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Colorado Avalanche 31-22-4, 66pts · 5th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 77 | C/LW/RW | 100.00 | 74 | 37 | 71 | 80 | 72 | 88 | 90 | 76 | 56 | 71 | 79 | 78 | 76 | 75 | 74 | 35 | 75 | 0 | 30 | 2,700,000$/1yrs | |||
![]() | 28 | C/LW/RW | 97.50 | 66 | 34 | 89 | 79 | 70 | 92 | 90 | 82 | 88 | 81 | 78 | 74 | 83 | 89 | 80 | 39 | 75 | 0 | 37 | 6,555,000$/1yrs | |||
![]() | 0 | RW | 98.00 | 62 | 37 | 90 | 76 | 70 | 88 | 90 | 74 | 58 | 78 | 71 | 66 | 73 | 87 | 78 | 44 | 75 | 0 | 34 | 4,750,000$/2yrs | |||
![]() | 71 | C | 99.00 | 65 | 41 | 81 | 83 | 77 | 90 | 88 | 80 | 84 | 82 | 83 | 78 | 81 | 75 | 88 | 70 | 75 | 0 | 28 | 8,700,000$/7yrs | |||
![]() | 63 | LW/RW | 98.00 | 64 | 33 | 95 | 85 | 65 | 89 | 90 | 81 | 57 | 83 | 79 | 68 | 84 | 69 | 73 | 47 | 75 | 0 | 26 | 7,875,000$/7yrs | |||
![]() | 63 | LW | 100.00 | 72 | 76 | 71 | 76 | 65 | 91 | 89 | 78 | 58 | 81 | 77 | 72 | 75 | 88 | 96 | 31 | 75 | 0 | 36 | 6,125,000$/1yrs | |||
![]() | 23 | LW/RW | 97.50 | 72 | 37 | 92 | 64 | 72 | 81 | 78 | 62 | 56 | 60 | 63 | 82 | 61 | 74 | 72 | 58 | 75 | 0 | 31 | 3,650,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 63 | 36 | 93 | 71 | 68 | 84 | 89 | 66 | 70 | 69 | 63 | 67 | 71 | 62 | 68 | 83 | 75 | 0 | 22 | 1,200,000$/2yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 72 | 36 | 91 | 70 | 79 | 81 | 86 | 69 | 57 | 68 | 67 | 70 | 66 | 72 | 71 | 48 | 75 | 0 | 29 | 2,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 35 | 94 | 71 | 77 | 81 | 86 | 68 | 62 | 65 | 70 | 63 | 67 | 71 | 72 | 53 | 75 | 0 | 28 | 2,600,000$/3yrs | |||
![]() | 0 | C | 100.00 | 74 | 40 | 82 | 64 | 81 | 79 | 80 | 62 | 66 | 67 | 61 | 63 | 64 | 70 | 71 | 47 | 75 | 0 | 30 | 775,000$/1yrs | |||
![]() | 0 | D | 97.50 | 69 | 37 | 86 | 67 | 87 | 92 | 88 | 65 | 30 | 73 | 64 | 91 | 53 | 71 | 73 | 40 | 75 | 0 | 29 | 5,875,000$/1yrs | |||
![]() | 0 | D | 99.25 | 67 | 36 | 85 | 69 | 66 | 88 | 86 | 66 | 30 | 74 | 58 | 64 | 52 | 73 | 71 | 53 | 75 | 0 | 31 | 2,750,000$/1yrs | |||
![]() | 49 | D | 98.25 | 70 | 33 | 94 | 74 | 64 | 91 | 85 | 70 | 30 | 78 | 62 | 81 | 54 | 69 | 67 | 69 | 75 | 0 | 26 | 5,000,000$/3yrs | |||
![]() | 55 | D | 100.00 | 71 | 38 | 72 | 73 | 89 | 93 | 83 | 71 | 30 | 77 | 72 | 84 | 58 | 75 | 70 | 76 | 75 | 0 | 29 | 7,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 39 | 73 | 67 | 70 | 87 | 85 | 62 | 30 | 66 | 55 | 58 | 50 | 71 | 72 | 45 | 75 | 0 | 30 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 84 | 40 | 76 | 62 | 82 | 81 | 76 | 61 | 30 | 66 | 60 | 67 | 52 | 71 | 72 | 60 | 75 | 0 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 98.25 | 70 | 36 | 78 | 76 | 81 | 93 | 84 | 75 | 30 | 79 | 74 | 64 | 62 | 69 | 72 | 80 | 75 | 0 | 26 | 4,600,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 79 | 77 | 70 | 68 | 66 | 76 | 89 | 63 | 58 | 55 | 61 | 62 | 66 | 71 | 72 | 35 | 75 | 0 | 30 | 2,000,000$/2yrs | |||
TEAM AVERAGE | 98.89 | 71 | 41 | 83 | 72 | 74 | 87 | 86 | 70 | 52 | 72 | 68 | 71 | 66 | 74 | 74 | 53 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 89 | 80 | 75 | 81 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 74 | 86 | 50 | 75 | 0 | 32 | 1,500,000$/2yrs |
![]() | 74 | 96.00 | 96 | 95 | 90 | 68 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 76 | 83 | 56 | 75 | 0 | 29 | 5,250,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 77 | 82 | 78 | 87 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 64 | 71 | 63 | 75 | 0 | 24 | 812,500$/2yrs |
TEAM AVERAGE | 98.67 | 87 | 86 | 81 | 79 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 71 | 80 | 56 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Travis Green | 84 | 80 | 89 | 85 | 80 | 74 | 69 | CAN | 53 | 4 | 1,500,000$ |
General Manager | Simon Desmarais |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dylan Larkin | 71 | C | 56 | 31 | 36 | 67 | 8 | 16 | 0 | 70 | 232 | 86 | 157 | 13.36% | 21 | 21.09 | 8 | 10 | 18 | 198 | 0 | 1 | 1 | 142 | 4 | 3 | 53.88% | 1390 | 0 | 0 | 1 | 0 | 1.13 | 0 | 3 | ||
2 | Claude Giroux | 28 | C/LW/RW | 57 | 26 | 36 | 62 | 21 | 12 | 0 | 37 | 210 | 65 | 161 | 12.38% | 9 | 19.82 | 6 | 4 | 10 | 192 | 0 | 0 | 0 | 89 | 3 | 1 | 54.71% | 1612 | 0 | 0 | 0 | 1 | 1.10 | 2 | 3 | ||
3 | Jesper Bratt | 63 | LW/RW | 57 | 24 | 28 | 52 | 9 | 4 | 0 | 28 | 234 | 73 | 172 | 10.26% | 12 | 19.94 | 8 | 8 | 16 | 204 | 1 | 0 | 1 | 78 | 6 | 1 | 33.17% | 199 | 0 | 0 | 0 | 1 | 0.91 | 0 | 2 | ||
4 | Vladislav Gavrikov | 0 | D | 57 | 11 | 38 | 49 | 19 | 34 | 0 | 53 | 68 | 34 | 65 | 16.18% | 103 | 23.07 | 1 | 8 | 9 | 94 | 1 | 1 | 2 | 165 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
5 | Brad Marchand | 63 | LW | 57 | 18 | 25 | 43 | 16 | 48 | 0 | 140 | 152 | 56 | 136 | 11.84% | 12 | 19.03 | 2 | 7 | 9 | 152 | 0 | 0 | 0 | 89 | 2 | 2 | 41.77% | 79 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | ||
6 | Samuel Girard | 49 | D | 57 | 4 | 35 | 39 | 20 | 30 | 0 | 48 | 96 | 26 | 68 | 4.17% | 92 | 20.85 | 1 | 7 | 8 | 180 | 0 | 0 | 0 | 139 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
7 | Jordan Eberle | 0 | RW | 57 | 12 | 26 | 38 | 17 | 12 | 0 | 19 | 130 | 29 | 84 | 9.23% | 4 | 17.63 | 3 | 5 | 8 | 186 | 0 | 0 | 0 | 0 | 3 | 2 | 40.26% | 77 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
8 | Jakob Chychrun | 0 | D | 57 | 9 | 29 | 38 | 8 | 46 | 0 | 77 | 77 | 25 | 54 | 11.69% | 52 | 22.19 | 5 | 12 | 17 | 202 | 0 | 0 | 0 | 151 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
9 | Aaron Ekblad | 55 | D | 57 | 9 | 28 | 37 | 0 | 64 | 0 | 102 | 112 | 40 | 66 | 8.04% | 86 | 22.86 | 4 | 4 | 8 | 155 | 0 | 0 | 0 | 116 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
10 | Frank Vatrano | 77 | C/LW/RW | 57 | 15 | 19 | 34 | 8 | 18 | 0 | 125 | 166 | 43 | 113 | 9.04% | 6 | 15.24 | 2 | 7 | 9 | 143 | 1 | 0 | 1 | 51 | 0 | 0 | 40.57% | 106 | 0 | 0 | 1 | 0 | 0.78 | 0 | 1 | ||
11 | Danton Heinen | 0 | C/LW/RW | 57 | 14 | 16 | 30 | 1 | 16 | 0 | 91 | 131 | 36 | 79 | 10.69% | 14 | 14.32 | 1 | 1 | 2 | 52 | 0 | 1 | 1 | 25 | 4 | 1 | 44.44% | 63 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
12 | Michael Amadio | 0 | C | 57 | 10 | 12 | 22 | -2 | 12 | 0 | 42 | 81 | 23 | 63 | 12.35% | 6 | 13.09 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 44.51% | 883 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
13 | Lukas Reichel | 0 | LW | 57 | 11 | 10 | 21 | -2 | 12 | 0 | 24 | 80 | 21 | 61 | 13.75% | 7 | 13.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 2 | 46.05% | 76 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
14 | Matt Grzelcyk | 0 | D | 57 | 4 | 14 | 18 | 3 | 18 | 0 | 29 | 34 | 9 | 18 | 11.76% | 46 | 16.76 | 1 | 2 | 3 | 152 | 0 | 1 | 1 | 43 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
15 | Brock McGinn | 23 | LW/RW | 57 | 3 | 14 | 17 | 4 | 6 | 0 | 35 | 71 | 15 | 41 | 4.23% | 7 | 11.85 | 2 | 4 | 6 | 46 | 1 | 0 | 1 | 149 | 2 | 0 | 36.65% | 412 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
16 | Robert Hagg | 0 | D | 57 | 1 | 7 | 8 | 2 | 66 | 0 | 122 | 13 | 5 | 8 | 7.69% | 52 | 14.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
17 | Dominic Toninato | 0 | C | 57 | 2 | 2 | 4 | -2 | 6 | 0 | 9 | 19 | 5 | 19 | 10.53% | 0 | 4.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.42% | 349 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
18 | Ryan Lomberg | 0 | LW | 44 | 2 | 1 | 3 | -2 | 14 | 0 | 33 | 16 | 4 | 10 | 12.50% | 2 | 5.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 63.16% | 19 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
19 | Connor Carrick | 0 | D | 14 | 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 | 1026 | 206 | 376 | 582 | 128 | 434 | 0 | 1084 | 1922 | 595 | 1375 | 10.72% | 531 | 16.36 | 45 | 79 | 124 | 1965 | 4 | 4 | 8 | 1327 | 30 | 12 | 49.10% | 5265 | 0 | 0 | 2 | 2 | 0.69 | 2 | 10 |
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 | Juuse Saros | Avalanche | 49 | 25 | 19 | 3 | 0.898 | 3.20 | 2792 | 6 | 0 | 149 | 1460 | 0 | 1 | 1 | 0.727 | 11 | 48 | 8 | 2 | 1 | 1 |
2 | Scott Wedgewood | Avalanche | 14 | 6 | 3 | 1 | 0.915 | 2.61 | 644 | 0 | 0 | 28 | 331 | 0 | 0 | 0 | 0.000 | 0 | 9 | 48 | 1 | 0 | 2 |
Team Total or Average | 63 | 31 | 22 | 4 | 0.901 | 3.09 | 3436 | 6 | 0 | 177 | 1791 | 0 | 1 | 1 | 0.727 | 11 | 57 | 56 | 3 | 1 | 3 |
Projected Total Cap Hit | 86,150,172$ |
Projected Cap Space | 1,849,828$ |
Retains And Buyout Cap Hit | 2,902,500$ |
Salary Cap To Date | 53,670,063$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ekblad | D | 29 | 7,500,000$ | 7,500,000$ | RFA | ||||||
Brad Marchand ![]() | LW | 36 | 6,125,000$ | 6,125,000$ | UFA | ||||||
Brock McGinn | LW/RW | 31 | 3,650,000$ | 3,650,000$ | |||||||
Claude Giroux | C/LW/RW/G | 37 | 6,555,000$ | 6,555,000$ | UFA | ||||||
Connor Carrick ![]() | D | 30 | 775,000$ | 775,000$ | |||||||
Danton Heinen | C/LW/RW | 29 | 2,250,000$ | 2,250,000$ | 2,250,000$ | ||||||
Dominic Toninato ![]() | C | 30 | 775,000$ | 775,000$ | |||||||
Dylan Larkin ![]() | C/G | 28 | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | UFA |
Frank Vatrano | C/LW/RW/G | 30 | 2,700,000$ | 2,700,000$ | |||||||
Jakob Chychrun | D | 26 | 4,600,000$ | 4,600,000$ | RFA | ||||||
Jesper Bratt ![]() | LW/RW | 26 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | |
Jordan Eberle | RW/G | 34 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Juuse Saros | RW/G | 29 | 5,250,000$ | 5,250,000$ | 5,250,000$ | RFA | |||||
Lukas Reichel | LW | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Matt Grzelcyk | D | 31 | 2,750,000$ | 2,750,000$ | |||||||
Michael Amadio | C | 28 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | |||||
Nico Daws ![]() | C/LW/RW/G | 24 | 812,500$ | 812,500$ | 812,500$ | UFA | |||||
Robert Hagg | D | 29 | 775,000$ | 775,000$ | |||||||
Ryan Lomberg | LW | 30 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Samuel Girard | D | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | RFA | ||||
Scott Wedgewood | C/LW/G | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Vladislav Gavrikov ![]() | D/G | 29 | 5,875,000$ | 5,875,000$ | 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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 80 | 21 | 29 | 30 | 0 | 77 | 28 | 18 | 30 | 12 | 2 | 16.67% | 6 | 4 | 33.33% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 46 | 31 | 46 | 15 | 27 | 13 | 40.0% | 7.5% | 87.0% | 94.5 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 55 | 22 | 15 | 18 | 0 | 61 | 24 | 14 | 39 | 14 | 2 | 14.29% | 5 | 0 | 100.00% | 1 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 46 | 31 | 47 | 16 | 26 | 13 | 37.5% | 9.1% | 91.8% | 100.9 | LUCKY | |
3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 5 | 2 | 3 | 0 | 67 | 22 | 20 | 25 | 0 | 46 | 14 | 16 | 62 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 49 | 34 | 44 | 13 | 25 | 12 | 80.0% | 14.9% | 95.7% | 110.6 | LUCKY | |
4 | 3 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 16 | 26 | 0 | 0 | 4 | 3 | 2 | 1 | 96 | 25 | 42 | 28 | 3 | 103 | 28 | 22 | 56 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 67 | 46 | 79 | 22 | 39 | 19 | 60.0% | 10.4% | 92.2% | 102.6 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 43 | 10 | 20 | 13 | 0 | 38 | 13 | 8 | 21 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 24 | 17 | 22 | 7 | 12 | 6 | 44.4% | 9.3% | 84.2% | 93.5 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 0 | 1 | 2 | 0 | 34 | 8 | 11 | 15 | 0 | 33 | 14 | 6 | 20 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 21 | 14 | 24 | 8 | 13 | 6 | 33.3% | 8.8% | 84.8% | 93.7 | Unlucky | |
7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 3 | 1 | 4 | 0 | 57 | 19 | 20 | 18 | 0 | 67 | 11 | 26 | 38 | 6 | 1 | 16.67% | 12 | 2 | 83.33% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 45 | 30 | 48 | 15 | 26 | 12 | 77.8% | 14.0% | 94.0% | 108.1 | LUCKY | |
8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 51 | 15 | 21 | 15 | 0 | 65 | 23 | 28 | 35 | 9 | 1 | 11.11% | 13 | 5 | 61.54% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 40 | 24 | 52 | 16 | 27 | 13 | 33.3% | 5.9% | 86.2% | 92.0 | Unlucky | |
9 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 9 | 8 | 8 | 1.000 | 17 | 30 | 47 | 0 | 0 | 6 | 3 | 8 | 0 | 146 | 49 | 41 | 56 | 0 | 133 | 35 | 20 | 75 | 18 | 4 | 22.22% | 9 | 1 | 88.89% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 93 | 63 | 93 | 30 | 53 | 25 | 61.9% | 11.6% | 93.2% | 104.9 | LUCKY | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 1 | 3 | 0 | 75 | 20 | 23 | 32 | 0 | 56 | 12 | 8 | 40 | 15 | 4 | 26.67% | 4 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 50 | 34 | 42 | 14 | 26 | 13 | 45.5% | 12.0% | 89.3% | 101.3 | FUN | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 4 | 5 | 2 | 0 | 77 | 23 | 27 | 27 | 0 | 81 | 22 | 18 | 46 | 7 | 3 | 42.86% | 7 | 1 | 85.71% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 50 | 35 | 44 | 15 | 25 | 13 | 61.5% | 14.3% | 92.6% | 106.9 | LUCKY | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 31 | 11 | 12 | 8 | 0 | 26 | 6 | 8 | 17 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 22 | 14 | 25 | 7 | 12 | 6 | 37.5% | 9.7% | 80.8% | 90.4 | FUN | |
13 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 39 | 12 | 13 | 8 | 11 | 27 | 8 | 4 | 19 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 27 | 19 | 22 | 8 | 14 | 7 | 20.0% | 7.7% | 85.2% | 92.9 | Unlucky | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 3 | 0 | 2 | 0 | 57 | 19 | 24 | 14 | 0 | 53 | 23 | 12 | 51 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 46 | 33 | 49 | 14 | 23 | 11 | 36.4% | 8.8% | 84.9% | 93.7 | Unlucky | |
15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 2 | 5 | 3 | 1 | 65 | 21 | 19 | 24 | 1 | 67 | 15 | 14 | 29 | 10 | 3 | 30.00% | 7 | 2 | 71.43% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 46 | 31 | 49 | 16 | 24 | 11 | 66.7% | 16.9% | 91.0% | 108.0 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 41 | 15 | 12 | 14 | 0 | 27 | 11 | 10 | 11 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 1 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 24 | 17 | 23 | 6 | 12 | 6 | 50.0% | 2.4% | 92.6% | 95.0 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 41 | 16 | 13 | 12 | 0 | 26 | 10 | 6 | 12 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 25 | 18 | 22 | 6 | 12 | 6 | 62.5% | 12.2% | 88.5% | 100.7 | FUN | |
18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 5 | 5 | 2 | 0 | 102 | 35 | 29 | 38 | 0 | 79 | 18 | 26 | 56 | 11 | 5 | 45.45% | 11 | 2 | 81.82% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 76 | 53 | 66 | 21 | 37 | 18 | 53.8% | 11.8% | 89.9% | 101.6 | FUN | |
19 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 16 | 25 | 0 | 0 | 5 | 4 | 0 | 1 | 63 | 24 | 25 | 14 | 3 | 72 | 19 | 16 | 36 | 4 | 1 | 25.00% | 7 | 4 | 42.86% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 44 | 30 | 53 | 15 | 26 | 13 | 61.5% | 14.3% | 87.5% | 101.8 | FUN | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 12 | 8 | 6 | 0 | 31 | 12 | 10 | 21 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 23 | 15 | 23 | 7 | 12 | 6 | 33.3% | 3.8% | 90.3% | 94.2 | Unlucky | |
21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 1 | 3 | 5 | 0 | 70 | 26 | 22 | 22 | 0 | 59 | 20 | 14 | 39 | 14 | 3 | 21.43% | 6 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 50 | 34 | 44 | 15 | 25 | 13 | 46.2% | 12.9% | 88.1% | 101.0 | FUN | |
22 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 0.333 | 11 | 22 | 33 | 0 | 0 | 7 | 2 | 1 | 1 | 110 | 38 | 38 | 33 | 1 | 104 | 28 | 26 | 51 | 9 | 1 | 11.11% | 12 | 6 | 50.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 75 | 53 | 65 | 21 | 39 | 19 | 58.8% | 10.0% | 87.5% | 97.5 | FUN | |
23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 2 | 0 | 0 | 0 | 37 | 10 | 15 | 12 | 0 | 24 | 5 | 2 | 22 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 27 | 19 | 19 | 7 | 13 | 7 | 16.7% | 5.4% | 79.2% | 84.6 | Unlucky | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 1 | 3 | 2 | 0 | 62 | 17 | 29 | 16 | 0 | 75 | 24 | 18 | 48 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 48 | 32 | 46 | 13 | 24 | 12 | 71.4% | 9.7% | 96.0% | 105.7 | LUCKY | |
25 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 3 | 1 | 3 | 1 | 76 | 24 | 22 | 24 | 6 | 51 | 19 | 12 | 28 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 49 | 34 | 47 | 15 | 27 | 14 | 70.0% | 10.5% | 90.2% | 100.7 | FUN | |
26 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 2 | 0 | 37 | 9 | 14 | 14 | 0 | 27 | 3 | 4 | 21 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 23 | 16 | 23 | 7 | 12 | 6 | 60.0% | 10.8% | 92.6% | 103.4 | LUCKY | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 3 | 2 | 0 | 0 | 65 | 30 | 21 | 14 | 0 | 56 | 14 | 24 | 24 | 11 | 2 | 18.18% | 10 | 2 | 80.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 49 | 35 | 46 | 14 | 24 | 12 | 37.5% | 7.7% | 87.5% | 95.2 | Unlucky | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 62 | 24 | 23 | 15 | 0 | 63 | 18 | 18 | 32 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 44 | 28 | 51 | 17 | 24 | 12 | 57.1% | 6.5% | 93.7% | 100.1 | DULL | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 3 | 0.750 | 10 | 20 | 30 | 0 | 0 | 5 | 1 | 4 | 0 | 56 | 23 | 15 | 18 | 0 | 69 | 28 | 12 | 41 | 7 | 2 | 28.57% | 6 | 3 | 50.00% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 44 | 29 | 51 | 14 | 24 | 12 | 61.5% | 17.9% | 88.4% | 106.3 | FUN | |
30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 3 | 3 | 6 | 0 | 101 | 34 | 29 | 38 | 0 | 96 | 26 | 20 | 64 | 9 | 0 | 0.00% | 10 | 1 | 90.00% | 1 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 70 | 49 | 71 | 21 | 37 | 18 | 63.2% | 11.9% | 91.7% | 103.5 | LUCKY | |
_Vs Division | 17 | 9 | 5 | 0 | 1 | 1 | 1 | 0 | 61 | 52 | 9 | 23 | 0.676 | 61 | 113 | 174 | 1 | 0 | 26 | 13 | 20 | 2 | 580 | 176 | 208 | 194 | 4 | 557 | 164 | 112 | 341 | 71 | 13 | 18.31% | 54 | 12 | 77.78% | 0 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 404 | 278 | 402 | 125 | 219 | 109 | 54.5% | 10.5% | 90.7% | 101.2 | FUN | |
_Vs Conference | 33 | 16 | 13 | 0 | 1 | 2 | 1 | 0 | 111 | 101 | 10 | 38 | 0.576 | 111 | 201 | 312 | 1 | 0 | 47 | 28 | 34 | 2 | 1079 | 355 | 364 | 358 | 4 | 1043 | 318 | 248 | 636 | 135 | 23 | 17.04% | 117 | 25 | 78.63% | 4 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 774 | 528 | 790 | 247 | 421 | 209 | 53.7% | 10.3% | 90.3% | 100.6 | FUN | |
_Since Last GM Reset | 57 | 27 | 22 | 0 | 3 | 2 | 1 | 2 | 207 | 180 | 27 | 66 | 0.579 | 207 | 376 | 583 | 1 | 0 | 82 | 57 | 64 | 5 | 1922 | 634 | 652 | 621 | 25 | 1792 | 531 | 440 | 1084 | 238 | 45 | 18.91% | 199 | 44 | 77.89% | 4 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 1360 | 932 | 1349 | 429 | 732 | 366 | 54.4% | 10.8% | 90.0% | 100.7 | FUN | |
Total | 57 | 27 | 22 | 0 | 3 | 2 | 1 | 2 | 207 | 180 | 27 | 66 | 0.579 | 207 | 376 | 583 | 1 | 0 | 82 | 57 | 64 | 5 | 1922 | 634 | 652 | 621 | 25 | 1792 | 531 | 440 | 1084 | 238 | 45 | 18.91% | 199 | 44 | 77.89% | 4 | 1077 | 2178 | 49.45% | 1031 | 2090 | 49.33% | 477 | 966 | 49.38% | 1360 | 932 | 1349 | 429 | 732 | 366 | 54.4% | 10.8% | 90.0% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2178 |
Neutral Zone Start | 966 |
Defensive Zone Start | 2090 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2585 |
Faceoffs Lost | 2649 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 22.6 | 20.31 |
3rd Period | 33.5 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 157 |
---|---|
PP Goal | 45 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 16 | 15 |
Lost | 10 | 12 |
Overtime Lost | 2 | 2 |
PP Attempt | 238 |
---|---|
PP Goal | 45 |
PK Attempt | 199 |
PK Goal Against | 44 |
Home | |
---|---|
Shots For | 33.7 |
Shots Against | 31.4 |
Goals For | 3.6 |
Goals Against | 3.2 |
Hits | 19.0 |
Shots Blocked | 9.3 |
Pim | 7.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Avalanche6,Golden Knights3 | RECAP | |||||||||||
2024-10-12 | @ | Blue Jackets3,Avalanche1 | RECAP | |||||||||||
2024-10-14 | @ | Islanders5,Avalanche4 (SO) | RECAP | |||||||||||
2024-10-16 | @ | Bruins5,Avalanche3 | RECAP | |||||||||||
2024-10-18 | @ | Ducks5,Avalanche1 | RECAP | |||||||||||
2024-10-20 | @ | Avalanche1,Sharks2 | RECAP | |||||||||||
2024-10-22 | @ | Avalanche2,Kraken4 | RECAP | |||||||||||
2024-10-24 | @ | Avalanche4,Hockey Club6 | RECAP | |||||||||||
2024-10-27 | @ | Senators5,Avalanche2 | RECAP | |||||||||||
2024-10-28 | @ | Blackhawks4,Avalanche3 | RECAP | |||||||||||
2024-10-30 | @ | Lightning3,Avalanche2 | RECAP | |||||||||||
2024-11-02 | @ | Avalanche2,Predators3 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Kraken3,Avalanche5 | RECAP | |||||||||||
2024-11-07 | @ | Avalanche4,Jets3 | RECAP | |||||||||||
2024-11-09 | @ | Hurricanes3,Avalanche7 | RECAP | |||||||||||
2024-11-11 | @ | Predators4,Avalanche5 (SO) | RECAP | |||||||||||
2024-11-13 | @ | Kings2,Avalanche1 | RECAP | |||||||||||
2024-11-15 | @ | Capitals1,Avalanche6 | RECAP | |||||||||||
2024-11-18 | @ | Avalanche3,Flyers1 | RECAP | |||||||||||
2024-11-21 | @ | Avalanche2,Capitals3 | RECAP | |||||||||||
2024-11-23 | @ | Avalanche3,Panthers4 | RECAP | |||||||||||
2024-11-25 | @ | Avalanche3,Lightning4 | RECAP | |||||||||||
2024-11-27 | @ | Golden Knights5,Avalanche4 (OT) | RECAP | |||||||||||
2024-11-29 | @ | Avalanche4,Stars3 | RECAP | |||||||||||
2024-11-30 | @ | Oilers4,Avalanche2 | RECAP | |||||||||||
2024-12-03 | @ | Avalanche5,Sabres4 | RECAP | |||||||||||
2024-12-05 | @ | Avalanche4,Hurricanes3 (OT) | RECAP | |||||||||||
2024-12-07 | @ | Avalanche4,Red Wings2 | RECAP | |||||||||||
2024-12-08 | @ | Avalanche3,Devils4 (SO) | RECAP | |||||||||||
2024-12-10 | @ | Avalanche4,Penguins6 | RECAP | |||||||||||
2024-12-12 | @ | Hockey Club3,Avalanche2 | RECAP | |||||||||||
2024-12-14 | @ | Predators1,Avalanche3 | RECAP | |||||||||||
2024-12-16 | @ | Avalanche2,Canucks4 | RECAP | |||||||||||
2024-12-19 | @ | Avalanche3,Sharks2 | RECAP | |||||||||||
2024-12-20 | @ | Avalanche2,Ducks4 | RECAP | |||||||||||
2024-12-22 | @ | Kraken1,Avalanche5 | RECAP | |||||||||||
2024-12-27 | @ | Avalanche5,Hockey Club4 (OT) | RECAP | |||||||||||
2024-12-31 | @ | Jets2,Avalanche3 | RECAP | |||||||||||
2025-01-02 | @ | Sabres2,Avalanche6 | RECAP | |||||||||||
2025-01-04 | @ | Canadiens3,Avalanche5 | RECAP | |||||||||||
2025-01-06 | @ | Panthers3,Avalanche6 | RECAP | |||||||||||
2025-01-08 | @ | Avalanche2,Blackhawks4 | RECAP | |||||||||||
2025-01-09 | @ | Avalanche3,Wild1 | RECAP | |||||||||||
2025-01-11 | @ | Avalanche6,Jets3 | RECAP | |||||||||||
2025-01-14 | @ | Rangers3,Avalanche5 | RECAP | |||||||||||
2025-01-16 | @ | Oilers2,Avalanche6 | RECAP | |||||||||||
2025-01-18 | @ | Stars3,Avalanche5 | RECAP | |||||||||||
2025-01-20 | @ | Wild2,Avalanche3 | RECAP | |||||||||||
2025-01-22 | @ | Jets1,Avalanche4 | RECAP | |||||||||||
2025-01-25 | @ | Avalanche3,Bruins5 | RECAP | |||||||||||
2025-01-26 | @ | Avalanche3,Rangers2 (OT) | RECAP | |||||||||||
2025-01-28 | @ | Avalanche5,Islanders4 | RECAP | |||||||||||
2025-01-31 | @ | Blues5,Avalanche3 | RECAP | |||||||||||
2025-02-02 | @ | Flyers1,Avalanche7 | RECAP | |||||||||||
2025-02-04 | @ | Avalanche3,Canucks1 | RECAP | |||||||||||
2025-02-06 | @ | Avalanche3,Flames5 | RECAP | |||||||||||
2025-02-07 | @ | Avalanche4,Oilers2 | RECAP | |||||||||||
2025-02-22 | @ | |||||||||||||
2025-02-23 | @ | |||||||||||||
2025-02-26 | @ | |||||||||||||
2025-02-28 | @ | |||||||||||||
2025-03-04 | @ | |||||||||||||
2025-03-06 | @ | |||||||||||||
2025-03-08 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | |||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-14 | @ | |||||||||||||
2025-03-16 | @ | |||||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-27 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-03-31 | @ | |||||||||||||
2025-04-02 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-08 | @ | |||||||||||||
2025-04-10 | @ | |||||||||||||
2025-04-12 | @ | |||||||||||||
2025-04-13 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,792,500$ | 2,902,500$ | 86,150,172$ | 1,849,828$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Ball Arena | |
City | Colorado | ||
Capacity | 18007 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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![]() |
Arena Capacity | 6007 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 135426 | 114666 | 54035 | 87758 | 25167 |
Attendance PCT | 80.52% | 81.90% | 96.49% | 78.36% | 89.88% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
13 | 14895 - 82.72% | 1,869,142$ | 52,335,968$ | 18007 | 85 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,792,500$ | 84,017,500$ | 0$ | 2,902,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
55,132,290$ | 428,661$ | 53,670,063$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,298,842$ | 69 | 440,268$ | 30,378,492$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
31,058,084$ | 86,150,172$ | 145,910,459$ | 140,556,343$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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2025 | |||||||
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2028 | |||||||
2029 |
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 |
---|---|---|---|---|---|
Ayrton Martino | 2021 | 64 | |||
Charlie Stramel | 2023 | 40 | |||
Denver Barkey | 2023 | 83 | ELC 2024-25 | Link | |
Eric Pohlkamp | 2023 | 217 | |||
Jimi Suomi | 2021 | 147 | |||
Mats Lindgren | 2022 | 62 | |||
Nicholas Mouldenhauer | 2022 | 97 | |||
Ondrej Becher | 2024 | 103 | |||
Ondrej Molnar | 2023 | 153 | |||
Ryan Kirwan | 2020 | 213 | |||
Timur Kol | 2024 | 120 | |||
Tyler Duke | 2022 | 162 |
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