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Full Scoreboard »» |
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Full Scoreboard »» |
| Abbotsford Canucks 16-26-2, 34pts · 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arthur Kaliyev | 0 | LW/RW | 98.00 | 60 | 33 | 95 | 64 | 83 | 73 | 68 | 60 | 55 | 59 | 67 | 49 | 64 | 65 | 65 | 0 | 26 | 72 | 24 | 900,000$/1yrs | |||
Benoit-Olivier Groulx | 0 | C/LW | 100.00 | 70 | 40 | 74 | 62 | 80 | 69 | 83 | 60 | 64 | 61 | 62 | 64 | 62 | 63 | 60 | 0 | 38 | 71 | 25 | 850,000$/3yrs | |||
Raphael Lavoie | 0 | RW | 100.00 | 70 | 41 | 74 | 61 | 87 | 68 | 79 | 60 | 72 | 59 | 64 | 64 | 61 | 63 | 60 | 0 | 20 | 71 | 25 | 800,000$/1yrs | |||
Andrew Cristall (R) | 0 | LW | 99.00 | 60 | 38 | 91 | 65 | 69 | 67 | 71 | 65 | 46 | 69 | 56 | 58 | 62 | 54 | 53 | 0 | 36 | 71 | 20 | 841,666$/3yrs | |||
Michael Misa (R) | 0 | C/LW | 98.00 | 69 | 39 | 76 | 64 | 73 | 68 | 89 | 60 | 61 | 61 | 63 | 61 | 62 | 54 | 52 | 0 | 37 | 71 | 18 | 975,000$/3yrs | |||
Tyson Jost | 0 | C/LW | 100.00 | 70 | 36 | 77 | 56 | 72 | 73 | 79 | 59 | 73 | 60 | 61 | 60 | 60 | 71 | 69 | 0 | 30 | 70 | 27 | 800,000$/2yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 63 | 39 | 85 | 56 | 73 | 65 | 87 | 62 | 72 | 54 | 58 | 65 | 56 | 64 | 63 | 0 | 37 | 69 | 26 | 800,000$/1yrs | |||
Skyler Brind'Amour | 0 | C | 100.00 | 66 | 39 | 81 | 56 | 71 | 65 | 88 | 62 | 66 | 54 | 58 | 65 | 56 | 64 | 63 | 0 | 37 | 69 | 26 | 800,000$/2yrs | |||
Wilmer Skoog | 0 | LW | 100.00 | 70 | 40 | 74 | 56 | 78 | 65 | 89 | 62 | 39 | 57 | 56 | 65 | 57 | 64 | 62 | 0 | 37 | 69 | 26 | 870,000$/1yrs | |||
Jacob Perreault | 0 | C/RW | 100.00 | 70 | 40 | 73 | 57 | 74 | 63 | 78 | 59 | 48 | 57 | 54 | 62 | 55 | 59 | 56 | 0 | 34 | 67 | 23 | 900,000$/3yrs | |||
Navrin Mutter | 0 | LW | 100.00 | 99 | 45 | 50 | 53 | 83 | 61 | 78 | 61 | 39 | 53 | 51 | 64 | 52 | 61 | 56 | 0 | 37 | 67 | 24 | 800,000$/2yrs | |||
Patrick Giles | 0 | C/RW | 100.00 | 70 | 33 | 99 | 55 | 83 | 70 | 69 | 51 | 73 | 55 | 56 | 59 | 53 | 68 | 68 | 0 | 20 | 67 | 26 | 800,000$/2yrs | |||
Dylan Wendt | 0 | RW | 100.00 | 55 | 37 | 99 | 54 | 74 | 62 | 70 | 60 | 40 | 54 | 52 | 64 | 53 | 61 | 61 | 0 | 37 | 66 | 25 | 870,000$/1yrs | |||
Andy Welinski | 45 | D | 99.00 | 61 | 39 | 89 | 47 | 79 | 64 | 81 | 46 | 30 | 53 | 49 | 72 | 51 | 75 | 74 | 0 | 26 | 67 | 32 | 800,000$/2yrs | |||
Michael Karow | 0 | D | 100.00 | 70 | 40 | 75 | 50 | 80 | 64 | 89 | 48 | 30 | 55 | 51 | 67 | 53 | 66 | 64 | 0 | 24 | 67 | 27 | 800,000$/2yrs | |||
William Trudeau (R) | 0 | D | 100.00 | 72 | 40 | 71 | 51 | 74 | 63 | 86 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 56 | 0 | 37 | 67 | 23 | 950,000$/3yrs | |||
Artem Grushnikov (R) | 0 | D | 100.00 | 75 | 40 | 75 | 57 | 78 | 64 | 80 | 54 | 30 | 50 | 46 | 63 | 56 | 57 | 55 | 0 | 38 | 66 | 22 | 814,167$/1yrs | |||
Braden Hache (R) | 0 | D | 100.00 | 95 | 44 | 50 | 49 | 84 | 62 | 80 | 48 | 30 | 54 | 52 | 62 | 53 | 57 | 52 | 0 | 39 | 66 | 22 | 800,000$/2yrs | |||
Daniel Laatsch | 0 | D | 100.00 | 53 | 38 | 96 | 51 | 78 | 63 | 79 | 51 | 30 | 53 | 53 | 65 | 53 | 63 | 62 | 0 | 37 | 66 | 23 | 860,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Filip Engaras | 0 | C | 100.00 | 63 | 39 | 87 | 53 | 79 | 63 | 77 | 62 | 74 | 55 | 52 | 66 | 53 | 64 | 63 | 0 | 20 | 67 | 26 | 800,000$/1yrs | |||
Justin Ertel (R) | 0 | LW | 100.00 | 67 | 39 | 79 | 55 | 75 | 62 | 75 | 58 | 39 | 55 | 52 | 62 | 54 | 57 | 55 | 0 | 24 | 66 | 22 | 900,000$/3yrs | |||
Borya Valis | 0 | C/RW | 100.00 | 71 | 40 | 72 | 57 | 77 | 63 | 72 | 57 | 60 | 53 | 57 | 60 | 55 | 56 | 53 | 0 | 30 | 66 | 21 | 872,500$/3yrs | |||
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$/1yrs | |||
Christian Felton | 0 | RW | 100.00 | 54 | 37 | 94 | 55 | 65 | 66 | 82 | 54 | 30 | 50 | 49 | 65 | 57 | 65 | 64 | 0 | 20 | 64 | 25 | 800,000$/2yrs | |||
Joel Nystrom (R) | 0 | D | 100.00 | 57 | 32 | 94 | 59 | 66 | 81 | 71 | 54 | 30 | 65 | 50 | 56 | 52 | 64 | 63 | 0 | 32 | 70 | 23 | ||||
Joseph Cecconi | 0 | D | 100.00 | 69 | 40 | 76 | 50 | 84 | 64 | 83 | 49 | 30 | 56 | 51 | 68 | 53 | 68 | 66 | 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 | 91 | 44 | 50 | 48 | 87 | 61 | 78 | 47 | 30 | 53 | 51 | 62 | 52 | 57 | 52 | 0 | 20 | 65 | 22 | 805,000$/1yrs | |||
Cooper Zech | 0 | D | 100.00 | 61 | 37 | 89 | 43 | 61 | 59 | 67 | 42 | 30 | 47 | 48 | 67 | 47 | 66 | 65 | 0 | 19 | 62 | 27 | 800,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devin Cooley | 0 | 100.00 | 81 | 66 | 68 | 81 | 81 | 72 | 81 | 79 | 83 | 79 | 81 | 73 | 77 | 0 | 31 | 81 | 28 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Kyle Keyser | 38 | 95.00 | 72 | 73 | 70 | 74 | 74 | 75 | 73 | 72 | 75 | 74 | 73 | 65 | 66 | 0 | 35 | 77 | 26 | 800,000$/2yrs |
Clay Stevenson | 0 | 100.00 | 69 | 75 | 68 | 80 | 65 | 76 | 70 | 69 | 76 | 75 | 71 | 65 | 66 | 0 | 28 | 76 | 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 | 44 | 17 | 18 | 35 | -5 | 26 | 0 | 100 | 154 | 35 | 108 | 11.04% | 13 | 20.63 | 3 | 4 | 7 | 108 | 0 | 1 | 1 | 124 | 4 | 0 | 48.36% | 1160 | 0 | 0 | 0 | 0 | 0.77 | 0 | 1 | ||
| 2 | Jake Leschyshyn | C | 43 | 8 | 19 | 27 | 2 | 14 | 0 | 33 | 91 | 33 | 87 | 8.79% | 7 | 17.54 | 1 | 5 | 6 | 89 | 1 | 0 | 1 | 85 | 0 | 1 | 45.10% | 887 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 3 | Andrew Cristall | LW | 44 | 13 | 12 | 25 | -21 | 26 | 0 | 59 | 141 | 29 | 115 | 9.22% | 16 | 21.08 | 5 | 5 | 10 | 129 | 1 | 0 | 1 | 117 | 2 | 1 | 43.29% | 231 | 0 | 0 | 0 | 0 | 0.54 | 1 | 2 | ||
| 4 | Wilmer Skoog | LW | 44 | 9 | 14 | 23 | -5 | 4 | 0 | 33 | 120 | 40 | 96 | 7.50% | 6 | 17.73 | 2 | 6 | 8 | 105 | 0 | 1 | 1 | 62 | 0 | 0 | 37.10% | 62 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 5 | Benoit-Olivier Groulx | C/LW | 44 | 9 | 11 | 20 | 0 | 37 | 5 | 96 | 78 | 20 | 52 | 11.54% | 6 | 14.29 | 0 | 3 | 3 | 31 | 0 | 0 | 0 | 14 | 1 | 0 | 55.30% | 132 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 6 | Jacob Perreault | C/RW | 44 | 9 | 7 | 16 | -15 | 35 | 5 | 85 | 123 | 35 | 60 | 7.32% | 10 | 15.05 | 3 | 3 | 6 | 115 | 0 | 0 | 0 | 13 | 0 | 0 | 43.83% | 527 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 7 | William Trudeau | D | 44 | 4 | 12 | 16 | -5 | 6 | 0 | 18 | 30 | 13 | 27 | 13.33% | 58 | 21.16 | 3 | 1 | 4 | 117 | 0 | 1 | 1 | 123 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 8 | Braden Hache | D | 44 | 2 | 14 | 16 | -10 | 76 | 10 | 220 | 41 | 13 | 30 | 4.88% | 51 | 22.03 | 2 | 7 | 9 | 119 | 0 | 0 | 0 | 95 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 9 | Artem Grushnikov | D | 44 | 2 | 12 | 14 | -8 | 49 | 5 | 134 | 53 | 10 | 30 | 3.77% | 57 | 18.99 | 1 | 2 | 3 | 110 | 0 | 0 | 0 | 61 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 10 | Tyson Jost | C/LW | 39 | 4 | 9 | 13 | 0 | 14 | 0 | 29 | 68 | 17 | 35 | 5.88% | 4 | 10.66 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 49 | 1 | 0 | 54.55% | 110 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 11 | Andy Welinski | D | 35 | 4 | 7 | 11 | -13 | 12 | 0 | 23 | 35 | 10 | 21 | 11.43% | 43 | 23.41 | 2 | 1 | 3 | 92 | 0 | 0 | 0 | 104 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | ||
| 12 | Arthur Kaliyev | LW/RW | 35 | 2 | 9 | 11 | -14 | 4 | 0 | 21 | 89 | 14 | 56 | 2.25% | 4 | 19.04 | 1 | 3 | 4 | 105 | 0 | 0 | 0 | 20 | 0 | 0 | 41.94% | 93 | 0 | 0 | 0 | 0 | 0.33 | 2 | 2 | ||
| 13 | Skyler Brind'Amour | C | 44 | 4 | 7 | 11 | -3 | 2 | 0 | 13 | 80 | 13 | 43 | 5.00% | 8 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.35% | 37 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 14 | Dylan Wendt | RW | 44 | 5 | 3 | 8 | -9 | 0 | 0 | 7 | 66 | 17 | 45 | 7.58% | 6 | 8.80 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 1 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 15 | Michael Karow | D | 22 | 4 | 3 | 7 | -11 | 10 | 0 | 39 | 16 | 3 | 6 | 25.00% | 22 | 17.05 | 1 | 1 | 2 | 14 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 16 | Justin Ertel | LW | 30 | 2 | 5 | 7 | -1 | 8 | 0 | 32 | 22 | 7 | 22 | 9.09% | 1 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 17 | Daniel Laatsch | D | 43 | 0 | 6 | 6 | -1 | 4 | 0 | 4 | 21 | 9 | 9 | 0.00% | 57 | 17.40 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 96 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 18 | 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 | ||
| 19 | Borya Valis | C/RW | 35 | 2 | 2 | 4 | -1 | 8 | 0 | 36 | 46 | 5 | 26 | 4.35% | 1 | 6.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39.38% | 259 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 20 | Navrin Mutter | LW | 42 | 1 | 1 | 2 | -4 | 8 | 0 | 24 | 14 | 6 | 14 | 7.14% | 1 | 3.03 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 21 | 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 | ||
| 22 | Raphael Lavoie | RW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 1 | 0.00% | 0 | 1.96 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Patrick Giles | C/RW | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 24 | 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 | 805 | 101 | 175 | 276 | -132 | 363 | 25 | 1066 | 1303 | 334 | 897 | 7.75% | 399 | 15.36 | 24 | 44 | 68 | 1204 | 2 | 3 | 5 | 1030 | 14 | 4 | 45.97% | 3537 | 0 | 0 | 0 | 0 | 0.45 | 3 | 5 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Kyle Keyser | 34 | 13 | 19 | 1 | 0.903 | 3.07 | 1977 | 4 | 1 | 101 | 1042 | 0 | 1 | 0 | 1.000 | 5 | 34 | 0 | 2 | 1 | 2 | |
| 2 | Devin Cooley | 11 | 3 | 6 | 1 | 0.899 | 3.42 | 579 | 2 | 1 | 33 | 328 | 0 | 0 | 0 | 0.000 | 0 | 10 | 25 | 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 | 48 | 16 | 26 | 2 | 0.903 | 3.12 | 2656 | 8 | 2 | 138 | 1426 | 0 | 1 | 0 | 1.000 | 5 | 44 | 44 | 3 | 3 | 2 |
| 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 | 27 | 800,000$ | 800,000$ | UFA | ||||||
| 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 | 25 | 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$ | |||||||
| Joel Nystrom | D | 23 | 0$ | RFA | |||||||
| 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 | 27 | 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 | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| 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 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 37 | 41 | 25 | 6 | 95 | 426 | 462 | 462 | 20 | 117 | 34 | 41 | 82 | 10 | 1 | 10.00% | 17 | 5 | 70.59% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 58.3% | 8.4% | 91.5% | 99.9 | DULL | |
| 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 37 | 41 | 25 | 6 | 71 | 426 | 462 | 462 | 20 | 47 | 14 | 10 | 42 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 1 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 66.7% | 9.9% | 91.5% | 101.3 | LUCKY | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 37 | 41 | 25 | 6 | 37 | 426 | 462 | 462 | 20 | 27 | 9 | 10 | 34 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 60.0% | 10.8% | 88.9% | 99.7 | FUN | |
| 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 37 | 41 | 25 | 6 | 43 | 426 | 462 | 462 | 20 | 34 | 6 | 6 | 22 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 50.0% | 4.7% | 88.2% | 92.9 | Unlucky | |
| 5 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 37 | 41 | 25 | 6 | 51 | 426 | 462 | 462 | 20 | 67 | 19 | 16 | 49 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 16.7% | 3.9% | 92.5% | 96.5 | DULL | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 37 | 41 | 25 | 6 | 28 | 426 | 462 | 462 | 20 | 36 | 10 | 17 | 18 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 0.0% | 3.6% | 88.9% | 92.5 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 37 | 41 | 25 | 6 | 31 | 426 | 462 | 462 | 20 | 26 | 9 | 6 | 16 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 100.0% | 3.2% | 100.0% | 103.2 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 37 | 41 | 25 | 6 | 45 | 426 | 462 | 462 | 20 | 19 | 8 | 4 | 18 | 8 | 3 | 37.50% | 1 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 0.0% | 6.7% | 94.7% | 101.4 | DULL | |
| 9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.500 | 11 | 20 | 31 | 0 | 1 | 37 | 41 | 25 | 6 | 124 | 426 | 462 | 462 | 20 | 128 | 41 | 42 | 105 | 9 | 4 | 44.44% | 21 | 4 | 80.95% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 58.3% | 8.9% | 93.0% | 101.8 | Unlucky | |
| 10 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 37 | 41 | 25 | 6 | 84 | 426 | 462 | 462 | 20 | 81 | 22 | 16 | 75 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 1 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 33.3% | 6.0% | 88.9% | 94.8 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 37 | 41 | 25 | 6 | 34 | 426 | 462 | 462 | 20 | 26 | 13 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 66.7% | 8.8% | 96.2% | 105.0 | DULL | |
| 12 | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 16 | 13 | 3 | 7 | 0.875 | 16 | 29 | 45 | 0 | 0 | 37 | 41 | 25 | 6 | 150 | 426 | 462 | 462 | 20 | 128 | 37 | 46 | 105 | 16 | 2 | 12.50% | 21 | 2 | 90.48% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 56.0% | 10.7% | 89.8% | 100.5 | FUN | |
| 13 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 37 | 41 | 25 | 6 | 85 | 426 | 462 | 462 | 20 | 124 | 20 | 19 | 88 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 9.1% | 4.7% | 91.1% | 95.8 | Unlucky | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 37 | 41 | 25 | 6 | 33 | 426 | 462 | 462 | 20 | 37 | 9 | 12 | 26 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 60.0% | 9.1% | 86.5% | 95.6 | FUN | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 37 | 41 | 25 | 6 | 21 | 426 | 462 | 462 | 20 | 26 | 9 | 8 | 23 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 0.0% | 0.0% | 96.2% | 96.2 | DULL | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 37 | 41 | 25 | 6 | 46 | 426 | 462 | 462 | 20 | 31 | 5 | 6 | 37 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 57.1% | 8.7% | 90.3% | 99.0 | Unlucky | |
| 17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 37 | 41 | 25 | 6 | 15 | 426 | 462 | 462 | 20 | 41 | 11 | 17 | 23 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 100.0% | 6.7% | 95.1% | 101.8 | DULL | |
| 18 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 0.333 | 7 | 10 | 17 | 0 | 0 | 37 | 41 | 25 | 6 | 70 | 426 | 462 | 462 | 20 | 104 | 40 | 35 | 81 | 9 | 3 | 33.33% | 15 | 2 | 86.67% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 26.7% | 10.0% | 87.5% | 97.5 | FUN | |
| 19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 37 | 41 | 25 | 6 | 46 | 426 | 462 | 462 | 20 | 28 | 6 | 10 | 21 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 62.5% | 13.0% | 82.1% | 95.2 | FUN | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 37 | 41 | 25 | 6 | 21 | 426 | 462 | 462 | 20 | 43 | 11 | 10 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 20.0% | 4.8% | 90.7% | 95.5 | Unlucky | |
| 21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 37 | 41 | 25 | 6 | 60 | 426 | 462 | 462 | 20 | 63 | 23 | 10 | 51 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 26.7% | 6.7% | 81.0% | 87.6 | Unlucky | |
| 22 | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.400 | 13 | 20 | 33 | 0 | 0 | 37 | 41 | 25 | 6 | 143 | 426 | 462 | 462 | 20 | 154 | 45 | 30 | 119 | 17 | 2 | 11.76% | 14 | 1 | 92.86% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 44.0% | 9.1% | 90.3% | 99.4 | FUN | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 37 | 41 | 25 | 6 | 32 | 426 | 462 | 462 | 20 | 39 | 9 | 4 | 17 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 50.0% | 6.3% | 89.7% | 96.0 | Unlucky | |
| _Vs Division | 22 | 6 | 14 | 0 | 2 | 1 | 1 | 0 | 61 | 76 | -15 | 19 | 0.432 | 61 | 102 | 163 | 0 | 1 | 37 | 41 | 25 | 6 | 674 | 426 | 462 | 462 | 20 | 733 | 229 | 208 | 560 | 69 | 12 | 17.39% | 95 | 17 | 82.11% | 0 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 45.4% | 9.1% | 89.6% | 98.7 | FUN | |
| _Vs Conference | 33 | 7 | 20 | 0 | 2 | 2 | 2 | 0 | 82 | 111 | -29 | 24 | 0.364 | 82 | 140 | 222 | 0 | 1 | 37 | 41 | 25 | 6 | 1013 | 426 | 462 | 462 | 20 | 1088 | 314 | 290 | 829 | 109 | 22 | 20.18% | 127 | 21 | 83.46% | 1 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 40.0% | 8.1% | 89.8% | 97.9 | Unlucky | |
| _Since Last GM Reset | 44 | 11 | 26 | 0 | 3 | 2 | 2 | 0 | 108 | 138 | -30 | 34 | 0.386 | 108 | 184 | 292 | 0 | 2 | 37 | 41 | 25 | 6 | 1365 | 426 | 462 | 462 | 20 | 1426 | 410 | 377 | 1090 | 145 | 25 | 17.24% | 164 | 30 | 81.71% | 2 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 43.5% | 7.9% | 90.3% | 98.2 | Unlucky | |
| Total | 44 | 11 | 26 | 0 | 3 | 2 | 2 | 0 | 108 | 138 | -30 | 34 | 0.386 | 108 | 184 | 292 | 0 | 2 | 37 | 41 | 25 | 6 | 1365 | 426 | 462 | 462 | 20 | 1426 | 410 | 377 | 1090 | 145 | 25 | 17.24% | 164 | 30 | 81.71% | 2 | 717 | 1550 | 46.26% | 757 | 1581 | 47.88% | 337 | 708 | 47.60% | 994 | 649 | 1064 | 348 | 603 | 295 | 43.5% | 7.9% | 90.3% | 98.2 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1550 |
| Neutral Zone Start | 708 |
| Defensive Zone Start | 1581 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1811 |
| Faceoffs Lost | 2028 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.7 | 9.57 |
| 2nd Period | 20.2 | 20.31 |
| 3rd Period | 30.7 | 30.68 |
| Overtime | 31.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 81 |
|---|---|
| PP Goal | 25 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 11 | 5 |
| Lost | 9 | 17 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 145 |
|---|---|
| PP Goal | 25 |
| PK Attempt | 164 |
| PK Goal Against | 30 |
| Home | |
|---|---|
| Shots For | 31.0 |
| Shots Against | 32.4 |
| Goals For | 2.5 |
| Goals Against | 3.1 |
| Hits | 24.8 |
| Shots Blocked | 9.3 |
| Pim | 8.6 |
| 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 | |||||||||||
| 2025-11-28 | @ | Admirals2,Canucks1 | RECAP | |||||||||||
| 2025-11-30 | @ | Canucks1,Admirals3 | RECAP | |||||||||||
| 2025-12-02 | @ | Canucks0,Barracuda6 | RECAP | |||||||||||
| 2025-12-03 | @ | Admirals4,Canucks3 | RECAP | |||||||||||
| 2025-12-08 | @ | Firebirds4,Canucks2 | RECAP | |||||||||||
| 2025-12-12 | @ | Wranglers3,Canucks4 (SO) | RECAP | |||||||||||
| 2025-12-14 | @ | Canucks1,Wolf Pack0 | RECAP | |||||||||||
| 2025-12-16 | @ | Canucks1,Silver Knights3 | RECAP | |||||||||||
| 2025-12-18 | @ | Monsters2,Canucks1 | RECAP | |||||||||||
| 2025-12-21 | @ | Crunch1,Canucks3 | RECAP | |||||||||||
| 2025-12-24 | @ | Canucks6,Stars5 (SO) | RECAP | |||||||||||
| 2025-12-27 | @ | Silver Knights3,Canucks4 (OT) | RECAP | |||||||||||
| 2025-12-30 | @ | Canucks3,Reign5 | RECAP | |||||||||||
| 2025-12-31 | @ | Condors2,Canucks3 | RECAP | |||||||||||
| 2026-01-03 | @ | Canucks5,Gulls3 | RECAP | |||||||||||
| 2026-01-05 | @ | Marlies4,Canucks1 | RECAP | |||||||||||
| 2026-01-07 | @ | Canucks0,Americans1 | RECAP | |||||||||||
| 2026-01-09 | @ | Canucks2,Comets3 | RECAP | |||||||||||
| 2026-01-11 | @ | Comets1,Canucks5 | RECAP | |||||||||||
| 2026-01-15 | @ | Canucks3,Wild1 | RECAP | |||||||||||
| 2026-01-17 | @ | Canucks1,Wolves3 | RECAP | |||||||||||
| 2026-01-18 | @ | Eagles4,Canucks1 | RECAP | |||||||||||
| 2026-01-21 | @ | |||||||||||||
| 2026-01-23 | @ | |||||||||||||
| 2026-01-26 | @ | |||||||||||||
| 2026-01-31 | @ | |||||||||||||
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| 2026-02-19 | @ | |||||||||||||
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| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-10 | @ | |||||||||||||
| 2026-03-12 | @ | |||||||||||||
| 2026-03-14 | @ | |||||||||||||
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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 |
| 15 | 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 |
|---|---|---|---|
| 1,865,312$ | 12,588$ | 1,287,501$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 88 | 18,144$ | 1,378,944$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,378,944$ | 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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Matthew Murray is out for 1 days because of a Exhaustion.
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