| Abbotsford Canucks 7-13-2, 16pts · 15th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Cristall (R) | 0 | LW | 100.00 | 67 | 39 | 79 | 64 | 69 | 70 | 86 | 61 | 42 | 64 | 62 | 64 | 63 | 58 | 56 | 0 | 34 | 72 | 20 | 841,666$/3yrs | |||
Arthur Kaliyev | 0 | LW/RW | 100.00 | 63 | 33 | 91 | 63 | 83 | 75 | 75 | 60 | 55 | 60 | 65 | 53 | 62 | 64 | 63 | 0 | 24 | 71 | 24 | 900,000$/1yrs | |||
Michael Misa (R) | 0 | C/LW | 100.00 | 69 | 39 | 76 | 64 | 73 | 68 | 89 | 60 | 61 | 61 | 63 | 61 | 62 | 54 | 52 | 0 | 35 | 71 | 18 | 975,000$/3yrs | |||
Tyson Jost | 0 | C/LW | 100.00 | 69 | 35 | 82 | 55 | 72 | 73 | 78 | 58 | 74 | 58 | 59 | 60 | 59 | 70 | 68 | 0 | 27 | 69 | 27 | 800,000$/2yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 67 | 39 | 79 | 54 | 76 | 65 | 69 | 64 | 36 | 54 | 56 | 67 | 55 | 68 | 66 | 0 | 35 | 69 | 26 | 800,000$/1yrs | |||
Wilmer Skoog | 0 | LW | 100.00 | 60 | 39 | 91 | 57 | 78 | 66 | 74 | 62 | 39 | 50 | 64 | 65 | 57 | 64 | 64 | 0 | 35 | 69 | 26 | 870,000$/1yrs | |||
Benoit-Olivier Groulx | 0 | C/LW | 100.00 | 82 | 33 | 83 | 55 | 80 | 76 | 72 | 51 | 75 | 54 | 50 | 72 | 50 | 67 | 65 | 0 | 35 | 68 | 25 | 850,000$/3yrs | |||
Jacob Perreault | 0 | C/RW | 100.00 | 79 | 41 | 60 | 55 | 76 | 64 | 67 | 61 | 41 | 56 | 54 | 64 | 55 | 63 | 59 | 0 | 35 | 68 | 23 | 900,000$/3yrs | |||
Navrin Mutter | 0 | LW | 100.00 | 99 | 45 | 50 | 52 | 83 | 62 | 65 | 63 | 42 | 53 | 51 | 66 | 52 | 64 | 59 | 0 | 35 | 68 | 24 | 800,000$/2yrs | |||
Skyler Brind'Amour | 0 | C | 100.00 | 63 | 39 | 86 | 53 | 78 | 64 | 68 | 64 | 38 | 52 | 55 | 68 | 54 | 68 | 66 | 0 | 35 | 68 | 26 | 800,000$/2yrs | |||
Borya Valis | 0 | C/RW | 100.00 | 70 | 40 | 75 | 59 | 77 | 66 | 89 | 55 | 41 | 58 | 58 | 64 | 58 | 59 | 57 | 0 | 35 | 68 | 21 | 872,500$/3yrs | |||
Dylan Wendt | 0 | RW | 100.00 | 57 | 38 | 95 | 54 | 74 | 63 | 65 | 62 | 45 | 54 | 54 | 66 | 54 | 64 | 64 | 0 | 35 | 67 | 24 | 870,000$/1yrs | |||
Justin Ertel (R) | 0 | LW | 100.00 | 69 | 40 | 75 | 55 | 75 | 63 | 65 | 60 | 44 | 56 | 52 | 64 | 54 | 61 | 58 | 0 | 30 | 67 | 22 | 900,000$/3yrs | |||
Andy Welinski | 45 | D | 100.00 | 61 | 39 | 89 | 47 | 79 | 64 | 81 | 46 | 30 | 53 | 49 | 72 | 51 | 75 | 74 | 0 | 24 | 67 | 32 | 800,000$/2yrs | |||
Michael Karow | 0 | D | 100.00 | 72 | 41 | 72 | 49 | 83 | 64 | 66 | 48 | 30 | 54 | 51 | 69 | 53 | 70 | 67 | 0 | 19 | 67 | 26 | 800,000$/2yrs | |||
Braden Hache (R) | 0 | D | 100.00 | 99 | 46 | 50 | 50 | 84 | 63 | 66 | 49 | 30 | 55 | 53 | 64 | 54 | 61 | 56 | 0 | 35 | 67 | 22 | 800,000$/2yrs | |||
William Trudeau (R) | 0 | D | 100.00 | 73 | 41 | 70 | 49 | 80 | 63 | 67 | 49 | 30 | 55 | 53 | 65 | 54 | 63 | 60 | 0 | 35 | 66 | 23 | 950,000$/3yrs | |||
Artem Grushnikov (R) | 0 | D | 100.00 | 75 | 40 | 75 | 57 | 78 | 64 | 80 | 54 | 30 | 50 | 46 | 63 | 56 | 57 | 55 | 0 | 36 | 66 | 22 | 814,167$/1yrs | |||
Daniel Laatsch | 0 | D | 100.00 | 53 | 38 | 96 | 51 | 78 | 63 | 79 | 51 | 30 | 53 | 53 | 65 | 53 | 63 | 62 | 0 | 35 | 66 | 23 | 860,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Filip Engaras | 0 | C | 100.00 | 61 | 39 | 89 | 52 | 79 | 64 | 67 | 64 | 72 | 53 | 53 | 68 | 53 | 68 | 67 | 0 | 20 | 68 | 26 | 800,000$/1yrs | |||
Patrick Giles | 0 | C/RW | 100.00 | 70 | 33 | 99 | 55 | 83 | 71 | 68 | 50 | 71 | 50 | 57 | 58 | 54 | 66 | 66 | 0 | 20 | 66 | 25 | 800,000$/2yrs | |||
Graham McPhee | 0 | LW | 100.00 | 74 | 40 | 68 | 48 | 75 | 60 | 78 | 64 | 36 | 48 | 48 | 67 | 48 | 66 | 63 | 0 | 20 | 65 | 27 | 800,000$/1yrs | |||
Raphael Lavoie | 0 | RW | 100.00 | 77 | 33 | 91 | 55 | 81 | 70 | 67 | 50 | 30 | 50 | 50 | 51 | 50 | 65 | 64 | 0 | 20 | 64 | 25 | 800,000$/1yrs | |||
Christian Felton | 0 | RW | 100.00 | 54 | 37 | 94 | 55 | 65 | 66 | 82 | 54 | 30 | 50 | 49 | 65 | 57 | 65 | 64 | 0 | 20 | 64 | 25 | 800,000$/2yrs | |||
Joseph Cecconi | 0 | D | 100.00 | 72 | 41 | 71 | 49 | 86 | 64 | 66 | 48 | 30 | 55 | 51 | 70 | 53 | 71 | 69 | 0 | 20 | 68 | 28 | 800,000$/1yrs | |||
Santtu Kinnunen | 0 | D | 100.00 | 62 | 38 | 87 | 50 | 68 | 63 | 89 | 48 | 30 | 56 | 50 | 66 | 53 | 64 | 63 | 0 | 20 | 66 | 26 | 850,000$/1yrs | |||
Djibril Toure | 0 | D | 100.00 | 87 | 43 | 50 | 47 | 87 | 62 | 65 | 47 | 30 | 53 | 52 | 64 | 52 | 61 | 56 | 0 | 33 | 65 | 22 | 805,000$/1yrs | |||
Cooper Zech | 0 | D | 100.00 | 61 | 37 | 89 | 43 | 61 | 59 | 67 | 42 | 30 | 47 | 48 | 67 | 47 | 66 | 65 | 0 | 20 | 62 | 26 | 800,000$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kyle Keyser | 38 | 100.00 | 72 | 73 | 70 | 74 | 74 | 75 | 73 | 72 | 75 | 74 | 73 | 65 | 66 | 0 | 35 | 77 | 26 | 800,000$/2yrs |
Devin Cooley | 0 | 100.00 | 60 | 62 | 66 | 81 | 53 | 60 | 60 | 61 | 60 | 63 | 60 | 71 | 74 | 0 | 22 | 68 | 28 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Clay Stevenson | 0 | 100.00 | 60 | 60 | 65 | 81 | 53 | 60 | 60 | 60 | 60 | 63 | 60 | 68 | 71 | 0 | 39 | 67 | 26 | 850,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Benoit Groulx | 59 | 63 | 68 | 72 | 83 | 78 | 68 | CAN | 57 | 4 | 1,000,000$ |
| General Manager |
|---|
| 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 | Michael Misa | C/LW | 22 | 7 | 12 | 19 | 3 | 20 | 0 | 46 | 82 | 21 | 54 | 8.54% | 3 | 19.40 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 47 | 0 | 0 | 49.09% | 440 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | ||
| 2 | Jake Leschyshyn | C | 21 | 4 | 12 | 16 | 5 | 6 | 0 | 24 | 41 | 16 | 41 | 9.76% | 2 | 15.65 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 34 | 0 | 1 | 42.38% | 387 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | ||
| 3 | Benoit-Olivier Groulx | C/LW | 22 | 7 | 7 | 14 | 3 | 14 | 0 | 45 | 35 | 11 | 28 | 20.00% | 4 | 13.00 | 0 | 3 | 3 | 27 | 0 | 0 | 0 | 11 | 1 | 0 | 53.15% | 111 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
| 4 | Andrew Cristall | LW | 22 | 9 | 4 | 13 | -12 | 14 | 0 | 31 | 62 | 15 | 61 | 14.52% | 3 | 20.63 | 3 | 1 | 4 | 58 | 0 | 0 | 0 | 45 | 2 | 0 | 44.97% | 189 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 5 | Wilmer Skoog | LW | 22 | 5 | 7 | 12 | -3 | 2 | 0 | 12 | 54 | 17 | 41 | 9.26% | 2 | 16.72 | 1 | 2 | 3 | 43 | 0 | 0 | 0 | 21 | 0 | 0 | 39.47% | 38 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | ||
| 6 | William Trudeau | D | 22 | 2 | 9 | 11 | -2 | 4 | 0 | 13 | 18 | 8 | 12 | 11.11% | 30 | 21.42 | 2 | 0 | 2 | 52 | 0 | 0 | 0 | 59 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 7 | Braden Hache | D | 22 | 2 | 8 | 10 | -5 | 30 | 0 | 128 | 27 | 8 | 11 | 7.41% | 17 | 22.27 | 2 | 3 | 5 | 55 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 8 | Jacob Perreault | C/RW | 22 | 1 | 6 | 7 | -10 | 14 | 0 | 45 | 67 | 18 | 20 | 1.49% | 6 | 15.52 | 1 | 2 | 3 | 53 | 0 | 0 | 0 | 12 | 0 | 0 | 43.14% | 204 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 9 | Skyler Brind'Amour | C | 22 | 4 | 2 | 6 | 0 | 2 | 0 | 8 | 44 | 8 | 24 | 9.09% | 2 | 13.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 10 | Artem Grushnikov | D | 22 | 1 | 5 | 6 | -6 | 25 | 5 | 67 | 19 | 5 | 15 | 5.26% | 27 | 19.05 | 0 | 1 | 1 | 47 | 0 | 0 | 0 | 35 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 11 | Andy Welinski | D | 13 | 3 | 2 | 5 | -2 | 8 | 0 | 11 | 13 | 2 | 3 | 23.08% | 16 | 23.46 | 2 | 0 | 2 | 28 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 12 | Tyson Jost | C/LW | 17 | 1 | 3 | 4 | 3 | 0 | 0 | 8 | 20 | 3 | 7 | 5.00% | 0 | 7.40 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 26 | 1 | 0 | 54.88% | 82 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 13 | Arthur Kaliyev | LW/RW | 13 | 0 | 4 | 4 | -2 | 0 | 0 | 6 | 36 | 5 | 16 | 0.00% | 0 | 17.15 | 0 | 1 | 1 | 34 | 0 | 0 | 0 | 7 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 14 | Djibril Toure | D | 18 | 0 | 4 | 4 | -7 | 20 | 0 | 57 | 9 | 3 | 12 | 0.00% | 23 | 17.72 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 15 | Dylan Wendt | RW | 22 | 3 | 1 | 4 | -9 | 0 | 0 | 4 | 41 | 10 | 30 | 7.32% | 3 | 10.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 16 | Justin Ertel | LW | 16 | 2 | 1 | 3 | -2 | 0 | 0 | 13 | 10 | 5 | 11 | 20.00% | 0 | 5.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 17 | Navrin Mutter | LW | 20 | 1 | 1 | 2 | -4 | 8 | 0 | 23 | 14 | 6 | 14 | 7.14% | 0 | 6.12 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 18 | Daniel Laatsch | D | 21 | 0 | 2 | 2 | -4 | 2 | 0 | 4 | 10 | 4 | 5 | 0.00% | 29 | 16.80 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
| 19 | Borya Valis | C/RW | 21 | 0 | 2 | 2 | -2 | 2 | 0 | 20 | 30 | 2 | 11 | 0.00% | 0 | 4.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.25% | 122 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 20 | Cooper Zech | D | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0.00% | 5 | 18.00 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Raphael Lavoie | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 6.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Christian Felton | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 20.93 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 387 | 52 | 92 | 144 | -57 | 171 | 5 | 567 | 638 | 168 | 419 | 8.15% | 172 | 15.19 | 11 | 20 | 31 | 517 | 0 | 0 | 0 | 469 | 7 | 2 | 45.26% | 1626 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Kyle Keyser | 12 | 4 | 6 | 1 | 0.892 | 3.51 | 684 | 2 | 0 | 40 | 370 | 0 | 0 | 0 | 0.000 | 0 | 12 | 0 | 0 | 0 | 0 | |
| 2 | Devin Cooley | 10 | 3 | 6 | 1 | 0.901 | 3.44 | 540 | 2 | 1 | 31 | 312 | 0 | 0 | 0 | 0.000 | 0 | 10 | 3 | 1 | 2 | 0 | |
| 3 | Clay Stevenson | 3 | 0 | 1 | 0 | 0.929 | 2.45 | 98 | 2 | 0 | 4 | 56 | 0 | 0 | 0 | 0.000 | 0 | 0 | 19 | 0 | 0 | 0 | |
| Team Total or Average | 25 | 7 | 13 | 2 | 0.898 | 3.40 | 1323 | 6 | 1 | 75 | 738 | 0 | 0 | 0 | 0.000 | 0 | 22 | 22 | 1 | 2 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Cristall | LW | 20 | 841,666$ | 841,666$ | 841,666$ | 841,666$ | RFA | ||||
| Andy Welinski | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Artem Grushnikov | D | 22 | 814,167$ | 814,167$ | RFA | ||||||
| Arthur Kaliyev | LW/RW | 24 | 900,000$ | 900,000$ | |||||||
| Benoit-Olivier Groulx | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
| Borya Valis | C/RW | 21 | 872,500$ | 872,500$ | 872,500$ | 872,500$ | RFA | ||||
| Braden Hache | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Christian Felton | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Clay Stevenson | G | 26 | 850,000$ | 850,000$ | |||||||
| Cooper Zech | D | 26 | 800,000$ | 800,000$ | |||||||
| Daniel Laatsch | D | 23 | 860,000$ | 860,000$ | 860,000$ | ||||||
| Devin Cooley | G | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Djibril Toure | D | 22 | 805,000$ | 805,000$ | RFA | ||||||
| Dylan Wendt | RW | 24 | 870,000$ | 870,000$ | |||||||
| Filip Engaras | C | 26 | 800,000$ | 800,000$ | |||||||
| Graham McPhee | LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Jacob Perreault | C/RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Jake Leschyshyn | C | 26 | 800,000$ | 800,000$ | |||||||
| Joseph Cecconi | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Justin Ertel | LW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Kyle Keyser | G | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Michael Karow | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Michael Misa | C/LW | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Navrin Mutter | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Patrick Giles | C/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Raphael Lavoie | RW | 25 | 800,000$ | 800,000$ | |||||||
| Santtu Kinnunen | D | 26 | 850,000$ | 850,000$ | |||||||
| Skyler Brind'Amour | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Tyson Jost | C/LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| William Trudeau | D | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
| Wilmer Skoog | LW | 26 | 870,000$ | 870,000$ |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 17 | 25 | 13 | 2 | 61 | 226 | 239 | 228 | 7 | 72 | 24 | 20 | 55 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 50.0% | 6.6% | 90.3% | 96.8 | Unlucky | |
| 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 17 | 25 | 13 | 2 | 37 | 226 | 239 | 228 | 7 | 27 | 9 | 10 | 34 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 60.0% | 10.8% | 88.9% | 99.7 | FUN | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 17 | 25 | 13 | 2 | 43 | 226 | 239 | 228 | 7 | 34 | 6 | 6 | 22 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 50.0% | 4.7% | 88.2% | 92.9 | Unlucky | |
| 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 17 | 25 | 13 | 2 | 25 | 226 | 239 | 228 | 7 | 36 | 6 | 10 | 26 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 0.0% | 4.0% | 94.4% | 98.4 | DULL | |
| 5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 17 | 25 | 13 | 2 | 89 | 226 | 239 | 228 | 7 | 87 | 28 | 30 | 76 | 6 | 2 | 33.33% | 15 | 2 | 86.67% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 75.0% | 9.0% | 95.4% | 104.4 | LUCKY | |
| 6 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 13 | 11 | 2 | 5 | 0.833 | 13 | 24 | 37 | 0 | 0 | 17 | 25 | 13 | 2 | 109 | 226 | 239 | 228 | 7 | 93 | 26 | 32 | 74 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 55.0% | 11.9% | 88.2% | 100.1 | FUN | |
| 7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 17 | 25 | 13 | 2 | 85 | 226 | 239 | 228 | 7 | 124 | 20 | 19 | 88 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 9.1% | 4.7% | 91.1% | 95.8 | Unlucky | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 25 | 13 | 2 | 33 | 226 | 239 | 228 | 7 | 37 | 9 | 12 | 26 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 60.0% | 9.1% | 86.5% | 95.6 | FUN | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 17 | 25 | 13 | 2 | 46 | 226 | 239 | 228 | 7 | 31 | 5 | 6 | 37 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 57.1% | 8.7% | 90.3% | 99.0 | Unlucky | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 17 | 25 | 13 | 2 | 41 | 226 | 239 | 228 | 7 | 67 | 23 | 22 | 51 | 3 | 1 | 33.33% | 11 | 1 | 90.91% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 10.0% | 4.9% | 85.1% | 90.0 | Unlucky | |
| 11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 17 | 25 | 13 | 2 | 34 | 226 | 239 | 228 | 7 | 33 | 7 | 6 | 24 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 44.4% | 11.8% | 81.8% | 93.6 | FUN | |
| 12 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 17 | 25 | 13 | 2 | 97 | 226 | 239 | 228 | 7 | 97 | 20 | 10 | 78 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 42.9% | 8.2% | 90.7% | 99.0 | Unlucky | |
| _Vs Division | 14 | 4 | 11 | 0 | 1 | 1 | 0 | 0 | 39 | 47 | -8 | 11 | 0.393 | 39 | 69 | 108 | 0 | 1 | 17 | 25 | 13 | 2 | 431 | 226 | 239 | 228 | 7 | 449 | 128 | 120 | 358 | 42 | 7 | 16.67% | 57 | 10 | 82.46% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 46.4% | 9.0% | 89.5% | 98.6 | FUN | |
| _Vs Conference | 18 | 4 | 11 | 0 | 1 | 2 | 0 | 0 | 44 | 60 | -16 | 12 | 0.333 | 44 | 79 | 123 | 0 | 1 | 17 | 25 | 13 | 2 | 541 | 226 | 239 | 228 | 7 | 609 | 154 | 149 | 472 | 56 | 11 | 19.64% | 68 | 11 | 83.82% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 40.2% | 8.1% | 90.1% | 98.3 | Unlucky | |
| _Since Last GM Reset | 22 | 5 | 13 | 0 | 2 | 2 | 0 | 0 | 57 | 75 | -18 | 16 | 0.364 | 57 | 101 | 158 | 0 | 1 | 17 | 25 | 13 | 2 | 700 | 226 | 239 | 228 | 7 | 738 | 183 | 183 | 591 | 69 | 12 | 17.39% | 84 | 17 | 79.76% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 43.7% | 8.1% | 89.8% | 98.0 | Unlucky | |
| Total | 22 | 5 | 13 | 0 | 2 | 2 | 0 | 0 | 57 | 75 | -18 | 16 | 0.364 | 57 | 101 | 158 | 0 | 1 | 17 | 25 | 13 | 2 | 700 | 226 | 239 | 228 | 7 | 738 | 183 | 183 | 591 | 69 | 12 | 17.39% | 84 | 17 | 79.76% | 0 | 349 | 780 | 44.74% | 392 | 804 | 48.76% | 180 | 363 | 49.59% | 497 | 326 | 531 | 172 | 298 | 145 | 43.7% | 8.1% | 89.8% | 98.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 780 |
| Neutral Zone Start | 363 |
| Defensive Zone Start | 804 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 921 |
| Faceoffs Lost | 1026 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 21.1 | 20.31 |
| 3rd Period | 31.5 | 30.68 |
| Overtime | 31.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 45 |
|---|---|
| PP Goal | 12 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 1 |
| Lost | 3 | 10 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 69 |
|---|---|
| PP Goal | 12 |
| PK Attempt | 84 |
| PK Goal Against | 17 |
| Home | |
|---|---|
| Shots For | 31.8 |
| Shots Against | 33.5 |
| Goals For | 2.6 |
| Goals Against | 3.4 |
| Hits | 26.9 |
| Shots Blocked | 8.3 |
| Pim | 8.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Canucks2,Wranglers4 | RECAP | |||||||||||
| 2025-10-10 | @ | Canucks0,Reign2 | RECAP | |||||||||||
| 2025-10-12 | @ | Condors4,Canucks5 (OT) | RECAP | |||||||||||
| 2025-10-16 | @ | Canucks1,Gulls4 | RECAP | |||||||||||
| 2025-10-17 | @ | Reign2,Canucks4 | RECAP | |||||||||||
| 2025-10-20 | @ | Silver Knights1,Canucks4 | RECAP | |||||||||||
| 2025-10-21 | @ | Canucks4,Barracuda6 | RECAP | |||||||||||
| 2025-10-22 | @ | Canucks1,Silver Knights4 | RECAP | |||||||||||
| 2025-10-23 | @ | Canucks0,Roadrunners3 | RECAP | |||||||||||
| 2025-10-25 | @ | Roadrunners4,Canucks3 | RECAP | |||||||||||
| 2025-10-29 | @ | Senators3,Canucks4 (OT) | RECAP | |||||||||||
| 2025-10-31 | @ | Canucks5,Condors6 (OT) | RECAP | |||||||||||
| 2025-11-01 | @ | Wranglers3,Canucks2 | RECAP | |||||||||||
| 2025-11-05 | @ | Canucks3,Silver Knights4 | RECAP | |||||||||||
| 2025-11-08 | @ | Condors1,Canucks3 | RECAP | |||||||||||
| 2025-11-10 | @ | Canucks1,Roadrunners4 | RECAP | |||||||||||
| 2025-11-12 | @ | Canucks2,Islanders4 | RECAP | |||||||||||
| 2025-11-13 | @ | Checkers3,Canucks4 | RECAP | |||||||||||
| 2025-11-16 | @ | Canucks4,Reign0 | RECAP | |||||||||||
| 2025-11-18 | @ | Wolves2,Canucks1 (OT) | RECAP | |||||||||||
| 2025-11-20 | @ | Canucks1,Gulls6 | RECAP | |||||||||||
| 2025-11-22 | @ | Bruins5,Canucks3 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,265,834$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| 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 |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,265,834$ | 2,265,834$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 904,125$ | 12,588$ | 620,781$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 18,144$ | 2,340,576$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,340,576$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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