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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Toronto Rock 34-12-3, 71pts · 1st in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 53 | 40 | 79 | 28 | 86 | 95 | 93 | 72 | 25 | 69 | 86 | 57 | 86 | 99 | 99 | 84 | 75 | 80 | 36 | 9,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 42 | 64 | 78 | 31 | 68 | 92 | 80 | 70 | 76 | 68 | 83 | 65 | 73 | 67 | 59 | 82 | 75 | 80 | 26 | 6,750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 45 | 72 | 29 | 75 | 84 | 98 | 68 | 53 | 75 | 81 | 69 | 18 | 62 | 54 | 83 | 75 | 80 | 26 | 2,250,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 40 | 40 | 76 | 32 | 70 | 91 | 91 | 70 | 95 | 77 | 78 | 72 | 46 | 93 | 99 | 81 | 75 | 80 | 34 | 9,000,000$/1yrs | |||
![]() | 28 | RW | 100.00 | 43 | 44 | 79 | 34 | 70 | 88 | 97 | 69 | 60 | 67 | 81 | 69 | 54 | 62 | 56 | 79 | 75 | 78 | 27 | 4,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 46 | 81 | 47 | 79 | 79 | 82 | 65 | 40 | 62 | 75 | 88 | 54 | 49 | 44 | 73 | 75 | 77 | 29 | 500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 36 | 40 | 75 | 41 | 76 | 88 | 97 | 72 | 66 | 76 | 76 | 81 | 18 | 58 | 48 | 73 | 75 | 76 | 27 | 4,500,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 47 | 40 | 77 | 35 | 81 | 84 | 78 | 68 | 25 | 69 | 80 | 67 | 18 | 48 | 43 | 78 | 75 | 76 | 24 | 800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 55 | 69 | 43 | 75 | 80 | 98 | 69 | 25 | 68 | 77 | 83 | 76 | 64 | 55 | 73 | 75 | 76 | 30 | 3,800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 86 | 68 | 83 | 43 | 71 | 79 | 36 | 67 | 25 | 70 | 78 | 82 | 18 | 51 | 44 | 73 | 75 | 75 | 30 | 3,500,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 32 | 40 | 83 | 45 | 81 | 73 | 88 | 67 | 67 | 73 | 74 | 82 | 46 | 66 | 54 | 73 | 75 | 75 | 30 | 450,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 67 | 43 | 86 | 79 | 97 | 67 | 74 | 70 | 77 | 78 | 46 | 42 | 39 | 73 | 75 | 75 | 23 | 1,460,000$/3yrs | |||
![]() | 0 | D | 100.00 | 48 | 49 | 66 | 39 | 77 | 95 | 94 | 83 | 25 | 91 | 70 | 87 | 66 | 58 | 48 | 85 | 75 | 87 | 24 | 4,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 67 | 66 | 43 | 81 | 89 | 98 | 77 | 25 | 84 | 72 | 81 | 18 | 62 | 57 | 79 | 75 | 81 | 28 | 8,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 38 | 49 | 68 | 37 | 67 | 84 | 77 | 83 | 25 | 94 | 72 | 62 | 46 | 75 | 63 | 88 | 75 | 78 | 31 | 6,500,000$/2yrs | |||
![]() | 2 | D | 100.00 | 61 | 84 | 77 | 49 | 97 | 81 | 87 | 68 | 25 | 80 | 71 | 83 | 18 | 66 | 54 | 71 | 75 | 76 | 29 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 50 | 82 | 52 | 81 | 74 | 43 | 59 | 25 | 59 | 70 | 83 | 18 | 53 | 51 | 70 | 75 | 75 | 25 | 1,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 48 | 44 | 75 | 51 | 75 | 79 | 92 | 63 | 25 | 77 | 71 | 83 | 18 | 58 | 51 | 70 | 75 | 75 | 29 | 1,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 73 | 99 | 78 | 51 | 84 | 70 | 66 | 65 | 25 | 57 | 73 | 72 | 46 | 44 | 40 | 73 | 75 | 72 | 27 | 450,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 66 | 40 | 85 | 53 | 81 | 68 | 75 | 59 | 25 | 60 | 72 | 68 | 18 | 39 | 39 | 73 | 75 | 72 | 26 | 450,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 50 | 40 | 85 | 46 | 77 | 76 | 87 | 68 | 25 | 70 | 75 | 69 | 18 | 36 | 34 | 73 | 75 | 72 | 22 | 809,167$/1yrs | |||
![]() | 0 | D | 100.00 | 36 | 40 | 83 | 51 | 71 | 79 | 54 | 69 | 25 | 76 | 72 | 70 | 18 | 50 | 43 | 70 | 75 | 71 | 30 | 700,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 52 | 51 | 77 | 42 | 78 | 82 | 82 | 69 | 40 | 72 | 76 | 75 | 38 | 59 | 53 | 76 | 75 | 77 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.50 | 94 | 94 | 90 | 75 | 94 | 92 | 93 | 94 | 96 | 93 | 74 | 57 | 48 | 90 | 75 | 90 | 26 | 2,000,000$/1yrs |
![]() | 0 | 100.00 | 91 | 90 | 83 | 81 | 91 | 87 | 91 | 91 | 91 | 91 | 74 | 51 | 44 | 80 | 75 | 81 | 29 | 875,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 89 | 99 | 90 | 71 | 89 | 88 | 89 | 88 | 88 | 89 | 83 | 68 | 55 | 66 | 75 | 72 | 30 | 1,500,000$/3yrs |
TEAM AVERAGE | 99.83 | 91 | 94 | 88 | 76 | 91 | 89 | 91 | 91 | 92 | 91 | 77 | 59 | 49 | 79 | 75 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 75 | 86 | 82 | 80 | 83 | 77 | 65 | USA | 57 | 1 | 0$ |
General Manager | Stephen Marson |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brayden Point | ![]() | 0 | C | 47 | 26 | 29 | 55 | 19 | 18 | 0 | 35 | 130 | 36 | 70 | 20.00% | 20 | 17.90 | 8 | 11 | 19 | 0 | 1 | 1 | 31 | 8 | 2 | 54.12% | 813 | 21 | 7 | 0 | 2 | 1.31 | 0 | 0 |
2 | Charlie McAvoy | ![]() | 0 | D | 49 | 3 | 51 | 54 | 28 | 64 | 10 | 69 | 114 | 46 | 54 | 2.63% | 85 | 24.75 | 1 | 15 | 16 | 0 | 0 | 0 | 180 | 1 | 0 | 0.00% | 0 | 9 | 19 | 0 | 0 | 0.89 | 0 | 0 |
3 | Claude Giroux | ![]() | 0 | C/LW/RW | 49 | 19 | 33 | 52 | 24 | 8 | 0 | 39 | 134 | 36 | 71 | 14.18% | 12 | 16.39 | 7 | 10 | 17 | 1 | 0 | 1 | 18 | 6 | 0 | 65.29% | 605 | 25 | 5 | 0 | 0 | 1.30 | 0 | 1 |
4 | Alexander Ovechkin | ![]() | 0 | LW | 49 | 25 | 26 | 51 | 24 | 16 | 0 | 70 | 118 | 45 | 80 | 21.19% | 9 | 19.18 | 6 | 7 | 13 | 0 | 1 | 1 | 53 | 6 | 3 | 31.17% | 77 | 30 | 2 | 0 | 1 | 1.09 | 0 | 1 |
5 | Brandon Tanev | ![]() | 0 | LW/RW | 49 | 22 | 25 | 47 | 16 | 29 | 25 | 182 | 175 | 48 | 127 | 12.57% | 27 | 19.47 | 7 | 12 | 19 | 1 | 1 | 2 | 211 | 2 | 2 | 23.73% | 59 | 40 | 9 | 1 | 2 | 0.99 | 0 | 0 |
6 | Oliver Bjorkstrand | ![]() | 28 | RW | 49 | 21 | 25 | 46 | 15 | 6 | 0 | 41 | 135 | 41 | 102 | 15.56% | 6 | 16.57 | 9 | 9 | 18 | 0 | 0 | 0 | 0 | 4 | 0 | 50.00% | 40 | 32 | 4 | 0 | 0 | 1.13 | 0 | 0 |
7 | Torey Krug | ![]() | 0 | D | 49 | 6 | 37 | 43 | 0 | 52 | 0 | 22 | 92 | 42 | 32 | 6.52% | 38 | 18.81 | 3 | 12 | 15 | 0 | 1 | 1 | 31 | 2 | 1 | 0.00% | 0 | 11 | 5 | 0 | 0 | 0.93 | 0 | 0 |
8 | Jacob Trouba | ![]() | 0 | D | 49 | 9 | 19 | 28 | 23 | 103 | 35 | 130 | 91 | 37 | 39 | 9.89% | 57 | 24.65 | 5 | 8 | 13 | 0 | 0 | 0 | 181 | 2 | 0 | 0.00% | 0 | 11 | 18 | 0 | 0 | 0.46 | 0 | 0 |
9 | Ivan Barbashev | ![]() | 0 | C/LW | 49 | 10 | 15 | 25 | 2 | 18 | 0 | 100 | 79 | 35 | 57 | 12.66% | 11 | 13.60 | 5 | 9 | 14 | 0 | 1 | 1 | 13 | 2 | 0 | 41.11% | 90 | 18 | 2 | 0 | 0 | 0.75 | 0 | 0 |
10 | Blake Coleman | ![]() | 0 | C/LW/RW | 48 | 9 | 15 | 24 | -5 | 33 | 5 | 102 | 122 | 43 | 74 | 7.38% | 19 | 14.80 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 1 | 15.52% | 58 | 30 | 10 | 0 | 0 | 0.68 | 0 | 0 |
11 | Alexander Wennberg | ![]() | 0 | C | 49 | 9 | 14 | 23 | 4 | 16 | 0 | 16 | 95 | 45 | 63 | 9.47% | 26 | 15.58 | 0 | 0 | 0 | 2 | 1 | 3 | 219 | 0 | 1 | 47.11% | 675 | 18 | 12 | 0 | 0 | 0.60 | 0 | 0 |
12 | Jesse Puljujarvi | ![]() | 0 | RW | 48 | 6 | 9 | 15 | 14 | 16 | 0 | 38 | 78 | 29 | 47 | 7.69% | 9 | 13.98 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 36.00% | 25 | 16 | 3 | 0 | 0 | 0.45 | 0 | 0 |
13 | Jimmy Vesey | ![]() | 0 | LW/RW | 48 | 5 | 6 | 11 | -14 | 8 | 0 | 43 | 88 | 25 | 67 | 5.68% | 19 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 1 | 0 | 33.33% | 24 | 17 | 8 | 0 | 0 | 0.35 | 0 | 0 |
14 | Jamie Oleksiak | ![]() | 2 | D | 47 | 1 | 9 | 10 | -6 | 76 | 50 | 88 | 45 | 20 | 38 | 2.22% | 65 | 20.08 | 0 | 3 | 3 | 0 | 0 | 0 | 114 | 0 | 1 | 0.00% | 0 | 5 | 20 | 0 | 0 | 0.21 | 0 | 0 |
15 | Dylan DeMelo | ![]() | 0 | D | 45 | 2 | 8 | 10 | 10 | 34 | 0 | 39 | 43 | 15 | 14 | 4.65% | 55 | 16.93 | 0 | 1 | 1 | 0 | 1 | 1 | 85 | 0 | 0 | 0.00% | 0 | 5 | 9 | 0 | 0 | 0.26 | 0 | 0 |
16 | Riley Sheahan | ![]() | 0 | C/LW | 49 | 4 | 4 | 8 | -4 | 6 | 0 | 10 | 69 | 24 | 57 | 5.80% | 20 | 11.78 | 0 | 0 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 52.27% | 44 | 22 | 7 | 1 | 0 | 0.28 | 0 | 0 |
17 | Michael Rasmussen | ![]() | 0 | C | 49 | 3 | 4 | 7 | -10 | 30 | 0 | 74 | 57 | 18 | 47 | 5.26% | 10 | 10.50 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 52.11% | 284 | 23 | 5 | 0 | 0 | 0.27 | 0 | 0 |
18 | Haydn Fleury | ![]() | 0 | D | 47 | 1 | 3 | 4 | 0 | 15 | 5 | 48 | 31 | 15 | 21 | 3.23% | 44 | 16.14 | 0 | 0 | 0 | 1 | 0 | 1 | 106 | 1 | 0 | 0.00% | 0 | 2 | 12 | 0 | 0 | 0.11 | 0 | 0 |
19 | Jordan Oesterle | ![]() | 0 | D | 6 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 5 | 1 | 2 | 0.00% | 5 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.42 | 0 | 0 |
20 | Fabian Zetterlund | ![]() | 0 | C/RW | 37 | 1 | 0 | 1 | -8 | 8 | 0 | 23 | 32 | 11 | 21 | 3.12% | 4 | 8.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27.59% | 58 | 11 | 1 | 0 | 0 | 0.06 | 0 | 0 |
21 | John Hayden | ![]() | 0 | C/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 3.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
22 | Hudson Fasching | ![]() | 0 | RW | 14 | 0 | 0 | 0 | -5 | 0 | 0 | 13 | 3 | 3 | 3 | 0.00% | 0 | 6.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 928 | 182 | 334 | 516 | 129 | 556 | 130 | 1185 | 1737 | 616 | 1086 | 10.48% | 541 | 16.38 | 51 | 98 | 149 | 1375 | 5 | 7 | 12 | 1440 | 35 | 11 | 51.19% | 2862 | 349 | 162 | 2 | 5 | 0.68 | 0 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ilya Sorokin | ![]() | 39 | 27 | 9 | 3 | 0.922 | 2.35 | 2352 | 0 | 1 | 92 | 1187 | 606 | 0 | 0 | 0.333 | 3 | 39 | 10 | 8 | 4 | 2 |
2 | Scott Wedgewood | ![]() | 10 | 7 | 3 | 0 | 0.924 | 2.60 | 601 | 2 | 0 | 26 | 344 | 186 | 0 | 0 | 0.000 | 0 | 10 | 39 | 0 | 2 | 0 |
Team Total or Average | 49 | 34 | 12 | 3 | 0.923 | 2.40 | 2954 | 2 | 1 | 118 | 1531 | 792 | 0 | 0 | 0.333 | 3 | 49 | 49 | 8 | 6 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 5.00 | -3.00 | 1 | 0.250 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 3 | 0 | 0 | 31.5 | 18 | 23 | 21 | 1 | 33.5 | 6.0 | 14.00 | 19.0 | 3.00 | 0.50 | 16.67% | 4.50 | 1.50 | 66.67% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 13.00 | 24.50 | 8.50 | 15.00 | 7.50 | 30.0% | 6.3% | 85.1% | 91.4 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 2 | 0.500 | 5.0 | 8.5 | 13.5 | 0 | 0 | 2 | 5 | 3 | 0 | 38.0 | 30 | 21 | 25 | 0 | 29.5 | 12.5 | 15.00 | 29.5 | 4.00 | 1.50 | 37.50% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 24.50 | 16.50 | 19.50 | 8.00 | 15.00 | 7.50 | 58.3% | 13.2% | 88.1% | 101.3 | FUN |
3 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 3.33 | 1.67 | 1.67 | 6 | 1.000 | 3.3 | 6.3 | 9.7 | 0 | 0 | 2 | 3 | 4 | 1 | 29.7 | 34 | 16 | 35 | 4 | 33.0 | 8.3 | 5.33 | 19.7 | 3.33 | 0.67 | 20.00% | 2.67 | 0.33 | 87.50% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.67 | 13.33 | 25.00 | 8.00 | 14.67 | 7.00 | 66.7% | 11.2% | 94.9% | 106.2 | LUCKY |
4 | ![]() | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 3.40 | 2.20 | 1.20 | 8 | 0.800 | 3.4 | 6.4 | 9.8 | 0 | 1 | 8 | 3 | 5 | 1 | 30.6 | 61 | 46 | 43 | 3 | 34.4 | 11.8 | 10.40 | 21.8 | 3.80 | 1.20 | 31.58% | 4.20 | 0.60 | 85.71% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.80 | 12.80 | 23.80 | 8.60 | 15.20 | 7.40 | 57.9% | 11.1% | 93.6% | 104.7 | LUCKY |
5 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 5.67 | 2.33 | 3.33 | 6 | 1.000 | 5.7 | 11.3 | 17.0 | 0 | 0 | 3 | 5 | 8 | 1 | 33.7 | 31 | 40 | 23 | 7 | 29.3 | 14.3 | 14.33 | 21.3 | 2.67 | 0.67 | 25.00% | 4.67 | 0.00 | 100.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.33 | 15.33 | 22.67 | 8.00 | 14.33 | 7.00 | 68.2% | 16.8% | 92.0% | 108.9 | LUCKY |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 1 | 2 | 0 | 34.0 | 7 | 10 | 17 | 0 | 31.0 | 8.0 | 10.00 | 21.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.00 | 16.00 | 21.00 | 7.00 | 14.00 | 7.00 | 40.0% | 8.8% | 83.9% | 92.7 | Unlucky |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.5 | 13.5 | 0 | 0 | 5 | 2 | 3 | 0 | 40.0 | 23 | 33 | 24 | 0 | 30.5 | 10.0 | 11.50 | 23.0 | 6.00 | 2.00 | 33.33% | 4.50 | 1.00 | 77.78% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.50 | 14.50 | 21.00 | 8.00 | 14.50 | 7.50 | 85.7% | 12.5% | 95.1% | 107.6 | LUCKY |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 2 | 4 | 0 | 37.0 | 22 | 23 | 29 | 0 | 30.5 | 14.0 | 17.00 | 23.0 | 3.00 | 1.00 | 33.33% | 4.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 13.50 | 23.50 | 8.50 | 15.00 | 7.00 | 63.6% | 12.2% | 93.4% | 105.6 | LUCKY |
9 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.50 | 2.50 | 1.00 | 3 | 0.750 | 3.5 | 6.0 | 9.5 | 0 | 0 | 1 | 1 | 5 | 0 | 33.0 | 18 | 26 | 22 | 0 | 31.5 | 10.0 | 17.50 | 19.0 | 4.50 | 1.00 | 22.22% | 7.50 | 0.00 | 100.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.50 | 12.00 | 24.50 | 8.00 | 14.50 | 7.00 | 50.0% | 10.6% | 92.1% | 102.7 | LUCKY |
10 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.00 | 2.50 | 4 | 1.000 | 3.5 | 7.0 | 10.5 | 0 | 0 | 4 | 1 | 2 | 0 | 37.0 | 32 | 11 | 31 | 0 | 30.5 | 9.0 | 3.00 | 26.5 | 6.00 | 2.50 | 41.67% | 1.50 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 24.00 | 15.00 | 20.50 | 8.00 | 14.50 | 7.00 | 50.0% | 9.5% | 96.7% | 106.2 | LUCKY |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 2 | 0 | 0 | 27.0 | 9 | 9 | 9 | 0 | 31.0 | 11.0 | 6.00 | 26.0 | 10.00 | 4.00 | 40.00% | 3.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 12.00 | 22.00 | 9.00 | 16.00 | 7.00 | 0.0% | 14.8% | 96.8% | 111.6 | LUCKY |
12 | ![]() | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 0 | 2 | 26.5 | 20 | 12 | 18 | 3 | 33.0 | 11.5 | 11.00 | 23.5 | 2.00 | 0.00 | 0.00% | 5.50 | 0.50 | 90.91% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 19.50 | 11.00 | 24.00 | 9.00 | 16.00 | 7.50 | 71.4% | 9.4% | 95.5% | 104.9 | LUCKY |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 3 | 0 | 1 | 0 | 35.0 | 13 | 14 | 8 | 0 | 21.0 | 6.0 | 9.00 | 28.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 25.00 | 17.00 | 18.00 | 8.00 | 16.00 | 8.00 | 60.0% | 11.4% | 90.5% | 101.9 | FUN |
14 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 2 | 2 | 0 | 27.5 | 20 | 20 | 15 | 0 | 32.5 | 10.0 | 15.00 | 21.5 | 2.50 | 1.00 | 40.00% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 13.00 | 22.50 | 8.50 | 15.00 | 7.00 | 50.0% | 10.9% | 90.8% | 101.7 | FUN |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.00 | 3.50 | 1.50 | 3 | 0.750 | 5.0 | 10.0 | 15.0 | 0 | 0 | 4 | 5 | 1 | 0 | 38.0 | 30 | 20 | 22 | 6 | 32.5 | 9.5 | 14.00 | 20.5 | 5.00 | 2.50 | 50.00% | 4.50 | 2.00 | 55.56% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 25.00 | 17.00 | 21.50 | 8.00 | 15.00 | 7.00 | 62.5% | 13.2% | 89.2% | 102.4 | FUN |
16 | ![]() | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2.75 | 2.50 | 0.25 | 4 | 0.500 | 2.8 | 5.0 | 7.8 | 0 | 0 | 2 | 8 | 1 | 0 | 29.8 | 35 | 51 | 33 | 0 | 27.0 | 12.5 | 9.50 | 26.5 | 2.50 | 0.50 | 20.00% | 3.50 | 0.50 | 85.71% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.50 | 13.75 | 22.00 | 8.25 | 15.25 | 7.75 | 52.9% | 9.2% | 90.7% | 100.0 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 28.0 | 16 | 6 | 6 | 0 | 39.0 | 6.0 | 10.00 | 21.0 | 1.00 | 0.00 | 0.00% | 5.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.00 | 15.00 | 21.00 | 8.00 | 14.00 | 6.00 | 40.0% | 7.1% | 92.3% | 99.5 | DULL |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 3.0 | 6.0 | 0 | 0 | 0 | 2 | 1 | 0 | 28.0 | 6 | 11 | 11 | 0 | 26.0 | 6.0 | 13.00 | 28.0 | 1.00 | 0.00 | 0.00% | 4.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 12.00 | 21.00 | 8.00 | 16.00 | 8.00 | 75.0% | 10.7% | 96.2% | 106.9 | LUCKY |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 0 | 2 | 0 | 36.0 | 28 | 23 | 21 | 0 | 26.0 | 10.5 | 7.00 | 23.0 | 4.50 | 1.00 | 22.22% | 3.50 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.50 | 13.00 | 23.00 | 8.50 | 15.00 | 7.00 | 50.0% | 6.9% | 94.2% | 101.2 | DULL |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 0 | 1 | 0 | 26.5 | 17 | 26 | 10 | 0 | 34.5 | 11.5 | 10.00 | 18.0 | 6.00 | 2.00 | 33.33% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 12.50 | 22.50 | 8.50 | 15.50 | 7.50 | 25.0% | 9.4% | 92.8% | 102.2 | LUCKY |
21 | ![]() | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 2.40 | 2.60 | -0.20 | 6 | 0.600 | 2.4 | 4.2 | 6.6 | 0 | 0 | 3 | 4 | 4 | 1 | 31.0 | 42 | 52 | 59 | 2 | 33.8 | 10.6 | 7.80 | 18.6 | 1.20 | 0.20 | 16.67% | 3.80 | 0.60 | 84.21% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.80 | 13.60 | 22.20 | 8.20 | 15.80 | 7.40 | 52.4% | 7.7% | 92.3% | 100.0 | DULL |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 4.00 | 3.00 | 2 | 1.000 | 7.0 | 13.0 | 20.0 | 0 | 0 | 1 | 4 | 2 | 0 | 36.0 | 11 | 12 | 13 | 0 | 18.0 | 8.0 | 7.00 | 25.0 | 7.00 | 2.00 | 28.57% | 1.00 | 1.00 | 0.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 28.00 | 20.00 | 15.00 | 8.00 | 16.00 | 8.00 | 62.5% | 19.4% | 77.8% | 97.2 | FUN |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 5.0 | 8.0 | 0 | 0 | 0 | 1 | 2 | 0 | 32.0 | 11 | 8 | 13 | 0 | 40.0 | 11.0 | 8.00 | 24.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 19.00 | 11.00 | 25.00 | 8.00 | 14.00 | 7.00 | 75.0% | 9.4% | 95.0% | 104.4 | LUCKY |
_Vs Division | 18 | 10 | 6 | 0 | 2 | 0 | 0 | 0 | 3.17 | 2.39 | 0.78 | 24 | 0.667 | 3.2 | 5.6 | 8.8 | 0 | 1 | 17 | 24 | 14 | 2 | 31.0 | 183 | 190 | 180 | 5 | 31.4 | 11.3 | 9.89 | 23.4 | 3.00 | 0.89 | 29.63% | 3.94 | 0.56 | 85.92% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.06 | 13.67 | 22.33 | 8.44 | 15.61 | 7.61 | 55.4% | 10.2% | 92.4% | 102.6 | LUCKY | |
_Vs Conference | 29 | 18 | 7 | 0 | 3 | 1 | 0 | 0 | 3.31 | 2.17 | 1.14 | 43 | 0.741 | 3.3 | 5.9 | 9.2 | 0 | 1 | 31 | 31 | 31 | 3 | 32.1 | 310 | 310 | 303 | 9 | 31.1 | 10.6 | 9.76 | 22.8 | 3.41 | 0.93 | 27.27% | 4.00 | 0.48 | 87.93% | 4 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 13.66 | 22.76 | 8.41 | 15.38 | 7.52 | 58.5% | 10.3% | 93.0% | 103.3 | LUCKY | |
_Since Last GM Reset | 49 | 28 | 12 | 0 | 6 | 2 | 0 | 1 | 3.49 | 2.43 | 1.06 | 71 | 0.724 | 3.5 | 6.4 | 9.9 | 0 | 1 | 56 | 56 | 53 | 6 | 32.2 | 534 | 513 | 508 | 26 | 31.2 | 10.5 | 10.63 | 22.4 | 3.55 | 1.04 | 29.31% | 4.10 | 0.59 | 85.57% | 5 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.35 | 14.06 | 22.63 | 8.47 | 15.33 | 7.49 | 57.1% | 10.8% | 92.2% | 103.1 | LUCKY | |
Total | 49 | 28 | 12 | 0 | 6 | 2 | 0 | 1 | 3.49 | 2.43 | 1.06 | 71 | 0.724 | 3.5 | 6.4 | 9.9 | 0 | 1 | 56 | 56 | 53 | 6 | 32.2 | 534 | 513 | 508 | 26 | 31.2 | 10.5 | 10.63 | 22.4 | 3.55 | 1.04 | 29.31% | 4.10 | 0.59 | 85.57% | 5 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.35 | 14.06 | 22.63 | 8.47 | 15.33 | 7.49 | 57.1% | 10.8% | 92.2% | 103.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1067 |
Neutral Zone Start | 622 |
Defensive Zone Start | 1085 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1452 |
Faceoffs Lost | 1322 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 115 |
---|---|
PP Goal | 51 |
PK Goal | 5 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 14 |
Lost | 4 | 8 |
Overtime Lost | 2 | 1 |
PP Attempt | 174 |
---|---|
PP Goal | 51 |
PK Attempt | 201 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 31.2 |
Goals For | 3.5 |
Goals Against | 2.4 |
Hits | 22.4 |
Shots Blocked | 10.5 |
Pim | 10.6 |
![]() | |
Total Salaries | 79,964,292$ |
Projected Total Cap Hit | 79,180,045$ |
Projected Cap Space | 2,319,955$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,077,974$ |
Players Signed (45 – 60) | 59 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 18 |
LTIR Players | 0 |
Rock Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Ovechkin | LW | 36 | 9,500,000$ | 4,156,250$ | 9,500,000$ | 9,500,000$ | UFA | |||||
Alexander Wennberg | C | 27 | 4,500,000$ | 1,968,750$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Blake Coleman | C/LW/RW | 30 | 3,800,000$ | 1,662,500$ | 3,800,000$ | UFA | ||||||
Brandon Tanev | LW/RW | 30 | 3,500,000$ | 1,531,250$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Brayden Point | C | 26 | 6,750,000$ | 2,953,125$ | 6,750,000$ | RFA | ||||||
Charlie McAvoy | D | 24 | 4,900,000$ | 2,143,750$ | 4,900,000$ | RFA | ||||||
Claude Giroux | C/LW/RW | 34 | 9,000,000$ | 3,937,500$ | 9,000,000$ | UFA | ||||||
Dylan DeMelo | D | 29 | 1,500,000$ | 656,250$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Fabian Zetterlund | C/RW | 22 | 809,167$ | 354,011$ | 809,167$ | RFA | ||||||
Haydn Fleury | D | 25 | 1,300,000$ | 568,750$ | 1,300,000$ | RFA | ||||||
Hudson Fasching | RW | 26 | 450,000$ | 196,875$ | 450,000$ | 450,000$ | UFA | |||||
Ilya Sorokin | G | 26 | 2,000,000$ | 875,000$ | 2,000,000$ | RFA | ||||||
Ivan Barbashev | C/LW | 26 | 2,250,000$ | 984,375$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Jacob Trouba | D | 28 | 8,000,000$ | 3,500,000$ | 8,000,000$ | UFA | ||||||
Jamie Oleksiak | D | 29 | 1,100,000$ | 481,250$ | 1,100,000$ | UFA | ||||||
Jesse Puljujarvi | RW | 24 | 800,000$ | 350,000$ | 800,000$ | RFA | ||||||
Jimmy Vesey | LW/RW | 29 | 500,000$ | 218,750$ | 500,000$ | UFA | ||||||
John Hayden | C/RW | 27 | 450,000$ | 196,875$ | 450,000$ | 450,000$ | UFA | |||||
Jordan Oesterle | D | 30 | 700,000$ | 306,250$ | 700,000$ | UFA | ||||||
Michael Rasmussen | C | 23 | 1,460,000$ | 638,750$ | 1,460,000$ | 1,460,000$ | 1,460,000$ | RFA | ||||
Oliver Bjorkstrand | RW | 27 | 4,500,000$ | 1,968,750$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Philipp Grubauer | G | 30 | 1,500,000$ | 656,250$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Riley Sheahan | C/LW | 30 | 450,000$ | 196,875$ | 450,000$ | UFA | ||||||
Scott Wedgewood | G | 29 | 875,000$ | 382,812$ | 875,000$ | UFA | ||||||
Torey Krug | D | 31 | 6,500,000$ | 2,843,750$ | 6,500,000$ | 6,500,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning | D | 22 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | RFA | |||||
Alex Lyon | G | 29 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||||
Alexei Toropchenko | RW | 23 | 775,000$ | 33,906$ | 77,500$ | RFA | ||||||
Andy Welinski | D | 29 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Anthony Angello | C/RW | 26 | 725,000$ | 31,719$ | 72,500$ | RFA | ||||||
Bobby Brink | RW | 20 | 725,000$ | 31,719$ | 72,500$ | RFA | ||||||
Brandon Davidson | D | 30 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Cade Webber | D | 21 | 550,000$ | 24,063$ | 55,000$ | RFA | ||||||
Cole Coskey | RW | 23 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
David Gustafsson | C | 22 | 817,500$ | 35,766$ | 81,750$ | RFA | ||||||
Dylan Garand | G | 20 | 550,000$ | 24,063$ | 55,000$ | 55,000$ | RFA | |||||
Emil Heineman | LW/RW | 20 | 725,000$ | 31,719$ | 72,500$ | 72,500$ | RFA | |||||
Hugh McGing | C | 23 | 883,750$ | 38,664$ | 88,375$ | RFA | ||||||
Jack St. Ivany | D | 22 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||
Jonatan Berggren | C/LW/RW | 21 | 925,000$ | 40,469$ | 92,500$ | 92,500$ | 92,500$ | RFA | ||||
Juuso Parssinen | C/LW | 21 | 450,000$ | 19,688$ | 45,000$ | 45,000$ | RFA | |||||
Kaiden Guhle | D | 20 | 875,000$ | 38,281$ | 87,500$ | 87,500$ | RFA | |||||
Kasper Bjorkqvist | LW/RW | 24 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Kiefer Sherwood | C/LW/RW | 27 | 750,000$ | 32,813$ | 75,000$ | UFA | ||||||
Kurtis MacDermid | D | 28 | 875,000$ | 38,281$ | 87,500$ | UFA | ||||||
Kyle Capobianco | D | 24 | 775,000$ | 33,906$ | 77,500$ | RFA | ||||||
Landon Slaggert | C/LW | 20 | 625,000$ | 27,344$ | 62,500$ | 62,500$ | RFA | |||||
Linus Karlsson | C/RW | 22 | 750,000$ | 32,813$ | 75,000$ | 75,000$ | RFA | |||||
Marcus Davidsson | C/LW/RW | 23 | 475,000$ | 20,781$ | 47,500$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||
Mark Friedman | D | 26 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
Nikita Nesterenko | C | 20 | 475,000$ | 20,781$ | 47,500$ | RFA | ||||||
Nikita Okhotyuk | D | 21 | 625,000$ | 27,344$ | 62,500$ | RFA | ||||||
Pavel Novak | RW | 20 | 475,000$ | 20,781$ | 47,500$ | 47,500$ | RFA | |||||
Philip Broberg | D | 21 | 875,000$ | 38,281$ | 87,500$ | RFA | ||||||
Rhett Gardner | C/LW | 26 | 925,000$ | 40,469$ | 92,500$ | RFA | ||||||
Rhett Pitlick | LW | 21 | 500,000$ | 21,875$ | 50,000$ | RFA | ||||||
Tyler Benson | LW | 24 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Vitali Kravtsov | RW | 22 | 925,000$ | 40,469$ | 92,500$ | RFA | ||||||
Zach Fucale | G | 27 | 700,000$ | 306,250$ | 700,000$ | 700,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.00 | 5.00 | -3.00 | 1 | 0.250 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 3 | 0 | 0 | 31.5 | 18 | 23 | 21 | 1 | 33.5 | 6.0 | 14.00 | 19.0 | 3.00 | 0.50 | 16.67% | 4.50 | 1.50 | 66.67% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 13.00 | 24.50 | 8.50 | 15.00 | 7.50 | 30.0% | 6.3% | 85.1% | 91.4 | Unlucky |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 2 | 0.500 | 5.0 | 8.5 | 13.5 | 0 | 0 | 2 | 5 | 3 | 0 | 38.0 | 30 | 21 | 25 | 0 | 29.5 | 12.5 | 15.00 | 29.5 | 4.00 | 1.50 | 37.50% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 24.50 | 16.50 | 19.50 | 8.00 | 15.00 | 7.50 | 58.3% | 13.2% | 88.1% | 101.3 | FUN |
3 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 3.33 | 1.67 | 1.67 | 6 | 1.000 | 3.3 | 6.3 | 9.7 | 0 | 0 | 2 | 3 | 4 | 1 | 29.7 | 34 | 16 | 35 | 4 | 33.0 | 8.3 | 5.33 | 19.7 | 3.33 | 0.67 | 20.00% | 2.67 | 0.33 | 87.50% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.67 | 13.33 | 25.00 | 8.00 | 14.67 | 7.00 | 66.7% | 11.2% | 94.9% | 106.2 | LUCKY |
4 | ![]() | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 3.40 | 2.20 | 1.20 | 8 | 0.800 | 3.4 | 6.4 | 9.8 | 0 | 1 | 8 | 3 | 5 | 1 | 30.6 | 61 | 46 | 43 | 3 | 34.4 | 11.8 | 10.40 | 21.8 | 3.80 | 1.20 | 31.58% | 4.20 | 0.60 | 85.71% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.80 | 12.80 | 23.80 | 8.60 | 15.20 | 7.40 | 57.9% | 11.1% | 93.6% | 104.7 | LUCKY |
5 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 5.67 | 2.33 | 3.33 | 6 | 1.000 | 5.7 | 11.3 | 17.0 | 0 | 0 | 3 | 5 | 8 | 1 | 33.7 | 31 | 40 | 23 | 7 | 29.3 | 14.3 | 14.33 | 21.3 | 2.67 | 0.67 | 25.00% | 4.67 | 0.00 | 100.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.33 | 15.33 | 22.67 | 8.00 | 14.33 | 7.00 | 68.2% | 16.8% | 92.0% | 108.9 | LUCKY |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 5.00 | -2.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 1 | 2 | 0 | 34.0 | 7 | 10 | 17 | 0 | 31.0 | 8.0 | 10.00 | 21.0 | 4.00 | 1.00 | 25.00% | 5.00 | 2.00 | 60.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.00 | 16.00 | 21.00 | 7.00 | 14.00 | 7.00 | 40.0% | 8.8% | 83.9% | 92.7 | Unlucky |
7 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 8.5 | 13.5 | 0 | 0 | 5 | 2 | 3 | 0 | 40.0 | 23 | 33 | 24 | 0 | 30.5 | 10.0 | 11.50 | 23.0 | 6.00 | 2.00 | 33.33% | 4.50 | 1.00 | 77.78% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.50 | 14.50 | 21.00 | 8.00 | 14.50 | 7.50 | 85.7% | 12.5% | 95.1% | 107.6 | LUCKY |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.5 | 12.0 | 0 | 0 | 3 | 2 | 4 | 0 | 37.0 | 22 | 23 | 29 | 0 | 30.5 | 14.0 | 17.00 | 23.0 | 3.00 | 1.00 | 33.33% | 4.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 13.50 | 23.50 | 8.50 | 15.00 | 7.00 | 63.6% | 12.2% | 93.4% | 105.6 | LUCKY |
9 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3.50 | 2.50 | 1.00 | 3 | 0.750 | 3.5 | 6.0 | 9.5 | 0 | 0 | 1 | 1 | 5 | 0 | 33.0 | 18 | 26 | 22 | 0 | 31.5 | 10.0 | 17.50 | 19.0 | 4.50 | 1.00 | 22.22% | 7.50 | 0.00 | 100.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 20.50 | 12.00 | 24.50 | 8.00 | 14.50 | 7.00 | 50.0% | 10.6% | 92.1% | 102.7 | LUCKY |
10 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3.50 | 1.00 | 2.50 | 4 | 1.000 | 3.5 | 7.0 | 10.5 | 0 | 0 | 4 | 1 | 2 | 0 | 37.0 | 32 | 11 | 31 | 0 | 30.5 | 9.0 | 3.00 | 26.5 | 6.00 | 2.50 | 41.67% | 1.50 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 24.00 | 15.00 | 20.50 | 8.00 | 14.50 | 7.00 | 50.0% | 9.5% | 96.7% | 106.2 | LUCKY |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 2 | 2 | 0 | 0 | 27.0 | 9 | 9 | 9 | 0 | 31.0 | 11.0 | 6.00 | 26.0 | 10.00 | 4.00 | 40.00% | 3.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 12.00 | 22.00 | 9.00 | 16.00 | 7.00 | 0.0% | 14.8% | 96.8% | 111.6 | LUCKY |
12 | ![]() | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 0 | 2 | 26.5 | 20 | 12 | 18 | 3 | 33.0 | 11.5 | 11.00 | 23.5 | 2.00 | 0.00 | 0.00% | 5.50 | 0.50 | 90.91% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 19.50 | 11.00 | 24.00 | 9.00 | 16.00 | 7.50 | 71.4% | 9.4% | 95.5% | 104.9 | LUCKY |
13 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 3 | 0 | 1 | 0 | 35.0 | 13 | 14 | 8 | 0 | 21.0 | 6.0 | 9.00 | 28.0 | 3.00 | 1.00 | 33.33% | 2.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 25.00 | 17.00 | 18.00 | 8.00 | 16.00 | 8.00 | 60.0% | 11.4% | 90.5% | 101.9 | FUN |
14 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 2 | 2 | 2 | 0 | 27.5 | 20 | 20 | 15 | 0 | 32.5 | 10.0 | 15.00 | 21.5 | 2.50 | 1.00 | 40.00% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 13.00 | 22.50 | 8.50 | 15.00 | 7.00 | 50.0% | 10.9% | 90.8% | 101.7 | FUN |
15 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5.00 | 3.50 | 1.50 | 3 | 0.750 | 5.0 | 10.0 | 15.0 | 0 | 0 | 4 | 5 | 1 | 0 | 38.0 | 30 | 20 | 22 | 6 | 32.5 | 9.5 | 14.00 | 20.5 | 5.00 | 2.50 | 50.00% | 4.50 | 2.00 | 55.56% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 25.00 | 17.00 | 21.50 | 8.00 | 15.00 | 7.00 | 62.5% | 13.2% | 89.2% | 102.4 | FUN |
16 | ![]() | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 2.75 | 2.50 | 0.25 | 4 | 0.500 | 2.8 | 5.0 | 7.8 | 0 | 0 | 2 | 8 | 1 | 0 | 29.8 | 35 | 51 | 33 | 0 | 27.0 | 12.5 | 9.50 | 26.5 | 2.50 | 0.50 | 20.00% | 3.50 | 0.50 | 85.71% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.50 | 13.75 | 22.00 | 8.25 | 15.25 | 7.75 | 52.9% | 9.2% | 90.7% | 100.0 | FUN |
17 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.00 | -1.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 28.0 | 16 | 6 | 6 | 0 | 39.0 | 6.0 | 10.00 | 21.0 | 1.00 | 0.00 | 0.00% | 5.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 23.00 | 15.00 | 21.00 | 8.00 | 14.00 | 6.00 | 40.0% | 7.1% | 92.3% | 99.5 | DULL |
18 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 3.0 | 6.0 | 0 | 0 | 0 | 2 | 1 | 0 | 28.0 | 6 | 11 | 11 | 0 | 26.0 | 6.0 | 13.00 | 28.0 | 1.00 | 0.00 | 0.00% | 4.00 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 12.00 | 21.00 | 8.00 | 16.00 | 8.00 | 75.0% | 10.7% | 96.2% | 106.9 | LUCKY |
19 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.50 | 1.00 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 0 | 2 | 0 | 36.0 | 28 | 23 | 21 | 0 | 26.0 | 10.5 | 7.00 | 23.0 | 4.50 | 1.00 | 22.22% | 3.50 | 0.00 | 100.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.50 | 13.00 | 23.00 | 8.50 | 15.00 | 7.00 | 50.0% | 6.9% | 94.2% | 101.2 | DULL |
20 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 2.50 | 0.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 0 | 1 | 0 | 26.5 | 17 | 26 | 10 | 0 | 34.5 | 11.5 | 10.00 | 18.0 | 6.00 | 2.00 | 33.33% | 5.00 | 1.00 | 80.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.00 | 12.50 | 22.50 | 8.50 | 15.50 | 7.50 | 25.0% | 9.4% | 92.8% | 102.2 | LUCKY |
21 | ![]() | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 2.40 | 2.60 | -0.20 | 6 | 0.600 | 2.4 | 4.2 | 6.6 | 0 | 0 | 3 | 4 | 4 | 1 | 31.0 | 42 | 52 | 59 | 2 | 33.8 | 10.6 | 7.80 | 18.6 | 1.20 | 0.20 | 16.67% | 3.80 | 0.60 | 84.21% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 21.80 | 13.60 | 22.20 | 8.20 | 15.80 | 7.40 | 52.4% | 7.7% | 92.3% | 100.0 | DULL |
22 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 4.00 | 3.00 | 2 | 1.000 | 7.0 | 13.0 | 20.0 | 0 | 0 | 1 | 4 | 2 | 0 | 36.0 | 11 | 12 | 13 | 0 | 18.0 | 8.0 | 7.00 | 25.0 | 7.00 | 2.00 | 28.57% | 1.00 | 1.00 | 0.00% | 0 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 28.00 | 20.00 | 15.00 | 8.00 | 16.00 | 8.00 | 62.5% | 19.4% | 77.8% | 97.2 | FUN |
23 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 5.0 | 8.0 | 0 | 0 | 0 | 1 | 2 | 0 | 32.0 | 11 | 8 | 13 | 0 | 40.0 | 11.0 | 8.00 | 24.0 | 2.00 | 0.00 | 0.00% | 4.00 | 1.00 | 75.00% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 19.00 | 11.00 | 25.00 | 8.00 | 14.00 | 7.00 | 75.0% | 9.4% | 95.0% | 104.4 | LUCKY |
_Vs Division | 18 | 10 | 6 | 0 | 2 | 0 | 0 | 0 | 3.17 | 2.39 | 0.78 | 24 | 0.667 | 3.2 | 5.6 | 8.8 | 0 | 1 | 17 | 24 | 14 | 2 | 31.0 | 183 | 190 | 180 | 5 | 31.4 | 11.3 | 9.89 | 23.4 | 3.00 | 0.89 | 29.63% | 3.94 | 0.56 | 85.92% | 1 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.06 | 13.67 | 22.33 | 8.44 | 15.61 | 7.61 | 55.4% | 10.2% | 92.4% | 102.6 | LUCKY | |
_Vs Conference | 29 | 18 | 7 | 0 | 3 | 1 | 0 | 0 | 3.31 | 2.17 | 1.14 | 43 | 0.741 | 3.3 | 5.9 | 9.2 | 0 | 1 | 31 | 31 | 31 | 3 | 32.1 | 310 | 310 | 303 | 9 | 31.1 | 10.6 | 9.76 | 22.8 | 3.41 | 0.93 | 27.27% | 4.00 | 0.48 | 87.93% | 4 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.00 | 13.66 | 22.76 | 8.41 | 15.38 | 7.52 | 58.5% | 10.3% | 93.0% | 103.3 | LUCKY | |
_Since Last GM Reset | 49 | 28 | 12 | 0 | 6 | 2 | 0 | 1 | 3.49 | 2.43 | 1.06 | 71 | 0.724 | 3.5 | 6.4 | 9.9 | 0 | 1 | 56 | 56 | 53 | 6 | 32.2 | 534 | 513 | 508 | 26 | 31.2 | 10.5 | 10.63 | 22.4 | 3.55 | 1.04 | 29.31% | 4.10 | 0.59 | 85.57% | 5 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.35 | 14.06 | 22.63 | 8.47 | 15.33 | 7.49 | 57.1% | 10.8% | 92.2% | 103.1 | LUCKY | |
Total | 49 | 28 | 12 | 0 | 6 | 2 | 0 | 1 | 3.49 | 2.43 | 1.06 | 71 | 0.724 | 3.5 | 6.4 | 9.9 | 0 | 1 | 56 | 56 | 53 | 6 | 32.2 | 534 | 513 | 508 | 26 | 31.2 | 10.5 | 10.63 | 22.4 | 3.55 | 1.04 | 29.31% | 4.10 | 0.59 | 85.57% | 5 | 568 | 1067 | 53.23% | 550 | 1085 | 50.69% | 334 | 622 | 53.70% | 22.35 | 14.06 | 22.63 | 8.47 | 15.33 | 7.49 | 57.1% | 10.8% | 92.2% | 103.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1067 |
Neutral Zone Start | 622 |
Defensive Zone Start | 1085 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1452 |
Faceoffs Lost | 1322 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 115 |
---|---|
PP Goal | 51 |
PK Goal | 5 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 20 | 14 |
Lost | 4 | 8 |
Overtime Lost | 2 | 1 |
PP Attempt | 174 |
---|---|
PP Goal | 51 |
PK Attempt | 201 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 31.2 |
Goals For | 3.5 |
Goals Against | 2.4 |
Hits | 22.4 |
Shots Blocked | 10.5 |
Pim | 10.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tue, Mar 21 | ![]() | @ | ![]() | THU2,ROC6 | RECAP | |||||||||
Thu, Mar 23 | ![]() | @ | ![]() | ROC4,AVG1 | RECAP | |||||||||
Sat, Mar 25 | ![]() | @ | ![]() | HIT3,ROC1 | RECAP | |||||||||
Sun, Mar 26 | ![]() | @ | ![]() | ROC2,KNI3 | RECAP | |||||||||
Tue, Mar 28 | ![]() | @ | ![]() | TIT2,ROC3 | RECAP | |||||||||
Thu, Mar 30 | ![]() | @ | ![]() | GRI1,ROC3 | RECAP | |||||||||
Sun, Apr 2 | ![]() | @ | ![]() | FRE3,ROC7 | RECAP | |||||||||
Tue, Apr 4 | ![]() | @ | ![]() | ROC4,BRA1 | RECAP | |||||||||
Wed, Apr 5 | ![]() | @ | ![]() | ROC1,THU5 | RECAP | |||||||||
Sat, Apr 8 | ![]() | @ | ![]() | KNI1,ROC2 | RECAP | |||||||||
Tue, Apr 11 | ![]() | @ | ![]() | SLA4,ROC3 (SO) | RECAP | |||||||||
Wed, Apr 12 | ![]() | @ | ![]() | ROC3,FRE4 | RECAP | |||||||||
Sat, Apr 15 | ![]() | @ | ![]() | ROC4,MET2 | RECAP | |||||||||
Sun, Apr 16 | ![]() | @ | ![]() | KNI4,ROC1 | RECAP | |||||||||
Tue, Apr 18 | ![]() | @ | ![]() | HIT4,ROC5 (OT) | RECAP | |||||||||
Thu, Apr 20 | ![]() | @ | ![]() | ROC2,STO3 (OT) | RECAP | |||||||||
Sat, Apr 22 | ![]() | @ | ![]() | ROC2,HIT4 | RECAP | |||||||||
Sun, Apr 23 | ![]() | @ | ![]() | WOL1,ROC3 | RECAP | |||||||||
Fri, Apr 28 | ![]() | @ | ![]() | REV4,ROC3 (OT) | RECAP | |||||||||
Tue, May 2 | ![]() | @ | ![]() | ROC7,RIN4 | RECAP | |||||||||
Thu, May 4 | ![]() | @ | ![]() | JAG1,ROC3 | RECAP | |||||||||
Fri, May 5 | ![]() | @ | ![]() | ROC3,JAG5 | RECAP | |||||||||
Sun, May 7 | ![]() | @ | ![]() | HIT1,ROC2 | RECAP | |||||||||
Wed, May 10 | ![]() | @ | ![]() | ROC6,LYN5 (OT) | RECAP | |||||||||
Thu, May 11 | ![]() | @ | ![]() | HEL5,ROC3 | RECAP | |||||||||
Sun, May 14 | ![]() | @ | ![]() | ROC3,TRA1 | RECAP | |||||||||
Tue, May 16 | ![]() | @ | ![]() | THU0,ROC3 | RECAP | |||||||||
Thu, May 18 | ![]() | @ | ![]() | ROC2,HIT1 | RECAP | |||||||||
Sun, May 21 | ![]() | @ | ![]() | ROC1,REV6 | RECAP | |||||||||
Mon, May 22 | ![]() | @ | ![]() | TRA1,ROC4 | RECAP | |||||||||
Thu, May 25 | ![]() | @ | ![]() | ROC1,AVG2 | RECAP | |||||||||
Fri, May 26 | ![]() | @ | ![]() | MUS2,ROC5 | RECAP | |||||||||
Mon, May 29 | ![]() | @ | ![]() | THU1,ROC3 | RECAP | |||||||||
Tue, May 30 | ![]() | @ | ![]() | ROC4,THU3 (OT) | RECAP | |||||||||
Thu, Jun 1 | ![]() | @ | ![]() | ROC4,MUS2 | RECAP | |||||||||
Sat, Jun 3 | ![]() | @ | ![]() | SLA3,ROC7 | RECAP | |||||||||
Mon, Jun 5 | ![]() | @ | ![]() | ROC4,MAV2 | RECAP | |||||||||
Wed, Jun 7 | ![]() | @ | ![]() | BFT2,ROC3 | RECAP | |||||||||
Sat, Jun 10 | ![]() | @ | ![]() | ROC6,MAV1 | RECAP | |||||||||
Mon, Jun 12 | ![]() | @ | ![]() | KNI2,ROC6 | RECAP | |||||||||
Wed, Jun 14 | ![]() | @ | ![]() | ROC4,WOL2 | RECAP | |||||||||
Thu, Jun 15 | ![]() | @ | ![]() | STO2,ROC5 | RECAP | |||||||||
Sun, Jun 18 | ![]() | @ | ![]() | ROC3,WOL2 (OT) | RECAP | |||||||||
Tue, Jun 20 | ![]() | @ | ![]() | LYN1,ROC8 | RECAP | |||||||||
Wed, Jun 21 | ![]() | @ | ![]() | ROC2,BFT3 | RECAP | |||||||||
Sat, Jun 24 | ![]() | @ | ![]() | LYN1,ROC3 | RECAP | |||||||||
Sun, Jun 25 | ![]() | @ | ![]() | ROC3,GWS2 (OT) | RECAP | |||||||||
Wed, Jun 28 | ![]() | @ | ![]() | GWS1,ROC2 (OT) | RECAP | |||||||||
Sat, Jul 1 | ![]() | @ | ![]() | CRU3,ROC2 | RECAP | |||||||||
Mon, Jul 3 | ![]() | @ | ![]() | |||||||||||
Thu, Jul 6 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 8 | ![]() | @ | ![]() | |||||||||||
Sun, Jul 9 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 12 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 15 | ![]() | @ | ![]() | |||||||||||
Tue, Jul 18 | ![]() | @ | ![]() | |||||||||||
Thu, Jul 20 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 24 | ![]() | @ | ![]() | |||||||||||
Sun, Jul 30 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 3 | ![]() | @ | ![]() | |||||||||||
Fri, Aug 4 | ![]() | @ | ![]() | |||||||||||
Mon, Aug 7 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 8 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Fri, Aug 11 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 12 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 15 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 17 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 19 | ![]() | @ | ![]() | |||||||||||
Mon, Aug 21 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 26 | ![]() | @ | ![]() | |||||||||||
Sun, Aug 27 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 30 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 31 | ![]() | @ | ![]() | |||||||||||
Mon, Sep 4 | ![]() | @ | ![]() | |||||||||||
Wed, Sep 6 | ![]() | @ | ![]() | |||||||||||
Thu, Sep 7 | ![]() | @ | ![]() | |||||||||||
Sun, Sep 10 | ![]() | @ | ![]() | |||||||||||
Wed, Sep 13 | ![]() | @ | ![]() | |||||||||||
Sat, Sep 16 | ![]() | @ | ![]() | |||||||||||
Sun, Sep 17 | ![]() | @ | ![]() | |||||||||||
Tue, Sep 19 | ![]() | @ | ![]() | |||||||||||
Wed, Sep 20 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,794,167$ | 0$ | 79,180,045$ | 2,319,955$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Granite State Center | |
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 95$ | 55$ | 25$ | 15$ | 175$ |
Attendance | 147826 | 123357 | 51583 | 101284 | 24712 |
Attendance PCT | 94.76% | 94.89% | 99.20% | 97.39% | 95.05% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
15 | 17260 - 95.89% | 1,075,444$ | 27,961,540$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,794,167$ | 77,794,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
43,077,974$ | 405,178$ | 43,077,974$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,131,658$ | 84 | 405,178$ | 34,034,952$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,984,404$ | 79,180,045$ | 96,928,710$ | 78,975,546$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() | ![]() | |||
2024 | ![]() | ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Cameron Berg | ![]() | 2021 | 105 | ||
Carl Lindbom | ![]() | 2021 | 194 | ||
David Spacek | ![]() | 2022 | 98 | ||
Ilya Fedotov | ![]() | 2021 | 45 | ||
Jani Nyman | ![]() | 2022 | 42 | ||
Joakim Kemell | ![]() | 2022 | 14 | ||
Jordan Dumais | ![]() | 2022 | 70 | ||
Peter Reynolds | ![]() | 2021 | 147 | ||
Ryan Greene | ![]() | 2022 | 56 | ||
Sean Behrens | ![]() | 2021 | 69 | ||
Shai Buium | ![]() | 2021 | 41 | ||
Victor Stjernborg | ![]() | 2021 | 91 | ||
Zachary Bolduc | ![]() | 2021 | 13 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() | ![]() | |||
2024 | ![]() | ![]() ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Cameron Berg | ![]() | 2021 | 105 | ||
Carl Lindbom | ![]() | 2021 | 194 | ||
David Spacek | ![]() | 2022 | 98 | ||
Ilya Fedotov | ![]() | 2021 | 45 | ||
Jani Nyman | ![]() | 2022 | 42 | ||
Joakim Kemell | ![]() | 2022 | 14 | ||
Jordan Dumais | ![]() | 2022 | 70 | ||
Peter Reynolds | ![]() | 2021 | 147 | ||
Ryan Greene | ![]() | 2022 | 56 | ||
Sean Behrens | ![]() | 2021 | 69 | ||
Shai Buium | ![]() | 2021 | 41 | ||
Victor Stjernborg | ![]() | 2021 | 91 | ||
Zachary Bolduc | ![]() | 2021 | 13 |
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