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Full Scoreboard »» |
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Full Scoreboard »» |
Abbotsford Canucks 27-32-9, 63pts · 13th in Western |
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 | 99.00 | 87 | 41 | 56 | 65 | 66 | 72 | 60 | 62 | 66 | 58 | 56 | 66 | 65 | 63 | 59 | 0 | 16 | 71 | 26 | 775,000$/1yrs | |||
![]() | 21 | C/LW | 100.00 | 65 | 39 | 83 | 53 | 78 | 65 | 83 | 65 | 76 | 55 | 54 | 68 | 55 | 70 | 68 | 0 | 27 | 69 | 28 | 800,000$/1yrs | |||
![]() | 39 | C | 100.00 | 80 | 43 | 58 | 53 | 89 | 65 | 88 | 65 | 74 | 56 | 53 | 68 | 54 | 70 | 65 | 0 | 30 | 69 | 29 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 39 | 72 | 56 | 65 | 66 | 85 | 62 | 73 | 59 | 55 | 66 | 57 | 66 | 63 | 0 | 23 | 69 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 40 | 78 | 57 | 80 | 65 | 76 | 61 | 72 | 55 | 58 | 64 | 56 | 63 | 60 | 0 | 20 | 69 | 25 | 900,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 60 | 39 | 91 | 57 | 78 | 66 | 74 | 62 | 39 | 50 | 64 | 65 | 57 | 64 | 64 | 0 | 18 | 69 | 25 | 870,000$/2yrs | |||
![]() | 61 | RW | 100.00 | 66 | 40 | 81 | 52 | 83 | 63 | 80 | 63 | 39 | 52 | 53 | 67 | 53 | 66 | 64 | 0 | 42 | 67 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 38 | 92 | 49 | 78 | 61 | 71 | 65 | 73 | 49 | 50 | 68 | 49 | 68 | 67 | 0 | 30 | 66 | 27 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 78 | 41 | 61 | 54 | 74 | 62 | 81 | 59 | 43 | 53 | 53 | 63 | 53 | 59 | 55 | 0 | 42 | 66 | 22 | 863,333$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 64 | 40 | 85 | 51 | 83 | 61 | 89 | 62 | 64 | 50 | 51 | 65 | 50 | 62 | 61 | 0 | 40 | 66 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 99 | 44 | 50 | 49 | 75 | 60 | 80 | 64 | 46 | 50 | 48 | 67 | 49 | 66 | 61 | 0 | 36 | 66 | 26 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 74 | 32 | 92 | 55 | 75 | 70 | 71 | 51 | 30 | 50 | 50 | 57 | 50 | 66 | 66 | 0 | 37 | 65 | 26 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 39 | 86 | 51 | 74 | 60 | 66 | 61 | 35 | 49 | 51 | 64 | 50 | 61 | 59 | 0 | 23 | 65 | 24 | 870,000$/2yrs | |||
![]() | 10 | D | 99.60 | 64 | 33 | 95 | 55 | 82 | 77 | 68 | 54 | 30 | 62 | 50 | 54 | 52 | 69 | 68 | 0 | 24 | 69 | 27 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 39 | 76 | 53 | 74 | 62 | 84 | 49 | 30 | 58 | 47 | 63 | 53 | 59 | 57 | 0 | 40 | 67 | 23 | 817,778$/1yrs | |||
![]() | 0 | D | 99.00 | 65 | 40 | 83 | 47 | 87 | 62 | 81 | 46 | 30 | 52 | 48 | 70 | 50 | 71 | 70 | 0 | 40 | 66 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 38 | 87 | 50 | 68 | 63 | 89 | 48 | 30 | 56 | 50 | 66 | 53 | 64 | 63 | 0 | 32 | 66 | 26 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 95 | 44 | 50 | 56 | 88 | 64 | 60 | 53 | 30 | 49 | 47 | 63 | 56 | 57 | 52 | 0 | 25 | 66 | 21 | 805,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 40 | 75 | 57 | 78 | 64 | 80 | 54 | 30 | 50 | 46 | 63 | 56 | 57 | 55 | 0 | 16 | 66 | 22 | 814,167$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 62 | 38 | 89 | 57 | 80 | 66 | 73 | 62 | 47 | 56 | 57 | 65 | 57 | 66 | 65 | 0 | 20 | 69 | 27 | ||||
![]() | 0 | LW | 100.00 | 73 | 41 | 69 | 51 | 79 | 63 | 82 | 64 | 38 | 49 | 55 | 68 | 52 | 68 | 65 | 0 | 20 | 67 | 27 | ||||
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 51 | 68 | 63 | 68 | 64 | 49 | 48 | 55 | 68 | 52 | 68 | 67 | 0 | 20 | 67 | 27 | ||||
![]() | 0 | LW | 100.00 | 74 | 40 | 68 | 48 | 75 | 60 | 78 | 64 | 36 | 48 | 48 | 67 | 48 | 66 | 63 | 0 | 25 | 65 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 39 | 90 | 49 | 79 | 60 | 76 | 63 | 65 | 48 | 51 | 66 | 49 | 64 | 63 | 0 | 20 | 65 | 25 | ||||
![]() | 0 | LW | 100.00 | 89 | 43 | 50 | 49 | 82 | 59 | 79 | 61 | 41 | 49 | 47 | 64 | 48 | 61 | 56 | 0 | 21 | 64 | 24 | 776,667$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 38 | 93 | 48 | 71 | 59 | 74 | 63 | 71 | 48 | 47 | 66 | 48 | 64 | 63 | 0 | 20 | 64 | 25 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 54 | 37 | 94 | 55 | 65 | 66 | 82 | 54 | 30 | 50 | 49 | 65 | 57 | 65 | 64 | 0 | 17 | 64 | 25 | 870,000$/1yrs | |||
![]() | 91 | LW/RW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 19 | 9 | 24 | ||||
![]() | 0 | D | 100.00 | 64 | 39 | 88 | 59 | 78 | 69 | 60 | 58 | 30 | 55 | 50 | 68 | 60 | 65 | 64 | 0 | 19 | 70 | 27 | ||||
![]() | 0 | D | 100.00 | 70 | 41 | 74 | 56 | 83 | 59 | 60 | 56 | 65 | 52 | 42 | 68 | 55 | 66 | 64 | 0 | 20 | 67 | 27 | ||||
![]() | 48 | D | 100.00 | 67 | 39 | 80 | 49 | 74 | 61 | 72 | 46 | 30 | 54 | 46 | 67 | 50 | 66 | 64 | 0 | 19 | 65 | 26 | ||||
![]() | 0 | D | 100.00 | 75 | 40 | 67 | 49 | 74 | 62 | 88 | 48 | 30 | 54 | 51 | 63 | 52 | 59 | 56 | 0 | 37 | 65 | 22 | 856,667$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 41 | 72 | 45 | 84 | 61 | 84 | 44 | 30 | 51 | 47 | 68 | 49 | 68 | 65 | 0 | 14 | 64 | 27 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 38 | 86 | 45 | 70 | 60 | 77 | 44 | 30 | 50 | 46 | 67 | 48 | 66 | 64 | 0 | 19 | 63 | 26 | ||||
![]() | 0 | D | 100.00 | 63 | 39 | 87 | 45 | 83 | 61 | 76 | 44 | 30 | 50 | 48 | 66 | 49 | 66 | 65 | 0 | 15 | 63 | 26 | 900,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 37 | 89 | 43 | 61 | 59 | 67 | 42 | 30 | 47 | 48 | 67 | 47 | 66 | 65 | 0 | 20 | 62 | 26 | ||||
![]() | 0 | D | 100.00 | 67 | 39 | 79 | 44 | 74 | 57 | 77 | 43 | 30 | 48 | 46 | 62 | 47 | 57 | 55 | 0 | 18 | 61 | 22 | 829,444$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 76 | 76 | 73 | 80 | 75 | 78 | 77 | 76 | 78 | 77 | 77 | 66 | 66 | 0 | 35 | 80 | 26 | 855,000$/1yrs |
![]() | 0 | 100.00 | 73 | 70 | 76 | 90 | 71 | 75 | 76 | 73 | 75 | 73 | 75 | 71 | 78 | 0 | 41 | 79 | 28 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 77 | 69 | 76 | 71 | 74 | 74 | 72 | 74 | 72 | 73 | 67 | 75 | 0 | 20 | 77 | 25 | 800,000$/1yrs |
![]() | 0 | 100.00 | 75 | 66 | 67 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 18 | 76 | 27 | 800,000$/2yrs |
![]() | 0 | 100.00 | 69 | 70 | 67 | 82 | 62 | 73 | 71 | 69 | 73 | 71 | 71 | 69 | 69 | 0 | 20 | 75 | 28 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 59 | 63 | 68 | 72 | 83 | 78 | 68 | CAN | 56 | 5 | 1,000,000$ |
General Manager |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nick Caamano | RW | 67 | 18 | 23 | 41 | -4 | 20 | 0 | 70 | 160 | 63 | 115 | 11.25% | 12 | 18.04 | 7 | 9 | 16 | 157 | 0 | 0 | 0 | 98 | 3 | 1 | 37.87% | 235 | 0 | 0 | 0 | 0 | 0.68 | 0 | 1 | ||
2 | Patrick Giles | C/RW | 68 | 12 | 24 | 36 | 7 | 12 | 0 | 31 | 130 | 38 | 101 | 9.23% | 17 | 14.26 | 2 | 6 | 8 | 104 | 1 | 0 | 1 | 33 | 0 | 1 | 45.45% | 99 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
3 | David Cotton | C | 57 | 11 | 20 | 31 | -7 | 2 | 0 | 7 | 158 | 43 | 114 | 6.96% | 6 | 17.04 | 4 | 7 | 11 | 111 | 0 | 0 | 0 | 61 | 3 | 0 | 53.42% | 1198 | 0 | 0 | 0 | 0 | 0.64 | 1 | 3 | ||
4 | Jacob Perreault | C/RW | 68 | 14 | 16 | 30 | -7 | 8 | 0 | 38 | 167 | 54 | 101 | 8.38% | 10 | 17.25 | 2 | 3 | 5 | 134 | 0 | 0 | 0 | 50 | 2 | 2 | 32.43% | 444 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
5 | Rhett Gardner | C | 44 | 12 | 15 | 27 | -5 | 12 | 0 | 59 | 146 | 44 | 84 | 8.22% | 10 | 20.81 | 2 | 4 | 6 | 125 | 0 | 0 | 0 | 143 | 2 | 1 | 53.37% | 1010 | 0 | 0 | 0 | 0 | 0.59 | 2 | 5 | ||
6 | William Villeneuve | D | 64 | 8 | 18 | 26 | -12 | 65 | 5 | 144 | 63 | 23 | 30 | 12.70% | 93 | 21.77 | 4 | 7 | 11 | 160 | 0 | 0 | 0 | 164 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
7 | Joey Abate | LW | 68 | 10 | 16 | 26 | -5 | 72 | 0 | 215 | 153 | 44 | 118 | 6.54% | 15 | 15.82 | 0 | 2 | 2 | 128 | 0 | 0 | 0 | 15 | 1 | 1 | 32.29% | 96 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
8 | Grant Hutton | D | 62 | 6 | 18 | 24 | 6 | 36 | 0 | 109 | 73 | 13 | 42 | 8.22% | 89 | 20.12 | 2 | 1 | 3 | 162 | 0 | 0 | 0 | 146 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
9 | Nolan Stevens | C/LW | 57 | 11 | 12 | 23 | -1 | 4 | 0 | 25 | 113 | 32 | 87 | 9.73% | 11 | 14.98 | 2 | 4 | 6 | 88 | 1 | 1 | 2 | 106 | 3 | 0 | 53.49% | 630 | 0 | 0 | 0 | 0 | 0.54 | 0 | 3 | ||
10 | Hugh McGing | C/LW | 43 | 9 | 12 | 21 | -4 | 22 | 0 | 67 | 95 | 33 | 85 | 9.47% | 8 | 17.44 | 2 | 4 | 6 | 120 | 0 | 1 | 1 | 74 | 1 | 0 | 52.34% | 342 | 0 | 0 | 1 | 0 | 0.56 | 0 | 0 | ||
11 | William Trudeau | D | 64 | 3 | 18 | 21 | 9 | 47 | 5 | 135 | 44 | 17 | 26 | 6.82% | 66 | 18.17 | 1 | 2 | 3 | 95 | 0 | 0 | 0 | 84 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
12 | Benoit-Olivier Groulx | C/LW | 43 | 12 | 8 | 20 | -3 | 18 | 0 | 68 | 133 | 35 | 103 | 9.02% | 15 | 19.96 | 3 | 4 | 7 | 102 | 0 | 0 | 0 | 87 | 3 | 0 | 51.99% | 554 | 0 | 0 | 0 | 0 | 0.47 | 0 | 5 | ||
13 | Santtu Kinnunen | D | 66 | 3 | 17 | 20 | -4 | 39 | 5 | 74 | 47 | 18 | 39 | 6.38% | 83 | 20.40 | 1 | 4 | 5 | 137 | 0 | 3 | 3 | 153 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
14 | Wilmer Skoog | LW | 31 | 5 | 14 | 19 | 8 | 4 | 0 | 7 | 68 | 23 | 61 | 7.35% | 8 | 15.67 | 1 | 3 | 4 | 47 | 0 | 0 | 0 | 70 | 0 | 0 | 33.64% | 330 | 0 | 0 | 0 | 0 | 0.78 | 0 | 2 | ||
15 | Dylan Wendt | RW | 64 | 7 | 9 | 16 | -9 | 4 | 0 | 27 | 78 | 24 | 58 | 8.97% | 10 | 10.48 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 31.55% | 466 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
16 | Dylan Coghlan | D | 35 | 3 | 11 | 14 | -11 | 8 | 0 | 43 | 31 | 8 | 20 | 9.68% | 35 | 22.25 | 2 | 1 | 3 | 93 | 1 | 1 | 2 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
17 | Djibril Toure | D | 40 | 2 | 11 | 13 | 8 | 54 | 0 | 162 | 26 | 11 | 18 | 7.69% | 44 | 17.88 | 0 | 3 | 3 | 59 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 1 | 1 | ||
18 | Graham McPhee | LW | 60 | 5 | 7 | 12 | -11 | 24 | 0 | 84 | 83 | 31 | 70 | 6.02% | 9 | 11.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 2 | 33.12% | 314 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
19 | Artem Grushnikov | D | 33 | 2 | 10 | 12 | -5 | 18 | 0 | 28 | 25 | 8 | 9 | 8.00% | 38 | 16.87 | 1 | 0 | 1 | 20 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 1 | ||
20 | Brett Stapley | C | 11 | 6 | 3 | 9 | 8 | 12 | 0 | 47 | 29 | 6 | 23 | 20.69% | 4 | 19.41 | 0 | 0 | 0 | 8 | 1 | 0 | 1 | 24 | 1 | 0 | 52.23% | 157 | 0 | 0 | 0 | 1 | 0.84 | 0 | 1 | ||
21 | Jake Leschyshyn | C | 56 | 4 | 3 | 7 | -6 | 2 | 0 | 30 | 32 | 16 | 24 | 12.50% | 5 | 8.85 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 10 | 1 | 0 | 32.57% | 307 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
22 | Joseph Cecconi | D | 40 | 0 | 3 | 3 | -2 | 41 | 5 | 40 | 14 | 8 | 7 | 0.00% | 38 | 12.49 | 0 | 0 | 0 | 48 | 0 | 0 | 0 | 70 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | ||
23 | Navrin Mutter | LW | 48 | 1 | 1 | 2 | -2 | 4 | 0 | 18 | 15 | 5 | 12 | 6.67% | 1 | 2.13 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 13 | 1 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
24 | Nikolas Matinpalo | D | 16 | 0 | 2 | 2 | -10 | 8 | 0 | 14 | 8 | 1 | 4 | 0.00% | 16 | 16.84 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | ||
25 | Tyson Hinds | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 3 | 1 | 0 | 1 | 0.00% | 0 | 16.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
26 | Skyler Brind'Amour | C | 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 100.00% | 0 | 0.47 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 2.15 | 0 | 0 | ||
27 | Christian Felton | RW | 25 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 2 | 4 | 0.00% | 0 | 1.23 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1252 | 165 | 292 | 457 | -64 | 536 | 20 | 1547 | 1896 | 600 | 1358 | 8.70% | 643 | 15.55 | 37 | 65 | 102 | 1943 | 4 | 6 | 10 | 1634 | 25 | 9 | 45.86% | 6202 | 0 | 0 | 1 | 1 | 0.47 | 4 | 22 |
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 | Clay Stevenson | 40 | 15 | 18 | 5 | 0.916 | 2.77 | 2232 | 6 | 1 | 103 | 1222 | 0 | 0 | 1 | 0.643 | 14 | 38 | 25 | 5 | 4 | 1 | |
2 | Connor Hughes | 33 | 12 | 14 | 4 | 0.909 | 3.24 | 1835 | 2 | 2 | 99 | 1092 | 0 | 2 | 1 | 0.727 | 11 | 30 | 30 | 3 | 5 | 1 | |
3 | Gustav Grigals | 1 | 0 | 0 | 0 | 0.926 | 2.55 | 47 | 0 | 0 | 2 | 27 | 0 | 0 | 0 | 0.000 | 0 | 0 | 9 | 0 | 0 | 0 | |
Team Total or Average | 74 | 27 | 32 | 9 | 0.913 | 2.97 | 4116 | 8 | 3 | 204 | 2341 | 0 | 2 | 2 | 0.680 | 25 | 68 | 64 | 8 | 9 | 2 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Artem Grushnikov | D | 22 | 814,167$ | 814,167$ | 814,167$ | RFA | |||||
Benoit-Olivier Groulx | C/LW | 25 | 900,000$ | 900,000$ | |||||||
Brett Stapley | C | 26 | 775,000$ | 775,000$ | |||||||
Carsen Twarynski | LW | 27 | 0$ | UFA | |||||||
Christian Felton | RW | 25 | 870,000$ | 870,000$ | |||||||
Clay Stevenson | G | 26 | 855,000$ | 855,000$ | |||||||
Connor Hughes | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Zech | D | 26 | 0$ | ||||||||
David Cotton | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dennis Cesana | D | 26 | 0$ | UFA | |||||||
Djibril Toure | D | 21 | 805,000$ | 805,000$ | 805,000$ | RFA | |||||
Dylan Coghlan | D | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Dylan Wendt | RW | 24 | 870,000$ | 870,000$ | 870,000$ | ||||||
Filip Berglund | D | 27 | 0$ | UFA | |||||||
Filip Engaras | C | 25 | 0$ | ||||||||
Graham McPhee | LW | 26 | 775,000$ | 775,000$ | |||||||
Grant Gabriele | D | 27 | 0$ | UFA | |||||||
Grant Hutton | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Gustav Grigals | G | 25 | 800,000$ | 800,000$ | |||||||
Hugh McGing | C/LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jacob Perreault | C/RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Jake Leschyshyn | C | 26 | 775,000$ | 775,000$ | |||||||
Joey Abate | LW | 26 | 800,000$ | 800,000$ | |||||||
Joseph Cecconi | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Julian Napravnik | RW | 27 | 0$ | UFA | |||||||
Matthew Murray | G | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Mikhail Maltsev | LW | 27 | 0$ | UFA | |||||||
Navrin Mutter | LW | 24 | 776,667$ | 776,667$ | |||||||
Nick Caamano | RW | 26 | 775,000$ | 775,000$ | |||||||
Nikolas Matinpalo | D | 26 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Nolan Stevens | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Olli Juolevi | D | 26 | 0$ | ||||||||
Patrick Giles | C/RW | 25 | 775,000$ | 775,000$ | |||||||
Rhett Gardner | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Santtu Kinnunen | D | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Skyler Brind'Amour | C | 25 | 775,000$ | 775,000$ | |||||||
Tyson Hinds | D | 22 | 829,444$ | 829,444$ | 829,444$ | RFA | |||||
Victor Brattstrom | G | 28 | 0$ | UFA | |||||||
William Trudeau | D | 22 | 856,667$ | 856,667$ | RFA | ||||||
William Villeneuve | D | 23 | 817,778$ | 817,778$ | RFA | ||||||
Wilmer Skoog | LW | 25 | 870,000$ | 870,000$ | 870,000$ | ||||||
Yevgeni Oksentyuk | LW/RW | 24 | 0$ |
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Goalies | |||||||
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Priority | Type | Description |
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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 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 5 | 14 | -9 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 59 | 52 | 53 | 8 | 93 | 608 | 637 | 652 | 63 | 124 | 36 | 42 | 84 | 15 | 2 | 13.33% | 20 | 4 | 80.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 23.1% | 5.4% | 88.7% | 94.1 | Unlucky | |
2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 6 | 11 | 0 | 0 | 59 | 52 | 53 | 8 | 50 | 608 | 637 | 652 | 63 | 63 | 19 | 16 | 52 | 8 | 1 | 12.50% | 7 | 2 | 71.43% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 44.4% | 10.0% | 88.9% | 98.9 | FUN | |
3 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 8 | 14 | -6 | 1 | 0.167 | 8 | 14 | 22 | 0 | 0 | 59 | 52 | 53 | 8 | 82 | 608 | 637 | 652 | 63 | 128 | 27 | 40 | 88 | 3 | 2 | 66.67% | 20 | 8 | 60.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 9.8% | 89.1% | 98.8 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 59 | 52 | 53 | 8 | 27 | 608 | 637 | 652 | 63 | 38 | 9 | 8 | 22 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 11.1% | 94.7% | 105.8 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 59 | 52 | 53 | 8 | 29 | 608 | 637 | 652 | 63 | 33 | 12 | 4 | 29 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | nan% | 0.0% | 97.0% | 97.0 | DULL | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 59 | 52 | 53 | 8 | 65 | 608 | 637 | 652 | 63 | 69 | 22 | 10 | 45 | 12 | 3 | 25.00% | 5 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 33.3% | 6.2% | 97.1% | 103.3 | DULL | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 59 | 52 | 53 | 8 | 65 | 608 | 637 | 652 | 63 | 75 | 14 | 30 | 48 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 1 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 66.7% | 10.8% | 94.7% | 105.4 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 59 | 52 | 53 | 8 | 25 | 608 | 637 | 652 | 63 | 34 | 5 | 6 | 37 | 8 | 1 | 12.50% | 3 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 16.0% | 91.2% | 107.2 | LUCKY | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 59 | 52 | 53 | 8 | 39 | 608 | 637 | 652 | 63 | 36 | 9 | 8 | 29 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 25.0% | 5.1% | 91.7% | 96.8 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 59 | 52 | 53 | 8 | 22 | 608 | 637 | 652 | 63 | 35 | 13 | 6 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 25.0% | 4.5% | 88.6% | 93.1 | Unlucky | |
11 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 59 | 52 | 53 | 8 | 83 | 608 | 637 | 652 | 63 | 102 | 23 | 22 | 54 | 8 | 2 | 25.00% | 10 | 1 | 90.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 26.7% | 7.2% | 88.2% | 95.5 | Unlucky | |
12 | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 12 | 9 | 3 | 6 | 0.750 | 12 | 23 | 35 | 0 | 0 | 59 | 52 | 53 | 8 | 116 | 608 | 637 | 652 | 63 | 135 | 43 | 46 | 101 | 7 | 1 | 14.29% | 23 | 4 | 82.61% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 68.8% | 10.3% | 93.3% | 103.7 | LUCKY | |
13 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 59 | 52 | 53 | 8 | 87 | 608 | 637 | 652 | 63 | 88 | 24 | 26 | 82 | 8 | 1 | 12.50% | 12 | 3 | 75.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 40.0% | 5.7% | 89.8% | 95.5 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 59 | 52 | 53 | 8 | 31 | 608 | 637 | 652 | 63 | 27 | 10 | 8 | 26 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 80.0% | 16.1% | 88.9% | 105.0 | FUN | |
15 | 4 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 7 | 12 | -5 | 2 | 0.250 | 7 | 14 | 21 | 0 | 0 | 59 | 52 | 53 | 8 | 112 | 608 | 637 | 652 | 63 | 127 | 47 | 26 | 109 | 13 | 2 | 15.38% | 12 | 4 | 66.67% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 38.5% | 6.3% | 90.6% | 96.8 | Unlucky | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 59 | 52 | 53 | 8 | 27 | 608 | 637 | 652 | 63 | 41 | 12 | 8 | 24 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 37.5% | 11.1% | 87.8% | 98.9 | FUN | |
17 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 12 | -5 | 3 | 0.500 | 7 | 14 | 21 | 0 | 0 | 59 | 52 | 53 | 8 | 62 | 608 | 637 | 652 | 63 | 124 | 39 | 44 | 59 | 4 | 0 | 0.00% | 22 | 10 | 54.55% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 77.8% | 11.3% | 90.3% | 101.6 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 59 | 52 | 53 | 8 | 35 | 608 | 637 | 652 | 63 | 15 | 6 | 6 | 21 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 5.7% | 80.0% | 85.7 | Unlucky | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 59 | 52 | 53 | 8 | 24 | 608 | 637 | 652 | 63 | 34 | 5 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 20.0% | 8.3% | 88.2% | 96.6 | Unlucky | |
20 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 9 | 8 | 1 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 59 | 52 | 53 | 8 | 81 | 608 | 637 | 652 | 63 | 98 | 30 | 20 | 76 | 10 | 1 | 10.00% | 10 | 6 | 40.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 80.0% | 11.1% | 91.8% | 102.9 | LUCKY | |
21 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 59 | 52 | 53 | 8 | 28 | 608 | 637 | 652 | 63 | 39 | 13 | 14 | 24 | 3 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 7.1% | 92.3% | 99.5 | DULL | |
22 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 59 | 52 | 53 | 8 | 34 | 608 | 637 | 652 | 63 | 34 | 14 | 4 | 22 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 50.0% | 5.9% | 91.2% | 97.1 | DULL | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 59 | 52 | 53 | 8 | 48 | 608 | 637 | 652 | 63 | 58 | 22 | 14 | 46 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 83.3% | 12.5% | 96.6% | 109.1 | LUCKY | |
24 | 7 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 14 | 30 | -16 | 3 | 0.214 | 14 | 27 | 41 | 0 | 0 | 59 | 52 | 53 | 8 | 177 | 608 | 637 | 652 | 63 | 295 | 83 | 49 | 179 | 19 | 2 | 10.53% | 22 | 4 | 81.82% | 2 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 31.6% | 7.9% | 89.8% | 97.7 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 59 | 52 | 53 | 8 | 57 | 608 | 637 | 652 | 63 | 50 | 19 | 6 | 55 | 5 | 3 | 60.00% | 3 | 0 | 100.00% | 1 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 60.0% | 10.5% | 96.0% | 106.5 | LUCKY | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 59 | 52 | 53 | 8 | 32 | 608 | 637 | 652 | 63 | 26 | 7 | 0 | 34 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 75.0% | 9.4% | 96.2% | 105.5 | LUCKY | |
27 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 59 | 52 | 53 | 8 | 75 | 608 | 637 | 652 | 63 | 75 | 13 | 12 | 48 | 11 | 1 | 9.09% | 6 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 41.2% | 10.7% | 86.7% | 97.3 | FUN | |
28 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 20 | -6 | 2 | 0.250 | 14 | 23 | 37 | 1 | 0 | 59 | 52 | 53 | 8 | 126 | 608 | 637 | 652 | 63 | 159 | 46 | 56 | 68 | 12 | 4 | 33.33% | 19 | 5 | 73.68% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 40.0% | 11.1% | 87.4% | 98.5 | FUN | |
29 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 7 | 7 | 6 | 0.600 | 14 | 25 | 39 | 0 | 2 | 59 | 52 | 53 | 8 | 157 | 608 | 637 | 652 | 63 | 152 | 36 | 42 | 115 | 20 | 4 | 20.00% | 20 | 4 | 80.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 76.9% | 8.9% | 95.4% | 104.3 | Unlucky | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 59 | 52 | 53 | 8 | 45 | 608 | 637 | 652 | 63 | 29 | 8 | 4 | 35 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 60.0% | 6.7% | 93.1% | 99.8 | DULL | |
_Vs Division | 29 | 7 | 18 | 0 | 2 | 2 | 0 | 2 | 69 | 94 | -25 | 22 | 0.379 | 69 | 128 | 197 | 1 | 2 | 59 | 52 | 53 | 8 | 826 | 608 | 637 | 652 | 63 | 1021 | 299 | 265 | 691 | 90 | 15 | 16.67% | 118 | 25 | 78.81% | 2 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 43.9% | 8.4% | 90.8% | 99.1 | Unlucky | |
_Vs Conference | 49 | 18 | 23 | 0 | 3 | 2 | 0 | 3 | 119 | 145 | -26 | 47 | 0.480 | 119 | 221 | 340 | 2 | 3 | 59 | 52 | 53 | 8 | 1374 | 608 | 637 | 652 | 63 | 1685 | 492 | 437 | 1156 | 153 | 27 | 17.65% | 193 | 47 | 75.65% | 4 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 48.4% | 8.7% | 91.4% | 100.1 | DULL | |
_Since Last GM Reset | 68 | 22 | 32 | 0 | 4 | 4 | 1 | 5 | 169 | 211 | -42 | 63 | 0.463 | 169 | 309 | 478 | 2 | 3 | 59 | 52 | 53 | 8 | 1934 | 608 | 637 | 652 | 63 | 2343 | 666 | 581 | 1653 | 223 | 36 | 16.14% | 263 | 64 | 75.67% | 4 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 47.5% | 8.7% | 91.0% | 99.7 | Unlucky | |
Total | 68 | 22 | 32 | 0 | 4 | 4 | 1 | 5 | 169 | 211 | -42 | 63 | 0.463 | 169 | 309 | 478 | 2 | 3 | 59 | 52 | 53 | 8 | 1934 | 608 | 637 | 652 | 63 | 2343 | 666 | 581 | 1653 | 223 | 36 | 16.14% | 263 | 64 | 75.67% | 4 | 1040 | 2257 | 46.08% | 1207 | 2617 | 46.12% | 490 | 1067 | 45.92% | 1543 | 1012 | 1661 | 538 | 915 | 448 | 47.5% | 8.7% | 91.0% | 99.7 | Unlucky |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 2257 |
Neutral Zone Start | 1067 |
Defensive Zone Start | 2617 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 2737 |
Faceoffs Lost | 3204 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 18.3 | 20.31 |
3rd Period | 27.9 | 30.68 |
Overtime | 28.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 127 |
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PP Goal | 36 |
PK Goal | 4 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 13 |
Lost | 16 | 16 |
Overtime Lost | 3 | 6 |
PP Attempt | 223 |
---|---|
PP Goal | 36 |
PK Attempt | 263 |
PK Goal Against | 64 |
Home | |
---|---|
Shots For | 28.4 |
Shots Against | 34.5 |
Goals For | 2.5 |
Goals Against | 3.1 |
Hits | 24.3 |
Shots Blocked | 9.8 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Silver Knights2,Canucks1 | RECAP | |||||||||||
2024-10-11 | @ | Canucks4,Reign3 (OT) | RECAP | |||||||||||
2024-10-12 | @ | Canucks2,Gulls3 (SO) | RECAP | |||||||||||
2024-10-14 | @ | Admirals2,Canucks3 | RECAP | |||||||||||
2024-10-16 | @ | Barracuda4,Canucks7 | RECAP | |||||||||||
2024-10-18 | @ | Canucks0,Gulls3 | RECAP | |||||||||||
2024-10-21 | @ | Comets6,Canucks5 (OT) | RECAP | |||||||||||
2024-10-23 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
2024-10-26 | @ | Canucks2,Wild4 | RECAP | |||||||||||
2024-10-28 | @ | Reign1,Canucks2 (OT) | RECAP | |||||||||||
2024-10-29 | @ | Canucks2,Roadrunners7 | RECAP | |||||||||||
2024-11-01 | @ | Canucks4,Stars1 | RECAP | |||||||||||
2024-11-02 | @ | Gulls4,Canucks1 | RECAP | |||||||||||
2024-11-03 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
2024-11-06 | @ | Roadrunners2,Canucks3 | RECAP | |||||||||||
2024-11-07 | @ | Canucks1,Wranglers5 | RECAP | |||||||||||
2024-11-12 | @ | Moose1,Canucks3 | RECAP | |||||||||||
2024-11-14 | @ | Canucks1,Barracuda5 | RECAP | |||||||||||
2024-11-15 | @ | Reign2,Canucks4 | RECAP | |||||||||||
2024-11-18 | @ | Islanders1,Canucks0 | RECAP | |||||||||||
2024-11-22 | @ | Canucks1,Comets2 | RECAP | |||||||||||
2024-11-23 | @ | Wolf Pack3,Canucks4 | RECAP | |||||||||||
2024-11-25 | @ | IceHogs4,Canucks3 (SO) | RECAP | |||||||||||
2024-11-28 | @ | Canucks4,Gulls2 | RECAP | |||||||||||
2024-11-30 | @ | Marlies1,Canucks3 | RECAP | |||||||||||
2024-12-02 | @ | Canucks3,Senators2 | RECAP | |||||||||||
2024-12-04 | @ | Canucks2,Americans4 | RECAP | |||||||||||
2024-12-06 | @ | Canucks4,Eagles3 | RECAP | |||||||||||
2024-12-10 | @ | Gulls6,Canucks5 | RECAP | |||||||||||
2024-12-12 | @ | Canucks2,Reign3 | RECAP | |||||||||||
2024-12-14 | @ | Crunch3,Canucks5 | RECAP | |||||||||||
2024-12-16 | @ | Canucks4,IceHogs3 | RECAP | |||||||||||
2024-12-19 | @ | Canucks3,Thunderbirds5 | RECAP | |||||||||||
2024-12-22 | @ | Canucks3,Wild5 | RECAP | |||||||||||
2024-12-23 | @ | Eagles1,Canucks3 | RECAP | |||||||||||
2024-12-26 | @ | Canucks3,Firebirds2 | RECAP | |||||||||||
2024-12-27 | @ | Condors2,Canucks1 | RECAP | |||||||||||
2024-12-31 | @ | Canucks2,Condors3 (OT) | RECAP | |||||||||||
2025-01-02 | @ | Wolves0,Canucks1 | RECAP | |||||||||||
2025-01-04 | @ | Canucks3,Condors4 (OT) | RECAP | |||||||||||
2025-01-06 | @ | Admirals3,Canucks2 | RECAP | |||||||||||
2025-01-08 | @ | Canucks1,Wranglers3 | RECAP | |||||||||||
2025-01-11 | @ | Penguins7,Canucks4 | RECAP | |||||||||||
2025-01-13 | @ | Canucks2,Griffins3 (SO) | RECAP | |||||||||||
2025-01-16 | @ | Barracuda5,Canucks2 | RECAP | |||||||||||
2025-01-18 | @ | Canucks2,Checkers3 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Bears4,Canucks1 | RECAP | |||||||||||
2025-01-24 | @ | Canucks2,Bruins3 | RECAP | |||||||||||
2025-01-25 | @ | Wild3,Canucks1 | RECAP | |||||||||||
2025-01-28 | @ | Canucks2,Roadrunners3 (SO) | RECAP | |||||||||||
2025-01-29 | @ | Canucks4,Phantoms3 (SO) | RECAP | |||||||||||
2025-01-31 | @ | Silver Knights0,Canucks4 | RECAP | |||||||||||
2025-02-02 | @ | Canucks3,Wolves2 | RECAP | |||||||||||
2025-02-04 | @ | Penguins3,Canucks4 (OT) | RECAP | |||||||||||
2025-02-09 | @ | Silver Knights3,Canucks2 | RECAP | |||||||||||
2025-02-11 | @ | Canucks4,Barracuda6 | RECAP | |||||||||||
2025-02-14 | @ | Wranglers2,Canucks1 | RECAP | |||||||||||
2025-02-18 | @ | Condors3,Canucks1 | RECAP | |||||||||||
2025-02-20 | @ | Canucks2,Stars1 | RECAP | |||||||||||
2025-02-24 | @ | Wranglers4,Canucks2 | RECAP | |||||||||||
2025-02-26 | @ | Canucks0,Admirals4 | RECAP | |||||||||||
2025-02-28 | @ | Monsters3,Canucks2 (OT) | RECAP | |||||||||||
2025-03-03 | @ | Phantoms4,Canucks1 | RECAP | |||||||||||
2025-03-05 | @ | Canucks2,Silver Knights0 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Comets6,Canucks2 | RECAP | |||||||||||
2025-03-12 | @ | Canucks3,Moose1 | RECAP | |||||||||||
2025-03-14 | @ | IceHogs1,Canucks2 (OT) | RECAP | |||||||||||
2025-03-16 | @ | Canucks5,Silver Knights2 | RECAP | |||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-28 | @ | |||||||||||||
2025-04-03 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,550,306$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Abbotsford | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 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 |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,550,306$ | 2,550,306$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,925,866$ | 14,013$ | 2,024,738$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 19,507$ | 351,126$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
351,126$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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