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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Toronto Rock 9-1-1, 19pts · 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 | C | 100.00 | 59 | 40 | 94 | 94 | 60 | 84 | 99 | 94 | 74 | 84 | 95 | 62 | 67 | 74 | 79 | 90 | 75 | 84 | 28 | 9,500,000$/7yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 45 | 92 | 82 | 77 | 78 | 97 | 85 | 96 | 82 | 78 | 73 | 63 | 71 | 72 | 80 | 75 | 78 | 27 | 4,900,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 75 | 43 | 73 | 79 | 68 | 74 | 84 | 79 | 79 | 76 | 79 | 75 | 25 | 71 | 73 | 78 | 75 | 77 | 29 | 1,700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 53 | 89 | 87 | 75 | 78 | 95 | 83 | 93 | 82 | 72 | 75 | 35 | 72 | 77 | 76 | 75 | 76 | 30 | 2,500,000$/3yrs | |||
![]() | 28 | RW | 100.00 | 71 | 42 | 94 | 80 | 65 | 73 | 99 | 82 | 35 | 82 | 75 | 66 | 36 | 70 | 71 | 78 | 75 | 75 | 29 | 4,500,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 80 | 54 | 87 | 79 | 71 | 79 | 92 | 83 | 38 | 69 | 80 | 73 | 53 | 60 | 60 | 75 | 75 | 75 | 24 | 1,450,000$/2yrs | |||
![]() | 0 | C | 100.00 | 82 | 56 | 82 | 75 | 85 | 69 | 83 | 65 | 48 | 72 | 70 | 81 | 25 | 66 | 66 | 71 | 75 | 73 | 25 | 1,460,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 42 | 93 | 77 | 73 | 77 | 98 | 77 | 84 | 70 | 64 | 83 | 61 | 78 | 79 | 67 | 75 | 71 | 29 | 4,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 40 | 94 | 74 | 65 | 57 | 86 | 70 | 25 | 76 | 70 | 67 | 25 | 54 | 54 | 73 | 75 | 70 | 23 | 925,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 67 | 41 | 93 | 77 | 58 | 66 | 71 | 79 | 53 | 66 | 71 | 63 | 53 | 52 | 52 | 69 | 75 | 68 | 22 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 41 | 91 | 76 | 65 | 62 | 74 | 69 | 44 | 63 | 72 | 69 | 25 | 46 | 46 | 68 | 75 | 68 | 21 | 875,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 87 | 91 | 78 | 90 | 69 | 68 | 91 | 64 | 35 | 62 | 60 | 86 | 75 | 71 | 74 | 61 | 75 | 67 | 32 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 86 | 55 | 68 | 88 | 75 | 91 | 88 | 86 | 25 | 71 | 60 | 83 | 59 | 72 | 76 | 79 | 75 | 82 | 26 | 9,500,000$/7yrs | |||
![]() | 0 | D | 100.00 | 71 | 42 | 87 | 82 | 65 | 84 | 87 | 85 | 25 | 70 | 48 | 79 | 53 | 77 | 82 | 78 | 75 | 79 | 33 | 6,500,000$/3yrs | |||
![]() | 0 | D | 100.00 | 93 | 77 | 71 | 80 | 79 | 82 | 93 | 65 | 25 | 62 | 48 | 93 | 25 | 78 | 80 | 64 | 75 | 76 | 30 | 8,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 65 | 77 | 81 | 78 | 81 | 74 | 66 | 25 | 57 | 50 | 91 | 25 | 60 | 60 | 62 | 75 | 74 | 22 | 863,334$/2yrs | |||
![]() | 24 | D | 100.00 | 84 | 66 | 85 | 79 | 82 | 74 | 63 | 64 | 25 | 49 | 47 | 96 | 25 | 71 | 73 | 57 | 75 | 72 | 32 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 90 | 74 | 79 | 72 | 76 | 65 | 25 | 49 | 48 | 87 | 25 | 68 | 70 | 58 | 75 | 70 | 29 | 1,400,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 25 | LW | 100.00 | 65 | 43 | 90 | 80 | 80 | 65 | 83 | 85 | 41 | 79 | 68 | 61 | 60 | 85 | 85 | 73 | 75 | 70 | 35 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 85 | 45 | 88 | 82 | 71 | 63 | 95 | 65 | 25 | 59 | 70 | 75 | 25 | 60 | 61 | 65 | 75 | 67 | 25 | 1,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 99 | 83 | 76 | 57 | 74 | 64 | 25 | 52 | 47 | 76 | 25 | 55 | 56 | 59 | 75 | 65 | 23 | 863,333$/1yrs | |||
![]() | 24 | D | 100.00 | 76 | 44 | 77 | 79 | 76 | 65 | 79 | 62 | 25 | 47 | 48 | 80 | 25 | 79 | 79 | 55 | 75 | 65 | 33 | 550,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 75 | 51 | 86 | 81 | 72 | 73 | 86 | 74 | 44 | 67 | 65 | 77 | 40 | 68 | 69 | 70 | 75 | 73 |
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 | 100.00 | 80 | 89 | 85 | 66 | 82 | 78 | 69 | 80 | 78 | 80 | 75 | 62 | 63 | 84 | 75 | 84 | 28 | 4,000,000$/1yrs |
![]() | 0 | 100.00 | 70 | 71 | 69 | 75 | 71 | 68 | 69 | 70 | 73 | 70 | 75 | 55 | 56 | 79 | 75 | 76 | 31 | 450,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 50 | 50 | 65 | 65 | 52 | 69 | 60 | 65 | 59 | 78 | 50 | 50 | 71 | 75 | 66 | 28 | 900,000$/3yrs |
TEAM AVERAGE | 100.00 | 70 | 70 | 68 | 69 | 73 | 66 | 69 | 70 | 72 | 70 | 76 | 56 | 56 | 78 | 75 | 75 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 11 | 7 | 11 | 18 | 8 | 0 | 0 | 4 | 48 | 10 | 28 | 14.58% | 1 | 22.94 | 1 | 4 | 5 | 0 | 0 | 0 | 28 | 1 | 0 | 52.34% | 342 | 0 | 0 | 0 | 0 | 1.43 | 1 | 1 |
2 | Pavel Zacha | ![]() | 0 | C/LW | 11 | 6 | 10 | 16 | 9 | 2 | 0 | 16 | 31 | 14 | 16 | 19.35% | 2 | 20.43 | 1 | 1 | 2 | 0 | 0 | 0 | 14 | 0 | 0 | 60.00% | 75 | 0 | 0 | 0 | 0 | 1.42 | 0 | 1 |
3 | Ryan Hartman | ![]() | 0 | C/RW | 11 | 7 | 9 | 16 | 9 | 6 | 0 | 40 | 36 | 9 | 20 | 19.44% | 2 | 19.70 | 3 | 2 | 5 | 0 | 0 | 0 | 0 | 3 | 1 | 71.43% | 14 | 0 | 0 | 0 | 0 | 1.48 | 0 | 1 |
4 | Charlie McAvoy | ![]() | 0 | D | 11 | 2 | 9 | 11 | 5 | 13 | 5 | 31 | 22 | 9 | 17 | 9.09% | 14 | 23.84 | 1 | 3 | 4 | 0 | 0 | 0 | 22 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
5 | Fabian Zetterlund | ![]() | 0 | LW | 11 | 6 | 4 | 10 | 0 | 4 | 0 | 29 | 42 | 10 | 24 | 14.29% | 2 | 19.90 | 2 | 1 | 3 | 0 | 0 | 0 | 26 | 2 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 |
6 | Kaiden Guhle | ![]() | 0 | D | 11 | 2 | 5 | 7 | 11 | 12 | 0 | 12 | 17 | 5 | 18 | 11.76% | 16 | 21.72 | 0 | 1 | 1 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 |
7 | Chandler Stephenson | ![]() | 0 | C/LW | 11 | 2 | 5 | 7 | 1 | 0 | 0 | 8 | 25 | 7 | 25 | 8.00% | 1 | 15.42 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 67.05% | 173 | 0 | 0 | 0 | 0 | 0.83 | 1 | 1 |
8 | Jacob Trouba | ![]() | 0 | D | 11 | 0 | 6 | 6 | 11 | 15 | 5 | 34 | 13 | 5 | 9 | 0.00% | 14 | 21.50 | 0 | 3 | 3 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
9 | Oliver Bjorkstrand | ![]() | 28 | RW | 11 | 2 | 4 | 6 | 1 | 2 | 0 | 13 | 29 | 3 | 16 | 6.90% | 1 | 18.27 | 0 | 2 | 2 | 0 | 0 | 0 | 6 | 0 | 0 | 28.57% | 21 | 0 | 0 | 0 | 0 | 0.60 | 1 | 1 |
10 | Torey Krug | ![]() | 0 | D | 11 | 1 | 3 | 4 | 6 | 2 | 0 | 11 | 16 | 8 | 12 | 6.25% | 20 | 24.15 | 1 | 1 | 2 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 |
11 | Jonatan Berggren | ![]() | 0 | LW/RW | 11 | 3 | 1 | 4 | 2 | 2 | 0 | 1 | 16 | 4 | 9 | 18.75% | 1 | 10.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 27.27% | 11 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
12 | James van Riemsdyk | ![]() | 25 | LW | 9 | 0 | 3 | 3 | 3 | 0 | 0 | 4 | 19 | 8 | 18 | 0.00% | 1 | 14.90 | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 |
13 | Alexander Wennberg | ![]() | 0 | C | 11 | 1 | 2 | 3 | 1 | 0 | 0 | 2 | 15 | 3 | 8 | 6.67% | 1 | 7.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 52.48% | 101 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 |
14 | Michael Rasmussen | ![]() | 0 | C | 11 | 2 | 1 | 3 | 3 | 2 | 0 | 18 | 23 | 2 | 7 | 8.70% | 0 | 11.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.64% | 149 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 |
15 | Brandon Tanev | ![]() | 0 | LW/RW | 11 | 1 | 1 | 2 | 1 | 6 | 0 | 11 | 17 | 5 | 11 | 5.88% | 0 | 8.37 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 |
16 | Carson Soucy | ![]() | 0 | D | 11 | 0 | 2 | 2 | -3 | 2 | 0 | 12 | 4 | 3 | 4 | 0.00% | 9 | 14.14 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 |
17 | Philip Broberg | ![]() | 0 | D | 5 | 0 | 1 | 1 | 3 | 2 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 14.72 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 |
18 | Zachary Bolduc | ![]() | 0 | C | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 6 | 2 | 0 | 16.67% | 0 | 7.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.32% | 19 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 |
19 | Bobby Brink | ![]() | 0 | RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.00% | 0 | 7.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
20 | Derek Forbort | ![]() | 24 | D | 6 | 0 | 0 | 0 | -6 | 0 | 0 | 6 | 6 | 2 | 2 | 0.00% | 6 | 15.50 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
21 | Alexei Toropchenko | ![]() | 0 | RW | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 6 | 1 | 3 | 0.00% | 0 | 7.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 194 | 43 | 77 | 120 | 65 | 72 | 10 | 256 | 392 | 110 | 250 | 10.97% | 91 | 16.65 | 10 | 19 | 29 | 376 | 0 | 0 | 0 | 193 | 8 | 4 | 53.06% | 948 | 0 | 0 | 0 | 0 | 0.74 | 3 | 5 |
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 | ![]() | 10 | 9 | 0 | 1 | 0.931 | 1.88 | 605 | 0 | 2 | 19 | 276 | 0 | 0 | 0 | 0.600 | 5 | 10 | 1 | 1 | 1 | 0 |
2 | Alex Lyon | ![]() | 1 | 0 | 1 | 0 | 0.821 | 5.00 | 60 | 0 | 0 | 5 | 28 | 0 | 0 | 0 | 0.000 | 0 | 1 | 10 | 0 | 0 | 0 |
Team Total or Average | 11 | 9 | 1 | 1 | 0.921 | 2.17 | 665 | 0 | 2 | 24 | 304 | 0 | 0 | 0 | 0.600 | 5 | 11 | 11 | 1 | 1 | 0 |
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 | ![]() | 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 | 1 | 0 | 3 | 0 | 22.0 | 9 | 4 | 9 | 0 | 35.0 | 5.0 | 13.00 | 29.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 23.00 | 15.00 | 23.00 | 7.00 | 13.00 | 6.00 | 60.0% | 18.2% | 94.3% | 112.5 | LUCKY |
2 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 5.5 | 9.0 | 0 | 0 | 3 | 0 | 3 | 3 | 46.0 | 27 | 21 | 38 | 11 | 30.5 | 7.0 | 3.00 | 24.5 | 3.00 | 1.00 | 33.33% | 1.50 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 29.00 | 21.00 | 21.00 | 6.50 | 12.50 | 6.50 | 41.7% | 7.6% | 88.5% | 96.1 | Unlucky |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 0.50 | 4.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 1 | 4 | 3 | 3 | 0 | 40.0 | 20 | 24 | 36 | 0 | 20.0 | 6.5 | 3.00 | 24.0 | 5.50 | 1.00 | 18.18% | 1.50 | 0.50 | 66.67% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 27.00 | 19.50 | 19.50 | 6.50 | 12.50 | 7.00 | 100.0% | 12.5% | 97.5% | 110.0 | LUCKY |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 0 | 2 | 3 | 0 | 33.5 | 22 | 18 | 27 | 0 | 28.5 | 16.0 | 11.50 | 20.0 | 5.00 | 0.50 | 10.00% | 4.50 | 1.00 | 77.78% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 26.00 | 18.00 | 21.50 | 7.00 | 12.00 | 6.00 | 44.4% | 7.5% | 87.7% | 95.2 | Unlucky |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 1.50 | 3.00 | 4 | 1.000 | 4.5 | 8.0 | 12.5 | 0 | 1 | 5 | 0 | 4 | 0 | 33.5 | 29 | 16 | 22 | 0 | 24.0 | 6.5 | 7.00 | 18.0 | 4.00 | 1.00 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 24.50 | 17.50 | 22.50 | 7.00 | 12.50 | 6.00 | 70.0% | 13.4% | 93.8% | 107.2 | LUCKY |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.0 | 11.5 | 0 | 0 | 3 | 2 | 4 | 0 | 32.0 | 25 | 19 | 20 | 0 | 31.5 | 7.0 | 5.00 | 28.0 | 3.50 | 1.00 | 28.57% | 2.50 | 0.50 | 80.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 23.50 | 16.50 | 23.50 | 6.50 | 12.00 | 6.50 | 70.0% | 14.1% | 93.7% | 107.7 | LUCKY |
_Vs Division | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Vs Conference | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Since Last GM Reset | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
Total | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 417 |
Neutral Zone Start | 161 |
Defensive Zone Start | 363 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 503 |
Faceoffs Lost | 438 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 36.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 1 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 46 |
---|---|
PP Goal | 10 |
PK Attempt | 29 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 35.6 |
Shots Against | 27.6 |
Goals For | 4.0 |
Goals Against | 2.2 |
Hits | 23.5 |
Shots Blocked | 8.3 |
Pim | 6.5 |
![]() | |
Total Salaries | 73,499,167$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 237,500$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 58 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 19 |
LTIR Players | 0 |
Rock Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | G | 31 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Alexander Wennberg | C | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||||
Alexei Toropchenko | RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Bobby Brink | RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Brandon Tanev | LW/RW | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Brayden Point | C | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Carson Soucy | D | 29 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
Chandler Stephenson | C/LW | 30 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Charlie McAvoy | D | 26 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Derek Forbort | D | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Eric Comrie | G | 28 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Fabian Zetterlund | LW | 24 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | RFA | |||||
Ilya Sorokin | G | 28 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jacob Trouba | D | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
James van Riemsdyk | LW | 35 | 750,000$ | 750,000$ | 750,000$ | UFA | ||||||
Jonatan Berggren | LW/RW | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Kaiden Guhle | D | 22 | 863,334$ | 863,334$ | 863,334$ | 863,334$ | RFA | |||||
Michael Rasmussen | C | 25 | 1,460,000$ | 1,460,000$ | 1,460,000$ | RFA | ||||||
Oliver Bjorkstrand | RW | 29 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Pavel Zacha | C/LW | 27 | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | UFA | ||||
Philip Broberg | D | 23 | 863,333$ | 863,333$ | 863,333$ | RFA | ||||||
Ryan Hartman | C/RW | 29 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | ||||||
Torey Krug | D | 33 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Travis Hamonic | D | 33 | 550,000$ | 550,000$ | 550,000$ | UFA | ||||||
Zachary Bolduc | C | 21 | 875,000$ | 875,000$ | 875,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ginning | D | 24 | 883,750$ | 88,375$ | 88,375$ | RFA | ||||||
Cade Webber | D | 23 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Cameron Berg | C | 22 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Carl Lindbom | G | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
David Gustafsson | C | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
David Spacek | D | 21 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Dylan Garand | G | 22 | 828,333$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Emil Heineman | LW/RW | 22 | 897,500$ | 89,750$ | 89,750$ | 89,750$ | RFA | |||||
Hugh McGing | C/LW | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Ilya Fedotov | LW | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Jack St. Ivany | D | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jani Nyman | RW | 19 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Joakim Kemell | RW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Jordan Dumais | RW | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Juuso Parssinen | C/LW | 23 | 850,833$ | 85,083$ | 85,083$ | RFA | ||||||
Kyle Capobianco | D | 26 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Landon Slaggert | C/LW | 22 | 912,500$ | 91,250$ | 91,250$ | 91,250$ | RFA | |||||
Linus Karlsson | C/RW | 24 | 883,750$ | 88,375$ | 88,375$ | RFA | ||||||
Louis Domingue | G | 32 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | |||||
Lucas Edmonds | LW/RW | 23 | 861,667$ | 86,167$ | 86,167$ | 86,167$ | RFA | |||||
Marcus Davidsson | C/LW/RW | 25 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA | |||||
Mark Friedman | D | 28 | 775,000$ | 77,500$ | 77,500$ | UFA | ||||||
Mason Langenbrunner | D | 21 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Matias Rajaniemi | D | 21 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Nikita Nesterenko | C/LW | 22 | 925,000$ | 92,500$ | 92,500$ | RFA | ||||||
Nikita Okhotyuk | D | 23 | 789,167$ | 78,917$ | 78,917$ | RFA | ||||||
Philipp Grubauer | G | 32 | 1,500,000$ | 150,000$ | 150,000$ | UFA | ||||||
Ryan Greene | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Sean Behrens | D | 21 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Shai Buium | D | 21 | 725,000$ | 72,500$ | 72,500$ | RFA | ||||||
Taylor Hall | LW | 32 | 3,000,000$ | 300,000$ | 300,000$ | 300,000$ | 300,000$ | UFA | ||||
Victor Stjernborg | C/LW | 21 | 550,000$ | 55,000$ | 55,000$ | RFA | ||||||
Vitali Kravtsov | LW/RW | 24 | 475,000$ | 47,500$ | 47,500$ | 47,500$ | RFA |
Forward Lines | |||||||
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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 | ![]() | 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 | 1 | 0 | 3 | 0 | 22.0 | 9 | 4 | 9 | 0 | 35.0 | 5.0 | 13.00 | 29.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 23.00 | 15.00 | 23.00 | 7.00 | 13.00 | 6.00 | 60.0% | 18.2% | 94.3% | 112.5 | LUCKY |
2 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3.50 | 3.50 | 0.00 | 3 | 0.750 | 3.5 | 5.5 | 9.0 | 0 | 0 | 3 | 0 | 3 | 3 | 46.0 | 27 | 21 | 38 | 11 | 30.5 | 7.0 | 3.00 | 24.5 | 3.00 | 1.00 | 33.33% | 1.50 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 29.00 | 21.00 | 21.00 | 6.50 | 12.50 | 6.50 | 41.7% | 7.6% | 88.5% | 96.1 | Unlucky |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 0.50 | 4.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 1 | 4 | 3 | 3 | 0 | 40.0 | 20 | 24 | 36 | 0 | 20.0 | 6.5 | 3.00 | 24.0 | 5.50 | 1.00 | 18.18% | 1.50 | 0.50 | 66.67% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 27.00 | 19.50 | 19.50 | 6.50 | 12.50 | 7.00 | 100.0% | 12.5% | 97.5% | 110.0 | LUCKY |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 0 | 2 | 3 | 0 | 33.5 | 22 | 18 | 27 | 0 | 28.5 | 16.0 | 11.50 | 20.0 | 5.00 | 0.50 | 10.00% | 4.50 | 1.00 | 77.78% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 26.00 | 18.00 | 21.50 | 7.00 | 12.00 | 6.00 | 44.4% | 7.5% | 87.7% | 95.2 | Unlucky |
5 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 1.50 | 3.00 | 4 | 1.000 | 4.5 | 8.0 | 12.5 | 0 | 1 | 5 | 0 | 4 | 0 | 33.5 | 29 | 16 | 22 | 0 | 24.0 | 6.5 | 7.00 | 18.0 | 4.00 | 1.00 | 25.00% | 3.50 | 0.00 | 100.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 24.50 | 17.50 | 22.50 | 7.00 | 12.50 | 6.00 | 70.0% | 13.4% | 93.8% | 107.2 | LUCKY |
6 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 2.00 | 2.50 | 4 | 1.000 | 4.5 | 7.0 | 11.5 | 0 | 0 | 3 | 2 | 4 | 0 | 32.0 | 25 | 19 | 20 | 0 | 31.5 | 7.0 | 5.00 | 28.0 | 3.50 | 1.00 | 28.57% | 2.50 | 0.50 | 80.00% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 23.50 | 16.50 | 23.50 | 6.50 | 12.00 | 6.50 | 70.0% | 14.1% | 93.7% | 107.7 | LUCKY |
_Vs Division | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Vs Conference | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
_Since Last GM Reset | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY | |
Total | 11 | 8 | 1 | 0 | 0 | 1 | 1 | 0 | 4.00 | 2.18 | 1.82 | 19 | 0.864 | 4.0 | 7.0 | 11.0 | 0 | 2 | 16 | 7 | 20 | 3 | 35.6 | 132 | 102 | 152 | 11 | 27.6 | 8.3 | 6.55 | 23.5 | 4.18 | 0.91 | 21.74% | 2.64 | 0.36 | 86.21% | 0 | 226 | 417 | 54.20% | 194 | 363 | 53.44% | 83 | 161 | 51.55% | 25.91 | 18.45 | 22.00 | 7.00 | 12.55 | 6.45 | 63.0% | 11.2% | 92.1% | 103.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 417 |
Neutral Zone Start | 161 |
Defensive Zone Start | 363 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 503 |
Faceoffs Lost | 438 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 21.3 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 36.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.1 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.2 | 2.83 |
Even Strenght Goal | 34 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 1 | 0 |
Overtime Lost | 1 | 0 |
PP Attempt | 46 |
---|---|
PP Goal | 10 |
PK Attempt | 29 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 35.6 |
Shots Against | 27.6 |
Goals For | 4.0 |
Goals Against | 2.2 |
Hits | 23.5 |
Shots Blocked | 8.3 |
Pim | 6.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | ![]() | @ | ![]() | BRA0,ROC4 | RECAP | |||||||||
3 | ![]() | @ | ![]() | ROC3,THU2 (SO) | RECAP | |||||||||
8 | ![]() | @ | ![]() | HIT2,ROC4 | RECAP | |||||||||
10 | ![]() | @ | ![]() | ROC3,KNI2 | RECAP | |||||||||
13 | ![]() | @ | ![]() | KNI5,ROC2 | RECAP | |||||||||
17 | ![]() | @ | ![]() | GRI3,ROC6 | RECAP | |||||||||
19 | ![]() | @ | ![]() | ROC3,GRI0 | RECAP | |||||||||
22 | ![]() | @ | ![]() | FRE2,ROC4 | RECAP | |||||||||
23 | ![]() | @ | ![]() | ROC5,HIT2 | RECAP | |||||||||
25 | ![]() | @ | ![]() | ROC6,BRA1 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
28 | ![]() | @ | ![]() | THU5,ROC4 (OT) | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,261,667$ | 237,500$ | 0$ | 83,500,000$ |
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,261,667$ | 73,261,667$ | 0$ | 237,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 64,805,128$ | 64,805,128$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Benjamin Rautiainen | ![]() | 2024 | 193 | 0 | |
David Edstrom | ![]() | 2023 | 24 | - | Link |
Emil Hemming | ![]() | 2024 | 24 | 0 | |
Emil Pieniniemi | ![]() | 2023 | 80 | - | Link |
Eriks Mateiko | ![]() | 2024 | 81 | 0 | |
Jack Berglund | ![]() | 2024 | 53 | 0 | |
Jesse Nurmi | ![]() | 2023 | 108 | - | Link |
Jesse Pulkkinen | ![]() | 2024 | 70 | 0 | |
Kristian Epperson | ![]() | 2024 | 109 | 0 | |
Niklas Nykyri | ![]() | 2024 | 187 | 0 | |
Oscar Fisker Molgaard | ![]() | 2023 | 52 | - | Link |
Petteri Rimpinen | ![]() | 2024 | 136 | 0 | |
Timur Kol | ![]() | 2024 | 165 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Benjamin Rautiainen | ![]() | 2024 | 193 | 0 | |
David Edstrom | ![]() | 2023 | 24 | - | Link |
Emil Hemming | ![]() | 2024 | 24 | 0 | |
Emil Pieniniemi | ![]() | 2023 | 80 | - | Link |
Eriks Mateiko | ![]() | 2024 | 81 | 0 | |
Jack Berglund | ![]() | 2024 | 53 | 0 | |
Jesse Nurmi | ![]() | 2023 | 108 | - | Link |
Jesse Pulkkinen | ![]() | 2024 | 70 | 0 | |
Kristian Epperson | ![]() | 2024 | 109 | 0 | |
Niklas Nykyri | ![]() | 2024 | 187 | 0 | |
Oscar Fisker Molgaard | ![]() | 2023 | 52 | - | Link |
Petteri Rimpinen | ![]() | 2024 | 136 | 0 | |
Timur Kol | ![]() | 2024 | 165 | 0 |
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