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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Vancouver Stompers 29-15-5, 63pts · 4th 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 | 40 | 44 | 74 | 30 | 76 | 93 | 82 | 69 | 37 | 70 | 82 | 75 | 18 | 54 | 47 | 83 | 75 | 82 | 27 | 4,750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 31 | 40 | 80 | 34 | 80 | 91 | 94 | 68 | 88 | 75 | 77 | 84 | 61 | 79 | 81 | 79 | 75 | 81 | 31 | 8,250,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 53 | 60 | 64 | 33 | 75 | 85 | 86 | 69 | 67 | 66 | 82 | 74 | 46 | 60 | 50 | 80 | 75 | 79 | 26 | 2,550,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 42 | 44 | 71 | 35 | 66 | 87 | 95 | 68 | 56 | 77 | 77 | 61 | 42 | 53 | 48 | 78 | 75 | 76 | 25 | 5,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 32 | 40 | 74 | 42 | 78 | 86 | 64 | 71 | 44 | 76 | 75 | 84 | 44 | 68 | 66 | 73 | 75 | 76 | 31 | 4,000,000$/1yrs | |||
![]() | 10 | C/RW | 100.00 | 66 | 40 | 75 | 44 | 77 | 83 | 95 | 67 | 86 | 74 | 75 | 80 | 61 | 67 | 57 | 73 | 75 | 75 | 28 | 2,857,143$/5yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 47 | 81 | 44 | 74 | 73 | 85 | 68 | 71 | 64 | 76 | 85 | 18 | 61 | 55 | 73 | 75 | 75 | 27 | 800,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 39 | 40 | 74 | 39 | 76 | 83 | 94 | 74 | 62 | 77 | 77 | 75 | 54 | 47 | 41 | 74 | 75 | 75 | 23 | 863,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 62 | 74 | 81 | 39 | 94 | 70 | 80 | 70 | 63 | 76 | 79 | 82 | 80 | 92 | 74 | 73 | 75 | 74 | 37 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 52 | 48 | 74 | 45 | 81 | 78 | 62 | 68 | 25 | 64 | 77 | 75 | 46 | 83 | 98 | 73 | 75 | 74 | 36 | 2,800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 47 | 80 | 49 | 78 | 76 | 75 | 63 | 58 | 60 | 75 | 75 | 18 | 63 | 53 | 73 | 75 | 74 | 26 | 2,000,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 91 | 68 | 76 | 42 | 82 | 73 | 87 | 71 | 69 | 71 | 78 | 76 | 18 | 44 | 41 | 73 | 75 | 74 | 24 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 40 | 44 | 70 | 43 | 77 | 85 | 91 | 77 | 25 | 87 | 70 | 85 | 18 | 79 | 94 | 80 | 75 | 82 | 38 | 10,000,000$/1yrs | |||
![]() | 2 | D | 100.00 | 51 | 40 | 73 | 46 | 81 | 88 | 82 | 74 | 25 | 81 | 70 | 79 | 76 | 75 | 73 | 75 | 75 | 78 | 34 | 9,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 44 | 55 | 72 | 49 | 87 | 82 | 74 | 71 | 25 | 80 | 71 | 83 | 18 | 60 | 54 | 72 | 75 | 77 | 29 | 2,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 35 | 40 | 80 | 43 | 71 | 78 | 88 | 77 | 25 | 84 | 73 | 72 | 46 | 44 | 40 | 79 | 75 | 76 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 41 | 45 | 76 | 46 | 73 | 81 | 80 | 72 | 25 | 81 | 71 | 76 | 18 | 41 | 39 | 76 | 75 | 76 | 24 | 2,400,000$/2yrs | |||
![]() | 8 | D | 100.00 | 33 | 40 | 77 | 46 | 76 | 87 | 91 | 73 | 25 | 81 | 71 | 70 | 76 | 88 | 64 | 75 | 75 | 74 | 31 | 7,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 64 | C/LW/RW | 100.00 | 53 | 40 | 80 | 36 | 62 | 74 | 69 | 66 | 99 | 76 | 77 | 65 | 38 | 69 | 63 | 77 | 75 | 74 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 34 | 40 | 79 | 43 | 68 | 83 | 98 | 78 | 25 | 88 | 71 | 62 | 18 | 36 | 35 | 79 | 75 | 73 | 20 | 875,000$/2yrs | |||
![]() | 5 | D | 100.00 | 64 | 97 | 71 | 49 | 86 | 80 | 95 | 69 | 25 | 79 | 72 | 72 | 18 | 80 | 66 | 71 | 75 | 72 | 31 | 1,950,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 50 | 49 | 75 | 42 | 77 | 82 | 84 | 71 | 49 | 76 | 75 | 76 | 40 | 64 | 59 | 76 | 75 | 76 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 91 | 90 | 98 | 81 | 92 | 92 | 91 | 91 | 93 | 93 | 79 | 46 | 41 | 83 | 75 | 87 | 26 | 1,050,000$/1yrs |
![]() | 0 | 100.00 | 91 | 99 | 68 | 86 | 91 | 98 | 91 | 92 | 91 | 91 | 84 | 99 | 64 | 80 | 75 | 77 | 34 | 6,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 95 | 83 | 84 | 92 | 95 | 91 | 92 | 92 | 92 | 82 | 73 | 53 | 82 | 75 | 82 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 81 | 90 | 86 | 84 | 74 | 69 | 76 | CAN | 51 | 2 | 0$ |
General Manager | League (D'Ambrosio) |
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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 | Ryan O'Reilly | ![]() | 0 | C | 49 | 16 | 27 | 43 | 1 | 6 | 0 | 28 | 146 | 51 | 124 | 10.96% | 43 | 21.09 | 3 | 15 | 18 | 2 | 1 | 3 | 234 | 4 | 0 | 61.39% | 764 | 20 | 15 | 1 | 0 | 0.83 | 0 | 1 |
2 | Martin Necas | ![]() | 0 | C/RW | 49 | 11 | 24 | 35 | 3 | 32 | 0 | 36 | 137 | 68 | 85 | 8.03% | 18 | 15.07 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 0 | 2 | 45.24% | 42 | 33 | 5 | 0 | 0 | 0.95 | 0 | 0 |
3 | Travis Konecny | ![]() | 0 | LW/RW | 49 | 11 | 21 | 32 | 0 | 27 | 5 | 76 | 134 | 44 | 102 | 8.21% | 6 | 17.45 | 5 | 8 | 13 | 0 | 0 | 0 | 46 | 0 | 0 | 41.30% | 46 | 40 | 1 | 0 | 0 | 0.75 | 0 | 0 |
4 | Sam Bennett | ![]() | 0 | C/LW | 49 | 14 | 14 | 28 | 5 | 84 | 30 | 113 | 96 | 34 | 43 | 14.58% | 19 | 17.67 | 3 | 6 | 9 | 0 | 0 | 0 | 51 | 4 | 2 | 51.43% | 488 | 21 | 8 | 0 | 0 | 0.65 | 0 | 1 |
5 | Jakob Silfverberg | ![]() | 0 | LW/RW | 49 | 8 | 19 | 27 | -12 | 14 | 0 | 19 | 134 | 47 | 100 | 5.97% | 16 | 14.25 | 2 | 8 | 10 | 0 | 0 | 0 | 11 | 1 | 0 | 48.15% | 27 | 37 | 6 | 0 | 0 | 0.77 | 1 | 1 |
6 | Tyler Bertuzzi | ![]() | 0 | LW | 49 | 13 | 12 | 25 | -1 | 27 | 5 | 63 | 98 | 26 | 62 | 13.27% | 21 | 21.29 | 3 | 3 | 6 | 0 | 2 | 2 | 224 | 2 | 1 | 33.97% | 365 | 19 | 11 | 0 | 0 | 0.48 | 0 | 1 |
7 | Mark Giordano | ![]() | 0 | D | 37 | 4 | 20 | 24 | -10 | 16 | 0 | 45 | 75 | 26 | 30 | 5.33% | 71 | 24.17 | 3 | 8 | 11 | 0 | 1 | 1 | 136 | 2 | 0 | 0.00% | 0 | 11 | 14 | 0 | 0 | 0.54 | 0 | 0 |
8 | Nathan Bastian | ![]() | 0 | C/RW | 47 | 10 | 12 | 22 | 7 | 40 | 10 | 104 | 100 | 30 | 63 | 10.00% | 9 | 11.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 54.55% | 33 | 23 | 3 | 0 | 0 | 0.84 | 0 | 0 |
9 | Colton Sissons | ![]() | 10 | C/RW | 37 | 10 | 10 | 20 | 8 | 8 | 0 | 62 | 81 | 16 | 51 | 12.35% | 11 | 13.45 | 1 | 2 | 3 | 0 | 0 | 0 | 3 | 2 | 0 | 58.25% | 309 | 11 | 5 | 0 | 0 | 0.80 | 0 | 0 |
10 | Oliver Kylington | ![]() | 0 | D | 49 | 7 | 12 | 19 | -5 | 10 | 0 | 24 | 61 | 23 | 34 | 11.48% | 50 | 17.90 | 2 | 1 | 3 | 1 | 0 | 1 | 27 | 1 | 1 | 0.00% | 0 | 20 | 20 | 0 | 0 | 0.43 | 0 | 0 |
11 | Brian Boyle | ![]() | 0 | C/LW | 49 | 8 | 10 | 18 | 5 | 58 | 40 | 48 | 73 | 29 | 52 | 10.96% | 14 | 9.46 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 2 | 0 | 53.11% | 273 | 11 | 5 | 0 | 0 | 0.78 | 0 | 0 |
12 | Scott Mayfield | ![]() | 0 | D | 39 | 1 | 15 | 16 | 3 | 52 | 20 | 52 | 57 | 22 | 21 | 1.75% | 64 | 20.58 | 1 | 2 | 3 | 0 | 1 | 1 | 87 | 0 | 0 | 0.00% | 0 | 11 | 24 | 0 | 0 | 0.40 | 0 | 0 |
13 | Andrew Ladd | ![]() | 0 | LW | 35 | 4 | 11 | 15 | 9 | 6 | 0 | 24 | 56 | 26 | 42 | 7.14% | 4 | 11.16 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 41.03% | 39 | 13 | 4 | 0 | 0 | 0.77 | 0 | 0 |
14 | Nick Leddy | ![]() | 8 | D | 46 | 2 | 11 | 13 | 17 | 14 | 0 | 14 | 35 | 21 | 17 | 5.71% | 45 | 16.38 | 0 | 0 | 0 | 0 | 0 | 0 | 68 | 1 | 0 | 0.00% | 0 | 18 | 4 | 0 | 0 | 0.35 | 0 | 0 |
15 | Jeff Petry | ![]() | 2 | D | 40 | 1 | 11 | 12 | -7 | 30 | 0 | 63 | 47 | 28 | 25 | 2.13% | 53 | 23.53 | 0 | 2 | 2 | 0 | 0 | 0 | 142 | 0 | 0 | 0.00% | 0 | 9 | 13 | 0 | 0 | 0.25 | 0 | 0 |
16 | Curtis Lazar | ![]() | 0 | C/RW | 49 | 5 | 3 | 8 | -5 | 17 | 5 | 123 | 58 | 23 | 47 | 8.62% | 25 | 11.93 | 2 | 0 | 2 | 0 | 0 | 0 | 37 | 1 | 0 | 40.00% | 50 | 12 | 11 | 0 | 0 | 0.27 | 0 | 0 |
17 | Dante Fabbro | ![]() | 0 | D | 49 | 3 | 5 | 8 | -3 | 28 | 0 | 48 | 52 | 19 | 15 | 5.77% | 58 | 21.37 | 3 | 1 | 4 | 0 | 0 | 0 | 116 | 0 | 0 | 0.00% | 0 | 15 | 20 | 0 | 0 | 0.15 | 0 | 0 |
18 | Tyler Ennis | ![]() | 64 | C/LW/RW | 40 | 3 | 1 | 4 | -4 | 4 | 0 | 38 | 25 | 12 | 16 | 12.00% | 6 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 56.38% | 188 | 8 | 4 | 0 | 0 | 0.17 | 0 | 1 |
19 | Jason Dickinson | ![]() | 0 | C/LW | 49 | 2 | 1 | 3 | 7 | 14 | 0 | 55 | 31 | 9 | 11 | 6.45% | 8 | 10.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 21 | 6 | 2 | 0 | 0 | 0.12 | 0 | 0 |
20 | Brenden Dillon | ![]() | 5 | D | 17 | 1 | 0 | 1 | 8 | 49 | 25 | 36 | 22 | 6 | 4 | 4.55% | 12 | 20.51 | 1 | 0 | 1 | 0 | 0 | 0 | 44 | 1 | 0 | 0.00% | 0 | 2 | 4 | 0 | 0 | 0.06 | 0 | 0 |
21 | Jamie Drysdale | ![]() | 0 | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 10 | 1 | 7 | 0.00% | 3 | 23.23 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 881 | 134 | 239 | 373 | 24 | 536 | 140 | 1072 | 1528 | 561 | 951 | 8.77% | 556 | 16.37 | 32 | 59 | 91 | 1358 | 3 | 5 | 8 | 1274 | 28 | 7 | 52.51% | 2645 | 342 | 179 | 1 | 0 | 0.52 | 1 | 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 | Thatcher Demko | ![]() | 45 | 26 | 14 | 4 | 0.916 | 2.53 | 2660 | 2 | 2 | 112 | 1338 | 705 | 0 | 0 | 1.000 | 4 | 44 | 5 | 9 | 1 | 1 |
2 | Carey Price | ![]() | 7 | 3 | 1 | 1 | 0.905 | 3.17 | 303 | 2 | 0 | 16 | 169 | 89 | 1 | 0 | 0.000 | 0 | 5 | 41 | 1 | 0 | 0 |
Team Total or Average | 52 | 29 | 15 | 5 | 0.915 | 2.59 | 2963 | 4 | 2 | 128 | 1507 | 794 | 1 | 0 | 1.000 | 4 | 49 | 46 | 10 | 1 | 1 |
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 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.33 | 2.67 | 6 | 1.000 | 5.0 | 8.7 | 13.7 | 0 | 0 | 5 | 4 | 6 | 0 | 32.7 | 33 | 29 | 36 | 0 | 36.3 | 12.7 | 12.00 | 18.0 | 3.33 | 1.67 | 50.00% | 4.33 | 0.67 | 84.62% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.33 | 13.33 | 23.33 | 8.00 | 15.00 | 7.33 | 66.7% | 15.3% | 93.6% | 108.9 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.00 | 0.00 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 1 | 2 | 0 | 25.5 | 18 | 15 | 18 | 0 | 26.5 | 19.0 | 12.00 | 17.5 | 3.00 | 0.50 | 16.67% | 6.00 | 1.00 | 83.33% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.50 | 12.50 | 22.50 | 8.50 | 15.50 | 7.50 | 60.0% | 7.8% | 92.5% | 100.3 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.00 | 5.00 | -5.00 | 0 | 0.000 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 32.0 | 4 | 6 | 22 | 0 | 30.0 | 12.0 | 11.00 | 19.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 23.00 | 9.00 | 15.00 | 7.00 | 0.0% | 0.0% | 83.3% | 83.3 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 2 | 1 | 0 | 23.5 | 9 | 20 | 18 | 0 | 32.0 | 10.0 | 19.00 | 20.0 | 3.00 | 0.50 | 16.67% | 7.00 | 1.50 | 78.57% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 14.50 | 22.50 | 8.00 | 14.50 | 7.00 | 28.6% | 6.4% | 87.5% | 93.9 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 30.0 | 11 | 7 | 12 | 0 | 33.0 | 11.0 | 6.00 | 16.0 | 7.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.00 | 14.00 | 21.00 | 8.00 | 15.00 | 7.00 | 100.0% | 6.7% | 97.0% | 103.6 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 1.0 | 2.0 | 0 | 0 | 1 | 0 | 0 | 0 | 36.0 | 18 | 5 | 13 | 0 | 26.0 | 11.0 | 2.00 | 32.0 | 6.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 30.00 | 20.00 | 15.00 | 6.00 | 14.00 | 8.00 | 25.0% | 2.8% | 88.5% | 91.2 | Unlucky |
7 | ![]() | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 4.75 | 2.75 | 2.00 | 8 | 1.000 | 4.8 | 8.5 | 13.3 | 0 | 0 | 3 | 6 | 8 | 2 | 31.8 | 43 | 39 | 39 | 6 | 33.0 | 14.0 | 12.25 | 20.5 | 3.75 | 1.50 | 40.00% | 4.25 | 0.75 | 82.35% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.25 | 13.75 | 23.75 | 8.75 | 15.75 | 7.50 | 61.9% | 15.0% | 91.7% | 106.6 | LUCKY |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 8.00 | -7.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 0 | 0 | 24.0 | 9 | 6 | 9 | 0 | 39.0 | 12.0 | 36.00 | 18.0 | 1.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 18.00 | 10.00 | 26.00 | 8.00 | 15.00 | 7.00 | 12.5% | 4.2% | 79.5% | 83.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.0 | 7 | 3 | 18 | 0 | 29.0 | 14.0 | 15.00 | 17.0 | 3.00 | 0.00 | 0.00% | 5.00 | 2.00 | 60.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 13.00 | 21.00 | 8.00 | 16.00 | 8.00 | 33.3% | 3.6% | 86.2% | 89.8 | Unlucky |
10 | ![]() | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2.33 | 1.67 | 0.67 | 5 | 0.833 | 2.3 | 4.0 | 6.3 | 0 | 1 | 4 | 0 | 3 | 0 | 35.3 | 42 | 34 | 29 | 1 | 27.7 | 12.3 | 8.00 | 21.7 | 3.67 | 0.67 | 18.18% | 2.33 | 0.33 | 85.71% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.33 | 17.00 | 19.33 | 7.67 | 15.67 | 8.00 | 55.6% | 6.6% | 94.0% | 100.6 | DULL |
11 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 1 | 1 | 31.5 | 23 | 22 | 16 | 2 | 33.0 | 11.5 | 11.50 | 20.5 | 7.50 | 0.00 | 0.00% | 4.50 | 1.00 | 77.78% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.50 | 16.00 | 20.50 | 8.00 | 14.50 | 7.50 | 50.0% | 7.9% | 89.4% | 97.3 | Unlucky |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 21.0 | 10 | 8 | 3 | 0 | 36.0 | 12.0 | 10.00 | 25.0 | 2.00 | 1.00 | 50.00% | 5.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 24.00 | 8.00 | 14.00 | 7.00 | 50.0% | 9.5% | 97.2% | 106.7 | LUCKY |
13 | ![]() | 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 | 0 | 1 | 0 | 40.0 | 16 | 9 | 15 | 0 | 29.0 | 15.0 | 15.00 | 31.0 | 1.00 | 1.00 | 100.00% | 5.00 | 1.00 | 80.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.00 | 15.00 | 20.00 | 7.00 | 15.00 | 7.00 | 33.3% | 5.0% | 89.7% | 94.7 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 40.0 | 13 | 19 | 8 | 0 | 28.0 | 8.0 | 4.00 | 18.0 | 4.00 | 1.00 | 25.00% | 2.00 | 1.00 | 50.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.00 | 15.00 | 20.00 | 8.00 | 15.00 | 8.00 | 66.7% | 7.5% | 92.9% | 100.4 | DULL |
15 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.50 | 0.50 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 4 | 2 | 0 | 0 | 32.5 | 18 | 24 | 23 | 0 | 29.0 | 10.5 | 17.00 | 24.5 | 3.00 | 1.00 | 33.33% | 3.50 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.50 | 15.00 | 18.50 | 7.50 | 16.50 | 8.50 | 44.4% | 9.2% | 91.4% | 100.6 | LUCKY |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10.00 | 3.00 | 7.00 | 2 | 1.000 | 10.0 | 17.0 | 27.0 | 0 | 0 | 3 | 1 | 6 | 0 | 41.0 | 14 | 11 | 16 | 0 | 34.0 | 13.0 | 4.00 | 21.0 | 4.00 | 4.00 | 100.00% | 2.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 15.00 | 21.00 | 7.00 | 15.00 | 8.00 | 66.7% | 24.4% | 91.2% | 115.6 | LUCKY |
17 | ![]() | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2.40 | 1.40 | 1.00 | 9 | 0.900 | 2.4 | 4.2 | 6.6 | 0 | 0 | 4 | 3 | 5 | 0 | 34.4 | 52 | 55 | 65 | 0 | 27.6 | 8.8 | 9.00 | 22.6 | 3.20 | 0.40 | 12.50% | 4.00 | 0.40 | 90.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.40 | 14.60 | 21.00 | 8.40 | 15.60 | 7.80 | 66.7% | 7.0% | 94.9% | 101.9 | DULL |
18 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 1 | 4 | 1 | 0 | 0 | 29.0 | 26 | 16 | 16 | 0 | 34.0 | 8.5 | 7.00 | 24.5 | 2.00 | 0.50 | 25.00% | 4.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.50 | 14.00 | 21.00 | 8.00 | 16.00 | 8.00 | 66.7% | 8.6% | 97.1% | 105.7 | DULL |
19 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.33 | 2.67 | -0.33 | 2 | 0.333 | 2.3 | 4.0 | 6.3 | 0 | 0 | 3 | 2 | 2 | 0 | 30.7 | 28 | 37 | 27 | 0 | 31.3 | 14.7 | 11.00 | 16.3 | 2.33 | 0.33 | 14.29% | 4.67 | 0.67 | 85.71% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 14.00 | 22.00 | 8.33 | 15.33 | 7.33 | 50.0% | 7.6% | 91.5% | 99.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 1 | 3 | 1 | 0 | 31.0 | 12 | 9 | 10 | 0 | 27.0 | 9.0 | 8.00 | 21.0 | 1.00 | 1.00 | 100.00% | 4.00 | 0.00 | 100.00% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 22.00 | 8.00 | 16.00 | 7.00 | 80.0% | 16.1% | 96.3% | 112.4 | LUCKY |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.67 | -0.67 | 2 | 0.333 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 3 | 2 | 0 | 33.3 | 36 | 40 | 24 | 0 | 26.3 | 6.0 | 3.33 | 26.7 | 4.67 | 0.33 | 7.14% | 1.67 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.33 | 16.33 | 19.00 | 7.67 | 15.33 | 8.00 | 38.5% | 6.0% | 89.9% | 95.9 | Unlucky |
22 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 4.50 | -2.00 | 1 | 0.250 | 2.5 | 4.0 | 6.5 | 0 | 0 | 1 | 4 | 0 | 0 | 26.0 | 11 | 25 | 14 | 2 | 33.0 | 12.5 | 12.00 | 19.5 | 3.50 | 0.50 | 14.29% | 6.00 | 1.00 | 83.33% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 24.50 | 9.00 | 15.50 | 7.00 | 36.4% | 9.6% | 86.4% | 96.0 | FUN |
23 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1.50 | 2.50 | -1.00 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 1 | 1 | 1 | 27.5 | 16 | 19 | 19 | 1 | 30.5 | 11.5 | 5.00 | 27.0 | 1.00 | 0.00 | 0.00% | 2.50 | 0.00 | 100.00% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.00 | 13.00 | 23.00 | 8.00 | 15.50 | 7.50 | 37.5% | 5.5% | 91.8% | 97.3 | DULL |
24 | ![]() | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 5.0 | 7.5 | 0 | 0 | 2 | 2 | 0 | 1 | 28.5 | 22 | 17 | 16 | 2 | 30.5 | 7.5 | 14.50 | 27.0 | 2.50 | 0.50 | 20.00% | 3.50 | 1.50 | 57.14% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.00 | 13.00 | 24.50 | 9.00 | 16.50 | 7.50 | 66.7% | 8.8% | 91.8% | 100.6 | DULL |
25 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3.00 | 3.00 | 0.00 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 0 | 3 | 2 | 1 | 33.0 | 11 | 16 | 37 | 6 | 32.0 | 10.5 | 18.00 | 25.0 | 4.00 | 0.00 | 0.00% | 4.00 | 1.50 | 62.50% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.00 | 15.50 | 21.00 | 8.50 | 16.50 | 8.50 | 66.7% | 9.1% | 90.6% | 99.7 | FUN |
_Vs Division | 15 | 5 | 6 | 0 | 2 | 1 | 1 | 0 | 2.93 | 2.67 | 0.27 | 17 | 0.567 | 2.9 | 5.2 | 8.1 | 0 | 0 | 9 | 15 | 17 | 3 | 31.7 | 152 | 156 | 160 | 12 | 30.1 | 12.8 | 11.13 | 21.8 | 3.40 | 0.67 | 19.61% | 4.07 | 0.73 | 81.97% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.33 | 14.60 | 21.87 | 8.40 | 15.73 | 7.80 | 54.0% | 9.2% | 91.1% | 100.4 | Unlucky | |
_Vs Conference | 32 | 15 | 9 | 0 | 4 | 3 | 1 | 0 | 2.84 | 2.41 | 0.44 | 43 | 0.672 | 2.8 | 5.0 | 7.9 | 0 | 1 | 25 | 27 | 34 | 5 | 32.3 | 334 | 330 | 357 | 16 | 30.2 | 11.8 | 10.13 | 21.7 | 3.38 | 0.63 | 18.52% | 3.81 | 0.56 | 85.25% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.19 | 14.63 | 21.72 | 8.38 | 15.63 | 7.81 | 54.6% | 8.8% | 92.0% | 100.8 | DULL | |
_Since Last GM Reset | 49 | 23 | 15 | 0 | 5 | 5 | 1 | 0 | 2.76 | 2.61 | 0.14 | 63 | 0.643 | 2.8 | 4.9 | 7.6 | 0 | 2 | 43 | 43 | 43 | 6 | 31.3 | 502 | 491 | 523 | 20 | 30.8 | 11.4 | 11.02 | 21.9 | 3.33 | 0.65 | 19.63% | 3.90 | 0.63 | 83.77% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.98 | 14.49 | 21.86 | 8.37 | 15.67 | 7.82 | 51.5% | 8.8% | 91.5% | 100.3 | DULL | |
Total | 49 | 23 | 15 | 0 | 5 | 5 | 1 | 0 | 2.76 | 2.61 | 0.14 | 63 | 0.643 | 2.8 | 4.9 | 7.6 | 0 | 2 | 43 | 43 | 43 | 6 | 31.3 | 502 | 491 | 523 | 20 | 30.8 | 11.4 | 11.02 | 21.9 | 3.33 | 0.65 | 19.63% | 3.90 | 0.63 | 83.77% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.98 | 14.49 | 21.86 | 8.37 | 15.67 | 7.82 | 51.5% | 8.8% | 91.5% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1015 |
Neutral Zone Start | 596 |
Defensive Zone Start | 1017 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1394 |
Faceoffs Lost | 1234 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 32 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 13 |
Lost | 6 | 9 |
Overtime Lost | 2 | 3 |
PP Attempt | 163 |
---|---|
PP Goal | 32 |
PK Attempt | 191 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 30.8 |
Goals For | 2.8 |
Goals Against | 2.6 |
Hits | 21.9 |
Shots Blocked | 11.4 |
Pim | 11.0 |
![]() | |
Total Salaries | 80,888,559$ |
Projected Total Cap Hit | 80,151,726$ |
Projected Cap Space | 1,348,274$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 43,980,677$ |
Players Signed (45 – 60) | 46 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 14 |
LTIR Players | 0 |
Stompers Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Ladd | LW | 36 | 2,800,000$ | 1,225,000$ | 2,800,000$ | UFA | ||||||
Brenden Dillon | D | 31 | 1,950,000$ | 853,125$ | 1,950,000$ | UFA | ||||||
Brian Boyle | C/LW | 37 | 1,000,000$ | 437,500$ | 1,000,000$ | UFA | ||||||
Carey Price | G | 34 | 6,000,000$ | 2,625,000$ | 6,000,000$ | UFA | ||||||
Colton Sissons | C/RW | 28 | 2,857,143$ | 1,250,000$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | 2,857,143$ | UFA | ||
Curtis Lazar | C/RW | 27 | 800,000$ | 350,000$ | 800,000$ | UFA | ||||||
Dante Fabbro | D | 24 | 2,400,000$ | 1,050,000$ | 2,400,000$ | 2,400,000$ | RFA | |||||
Jakob Silfverberg | LW/RW | 31 | 4,000,000$ | 1,750,000$ | 4,000,000$ | UFA | ||||||
Jamie Drysdale | D | 20 | 875,000$ | 382,812$ | 875,000$ | 875,000$ | RFA | |||||
Jason Dickinson | C/LW | 26 | 2,000,000$ | 875,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Jeff Petry | D | 34 | 9,000,000$ | 3,937,500$ | 9,000,000$ | UFA | ||||||
Mark Giordano | D | 38 | 10,000,000$ | 4,375,000$ | 10,000,000$ | UFA | ||||||
Martin Necas | C/RW | 23 | 863,333$ | 377,708$ | 863,333$ | RFA | ||||||
Nathan Bastian | C/RW | 24 | 825,000$ | 360,938$ | 825,000$ | 825,000$ | RFA | |||||
Nick Leddy | D | 31 | 7,500,000$ | 3,281,250$ | 7,500,000$ | UFA | ||||||
Oliver Kylington | D | 25 | 750,000$ | 328,125$ | 750,000$ | RFA | ||||||
Ryan O'Reilly | C | 31 | 8,250,000$ | 3,609,375$ | 8,250,000$ | UFA | ||||||
Sam Bennett | C/LW | 26 | 2,550,000$ | 1,115,625$ | 2,550,000$ | RFA | ||||||
Scott Mayfield | D | 29 | 2,250,000$ | 984,375$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||
Thatcher Demko | G | 26 | 1,050,000$ | 459,375$ | 1,050,000$ | RFA | ||||||
Travis Konecny | LW/RW | 25 | 5,500,000$ | 2,406,250$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||
Tyler Bertuzzi | LW | 27 | 4,750,000$ | 2,078,125$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Tyler Ennis | C/LW/RW | 32 | 750,000$ | 328,125$ | 750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk | C/LW | 28 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Alexander Campbell | C/LW | 21 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
Anton Johannesson | D | 20 | 550,000$ | 24,063$ | 55,000$ | 55,000$ | RFA | |||||
Blake Biondi | C | 20 | 500,000$ | 21,875$ | 50,000$ | 50,000$ | RFA | |||||
Brendan Lemieux | LW | 26 | 925,000$ | 40,469$ | 92,500$ | RFA | ||||||
Cale Fleury | D | 23 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Carter Savoie | LW | 20 | 725,000$ | 31,719$ | 72,500$ | 72,500$ | RFA | |||||
Colten Ellis | G | 21 | 850,833$ | 37,224$ | 85,083$ | 85,083$ | 85,083$ | RFA | ||||
Conor Timmins | D | 23 | 850,000$ | 37,188$ | 85,000$ | 85,000$ | RFA | |||||
Daniil Misyul | D | 21 | 450,000$ | 19,688$ | 45,000$ | RFA | ||||||
David Kase | C/LW/RW | 25 | 475,000$ | 20,781$ | 47,500$ | RFA | ||||||
Devon Levi | G | 20 | 625,000$ | 27,344$ | 62,500$ | 62,500$ | RFA | |||||
Ivan Chekhovich | LW | 23 | 776,667$ | 33,979$ | 77,667$ | RFA | ||||||
Jan Bednar | G | 19 | 625,000$ | 27,344$ | 62,500$ | 62,500$ | RFA | |||||
Markus Granlund | C/LW | 29 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Matthew Phillips | C/RW | 24 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Otto Koivula | C/LW | 23 | 750,000$ | 32,813$ | 75,000$ | RFA | ||||||
Pyotr Kochetkov | G | 23 | 725,000$ | 31,719$ | 72,500$ | RFA | ||||||
Radim Zohorna | C/LW/RW | 26 | 750,000$ | 328,125$ | 750,000$ | RFA | ||||||
Ronan Seeley | D | 19 | 475,000$ | 20,781$ | 47,500$ | 47,500$ | RFA | |||||
Sheldon Dries | C/LW/RW | 28 | 450,000$ | 19,688$ | 45,000$ | UFA | ||||||
Tristen Robins | RW | 20 | 725,000$ | 31,719$ | 72,500$ | 72,500$ | RFA | |||||
Ty Emberson | D | 22 | 853,333$ | 37,333$ | 85,333$ | 85,333$ | RFA |
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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 |
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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 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.33 | 2.67 | 6 | 1.000 | 5.0 | 8.7 | 13.7 | 0 | 0 | 5 | 4 | 6 | 0 | 32.7 | 33 | 29 | 36 | 0 | 36.3 | 12.7 | 12.00 | 18.0 | 3.33 | 1.67 | 50.00% | 4.33 | 0.67 | 84.62% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.33 | 13.33 | 23.33 | 8.00 | 15.00 | 7.33 | 66.7% | 15.3% | 93.6% | 108.9 | LUCKY |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.00 | 0.00 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 1 | 1 | 2 | 0 | 25.5 | 18 | 15 | 18 | 0 | 26.5 | 19.0 | 12.00 | 17.5 | 3.00 | 0.50 | 16.67% | 6.00 | 1.00 | 83.33% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.50 | 12.50 | 22.50 | 8.50 | 15.50 | 7.50 | 60.0% | 7.8% | 92.5% | 100.3 | DULL |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0.00 | 5.00 | -5.00 | 0 | 0.000 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0 | 0 | 0 | 0 | 32.0 | 4 | 6 | 22 | 0 | 30.0 | 12.0 | 11.00 | 19.0 | 2.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 23.00 | 9.00 | 15.00 | 7.00 | 0.0% | 0.0% | 83.3% | 83.3 | Unlucky |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1.50 | 4.00 | -2.50 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 2 | 1 | 0 | 23.5 | 9 | 20 | 18 | 0 | 32.0 | 10.0 | 19.00 | 20.0 | 3.00 | 0.50 | 16.67% | 7.00 | 1.50 | 78.57% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 14.50 | 22.50 | 8.00 | 14.50 | 7.00 | 28.6% | 6.4% | 87.5% | 93.9 | Unlucky |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 1 | 0 | 0 | 30.0 | 11 | 7 | 12 | 0 | 33.0 | 11.0 | 6.00 | 16.0 | 7.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.00 | 14.00 | 21.00 | 8.00 | 15.00 | 7.00 | 100.0% | 6.7% | 97.0% | 103.6 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 1.0 | 2.0 | 0 | 0 | 1 | 0 | 0 | 0 | 36.0 | 18 | 5 | 13 | 0 | 26.0 | 11.0 | 2.00 | 32.0 | 6.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 30.00 | 20.00 | 15.00 | 6.00 | 14.00 | 8.00 | 25.0% | 2.8% | 88.5% | 91.2 | Unlucky |
7 | ![]() | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 4.75 | 2.75 | 2.00 | 8 | 1.000 | 4.8 | 8.5 | 13.3 | 0 | 0 | 3 | 6 | 8 | 2 | 31.8 | 43 | 39 | 39 | 6 | 33.0 | 14.0 | 12.25 | 20.5 | 3.75 | 1.50 | 40.00% | 4.25 | 0.75 | 82.35% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.25 | 13.75 | 23.75 | 8.75 | 15.75 | 7.50 | 61.9% | 15.0% | 91.7% | 106.6 | LUCKY |
8 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 8.00 | -7.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 0 | 0 | 24.0 | 9 | 6 | 9 | 0 | 39.0 | 12.0 | 36.00 | 18.0 | 1.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 18.00 | 10.00 | 26.00 | 8.00 | 15.00 | 7.00 | 12.5% | 4.2% | 79.5% | 83.7 | Unlucky |
9 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.0 | 7 | 3 | 18 | 0 | 29.0 | 14.0 | 15.00 | 17.0 | 3.00 | 0.00 | 0.00% | 5.00 | 2.00 | 60.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 13.00 | 21.00 | 8.00 | 16.00 | 8.00 | 33.3% | 3.6% | 86.2% | 89.8 | Unlucky |
10 | ![]() | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 2.33 | 1.67 | 0.67 | 5 | 0.833 | 2.3 | 4.0 | 6.3 | 0 | 1 | 4 | 0 | 3 | 0 | 35.3 | 42 | 34 | 29 | 1 | 27.7 | 12.3 | 8.00 | 21.7 | 3.67 | 0.67 | 18.18% | 2.33 | 0.33 | 85.71% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.33 | 17.00 | 19.33 | 7.67 | 15.67 | 8.00 | 55.6% | 6.6% | 94.0% | 100.6 | DULL |
11 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.50 | -1.00 | 2 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 2 | 1 | 1 | 1 | 31.5 | 23 | 22 | 16 | 2 | 33.0 | 11.5 | 11.50 | 20.5 | 7.50 | 0.00 | 0.00% | 4.50 | 1.00 | 77.78% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.50 | 16.00 | 20.50 | 8.00 | 14.50 | 7.50 | 50.0% | 7.9% | 89.4% | 97.3 | Unlucky |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 1 | 0 | 0 | 21.0 | 10 | 8 | 3 | 0 | 36.0 | 12.0 | 10.00 | 25.0 | 2.00 | 1.00 | 50.00% | 5.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 24.00 | 8.00 | 14.00 | 7.00 | 50.0% | 9.5% | 97.2% | 106.7 | LUCKY |
13 | ![]() | 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 | 0 | 1 | 0 | 40.0 | 16 | 9 | 15 | 0 | 29.0 | 15.0 | 15.00 | 31.0 | 1.00 | 1.00 | 100.00% | 5.00 | 1.00 | 80.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.00 | 15.00 | 20.00 | 7.00 | 15.00 | 7.00 | 33.3% | 5.0% | 89.7% | 94.7 | Unlucky |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 1 | 1 | 0 | 40.0 | 13 | 19 | 8 | 0 | 28.0 | 8.0 | 4.00 | 18.0 | 4.00 | 1.00 | 25.00% | 2.00 | 1.00 | 50.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.00 | 15.00 | 20.00 | 8.00 | 15.00 | 8.00 | 66.7% | 7.5% | 92.9% | 100.4 | DULL |
15 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.50 | 0.50 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 0 | 4 | 2 | 0 | 0 | 32.5 | 18 | 24 | 23 | 0 | 29.0 | 10.5 | 17.00 | 24.5 | 3.00 | 1.00 | 33.33% | 3.50 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 24.50 | 15.00 | 18.50 | 7.50 | 16.50 | 8.50 | 44.4% | 9.2% | 91.4% | 100.6 | LUCKY |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10.00 | 3.00 | 7.00 | 2 | 1.000 | 10.0 | 17.0 | 27.0 | 0 | 0 | 3 | 1 | 6 | 0 | 41.0 | 14 | 11 | 16 | 0 | 34.0 | 13.0 | 4.00 | 21.0 | 4.00 | 4.00 | 100.00% | 2.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 15.00 | 21.00 | 7.00 | 15.00 | 8.00 | 66.7% | 24.4% | 91.2% | 115.6 | LUCKY |
17 | ![]() | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2.40 | 1.40 | 1.00 | 9 | 0.900 | 2.4 | 4.2 | 6.6 | 0 | 0 | 4 | 3 | 5 | 0 | 34.4 | 52 | 55 | 65 | 0 | 27.6 | 8.8 | 9.00 | 22.6 | 3.20 | 0.40 | 12.50% | 4.00 | 0.40 | 90.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.40 | 14.60 | 21.00 | 8.40 | 15.60 | 7.80 | 66.7% | 7.0% | 94.9% | 101.9 | DULL |
18 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2.50 | 1.00 | 1.50 | 4 | 1.000 | 2.5 | 4.5 | 7.0 | 0 | 1 | 4 | 1 | 0 | 0 | 29.0 | 26 | 16 | 16 | 0 | 34.0 | 8.5 | 7.00 | 24.5 | 2.00 | 0.50 | 25.00% | 4.00 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.50 | 14.00 | 21.00 | 8.00 | 16.00 | 8.00 | 66.7% | 8.6% | 97.1% | 105.7 | DULL |
19 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.33 | 2.67 | -0.33 | 2 | 0.333 | 2.3 | 4.0 | 6.3 | 0 | 0 | 3 | 2 | 2 | 0 | 30.7 | 28 | 37 | 27 | 0 | 31.3 | 14.7 | 11.00 | 16.3 | 2.33 | 0.33 | 14.29% | 4.67 | 0.67 | 85.71% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.00 | 14.00 | 22.00 | 8.33 | 15.33 | 7.33 | 50.0% | 7.6% | 91.5% | 99.1 | DULL |
20 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 1 | 3 | 1 | 0 | 31.0 | 12 | 9 | 10 | 0 | 27.0 | 9.0 | 8.00 | 21.0 | 1.00 | 1.00 | 100.00% | 4.00 | 0.00 | 100.00% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 22.00 | 8.00 | 16.00 | 7.00 | 80.0% | 16.1% | 96.3% | 112.4 | LUCKY |
21 | ![]() | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 2.67 | -0.67 | 2 | 0.333 | 2.0 | 4.0 | 6.0 | 0 | 0 | 1 | 3 | 2 | 0 | 33.3 | 36 | 40 | 24 | 0 | 26.3 | 6.0 | 3.33 | 26.7 | 4.67 | 0.33 | 7.14% | 1.67 | 0.00 | 100.00% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.33 | 16.33 | 19.00 | 7.67 | 15.33 | 8.00 | 38.5% | 6.0% | 89.9% | 95.9 | Unlucky |
22 | ![]() | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2.50 | 4.50 | -2.00 | 1 | 0.250 | 2.5 | 4.0 | 6.5 | 0 | 0 | 1 | 4 | 0 | 0 | 26.0 | 11 | 25 | 14 | 2 | 33.0 | 12.5 | 12.00 | 19.5 | 3.50 | 0.50 | 14.29% | 6.00 | 1.00 | 83.33% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 20.00 | 12.00 | 24.50 | 9.00 | 15.50 | 7.00 | 36.4% | 9.6% | 86.4% | 96.0 | FUN |
23 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1.50 | 2.50 | -1.00 | 2 | 0.500 | 1.5 | 2.5 | 4.0 | 0 | 0 | 0 | 1 | 1 | 1 | 27.5 | 16 | 19 | 19 | 1 | 30.5 | 11.5 | 5.00 | 27.0 | 1.00 | 0.00 | 0.00% | 2.50 | 0.00 | 100.00% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.00 | 13.00 | 23.00 | 8.00 | 15.50 | 7.50 | 37.5% | 5.5% | 91.8% | 97.3 | DULL |
24 | ![]() | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2.50 | 2.50 | 0.00 | 3 | 0.750 | 2.5 | 5.0 | 7.5 | 0 | 0 | 2 | 2 | 0 | 1 | 28.5 | 22 | 17 | 16 | 2 | 30.5 | 7.5 | 14.50 | 27.0 | 2.50 | 0.50 | 20.00% | 3.50 | 1.50 | 57.14% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 21.00 | 13.00 | 24.50 | 9.00 | 16.50 | 7.50 | 66.7% | 8.8% | 91.8% | 100.6 | DULL |
25 | ![]() | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3.00 | 3.00 | 0.00 | 3 | 0.750 | 3.0 | 4.5 | 7.5 | 0 | 0 | 0 | 3 | 2 | 1 | 33.0 | 11 | 16 | 37 | 6 | 32.0 | 10.5 | 18.00 | 25.0 | 4.00 | 0.00 | 0.00% | 4.00 | 1.50 | 62.50% | 0 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 25.00 | 15.50 | 21.00 | 8.50 | 16.50 | 8.50 | 66.7% | 9.1% | 90.6% | 99.7 | FUN |
_Vs Division | 15 | 5 | 6 | 0 | 2 | 1 | 1 | 0 | 2.93 | 2.67 | 0.27 | 17 | 0.567 | 2.9 | 5.2 | 8.1 | 0 | 0 | 9 | 15 | 17 | 3 | 31.7 | 152 | 156 | 160 | 12 | 30.1 | 12.8 | 11.13 | 21.8 | 3.40 | 0.67 | 19.61% | 4.07 | 0.73 | 81.97% | 1 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.33 | 14.60 | 21.87 | 8.40 | 15.73 | 7.80 | 54.0% | 9.2% | 91.1% | 100.4 | Unlucky | |
_Vs Conference | 32 | 15 | 9 | 0 | 4 | 3 | 1 | 0 | 2.84 | 2.41 | 0.44 | 43 | 0.672 | 2.8 | 5.0 | 7.9 | 0 | 1 | 25 | 27 | 34 | 5 | 32.3 | 334 | 330 | 357 | 16 | 30.2 | 11.8 | 10.13 | 21.7 | 3.38 | 0.63 | 18.52% | 3.81 | 0.56 | 85.25% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 23.19 | 14.63 | 21.72 | 8.38 | 15.63 | 7.81 | 54.6% | 8.8% | 92.0% | 100.8 | DULL | |
_Since Last GM Reset | 49 | 23 | 15 | 0 | 5 | 5 | 1 | 0 | 2.76 | 2.61 | 0.14 | 63 | 0.643 | 2.8 | 4.9 | 7.6 | 0 | 2 | 43 | 43 | 43 | 6 | 31.3 | 502 | 491 | 523 | 20 | 30.8 | 11.4 | 11.02 | 21.9 | 3.33 | 0.65 | 19.63% | 3.90 | 0.63 | 83.77% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.98 | 14.49 | 21.86 | 8.37 | 15.67 | 7.82 | 51.5% | 8.8% | 91.5% | 100.3 | DULL | |
Total | 49 | 23 | 15 | 0 | 5 | 5 | 1 | 0 | 2.76 | 2.61 | 0.14 | 63 | 0.643 | 2.8 | 4.9 | 7.6 | 0 | 2 | 43 | 43 | 43 | 6 | 31.3 | 502 | 491 | 523 | 20 | 30.8 | 11.4 | 11.02 | 21.9 | 3.33 | 0.65 | 19.63% | 3.90 | 0.63 | 83.77% | 3 | 557 | 1015 | 54.88% | 498 | 1017 | 48.97% | 339 | 596 | 56.88% | 22.98 | 14.49 | 21.86 | 8.37 | 15.67 | 7.82 | 51.5% | 8.8% | 91.5% | 100.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 15 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1015 |
Neutral Zone Start | 596 |
Defensive Zone Start | 1017 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1394 |
Faceoffs Lost | 1234 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.2 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 100 |
---|---|
PP Goal | 32 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 13 |
Lost | 6 | 9 |
Overtime Lost | 2 | 3 |
PP Attempt | 163 |
---|---|
PP Goal | 32 |
PK Attempt | 191 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 30.8 |
Goals For | 2.8 |
Goals Against | 2.6 |
Hits | 21.9 |
Shots Blocked | 11.4 |
Pim | 11.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mon, Mar 20 | ![]() | @ | ![]() | AVG3,STO1 | RECAP | |||||||||
Fri, Mar 24 | ![]() | @ | ![]() | STO2,KNI1 | RECAP | |||||||||
Sat, Mar 25 | ![]() | @ | ![]() | MAV1,STO6 | RECAP | |||||||||
Tue, Mar 28 | ![]() | @ | ![]() | MET3,STO2 | RECAP | |||||||||
Fri, Mar 31 | ![]() | @ | ![]() | STO1,WOL3 | RECAP | |||||||||
Sat, Apr 1 | ![]() | @ | ![]() | STO1,KNI2 (OT) | RECAP | |||||||||
Mon, Apr 3 | ![]() | @ | ![]() | STO3,HIT2 (OT) | RECAP | |||||||||
Wed, Apr 5 | ![]() | @ | ![]() | TIT3,STO2 (OT) | RECAP | |||||||||
Sat, Apr 8 | ![]() | @ | ![]() | BUT4,STO3 | RECAP | |||||||||
Mon, Apr 10 | ![]() | @ | ![]() | STO4,AVG2 | RECAP | |||||||||
Tue, Apr 11 | ![]() | @ | ![]() | STO4,TIT3 (SO) | RECAP | |||||||||
Thu, Apr 13 | ![]() | @ | ![]() | AVG3,STO1 | RECAP | |||||||||
Sat, Apr 15 | ![]() | @ | ![]() | FRE1,STO5 | RECAP | |||||||||
Mon, Apr 17 | ![]() | @ | ![]() | STO2,KNI1 | RECAP | |||||||||
Tue, Apr 18 | ![]() | @ | ![]() | STO0,THU5 | RECAP | |||||||||
Thu, Apr 20 | ![]() | @ | ![]() | ROC2,STO3 (OT) | RECAP | |||||||||
Sat, Apr 22 | ![]() | @ | ![]() | STO3,MAV2 | RECAP | |||||||||
Mon, Apr 24 | ![]() | @ | ![]() | GWS1,STO2 | RECAP | |||||||||
Wed, Apr 26 | ![]() | @ | ![]() | STO2,BFT5 | RECAP | |||||||||
Sat, Apr 29 | ![]() | @ | ![]() | STO1,BUT3 | RECAP | |||||||||
Mon, May 1 | ![]() | @ | ![]() | BFT4,STO3 (OT) | RECAP | |||||||||
Fri, May 5 | ![]() | @ | ![]() | STO1,HEL3 | RECAP | |||||||||
Sun, May 7 | ![]() | @ | ![]() | STO2,SLA4 | RECAP | |||||||||
Mon, May 8 | ![]() | @ | ![]() | LYN6,STO0 | RECAP | |||||||||
Wed, May 10 | ![]() | @ | ![]() | SLA1,STO4 | RECAP | |||||||||
Sat, May 13 | ![]() | @ | ![]() | STO0,HIT3 | RECAP | |||||||||
Sun, May 14 | ![]() | @ | ![]() | STO1,RIN2 (OT) | RECAP | |||||||||
Tue, May 16 | ![]() | @ | ![]() | RIN3,STO4 (OT) | RECAP | |||||||||
Sun, May 21 | ![]() | @ | ![]() | CRU0,STO1 | RECAP | |||||||||
Tue, May 23 | ![]() | @ | ![]() | STO2,MOU1 | RECAP | |||||||||
Wed, May 24 | ![]() | @ | ![]() | KNI2,STO5 | RECAP | |||||||||
Sat, May 27 | ![]() | @ | ![]() | STO3,LYN2 | RECAP | |||||||||
Sun, May 28 | ![]() | @ | ![]() | STO1,MUS8 | RECAP | |||||||||
Tue, May 30 | ![]() | @ | ![]() | WOL1,STO3 | RECAP | |||||||||
Thu, Jun 1 | ![]() | @ | ![]() | FRE2,STO5 | RECAP | |||||||||
Sat, Jun 3 | ![]() | @ | ![]() | STO4,CRU2 | RECAP | |||||||||
Mon, Jun 5 | ![]() | @ | ![]() | BUT1,STO3 | RECAP | |||||||||
Thu, Jun 8 | ![]() | @ | ![]() | STO5,FRE4 | RECAP | |||||||||
Sat, Jun 10 | ![]() | @ | ![]() | STO2,KNI1 | RECAP | |||||||||
Sun, Jun 11 | ![]() | @ | ![]() | TRA4,STO1 | RECAP | |||||||||
Wed, Jun 14 | ![]() | @ | ![]() | GRI1,STO5 | RECAP | |||||||||
Thu, Jun 15 | ![]() | @ | ![]() | STO2,ROC5 | RECAP | |||||||||
Sat, Jun 17 | ![]() | @ | ![]() | MAV2,STO3 (OT) | RECAP | |||||||||
Tue, Jun 20 | ![]() | @ | ![]() | STO2,BRA3 (OT) | RECAP | |||||||||
Thu, Jun 22 | ![]() | @ | ![]() | MAV6,STO7 (OT) | RECAP | |||||||||
Sat, Jun 24 | ![]() | @ | ![]() | STO2,BRA0 | RECAP | |||||||||
Sun, Jun 25 | ![]() | @ | ![]() | BRA2,STO3 | RECAP | |||||||||
Thu, Jun 29 | ![]() | @ | ![]() | DRA3,STO10 | RECAP | |||||||||
Sat, Jul 1 | ![]() | @ | ![]() | STO3,JAG2 | RECAP | |||||||||
Mon, Jul 3 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 5 | ![]() | @ | ![]() | |||||||||||
Fri, Jul 7 | ![]() | @ | ![]() | |||||||||||
Sat, Jul 8 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 10 | ![]() | @ | ![]() | |||||||||||
Tue, Jul 11 | ![]() | @ | ![]() | |||||||||||
Thu, Jul 13 | ![]() | @ | ![]() | |||||||||||
Mon, Jul 17 | ![]() | @ | ![]() | |||||||||||
Tue, Jul 18 | ![]() | @ | ![]() | |||||||||||
Fri, Jul 21 | ![]() | @ | ![]() | |||||||||||
Wed, Jul 26 | ![]() | @ | ![]() | |||||||||||
Fri, Jul 28 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 2 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 5 | ![]() | @ | ![]() | |||||||||||
Sun, Aug 6 | ![]() | @ | ![]() | |||||||||||
Tue, Aug 8 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 10 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
Fri, Aug 11 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 16 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 17 | ![]() | @ | ![]() | |||||||||||
Sat, Aug 19 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 24 | ![]() | @ | ![]() | |||||||||||
Fri, Aug 25 | ![]() | @ | ![]() | |||||||||||
Mon, Aug 28 | ![]() | @ | ![]() | |||||||||||
Wed, Aug 30 | ![]() | @ | ![]() | |||||||||||
Thu, Aug 31 | ![]() | @ | ![]() | |||||||||||
Sat, Sep 2 | ![]() | @ | ![]() | |||||||||||
Mon, Sep 4 | ![]() | @ | ![]() | |||||||||||
Thu, Sep 7 | ![]() | @ | ![]() | |||||||||||
Sat, Sep 9 | ![]() | @ | ![]() | |||||||||||
Tue, Sep 12 | ![]() | @ | ![]() | |||||||||||
Fri, Sep 15 | ![]() | @ | ![]() | |||||||||||
Fri, Sep 22 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,470,476$ | 0$ | 80,151,726$ | 1,348,274$ |
Arena | Goal Horn | About us | |
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![]() | Name | ||
City | Vancouver | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 114259 | 90947 | 37655 | 74533 | 18983 |
Attendance PCT | 79.35% | 75.79% | 78.45% | 77.64% | 79.10% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 14016 - 77.87% | 978,663$ | 23,487,905$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,470,476$ | 79,470,476$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
44,352,702$ | 413,909$ | 43,980,677$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
16,637,266$ | 84 | 413,909$ | 34,768,356$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
35,388,780$ | 80,151,726$ | 144,443,843$ | 126,879,361$ |
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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 |
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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 |
---|---|---|---|---|---|
Conner Roulette | ![]() | 2021 | 67 | ||
Daniil Pylenkov | ![]() | 2021 | 134 | ||
Graham Sward | ![]() | 2022 | 165 | ||
Jackson Dorrington | ![]() | 2022 | 193 | ||
Jake Martin | ![]() | 2021 | 176 | ||
Kirill Kirsanov | ![]() | 2021 | 64 | ||
Lorenzo Canonica | ![]() | 2021 | 148 | ||
Matthew Poitras | ![]() | 2022 | 53 | ||
Sean Tschigerl | ![]() | 2021 | 79 | ||
Sebastian Cossa | ![]() | 2021 | 10 | ||
Simon Edvinsson | ![]() | 2021 | 8 | ||
Thomas MIlic | ![]() | 2021 | 190 | ||
Ville Koivunen | ![]() | 2021 | 36 |
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 |
---|---|---|---|---|---|
Conner Roulette | ![]() | 2021 | 67 | ||
Daniil Pylenkov | ![]() | 2021 | 134 | ||
Graham Sward | ![]() | 2022 | 165 | ||
Jackson Dorrington | ![]() | 2022 | 193 | ||
Jake Martin | ![]() | 2021 | 176 | ||
Kirill Kirsanov | ![]() | 2021 | 64 | ||
Lorenzo Canonica | ![]() | 2021 | 148 | ||
Matthew Poitras | ![]() | 2022 | 53 | ||
Sean Tschigerl | ![]() | 2021 | 79 | ||
Sebastian Cossa | ![]() | 2021 | 10 | ||
Simon Edvinsson | ![]() | 2021 | 8 | ||
Thomas MIlic | ![]() | 2021 | 190 | ||
Ville Koivunen | ![]() | 2021 | 36 |
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