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Colorado Avalanche 3-4-0, 6pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 69 | 35 | 91 | 77 | 78 | 84 | 80 | 70 | 59 | 67 | 71 | 76 | 69 | 64 | 66 | 72 | 79 | 0 | 22 | 888,333$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 39 | 87 | 84 | 76 | 88 | 79 | 83 | 89 | 82 | 86 | 68 | 87 | 79 | 88 | 71 | 79 | 0 | 32 | 8,500,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 54 | 36 | 89 | 86 | 68 | 92 | 90 | 88 | 56 | 91 | 82 | 63 | 90 | 83 | 81 | 58 | 79 | 0 | 33 | 10,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 57 | 35 | 91 | 75 | 73 | 88 | 90 | 72 | 62 | 73 | 75 | 88 | 74 | 73 | 68 | 42 | 80 | 0 | 28 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 35 | 94 | 68 | 72 | 74 | 88 | 66 | 78 | 67 | 63 | 81 | 62 | 80 | 72 | 37 | 80 | 0 | 33 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 35 | 94 | 72 | 88 | 89 | 90 | 78 | 94 | 84 | 74 | 79 | 81 | 83 | 92 | 45 | 79 | 0 | 34 | 10,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 39 | 85 | 82 | 78 | 87 | 92 | 86 | 55 | 76 | 86 | 76 | 85 | 73 | 82 | 72 | 60 | 0 | 27 | 6,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 35 | 92 | 65 | 76 | 74 | 85 | 64 | 72 | 63 | 62 | 79 | 61 | 77 | 69 | 51 | 79 | 0 | 30 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 77 | 43 | 83 | 64 | 84 | 81 | 89 | 65 | 85 | 67 | 68 | 86 | 63 | 79 | 74 | 53 | 79 | 0 | 32 | 1,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 35 | 93 | 75 | 79 | 89 | 87 | 74 | 69 | 76 | 80 | 64 | 78 | 71 | 75 | 86 | 65 | 0 | 26 | 6,500,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 85 | 37 | 82 | 66 | 78 | 87 | 81 | 65 | 93 | 64 | 66 | 87 | 64 | 79 | 73 | 38 | 79 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 37 | 92 | 85 | 82 | 89 | 91 | 88 | 93 | 94 | 90 | 66 | 89 | 71 | 80 | 85 | 74 | 0 | 26 | 8,500,000$/4yrs | |||
![]() | 0 | D | 100.00 | 66 | 36 | 89 | 75 | 67 | 91 | 82 | 76 | 30 | 83 | 72 | 85 | 59 | 78 | 77 | 68 | 79 | 0 | 31 | 6,250,000$/6yrs | |||
![]() | 0 | D | 100.00 | 62 | 46 | 78 | 76 | 68 | 88 | 80 | 75 | 30 | 84 | 76 | 61 | 64 | 72 | 68 | 79 | 79 | 0 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 37 | 90 | 74 | 85 | 91 | 88 | 73 | 30 | 82 | 76 | 86 | 55 | 79 | 77 | 69 | 75 | 0 | 32 | 9,200,000$/6yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 87 | 71 | 89 | 90 | 86 | 72 | 30 | 78 | 69 | 87 | 56 | 79 | 78 | 48 | 79 | 0 | 31 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 99 | 46 | 81 | 63 | 92 | 83 | 81 | 62 | 30 | 61 | 59 | 78 | 50 | 77 | 67 | 55 | 79 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 43 | 82 | 64 | 83 | 85 | 79 | 67 | 30 | 73 | 57 | 77 | 52 | 79 | 71 | 34 | 79 | 0 | 31 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 78 | 35 | 92 | 74 | 62 | 81 | 88 | 73 | 66 | 71 | 68 | 58 | 69 | 80 | 74 | 49 | 74 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 85 | 62 | 85 | 80 | 88 | 82 | 76 | 82 | 71 | 77 | 71 | 62 | 64 | 71 | 67 | 45 | 25 | 0 | 26 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 39 | 86 | 65 | 74 | 80 | 78 | 63 | 77 | 65 | 62 | 80 | 64 | 77 | 68 | 35 | 73 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 35 | 93 | 66 | 75 | 85 | 82 | 63 | 30 | 70 | 58 | 74 | 52 | 73 | 68 | 36 | 78 | 0 | 29 | 750,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 39 | 88 | 73 | 78 | 85 | 85 | 73 | 60 | 75 | 71 | 76 | 68 | 76 | 74 | 56 | 74 | 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 | 80 | 81 | 85 | 82 | 83 | 87 | 85 | 86 | 84 | 77 | 75 | 60 | 65 | 81 | 79 | 0 | 28 | 750,000$/1yrs |
![]() | 0 | 100.00 | 93 | 95 | 83 | 72 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 75 | 81 | 53 | 79 | 0 | 28 | 6,000,000$/6yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 87 | 81 | 79 | 73 | 86 | 85 | 87 | 86 | 85 | 87 | 86 | 80 | 86 | 53 | 74 | 0 | 33 | 750,000$/1yrs |
TEAM AVERAGE | 100.00 | 87 | 86 | 82 | 76 | 87 | 88 | 88 | 88 | 87 | 86 | 84 | 72 | 77 | 62 | 77 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 86 | 92 | 83 | 93 | 87 | 81 | 59 | CAN | 58 | 2 | 6,000,000$ |
General Manager | Tristan Ouellette |
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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 | Patrick Kane | 0 | RW | 7 | 7 | 5 | 12 | 6 | 0 | 0 | 6 | 30 | 8 | 17 | 23.33% | 1 | 19.62 | 1 | 0 | 1 | 15 | 0 | 0 | 0 | 0 | 1 | 0 | 16.67% | 6 | 11 | 0 | 0 | 1 | 1.75 | 0 | 0 | ||
2 | Leon Draisaitl | 0 | C/LW/RW | 7 | 5 | 7 | 12 | 5 | 0 | 0 | 6 | 23 | 7 | 12 | 21.74% | 3 | 19.53 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 51.88% | 160 | 3 | 6 | 0 | 0 | 1.76 | 0 | 0 | ||
3 | Alex Pietrangelo | 0 | D | 7 | 1 | 4 | 5 | 0 | 0 | 0 | 11 | 15 | 5 | 2 | 6.67% | 10 | 24.85 | 1 | 0 | 1 | 17 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.57 | 0 | 0 | ||
4 | Filip Forsberg | 0 | LW/RW | 7 | 3 | 1 | 4 | 6 | 4 | 0 | 15 | 7 | 3 | 9 | 42.86% | 3 | 18.71 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 3 | 2 | 0 | 0 | 0.61 | 0 | 0 | ||
5 | Tony DeAngelo | 0 | D | 7 | 0 | 3 | 3 | 0 | 4 | 0 | 13 | 12 | 6 | 3 | 0.00% | 10 | 24.24 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 7 | 0 | 0 | 0.35 | 0 | 0 | ||
6 | Connor Brown | 0 | RW | 7 | 2 | 1 | 3 | -3 | 0 | 0 | 4 | 18 | 11 | 17 | 11.11% | 2 | 12.80 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 2 | 4 | 1 | 0 | 0 | 0.67 | 0 | 0 | ||
7 | Ryan Ellis | 0 | D | 7 | 0 | 2 | 2 | -2 | 4 | 0 | 11 | 12 | 7 | 5 | 0.00% | 8 | 23.26 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 5 | 8 | 0 | 0 | 0.25 | 0 | 0 | ||
8 | Alex Formenton | 0 | LW | 7 | 1 | 0 | 1 | -2 | 0 | 0 | 6 | 15 | 8 | 9 | 6.67% | 1 | 12.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 4 | 2 | 3 | 0 | 0 | 0.22 | 0 | 0 | ||
9 | Steven Stamkos | 0 | C/LW/RW | 7 | 0 | 1 | 1 | -5 | 0 | 0 | 19 | 31 | 7 | 17 | 0.00% | 4 | 19.76 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 54.55% | 11 | 10 | 1 | 0 | 0 | 0.14 | 0 | 0 | ||
10 | Colton Sceviour | 0 | C/LW/RW | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 8 | 4 | 3 | 5 | 0.00% | 0 | 8.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 2 | 0 | 3 | 0 | 0 | 0.32 | 0 | 0 | ||
11 | Anze Kopitar | 0 | C | 7 | 0 | 1 | 1 | -4 | 0 | 0 | 10 | 24 | 2 | 7 | 0.00% | 6 | 19.34 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 1 | 0 | 0 | 57.32% | 157 | 3 | 3 | 0 | 0 | 0.15 | 0 | 0 | ||
12 | Mattias Ekholm | 0 | D | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 10 | 8 | 4 | 5 | 0.00% | 12 | 23.64 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 3 | 8 | 0 | 0 | 0.12 | 0 | 0 | ||
13 | Derek Grant | 0 | C/LW | 7 | 0 | 1 | 1 | -3 | 0 | 0 | 10 | 7 | 1 | 4 | 0.00% | 0 | 12.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 66.67% | 42 | 2 | 1 | 0 | 0 | 0.23 | 0 | 0 | ||
14 | Sam Reinhart | 0 | C/RW | 7 | 0 | 1 | 1 | -4 | 0 | 0 | 7 | 9 | 4 | 4 | 0.00% | 3 | 18.97 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 2 | 2 | 0 | 0 | 0.15 | 0 | 0 | ||
15 | Nic Dowd | 0 | C/RW | 7 | 0 | 1 | 1 | -2 | 0 | 0 | 9 | 4 | 3 | 6 | 0.00% | 1 | 9.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 30.00% | 30 | 1 | 5 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Jacob MacDonald | 0 | D | 2 | 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 | ||
17 | Tyler Ennis | 0 | C/LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 4 | 0.00% | 1 | 8.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Joakim Nordstrom | 0 | C/LW/RW | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 4 | 1 | 8 | 0.00% | 1 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Jani Hakanpaa | 0 | D | 7 | 0 | 0 | 0 | -3 | 0 | 0 | 15 | 3 | 2 | 2 | 0.00% | 5 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Ryan Carpenter | 0 | C/RW | 2 | 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 | ||
21 | Jan Rutta | 0 | D | 7 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 1 | 1 | 2 | 0.00% | 7 | 12.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 3 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 130 | 19 | 30 | 49 | -20 | 12 | 0 | 168 | 229 | 83 | 138 | 8.30% | 78 | 16.23 | 3 | 5 | 8 | 146 | 0 | 0 | 0 | 33 | 3 | 0 | 52.34% | 428 | 59 | 66 | 0 | 1 | 0.46 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jordan Binnington | 7 | 3 | 3 | 1 | 0.904 | 3.22 | 410 | 0 | 0 | 22 | 228 | 103 | 1 | 0 | 0.000 | 0 | 7 | 0 | 0 | 2 | 0 | |
2 | Charlie Lindgren | 1 | 0 | 0 | 0 | 0.900 | 5.00 | 12 | 0 | 0 | 1 | 10 | 2 | 0 | 0 | 0.000 | 0 | 0 | 5 | 0 | 0 | 0 | |
Team Total or Average | 8 | 3 | 3 | 1 | 0.903 | 3.27 | 422 | 0 | 0 | 23 | 238 | 105 | 1 | 0 | 0.000 | 0 | 7 | 5 | 0 | 2 | 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 |
# | 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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 177 |
Neutral Zone Start | 92 |
Defensive Zone Start | 159 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 224 |
Faceoffs Lost | 204 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 16 |
---|---|
PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 0 |
Lost | 0 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 17 |
---|---|
PP Goal | 3 |
PK Attempt | 6 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 34.0 |
Goals For | 2.7 |
Goals Against | 3.3 |
Hits | 24.0 |
Shots Blocked | 11.1 |
Pim | 1.7 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Avalanche Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton ![]() | LW | 22 | 888,333$ | 888,333$ | RFA | ||||||
Alex Pietrangelo | D | 32 | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | UFA | |
Antti Raanta | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Anze Kopitar | C | 34 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||||
Charlie Lindgren ![]() | G | 28 | 750,000$ | 750,000$ | |||||||
Colton Sceviour ![]() | C/LW/RW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Connor Brown | RW | 28 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Derek Grant | C/LW | 32 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Filip Forsberg | LW/RW | 27 | 6,000,000$ | 6,000,000$ | |||||||
Jacob MacDonald ![]() | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
Jan Rutta ![]() | D | 31 | 800,000$ | 800,000$ | UFA | ||||||
Jani Hakanpaa ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Joakim Nordstrom ![]() | C/LW/RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Jordan Binnington | G | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |
Leon Draisaitl | C/LW/RW | 26 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Mason Marchment ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | |||||||
Mattias Ekholm | D | 31 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Nic Dowd ![]() | C/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Patrick Kane | RW | 33 | 10,500,000$ | 6,900,000$ | 10,500,000$ | UFA | |||||
Ryan Carpenter ![]() | C/RW | 31 | 750,000$ | 750,000$ | UFA | ||||||
Ryan Ellis | D | 31 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |
Sam Reinhart | C/RW | 26 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | |||||
Steven Stamkos | C/LW/RW | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | ||||
Tony DeAngelo | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
Tyler Ennis ![]() | C/LW/RW | 32 | 750,000$ | 750,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 |
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Adam Boqvist ![]() | D | 21 | 900,000$ | 900,000$ | RFA | ||||||
Ben Hutton ![]() | D | 29 | 750,000$ | 750,000$ | UFA | ||||||
Buddy Robinson ![]() | LW/RW | 30 | 750,000$ | 750,000$ | UFA | ||||||
David Backes ![]() | C/RW | 38 | 750,000$ | 750,000$ | UFA | ||||||
Greg McKegg ![]() | C/LW/RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Joel Hanley ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Joel Hofer ![]() | G | 21 | 795,000$ | 795,000$ | 795,000$ | RFA | |||||
Madison Bowey ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Mark Alt ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Matt Benning ![]() | D | 27 | 750,000$ | 750,000$ | |||||||
Matt Tennyson ![]() | D | 32 | 750,000$ | 750,000$ | UFA |
Forward Lines | |||||||
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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 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky | |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 23 | -4 | 6 | 0.429 | 19 | 30 | 49 | 0 | 0 | 4 | 9 | 5 | 1 | 229 | 75 | 88 | 64 | 2 | 238 | 78 | 12 | 168 | 17 | 3 | 17.65% | 6 | 3 | 50.00% | 0 | 94 | 177 | 53.11% | 86 | 159 | 54.09% | 44 | 92 | 47.83% | 160 | 98 | 145 | 58 | 117 | 59 | 44.4% | 8.3% | 90.3% | 98.6 | Unlucky |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
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Offensive Zone Start | 177 |
Neutral Zone Start | 92 |
Defensive Zone Start | 159 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 224 |
Faceoffs Lost | 204 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.7 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 32.4 | 30.68 |
Overtime | 32.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 16 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 0 |
Lost | 0 | 4 |
Overtime Lost | 0 | 0 |
PP Attempt | 17 |
---|---|
PP Goal | 3 |
PK Attempt | 6 |
PK Goal Against | 3 |
Home | |
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Shots For | 32.7 |
Shots Against | 34.0 |
Goals For | 2.7 |
Goals Against | 3.3 |
Hits | 24.0 |
Shots Blocked | 11.1 |
Pim | 1.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2022-04-27 | VS | COL0,CHI1 | RECAP | ||
2022-04-29 | VS | COL1,CHI4 | RECAP | ||
2022-05-01 | VS | CHI3,COL5 | RECAP | ||
2022-05-03 | VS | CHI2,COL3 (OT) | RECAP | ||
2022-05-05 | VS | COL2,CHI6 | RECAP | ||
2022-05-07 | VS | CHI4,COL6 | RECAP | ||
2022-05-09 | VS | COL2,CHI3 (OT) | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
85,338,333$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Pepsi Center | |
City | Colorado | ||
Capacity | 18007 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6007 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 17081 | 13863 | 6000 | 10609 | 3000 |
Attendance PCT | 94.78% | 92.42% | 100.00% | 88.41% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
38 | 16851 - 93.58% | 2,125,781$ | 6,377,344$ | 18007 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
85,338,333$ | 88,938,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 9 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 41,966,280$ | 41,966,280$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Brandt Clarke | 2021 | 9 | |||
Thomas Bordeleau |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2022 | |||||
2023 | |||||
2024 | |||||
2025 | |||||
2026 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Brandt Clarke | 2021 | 9 | |||
Thomas Bordeleau |
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