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Full Scoreboard »» |
Colorado Avalanche 4-5-2, 10pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jordan Eberle | 0 | RW | 100.00 | 60 | 34 | 88 | 70 | 73 | 84 | 90 | 71 | 60 | 74 | 70 | 60 | 70 | 83 | 96 | 0 | 38 | 81 | 34 | 4,750,000$/2yrs | |||
Rickard Rakell | 0 | C/LW/RW | 100.00 | 75 | 33 | 91 | 67 | 77 | 85 | 89 | 71 | 59 | 71 | 73 | 59 | 72 | 78 | 77 | 0 | 38 | 81 | 31 | 5,350,000$/4yrs | |||
Kirill Marchenko | 0 | LW/RW | 95.00 | 63 | 33 | 92 | 69 | 80 | 83 | 86 | 68 | 59 | 62 | 76 | 63 | 72 | 65 | 64 | 0 | 37 | 78 | 24 | 5,000,000$/5yrs | |||
James van Riemsdyk | 0 | LW | 100.00 | 59 | 33 | 87 | 64 | 84 | 79 | 85 | 67 | 60 | 70 | 66 | 55 | 67 | 84 | 83 | 0 | 38 | 77 | 35 | 4,000,000$/2yrs | |||
Marcus Foligno | 18 | LW/RW | 100.00 | 91 | 63 | 56 | 61 | 90 | 80 | 84 | 63 | 60 | 64 | 63 | 78 | 63 | 81 | 85 | 0 | 35 | 77 | 33 | 4,500,000$/4yrs | |||
Tyson Foerster | 0 | C/RW | 100.00 | 70 | 33 | 83 | 70 | 78 | 84 | 78 | 68 | 58 | 63 | 73 | 65 | 70 | 62 | 61 | 0 | 38 | 77 | 22 | 863,333$/1yrs | |||
Lars Eller | 0 | C | 100.00 | 66 | 33 | 83 | 58 | 81 | 81 | 90 | 62 | 84 | 62 | 65 | 76 | 63 | 85 | 83 | 0 | 38 | 76 | 35 | 2,450,000$/1yrs | |||
Nicholas Robertson | 0 | LW | 100.00 | 64 | 32 | 97 | 68 | 68 | 74 | 76 | 65 | 59 | 65 | 70 | 60 | 67 | 63 | 63 | 0 | 41 | 76 | 23 | 1,000,000$/1yrs | |||
Philip Tomasino | 0 | C/LW/RW | 100.00 | 61 | 36 | 89 | 67 | 70 | 78 | 76 | 65 | 59 | 71 | 66 | 56 | 65 | 63 | 62 | 0 | 38 | 76 | 23 | 1,850,000$/2yrs | |||
Vladislav Namestnikov | 0 | C/LW/RW | 100.00 | 71 | 35 | 84 | 59 | 70 | 78 | 89 | 65 | 71 | 67 | 62 | 65 | 64 | 78 | 77 | 0 | 38 | 75 | 31 | 3,750,000$/2yrs | |||
Cole Sillinger | 0 | C | 100.00 | 74 | 36 | 83 | 64 | 79 | 80 | 87 | 61 | 81 | 63 | 62 | 76 | 61 | 60 | 58 | 0 | 38 | 74 | 21 | 2,000,000$/2yrs | |||
Isac Lundestrom | 0 | C/LW | 100.00 | 63 | 33 | 98 | 61 | 75 | 79 | 82 | 59 | 79 | 61 | 59 | 77 | 59 | 66 | 66 | 0 | 38 | 73 | 24 | 1,800,000$/1yrs | |||
Erik Karlsson | 0 | D | 96.00 | 60 | 32 | 83 | 80 | 74 | 97 | 90 | 70 | 30 | 86 | 71 | 62 | 70 | 83 | 99 | 0 | 38 | 89 | 34 | 11,500,000$/3yrs | |||
Marcus Pettersson | 0 | D | 98.00 | 75 | 39 | 77 | 62 | 73 | 92 | 88 | 66 | 30 | 69 | 55 | 77 | 61 | 72 | 70 | 0 | 38 | 79 | 28 | 4,025,175$/1yrs | |||
Rasmus Sandin | 78 | D | 98.00 | 73 | 37 | 84 | 65 | 70 | 89 | 87 | 62 | 30 | 70 | 59 | 63 | 60 | 66 | 64 | 0 | 38 | 77 | 24 | 2,600,000$/1yrs | |||
Jani Hakanpaa | 0 | D | 100.00 | 85 | 41 | 73 | 57 | 93 | 87 | 90 | 66 | 30 | 58 | 55 | 84 | 64 | 79 | 76 | 0 | 38 | 77 | 32 | 2,000,000$/2yrs | |||
Matt Grzelcyk | 0 | D | 100.00 | 64 | 34 | 83 | 58 | 67 | 84 | 86 | 58 | 30 | 65 | 56 | 61 | 57 | 76 | 74 | 0 | 38 | 73 | 30 | 4,250,000$/2yrs | |||
Jamie Drysdale | 0 | D | 100.00 | 64 | 32 | 91 | 58 | 71 | 88 | 72 | 56 | 30 | 62 | 59 | 60 | 58 | 62 | 61 | 0 | 38 | 72 | 22 | 3,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Oliver Wahlstrom | 0 | RW | 100.00 | 70 | 41 | 79 | 63 | 81 | 75 | 75 | 62 | 59 | 63 | 63 | 60 | 63 | 65 | 63 | 0 | 29 | 73 | 24 | 2,300,000$/1yrs | |||
Ryan Lomberg | 94 | C/LW | 100.00 | 79 | 42 | 64 | 56 | 70 | 73 | 89 | 58 | 60 | 56 | 61 | 60 | 60 | 75 | 71 | 0 | 29 | 70 | 29 | 1,600,000$/1yrs | |||
TEAM AVERAGE | 99.35 | 69 | 37 | 83 | 64 | 76 | 83 | 84 | 64 | 54 | 66 | 64 | 66 | 64 | 72 | 73 | 0 | 37 | 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 | 100.00 | 85 | 90 | 79 | 91 | 79 | 74 | 82 | 87 | 81 | 86 | 82 | 72 | 77 | 0 | 39 | 86 | 28 | 1,250,000$/1yrs |
Kevin Lankinen | 0 | 95.00 | 80 | 75 | 72 | 76 | 77 | 72 | 78 | 78 | 78 | 78 | 78 | 74 | 78 | 0 | 29 | 81 | 29 | 3,200,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 97.50 | 83 | 83 | 76 | 84 | 78 | 73 | 80 | 83 | 80 | 82 | 80 | 73 | 78 | 0 | 34 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 75 | 79 | 87 | 90 | 75 | 70 | 68 | USA | 55 | 5 | 1,000,000$ |
General Manager | Samuel Veillette |
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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 |
# | 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 | Rasmus Sandin | Avalanche | 78 | D | 11 | 4 | 8 | 12 | 3 | 4 | 0 | 11 | 17 | 3 | 10 | 23.53% | 15 | 22.42 | 3 | 2 | 5 | 30 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 |
2 | Lars Eller | Avalanche | 0 | C | 11 | 4 | 5 | 9 | 0 | 4 | 0 | 13 | 34 | 13 | 24 | 11.76% | 0 | 18.35 | 1 | 1 | 2 | 33 | 0 | 0 | 0 | 1 | 0 | 0 | 58.00% | 250 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
3 | Tyson Foerster | Avalanche | 0 | C/RW | 11 | 1 | 7 | 8 | 1 | 10 | 0 | 15 | 36 | 14 | 29 | 2.78% | 2 | 17.90 | 0 | 2 | 2 | 31 | 0 | 0 | 0 | 29 | 0 | 0 | 42.31% | 52 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 |
4 | Erik Karlsson | Avalanche | 0 | D | 11 | 2 | 5 | 7 | -9 | 6 | 0 | 10 | 26 | 10 | 16 | 7.69% | 17 | 26.11 | 2 | 1 | 3 | 39 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
5 | Marcus Pettersson | Avalanche | 0 | D | 11 | 2 | 5 | 7 | -9 | 18 | 0 | 26 | 25 | 6 | 16 | 8.00% | 29 | 24.78 | 1 | 2 | 3 | 29 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 |
6 | Jordan Eberle | Avalanche | 0 | RW | 11 | 3 | 3 | 6 | -4 | 4 | 0 | 7 | 28 | 11 | 21 | 10.71% | 3 | 15.35 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 |
7 | Jani Hakanpaa | Avalanche | 0 | D | 11 | 0 | 6 | 6 | 2 | 4 | 0 | 29 | 8 | 5 | 9 | 0.00% | 30 | 17.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
8 | Cole Sillinger | Avalanche | 0 | C | 11 | 1 | 5 | 6 | -4 | 14 | 0 | 21 | 25 | 10 | 23 | 4.00% | 7 | 17.12 | 0 | 3 | 3 | 36 | 0 | 0 | 0 | 0 | 0 | 0 | 48.92% | 278 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 |
9 | Kirill Marchenko | Avalanche | 0 | LW/RW | 11 | 4 | 2 | 6 | -2 | 4 | 0 | 7 | 37 | 9 | 23 | 10.81% | 5 | 22.15 | 1 | 1 | 2 | 36 | 0 | 0 | 0 | 55 | 2 | 0 | 40.77% | 130 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 |
10 | Matt Grzelcyk | Avalanche | 0 | D | 11 | 1 | 4 | 5 | 0 | 8 | 0 | 18 | 7 | 9 | 7 | 14.29% | 9 | 16.84 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 6 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 |
11 | Nicholas Robertson | Avalanche | 0 | LW | 11 | 2 | 3 | 5 | 3 | 0 | 0 | 2 | 23 | 2 | 16 | 8.70% | 0 | 8.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 |
12 | Marcus Foligno | Avalanche | 18 | LW/RW | 11 | 3 | 1 | 4 | 3 | 19 | 5 | 24 | 17 | 5 | 8 | 17.65% | 0 | 9.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.04% | 79 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
13 | Vladislav Namestnikov | Avalanche | 0 | C/LW/RW | 11 | 1 | 3 | 4 | -8 | 2 | 0 | 22 | 12 | 5 | 20 | 8.33% | 3 | 17.46 | 1 | 3 | 4 | 36 | 0 | 0 | 0 | 55 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
14 | Rickard Rakell | Avalanche | 0 | C/LW/RW | 11 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 19 | 5 | 11 | 5.26% | 0 | 10.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 |
15 | Philip Tomasino | Avalanche | 0 | C/LW/RW | 11 | 2 | 0 | 2 | 0 | 0 | 0 | 5 | 14 | 2 | 2 | 14.29% | 0 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.74% | 117 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 |
16 | Isac Lundestrom | Avalanche | 0 | C/LW | 11 | 0 | 1 | 1 | -2 | 4 | 0 | 1 | 11 | 3 | 4 | 0.00% | 3 | 8.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 53.66% | 41 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
17 | James van Riemsdyk | Avalanche | 0 | LW | 11 | 1 | 0 | 1 | -6 | 8 | 0 | 7 | 23 | 6 | 16 | 4.35% | 1 | 18.54 | 0 | 0 | 0 | 33 | 0 | 0 | 0 | 25 | 0 | 0 | 66.67% | 18 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 |
18 | Jamie Drysdale | Avalanche | 0 | D | 11 | 0 | 1 | 1 | 0 | 8 | 0 | 8 | 3 | 0 | 1 | 0.00% | 9 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 |
Team Total or Average | 198 | 32 | 60 | 92 | -32 | 117 | 5 | 232 | 365 | 118 | 256 | 8.77% | 133 | 16.31 | 9 | 16 | 25 | 351 | 0 | 0 | 0 | 363 | 4 | 1 | 49.01% | 1006 | 0 | 0 | 0 | 0 | 0.57 | 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 | Kevin Lankinen | Avalanche | 7 | 3 | 4 | 0 | 0.891 | 3.57 | 370 | 0 | 0 | 22 | 201 | 0 | 0 | 0 | 0.000 | 0 | 7 | 4 | 1 | 1 | 0 |
2 | Karel Vejmelka | Avalanche | 6 | 1 | 1 | 2 | 0.903 | 3.41 | 299 | 0 | 0 | 17 | 176 | 0 | 0 | 0 | 0.000 | 0 | 4 | 7 | 0 | 0 | 0 |
Team Total or Average | 13 | 4 | 5 | 2 | 0.897 | 3.50 | 669 | 0 | 0 | 39 | 377 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 1 | 1 | 0 |
Projected Total Cap Hit | 73,542,116$ |
Projected Cap Space | 14,457,884$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 10,133,992$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Avalanche Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Cole Sillinger | C | 21 | 2,000,000$ | 2,000,000$ | 2,000,000$ | RFA | |||||
Erik Karlsson | D | 34 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | ||||
Isac Lundestrom | C/LW | 24 | 1,800,000$ | 1,800,000$ | RFA | ||||||
James van Riemsdyk | LW | 35 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Jamie Drysdale | D | 22 | 3,500,000$ | 3,500,000$ | 3,500,000$ | RFA | |||||
Jani Hakanpaa | D | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jordan Eberle | RW | 34 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Karel Vejmelka | G | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Kevin Lankinen | G | 29 | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | |||||
Kirill Marchenko | LW/RW | 24 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Lars Eller | C | 35 | 2,450,000$ | 2,450,000$ | UFA | ||||||
Marcus Foligno | LW/RW | 33 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Marcus Pettersson | D | 28 | 4,025,175$ | 4,025,175$ | UFA | ||||||
Matt Grzelcyk | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Nicholas Robertson | LW | 23 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Oliver Wahlstrom | RW | 24 | 2,300,000$ | 2,300,000$ | RFA | ||||||
Philip Tomasino | C/LW/RW | 23 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Rasmus Sandin | D | 24 | 2,600,000$ | 2,600,000$ | RFA | ||||||
Rickard Rakell | C/LW/RW | 31 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | |||
Ryan Lomberg | C/LW | 29 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Tyson Foerster | C/RW | 22 | 863,333$ | 863,333$ | RFA | ||||||
Vladislav Namestnikov | C/LW/RW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Arshdeep Bains | LW | 23 | 816,667$ | 816,667$ | RFA | ||||||
Ben Danford | D | 18 | 964,000$ | 964,000$ | 964,000$ | 964,000$ | RFA | ||||
Braeden Kressler | C | 21 | 800,556$ | 800,556$ | 800,556$ | RFA | |||||
Bryce McConnell-Barker | C | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Cam Squires | RW | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Carson Ceulemans | D | 21 | 925,000$ | 925,000$ | RFA | ||||||
Chaz Lucius | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Dmitri Kuzmin | D | 21 | 795,556$ | 795,556$ | 795,556$ | RFA | |||||
Erik Portillo | G | 24 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Frank Nazar | C | 20 | 775,000$ | 775,000$ | RFA | ||||||
Georgii Merkulov | C/LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Hugo Alnefelt | G | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Hunter Shepard | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jack Matier | D | 21 | 801,667$ | 801,667$ | 801,667$ | RFA | |||||
Jack Rathbone | D | 25 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Jagger Firkus | RW | 20 | 891,667$ | 891,667$ | 891,667$ | 891,667$ | RFA | ||||
Jakub Malek | G | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Jean-Luc Foudy | C | 22 | 847,500$ | 847,500$ | RFA | ||||||
Jiri Kulich | C | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Josh Doan | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Julian Lutz | C/LW/RW | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Kieffer Bellows | LW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Koehn Ziemmer | RW | 19 | 845,833$ | 845,833$ | 845,833$ | 845,833$ | RFA | ||||
Kyle Burroughs | D | 29 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Lukas Cormier | D | 22 | 793,333$ | 793,333$ | RFA | ||||||
Matt Stienburg | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Michael Sgarbossa | C/LW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Nico Myatovic | C/LW | 19 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Nikita Grebyonkin | LW/RW | 21 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Oliver Kapanen | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Olle Lycksell | RW | 25 | 787,000$ | 787,000$ | RFA | ||||||
Rasmus Asplund | C/LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Ryan Johnson | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Sasha Pastujov | LW/RW | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Tristan Broz | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Vincent Iorio | D | 21 | 814,167$ | 814,167$ | 814,167$ | RFA | |||||
Will Smith | C | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Zac Funk | LW/RW | 21 | 905,000$ | 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 | Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 45 | 12 | 14 | 19 | 0 | 36 | 9 | 8 | 23 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 25 | 17 | 22 | 7 | 12 | 5 | 66.7% | 6.7% | 97.2% | 103.9 | DULL |
2 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 6 | 18 | 10 | 0 | 51 | 10 | 10 | 21 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 22 | 15 | 25 | 7 | 12 | 5 | 42.9% | 8.8% | 88.2% | 97.1 | Unlucky |
3 | Lightning | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 33 | 16 | 10 | 7 | 0 | 35 | 8 | 19 | 20 | 4 | 1 | 25.00% | 7 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 23 | 15 | 24 | 8 | 12 | 6 | 33.3% | 9.1% | 88.6% | 97.7 | FUN |
4 | Hockey Club | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 29 | 8 | 11 | 10 | 0 | 39 | 18 | 10 | 18 | 3 | 2 | 66.67% | 5 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 18 | 12 | 29 | 7 | 11 | 5 | 33.3% | 10.3% | 94.9% | 105.2 | LUCKY |
5 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 2 | 0 | 0 | 39 | 10 | 18 | 11 | 0 | 33 | 15 | 18 | 13 | 5 | 1 | 20.00% | 8 | 2 | 75.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 21 | 14 | 27 | 8 | 10 | 5 | 75.0% | 10.3% | 90.9% | 101.2 | FUN |
6 | Blackhawks | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 0 | 1 | 41 | 17 | 11 | 12 | 1 | 17 | 7 | 4 | 21 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 26 | 18 | 23 | 6 | 12 | 6 | 60.0% | 7.3% | 88.2% | 95.6 | Unlucky |
7 | Blue Jackets | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 8 | 16 | 7 | 1 | 43 | 13 | 8 | 15 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 23 | 15 | 23 | 7 | 15 | 8 | 33.3% | 12.5% | 88.4% | 100.9 | FUN |
8 | Ducks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 30 | 8 | 13 | 9 | 0 | 22 | 11 | 0 | 33 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 23 | 15 | 23 | 7 | 13 | 6 | 33.3% | 10.0% | 81.8% | 91.8 | FUN |
9 | Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 27 | 10 | 7 | 10 | 0 | 19 | 7 | 18 | 20 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 23 | 15 | 22 | 7 | 13 | 6 | 33.3% | 7.4% | 78.9% | 86.4 | Unlucky |
10 | Golden Knights | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 34 | 16 | 7 | 9 | 2 | 38 | 19 | 2 | 25 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 22 | 15 | 28 | 8 | 13 | 6 | 40.0% | 5.9% | 92.1% | 98.0 | DULL |
11 | Kraken | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 21 | 9 | 9 | 3 | 0 | 44 | 16 | 20 | 23 | 2 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 19 | 12 | 27 | 7 | 12 | 6 | 40.0% | 9.5% | 88.6% | 98.2 | FUN |
_Vs Division | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 70 | 25 | 22 | 22 | 1 | 56 | 25 | 14 | 39 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 45 | 31 | 53 | 13 | 23 | 11 | 50.0% | 8.6% | 92.9% | 101.4 | DULL | |
_Vs Conference | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 20 | -5 | 5 | 0.417 | 15 | 28 | 43 | 0 | 0 | 4 | 6 | 4 | 1 | 182 | 68 | 58 | 53 | 3 | 179 | 78 | 54 | 140 | 22 | 4 | 18.18% | 27 | 4 | 85.19% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 134 | 91 | 156 | 44 | 76 | 37 | 40.7% | 8.2% | 88.8% | 97.1 | Unlucky | |
_Since Last GM Reset | 11 | 3 | 5 | 0 | 1 | 2 | 0 | 0 | 32 | 39 | -7 | 10 | 0.455 | 32 | 60 | 92 | 0 | 0 | 11 | 13 | 7 | 1 | 365 | 120 | 134 | 107 | 4 | 377 | 133 | 117 | 232 | 41 | 9 | 21.95% | 55 | 9 | 83.64% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 251 | 170 | 278 | 84 | 139 | 69 | 43.4% | 8.8% | 89.7% | 98.4 | Unlucky | |
Total | 11 | 3 | 5 | 0 | 1 | 2 | 0 | 0 | 32 | 39 | -7 | 10 | 0.455 | 32 | 60 | 92 | 0 | 0 | 11 | 13 | 7 | 1 | 365 | 120 | 134 | 107 | 4 | 377 | 133 | 117 | 232 | 41 | 9 | 21.95% | 55 | 9 | 83.64% | 0 | 200 | 383 | 52.22% | 201 | 430 | 46.74% | 92 | 179 | 51.40% | 251 | 170 | 278 | 84 | 139 | 69 | 43.4% | 8.8% | 89.7% | 98.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 383 |
Neutral Zone Start | 179 |
Defensive Zone Start | 430 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 493 |
Faceoffs Lost | 499 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 32.8 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.2 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 23 |
---|---|
PP Goal | 9 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 1 |
Lost | 3 | 2 |
Overtime Lost | 1 | 1 |
PP Attempt | 41 |
---|---|
PP Goal | 9 |
PK Attempt | 55 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 33.2 |
Shots Against | 34.3 |
Goals For | 2.9 |
Goals Against | 3.5 |
Hits | 21.1 |
Shots Blocked | 12.1 |
Pim | 10.6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
73,538,508$ | 0$ | 73,542,116$ | 14,461,492$ |
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 | 39696 | 32716 | 13279 | 26414 | 6620 |
Attendance PCT | 94.51% | 93.47% | 94.85% | 94.34% | 94.57% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 16961 - 94.23% | 1,556,597$ | 10,896,176$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
73,538,508$ | 73,538,508$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
10,271,771$ | 375,196$ | 10,133,992$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
52,924,283$ | 169 | 380,299$ | 64,270,531$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,502,901$ | 73,538,508$ | 88,459,602$ | 73,880,984$ |
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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 |
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Aiden Celebrini | Avalanche | 2023 | 162 | ||
Aleksi Malinen | Avalanche | 2021 | 146 | ||
Andrew Strathmann | Avalanche | 2023 | 104 | ||
Arttu Karki | Avalanche | 2023 | 102 | ||
Colby Ambrosio | Avalanche | 2020 | 112 | ||
Colin Ralph | Avalanche | 2024 | 70 | ||
Daniil Karpovich | Avalanche | 2023 | 164 | ||
Danila Yurov | Avalanche | 2022 | 14 | ||
Devin Kaplan | Avalanche | 2022 | 76 | ||
Evan Gardner | Avalanche | 2024 | 79 | ||
Filip Eriksson | Avalanche | 2023 | 188 | ||
Gavin Mccarthy | Avalanche | 2023 | 100 | ||
Gracyn Sawchyn | Avalanche | 2023 | 33 | ||
Iorenzo Canonica | Avalanche | 2021 | 212 | ||
Jake Martin | Avalanche | 2021 | 176 | ||
Linus Oberg | Avalanche | ||||
Marshall Warren | Avalanche | 2019 | 137 | 6.5 - 3.5 | |
Michael Brandsegg-Nygard | Avalanche | 2024 | 17 | ||
Ondrej Kos | Avalanche | 2024 | 113 | ||
Owen McLaughlin | Avalanche | 2021 | 214 | ||
Patrik Puistola | Avalanche | 2019 | 39 | 7.5 - 7.0 | |
Peter Reynolds | Avalanche | 2021 | 164 | ||
Ryan Conmy | Avalanche | 2023 | 183 | ||
Topi Ronni | Avalanche | 2022 | 71 | ||
Trevor Wong | Avalanche | 2021 | 167 | ||
Victor Stjernborg | Avalanche | 2021 | 99 | ||
Will Skahan | Avalanche | 2024 | 81 | ||
Yevgeni Volokhin | Avalanche | 2023 | 132 |
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