|
|
|
|
|
|
Full Scoreboard »» |
| Colorado Avalanche 21-28-1, 43pts · 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 | 100.00 | 64 | 32 | 92 | 86 | 71 | 91 | 88 | 80 | 58 | 91 | 77 | 79 | 79 | 73 | 72 | 0 | 50 | 90 | 28 | 10,500,000$/2yrs | |||
Kirill Marchenko | 0 | LW/RW | 98.00 | 65 | 33 | 89 | 80 | 80 | 86 | 89 | 74 | 58 | 78 | 80 | 59 | 77 | 68 | 67 | 0 | 49 | 85 | 25 | 5,000,000$/4yrs | |||
Bo Horvat | 0 | C | 98.00 | 69 | 33 | 86 | 76 | 82 | 88 | 89 | 71 | 91 | 71 | 81 | 68 | 76 | 77 | 88 | 0 | 49 | 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 | 100.00 | 62 | 32 | 87 | 68 | 73 | 84 | 82 | 69 | 59 | 71 | 74 | 59 | 71 | 85 | 90 | 0 | 50 | 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 | 45 | 79 | 20 | 950,000$/2yrs | |||
Frank Nazar (R) | 0 | C | 100.00 | 62 | 32 | 82 | 70 | 66 | 83 | 83 | 65 | 78 | 70 | 69 | 66 | 67 | 61 | 60 | 0 | 48 | 77 | 22 | 950,000$/8yrs | |||
Cole Sillinger | 0 | C | 100.00 | 70 | 35 | 82 | 69 | 79 | 82 | 87 | 63 | 77 | 70 | 64 | 67 | 63 | 63 | 61 | 0 | 49 | 76 | 22 | 2,000,000$/1yrs | |||
Marcus Foligno | 18 | LW/RW | 100.00 | 91 | 60 | 65 | 58 | 90 | 78 | 88 | 59 | 59 | 61 | 63 | 74 | 61 | 83 | 80 | 0 | 46 | 75 | 34 | 4,500,000$/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$/2yrs | |||
Jonatan Berggren | 0 | LW/RW | 100.00 | 62 | 33 | 92 | 63 | 75 | 76 | 85 | 61 | 58 | 63 | 66 | 51 | 64 | 67 | 66 | 0 | 24 | 73 | 25 | 1,500,000$/1yrs | |||
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$/5yrs | |||
Brandon Montour | 0 | D | 99.00 | 69 | 39 | 71 | 66 | 75 | 92 | 88 | 58 | 30 | 68 | 71 | 62 | 64 | 78 | 76 | 0 | 44 | 78 | 31 | 6,000,000$/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$/6yrs | |||
Rasmus Sandin | 78 | D | 100.00 | 70 | 34 | 90 | 63 | 70 | 86 | 89 | 60 | 30 | 68 | 57 | 68 | 58 | 68 | 67 | 0 | 42 | 76 | 25 | 4,600,000$/4yrs | |||
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$/2yrs | |||
Sean Behrens (R) | 0 | D | 100.00 | 63 | 38 | 86 | 54 | 67 | 63 | 70 | 51 | 30 | 59 | 50 | 62 | 55 | 57 | 56 | 0 | 44 | 68 | 22 | 905,833$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Sasha Pastujov (R) | 0 | LW/RW | 100.00 | 64 | 38 | 85 | 65 | 72 | 69 | 82 | 64 | 35 | 67 | 62 | 60 | 64 | 58 | 56 | 0 | 42 | 73 | 22 | 825,000$/1yrs | |||
Kyle Burroughs | 0 | D | 73.78 | 71 | 55 | 60 | 55 | 75 | 68 | 72 | 50 | 30 | 57 | 50 | 53 | 50 | 75 | 71 | 0 | 31 | 67 | 30 | 1,100,000$/1yrs | |||
| TEAM AVERAGE | 98.35 | 67 | 36 | 83 | 67 | 75 | 81 | 85 | 63 | 51 | 68 | 67 | 63 | 65 | 70 | 69 | 0 | 42 | 77 | |||||||
| 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 | 96.00 | 83 | 95 | 84 | 91 | 88 | 79 | 89 | 93 | 86 | 95 | 89 | 75 | 80 | 0 | 53 | 91 | 29 | 4,750,000$/5yrs |
Kevin Lankinen | 0 | 100.00 | 80 | 93 | 80 | 76 | 86 | 79 | 87 | 91 | 87 | 93 | 87 | 77 | 81 | 0 | 42 | 89 | 30 | 3,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.00 | 82 | 94 | 82 | 84 | 87 | 79 | 88 | 92 | 87 | 94 | 88 | 76 | 81 | 0 | 48 | 90 | |||
| 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 | 50 | 19 | 21 | 40 | -13 | 6 | 0 | 51 | 168 | 40 | 120 | 11.31% | 16 | 19.54 | 5 | 9 | 14 | 177 | 0 | 0 | 0 | 0 | 2 | 2 | 38.46% | 65 | 0 | 0 | 0 | 0 | 0.82 | 1 | 3 | |
| 2 | Bo Horvat | 0 | C | 47 | 13 | 17 | 30 | -11 | 26 | 0 | 91 | 185 | 48 | 125 | 7.03% | 17 | 24.07 | 4 | 6 | 10 | 166 | 0 | 0 | 0 | 198 | 4 | 0 | 53.73% | 1595 | 0 | 0 | 0 | 0 | 0.53 | 0 | 2 | |
| 3 | Dougie Hamilton | 0 | D | 49 | 8 | 19 | 27 | -6 | 56 | 0 | 101 | 50 | 22 | 36 | 16.00% | 50 | 24.64 | 4 | 5 | 9 | 186 | 0 | 0 | 0 | 146 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 4 | Marcus Pettersson | 0 | D | 50 | 4 | 19 | 23 | -6 | 58 | 10 | 53 | 69 | 21 | 44 | 5.80% | 70 | 22.35 | 1 | 5 | 6 | 161 | 0 | 0 | 0 | 148 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 5 | Marcus Foligno | 18 | LW/RW | 50 | 9 | 13 | 22 | -3 | 86 | 10 | 154 | 141 | 44 | 96 | 6.38% | 14 | 17.41 | 1 | 5 | 6 | 147 | 0 | 1 | 1 | 109 | 2 | 1 | 56.52% | 92 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 6 | Brandon Montour | 0 | D | 50 | 3 | 15 | 18 | -6 | 38 | 0 | 104 | 54 | 19 | 35 | 5.56% | 59 | 22.18 | 2 | 4 | 6 | 151 | 0 | 0 | 0 | 170 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 7 | Jordan Eberle | 0 | RW | 50 | 8 | 9 | 17 | -13 | 5 | 5 | 16 | 152 | 27 | 89 | 5.26% | 10 | 17.91 | 1 | 1 | 2 | 139 | 0 | 0 | 0 | 33 | 2 | 0 | 33.94% | 109 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 8 | Cole Sillinger | 0 | C | 50 | 5 | 12 | 17 | -6 | 2 | 0 | 12 | 130 | 43 | 104 | 3.85% | 5 | 15.30 | 2 | 3 | 5 | 134 | 0 | 0 | 0 | 95 | 2 | 1 | 52.52% | 1011 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 9 | Ivan Barbashev | 0 | C/LW/RW | 49 | 9 | 6 | 15 | -1 | 34 | 0 | 85 | 72 | 22 | 74 | 12.50% | 3 | 18.89 | 2 | 0 | 2 | 109 | 0 | 0 | 0 | 84 | 2 | 0 | 36.99% | 73 | 0 | 0 | 0 | 0 | 0.32 | 0 | 1 | |
| 10 | Kirill Marchenko | 0 | LW/RW | 49 | 6 | 9 | 15 | -10 | 4 | 0 | 53 | 112 | 32 | 82 | 5.36% | 10 | 18.73 | 1 | 1 | 2 | 119 | 0 | 0 | 0 | 149 | 1 | 0 | 38.10% | 84 | 0 | 0 | 0 | 0 | 0.33 | 1 | 2 | |
| 11 | Frank Nazar | 0 | C | 50 | 4 | 9 | 13 | 2 | 25 | 5 | 25 | 86 | 29 | 73 | 4.65% | 8 | 9.25 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 0 | 1 | 0 | 51.50% | 565 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 12 | Tyson Foerster | 0 | C/RW | 50 | 8 | 4 | 12 | -5 | 24 | 0 | 64 | 101 | 20 | 71 | 7.92% | 10 | 10.70 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 4 | 41.08% | 185 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 13 | Rasmus Sandin | 78 | D | 50 | 3 | 7 | 10 | -12 | 14 | 0 | 50 | 51 | 10 | 31 | 5.88% | 59 | 17.77 | 3 | 3 | 6 | 72 | 0 | 0 | 0 | 115 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 14 | Will Smith | 0 | C | 50 | 1 | 6 | 7 | -7 | 0 | 0 | 12 | 49 | 16 | 43 | 2.04% | 5 | 9.05 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 43.00% | 507 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 15 | Nicholas Robertson | 0 | LW | 50 | 2 | 3 | 5 | -7 | 6 | 0 | 19 | 45 | 16 | 37 | 4.44% | 2 | 8.78 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 30.00% | 20 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 16 | Kyle Burroughs | 0 | D | 27 | 0 | 4 | 4 | -8 | 29 | 5 | 47 | 5 | 3 | 5 | 0.00% | 21 | 12.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 17 | Jonatan Berggren | 0 | LW/RW | 31 | 1 | 1 | 2 | 2 | 2 | 0 | 9 | 12 | 3 | 8 | 8.33% | 2 | 7.81 | 0 | 1 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 52.94% | 17 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 18 | Nils Lundkvist | 0 | D | 34 | 0 | 2 | 2 | -3 | 20 | 0 | 31 | 3 | 2 | 5 | 0.00% | 28 | 13.56 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
| 19 | Sean Behrens | 0 | D | 16 | 0 | 2 | 2 | 3 | 27 | 5 | 22 | 8 | 1 | 2 | 0.00% | 18 | 12.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 20 | Sasha Pastujov | 0 | LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 855 | 103 | 178 | 281 | -110 | 462 | 40 | 999 | 1493 | 418 | 1080 | 6.90% | 407 | 16.31 | 26 | 43 | 69 | 1612 | 0 | 1 | 1 | 1282 | 20 | 9 | 49.99% | 4323 | 0 | 0 | 0 | 0 | 0.40 | 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 | 33 | 13 | 16 | 1 | 0.916 | 2.52 | 1905 | 6 | 1 | 80 | 957 | 0 | 2 | 0 | 0.667 | 6 | 30 | 20 | 3 | 0 | 4 | |
| 2 | Kevin Lankinen | 20 | 8 | 12 | 0 | 0.905 | 3.12 | 1115 | 0 | 2 | 58 | 613 | 0 | 1 | 1 | 1.000 | 3 | 20 | 30 | 4 | 0 | 0 | |
| Team Total or Average | 53 | 21 | 28 | 1 | 0.912 | 2.74 | 3020 | 6 | 3 | 138 | 1570 | 0 | 3 | 1 | 0.778 | 9 | 50 | 50 | 7 | 0 | 4 |
| Projected Total Cap Hit | 85,295,713$ |
| Projected Cap Space | 10,204,287$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 50,615,158$ |
| Players In Salary Cap | 21 |
| LTIR Players | 1 |
| 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 | ||
Cole Sillinger ![]() | C | 22 | 2,000,000$ | 2,000,000$ | RFA | ||||||
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$ |
Ivan Barbashev ![]() | C/LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Jonatan Berggren ![]() | LW/RW | 25 | 1,500,000$ | 1,500,000$ | 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$ | ||||
Kyle Burroughs | D | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
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 | 25 | 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 | ||||||
Sean Behrens | D | 22 | 905,833$ | 905,833$ | 905,833$ | 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 | 19 | 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 | ||||||
Devin Kaplan | RW | 22 | 0$ | RFA | |||||||
Dmitri Kuzmin | D | 22 | 795,556$ | 795,556$ | RFA | ||||||
Erik Portillo | G | 25 | 950,000$ | 950,000$ | RFA | ||||||
Georgii Merkulov | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Gracyn Sawchyn | C | 21 | 0$ | RFA | |||||||
Hugo Alnefelt | G | 24 | 900,000$ | 900,000$ | RFA | ||||||
Jack Matier | D | 22 | 801,667$ | 801,667$ | RFA | ||||||
Jakub Malek | G | 23 | 867,500$ | 867,500$ | RFA | ||||||
Jean-Luc Foudy | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Julian Lutz | C/LW/RW | 21 | 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 | |||||
Lukas Cormier | D | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
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 | |||||
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 |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 52 | 35 | 45 | 14 | 26 | 13 | 36.4% | 8.1% | 89.7% | 97.8 | Unlucky | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 33 | 6 | 14 | 13 | 0 | 49 | 14 | 16 | 14 | 2 | 1 | 50.00% | 8 | 3 | 62.50% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 21 | 14 | 27 | 7 | 11 | 5 | 33.3% | 9.1% | 85.7% | 94.8 | FUN | |
| 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 50 | 36 | 45 | 14 | 23 | 11 | 62.5% | 7.0% | 92.3% | 99.3 | DULL | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 12 | 7 | 11 | 0 | 28 | 12 | 16 | 21 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 23 | 15 | 23 | 7 | 12 | 5 | 0.0% | 0.0% | 85.7% | 85.7 | Unlucky | |
| 8 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 25 | 18 | 22 | 7 | 11 | 5 | 50.0% | 10.0% | 94.4% | 104.4 | LUCKY | |
| 9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 48 | 16 | 15 | 17 | 0 | 80 | 17 | 28 | 38 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 44 | 28 | 51 | 15 | 24 | 11 | 50.0% | 8.3% | 92.5% | 100.8 | DULL | |
| 10 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 52 | 36 | 41 | 13 | 26 | 14 | 71.4% | 8.1% | 95.1% | 103.1 | DULL | |
| 11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 2 | 0 | 0 | 66 | 22 | 21 | 23 | 0 | 69 | 16 | 19 | 41 | 9 | 1 | 11.11% | 6 | 1 | 83.33% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 49 | 33 | 44 | 14 | 26 | 13 | 25.0% | 4.5% | 89.9% | 94.4 | Unlucky | |
| 12 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 98 | 66 | 96 | 31 | 54 | 27 | 35.7% | 5.0% | 89.8% | 94.8 | Unlucky | |
| 13 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 49 | 34 | 45 | 16 | 25 | 13 | 71.4% | 11.0% | 96.0% | 107.0 | LUCKY | |
| 14 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 27 | 19 | 19 | 6 | 13 | 7 | 33.3% | 2.7% | 87.0% | 89.7 | Unlucky | |
| 15 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 22 | 15 | 27 | 7 | 12 | 6 | 60.0% | 12.5% | 91.2% | 103.7 | LUCKY | |
| 16 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 93 | 28 | 29 | 36 | 0 | 96 | 25 | 24 | 65 | 13 | 1 | 7.69% | 11 | 4 | 63.64% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 69 | 47 | 72 | 21 | 37 | 19 | 46.2% | 7.5% | 88.5% | 96.1 | Unlucky | |
| 17 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 46 | 31 | 47 | 14 | 25 | 13 | 44.4% | 6.5% | 87.0% | 93.4 | Unlucky | |
| 18 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 46 | 31 | 48 | 15 | 24 | 12 | 25.0% | 3.6% | 93.1% | 96.7 | DULL | |
| 19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 29 | 6 | 10 | 13 | 0 | 24 | 15 | 15 | 28 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 24 | 16 | 23 | 7 | 12 | 5 | 50.0% | 6.9% | 83.3% | 90.2 | Unlucky | |
| 20 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 47 | 33 | 51 | 15 | 26 | 13 | 50.0% | 10.7% | 90.3% | 101.0 | FUN | |
| 21 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 41 | 28 | 54 | 15 | 24 | 11 | 57.1% | 8.3% | 94.5% | 102.8 | DULL | |
| 22 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 26 | 19 | 22 | 6 | 10 | 5 | 33.3% | 4.0% | 83.9% | 87.9 | Unlucky | |
| 23 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 55 | 17 | 16 | 22 | 0 | 50 | 22 | 12 | 43 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 44 | 30 | 49 | 15 | 25 | 12 | 33.3% | 5.5% | 90.0% | 95.5 | Unlucky | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 9 | 3 | 10 | 0 | 27 | 5 | 6 | 22 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 25 | 18 | 23 | 6 | 10 | 5 | 0.0% | 0.0% | 92.6% | 92.6 | DULL | |
| 25 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 43 | 29 | 52 | 14 | 23 | 11 | 25.0% | 7.5% | 86.8% | 94.3 | Unlucky | |
| 26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 1 | 0 | 38 | 6 | 14 | 18 | 0 | 60 | 14 | 22 | 27 | 5 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 41 | 27 | 54 | 15 | 24 | 10 | 57.1% | 10.5% | 93.3% | 103.9 | LUCKY | |
| 27 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 45 | 30 | 50 | 15 | 24 | 11 | 11.1% | 4.3% | 86.4% | 90.6 | Unlucky | |
| 28 | 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 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 24 | 17 | 22 | 7 | 12 | 5 | 33.3% | 2.9% | 93.1% | 96.0 | DULL | |
| _Vs Division | 13 | 1 | 9 | 0 | 2 | 0 | 0 | 1 | 25 | 43 | -18 | 7 | 0.269 | 25 | 45 | 70 | 0 | 0 | 7 | 7 | 9 | 2 | 395 | 122 | 113 | 152 | 10 | 410 | 118 | 130 | 276 | 46 | 4 | 8.70% | 57 | 14 | 75.44% | 0 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 311 | 213 | 316 | 97 | 163 | 81 | 42.0% | 6.3% | 89.5% | 95.8 | Unlucky | |
| _Vs Conference | 25 | 5 | 17 | 0 | 2 | 0 | 0 | 1 | 44 | 76 | -32 | 15 | 0.300 | 44 | 77 | 121 | 1 | 0 | 14 | 14 | 14 | 2 | 734 | 226 | 226 | 274 | 10 | 768 | 216 | 235 | 513 | 91 | 7 | 7.69% | 105 | 20 | 80.95% | 1 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 596 | 408 | 599 | 187 | 315 | 156 | 39.8% | 6.0% | 90.1% | 96.1 | Unlucky | |
| _Since Last GM Reset | 50 | 16 | 28 | 0 | 3 | 0 | 2 | 1 | 107 | 140 | -33 | 43 | 0.430 | 107 | 183 | 290 | 1 | 3 | 37 | 36 | 29 | 5 | 1536 | 501 | 457 | 561 | 25 | 1571 | 461 | 486 | 1023 | 190 | 25 | 13.16% | 206 | 36 | 82.52% | 1 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 1189 | 818 | 1208 | 371 | 628 | 312 | 44.1% | 7.0% | 91.1% | 98.1 | Unlucky | |
| Total | 50 | 16 | 28 | 0 | 3 | 0 | 2 | 1 | 107 | 140 | -33 | 43 | 0.430 | 107 | 183 | 290 | 1 | 3 | 37 | 36 | 29 | 5 | 1536 | 501 | 457 | 561 | 25 | 1571 | 461 | 486 | 1023 | 190 | 25 | 13.16% | 206 | 36 | 82.52% | 1 | 911 | 1774 | 51.35% | 894 | 1807 | 49.47% | 358 | 719 | 49.79% | 1189 | 818 | 1208 | 371 | 628 | 312 | 44.1% | 7.0% | 91.1% | 98.1 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1774 |
| Neutral Zone Start | 719 |
| Defensive Zone Start | 1807 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2163 |
| Faceoffs Lost | 2137 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 19.2 | 20.31 |
| 3rd Period | 30.4 | 30.68 |
| Overtime | 30.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.0 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 80 |
|---|---|
| PP Goal | 25 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 11 | 10 |
| Lost | 14 | 14 |
| Overtime Lost | 1 | 0 |
| PP Attempt | 190 |
|---|---|
| PP Goal | 25 |
| PK Attempt | 206 |
| PK Goal Against | 36 |
| Home | |
|---|---|
| Shots For | 30.7 |
| Shots Against | 31.4 |
| Goals For | 2.1 |
| Goals Against | 2.8 |
| Hits | 20.5 |
| Shots Blocked | 9.2 |
| Pim | 9.7 |
| 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 | @ | |||||||||||||
| 2026-01-30 | @ | |||||||||||||
| 2026-02-01 | @ | |||||||||||||
| 2026-02-03 | @ | |||||||||||||
| 2026-02-05 | @ | |||||||||||||
| 2026-02-26 | @ | |||||||||||||
| 2026-02-27 | @ | |||||||||||||
| 2026-03-01 | @ | |||||||||||||
| 2026-03-03 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | |||||||||||||
| 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 |
| 82,205,833$ | 0$ | 85,295,713$ | 13,294,167$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Pepsi Center | |
| City | Colorado | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 146942 | 123032 | 49269 | 95716 | 24323 |
| Attendance PCT | 94.19% | 94.64% | 94.75% | 92.03% | 93.55% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 15 | 16895 - 93.86% | 1,552,902$ | 40,375,450$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 82,205,833$ | 82,205,833$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 51,193,276$ | 428,155$ | 50,615,158$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 23,293,529$ | 81 | 433,364$ | 35,102,484$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 36,271,896$ | 82,205,833$ | 60,488,313$ | 47,509,946$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
| 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 |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

