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Full Scoreboard »» |
Colorado Avalanche 8-14-4, 20pts · 15th 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 | C/RW | 100.00 | 68 | 33 | 92 | 82 | 79 | 88 | 90 | 81 | 92 | 82 | 83 | 85 | 82 | 74 | 79 | 0 | 28 | 91 | 29 | 4,850,000$/7yrs | |||
![]() | 0 | LW | 100.00 | 56 | 33 | 92 | 75 | 84 | 79 | 90 | 78 | 59 | 80 | 77 | 57 | 78 | 84 | 83 | 0 | 30 | 85 | 34 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 33 | 92 | 78 | 80 | 82 | 90 | 77 | 58 | 76 | 77 | 69 | 77 | 64 | 63 | 0 | 30 | 84 | 23 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 97.00 | 56 | 33 | 84 | 68 | 81 | 82 | 86 | 68 | 59 | 72 | 66 | 83 | 67 | 81 | 88 | 0 | 30 | 82 | 33 | 5,250,000$/1yrs | |||
![]() | 32 | LW/RW | 100.00 | 63 | 32 | 91 | 68 | 73 | 81 | 89 | 71 | 57 | 76 | 71 | 63 | 71 | 83 | 82 | 0 | 36 | 81 | 34 | 2,700,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 33 | 97 | 69 | 75 | 80 | 87 | 67 | 80 | 68 | 69 | 82 | 68 | 65 | 65 | 0 | 30 | 80 | 24 | 1,800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 99.00 | 69 | 39 | 82 | 66 | 70 | 78 | 89 | 70 | 60 | 70 | 70 | 73 | 70 | 77 | 75 | 0 | 30 | 80 | 31 | 3,750,000$/3yrs | |||
![]() | 47 | C/LW | 100.00 | 70 | 32 | 99 | 64 | 74 | 72 | 88 | 67 | 58 | 70 | 62 | 81 | 65 | 66 | 66 | 0 | 25 | 79 | 24 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 42 | 67 | 71 | 81 | 75 | 82 | 70 | 59 | 69 | 72 | 62 | 71 | 63 | 60 | 0 | 30 | 78 | 23 | 2,300,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 35 | 84 | 69 | 79 | 77 | 86 | 67 | 79 | 68 | 68 | 70 | 67 | 58 | 57 | 0 | 30 | 78 | 20 | 925,000$/1yrs | |||
![]() | 94 | C/LW | 100.00 | 79 | 47 | 56 | 65 | 70 | 74 | 87 | 68 | 60 | 66 | 70 | 68 | 69 | 74 | 69 | 0 | 24 | 77 | 28 | 1,600,000$/2yrs | |||
![]() | 0 | D | 96.10 | 59 | 32 | 87 | 95 | 74 | 97 | 86 | 75 | 30 | 89 | 79 | 75 | 77 | 82 | 98 | 0 | 20 | 95 | 33 | 11,500,000$/4yrs | |||
![]() | 6 | D | 100.00 | 69 | 33 | 94 | 60 | 74 | 87 | 76 | 68 | 30 | 68 | 64 | 85 | 66 | 88 | 87 | 0 | 30 | 83 | 37 | 3,500,000$/1yrs | |||
![]() | 78 | D | 99.00 | 78 | 38 | 87 | 69 | 70 | 86 | 84 | 66 | 30 | 75 | 67 | 67 | 66 | 64 | 63 | 0 | 30 | 81 | 23 | 2,600,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 36 | 76 | 65 | 73 | 85 | 87 | 68 | 30 | 74 | 57 | 74 | 63 | 71 | 68 | 0 | 21 | 81 | 27 | 4,025,175$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 87 | 67 | 67 | 85 | 88 | 65 | 30 | 74 | 62 | 66 | 64 | 75 | 73 | 0 | 29 | 79 | 29 | 4,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 32 | 92 | 73 | 71 | 88 | 79 | 65 | 30 | 75 | 61 | 64 | 63 | 60 | 59 | 0 | 30 | 79 | 21 | 3,500,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 95.00 | 76 | 40 | 63 | 73 | 85 | 80 | 84 | 76 | 59 | 78 | 75 | 64 | 76 | 73 | 69 | 0 | 32 | 83 | 28 | 3,700,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 82 | 37 | 83 | 65 | 77 | 74 | 75 | 65 | 56 | 69 | 67 | 62 | 66 | 67 | 66 | 0 | 20 | 76 | 25 | ||||
![]() | 0 | C | 100.00 | 65 | 35 | 90 | 60 | 74 | 73 | 71 | 62 | 74 | 59 | 65 | 64 | 64 | 66 | 66 | 0 | 20 | 73 | 25 | ||||
![]() | 0 | D | 100.00 | 91 | 63 | 62 | 55 | 75 | 81 | 79 | 63 | 30 | 63 | 59 | 78 | 61 | 72 | 68 | 0 | 22 | 78 | 28 | 1,100,000$/3yrs | |||
TEAM AVERAGE | 99.34 | 69 | 37 | 84 | 69 | 76 | 81 | 84 | 69 | 53 | 72 | 69 | 71 | 69 | 72 | 72 | 0 | 27 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 75 | 75 | 72 | 85 | 80 | 77 | 82 | 87 | 82 | 86 | 82 | 74 | 78 | 0 | 27 | 84 | 29 | 3,500,000$/2yrs |
![]() | 0 | 100.00 | 74 | 95 | 69 | 84 | 62 | 72 | 74 | 74 | 72 | 72 | 73 | 62 | 62 | 0 | 36 | 78 | 23 | 875,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 98.00 | 75 | 69 | 69 | 86 | 76 | 73 | 78 | 83 | 76 | 83 | 78 | 73 | 77 | 0 | 31 | 81 | 29 | 3,800,000$/2yrs |
TEAM AVERAGE | 99.00 | 75 | 80 | 70 | 85 | 73 | 74 | 78 | 81 | 77 | 80 | 78 | 70 | 72 | 0 | 31 | 81 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 52 | 68 | 90 | 84 | 75 | 70 | 68 | USA | 54 | 1 | 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 | Vladislav Namestnikov | 0 | C/LW/RW | 26 | 8 | 13 | 21 | -1 | 18 | 0 | 67 | 59 | 18 | 56 | 13.56% | 12 | 19.37 | 1 | 3 | 4 | 69 | 0 | 0 | 0 | 47 | 0 | 0 | 39.33% | 684 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
2 | Kirill Marchenko | 0 | LW/RW | 26 | 7 | 12 | 19 | -1 | 12 | 0 | 31 | 89 | 25 | 62 | 7.87% | 2 | 17.49 | 1 | 2 | 3 | 70 | 0 | 0 | 0 | 0 | 1 | 1 | 48.48% | 33 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
3 | Elias Lindholm | 0 | C/RW | 26 | 8 | 10 | 18 | -6 | 10 | 0 | 12 | 103 | 27 | 85 | 7.77% | 12 | 22.40 | 2 | 3 | 5 | 76 | 0 | 0 | 0 | 43 | 1 | 0 | 56.03% | 746 | 0 | 0 | 0 | 0 | 0.62 | 1 | 3 | |
4 | Erik Karlsson | 0 | D | 25 | 3 | 12 | 15 | -4 | 10 | 0 | 25 | 33 | 17 | 39 | 9.09% | 34 | 25.19 | 0 | 4 | 4 | 72 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
5 | Rasmus Sandin | 78 | D | 26 | 6 | 9 | 15 | -1 | 12 | 0 | 47 | 31 | 5 | 17 | 19.35% | 35 | 22.12 | 3 | 3 | 6 | 66 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
6 | Oliver Wahlstrom | 0 | RW | 26 | 2 | 12 | 14 | -3 | 14 | 0 | 25 | 36 | 9 | 42 | 5.56% | 2 | 11.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 21 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | |
7 | James van Riemsdyk | 0 | LW | 26 | 5 | 8 | 13 | -2 | 2 | 0 | 24 | 61 | 16 | 47 | 8.20% | 1 | 19.64 | 1 | 0 | 1 | 70 | 0 | 0 | 0 | 44 | 1 | 0 | 34.12% | 85 | 0 | 0 | 0 | 0 | 0.51 | 0 | 2 | |
8 | Marcus Pettersson | 0 | D | 26 | 2 | 10 | 12 | -2 | 18 | 0 | 54 | 16 | 1 | 9 | 12.50% | 31 | 17.93 | 1 | 0 | 1 | 14 | 0 | 0 | 0 | 24 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
9 | Anton Stralman | 6 | D | 26 | 3 | 8 | 11 | -16 | 30 | 0 | 32 | 46 | 14 | 25 | 6.52% | 56 | 24.02 | 1 | 1 | 2 | 81 | 0 | 0 | 0 | 73 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
10 | Isac Lundestrom | 0 | C/LW | 26 | 6 | 5 | 11 | -5 | 0 | 0 | 1 | 67 | 10 | 48 | 8.96% | 1 | 12.58 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 14 | 1 | 1 | 50.50% | 200 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
11 | Mason Marchment | 0 | C/LW/RW | 26 | 4 | 6 | 10 | -10 | 31 | 5 | 77 | 49 | 16 | 39 | 8.16% | 7 | 21.37 | 0 | 0 | 0 | 75 | 0 | 0 | 0 | 78 | 1 | 0 | 41.46% | 41 | 0 | 0 | 0 | 0 | 0.36 | 0 | 4 | |
12 | Jakob Silfverberg | 0 | LW/RW | 26 | 5 | 4 | 9 | -5 | 0 | 0 | 8 | 55 | 11 | 27 | 9.09% | 11 | 19.66 | 1 | 2 | 3 | 77 | 0 | 0 | 0 | 44 | 0 | 0 | 45.83% | 24 | 0 | 0 | 0 | 0 | 0.35 | 0 | 2 | |
13 | Matt Grzelcyk | 0 | D | 25 | 2 | 6 | 8 | 1 | 10 | 0 | 21 | 6 | 0 | 8 | 33.33% | 19 | 12.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
14 | Cole Sillinger | 0 | C | 26 | 4 | 4 | 8 | 2 | 8 | 0 | 9 | 26 | 8 | 18 | 15.38% | 3 | 9.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 49.61% | 258 | 0 | 0 | 0 | 0 | 0.68 | 0 | 1 | |
15 | Jamie Drysdale | 0 | D | 26 | 0 | 7 | 7 | 2 | 2 | 0 | 14 | 20 | 3 | 18 | 0.00% | 24 | 18.59 | 0 | 3 | 3 | 53 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
16 | Parker Kelly | 47 | C/LW | 23 | 1 | 1 | 2 | -1 | 4 | 0 | 19 | 9 | 3 | 6 | 11.11% | 1 | 6.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 110 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
17 | Evgenii Dadonov | 32 | LW/RW | 14 | 0 | 1 | 1 | -3 | 0 | 0 | 1 | 15 | 0 | 11 | 0.00% | 0 | 7.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
18 | Kyle Burroughs | 0 | D | 8 | 0 | 1 | 1 | -3 | 12 | 0 | 13 | 3 | 1 | 3 | 0.00% | 11 | 15.56 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
19 | Ryan Lomberg | 94 | C/LW | 18 | 1 | 0 | 1 | -6 | 18 | 0 | 25 | 14 | 2 | 13 | 7.14% | 0 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | |
Team Total or Average | 451 | 67 | 129 | 196 | -64 | 211 | 5 | 505 | 738 | 186 | 573 | 9.08% | 262 | 16.93 | 11 | 21 | 32 | 737 | 0 | 0 | 0 | 631 | 7 | 4 | 47.68% | 2217 | 0 | 0 | 0 | 0 | 0.51 | 1 | 12 |
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 | Matt Murray | 19 | 5 | 11 | 3 | 0.881 | 3.68 | 1143 | 0 | 0 | 70 | 586 | 0 | 1 | 0 | 0.700 | 10 | 19 | 3 | 1 | 1 | 0 | |
2 | Chris Driedger | 8 | 3 | 3 | 1 | 0.903 | 3.42 | 404 | 0 | 0 | 23 | 236 | 0 | 0 | 0 | 0.750 | 4 | 7 | 17 | 1 | 0 | 1 | |
3 | Erik Portillo | 1 | 0 | 0 | 0 | 0.800 | 5.29 | 34 | 0 | 0 | 3 | 15 | 0 | 0 | 0 | 0.000 | 0 | 0 | 6 | 0 | 0 | 0 | |
Team Total or Average | 28 | 8 | 14 | 4 | 0.885 | 3.64 | 1583 | 0 | 0 | 96 | 837 | 0 | 1 | 0 | 0.714 | 14 | 26 | 26 | 2 | 1 | 1 |
Projected Total Cap Hit | 70,729,276$ |
Projected Cap Space | 12,770,724$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,590,032$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Avalanche Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Stralman | D | 37 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Ben Meyers ![]() | C | 25 | 0$ | ||||||||
Chris Driedger | G | 29 | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||||
Cole Sillinger ![]() | C | 20 | 925,000$ | 925,000$ | RFA | ||||||
Elias Lindholm | C/RW | 29 | 4,850,000$ | 4,850,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA |
Erik Karlsson | D | 33 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | |||
Erik Portillo ![]() | G | 23 | 875,000$ | 875,000$ | RFA | ||||||
Evgenii Dadonov | LW/RW | 34 | 2,700,000$ | 2,700,000$ | UFA | ||||||
Isac Lundestrom | C/LW | 24 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Jakob Silfverberg | LW/RW | 33 | 5,250,000$ | 5,250,000$ | UFA | ||||||
James van Riemsdyk | LW | 34 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Jamie Drysdale | D | 21 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Kieffer Bellows ![]() | LW | 25 | 0$ | ||||||||
Kirill Marchenko ![]() | LW/RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Kyle Burroughs ![]() | D | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||||
Marcus Pettersson | D | 27 | 4,025,175$ | 4,025,175$ | 4,025,175$ | UFA | |||||
Mason Marchment | C/LW/RW | 28 | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | |||
Matt Grzelcyk | D | 29 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | ||||
Matt Murray | G | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Oliver Wahlstrom | RW | 23 | 2,300,000$ | 2,300,000$ | 2,300,000$ | ||||||
Parker Kelly ![]() | C/LW | 24 | 775,000$ | 775,000$ | |||||||
Rasmus Sandin | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | ||||||
Ryan Lomberg | C/LW | 28 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Vladislav Namestnikov | C/LW/RW | 31 | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anson Thornton ![]() | G | 20 | 880,000$ | 880,000$ | RFA | ||||||
Anthony Richard ![]() | C/LW | 26 | 775,000$ | 775,000$ | UFA | ||||||
Arshdeep Bains ![]() | LW | 22 | 816,667$ | 816,667$ | 816,667$ | ![]() | |||||
Braeden Kressler ![]() | C | 20 | 835,000$ | 835,000$ | RFA | ||||||
Bryce McConnell-Barker ![]() | C | 19 | 870,000$ | 870,000$ | 870,000$ | 870,000$ | RFA | ||||
Cedric Pare ![]() | C | 24 | 0$ | ![]() | |||||||
Corey Schueneman ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Dmitry Kuzmin ![]() | D | 20 | 820,000$ | 820,000$ | RFA | ||||||
Gage Quinney ![]() | C/LW/RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Georgii Merkulov ![]() | C/LW | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Givani Smith ![]() | LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Greg Printz ![]() | LW | 25 | 0$ | ![]() | |||||||
Hugh McGing ![]() | C/LW | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Hugo Alnefelt ![]() | G | 22 | 850,833$ | 850,833$ | RFA | ||||||
Hunter Shepard ![]() | G | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jack Matier ![]() | D | 20 | 801,667$ | 801,667$ | 801,667$ | 801,667$ | RFA | ||||
Jack Rathbone ![]() | D | 24 | 850,000$ | 850,000$ | ![]() | ||||||
Jean-Luc Foudy ![]() | C | 21 | 925,000$ | 925,000$ | RFA | ||||||
Jiri Kulich ![]() | C | 19 | 775,000$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Jon-Randall Avon ![]() | C | 20 | 850,000$ | 850,000$ | RFA | ||||||
Josh Doan ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Josh Maniscalco ![]() | D | 24 | 0$ | ![]() | |||||||
Lukas Cormier ![]() | D | 21 | 811,667$ | 811,667$ | RFA | ||||||
Michael Sgarbossa ![]() | C/LW | 31 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nicholas Robertson ![]() | LW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Olle Lycksell ![]() | RW | 24 | 787,000$ | 787,000$ | 787,000$ | ![]() | |||||
Radim Simek ![]() | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
Rasmus Asplund ![]() | C/LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Ryan Johnson ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Sasha Pastujov ![]() | LW/RW | 20 | 870,000$ | 870,000$ | RFA | ||||||
Timur Ibragimov ![]() | LW | 23 | 0$ | RFA | |||||||
Todd Burgess ![]() | RW | 27 | 0$ | UFA | |||||||
Tommy Nappier ![]() | G | 25 | 0$ | ![]() | |||||||
Vincent Iorio ![]() | D | 21 | 775,000$ | 775,000$ | RFA | ||||||
Wayne Simmonds ![]() | LW/RW | 35 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Xavier Bernard ![]() | D | 23 | 0$ | ![]() |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 41 | 11 | 14 | 15 | 5 | 46 | 14 | 8 | 22 | 5 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 16 | 29 | 7 | 12 | 5 | 33.3% | 2.4% | 95.7% | 98.1 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 4 | 8 | 3 | 0 | 40 | 13 | 8 | 23 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 23 | 16 | 25 | 6 | 11 | 5 | 20.0% | 6.7% | 87.5% | 94.2 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 22 | 12 | 5 | 5 | 0 | 31 | 11 | 10 | 13 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 20 | 12 | 25 | 7 | 13 | 6 | 50.0% | 18.2% | 80.6% | 98.8 | FUN | |
4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 1 | 1 | 35 | 12 | 9 | 11 | 5 | 27 | 7 | 10 | 22 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 24 | 16 | 25 | 9 | 15 | 7 | 50.0% | 8.6% | 92.6% | 101.2 | DULL | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 23 | 6 | 5 | 12 | 0 | 40 | 7 | 14 | 26 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 21 | 13 | 26 | 8 | 12 | 6 | 75.0% | 13.0% | 95.0% | 108.0 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 29 | 7 | 7 | 15 | 0 | 34 | 12 | 6 | 20 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 15 | 24 | 7 | 12 | 6 | 50.0% | 13.8% | 85.3% | 99.1 | FUN | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 56 | 20 | 18 | 15 | 7 | 77 | 22 | 18 | 42 | 4 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 42 | 28 | 58 | 14 | 23 | 11 | 44.4% | 7.1% | 88.3% | 95.5 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 31 | 5 | 16 | 10 | 0 | 26 | 8 | 8 | 20 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 14 | 24 | 8 | 13 | 6 | 25.0% | 3.2% | 80.8% | 84.0 | Unlucky | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 45 | 16 | 15 | 14 | 0 | 40 | 5 | 6 | 14 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 23 | 15 | 22 | 8 | 14 | 7 | 42.9% | 6.7% | 87.5% | 94.2 | Unlucky | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 4 | 0 | 5 | 0 | 52 | 15 | 11 | 26 | 0 | 52 | 18 | 12 | 42 | 4 | 2 | 50.00% | 6 | 3 | 50.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 46 | 32 | 49 | 14 | 24 | 11 | 70.0% | 17.3% | 88.5% | 105.8 | FUN | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 17 | 4 | 6 | 7 | 0 | 30 | 11 | 6 | 10 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 19 | 12 | 26 | 7 | 14 | 6 | 28.6% | 17.6% | 83.3% | 101.0 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 18 | 1 | 6 | 11 | 0 | 27 | 9 | 10 | 17 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 15 | 24 | 7 | 13 | 5 | 33.3% | 5.6% | 88.9% | 94.4 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 11 | 7 | 15 | 0 | 24 | 12 | 4 | 17 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 24 | 17 | 23 | 7 | 12 | 6 | 50.0% | 3.0% | 91.7% | 94.7 | DULL | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 38 | 17 | 16 | 5 | 0 | 24 | 16 | 6 | 14 | 7 | 2 | 28.57% | 3 | 1 | 66.67% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 23 | 16 | 23 | 7 | 12 | 6 | 50.0% | 10.5% | 87.5% | 98.0 | FUN | |
15 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 15 | -3 | 3 | 0.500 | 12 | 22 | 34 | 0 | 0 | 5 | 2 | 5 | 0 | 108 | 44 | 28 | 34 | 2 | 100 | 31 | 20 | 65 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 71 | 49 | 73 | 22 | 39 | 19 | 45.5% | 11.1% | 85.0% | 96.1 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 25 | 9 | 5 | 11 | 0 | 20 | 6 | 10 | 18 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 23 | 16 | 23 | 7 | 13 | 6 | 33.3% | 8.0% | 80.0% | 88.0 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 20 | 6 | 7 | 7 | 0 | 30 | 6 | 8 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 15 | 26 | 7 | 11 | 5 | 25.0% | 5.0% | 90.0% | 95.0 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 9 | 12 | 14 | 0 | 31 | 14 | 10 | 18 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 21 | 14 | 25 | 6 | 13 | 5 | 0.0% | 0.0% | 80.6% | 80.6 | Unlucky | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 25 | 7 | 8 | 10 | 0 | 29 | 9 | 5 | 23 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 22 | 14 | 23 | 7 | 14 | 7 | 40.0% | 8.0% | 89.7% | 97.7 | Unlucky | |
20 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 7 | 1 | 2 | 0 | 79 | 28 | 15 | 33 | 5 | 109 | 28 | 30 | 60 | 10 | 2 | 20.00% | 13 | 1 | 92.31% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 67 | 45 | 75 | 23 | 42 | 19 | 53.3% | 12.7% | 92.7% | 105.3 | LUCKY | |
_Vs Division | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 27 | -4 | 8 | 0.500 | 23 | 46 | 69 | 0 | 0 | 8 | 4 | 11 | 0 | 219 | 67 | 66 | 86 | 0 | 216 | 78 | 60 | 147 | 30 | 6 | 20.00% | 29 | 10 | 65.52% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 180 | 122 | 196 | 61 | 102 | 50 | 50.0% | 10.5% | 87.5% | 98.0 | FUN | |
_Vs Conference | 20 | 7 | 9 | 0 | 0 | 1 | 0 | 3 | 56 | 75 | -19 | 18 | 0.450 | 56 | 106 | 162 | 0 | 0 | 27 | 8 | 21 | 0 | 592 | 193 | 168 | 222 | 19 | 642 | 208 | 157 | 397 | 66 | 10 | 15.15% | 70 | 19 | 72.86% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 452 | 307 | 506 | 151 | 260 | 125 | 45.1% | 9.5% | 88.3% | 97.8 | FUN | |
_Since Last GM Reset | 26 | 7 | 14 | 0 | 0 | 1 | 1 | 3 | 69 | 99 | -30 | 20 | 0.385 | 69 | 127 | 196 | 0 | 0 | 35 | 10 | 23 | 1 | 747 | 244 | 218 | 273 | 24 | 837 | 259 | 209 | 503 | 83 | 11 | 13.25% | 94 | 24 | 74.47% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 588 | 399 | 656 | 197 | 339 | 163 | 43.6% | 9.2% | 88.2% | 97.4 | FUN | |
Total | 26 | 7 | 14 | 0 | 0 | 1 | 1 | 3 | 69 | 99 | -30 | 20 | 0.385 | 69 | 127 | 196 | 0 | 0 | 35 | 10 | 23 | 1 | 747 | 244 | 218 | 273 | 24 | 837 | 259 | 209 | 503 | 83 | 11 | 13.25% | 94 | 24 | 74.47% | 0 | 416 | 863 | 48.20% | 444 | 916 | 48.47% | 204 | 418 | 48.80% | 588 | 399 | 656 | 197 | 339 | 163 | 43.6% | 9.2% | 88.2% | 97.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 863 |
Neutral Zone Start | 418 |
Defensive Zone Start | 916 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1064 |
Faceoffs Lost | 1133 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 17.8 | 20.31 |
3rd Period | 28.3 | 30.68 |
Overtime | 29.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 58 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 4 | 4 |
Lost | 5 | 9 |
Overtime Lost | 3 | 1 |
PP Attempt | 83 |
---|---|
PP Goal | 11 |
PK Attempt | 94 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 28.7 |
Shots Against | 32.2 |
Goals For | 2.7 |
Goals Against | 3.8 |
Hits | 19.3 |
Shots Blocked | 10.0 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-11 | @ | Avalanche3,Kings4 (SO) | RECAP | |||||||||||
2023-10-14 | @ | Avalanche0,Sharks6 | RECAP | |||||||||||
2023-10-17 | @ | Avalanche3,Kraken2 | RECAP | |||||||||||
2023-10-19 | @ | Blackhawks2,Avalanche1 | RECAP | |||||||||||
2023-10-21 | @ | Hurricanes2,Avalanche3 (SO) | RECAP | |||||||||||
2023-10-24 | @ | Avalanche4,Islanders6 | RECAP | |||||||||||
2023-10-26 | @ | Avalanche1,Penguins3 | RECAP | |||||||||||
2023-10-29 | @ | Avalanche1,Sabres3 | RECAP | |||||||||||
2023-11-01 | @ | Blues4,Avalanche5 | RECAP | |||||||||||
2023-11-04 | @ | Avalanche2,Golden Knights3 | RECAP | |||||||||||
2023-11-07 | @ | Devils5,Avalanche1 | RECAP | |||||||||||
2023-11-09 | @ | Kraken4,Avalanche3 (SO) | RECAP | |||||||||||
2023-11-11 | @ | Blues2,Avalanche4 | RECAP | |||||||||||
2023-11-13 | @ | Avalanche4,Kraken2 | RECAP | |||||||||||
2023-11-15 | @ | Ducks8,Avalanche4 | RECAP | |||||||||||
2023-11-18 | @ | Avalanche2,Stars4 | RECAP | |||||||||||
2023-11-20 | @ | Avalanche1,Predators5 | RECAP | |||||||||||
2023-11-22 | @ | Canucks5,Avalanche4 | RECAP | |||||||||||
2023-11-24 | @ | Avalanche3,Wild2 | RECAP | |||||||||||
2023-11-25 | @ | Flames2,Avalanche1 (SO) | RECAP | |||||||||||
2023-11-27 | @ | Lightning5,Avalanche3 | RECAP | |||||||||||
2023-11-30 | @ | Avalanche3,Coyotes5 | RECAP | |||||||||||
2023-12-02 | @ | Avalanche4,Ducks2 | RECAP | |||||||||||
2023-12-03 | @ | Avalanche1,Kings5 | RECAP | |||||||||||
2023-12-05 | @ | Ducks5,Avalanche4 (OT) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,725,175$ | 0$ | 70,729,276$ | 10,774,825$ |
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 | 67763 | 56622 | 22695 | 45292 | 11017 |
Attendance PCT | 94.12% | 94.37% | 94.56% | 94.36% | 91.81% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 16949 - 94.16% | 1,489,963$ | 17,879,556$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,725,175$ | 72,725,175$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
22,293,144$ | 372,267$ | 21,590,032$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
43,208,927$ | 132 | 383,985$ | 50,686,020$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
52,665,120$ | 72,725,175$ | 40,409,540$ | 30,953,347$ |
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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 ) |
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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. |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aiden Celebrini | 2023 | 162 | |||
Aleksi Malinen | 2021 | 146 | |||
Andrew Strathmann | 2023 | 104 | |||
Arttu Karki | 2023 | 102 | |||
Cam Squires | 2023 | 119 | |||
Colby Ambrosio | 2020 | 112 | |||
Daniil Karpovich | 2023 | 164 | |||
Danila Yurov | 2022 | 14 | |||
Devin Kaplan | 2022 | 76 | |||
Dmitri Zlodeyev | 2020 | 129 | |||
Filip Eriksson | 2023 | 188 | |||
Frank Nazar | 2022 | 7 | |||
Gavin Mccarthy | 2023 | 100 | |||
Gracyn Sawchyn | 2023 | 33 | |||
Iorenzo Canonica | 2021 | 212 | |||
JP Anderson | |||||
Jagger Firkus | 2022 | 29 | |||
Jake Martin | 2021 | 176 | |||
Jakub Malek | 2021 | 122 | |||
Julian Lutz | 2022 | 48 | |||
Koehn Ziemmer | 2023 | 37 | |||
Linus Oberg | |||||
Marshall Warren | 2019 | 137 | 6.5 - 3.5 | ||
Matthew Steinburg | 2019 | 85 | |||
Nico Myatovic | 2023 | 68 | |||
Nikita Grebenkin | 2022 | 156 | |||
Oliver Kapanen | 2021 | 77 | |||
Owen McLaughlin | 2021 | 214 | |||
Patrik Puistola | 2019 | 39 | 7.5 - 7.0 | ||
Peter Reynolds | 2021 | 164 | |||
Ryan Conmy | 2023 | 183 | |||
Topi Ronni | 2022 | 71 | |||
Trevor Wong | 2021 | 167 | |||
Tristan Broz | 2021 | 59 | |||
Victor Stjernborg | 2021 | 99 | |||
Will Smith | 2023 | 5 | |||
Yevgeni Volokhin | 2023 | 132 |
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