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Full Scoreboard »» |
| Colorado Avalanche 4-6-0, 8pts · 13th 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 | 45 | 90 | 28 | 10,500,000$/2yrs | |||
Bo Horvat | 0 | C | 98.00 | 68 | 35 | 88 | 76 | 82 | 89 | 90 | 72 | 90 | 72 | 79 | 66 | 76 | 76 | 87 | 0 | 45 | 84 | 30 | 8,000,000$/6yrs | |||
Kirill Marchenko | 0 | LW/RW | 98.00 | 64 | 33 | 92 | 75 | 80 | 85 | 89 | 72 | 59 | 72 | 77 | 60 | 74 | 66 | 66 | 0 | 46 | 82 | 25 | 5,000,000$/4yrs | |||
Ivan Barbashev | 0 | C/LW/RW | 100.00 | 78 | 36 | 88 | 69 | 77 | 83 | 89 | 68 | 60 | 71 | 73 | 59 | 71 | 74 | 73 | 0 | 40 | 80 | 29 | 4,250,000$/2yrs | |||
Jordan Eberle | 0 | RW | 100.00 | 59 | 34 | 90 | 66 | 73 | 84 | 84 | 68 | 60 | 71 | 69 | 60 | 69 | 84 | 89 | 0 | 44 | 79 | 35 | 4,750,000$/1yrs | |||
Marcus Foligno | 18 | LW/RW | 100.00 | 91 | 64 | 66 | 61 | 90 | 80 | 85 | 63 | 59 | 64 | 67 | 78 | 65 | 82 | 79 | 0 | 44 | 78 | 34 | 4,500,000$/3yrs | |||
Cole Sillinger | 0 | C | 100.00 | 72 | 38 | 80 | 69 | 79 | 83 | 87 | 64 | 81 | 68 | 66 | 77 | 65 | 62 | 60 | 0 | 44 | 78 | 22 | 2,000,000$/1yrs | |||
Tyson Foerster | 0 | C/RW | 100.00 | 69 | 34 | 82 | 69 | 78 | 84 | 90 | 68 | 57 | 63 | 73 | 65 | 71 | 64 | 62 | 0 | 47 | 77 | 23 | 3,750,000$/2yrs | |||
Will Smith (R) | 0 | C | 100.00 | 55 | 32 | 91 | 76 | 71 | 82 | 76 | 65 | 61 | 71 | 71 | 51 | 68 | 58 | 57 | 0 | 40 | 77 | 20 | 950,000$/2yrs | |||
Frank Nazar (R) | 0 | C | 100.00 | 62 | 32 | 85 | 70 | 66 | 82 | 74 | 63 | 76 | 66 | 70 | 63 | 66 | 60 | 59 | 0 | 46 | 76 | 21 | 950,000$/1yrs | |||
Nicholas Robertson | 0 | LW | 100.00 | 67 | 32 | 94 | 67 | 68 | 75 | 84 | 63 | 58 | 61 | 70 | 59 | 67 | 64 | 63 | 0 | 41 | 75 | 24 | 1,000,000$/2yrs | |||
Isac Lundestrom | 0 | C/LW | 100.00 | 65 | 33 | 96 | 59 | 75 | 79 | 84 | 58 | 80 | 60 | 58 | 78 | 58 | 67 | 67 | 0 | 44 | 73 | 25 | 1,500,000$/2yrs | |||
Jonatan Berggren | 0 | LW/RW | 100.00 | 61 | 33 | 93 | 63 | 75 | 77 | 79 | 62 | 58 | 63 | 65 | 53 | 64 | 66 | 65 | 0 | 29 | 73 | 25 | 1,500,000$/1yrs | |||
Roman Josi | 0 | D | 99.00 | 63 | 35 | 84 | 76 | 79 | 97 | 86 | 71 | 30 | 83 | 72 | 71 | 72 | 85 | 97 | 0 | 46 | 89 | 35 | 9,000,000$/3yrs | |||
Dougie Hamilton | 0 | D | 100.00 | 69 | 34 | 79 | 75 | 94 | 89 | 78 | 62 | 30 | 77 | 67 | 63 | 64 | 79 | 77 | 0 | 40 | 83 | 32 | 8,000,000$/5yrs | |||
Marcus Pettersson | 0 | D | 100.00 | 71 | 37 | 81 | 62 | 73 | 93 | 90 | 65 | 30 | 69 | 57 | 78 | 61 | 74 | 72 | 0 | 39 | 79 | 29 | 5,500,000$/6yrs | |||
Brandon Montour | 0 | D | 100.00 | 71 | 36 | 73 | 65 | 75 | 95 | 88 | 60 | 30 | 69 | 68 | 62 | 64 | 77 | 75 | 0 | 40 | 78 | 31 | 6,000,000$/5yrs | |||
Rasmus Sandin | 78 | D | 100.00 | 69 | 34 | 89 | 63 | 70 | 89 | 88 | 61 | 30 | 69 | 57 | 65 | 59 | 67 | 66 | 0 | 37 | 76 | 25 | 4,600,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Georgii Merkulov | 0 | C/LW | 100.00 | 61 | 38 | 90 | 61 | 71 | 70 | 73 | 62 | 47 | 63 | 61 | 66 | 62 | 67 | 65 | 0 | 38 | 72 | 25 | 800,000$/2yrs | |||
Blake Murray (R) | 0 | C | 100.00 | 59 | 38 | 92 | 51 | 75 | 60 | 68 | 61 | 71 | 51 | 49 | 64 | 50 | 61 | 60 | 0 | 31 | 65 | 24 | 800,000$/2yrs | |||
Kyle Burroughs | 0 | D | 100.00 | 85 | 47 | 65 | 55 | 75 | 82 | 81 | 56 | 30 | 57 | 53 | 70 | 55 | 75 | 71 | 0 | 37 | 72 | 30 | 1,100,000$/1yrs | |||
| TEAM AVERAGE | 99.76 | 68 | 37 | 85 | 67 | 76 | 83 | 83 | 65 | 55 | 68 | 67 | 66 | 66 | 71 | 71 | 0 | 41 | 78 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Karel Vejmelka | 0 | 100.00 | 84 | 94 | 81 | 91 | 87 | 79 | 88 | 93 | 85 | 94 | 88 | 74 | 78 | 0 | 40 | 90 | 29 | 4,750,000$/5yrs |
Kevin Lankinen | 0 | 99.00 | 84 | 87 | 77 | 76 | 86 | 78 | 86 | 88 | 84 | 89 | 86 | 76 | 80 | 0 | 38 | 87 | 30 | 3,200,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 84 | 91 | 79 | 84 | 87 | 79 | 87 | 91 | 85 | 92 | 87 | 75 | 79 | 0 | 39 | 89 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Don Granato | 75 | 79 | 87 | 90 | 75 | 70 | 68 | USA | 56 | 4 | 1,000,000$ |
| 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 | Dougie Hamilton | 0 | D | 9 | 3 | 6 | 9 | 1 | 8 | 0 | 17 | 16 | 4 | 6 | 18.75% | 11 | 22.10 | 2 | 3 | 5 | 36 | 0 | 0 | 0 | 10 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
| 2 | Jordan Eberle | 0 | RW | 10 | 2 | 3 | 5 | 3 | 0 | 0 | 0 | 25 | 8 | 23 | 8.00% | 1 | 16.51 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 18.18% | 11 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 3 | Mitchell Marner | 0 | RW | 10 | 4 | 1 | 5 | -7 | 2 | 0 | 10 | 32 | 8 | 23 | 12.50% | 2 | 18.92 | 2 | 1 | 3 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 20.00% | 10 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 4 | Frank Nazar | 0 | C | 10 | 2 | 3 | 5 | 2 | 2 | 0 | 10 | 9 | 4 | 8 | 22.22% | 3 | 7.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.96% | 98 | 0 | 0 | 0 | 0 | 1.31 | 0 | 0 | |
| 5 | Bo Horvat | 0 | C | 10 | 1 | 3 | 4 | -7 | 2 | 0 | 16 | 32 | 13 | 24 | 3.13% | 4 | 23.02 | 1 | 2 | 3 | 28 | 0 | 0 | 0 | 38 | 0 | 0 | 53.00% | 317 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 6 | Isac Lundestrom | 0 | C/LW | 10 | 2 | 2 | 4 | 2 | 0 | 0 | 8 | 10 | 5 | 7 | 20.00% | 3 | 8.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
| 7 | Marcus Foligno | 18 | LW/RW | 10 | 3 | 1 | 4 | 3 | 12 | 0 | 34 | 24 | 9 | 26 | 12.50% | 4 | 18.57 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 19 | 1 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 8 | Cole Sillinger | 0 | C | 10 | 1 | 3 | 4 | 3 | 0 | 0 | 2 | 37 | 9 | 27 | 2.70% | 2 | 18.47 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 18 | 1 | 0 | 52.84% | 229 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 9 | Brandon Montour | 0 | D | 10 | 0 | 3 | 3 | 3 | 12 | 0 | 17 | 4 | 3 | 3 | 0.00% | 6 | 20.71 | 0 | 1 | 1 | 25 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
| 10 | Ivan Barbashev | 0 | C/LW/RW | 9 | 1 | 2 | 3 | 4 | 2 | 0 | 8 | 20 | 8 | 16 | 5.00% | 1 | 17.33 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 11 | Marcus Pettersson | 0 | D | 10 | 0 | 2 | 2 | 3 | 8 | 0 | 11 | 15 | 6 | 6 | 0.00% | 6 | 20.29 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 12 | Kyle Burroughs | 0 | D | 3 | 0 | 2 | 2 | 0 | 8 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 13.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
| 13 | Tyson Foerster | 0 | C/RW | 10 | 2 | 0 | 2 | -2 | 2 | 0 | 20 | 13 | 4 | 11 | 15.38% | 3 | 10.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 14 | Kirill Marchenko | 0 | LW/RW | 10 | 0 | 2 | 2 | -7 | 0 | 0 | 10 | 28 | 11 | 18 | 0.00% | 3 | 23.10 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 39 | 0 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 15 | Will Smith | 0 | C | 10 | 0 | 2 | 2 | -2 | 0 | 0 | 2 | 10 | 5 | 9 | 0.00% | 1 | 10.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.59% | 108 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 16 | Rasmus Sandin | 78 | D | 10 | 0 | 1 | 1 | -1 | 4 | 0 | 17 | 9 | 0 | 4 | 0.00% | 10 | 14.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
| 17 | Roman Josi | 0 | D | 10 | 0 | 1 | 1 | -6 | 8 | 0 | 15 | 14 | 4 | 6 | 0.00% | 21 | 25.52 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | |
| 18 | Nicholas Robertson | 0 | LW | 10 | 0 | 1 | 1 | -2 | 2 | 0 | 2 | 11 | 5 | 10 | 0.00% | 0 | 10.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
| 19 | Jonatan Berggren | 0 | LW/RW | 10 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 11 | 2 | 5 | 0.00% | 2 | 10.92 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
| 20 | Georgii Merkulov | 0 | C/LW | 5 | 1 | 0 | 1 | 2 | 0 | 0 | 3 | 1 | 0 | 3 | 100.00% | 2 | 8.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
| Team Total or Average | 186 | 22 | 39 | 61 | -9 | 72 | 0 | 209 | 323 | 108 | 235 | 6.81% | 85 | 16.19 | 5 | 9 | 14 | 321 | 0 | 0 | 0 | 234 | 6 | 2 | 48.77% | 857 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Karel Vejmelka | 6 | 3 | 2 | 0 | 0.945 | 1.68 | 322 | 0 | 1 | 9 | 165 | 0 | 0 | 0 | 0.000 | 0 | 5 | 5 | 2 | 0 | 0 | |
| 2 | Kevin Lankinen | 5 | 1 | 4 | 0 | 0.877 | 3.48 | 276 | 0 | 0 | 16 | 130 | 0 | 0 | 0 | 0.000 | 0 | 5 | 5 | 1 | 0 | 0 | |
| Team Total or Average | 11 | 4 | 6 | 0 | 0.915 | 2.51 | 598 | 0 | 1 | 25 | 295 | 0 | 0 | 0 | 0.000 | 0 | 10 | 10 | 3 | 0 | 0 |
| Projected Total Cap Hit | 95,055,741$ |
| Projected Cap Space | 444,259$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 10,312,758$ |
| Players In Salary Cap | 23 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Blake Murray | C | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
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 | 21 | 950,000$ | 950,000$ | RFA | ||||||
Georgii Merkulov | C/LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Isac Lundestrom ![]() | C/LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Ivan Barbashev ![]() | C/LW/RW | 29 | 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 | |||||
Rasmus Sandin ![]() | D | 25 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||
Roman Josi ![]() | D | 35 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Tyson Foerster ![]() | C/RW | 23 | 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 | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Ben Danford | D | 19 | 964,000$ | 964,000$ | 964,000$ | RFA | |||||
Braeden Kressler | C | 22 | 800,556$ | 800,556$ | RFA | ||||||
Bryce McConnell-Barker | C | 21 | 870,000$ | 870,000$ | RFA | ||||||
Cam Hausinger | RW | 26 | 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 | ||||||
Dmitri Kuzmin | D | 22 | 795,556$ | 795,556$ | RFA | ||||||
Erik Portillo | G | 25 | 950,000$ | 950,000$ | 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 | 20 | 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 | 20 | 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 | 27 | 800,000$ | 800,000$ | |||||||
Ryan Johnson | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Sasha Pastujov | LW/RW | 22 | 825,000$ | 825,000$ | RFA | ||||||
Thomas Caron | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Vincent Iorio | D | 22 | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 29 | 14 | 8 | 7 | 0 | 35 | 9 | 10 | 23 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 23 | 16 | 22 | 7 | 13 | 6 | 28.6% | 6.9% | 85.7% | 92.6 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 36 | 14 | 13 | 9 | 0 | 30 | 5 | 10 | 10 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 27 | 19 | 21 | 6 | 11 | 6 | 50.0% | 5.6% | 96.7% | 102.2 | DULL | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 15 | 8 | 7 | 0 | 24 | 11 | 2 | 18 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 26 | 17 | 20 | 7 | 13 | 6 | 0.0% | 3.3% | 87.5% | 90.8 | Unlucky | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 60 | 17 | 20 | 23 | 0 | 57 | 18 | 20 | 41 | 8 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 47 | 32 | 46 | 14 | 26 | 13 | 62.5% | 8.3% | 87.7% | 96.1 | Unlucky | |
| 5 | 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 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 46 | 31 | 47 | 14 | 25 | 13 | 44.4% | 6.5% | 87.0% | 93.4 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 28 | 6 | 13 | 9 | 0 | 26 | 16 | 4 | 22 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 22 | 14 | 24 | 8 | 12 | 6 | 100.0% | 7.1% | 100.0% | 107.1 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 8 | 4 | 8 | 0 | 50 | 11 | 8 | 22 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 17 | 11 | 29 | 8 | 13 | 5 | 100.0% | 10.0% | 98.0% | 108.0 | LUCKY | |
| 8 | 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 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 25 | 18 | 23 | 6 | 10 | 5 | 0.0% | 0.0% | 92.6% | 92.6 | DULL | |
| _Vs Division | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 82 | 26 | 23 | 33 | 0 | 84 | 23 | 26 | 63 | 9 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 73 | 51 | 69 | 21 | 37 | 19 | 50.0% | 6.1% | 89.3% | 95.4 | Unlucky | |
| _Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 112 | 41 | 31 | 40 | 0 | 108 | 34 | 28 | 81 | 13 | 1 | 7.69% | 13 | 4 | 69.23% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 99 | 69 | 89 | 28 | 51 | 26 | 38.5% | 5.4% | 88.9% | 94.2 | Unlucky | |
| _Since Last GM Reset | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 18 | 25 | -7 | 8 | 0.400 | 18 | 34 | 52 | 0 | 1 | 7 | 8 | 3 | 0 | 287 | 111 | 85 | 91 | 0 | 295 | 93 | 74 | 197 | 32 | 3 | 9.38% | 36 | 6 | 83.33% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 236 | 162 | 235 | 71 | 127 | 63 | 44.1% | 6.3% | 91.5% | 97.8 | DULL | |
| Total | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 18 | 25 | -7 | 8 | 0.400 | 18 | 34 | 52 | 0 | 1 | 7 | 8 | 3 | 0 | 287 | 111 | 85 | 91 | 0 | 295 | 93 | 74 | 197 | 32 | 3 | 9.38% | 36 | 6 | 83.33% | 0 | 171 | 346 | 49.42% | 163 | 338 | 48.22% | 74 | 151 | 49.01% | 236 | 162 | 235 | 71 | 127 | 63 | 44.1% | 6.3% | 91.5% | 97.8 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 346 |
| Neutral Zone Start | 151 |
| Defensive Zone Start | 338 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 408 |
| Faceoffs Lost | 427 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.1 | 9.57 |
| 2nd Period | 19.6 | 20.31 |
| 3rd Period | 28.7 | 30.68 |
| Overtime | 28.7 | 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 | 1.8 | 2.67 |
| Overtime | 1.8 | 2.83 |
| Even Strenght Goal | 15 |
|---|---|
| PP Goal | 3 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 2 | 2 |
| Lost | 2 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 32 |
|---|---|
| PP Goal | 3 |
| PK Attempt | 36 |
| PK Goal Against | 6 |
| Home | |
|---|---|
| Shots For | 28.7 |
| Shots Against | 29.5 |
| Goals For | 1.8 |
| Goals Against | 2.5 |
| Hits | 19.7 |
| Shots Blocked | 9.3 |
| Pim | 7.4 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 95,150,000$ | 0$ | 95,055,741$ | 350,000$ |
| 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 | 22765 | 19874 | 7884 | 14609 | 3694 |
| Attendance PCT | 94.85% | 99.37% | 98.55% | 91.31% | 92.35% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 37 | 17207 - 95.59% | 1,575,894$ | 6,303,577$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 95,150,000$ | 95,150,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 10,422,135$ | 495,573$ | 10,312,758$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 58,308,087$ | 171 | 500,781$ | 85,633,551$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 88,259,754$ | 95,150,000$ | 68,717,393$ | 38,765,726$ |
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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) |
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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 | |||
| Alex Huang | 2025 | 100 | |||
| Alexander Zharovsky | 2025 | 36 | |||
| Andrew Strathmann | 2023 | 104 | |||
| Arttu Karki | 2023 | 102 | |||
| Colby Ambrosio | 2020 | 112 | |||
| Colin Ralph | 2024 | 70 | |||
| Daniil Karpovich | 2023 | 164 | |||
| Devin Kaplan | 2022 | 76 | |||
| Evan Gardner | 2024 | 79 | |||
| Gavin Mccarthy | 2023 | 100 | |||
| Gracyn Sawchyn | 2023 | 33 | |||
| 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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