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Full Scoreboard »» |
| Colorado Avalanche 26-34-2, 54pts · 14th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mitchell Marner | 0 | RW | 97.00 | 64 | 32 | 92 | 86 | 71 | 91 | 88 | 80 | 58 | 91 | 77 | 79 | 79 | 73 | 72 | 0 | 49 | 90 | 28 | 10,500,000$/2yrs | |||
Kirill Marchenko | 0 | LW/RW | 99.00 | 65 | 33 | 89 | 80 | 80 | 86 | 89 | 74 | 58 | 78 | 80 | 59 | 77 | 68 | 67 | 0 | 48 | 85 | 25 | 5,000,000$/4yrs | |||
Bo Horvat | 0 | C | 99.00 | 69 | 33 | 86 | 76 | 82 | 88 | 89 | 71 | 91 | 71 | 81 | 68 | 76 | 77 | 88 | 0 | 48 | 84 | 30 | 8,000,000$/6yrs | |||
Ivan Barbashev | 0 | C/LW/RW | 100.00 | 74 | 33 | 94 | 73 | 77 | 82 | 88 | 69 | 58 | 74 | 76 | 57 | 73 | 76 | 75 | 0 | 25 | 82 | 30 | 4,250,000$/2yrs | |||
Jordan Eberle | 0 | RW | 99.00 | 62 | 32 | 87 | 68 | 73 | 84 | 82 | 69 | 59 | 71 | 74 | 59 | 71 | 85 | 90 | 0 | 49 | 81 | 35 | 4,750,000$/1yrs | |||
Tyson Foerster | 0 | C/RW | 100.00 | 67 | 35 | 77 | 71 | 78 | 83 | 87 | 68 | 58 | 64 | 77 | 68 | 73 | 65 | 63 | 0 | 51 | 79 | 24 | 3,750,000$/2yrs | |||
Will Smith (R) | 0 | C | 100.00 | 56 | 32 | 90 | 77 | 71 | 82 | 88 | 68 | 69 | 73 | 73 | 51 | 71 | 59 | 58 | 0 | 44 | 79 | 20 | 950,000$/2yrs | |||
Frank Nazar (R) | 0 | C | 100.00 | 62 | 32 | 82 | 70 | 66 | 83 | 83 | 65 | 78 | 70 | 69 | 66 | 67 | 61 | 60 | 0 | 47 | 77 | 22 | 950,000$/8yrs | |||
Marcus Foligno | 18 | LW/RW | 100.00 | 91 | 60 | 65 | 58 | 90 | 78 | 88 | 59 | 59 | 61 | 63 | 74 | 61 | 83 | 80 | 0 | 43 | 75 | 34 | 4,500,000$/3yrs | |||
Nicholas Robertson | 0 | LW | 100.00 | 70 | 32 | 94 | 66 | 68 | 75 | 87 | 61 | 60 | 61 | 69 | 60 | 65 | 65 | 65 | 0 | 45 | 74 | 24 | 1,000,000$/2yrs | |||
Sasha Pastujov (R) | 0 | LW/RW | 100.00 | 64 | 38 | 85 | 65 | 72 | 69 | 82 | 64 | 35 | 67 | 62 | 60 | 64 | 58 | 56 | 0 | 35 | 73 | 22 | 825,000$/1yrs | |||
Georgii Merkulov | 0 | C/LW | 100.00 | 61 | 38 | 89 | 64 | 69 | 70 | 85 | 64 | 70 | 67 | 60 | 63 | 64 | 63 | 62 | 0 | 23 | 73 | 25 | 800,000$/2yrs | |||
Dougie Hamilton | 0 | D | 99.00 | 69 | 34 | 81 | 67 | 94 | 89 | 86 | 57 | 30 | 71 | 64 | 63 | 61 | 80 | 78 | 0 | 27 | 79 | 32 | 8,000,000$/5yrs | |||
Brandon Montour | 0 | D | 99.00 | 69 | 39 | 71 | 66 | 75 | 92 | 88 | 58 | 30 | 68 | 71 | 62 | 64 | 78 | 76 | 0 | 43 | 78 | 31 | 6,000,000$/5yrs | |||
Marcus Pettersson | 0 | D | 100.00 | 67 | 37 | 76 | 59 | 73 | 90 | 90 | 62 | 30 | 67 | 56 | 77 | 59 | 75 | 72 | 0 | 45 | 77 | 29 | 5,500,000$/6yrs | |||
Rasmus Sandin | 78 | D | 100.00 | 70 | 34 | 90 | 63 | 70 | 86 | 89 | 60 | 30 | 68 | 57 | 68 | 58 | 68 | 67 | 0 | 41 | 76 | 26 | 4,600,000$/4yrs | |||
Lukas Cormier (R) | 0 | D | 100.00 | 65 | 38 | 83 | 60 | 67 | 67 | 75 | 56 | 30 | 66 | 54 | 63 | 60 | 59 | 58 | 0 | 48 | 72 | 23 | 900,000$/2yrs | |||
Nils Lundkvist | 0 | D | 100.00 | 63 | 32 | 85 | 55 | 73 | 80 | 76 | 50 | 30 | 60 | 56 | 55 | 53 | 67 | 65 | 0 | 36 | 69 | 25 | 1,275,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
| TEAM AVERAGE | 99.56 | 67 | 36 | 84 | 68 | 75 | 82 | 86 | 64 | 52 | 69 | 68 | 64 | 66 | 70 | 70 | 0 | 42 | 78 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Karel Vejmelka | 0 | 100.00 | 83 | 95 | 84 | 91 | 88 | 79 | 89 | 93 | 86 | 95 | 89 | 75 | 80 | 0 | 46 | 91 | 29 | 4,750,000$/5yrs |
Kevin Lankinen | 0 | 97.00 | 80 | 93 | 80 | 76 | 86 | 79 | 87 | 91 | 87 | 93 | 87 | 77 | 81 | 0 | 44 | 89 | 30 | 3,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jakub Malek | 0 | 100.00 | 77 | 74 | 73 | 79 | 76 | 78 | 77 | 77 | 78 | 78 | 77 | 62 | 69 | 0 | 58 | 80 | 23 | 867,500$/1yrs |
| TEAM AVERAGE | 99.00 | 80 | 87 | 79 | 82 | 83 | 79 | 84 | 87 | 84 | 89 | 84 | 71 | 77 | 0 | 49 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Don Granato | 75 | 79 | 87 | 90 | 75 | 70 | 68 | USA | 56 | 4 | 1,000,000$ |
| General Manager | Samuel Veillette |
|---|
| 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 | Mitchell Marner | 0 | RW | 62 | 23 | 32 | 55 | -8 | 10 | 0 | 60 | 223 | 57 | 156 | 10.31% | 22 | 20.01 | 5 | 10 | 15 | 215 | 0 | 0 | 0 | 25 | 2 | 2 | 34.75% | 141 | 0 | 0 | 0 | 0 | 0.89 | 1 | 3 | |
| 2 | Bo Horvat | 0 | C | 59 | 19 | 21 | 40 | -3 | 26 | 0 | 110 | 231 | 67 | 162 | 8.23% | 22 | 23.68 | 4 | 6 | 10 | 204 | 1 | 0 | 1 | 240 | 5 | 0 | 54.45% | 1965 | 0 | 0 | 0 | 0 | 0.57 | 0 | 2 | |
| 3 | Dougie Hamilton | 0 | D | 61 | 11 | 21 | 32 | -6 | 68 | 0 | 122 | 66 | 25 | 43 | 16.67% | 68 | 24.78 | 5 | 5 | 10 | 226 | 0 | 1 | 1 | 189 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 4 | Marcus Pettersson | 0 | D | 62 | 5 | 27 | 32 | 4 | 64 | 10 | 75 | 87 | 25 | 55 | 5.75% | 90 | 22.22 | 1 | 5 | 6 | 191 | 0 | 0 | 0 | 190 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 5 | Marcus Foligno | 18 | LW/RW | 62 | 10 | 17 | 27 | 0 | 121 | 15 | 208 | 168 | 48 | 124 | 5.95% | 16 | 17.46 | 1 | 5 | 6 | 179 | 0 | 1 | 1 | 115 | 2 | 1 | 58.18% | 110 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
| 6 | Jordan Eberle | 0 | RW | 62 | 14 | 11 | 25 | -11 | 5 | 5 | 18 | 182 | 32 | 108 | 7.69% | 12 | 17.39 | 1 | 1 | 2 | 156 | 0 | 0 | 0 | 49 | 4 | 0 | 33.33% | 147 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 7 | Ivan Barbashev | 0 | C/LW/RW | 61 | 12 | 11 | 23 | 3 | 36 | 0 | 91 | 106 | 31 | 93 | 11.32% | 3 | 19.13 | 2 | 0 | 2 | 142 | 0 | 0 | 0 | 112 | 2 | 0 | 35.80% | 243 | 0 | 0 | 0 | 0 | 0.39 | 0 | 1 | |
| 8 | Kirill Marchenko | 0 | LW/RW | 61 | 9 | 13 | 22 | -5 | 12 | 0 | 68 | 154 | 47 | 118 | 5.84% | 13 | 19.70 | 1 | 1 | 2 | 158 | 0 | 0 | 0 | 194 | 2 | 0 | 42.06% | 107 | 0 | 0 | 0 | 0 | 0.37 | 1 | 2 | |
| 9 | Brandon Montour | 0 | D | 62 | 3 | 18 | 21 | -5 | 60 | 0 | 124 | 75 | 24 | 45 | 4.00% | 81 | 22.79 | 2 | 5 | 7 | 192 | 0 | 1 | 1 | 209 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 10 | Tyson Foerster | 0 | C/RW | 62 | 9 | 9 | 18 | -6 | 28 | 0 | 84 | 121 | 24 | 96 | 7.44% | 12 | 11.36 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 11 | 0 | 4 | 45.77% | 343 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 11 | Rasmus Sandin | 78 | D | 62 | 4 | 12 | 16 | -2 | 30 | 0 | 69 | 62 | 14 | 37 | 6.45% | 79 | 18.41 | 3 | 3 | 6 | 102 | 0 | 0 | 0 | 152 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 12 | Frank Nazar | 0 | C | 62 | 6 | 10 | 16 | 4 | 25 | 5 | 33 | 103 | 34 | 82 | 5.83% | 10 | 9.36 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 10 | 1 | 0 | 51.15% | 698 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 13 | Nicholas Robertson | 0 | LW | 62 | 3 | 5 | 8 | -6 | 14 | 0 | 35 | 61 | 17 | 46 | 4.92% | 3 | 9.16 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 26.67% | 30 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 14 | Will Smith | 0 | C | 62 | 1 | 7 | 8 | -10 | 2 | 0 | 15 | 60 | 18 | 51 | 1.67% | 5 | 8.32 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 43.35% | 579 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 15 | Sasha Pastujov | 0 | LW/RW | 10 | 1 | 1 | 2 | 0 | 4 | 0 | 7 | 6 | 2 | 3 | 16.67% | 2 | 8.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 16 | Nils Lundkvist | 0 | D | 46 | 0 | 2 | 2 | -5 | 26 | 0 | 41 | 4 | 3 | 7 | 0.00% | 43 | 13.70 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | |
| 17 | Lukas Cormier | 0 | D | 7 | 0 | 1 | 1 | -1 | 4 | 0 | 11 | 1 | 0 | 0 | 0.00% | 3 | 13.14 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
| 18 | Georgii Merkulov | 0 | C/LW | 7 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 3 | 0 | 6 | 33.33% | 2 | 7.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| Team Total or Average | 932 | 131 | 218 | 349 | -55 | 535 | 35 | 1176 | 1713 | 468 | 1232 | 7.65% | 486 | 17.00 | 25 | 41 | 66 | 1823 | 1 | 3 | 4 | 1542 | 23 | 10 | 48.94% | 4369 | 0 | 0 | 0 | 0 | 0.44 | 2 | 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 | Karel Vejmelka | 42 | 18 | 19 | 1 | 0.917 | 2.57 | 2362 | 6 | 1 | 101 | 1214 | 0 | 2 | 0 | 0.667 | 6 | 39 | 22 | 5 | 2 | 4 | |
| 2 | Kevin Lankinen | 25 | 8 | 15 | 1 | 0.902 | 3.18 | 1379 | 0 | 2 | 73 | 746 | 0 | 1 | 1 | 1.000 | 3 | 23 | 39 | 4 | 0 | 0 | |
| Team Total or Average | 67 | 26 | 34 | 2 | 0.911 | 2.79 | 3742 | 6 | 3 | 174 | 1960 | 0 | 3 | 1 | 0.778 | 9 | 62 | 61 | 9 | 2 | 4 |
| Projected Total Cap Hit | 84,552,376$ |
| Projected Cap Space | 10,947,624$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 68,227,717$ |
| Players In Salary Cap | 21 |
| LTIR Players | 0 |
| Avalanche Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Bo Horvat ![]() | C | 30 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |
Brandon Montour ![]() | D | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
Dougie Hamilton ![]() | D | 32 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Frank Nazar | C | 22 | 950,000$ | 950,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ | 6,600,000$ |
Georgii Merkulov | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Ivan Barbashev ![]() | C/LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Jakub Malek | G | 23 | 867,500$ | 867,500$ | RFA | ||||||
Jordan Eberle ![]() | RW | 35 | 4,750,000$ | 4,750,000$ | UFA | ||||||
Karel Vejmelka ![]() | G | 29 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | ||
| Kevin Lankinen | G | 30 | 3,200,000$ | 3,200,000$ | UFA | ||||||
Kirill Marchenko ![]() | LW/RW | 25 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||
Lukas Cormier | D | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Marcus Foligno ![]() | LW/RW | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||||
Marcus Pettersson ![]() | D | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |
Mitchell Marner ![]() | RW | 28 | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||||
Nicholas Robertson | LW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Nils Lundkvist ![]() | D | 25 | 1,275,000$ | 1,275,000$ | 1,275,000$ | ||||||
Rasmus Sandin ![]() | D | 26 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||
Sasha Pastujov | LW/RW | 22 | 825,000$ | 825,000$ | RFA | ||||||
Tyson Foerster ![]() | C/RW | 24 | 3,750,000$ | 3,750,000$ | 3,750,000$ | RFA | |||||
Will Smith | C | 20 | 950,000$ | 950,000$ | 950,000$ | RFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Arshdeep Bains | LW | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Ben Danford | D | 20 | 964,000$ | 964,000$ | 964,000$ | RFA | |||||
Blake Murray | C | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Braeden Kressler | C | 23 | 800,556$ | 800,556$ | RFA | ||||||
Bryce McConnell-Barker | C | 21 | 870,000$ | 870,000$ | RFA | ||||||
Cam Hausinger | RW | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Cam Squires | RW | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Carson Ceulemans | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Chaz Lucius | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
David Reinbacher | D | 21 | 950,000$ | 950,000$ | RFA | ||||||
David Tomasek | C/RW | 30 | 1,200,000$ | 1,200,000$ | UFA | ||||||
Devin Kaplan | RW | 22 | 0$ | RFA | |||||||
Dmitri Kuzmin | D | 22 | 795,556$ | 795,556$ | RFA | ||||||
Erik Portillo | G | 25 | 950,000$ | 950,000$ | RFA | ||||||
Gracyn Sawchyn | C | 21 | 0$ | RFA | |||||||
Hugo Alnefelt | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Jack Matier | D | 22 | 801,667$ | 801,667$ | RFA | ||||||
Jean-Luc Foudy | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Julian Lutz | C/LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kieffer Bellows | LW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Koehn Ziemmer | RW | 21 | 845,833$ | 845,833$ | 845,833$ | RFA | |||||
Kyle Burroughs | D | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Matt Stienburg | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Nico Myatovic | C/LW | 21 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Nikita Grebyonkin | LW/RW | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Olle Lycksell | RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Rasmus Asplund | C/LW | 28 | 800,000$ | 800,000$ | |||||||
Ryan Johnson | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Sean Behrens | D | 22 | 905,833$ | 905,833$ | 905,833$ | RFA | |||||
Thomas Caron | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Vincent Iorio | D | 23 | 814,167$ | 814,167$ | RFA | ||||||
Zac Funk | LW/RW | 22 | 905,000$ | 905,000$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 1 | 3 | 2 | 1 | 50 | 13 | 15 | 21 | 4 | 71 | 15 | 20 | 35 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 45 | 30 | 51 | 15 | 27 | 14 | 75.0% | 14.0% | 94.4% | 108.4 | LUCKY | |
| 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 0 | 1 | 62 | 20 | 17 | 19 | 6 | 68 | 14 | 16 | 45 | 6 | 1 | 16.67% | 8 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 52 | 35 | 45 | 14 | 26 | 13 | 36.4% | 8.1% | 89.7% | 97.8 | Unlucky | |
| 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 14 | -10 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 73 | 15 | 37 | 21 | 0 | 74 | 22 | 20 | 41 | 6 | 1 | 16.67% | 10 | 4 | 60.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 45 | 30 | 51 | 14 | 23 | 11 | 23.1% | 5.5% | 81.1% | 86.6 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 3 | 0 | 1 | 0 | 70 | 36 | 16 | 18 | 0 | 50 | 16 | 14 | 35 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 52 | 36 | 42 | 13 | 25 | 13 | 40.0% | 5.7% | 94.0% | 99.7 | DULL | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 1 | 3 | 0 | 0 | 71 | 27 | 27 | 17 | 0 | 74 | 14 | 22 | 31 | 7 | 1 | 14.29% | 11 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 47 | 32 | 50 | 12 | 22 | 11 | 75.0% | 5.6% | 98.6% | 104.3 | DULL | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 3 | 1 | 1 | 0 | 71 | 14 | 17 | 40 | 0 | 52 | 18 | 29 | 51 | 9 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 50 | 36 | 45 | 14 | 23 | 11 | 62.5% | 7.0% | 92.3% | 99.3 | DULL | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 4 | 2 | 3 | 0 | 62 | 25 | 21 | 16 | 0 | 58 | 19 | 43 | 43 | 4 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 45 | 29 | 48 | 15 | 26 | 11 | 64.3% | 14.5% | 87.9% | 102.4 | FUN | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 69 | 31 | 17 | 21 | 0 | 61 | 24 | 24 | 48 | 5 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 44 | 30 | 50 | 14 | 24 | 11 | 66.7% | 8.7% | 90.2% | 98.9 | Unlucky | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 40 | 15 | 9 | 16 | 0 | 36 | 14 | 21 | 24 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 25 | 18 | 22 | 7 | 11 | 5 | 50.0% | 10.0% | 94.4% | 104.4 | LUCKY | |
| 10 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 9 | 11 | -2 | 3 | 0.375 | 9 | 16 | 25 | 0 | 0 | 5 | 0 | 4 | 0 | 106 | 39 | 32 | 33 | 2 | 139 | 37 | 42 | 75 | 18 | 1 | 5.56% | 21 | 5 | 76.19% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 91 | 61 | 101 | 31 | 50 | 24 | 57.1% | 8.5% | 92.1% | 100.6 | DULL | |
| 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 62 | 18 | 24 | 20 | 0 | 61 | 15 | 18 | 38 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 1 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 52 | 36 | 41 | 13 | 26 | 14 | 71.4% | 8.1% | 95.1% | 103.1 | DULL | |
| 12 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 10 | 15 | 1 | 0 | 2 | 3 | 0 | 0 | 88 | 29 | 31 | 28 | 0 | 116 | 29 | 31 | 61 | 10 | 1 | 10.00% | 12 | 2 | 83.33% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 67 | 45 | 74 | 23 | 38 | 18 | 33.3% | 5.7% | 91.4% | 97.1 | DULL | |
| 13 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 6 | 12 | -6 | 3 | 0.375 | 6 | 11 | 17 | 0 | 0 | 0 | 2 | 3 | 1 | 121 | 34 | 36 | 47 | 6 | 118 | 36 | 37 | 88 | 11 | 1 | 9.09% | 15 | 3 | 80.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 98 | 66 | 96 | 31 | 54 | 27 | 35.7% | 5.0% | 89.8% | 94.8 | Unlucky | |
| 14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 3 | 1 | 5 | 0 | 82 | 30 | 15 | 37 | 0 | 50 | 14 | 13 | 44 | 17 | 4 | 23.53% | 4 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 49 | 34 | 45 | 16 | 25 | 13 | 71.4% | 11.0% | 96.0% | 107.0 | LUCKY | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 37 | 16 | 12 | 9 | 0 | 23 | 10 | 6 | 23 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 27 | 19 | 19 | 6 | 13 | 7 | 33.3% | 2.7% | 87.0% | 89.7 | Unlucky | |
| 16 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 32 | 10 | 7 | 11 | 4 | 34 | 9 | 16 | 20 | 3 | 1 | 33.33% | 7 | 1 | 85.71% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 22 | 15 | 27 | 7 | 12 | 6 | 60.0% | 12.5% | 91.2% | 103.7 | LUCKY | |
| 17 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 4 | 0.500 | 10 | 19 | 29 | 0 | 0 | 3 | 4 | 3 | 0 | 128 | 46 | 38 | 44 | 0 | 139 | 36 | 32 | 88 | 18 | 2 | 11.11% | 15 | 4 | 73.33% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 92 | 63 | 98 | 28 | 49 | 24 | 50.0% | 7.8% | 91.4% | 99.2 | DULL | |
| 18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 62 | 28 | 16 | 18 | 0 | 46 | 18 | 14 | 39 | 7 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 46 | 31 | 47 | 14 | 25 | 13 | 44.4% | 6.5% | 87.0% | 93.4 | Unlucky | |
| 19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 55 | 19 | 22 | 14 | 0 | 58 | 28 | 22 | 37 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 46 | 31 | 48 | 15 | 24 | 12 | 25.0% | 3.6% | 93.1% | 96.7 | DULL | |
| 20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 52 | 13 | 19 | 20 | 0 | 56 | 23 | 31 | 50 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 49 | 33 | 46 | 15 | 24 | 11 | 71.4% | 9.6% | 91.1% | 100.7 | Unlucky | |
| 21 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 3 | 2 | 1 | 75 | 23 | 26 | 24 | 5 | 62 | 27 | 12 | 46 | 10 | 3 | 30.00% | 6 | 1 | 83.33% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 47 | 33 | 51 | 15 | 26 | 13 | 50.0% | 10.7% | 90.3% | 101.0 | FUN | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 48 | 12 | 17 | 19 | 0 | 91 | 25 | 14 | 48 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 41 | 28 | 54 | 15 | 24 | 11 | 57.1% | 8.3% | 94.5% | 102.8 | DULL | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 50 | 19 | 13 | 18 | 0 | 31 | 11 | 4 | 15 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 26 | 19 | 22 | 6 | 10 | 5 | 33.3% | 4.0% | 83.9% | 87.9 | Unlucky | |
| 24 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 0.333 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 80 | 25 | 25 | 30 | 0 | 76 | 35 | 22 | 54 | 12 | 1 | 8.33% | 11 | 3 | 72.73% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 67 | 45 | 75 | 23 | 37 | 17 | 25.0% | 3.8% | 88.2% | 91.9 | Unlucky | |
| 25 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 52 | 17 | 16 | 19 | 0 | 62 | 20 | 18 | 53 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 1 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 45 | 31 | 51 | 14 | 23 | 11 | 33.3% | 3.8% | 91.9% | 95.8 | DULL | |
| 26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 53 | 20 | 13 | 20 | 0 | 68 | 16 | 22 | 40 | 6 | 2 | 33.33% | 11 | 3 | 72.73% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 43 | 29 | 52 | 14 | 23 | 11 | 25.0% | 7.5% | 86.8% | 94.3 | Unlucky | |
| 27 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 80 | 19 | 27 | 34 | 0 | 92 | 25 | 30 | 59 | 11 | 0 | 0.00% | 14 | 2 | 85.71% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 65 | 45 | 78 | 22 | 36 | 16 | 54.5% | 7.5% | 92.4% | 99.9 | DULL | |
| 28 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 47 | 19 | 14 | 14 | 0 | 66 | 13 | 22 | 36 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 45 | 30 | 50 | 15 | 24 | 11 | 11.1% | 4.3% | 86.4% | 90.6 | Unlucky | |
| 29 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 34 | 6 | 12 | 16 | 0 | 29 | 8 | 6 | 29 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 24 | 17 | 22 | 7 | 12 | 5 | 33.3% | 2.9% | 93.1% | 96.0 | DULL | |
| _Vs Division | 18 | 4 | 10 | 0 | 2 | 1 | 0 | 1 | 38 | 53 | -15 | 14 | 0.389 | 38 | 70 | 108 | 0 | 0 | 14 | 10 | 12 | 2 | 541 | 178 | 161 | 192 | 12 | 579 | 172 | 180 | 389 | 63 | 5 | 7.94% | 80 | 18 | 77.50% | 1 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 424 | 291 | 443 | 135 | 225 | 111 | 48.5% | 7.0% | 90.8% | 97.9 | Unlucky | |
| _Vs Conference | 33 | 8 | 21 | 0 | 2 | 1 | 0 | 1 | 61 | 96 | -35 | 22 | 0.333 | 61 | 110 | 171 | 1 | 0 | 23 | 18 | 18 | 2 | 969 | 310 | 306 | 343 | 12 | 1042 | 307 | 315 | 689 | 119 | 8 | 6.72% | 142 | 28 | 80.28% | 2 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 774 | 531 | 806 | 248 | 413 | 202 | 43.8% | 6.3% | 90.8% | 97.1 | Unlucky | |
| _Since Last GM Reset | 62 | 21 | 34 | 0 | 3 | 1 | 2 | 1 | 140 | 176 | -36 | 54 | 0.435 | 140 | 243 | 383 | 1 | 3 | 51 | 45 | 39 | 5 | 1912 | 638 | 591 | 664 | 27 | 1961 | 591 | 621 | 1296 | 228 | 26 | 11.40% | 261 | 48 | 81.61% | 2 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 1457 | 1001 | 1514 | 462 | 776 | 382 | 47.1% | 7.3% | 91.0% | 98.3 | Unlucky | |
| Total | 62 | 21 | 34 | 0 | 3 | 1 | 2 | 1 | 140 | 176 | -36 | 54 | 0.435 | 140 | 243 | 383 | 1 | 3 | 51 | 45 | 39 | 5 | 1912 | 638 | 591 | 664 | 27 | 1961 | 591 | 621 | 1296 | 228 | 26 | 11.40% | 261 | 48 | 81.61% | 2 | 1121 | 2207 | 50.79% | 1105 | 2262 | 48.85% | 456 | 903 | 50.50% | 1457 | 1001 | 1514 | 462 | 776 | 382 | 47.1% | 7.3% | 91.0% | 98.3 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2207 |
| Neutral Zone Start | 903 |
| Defensive Zone Start | 2262 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2682 |
| Faceoffs Lost | 2690 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.3 | 9.57 |
| 2nd Period | 19.8 | 20.31 |
| 3rd Period | 30.5 | 30.68 |
| Overtime | 31.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.3 | 2.83 |
| Even Strenght Goal | 111 |
|---|---|
| PP Goal | 26 |
| PK Goal | 2 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 14 | 12 |
| Lost | 15 | 19 |
| Overtime Lost | 2 | 0 |
| PP Attempt | 228 |
|---|---|
| PP Goal | 26 |
| PK Attempt | 261 |
| PK Goal Against | 48 |
| Home | |
|---|---|
| Shots For | 30.8 |
| Shots Against | 31.6 |
| Goals For | 2.3 |
| Goals Against | 2.8 |
| Hits | 20.9 |
| Shots Blocked | 9.5 |
| Pim | 10.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-08 | @ | Avalanche1,Kings3 | RECAP | |||||||||||
| 2025-10-10 | @ | Mammoth3,Avalanche4 | RECAP | |||||||||||
| 2025-10-12 | @ | Stars2,Avalanche0 | RECAP | |||||||||||
| 2025-10-14 | @ | Avalanche2,Sabres0 | RECAP | |||||||||||
| 2025-10-17 | @ | Avalanche2,Blue Jackets1 | RECAP | |||||||||||
| 2025-10-19 | @ | Bruins4,Avalanche3 | RECAP | |||||||||||
| 2025-10-22 | @ | Avalanche1,Mammoth4 | RECAP | |||||||||||
| 2025-10-24 | @ | Hurricanes1,Avalanche2 | RECAP | |||||||||||
| 2025-10-26 | @ | Avalanche1,Bruins2 | RECAP | |||||||||||
| 2025-10-27 | @ | Avalanche2,Devils5 | RECAP | |||||||||||
| 2025-10-29 | @ | Devils2,Avalanche3 (OT) | RECAP | |||||||||||
| 2025-11-01 | @ | Avalanche1,Golden Knights4 | RECAP | |||||||||||
| 2025-11-02 | @ | Avalanche3,Sharks2 | RECAP | |||||||||||
| 2025-11-05 | @ | Lightning2,Avalanche6 | RECAP | |||||||||||
| 2025-11-09 | @ | Avalanche1,Oilers3 | RECAP | |||||||||||
| 2025-11-10 | @ | Avalanche3,Canucks2 | RECAP | |||||||||||
| 2025-11-12 | @ | Ducks3,Avalanche0 | RECAP | |||||||||||
| 2025-11-14 | @ | Sabres4,Avalanche0 | RECAP | |||||||||||
| 2025-11-17 | @ | Islanders2,Avalanche1 | RECAP | |||||||||||
| 2025-11-21 | @ | Rangers3,Avalanche2 | RECAP | |||||||||||
| 2025-11-23 | @ | Avalanche0,Predators2 | RECAP | |||||||||||
| 2025-11-24 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
| 2025-11-27 | @ | Sharks2,Avalanche1 | RECAP | |||||||||||
| 2025-11-29 | @ | Avalanche3,Wild4 | RECAP | |||||||||||
| 2025-11-30 | @ | Canadiens4,Avalanche0 | RECAP | |||||||||||
| 2025-12-03 | @ | Canucks1,Avalanche2 | RECAP | |||||||||||
| 2025-12-05 | @ | Avalanche3,Islanders1 | RECAP | |||||||||||
| 2025-12-07 | @ | Avalanche3,Rangers1 | RECAP | |||||||||||
| 2025-12-08 | @ | Avalanche3,Flyers2 (SO) | RECAP | |||||||||||
| 2025-12-10 | @ | Avalanche0,Predators4 | RECAP | |||||||||||
| 2025-12-12 | @ | Panthers4,Avalanche5 | RECAP | |||||||||||
| 2025-12-14 | @ | Predators3,Avalanche4 (OT) | RECAP | |||||||||||
| 2025-12-17 | @ | Avalanche1,Kraken2 | RECAP | |||||||||||
| 2025-12-20 | @ | Jets5,Avalanche2 | RECAP | |||||||||||
| 2025-12-22 | @ | Avalanche1,Wild2 | RECAP | |||||||||||
| 2025-12-24 | @ | Mammoth4,Avalanche2 | RECAP | |||||||||||
| 2025-12-28 | @ | Avalanche1,Golden Knights5 | RECAP | |||||||||||
| 2025-12-30 | @ | Kings4,Avalanche2 | RECAP | |||||||||||
| 2026-01-01 | @ | Blues3,Avalanche4 (OT) | RECAP | |||||||||||
| 2026-01-04 | @ | Avalanche2,Hurricanes0 | RECAP | |||||||||||
| 2026-01-05 | @ | Avalanche3,Panthers2 (SO) | RECAP | |||||||||||
| 2026-01-07 | @ | Avalanche3,Lightning0 | RECAP | |||||||||||
| 2026-01-09 | @ | Senators7,Avalanche3 | RECAP | |||||||||||
| 2026-01-11 | @ | Blue Jackets4,Avalanche2 | RECAP | |||||||||||
| 2026-01-13 | @ | Maple Leafs5,Avalanche2 | RECAP | |||||||||||
| 2026-01-17 | @ | Predators3,Avalanche2 (SO) | RECAP | |||||||||||
| 2026-01-20 | @ | Capitals2,Avalanche4 | RECAP | |||||||||||
| 2026-01-22 | @ | Ducks2,Avalanche3 | RECAP | |||||||||||
| 2026-01-24 | @ | Flyers2,Avalanche4 | RECAP | |||||||||||
| 2026-01-26 | @ | Avalanche2,Maple Leafs4 | RECAP | |||||||||||
| 2026-01-29 | @ | Avalanche1,Senators7 | RECAP | |||||||||||
| 2026-01-30 | @ | Avalanche6,Canadiens2 | RECAP | |||||||||||
| 2026-02-01 | @ | Avalanche5,Red Wings6 | RECAP | |||||||||||
| 2026-02-03 | @ | Red Wings1,Avalanche4 | RECAP | |||||||||||
| 2026-02-05 | @ | Sharks3,Avalanche2 | RECAP | |||||||||||
| 2026-02-26 | @ | Avalanche3,Mammoth1 | RECAP | |||||||||||
| 2026-02-27 | @ | Wild2,Avalanche3 | RECAP | |||||||||||
| 2026-03-01 | @ | Blackhawks1,Avalanche3 | RECAP | |||||||||||
| 2026-03-03 | @ | Avalanche2,Kings3 | RECAP | |||||||||||
| 2026-03-04 | @ | Avalanche0,Ducks4 | RECAP | |||||||||||
| 2026-03-07 | @ | Avalanche2,Stars3 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | Wild3,Avalanche2 (OT) | RECAP | |||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-17 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-23 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-03-31 | @ | |||||||||||||
| 2026-04-02 | @ | |||||||||||||
| 2026-04-05 | @ | |||||||||||||
| 2026-04-06 | @ | |||||||||||||
| 2026-04-08 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| 2026-04-17 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 80,367,500$ | 0$ | 84,552,376$ | 15,132,500$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Pepsi Center | |
| City | Colorado | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 175806 | 145413 | 58399 | 113740 | 28975 |
| Attendance PCT | 94.52% | 93.81% | 94.19% | 91.73% | 93.47% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 10 | 16849 - 93.61% | 1,551,103$ | 48,084,202$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 80,367,500$ | 80,367,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 69,024,603$ | 418,581$ | 68,227,717$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 15,511,033$ | 39 | 423,789$ | 16,527,771$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 17,022,681$ | 80,367,500$ | 49,622,514$ | 48,110,866$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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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 |
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| 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. |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Aiden Celebrini | 2023 | 162 | |||
| Aleksi Malinen | 2021 | 146 | |||
| Alexander Zharovsky | 2025 | 36 | |||
| Andrew Strathmann | 2023 | 104 | |||
| Arttu Karki | 2023 | 102 | |||
| Colby Ambrosio | 2020 | 112 | |||
| Colin Ralph | 2024 | 70 | |||
| Daniil Karpovich | 2023 | 164 | |||
| Evan Gardner | 2024 | 79 | |||
| Gavin Mccarthy | 2023 | 100 | |||
| Iorenzo Canonica | 2021 | 212 | |||
| Jake Martin | 2021 | 176 | |||
| Linus Oberg | |||||
| Lirim Amidovski | 2025 | 132 | |||
| Max Heise | 2025 | 153 | |||
| Max Psenicka | 2025 | 68 | |||
| Ondrej Kos | 2024 | 113 | |||
| Owen McLaughlin | 2021 | 214 | |||
| Patrik Puistola | 2019 | 39 | 7.5 - 7.0 | ||
| Peter Reynolds | 2021 | 164 | |||
| Porter Martone | 2025 | 4 | |||
| Ryan Conmy | 2023 | 183 | |||
| Shamar Moses | 2025 | 127 | |||
| Topi Ronni | 2022 | 71 | |||
| Trevor Wong | 2021 | 167 | |||
| Victor Stjernborg | 2021 | 99 | |||
| Viggo Nordlund | 2025 | 172 | |||
| Will Skahan | 2024 | 81 | |||
| Yevgeni Volokhin | 2023 | 132 |
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