| Abbotsford Canucks 33-34-5, 71pts · 12th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Benoit-Olivier Groulx | 0 | C/LW | 100.00 | 70 | 40 | 74 | 62 | 80 | 69 | 83 | 60 | 64 | 61 | 62 | 64 | 62 | 63 | 60 | 0 | 54 | 71 | 26 | 850,000$/3yrs | |||
Raphael Lavoie | 0 | RW | 100.00 | 70 | 41 | 74 | 61 | 87 | 68 | 79 | 60 | 72 | 59 | 64 | 64 | 61 | 63 | 60 | 0 | 36 | 71 | 25 | 800,000$/1yrs | |||
Andrew Cristall (R) | 0 | LW | 100.00 | 60 | 38 | 91 | 65 | 69 | 67 | 71 | 65 | 46 | 69 | 56 | 58 | 62 | 54 | 53 | 0 | 48 | 71 | 21 | 841,666$/3yrs | |||
Tyson Jost | 0 | C/LW | 100.00 | 69 | 35 | 81 | 56 | 72 | 74 | 82 | 58 | 61 | 59 | 62 | 63 | 60 | 72 | 70 | 0 | 46 | 70 | 28 | 800,000$/2yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 63 | 39 | 85 | 56 | 73 | 65 | 87 | 62 | 72 | 54 | 58 | 65 | 56 | 64 | 63 | 0 | 53 | 69 | 27 | 800,000$/1yrs | |||
Skyler Brind'Amour | 0 | C | 100.00 | 66 | 39 | 81 | 56 | 71 | 65 | 88 | 62 | 66 | 54 | 58 | 65 | 56 | 64 | 63 | 0 | 53 | 69 | 26 | 800,000$/2yrs | |||
Wilmer Skoog | 0 | LW | 100.00 | 70 | 40 | 74 | 56 | 78 | 65 | 89 | 62 | 39 | 57 | 56 | 65 | 57 | 64 | 62 | 0 | 53 | 69 | 26 | 870,000$/1yrs | |||
Vitali Kravtsov | 0 | LW/RW | 100.00 | 63 | 33 | 92 | 55 | 76 | 74 | 72 | 57 | 55 | 57 | 60 | 55 | 59 | 65 | 65 | 0 | 38 | 68 | 26 | 1,255,000$/1yrs | |||
Jacob Perreault | 0 | C/RW | 100.00 | 70 | 40 | 73 | 57 | 74 | 63 | 78 | 59 | 48 | 57 | 54 | 62 | 55 | 59 | 56 | 0 | 50 | 67 | 24 | 900,000$/3yrs | |||
Navrin Mutter | 0 | LW | 100.00 | 99 | 45 | 50 | 53 | 83 | 61 | 78 | 61 | 39 | 53 | 51 | 64 | 52 | 61 | 56 | 0 | 53 | 67 | 25 | 800,000$/2yrs | |||
Patrick Giles | 0 | C/RW | 100.00 | 70 | 33 | 99 | 55 | 83 | 70 | 68 | 51 | 73 | 55 | 56 | 59 | 53 | 68 | 68 | 0 | 36 | 67 | 26 | 800,000$/2yrs | |||
Dylan Wendt | 0 | RW | 100.00 | 55 | 37 | 99 | 54 | 74 | 62 | 70 | 60 | 40 | 54 | 52 | 64 | 53 | 61 | 61 | 0 | 28 | 66 | 25 | 870,000$/1yrs | |||
Justin Ertel (R) | 0 | LW | 100.00 | 67 | 39 | 79 | 55 | 75 | 62 | 75 | 58 | 39 | 55 | 52 | 62 | 54 | 57 | 55 | 0 | 23 | 66 | 22 | 900,000$/3yrs | |||
Andy Welinski | 45 | D | 100.00 | 61 | 39 | 89 | 47 | 79 | 64 | 81 | 46 | 30 | 53 | 49 | 72 | 51 | 75 | 74 | 0 | 42 | 67 | 32 | 800,000$/2yrs | |||
Michael Karow | 0 | D | 100.00 | 70 | 40 | 75 | 50 | 80 | 64 | 89 | 48 | 30 | 55 | 51 | 67 | 53 | 66 | 64 | 0 | 40 | 67 | 27 | 800,000$/2yrs | |||
William Trudeau (R) | 0 | D | 100.00 | 72 | 40 | 71 | 51 | 74 | 63 | 86 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 56 | 0 | 53 | 67 | 23 | 950,000$/3yrs | |||
Artem Grushnikov (R) | 0 | D | 100.00 | 75 | 40 | 75 | 57 | 78 | 64 | 80 | 54 | 30 | 50 | 46 | 63 | 56 | 57 | 55 | 0 | 54 | 66 | 23 | 814,167$/1yrs | |||
Braden Hache (R) | 0 | D | 100.00 | 95 | 44 | 50 | 49 | 84 | 62 | 80 | 48 | 30 | 54 | 52 | 62 | 53 | 57 | 52 | 0 | 52 | 66 | 22 | 800,000$/2yrs | |||
Daniel Laatsch | 0 | D | 100.00 | 53 | 38 | 96 | 51 | 78 | 63 | 79 | 51 | 30 | 53 | 53 | 65 | 53 | 63 | 62 | 0 | 53 | 66 | 24 | 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 | |||
Borya Valis | 0 | C/RW | 100.00 | 71 | 40 | 72 | 57 | 77 | 63 | 72 | 57 | 60 | 53 | 57 | 60 | 55 | 56 | 53 | 0 | 20 | 66 | 22 | 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 | 26 | 800,000$/2yrs | |||
Joel Nystrom (R) | 0 | D | 100.00 | 57 | 32 | 94 | 59 | 66 | 80 | 71 | 53 | 30 | 65 | 54 | 56 | 54 | 64 | 64 | 0 | 20 | 70 | 23 | ||||
Joseph Cecconi | 0 | D | 100.00 | 69 | 40 | 76 | 50 | 84 | 64 | 83 | 49 | 30 | 56 | 51 | 68 | 53 | 68 | 66 | 0 | 20 | 68 | 28 | 800,000$/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 | 27 | 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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kyle Keyser | 38 | 100.00 | 72 | 73 | 70 | 74 | 74 | 75 | 73 | 72 | 75 | 74 | 73 | 65 | 66 | 0 | 57 | 77 | 27 | 800,000$/2yrs |
Clay Stevenson | 0 | 100.00 | 69 | 75 | 68 | 80 | 65 | 76 | 70 | 69 | 76 | 75 | 71 | 65 | 66 | 0 | 50 | 76 | 27 | 850,000$/1yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Benoit Groulx | 59 | 63 | 68 | 72 | 83 | 78 | 68 | CAN | 57 | 4 | 1,000,000$ |
| 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 | Jake Leschyshyn | C | 71 | 21 | 34 | 55 | 4 | 20 | 0 | 49 | 182 | 53 | 136 | 11.54% | 11 | 18.68 | 6 | 9 | 15 | 177 | 2 | 0 | 2 | 142 | 2 | 2 | 49.54% | 1647 | 0 | 0 | 0 | 1 | 0.83 | 0 | 1 | ||
| 2 | Wilmer Skoog | LW | 72 | 20 | 27 | 47 | 0 | 14 | 0 | 69 | 199 | 81 | 156 | 10.05% | 11 | 18.43 | 5 | 8 | 13 | 191 | 0 | 1 | 1 | 101 | 1 | 1 | 36.19% | 105 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 | ||
| 3 | Benoit-Olivier Groulx | C/LW | 72 | 19 | 23 | 42 | 3 | 47 | 5 | 142 | 184 | 54 | 124 | 10.33% | 14 | 16.65 | 3 | 4 | 7 | 93 | 0 | 0 | 0 | 43 | 3 | 1 | 56.40% | 172 | 0 | 0 | 0 | 0 | 0.70 | 1 | 1 | ||
| 4 | Andrew Cristall | LW | 68 | 17 | 20 | 37 | -13 | 26 | 0 | 66 | 202 | 47 | 164 | 8.42% | 17 | 19.94 | 5 | 7 | 12 | 195 | 1 | 0 | 1 | 173 | 3 | 1 | 44.27% | 262 | 0 | 0 | 0 | 0 | 0.55 | 1 | 4 | ||
| 5 | Jacob Perreault | C/RW | 72 | 12 | 22 | 34 | -17 | 47 | 5 | 135 | 194 | 53 | 100 | 6.19% | 18 | 16.52 | 4 | 10 | 14 | 205 | 0 | 0 | 0 | 41 | 0 | 0 | 43.33% | 1064 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 | ||
| 6 | William Trudeau | D | 72 | 6 | 23 | 29 | 7 | 12 | 0 | 28 | 51 | 20 | 59 | 11.76% | 93 | 20.93 | 3 | 4 | 7 | 204 | 0 | 1 | 1 | 196 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 7 | Tyson Jost | C/LW | 67 | 11 | 17 | 28 | 2 | 20 | 0 | 53 | 129 | 46 | 92 | 8.53% | 11 | 13.64 | 0 | 3 | 3 | 57 | 0 | 0 | 0 | 81 | 3 | 1 | 54.82% | 166 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 8 | Braden Hache | D | 72 | 5 | 21 | 26 | -2 | 123 | 15 | 329 | 83 | 18 | 53 | 6.02% | 79 | 22.07 | 2 | 8 | 10 | 203 | 0 | 0 | 0 | 149 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 9 | Andy Welinski | D | 63 | 8 | 17 | 25 | -6 | 16 | 0 | 39 | 73 | 18 | 44 | 10.96% | 82 | 23.61 | 4 | 2 | 6 | 187 | 0 | 0 | 0 | 178 | 3 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.34 | 0 | 0 | ||
| 10 | Artem Grushnikov | D | 72 | 4 | 21 | 25 | -12 | 75 | 5 | 200 | 83 | 20 | 42 | 4.82% | 85 | 19.01 | 2 | 6 | 8 | 206 | 0 | 1 | 1 | 88 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 11 | Skyler Brind'Amour | C | 72 | 10 | 13 | 23 | -2 | 2 | 0 | 36 | 145 | 26 | 90 | 6.90% | 11 | 13.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.83% | 69 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 12 | Michael Karow | D | 50 | 7 | 8 | 15 | -6 | 46 | 0 | 98 | 42 | 11 | 19 | 16.67% | 42 | 16.94 | 1 | 1 | 2 | 37 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 13 | Vitali Kravtsov | LW/RW | 46 | 4 | 7 | 11 | 6 | 4 | 0 | 14 | 53 | 12 | 32 | 7.55% | 1 | 8.29 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 17 | 1 | 0 | 49.33% | 223 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 14 | Daniel Laatsch | D | 71 | 0 | 11 | 11 | -7 | 6 | 0 | 8 | 30 | 16 | 23 | 0.00% | 83 | 17.59 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 166 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
| 15 | Raphael Lavoie | RW | 37 | 4 | 4 | 8 | 4 | 14 | 0 | 40 | 67 | 25 | 44 | 5.97% | 2 | 9.39 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 0 | 2 | 0 | 55.45% | 101 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 16 | Dylan Wendt | RW | 56 | 5 | 3 | 8 | -10 | 0 | 0 | 8 | 68 | 18 | 46 | 7.35% | 7 | 7.39 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 1 | 47.62% | 21 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 17 | Justin Ertel | LW | 39 | 2 | 5 | 7 | -1 | 8 | 0 | 32 | 22 | 7 | 22 | 9.09% | 1 | 5.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
| 18 | Patrick Giles | C/RW | 36 | 1 | 4 | 5 | 3 | 0 | 0 | 6 | 12 | 5 | 15 | 8.33% | 1 | 4.56 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 47.62% | 21 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 19 | 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 | ||
| 20 | Borya Valis | C/RW | 39 | 2 | 2 | 4 | -1 | 8 | 0 | 36 | 46 | 5 | 26 | 4.35% | 1 | 5.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 39.38% | 259 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 21 | Navrin Mutter | LW | 70 | 1 | 1 | 2 | -4 | 8 | 0 | 24 | 15 | 6 | 14 | 6.67% | 1 | 1.95 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 22 | 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 | ||
| 23 | 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 | 1241 | 159 | 287 | 446 | -60 | 516 | 30 | 1469 | 1894 | 545 | 1315 | 8.39% | 599 | 15.00 | 35 | 64 | 99 | 1869 | 3 | 3 | 6 | 1459 | 25 | 8 | 47.21% | 4128 | 0 | 0 | 1 | 1 | 0.48 | 3 | 8 |
| 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 | 40 | 16 | 21 | 2 | 0.910 | 2.94 | 2346 | 4 | 2 | 115 | 1272 | 0 | 1 | 0 | 0.750 | 8 | 40 | 22 | 3 | 3 | 2 | |
| 2 | Clay Stevenson | 25 | 14 | 7 | 2 | 0.921 | 2.56 | 1432 | 6 | 2 | 61 | 771 | 0 | 0 | 0 | 0.833 | 6 | 22 | 25 | 4 | 0 | 0 | |
| Team Total or Average | 65 | 30 | 28 | 4 | 0.914 | 2.79 | 3779 | 10 | 4 | 176 | 2043 | 0 | 1 | 0 | 0.786 | 14 | 62 | 47 | 7 | 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 | 21 | 841,666$ | 841,666$ | 841,666$ | 841,666$ | RFA | ||||
| Andy Welinski | D | 32 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Artem Grushnikov | D | 23 | 814,167$ | 814,167$ | RFA | ||||||
| Benoit-Olivier Groulx | C/LW | 26 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
| Borya Valis | C/RW | 22 | 872,500$ | 872,500$ | 872,500$ | 872,500$ | |||||
| Braden Hache | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Christian Felton | RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Clay Stevenson | G | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Cooper Zech | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Daniel Laatsch | D | 24 | 860,000$ | 860,000$ | 860,000$ | ||||||
| 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 | 24 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
| Jake Leschyshyn | C | 27 | 800,000$ | 800,000$ | UFA | ||||||
| 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 | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Michael Karow | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Navrin Mutter | LW | 25 | 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 | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Skyler Brind'Amour | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Tyson Jost | C/LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Vitali Kravtsov | LW/RW | 26 | 1,255,000$ | 1,255,000$ | |||||||
| 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 | 5 | 0 | 2 | 0 | 1 | 1 | 1 | 0 | 15 | 17 | -2 | 5 | 0.500 | 15 | 26 | 41 | 0 | 0 | 72 | 59 | 52 | 13 | 149 | 750 | 752 | 751 | 42 | 196 | 51 | 53 | 118 | 21 | 5 | 23.81% | 23 | 7 | 69.57% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 50.0% | 10.1% | 91.3% | 101.4 | LUCKY | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 72 | 59 | 52 | 13 | 26 | 750 | 752 | 751 | 42 | 31 | 4 | 15 | 18 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 75.0% | 11.5% | 96.8% | 108.3 | LUCKY | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 72 | 59 | 52 | 13 | 71 | 750 | 752 | 751 | 42 | 47 | 14 | 10 | 42 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 1 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 66.7% | 9.9% | 91.5% | 101.3 | LUCKY | |
| 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 72 | 59 | 52 | 13 | 86 | 750 | 752 | 751 | 42 | 44 | 12 | 10 | 56 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 62.5% | 8.1% | 90.9% | 99.0 | Unlucky | |
| 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 72 | 59 | 52 | 13 | 43 | 750 | 752 | 751 | 42 | 34 | 6 | 6 | 22 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 50.0% | 4.7% | 88.2% | 92.9 | Unlucky | |
| 6 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 72 | 59 | 52 | 13 | 51 | 750 | 752 | 751 | 42 | 67 | 19 | 16 | 49 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 16.7% | 3.9% | 92.5% | 96.5 | DULL | |
| 7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 72 | 59 | 52 | 13 | 93 | 750 | 752 | 751 | 42 | 92 | 25 | 27 | 59 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 1 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 40.0% | 7.5% | 89.1% | 96.7 | Unlucky | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 72 | 59 | 52 | 13 | 31 | 750 | 752 | 751 | 42 | 26 | 9 | 6 | 16 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 100.0% | 3.2% | 100.0% | 103.2 | DULL | |
| 9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 72 | 59 | 52 | 13 | 27 | 750 | 752 | 751 | 42 | 39 | 10 | 2 | 11 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 75.0% | 11.1% | 94.9% | 106.0 | LUCKY | |
| 10 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 72 | 59 | 52 | 13 | 38 | 750 | 752 | 751 | 42 | 41 | 8 | 2 | 21 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 40.0% | 5.3% | 92.7% | 97.9 | DULL | |
| 11 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 72 | 59 | 52 | 13 | 22 | 750 | 752 | 751 | 42 | 29 | 4 | 6 | 12 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 33.3% | 9.1% | 89.7% | 98.7 | FUN | |
| 12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 72 | 59 | 52 | 13 | 76 | 750 | 752 | 751 | 42 | 61 | 18 | 17 | 38 | 11 | 3 | 27.27% | 5 | 1 | 80.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 33.3% | 6.6% | 91.8% | 98.4 | DULL | |
| 13 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 12 | 5 | 6 | 0.600 | 17 | 31 | 48 | 0 | 1 | 72 | 59 | 52 | 13 | 162 | 750 | 752 | 751 | 42 | 162 | 49 | 44 | 132 | 13 | 5 | 38.46% | 22 | 4 | 81.82% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 60.0% | 10.5% | 92.6% | 103.1 | LUCKY | |
| 14 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 72 | 59 | 52 | 13 | 84 | 750 | 752 | 751 | 42 | 81 | 22 | 16 | 75 | 10 | 1 | 10.00% | 8 | 1 | 87.50% | 1 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 33.3% | 6.0% | 88.9% | 94.8 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 72 | 59 | 52 | 13 | 34 | 750 | 752 | 751 | 42 | 26 | 13 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 66.7% | 8.8% | 96.2% | 105.0 | DULL | |
| 16 | 5 | 2 | 0 | 0 | 2 | 1 | 0 | 0 | 17 | 13 | 4 | 9 | 0.900 | 17 | 31 | 48 | 0 | 1 | 72 | 59 | 52 | 13 | 179 | 750 | 752 | 751 | 42 | 171 | 45 | 60 | 130 | 19 | 2 | 10.53% | 28 | 2 | 92.86% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 57.7% | 9.5% | 92.4% | 101.9 | LUCKY | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 4 | 7 | 0 | 1 | 72 | 59 | 52 | 13 | 21 | 750 | 752 | 751 | 42 | 24 | 6 | 12 | 21 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 100.0% | 14.3% | 100.0% | 114.3 | LUCKY | |
| 18 | 5 | 0 | 3 | 0 | 1 | 0 | 1 | 0 | 12 | 17 | -5 | 4 | 0.400 | 12 | 21 | 33 | 0 | 0 | 72 | 59 | 52 | 13 | 168 | 750 | 752 | 751 | 42 | 182 | 29 | 29 | 121 | 18 | 4 | 22.22% | 11 | 2 | 81.82% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 34.8% | 7.1% | 90.7% | 97.8 | Unlucky | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 72 | 59 | 52 | 13 | 33 | 750 | 752 | 751 | 42 | 37 | 9 | 12 | 26 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 60.0% | 9.1% | 86.5% | 95.6 | FUN | |
| 20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 72 | 59 | 52 | 13 | 21 | 750 | 752 | 751 | 42 | 26 | 9 | 8 | 23 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 0.0% | 0.0% | 96.2% | 96.2 | DULL | |
| 21 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 12 | 19 | 0 | 0 | 72 | 59 | 52 | 13 | 78 | 750 | 752 | 751 | 42 | 112 | 23 | 26 | 63 | 9 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 58.3% | 9.0% | 92.0% | 100.9 | LUCKY | |
| 22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 72 | 59 | 52 | 13 | 46 | 750 | 752 | 751 | 42 | 31 | 5 | 6 | 37 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 57.1% | 8.7% | 90.3% | 99.0 | Unlucky | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 72 | 59 | 52 | 13 | 15 | 750 | 752 | 751 | 42 | 41 | 11 | 17 | 23 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 100.0% | 6.7% | 95.1% | 101.8 | DULL | |
| 24 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 72 | 59 | 52 | 13 | 88 | 750 | 752 | 751 | 42 | 81 | 26 | 16 | 55 | 11 | 2 | 18.18% | 8 | 3 | 62.50% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 50.0% | 9.1% | 88.9% | 98.0 | FUN | |
| 25 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 17 | -6 | 4 | 0.400 | 11 | 17 | 28 | 0 | 0 | 72 | 59 | 52 | 13 | 115 | 750 | 752 | 751 | 42 | 168 | 59 | 49 | 118 | 15 | 3 | 20.00% | 22 | 2 | 90.91% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 34.8% | 9.6% | 89.9% | 99.4 | FUN | |
| 26 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 12 | 9 | 3 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 72 | 59 | 52 | 13 | 88 | 750 | 752 | 751 | 42 | 59 | 15 | 12 | 43 | 10 | 3 | 30.00% | 6 | 2 | 66.67% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 56.3% | 13.6% | 84.7% | 98.4 | FUN | |
| 27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 72 | 59 | 52 | 13 | 21 | 750 | 752 | 751 | 42 | 43 | 11 | 10 | 19 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 20.0% | 4.8% | 90.7% | 95.5 | Unlucky | |
| 28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 72 | 59 | 52 | 13 | 50 | 750 | 752 | 751 | 42 | 26 | 8 | 2 | 21 | 7 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 0.0% | 0.0% | 92.3% | 92.3 | DULL | |
| 29 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 18 | -3 | 4 | 0.400 | 15 | 27 | 42 | 0 | 1 | 72 | 59 | 52 | 13 | 167 | 750 | 752 | 751 | 42 | 165 | 46 | 36 | 103 | 16 | 2 | 12.50% | 18 | 3 | 83.33% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 46.4% | 9.0% | 89.1% | 98.1 | FUN | |
| 30 | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 4 | 0.400 | 13 | 20 | 33 | 0 | 0 | 72 | 59 | 52 | 13 | 143 | 750 | 752 | 751 | 42 | 154 | 45 | 30 | 119 | 17 | 2 | 11.76% | 14 | 1 | 92.86% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 44.0% | 9.1% | 90.3% | 99.4 | FUN | |
| 31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 72 | 59 | 52 | 13 | 55 | 750 | 752 | 751 | 42 | 75 | 20 | 14 | 37 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 42.9% | 9.1% | 92.0% | 101.1 | LUCKY | |
| _Vs Division | 32 | 10 | 16 | 0 | 5 | 2 | 2 | 0 | 93 | 98 | -5 | 36 | 0.563 | 93 | 161 | 254 | 0 | 3 | 72 | 59 | 52 | 13 | 970 | 750 | 752 | 751 | 42 | 1091 | 315 | 286 | 757 | 108 | 21 | 19.44% | 134 | 21 | 84.33% | 0 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 48.3% | 9.6% | 91.0% | 100.6 | FUN | |
| _Vs Conference | 54 | 16 | 27 | 0 | 5 | 3 | 3 | 0 | 151 | 171 | -20 | 51 | 0.472 | 151 | 266 | 417 | 0 | 3 | 72 | 59 | 52 | 13 | 1696 | 750 | 752 | 751 | 42 | 1826 | 492 | 445 | 1260 | 191 | 36 | 18.85% | 202 | 35 | 82.67% | 2 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 45.8% | 8.9% | 90.6% | 99.5 | Unlucky | |
| _Since Last GM Reset | 72 | 23 | 34 | 0 | 7 | 4 | 3 | 1 | 193 | 210 | -17 | 71 | 0.493 | 193 | 335 | 528 | 0 | 5 | 72 | 59 | 52 | 13 | 2281 | 750 | 752 | 751 | 42 | 2371 | 631 | 571 | 1647 | 256 | 42 | 16.41% | 255 | 46 | 81.96% | 3 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 47.9% | 8.5% | 91.1% | 99.6 | Unlucky | |
| Total | 72 | 23 | 34 | 0 | 7 | 4 | 3 | 1 | 193 | 210 | -17 | 71 | 0.493 | 193 | 335 | 528 | 0 | 5 | 72 | 59 | 52 | 13 | 2281 | 750 | 752 | 751 | 42 | 2371 | 631 | 571 | 1647 | 256 | 42 | 16.41% | 255 | 46 | 81.96% | 3 | 1248 | 2537 | 49.19% | 1254 | 2634 | 47.61% | 549 | 1162 | 47.25% | 1645 | 1085 | 1743 | 575 | 976 | 478 | 47.9% | 8.5% | 91.1% | 99.6 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2537 |
| Neutral Zone Start | 1162 |
| Defensive Zone Start | 2634 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3051 |
| Faceoffs Lost | 3282 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.4 | 9.57 |
| 2nd Period | 20.9 | 20.31 |
| 3rd Period | 31.3 | 30.68 |
| Overtime | 31.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.5 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 148 |
|---|---|
| PP Goal | 42 |
| PK Goal | 3 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 19 | 14 |
| Lost | 15 | 19 |
| Overtime Lost | 2 | 3 |
| PP Attempt | 256 |
|---|---|
| PP Goal | 42 |
| PK Attempt | 255 |
| PK Goal Against | 46 |
| Home | |
|---|---|
| Shots For | 31.7 |
| Shots Against | 32.9 |
| Goals For | 2.7 |
| Goals Against | 2.9 |
| Hits | 22.9 |
| Shots Blocked | 8.8 |
| Pim | 7.9 |
| 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 | @ | Roadrunners3,Canucks4 (SO) | RECAP | |||||||||||
| 2026-01-23 | @ | Canucks3,IceHogs2 | RECAP | |||||||||||
| 2026-01-26 | @ | Penguins2,Canucks0 | RECAP | |||||||||||
| 2026-01-31 | @ | Rocket3,Canucks2 (OT) | RECAP | |||||||||||
| 2026-02-02 | @ | Canucks4,Roadrunners3 (OT) | RECAP | |||||||||||
| 2026-02-03 | @ | Canucks2,Eagles4 | RECAP | |||||||||||
| 2026-02-04 | @ | Wild4,Canucks2 | RECAP | |||||||||||
| 2026-02-08 | @ | Canucks2,Bears3 (SO) | RECAP | |||||||||||
| 2026-02-09 | @ | Canucks1,Condors0 (OT) | RECAP | |||||||||||
| 2026-02-11 | @ | Gulls3,Canucks2 | RECAP | |||||||||||
| 2026-02-14 | @ | Phantoms1,Canucks3 | RECAP | |||||||||||
| 2026-02-18 | @ | Canucks3,Firebirds2 | RECAP | |||||||||||
| 2026-02-19 | @ | Moose6,Canucks4 | RECAP | |||||||||||
| 2026-02-23 | @ | Canucks3,Barracuda0 | RECAP | |||||||||||
| 2026-02-24 | @ | Stars4,Canucks6 | RECAP | |||||||||||
| 2026-03-01 | @ | Canucks3,Griffins2 (OT) | RECAP | |||||||||||
| 2026-03-03 | @ | Barracuda3,Canucks6 | RECAP | |||||||||||
| 2026-03-05 | @ | Canucks3,Thunderbirds0 | RECAP | |||||||||||
| 2026-03-06 | @ | Gulls1,Canucks2 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-10 | @ | Senators1,Canucks3 | RECAP | |||||||||||
| 2026-03-12 | @ | Canucks4,Moose3 | RECAP | |||||||||||
| 2026-03-14 | @ | Canucks1,IceHogs2 | RECAP | |||||||||||
| 2026-03-15 | @ | Barracuda3,Canucks2 | RECAP | |||||||||||
| 2026-03-21 | @ | Reign3,Canucks6 | RECAP | |||||||||||
| 2026-03-24 | @ | Canucks4,Wranglers5 (OT) | RECAP | |||||||||||
| 2026-03-27 | @ | IceHogs5,Canucks3 | RECAP | |||||||||||
| 2026-04-01 | @ | Eagles2,Canucks4 | RECAP | |||||||||||
| 2026-04-02 | @ | Canucks3,Wranglers2 (OT) | RECAP | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,123,834$ | 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 |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,123,834$ | 2,123,834$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,223,036$ | 11,799$ | 2,223,012$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 17,355$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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