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Full Scoreboard »» |
Colorado Avalanche 27-38-3, 57pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 63 | LW/RW | 97.00 | 59 | 32 | 96 | 91 | 67 | 83 | 90 | 81 | 55 | 86 | 82 | 63 | 82 | 66 | 66 | 0 | 38 | 90 | 24 | 4,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 33 | 82 | 79 | 84 | 82 | 78 | 81 | 55 | 83 | 79 | 59 | 80 | 82 | 81 | 0 | 44 | 87 | 33 | 7,000,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 58 | 33 | 85 | 67 | 81 | 82 | 84 | 68 | 59 | 71 | 67 | 85 | 67 | 80 | 87 | 0 | 34 | 82 | 32 | 5,250,000$/2yrs | |||
![]() | 32 | LW/RW | 100.00 | 66 | 32 | 90 | 67 | 73 | 81 | 88 | 71 | 58 | 73 | 73 | 63 | 72 | 82 | 81 | 0 | 46 | 81 | 34 | 5,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 73 | 47 | 69 | 75 | 81 | 75 | 88 | 72 | 59 | 73 | 73 | 65 | 72 | 63 | 60 | 0 | 47 | 81 | 22 | 894,167$/1yrs | |||
![]() | 94 | C/LW | 98.00 | 82 | 49 | 50 | 65 | 70 | 74 | 85 | 69 | 59 | 67 | 69 | 69 | 69 | 73 | 68 | 0 | 36 | 78 | 28 | 900,000$/1yrs | |||
![]() | 17 | C/LW | 100.00 | 65 | 38 | 84 | 66 | 70 | 69 | 71 | 66 | 74 | 69 | 69 | 69 | 69 | 76 | 74 | 0 | 39 | 77 | 30 | 750,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 32 | 96 | 69 | 71 | 78 | 87 | 68 | 60 | 72 | 65 | 65 | 66 | 67 | 66 | 0 | 44 | 77 | 25 | 1,200,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 86 | 37 | 85 | 65 | 77 | 75 | 78 | 65 | 57 | 71 | 66 | 62 | 65 | 66 | 64 | 0 | 44 | 76 | 24 | 1,000,000$/1yrs | |||
![]() | 47 | C/LW | 100.00 | 90 | 46 | 79 | 55 | 74 | 71 | 89 | 59 | 59 | 63 | 58 | 81 | 58 | 64 | 62 | 0 | 42 | 75 | 23 | 762,500$/2yrs | |||
![]() | 17 | LW/RW | 100.00 | 84 | 51 | 56 | 58 | 74 | 70 | 82 | 64 | 60 | 68 | 62 | 62 | 63 | 83 | 78 | 0 | 28 | 74 | 34 | 1,500,000$/2yrs | |||
![]() | 6 | D | 100.00 | 75 | 32 | 93 | 61 | 74 | 90 | 83 | 70 | 30 | 69 | 67 | 89 | 68 | 87 | 87 | 0 | 40 | 85 | 36 | 3,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 80 | 35 | 81 | 64 | 73 | 84 | 88 | 68 | 30 | 73 | 57 | 74 | 62 | 70 | 68 | 0 | 39 | 81 | 26 | 4,025,175$/3yrs | |||
![]() | 78 | D | 100.00 | 82 | 35 | 92 | 66 | 70 | 84 | 83 | 65 | 30 | 74 | 65 | 67 | 65 | 63 | 62 | 0 | 28 | 80 | 23 | 2,600,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 33 | 88 | 62 | 75 | 83 | 70 | 64 | 30 | 68 | 65 | 77 | 65 | 71 | 70 | 0 | 38 | 79 | 27 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 95.00 | 62 | 33 | 96 | 70 | 75 | 80 | 88 | 68 | 80 | 69 | 70 | 82 | 69 | 64 | 64 | 0 | 35 | 80 | 23 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 67 | 32 | 92 | 55 | 74 | 74 | 77 | 54 | 80 | 50 | 61 | 60 | 58 | 65 | 64 | 0 | 20 | 68 | 24 | 912,500$/1yrs | |||
![]() | 0 | D | 95.00 | 59 | 32 | 91 | 98 | 74 | 96 | 90 | 77 | 30 | 95 | 82 | 70 | 79 | 81 | 97 | 0 | 37 | 98 | 32 | 11,500,000$/5yrs | |||
![]() | 0 | D | 95.00 | 74 | 34 | 86 | 77 | 86 | 98 | 87 | 77 | 30 | 83 | 63 | 88 | 70 | 73 | 80 | 0 | 38 | 91 | 28 | 9,500,000$/8yrs | |||
![]() | 82 | D | 100.00 | 65 | 32 | 94 | 56 | 73 | 84 | 80 | 61 | 30 | 64 | 61 | 69 | 61 | 76 | 76 | 0 | 18 | 75 | 30 | 3,000,000$/1yrs | |||
TEAM AVERAGE | 98.95 | 70 | 36 | 84 | 68 | 75 | 81 | 83 | 68 | 51 | 72 | 68 | 71 | 68 | 73 | 73 | 0 | 37 | 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 | 98.00 | 75 | 73 | 74 | 82 | 77 | 79 | 78 | 75 | 79 | 76 | 77 | 73 | 75 | 0 | 18 | 81 | 27 | 750,000$/1yrs |
![]() | 34 | 100.00 | 72 | 70 | 72 | 74 | 80 | 78 | 78 | 72 | 78 | 72 | 76 | 83 | 86 | 0 | 22 | 80 | 33 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 95.00 | 87 | 81 | 75 | 85 | 89 | 79 | 88 | 88 | 88 | 87 | 88 | 74 | 78 | 0 | 13 | 88 | 28 | 5,750,000$/1yrs |
TEAM AVERAGE | 97.67 | 78 | 75 | 74 | 80 | 82 | 79 | 81 | 78 | 82 | 78 | 80 | 77 | 80 | 0 | 18 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Don Granato | 52 | 68 | 90 | 84 | 75 | 70 | 68 | USA | 53 | 2 | 1,000,000$ |
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 | Jesper Bratt | 63 | LW/RW | 68 | 20 | 27 | 47 | -11 | 12 | 0 | 62 | 242 | 63 | 170 | 8.26% | 8 | 21.52 | 5 | 11 | 16 | 205 | 0 | 1 | 1 | 115 | 3 | 0 | 34.26% | 108 | 0 | 0 | 0 | 0 | 0.64 | 4 | 6 | |
2 | Seth Jones | 0 | D | 69 | 12 | 24 | 36 | -24 | 77 | 5 | 175 | 95 | 39 | 60 | 12.63% | 120 | 24.68 | 9 | 5 | 14 | 220 | 0 | 0 | 0 | 128 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
3 | Erik Karlsson | 0 | D | 67 | 10 | 25 | 35 | -26 | 16 | 0 | 64 | 119 | 48 | 76 | 8.40% | 89 | 25.25 | 3 | 6 | 9 | 184 | 0 | 0 | 0 | 165 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 1 | 1 | |
4 | Jakob Silfverberg | 0 | LW/RW | 68 | 14 | 21 | 35 | -18 | 9 | 5 | 42 | 151 | 51 | 121 | 9.27% | 15 | 18.54 | 2 | 6 | 8 | 159 | 0 | 0 | 0 | 83 | 4 | 1 | 36.59% | 82 | 0 | 0 | 0 | 0 | 0.56 | 2 | 4 | |
5 | Anton Stralman | 6 | D | 68 | 7 | 26 | 33 | 2 | 44 | 0 | 82 | 107 | 27 | 59 | 6.54% | 101 | 20.95 | 4 | 2 | 6 | 168 | 1 | 0 | 1 | 152 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
6 | Isac Lundestrom | 0 | C/LW | 67 | 9 | 19 | 28 | 1 | 14 | 0 | 65 | 91 | 32 | 73 | 9.89% | 18 | 18.54 | 2 | 6 | 8 | 155 | 0 | 0 | 0 | 126 | 0 | 0 | 48.43% | 1497 | 0 | 0 | 0 | 0 | 0.45 | 0 | 1 | |
7 | James van Riemsdyk | 0 | LW | 68 | 9 | 17 | 26 | -14 | 16 | 0 | 96 | 118 | 39 | 127 | 7.63% | 12 | 21.77 | 1 | 4 | 5 | 169 | 0 | 0 | 0 | 164 | 3 | 1 | 40.07% | 277 | 0 | 0 | 0 | 0 | 0.35 | 0 | 2 | |
8 | Evgenii Dadonov | 32 | LW/RW | 68 | 7 | 17 | 24 | -22 | 10 | 0 | 70 | 122 | 37 | 101 | 5.74% | 8 | 17.88 | 1 | 2 | 3 | 182 | 0 | 0 | 0 | 13 | 1 | 2 | 40.78% | 103 | 0 | 0 | 0 | 0 | 0.39 | 1 | 1 | |
9 | Marcus Pettersson | 0 | D | 60 | 3 | 19 | 22 | 9 | 65 | 5 | 126 | 39 | 17 | 29 | 7.69% | 63 | 18.89 | 0 | 4 | 4 | 129 | 0 | 0 | 0 | 107 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
10 | Rasmus Asplund | 0 | C/LW | 68 | 8 | 10 | 18 | -16 | 16 | 0 | 27 | 82 | 27 | 71 | 9.76% | 5 | 12.50 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 41.28% | 889 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
11 | Ryan Lomberg | 94 | C/LW | 68 | 8 | 7 | 15 | -2 | 35 | 5 | 108 | 53 | 11 | 41 | 15.09% | 5 | 10.16 | 1 | 0 | 1 | 56 | 0 | 0 | 0 | 23 | 1 | 0 | 43.58% | 771 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
12 | Oliver Wahlstrom | 0 | RW | 68 | 7 | 8 | 15 | -9 | 23 | 15 | 57 | 100 | 17 | 67 | 7.00% | 7 | 12.29 | 0 | 3 | 3 | 62 | 0 | 0 | 0 | 18 | 1 | 1 | 39.24% | 79 | 0 | 0 | 0 | 0 | 0.36 | 0 | 1 | |
13 | Parker Kelly | 47 | C/LW | 68 | 7 | 6 | 13 | 2 | 24 | 0 | 89 | 60 | 16 | 46 | 11.67% | 12 | 10.07 | 1 | 4 | 5 | 124 | 0 | 0 | 0 | 76 | 3 | 1 | 41.91% | 346 | 0 | 0 | 0 | 0 | 0.38 | 2 | 3 | |
14 | Kieffer Bellows | 0 | LW | 68 | 2 | 5 | 7 | -10 | 47 | 15 | 88 | 60 | 14 | 43 | 3.33% | 2 | 10.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.43% | 47 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
15 | Corey Schueneman | 0 | D | 32 | 2 | 4 | 6 | -8 | 22 | 0 | 29 | 26 | 11 | 20 | 7.69% | 40 | 16.59 | 2 | 1 | 3 | 66 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
16 | Michael Sgarbossa | 17 | C/LW | 61 | 2 | 3 | 5 | -9 | 9 | 5 | 9 | 56 | 11 | 34 | 3.57% | 11 | 11.61 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 36 | 0 | 1 | 52.13% | 704 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
17 | Rasmus Sandin | 78 | D | 30 | 1 | 3 | 4 | -6 | 16 | 0 | 51 | 11 | 6 | 6 | 9.09% | 28 | 15.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.17 | 0 | 0 | |
18 | Jordan Oesterle | 82 | D | 31 | 1 | 2 | 3 | -8 | 6 | 0 | 27 | 11 | 4 | 4 | 9.09% | 16 | 14.16 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 14 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | |
19 | Wayne Simmonds | 17 | LW/RW | 58 | 1 | 2 | 3 | -3 | 13 | 5 | 66 | 22 | 3 | 12 | 4.55% | 2 | 9.07 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 15 | 0 | 0 | 34.82% | 247 | 0 | 0 | 0 | 0 | 0.11 | 1 | 2 | |
20 | Ben Meyers | 0 | C | 13 | 1 | 1 | 2 | -5 | 6 | 0 | 15 | 17 | 3 | 9 | 5.88% | 1 | 15.50 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 44.77% | 239 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
Team Total or Average | 1168 | 131 | 246 | 377 | -177 | 480 | 60 | 1348 | 1582 | 476 | 1169 | 8.28% | 563 | 16.52 | 31 | 55 | 86 | 1957 | 1 | 1 | 2 | 1311 | 22 | 12 | 44.59% | 5389 | 0 | 0 | 1 | 0 | 0.39 | 11 | 21 |
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 | 40 | 14 | 23 | 0 | 0.913 | 2.66 | 2188 | 2 | 3 | 97 | 1112 | 0 | 2 | 0 | 1.000 | 6 | 37 | 27 | 7 | 1 | 3 | |
2 | Hunter Shepard | 36 | 13 | 15 | 3 | 0.905 | 2.79 | 1871 | 4 | 0 | 87 | 918 | 0 | 0 | 0 | 0.769 | 13 | 31 | 37 | 3 | 2 | 1 | |
Team Total or Average | 76 | 27 | 38 | 3 | 0.909 | 2.72 | 4059 | 6 | 3 | 184 | 2030 | 0 | 2 | 0 | 0.842 | 19 | 68 | 64 | 10 | 3 | 4 |
Projected Total Cap Hit | 59,052,905$ |
Projected Cap Space | 23,447,095$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 54,903,707$ |
Players In Salary Cap | 14 |
LTIR Players | 9 |
Avalanche Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Stralman | D | 36 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Ben Meyers ![]() | C | 24 | 912,500$ | 912,500$ | RFA | ||||||
Corey Schueneman ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Erik Karlsson ![]() | D | 32 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | UFA | ||
Evgenii Dadonov | LW/RW | 34 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Hunter Shepard ![]() ![]() | G | 27 | 750,000$ | 750,000$ | |||||||
Isac Lundestrom ![]() | C/LW | 23 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Jakob Silfverberg | LW/RW | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
James van Riemsdyk ![]() | LW | 33 | 7,000,000$ | 7,000,000$ | UFA | ||||||
Jesper Bratt ![]() | LW/RW | 24 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Jordan Oesterle ![]() | D | 30 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Kieffer Bellows ![]() | LW | 24 | 1,000,000$ | 1,000,000$ | |||||||
Marcus Pettersson | D | 26 | 4,025,175$ | 4,025,175$ | 4,025,175$ | 4,025,175$ | UFA | ||||
Matt Murray ![]() | G | 28 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Michael Sgarbossa ![]() | C/LW | 30 | 750,000$ | 750,000$ | UFA | ||||||
Oliver Wahlstrom ![]() | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Parker Kelly ![]() | C/LW | 23 | 762,500$ | 762,500$ | 762,500$ | ||||||
Rasmus Asplund ![]() | C/LW | 25 | 1,200,000$ | 1,200,000$ | |||||||
Rasmus Sandin ![]() | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | 2,600,000$ | |||||
Ryan Lomberg ![]() | C/LW | 28 | 900,000$ | 900,000$ | UFA | ||||||
Seth Jones ![]() | D | 28 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ |
Troy Grosenick ![]() ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Wayne Simmonds | LW/RW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anson Thornton ![]() | G | 19 | 880,000$ | 880,000$ | 880,000$ | RFA | |||||
Anthony Richard ![]() ![]() | C/LW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Arshdeep Bains ![]() | LW | 22 | 816,667$ | 816,667$ | 816,667$ | 816,667$ | RFA | ||||
Braeden Kressler ![]() | C | 20 | 835,000$ | 835,000$ | 835,000$ | RFA | |||||
Cedric Pare ![]() ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Dmitry Kuzmin ![]() | D | 19 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Georgi Merkulov ![]() | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Givani Smith ![]() | LW/RW | 25 | 950,000$ | 950,000$ | ![]() | ||||||
Greg Printz ![]() | LW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Hugh McGing ![]() | C/LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jack Rathbone ![]() | D | 23 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Jamie Drysdale ![]() ![]() | D | 20 | 925,000$ | 925,000$ | RFA | ||||||
Jean-Luc Foudy ![]() | C | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jon-Randall Avon ![]() | C | 19 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Joshua Maniscalco ![]() | D | 24 | 853,333$ | 853,333$ | RFA | ||||||
Kirill Marchenko ![]() ![]() | LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Kyle Burroughs ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Lukas Cormier ![]() | D | 20 | 811,667$ | 811,667$ | 811,667$ | RFA | |||||
Max Willman ![]() | C | 28 | 750,000$ | 750,000$ | UFA | ||||||
Olle Lycksell ![]() | RW | 23 | 837,500$ | 837,500$ | RFA | ||||||
Sasha Pastujov ![]() | LW/RW | 19 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Timur Ibragimov ![]() | LW | 22 | 813,333$ | 813,333$ | RFA | ||||||
Todd Burgess ![]() | RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Tommy Nappier ![]() ![]() | G | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Xavier Bernard ![]() | D | 22 | 750,000$ | 750,000$ | 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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 50 | 14 | 15 | 21 | 0 | 73 | 29 | 32 | 53 | 7 | 1 | 14.29% | 16 | 3 | 81.25% | 1 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 63 | 43 | 76 | 24 | 39 | 17 | 50.0% | 10.0% | 90.4% | 100.4 | FUN | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 51 | 20 | 8 | 23 | 0 | 54 | 9 | 10 | 34 | 13 | 2 | 15.38% | 3 | 1 | 66.67% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 50 | 35 | 44 | 15 | 24 | 12 | 12.5% | 5.9% | 85.2% | 91.1 | Unlucky | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 57 | 21 | 19 | 17 | 0 | 59 | 17 | 4 | 52 | 6 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 46 | 31 | 49 | 13 | 23 | 12 | 50.0% | 1.8% | 96.6% | 98.4 | DULL | |
4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 51 | 16 | 19 | 16 | 0 | 86 | 18 | 10 | 36 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 45 | 31 | 50 | 14 | 24 | 12 | 33.3% | 9.8% | 89.5% | 99.3 | FUN | |
5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 45 | 13 | 14 | 18 | 0 | 63 | 23 | 14 | 46 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 43 | 29 | 50 | 14 | 26 | 13 | 27.3% | 11.1% | 85.7% | 96.8 | FUN | |
6 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 2 | 0 | 0 | 0 | 46 | 20 | 10 | 16 | 0 | 38 | 12 | 14 | 50 | 9 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 51 | 35 | 43 | 14 | 25 | 13 | 40.0% | 4.3% | 89.5% | 93.8 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 42 | 7 | 18 | 17 | 0 | 60 | 19 | 16 | 47 | 6 | 2 | 33.33% | 7 | 3 | 57.14% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 44 | 29 | 48 | 14 | 26 | 12 | 25.0% | 7.1% | 90.0% | 97.1 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 6 | 5 | 10 | 0 | 44 | 19 | 12 | 27 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 16 | 9 | 30 | 8 | 13 | 6 | 60.0% | 14.3% | 95.5% | 109.7 | LUCKY | |
9 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 0 | 1 | 46 | 13 | 21 | 11 | 1 | 54 | 19 | 12 | 36 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 43 | 30 | 51 | 15 | 25 | 11 | 50.0% | 10.9% | 90.7% | 101.6 | FUN | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 53 | 18 | 16 | 19 | 0 | 52 | 15 | 19 | 46 | 6 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 43 | 29 | 52 | 15 | 24 | 12 | 66.7% | 7.5% | 92.3% | 99.9 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 0 | 4 | 0 | 1 | 47 | 6 | 25 | 14 | 5 | 46 | 20 | 4 | 46 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 48 | 33 | 50 | 15 | 26 | 13 | 66.7% | 10.6% | 95.7% | 106.3 | LUCKY | |
12 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 74 | 25 | 25 | 24 | 0 | 93 | 40 | 25 | 59 | 11 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 71 | 49 | 70 | 22 | 38 | 18 | 25.0% | 4.1% | 87.1% | 91.2 | Unlucky | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 40 | 14 | 18 | 8 | 0 | 84 | 28 | 24 | 36 | 5 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 44 | 31 | 50 | 14 | 25 | 12 | 25.0% | 5.0% | 88.1% | 93.1 | Unlucky | |
14 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 7 | 4 | 7 | 0.875 | 11 | 17 | 28 | 0 | 0 | 4 | 5 | 1 | 2 | 104 | 36 | 34 | 34 | 3 | 110 | 25 | 22 | 82 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 94 | 64 | 101 | 30 | 49 | 24 | 60.0% | 10.6% | 93.6% | 104.2 | LUCKY | |
15 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 2 | 1 | 47 | 12 | 15 | 18 | 2 | 48 | 8 | 8 | 34 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 50 | 36 | 45 | 15 | 24 | 12 | 44.4% | 8.5% | 87.5% | 96.0 | Unlucky | |
16 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 1 | 3 | 0 | 1 | 49 | 13 | 16 | 19 | 4 | 61 | 13 | 31 | 44 | 4 | 1 | 25.00% | 7 | 1 | 85.71% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 47 | 33 | 54 | 13 | 23 | 11 | 50.0% | 10.2% | 91.8% | 102.0 | LUCKY | |
17 | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 7 | 12 | -5 | 1 | 0.125 | 7 | 14 | 21 | 0 | 0 | 0 | 5 | 2 | 0 | 102 | 25 | 50 | 26 | 1 | 122 | 38 | 26 | 78 | 16 | 3 | 18.75% | 13 | 3 | 76.92% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 87 | 57 | 104 | 30 | 50 | 24 | 30.8% | 6.9% | 90.2% | 97.0 | Unlucky | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 12 | -8 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 0 | 2 | 1 | 41 | 9 | 13 | 18 | 4 | 94 | 22 | 14 | 42 | 3 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 41 | 28 | 58 | 14 | 25 | 11 | 30.8% | 9.8% | 87.2% | 97.0 | FUN | |
19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 0 | 1 | 35 | 15 | 12 | 6 | 2 | 84 | 22 | 20 | 33 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 42 | 28 | 54 | 14 | 24 | 11 | 25.0% | 5.7% | 95.2% | 101.0 | DULL | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 55 | 16 | 22 | 17 | 0 | 42 | 23 | 6 | 56 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 48 | 33 | 47 | 13 | 24 | 12 | 28.6% | 3.6% | 88.1% | 91.7 | Unlucky | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 12 | 13 | 12 | 0 | 75 | 23 | 16 | 47 | 7 | 3 | 42.86% | 8 | 1 | 87.50% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 41 | 28 | 54 | 13 | 23 | 11 | 12.5% | 10.8% | 89.3% | 100.1 | FUN | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 50 | 11 | 19 | 20 | 0 | 58 | 19 | 8 | 57 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 43 | 29 | 52 | 15 | 23 | 11 | 42.9% | 6.0% | 91.4% | 97.4 | DULL | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 0 | 4 | 2 | 0 | 41 | 15 | 17 | 9 | 0 | 49 | 18 | 16 | 34 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 39 | 25 | 54 | 15 | 25 | 12 | 66.7% | 14.6% | 93.9% | 108.5 | LUCKY | |
24 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 1 | 3 | 76 | 21 | 28 | 27 | 6 | 88 | 20 | 27 | 81 | 9 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 65 | 44 | 80 | 22 | 39 | 18 | 63.6% | 9.2% | 93.2% | 102.4 | LUCKY | |
25 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 19 | 12 | 2 | 5 | 0 | 34 | 10 | 6 | 29 | 1 | 1 | 100.00% | 3 | 2 | 33.33% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 20 | 13 | 26 | 7 | 13 | 6 | 40.0% | 15.8% | 85.3% | 101.1 | FUN | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 1 | 4 | 3 | 0 | 79 | 30 | 24 | 25 | 0 | 73 | 19 | 11 | 62 | 12 | 2 | 16.67% | 3 | 0 | 100.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 76 | 53 | 63 | 21 | 39 | 21 | 46.2% | 10.1% | 90.4% | 100.5 | FUN | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 38 | 13 | 10 | 15 | 0 | 77 | 18 | 25 | 35 | 4 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 44 | 31 | 50 | 14 | 25 | 11 | 42.9% | 7.9% | 90.9% | 98.8 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 3 | 9 | 8 | 0 | 37 | 9 | 4 | 30 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 25 | 18 | 22 | 6 | 11 | 5 | 0.0% | 0.0% | 97.3% | 97.3 | DULL | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 3 | 0 | 0 | 0 | 26 | 10 | 9 | 7 | 0 | 27 | 7 | 6 | 13 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 27 | 20 | 19 | 6 | 12 | 6 | 100.0% | 11.5% | 96.3% | 107.8 | LUCKY | |
30 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 21 | 32 | 0 | 0 | 2 | 5 | 4 | 0 | 79 | 23 | 28 | 28 | 0 | 65 | 25 | 25 | 52 | 10 | 1 | 10.00% | 10 | 1 | 90.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 70 | 48 | 70 | 23 | 38 | 19 | 62.5% | 13.9% | 89.2% | 103.2 | FUN | |
31 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 4 | 4 | 6 | 1.000 | 8 | 11 | 19 | 0 | 0 | 1 | 3 | 3 | 3 | 70 | 25 | 17 | 26 | 5 | 90 | 20 | 39 | 58 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 74 | 51 | 71 | 23 | 38 | 19 | 66.7% | 11.4% | 95.6% | 107.0 | LUCKY | |
_Vs Division | 20 | 6 | 8 | 0 | 0 | 2 | 4 | 0 | 46 | 54 | -8 | 22 | 0.550 | 46 | 81 | 127 | 0 | 1 | 10 | 22 | 10 | 7 | 486 | 139 | 187 | 156 | 19 | 608 | 167 | 120 | 438 | 68 | 11 | 16.18% | 52 | 10 | 80.77% | 0 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 454 | 310 | 513 | 149 | 255 | 125 | 44.3% | 9.5% | 91.1% | 100.6 | Unlucky | |
_Vs Conference | 38 | 13 | 17 | 0 | 0 | 2 | 6 | 0 | 86 | 105 | -19 | 40 | 0.526 | 86 | 151 | 237 | 0 | 1 | 22 | 37 | 21 | 11 | 893 | 275 | 317 | 294 | 28 | 1135 | 339 | 308 | 782 | 123 | 18 | 14.63% | 116 | 26 | 77.59% | 1 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 875 | 602 | 952 | 283 | 485 | 237 | 46.3% | 9.6% | 90.7% | 100.4 | FUN | |
_Since Last GM Reset | 68 | 18 | 38 | 0 | 3 | 3 | 6 | 0 | 137 | 185 | -48 | 57 | 0.419 | 137 | 245 | 382 | 0 | 3 | 34 | 58 | 36 | 14 | 1591 | 494 | 551 | 534 | 33 | 2040 | 607 | 506 | 1435 | 220 | 30 | 13.64% | 200 | 45 | 77.50% | 1 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 1553 | 1068 | 1700 | 503 | 862 | 421 | 43.3% | 8.6% | 90.9% | 99.5 | Unlucky | |
Total | 68 | 18 | 38 | 0 | 3 | 3 | 6 | 0 | 137 | 185 | -48 | 57 | 0.419 | 137 | 245 | 382 | 0 | 3 | 34 | 58 | 36 | 14 | 1591 | 494 | 551 | 534 | 33 | 2040 | 607 | 506 | 1435 | 220 | 30 | 13.64% | 200 | 45 | 77.50% | 1 | 881 | 2016 | 43.70% | 1083 | 2348 | 46.12% | 440 | 972 | 45.27% | 1553 | 1068 | 1700 | 503 | 862 | 421 | 43.3% | 8.6% | 90.9% | 99.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 2016 |
Neutral Zone Start | 972 |
Defensive Zone Start | 2348 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 2404 |
Faceoffs Lost | 2932 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.3 | 9.57 |
2nd Period | 15.4 | 20.31 |
3rd Period | 23.2 | 30.68 |
Overtime | 23.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.1 | 2.83 |
Even Strenght Goal | 106 |
---|---|
PP Goal | 30 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 12 | 15 |
Lost | 21 | 17 |
Overtime Lost | 1 | 2 |
PP Attempt | 220 |
---|---|
PP Goal | 30 |
PK Attempt | 200 |
PK Goal Against | 45 |
Home | |
---|---|
Shots For | 23.4 |
Shots Against | 30.0 |
Goals For | 2.0 |
Goals Against | 2.7 |
Hits | 21.1 |
Shots Blocked | 8.9 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-12 | @ | Blackhawks5,Avalanche2 | RECAP | |||||||||||
2022-10-13 | @ | Avalanche2,Flames4 | RECAP | |||||||||||
2022-10-17 | @ | Avalanche1,Wild0 (SO) | RECAP | |||||||||||
2022-10-19 | @ | Jets3,Avalanche1 | RECAP | |||||||||||
2022-10-21 | @ | Kraken1,Avalanche3 | RECAP | |||||||||||
2022-10-22 | @ | Avalanche3,Golden Knights2 | RECAP | |||||||||||
2022-10-25 | @ | Avalanche1,Rangers2 | RECAP | |||||||||||
2022-10-28 | @ | Avalanche1,Devils0 | RECAP | |||||||||||
2022-10-29 | @ | Avalanche3,Islanders4 | RECAP | |||||||||||
2022-11-04 | @ | Blue Jackets0,Avalanche2 | RECAP | |||||||||||
2022-11-05 | @ | Avalanche4,Blue Jackets3 | RECAP | |||||||||||
2022-11-10 | @ | Predators1,Avalanche3 | RECAP | |||||||||||
2022-11-12 | @ | Hurricanes2,Avalanche1 | RECAP | |||||||||||
2022-11-14 | @ | Blues2,Avalanche1 (OT) | RECAP | |||||||||||
2022-11-17 | @ | Avalanche1,Hurricanes2 (OT) | RECAP | |||||||||||
2022-11-19 | @ | Avalanche4,Capitals1 | RECAP | |||||||||||
2022-11-21 | @ | Avalanche2,Stars3 | RECAP | |||||||||||
2022-11-23 | @ | Canucks6,Avalanche1 | RECAP | |||||||||||
2022-11-25 | @ | Avalanche2,Predators1 (SO) | RECAP | |||||||||||
2022-11-26 | @ | Stars2,Avalanche3 | RECAP | |||||||||||
2022-11-29 | @ | Avalanche4,Jets2 | RECAP | |||||||||||
2022-12-01 | @ | Avalanche2,Sabres4 | RECAP | |||||||||||
2022-12-03 | @ | Avalanche2,Bruins1 (OT) | RECAP | |||||||||||
2022-12-05 | @ | Avalanche1,Flyers3 | RECAP | |||||||||||
2022-12-07 | @ | Bruins3,Avalanche0 | RECAP | |||||||||||
2022-12-09 | @ | Rangers4,Avalanche2 | RECAP | |||||||||||
2022-12-11 | @ | Avalanche2,Blues4 | RECAP | |||||||||||
2022-12-13 | @ | Flyers5,Avalanche2 | RECAP | |||||||||||
2022-12-15 | @ | Sabres1,Avalanche0 | RECAP | |||||||||||
2022-12-17 | @ | Predators2,Avalanche4 | RECAP | |||||||||||
2022-12-19 | @ | Islanders5,Avalanche2 | RECAP | |||||||||||
2022-12-21 | @ | Canadiens2,Avalanche3 (OT) | RECAP | |||||||||||
2022-12-23 | @ | Avalanche2,Predators3 (OT) | RECAP | |||||||||||
2022-12-27 | @ | Avalanche3,Coyotes2 (SO) | RECAP | |||||||||||
2022-12-29 | @ | Kings4,Avalanche1 | RECAP | |||||||||||
2022-12-31 | @ | Maple Leafs3,Avalanche1 | RECAP | |||||||||||
2023-01-02 | @ | Golden Knights3,Avalanche4 | RECAP | |||||||||||
2023-01-05 | @ | Avalanche1,Canucks4 | RECAP | |||||||||||
2023-01-07 | @ | Avalanche3,Oilers2 (SO) | RECAP | |||||||||||
2023-01-10 | @ | Panthers3,Avalanche2 | RECAP | |||||||||||
2023-01-12 | @ | Avalanche2,Blackhawks3 | RECAP | |||||||||||
2023-01-14 | @ | Senators3,Avalanche1 | RECAP | |||||||||||
2023-01-16 | @ | Red Wings2,Avalanche3 | RECAP | |||||||||||
2023-01-18 | @ | Avalanche1,Flames2 | RECAP | |||||||||||
2023-01-20 | @ | Avalanche1,Canucks2 | RECAP | |||||||||||
2023-01-21 | @ | Avalanche2,Kraken1 (SO) | RECAP | |||||||||||
2023-01-24 | @ | Capitals3,Avalanche0 | RECAP | |||||||||||
2023-01-26 | @ | Ducks5,Avalanche3 | RECAP | |||||||||||
2023-01-28 | @ | Blues2,Avalanche1 | RECAP | |||||||||||
2023-02-07 | @ | Avalanche0,Penguins1 | RECAP | |||||||||||
2023-02-09 | @ | Avalanche2,Lightning1 (OT) | RECAP | |||||||||||
2023-02-11 | @ | Avalanche1,Panthers2 | RECAP | |||||||||||
2023-02-14 | @ | Lightning5,Avalanche2 | RECAP | |||||||||||
2023-02-15 | @ | Avalanche4,Wild2 | RECAP | |||||||||||
2023-02-18 | @ | Avalanche3,Blues4 | RECAP | |||||||||||
2023-02-19 | @ | Oilers3,Avalanche2 | RECAP | |||||||||||
2023-02-24 | @ | Avalanche2,Jets1 (SO) | RECAP | |||||||||||
2023-02-25 | @ | Flames1,Avalanche2 | RECAP | |||||||||||
2023-02-27 | @ | Golden Knights2,Avalanche4 | RECAP | |||||||||||
2023-03-01 | @ | Devils2,Avalanche0 | RECAP | |||||||||||
2023-03-04 | @ | Avalanche3,Stars2 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-05 | @ | Kraken2,Avalanche3 | RECAP | |||||||||||
2023-03-07 | @ | Sharks1,Avalanche3 | RECAP | |||||||||||
2023-03-09 | @ | Kings6,Avalanche1 | RECAP | |||||||||||
2023-03-11 | @ | Coyotes10,Avalanche1 | RECAP | |||||||||||
2023-03-13 | @ | Avalanche2,Canadiens3 | RECAP | |||||||||||
2023-03-15 | @ | Avalanche2,Maple Leafs4 | RECAP | |||||||||||
2023-03-16 | @ | Avalanche4,Senators6 | RECAP | |||||||||||
2023-03-18 | @ | |||||||||||||
2023-03-20 | @ | |||||||||||||
2023-03-22 | @ | |||||||||||||
2023-03-24 | @ | |||||||||||||
2023-03-26 | @ | |||||||||||||
2023-03-27 | @ | |||||||||||||
2023-03-29 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
72,794,342$ | 0$ | 59,052,905$ | 9,705,658$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 191583 | 160217 | 63473 | 128318 | 32111 |
Attendance PCT | 93.91% | 94.25% | 93.34% | 94.35% | 94.44% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16932 - 94.07% | 1,493,494$ | 50,778,781$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
72,794,342$ | 72,794,342$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
60,611,375$ | 153,674$ | 54,903,707$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,454,455$ | 27 | 390,446$ | 10,542,042$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
10,823,782$ | 72,794,342$ | 45,563,436$ | 45,194,109$ |
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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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 |
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8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aleksi Malinen | 2021 | 146 | |||
Colby Ambrosio | 2020 | 112 | |||
Danila Yurov | 2022 | 14 | |||
Devin Kaplan | 2022 | 76 | |||
Erik Portillo | 2019 | 84 | |||
Frank Nazar | 2022 | 7 | |||
Iorenzo Canonica | 2021 | 212 | |||
JP Anderson | |||||
Jack Matier | 2021 | 137 | |||
Jagger Firkus | 2022 | 29 | |||
Jake Martin | 2021 | 176 | |||
Jiri Kulich | 2022 | 28 | |||
Josh Doan | 2021 | 68 | |||
Julian Lutz | 2022 | 48 | |||
Leo Loof | 2020 | 141 | |||
Linus Oberg | |||||
Marshall Warren | 2019 | 137 | 6.5 - 3.5 | ||
Matthew Steinburg | 2019 | 85 | |||
Nikita Grebenkin | 2022 | 156 | |||
Oliver Kapanen | 2021 | 77 | |||
Patrik Puistola | 2019 | 39 | 7.5 - 7.0 | ||
Peter Reynolds | 2021 | 164 | |||
Ryan Johnson | 2019 | 40 | 7.5 - 7.5 | ||
Topi Ronni | 2022 | 71 | |||
Trevor Wong | 2021 | 167 | |||
Tristan Broz | 2021 | 59 | |||
Victor Stjernborg | 2021 | 99 |
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