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Full Scoreboard »» |
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Full Scoreboard »» |
Colorado Avalanche 3-4-0, 6pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 64 | 32 | 92 | 86 | 71 | 91 | 88 | 80 | 58 | 91 | 77 | 79 | 79 | 73 | 72 | 0 | 46 | 90 | 28 | 10,500,000$/2yrs | |||
![]() | 0 | C | 99.00 | 68 | 35 | 88 | 76 | 82 | 89 | 90 | 72 | 90 | 72 | 79 | 66 | 76 | 76 | 87 | 0 | 46 | 84 | 30 | 8,000,000$/6yrs | |||
![]() | 0 | LW/RW | 99.00 | 64 | 33 | 92 | 75 | 80 | 85 | 89 | 72 | 59 | 72 | 77 | 60 | 74 | 66 | 66 | 0 | 47 | 82 | 25 | 5,000,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 59 | 34 | 90 | 66 | 73 | 84 | 84 | 68 | 60 | 71 | 69 | 60 | 69 | 84 | 89 | 0 | 45 | 79 | 35 | 4,750,000$/1yrs | |||
![]() | 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$/3yrs | |||
![]() | 0 | C | 100.00 | 72 | 38 | 80 | 69 | 79 | 83 | 87 | 64 | 81 | 68 | 66 | 77 | 65 | 62 | 60 | 0 | 45 | 78 | 22 | 2,000,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 34 | 82 | 69 | 78 | 84 | 90 | 68 | 57 | 63 | 73 | 65 | 71 | 64 | 62 | 0 | 48 | 77 | 23 | 3,750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 32 | 91 | 76 | 71 | 82 | 76 | 65 | 61 | 71 | 71 | 51 | 68 | 58 | 57 | 0 | 41 | 77 | 20 | 950,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 32 | 85 | 70 | 66 | 82 | 74 | 63 | 76 | 66 | 70 | 63 | 66 | 60 | 59 | 0 | 47 | 76 | 21 | 950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 32 | 94 | 67 | 68 | 75 | 84 | 63 | 58 | 61 | 70 | 59 | 67 | 64 | 63 | 0 | 42 | 75 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 33 | 96 | 59 | 75 | 79 | 84 | 58 | 80 | 60 | 58 | 78 | 58 | 67 | 67 | 0 | 45 | 73 | 25 | 1,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 33 | 93 | 63 | 75 | 77 | 79 | 62 | 58 | 63 | 65 | 53 | 64 | 66 | 65 | 0 | 30 | 73 | 25 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 35 | 84 | 76 | 79 | 97 | 86 | 71 | 30 | 83 | 72 | 71 | 72 | 85 | 97 | 0 | 47 | 89 | 35 | 9,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 86 | 72 | 74 | 96 | 90 | 64 | 30 | 78 | 64 | 64 | 64 | 84 | 95 | 0 | 42 | 83 | 35 | 11,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 37 | 81 | 62 | 73 | 93 | 90 | 65 | 30 | 69 | 57 | 78 | 61 | 74 | 72 | 0 | 40 | 79 | 29 | 5,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 71 | 36 | 73 | 65 | 75 | 95 | 88 | 60 | 30 | 69 | 68 | 62 | 64 | 77 | 75 | 0 | 40 | 78 | 31 | 6,000,000$/5yrs | |||
![]() | 78 | D | 100.00 | 69 | 34 | 89 | 63 | 70 | 89 | 88 | 61 | 30 | 69 | 57 | 65 | 59 | 67 | 66 | 0 | 38 | 76 | 25 | 4,600,000$/4yrs | |||
![]() | 0 | D | 100.00 | 60 | 32 | 89 | 60 | 71 | 89 | 81 | 55 | 30 | 63 | 61 | 62 | 58 | 63 | 62 | 0 | 41 | 72 | 23 | 3,500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 61 | 38 | 90 | 61 | 71 | 70 | 73 | 62 | 47 | 63 | 61 | 66 | 62 | 67 | 65 | 0 | 41 | 72 | 25 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 59 | 38 | 92 | 51 | 75 | 60 | 68 | 61 | 71 | 51 | 49 | 64 | 50 | 61 | 60 | 0 | 34 | 65 | 24 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 47 | 65 | 55 | 75 | 82 | 81 | 56 | 30 | 57 | 53 | 70 | 55 | 75 | 71 | 0 | 40 | 72 | 30 | 1,100,000$/1yrs | |||
TEAM AVERAGE | 99.90 | 66 | 36 | 86 | 67 | 75 | 84 | 84 | 64 | 54 | 68 | 66 | 66 | 65 | 70 | 71 | 0 | 42 | 78 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 94 | 81 | 91 | 87 | 79 | 88 | 93 | 85 | 94 | 88 | 74 | 78 | 0 | 40 | 90 | 29 | 4,750,000$/5yrs |
![]() | 0 | 99.00 | 84 | 87 | 77 | 76 | 86 | 78 | 86 | 88 | 84 | 89 | 86 | 76 | 80 | 0 | 43 | 87 | 30 | 3,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 84 | 91 | 79 | 84 | 87 | 79 | 87 | 91 | 85 | 92 | 87 | 75 | 79 | 0 | 42 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 75 | 79 | 87 | 90 | 75 | 70 | 68 | USA | 56 | 4 | 1,000,000$ |
General Manager | Samuel Veillette |
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Priority | Type | Description |
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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 | 7 | 4 | 0 | 4 | -3 | 0 | 0 | 6 | 24 | 7 | 15 | 16.67% | 1 | 19.21 | 2 | 0 | 2 | 17 | 0 | 0 | 0 | 0 | 1 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
2 | Frank Nazar | 0 | C | 7 | 1 | 3 | 4 | 2 | 2 | 0 | 10 | 4 | 3 | 4 | 25.00% | 2 | 7.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.89% | 71 | 0 | 0 | 0 | 0 | 1.43 | 0 | 0 | |
3 | Bo Horvat | 0 | C | 7 | 0 | 3 | 3 | -3 | 2 | 0 | 11 | 21 | 9 | 16 | 0.00% | 4 | 22.68 | 0 | 2 | 2 | 17 | 0 | 0 | 0 | 22 | 0 | 0 | 54.09% | 220 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
4 | Isac Lundestrom | 0 | C/LW | 7 | 2 | 1 | 3 | 2 | 0 | 0 | 6 | 9 | 2 | 5 | 22.22% | 2 | 9.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | |
5 | Cole Sillinger | 0 | C | 7 | 1 | 2 | 3 | 0 | 0 | 0 | 2 | 27 | 6 | 18 | 3.70% | 2 | 18.27 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 11 | 1 | 0 | 53.75% | 160 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
6 | Brandon Montour | 0 | D | 7 | 0 | 2 | 2 | 3 | 10 | 0 | 12 | 1 | 1 | 2 | 0.00% | 5 | 20.42 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
7 | Erik Karlsson | 0 | D | 7 | 0 | 2 | 2 | -2 | 2 | 0 | 13 | 4 | 3 | 3 | 0.00% | 9 | 25.75 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
8 | Jordan Eberle | 0 | RW | 7 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 12 | 4 | 13 | 0.00% | 1 | 16.61 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
9 | Marcus Foligno | 18 | LW/RW | 7 | 2 | 0 | 2 | 0 | 8 | 0 | 22 | 15 | 7 | 14 | 13.33% | 4 | 18.42 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 12 | 1 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
10 | 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 | |
11 | Tyson Foerster | 0 | C/RW | 7 | 2 | 0 | 2 | 1 | 0 | 0 | 14 | 9 | 2 | 10 | 22.22% | 3 | 10.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
12 | Kirill Marchenko | 0 | LW/RW | 7 | 0 | 2 | 2 | -3 | 0 | 0 | 6 | 20 | 9 | 16 | 0.00% | 3 | 22.74 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 23 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
13 | Will Smith | 0 | C | 7 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 7 | 5 | 7 | 0.00% | 1 | 10.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.28% | 72 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
14 | Rasmus Sandin | 78 | D | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 12 | 8 | 0 | 3 | 0.00% | 5 | 14.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
15 | Marcus Pettersson | 0 | D | 7 | 0 | 1 | 1 | 3 | 2 | 0 | 7 | 8 | 5 | 4 | 0.00% | 6 | 20.32 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
16 | Roman Josi | 0 | D | 7 | 0 | 1 | 1 | -2 | 8 | 0 | 14 | 10 | 2 | 6 | 0.00% | 15 | 25.16 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
17 | Nicholas Robertson | 0 | LW | 7 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 8 | 2 | 9 | 0.00% | 0 | 10.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
18 | Jonatan Berggren | 0 | LW/RW | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 8 | 1 | 3 | 0.00% | 0 | 12.70 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
19 | 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 | |
20 | Jamie Drysdale | 0 | D | 4 | 0 | 0 | 0 | -1 | 4 | 0 | 1 | 1 | 0 | 0 | 0.00% | 4 | 13.45 | 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 | 131 | 13 | 26 | 39 | -1 | 46 | 0 | 149 | 199 | 68 | 151 | 6.53% | 69 | 16.28 | 2 | 5 | 7 | 170 | 0 | 0 | 0 | 153 | 3 | 2 | 49.32% | 588 | 0 | 0 | 0 | 0 | 0.37 | 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 | 5 | 3 | 2 | 0 | 0.941 | 1.80 | 300 | 0 | 1 | 9 | 153 | 0 | 0 | 0 | 0.000 | 0 | 5 | 2 | 2 | 0 | 0 | |
2 | Kevin Lankinen | 2 | 0 | 2 | 0 | 0.862 | 4.03 | 119 | 0 | 0 | 8 | 58 | 0 | 0 | 0 | 0.000 | 0 | 2 | 5 | 0 | 0 | 0 | |
Team Total or Average | 7 | 3 | 4 | 0 | 0.919 | 2.43 | 419 | 0 | 1 | 17 | 211 | 0 | 0 | 0 | 0.000 | 0 | 7 | 7 | 2 | 0 | 0 |
Projected Total Cap Hit | 95,055,741$ |
Projected Cap Space | 444,259$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 7,834,893$ |
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 | ||||||
Erik Karlsson ![]() | D | 35 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 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$ | ||||||
Jamie Drysdale ![]() | D | 23 | 3,500,000$ | 3,500,000$ | RFA | ||||||
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 |
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1 | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 26 | 17 | 20 | 7 | 13 | 6 | 0.0% | 3.3% | 87.5% | 90.8 | Unlucky | |
2 | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 47 | 32 | 46 | 14 | 26 | 13 | 62.5% | 8.3% | 87.7% | 96.1 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 31 | 10 | 9 | 12 | 0 | 27 | 8 | 6 | 21 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 21 | 14 | 26 | 6 | 12 | 6 | 50.0% | 9.7% | 85.2% | 94.9 | FUN | |
4 | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 22 | 14 | 24 | 8 | 12 | 6 | 100.0% | 7.1% | 100.0% | 107.1 | DULL | |
5 | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 17 | 11 | 29 | 8 | 13 | 5 | 100.0% | 10.0% | 98.0% | 108.0 | LUCKY | |
6 | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 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 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 99 | 69 | 89 | 28 | 51 | 26 | 38.5% | 5.4% | 88.9% | 94.2 | Unlucky | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 6 | 0.429 | 13 | 25 | 38 | 0 | 1 | 6 | 4 | 3 | 0 | 191 | 65 | 57 | 69 | 0 | 211 | 69 | 46 | 146 | 19 | 2 | 10.53% | 22 | 6 | 72.73% | 0 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 160 | 110 | 170 | 51 | 89 | 44 | 50.0% | 6.8% | 91.9% | 98.7 | DULL | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 17 | -4 | 6 | 0.429 | 13 | 25 | 38 | 0 | 1 | 6 | 4 | 3 | 0 | 191 | 65 | 57 | 69 | 0 | 211 | 69 | 46 | 146 | 19 | 2 | 10.53% | 22 | 6 | 72.73% | 0 | 118 | 228 | 51.75% | 120 | 247 | 48.58% | 47 | 106 | 44.34% | 160 | 110 | 170 | 51 | 89 | 44 | 50.0% | 6.8% | 91.9% | 98.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 228 |
Neutral Zone Start | 106 |
Defensive Zone Start | 247 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 285 |
Faceoffs Lost | 296 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 17.4 | 20.31 |
3rd Period | 27.3 | 30.68 |
Overtime | 27.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.9 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 1.9 | 2.83 |
Even Strenght Goal | 11 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 2 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 19 |
---|---|
PP Goal | 2 |
PK Attempt | 22 |
PK Goal Against | 6 |
Home | |
---|---|
Shots For | 27.3 |
Shots Against | 30.1 |
Goals For | 1.9 |
Goals Against | 2.4 |
Hits | 20.9 |
Shots Blocked | 9.9 |
Pim | 6.6 |
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 | 17500 | 14942 | 5884 | 11147 | 2706 |
Attendance PCT | 97.22% | 99.61% | 98.07% | 92.89% | 90.20% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 17393 - 96.63% | 1,591,345$ | 4,774,036$ | 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 |
---|---|---|---|
7,918,230$ | 495,573$ | 7,834,893$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,471,123$ | 176 | 500,781$ | 88,137,456$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
90,846,244$ | 95,150,000$ | 69,774,342$ | 39,399,221$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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2026 | ||||||||
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2028 | ||||||||
2029 | ||||||||
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Priority | Type | Description |
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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 | |||
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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