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Colorado Avalanche 2-4-0, 4pts |
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 | C/LW/RW | 100.00 | 67 | 35 | 87 | 83 | 76 | 89 | 91 | 85 | 87 | 84 | 86 | 63 | 84 | 86 | 93 | 56 | 78 | 0 | 33 | 8,500,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 63 | 38 | 93 | 84 | 66 | 92 | 94 | 89 | 55 | 92 | 77 | 63 | 91 | 89 | 79 | 58 | 78 | 0 | 34 | 10,500,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 35 | 93 | 84 | 75 | 88 | 92 | 80 | 64 | 79 | 81 | 67 | 84 | 69 | 71 | 83 | 77 | 0 | 26 | 6,962,366$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 95 | 73 | 88 | 91 | 87 | 79 | 93 | 84 | 72 | 81 | 76 | 89 | 93 | 51 | 77 | 0 | 35 | 10,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 35 | 91 | 64 | 75 | 82 | 83 | 66 | 84 | 71 | 63 | 82 | 61 | 84 | 77 | 21 | 78 | 0 | 37 | 850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 39 | 88 | 84 | 70 | 82 | 86 | 72 | 53 | 66 | 65 | 89 | 64 | 66 | 67 | 45 | 77 | 0 | 26 | 1,050,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 90 | 86 | 62 | 72 | 90 | 82 | 95 | 71 | 56 | 74 | 75 | 81 | 59 | 74 | 73 | 69 | 78 | 0 | 29 | 5,166,666$/2yrs | |||
![]() | 0 | LW | 100.00 | 76 | 39 | 87 | 63 | 78 | 84 | 89 | 64 | 61 | 63 | 64 | 77 | 64 | 78 | 76 | 23 | 76 | 0 | 34 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 32 | 86 | 64 | 84 | 77 | 81 | 65 | 84 | 67 | 68 | 89 | 63 | 74 | 73 | 37 | 78 | 0 | 33 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 80 | 78 | 73 | 67 | 81 | 87 | 91 | 65 | 80 | 71 | 64 | 87 | 63 | 72 | 71 | 36 | 75 | 0 | 30 | 1,300,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 36 | 89 | 83 | 82 | 94 | 93 | 87 | 90 | 89 | 92 | 67 | 88 | 72 | 78 | 76 | 78 | 0 | 27 | 8,500,000$/3yrs | |||
![]() | 0 | C | 100.00 | 63 | 36 | 86 | 73 | 82 | 89 | 92 | 72 | 85 | 78 | 75 | 88 | 64 | 71 | 73 | 52 | 78 | 0 | 28 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 73 | 76 | 68 | 90 | 79 | 74 | 30 | 84 | 71 | 66 | 57 | 68 | 70 | 71 | 78 | 0 | 27 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 37 | 83 | 84 | 86 | 95 | 93 | 85 | 30 | 82 | 73 | 95 | 59 | 83 | 73 | 55 | 78 | 0 | 33 | 9,200,000$/5yrs | |||
![]() | 0 | D | 100.00 | 56 | 35 | 90 | 70 | 76 | 92 | 87 | 68 | 30 | 75 | 57 | 82 | 51 | 92 | 80 | 27 | 78 | 0 | 39 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 34 | 93 | 76 | 72 | 89 | 87 | 74 | 30 | 85 | 69 | 64 | 55 | 78 | 72 | 53 | 78 | 0 | 31 | 1,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 34 | 91 | 63 | 72 | 86 | 84 | 59 | 30 | 67 | 58 | 78 | 50 | 73 | 72 | 27 | 78 | 0 | 32 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 78 | 76 | 75 | 87 | 93 | 89 | 73 | 30 | 80 | 64 | 81 | 55 | 66 | 69 | 84 | 51 | 0 | 24 | 6,750,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 67 | 44 | 85 | 74 | 78 | 88 | 89 | 74 | 60 | 77 | 71 | 78 | 66 | 77 | 76 | 51 | 76 | 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 | 88 | 93 | 85 | 77 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 67 | 77 | 58 | 78 | 0 | 27 | 1,700,000$/1yrs |
![]() | 0 | 100.00 | 94 | 84 | 77 | 93 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 91 | 94 | 45 | 78 | 0 | 41 | 2,200,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 91 | 89 | 81 | 85 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 79 | 86 | 52 | 78 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
David Hakstol | 77 | 84 | 85 | 87 | 76 | 61 | 72 | CAN | 53 | 2 | 1,000,000$ |
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 | Anze Kopitar | 0 | C | 6 | 3 | 6 | 9 | -1 | 0 | 0 | 16 | 14 | 6 | 9 | 21.43% | 4 | 20.23 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 5 | 1 | 0 | 56.20% | 137 | 1 | 0 | 0 | 0 | 1.48 | 0 | 0 | ||
2 | Patrick Kane | 0 | RW | 6 | 3 | 4 | 7 | -3 | 0 | 0 | 9 | 30 | 13 | 11 | 10.00% | 0 | 19.69 | 1 | 0 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 1 | 42.86% | 14 | 6 | 4 | 0 | 0 | 1.19 | 0 | 0 | ||
3 | Mikhail Sergachev | 0 | D | 6 | 3 | 2 | 5 | 1 | 4 | 0 | 20 | 10 | 5 | 3 | 30.00% | 5 | 22.84 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.73 | 0 | 0 | ||
4 | Steven Stamkos | 0 | C/LW/RW | 6 | 1 | 3 | 4 | -1 | 0 | 0 | 17 | 13 | 4 | 8 | 7.69% | 3 | 19.53 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 36.36% | 11 | 1 | 2 | 0 | 0 | 0.68 | 0 | 0 | ||
5 | Leon Draisaitl | 0 | C/LW | 6 | 1 | 3 | 4 | -3 | 4 | 0 | 8 | 20 | 3 | 15 | 5.00% | 4 | 19.18 | 0 | 1 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 1 | 59.35% | 123 | 8 | 2 | 0 | 0 | 0.70 | 0 | 0 | ||
6 | William Nylander | 0 | LW/RW | 6 | 1 | 2 | 3 | -4 | 0 | 0 | 5 | 19 | 4 | 12 | 5.26% | 0 | 20.09 | 0 | 1 | 1 | 13 | 0 | 0 | 0 | 1 | 0 | 0 | 40.00% | 5 | 8 | 3 | 0 | 0 | 0.50 | 0 | 0 | ||
7 | Duncan Keith | 0 | D | 6 | 0 | 3 | 3 | -2 | 0 | 0 | 6 | 6 | 1 | 2 | 0.00% | 6 | 18.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.54 | 0 | 0 | ||
8 | Logan O'Connor | 0 | LW/RW | 6 | 1 | 1 | 2 | -2 | 0 | 0 | 4 | 6 | 4 | 6 | 16.67% | 1 | 8.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.77 | 0 | 0 | ||
9 | Tyson Barrie | 0 | D | 6 | 0 | 2 | 2 | -1 | 0 | 0 | 1 | 3 | 1 | 4 | 0.00% | 2 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 3 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
10 | Tom Wilson | 0 | RW | 6 | 1 | 1 | 2 | -3 | 6 | 0 | 21 | 9 | 0 | 8 | 11.11% | 5 | 18.78 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 4 | 4 | 0 | 0 | 0.36 | 0 | 0 | ||
11 | Andrew Copp | 0 | C | 6 | 2 | 0 | 2 | 1 | 0 | 0 | 4 | 9 | 7 | 9 | 22.22% | 1 | 14.75 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 10 | 0 | 0 | 51.92% | 52 | 2 | 3 | 0 | 0 | 0.45 | 0 | 0 | ||
12 | Alex Pietrangelo | 0 | D | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 13 | 16 | 5 | 7 | 0.00% | 9 | 27.68 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 2 | 7 | 0 | 0 | 0.12 | 0 | 0 | ||
13 | Tyler Bozak | 0 | C/RW | 6 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 2 | 0.00% | 2 | 11.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 3 | 0 | 0 | 0.29 | 0 | 0 | ||
14 | Derek Grant | 0 | C | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 2 | 2 | 4 | 0.00% | 2 | 9.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
15 | Barclay Goodrow | 0 | C/LW/RW | 6 | 0 | 1 | 1 | 2 | 19 | 5 | 14 | 5 | 1 | 3 | 0.00% | 0 | 11.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 2 | 2 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
16 | Tony DeAngelo | 0 | D | 6 | 0 | 0 | 0 | -7 | 0 | 0 | 9 | 6 | 3 | 3 | 0.00% | 5 | 22.57 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 3 | 3 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Chad Ruhwedel | 0 | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0 | 0.00% | 1 | 13.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Michael Raffl | 0 | LW | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 2 | 0 | 2 | 0.00% | 0 | 7.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 108 | 16 | 31 | 47 | -25 | 33 | 5 | 177 | 174 | 59 | 108 | 9.20% | 50 | 16.58 | 2 | 3 | 5 | 111 | 0 | 0 | 0 | 75 | 2 | 2 | 54.25% | 365 | 43 | 40 | 0 | 0 | 0.52 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kevin Lankinen | 3 | 1 | 2 | 0 | 0.887 | 3.98 | 181 | 0 | 0 | 12 | 106 | 50 | 0 | 2 | 0.000 | 0 | 3 | 3 | 0 | 0 | 0 | |
2 | Mike Smith | 3 | 1 | 2 | 0 | 0.913 | 2.67 | 180 | 0 | 0 | 8 | 92 | 39 | 1 | 0 | 0.000 | 0 | 3 | 3 | 0 | 1 | 0 | |
Team Total or Average | 6 | 2 | 4 | 0 | 0.899 | 3.32 | 361 | 0 | 0 | 20 | 198 | 89 | 1 | 2 | 0.000 | 0 | 6 | 6 | 0 | 1 | 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 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
_Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
_Since Last GM Reset | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
Total | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 143 |
Neutral Zone Start | 93 |
Defensive Zone Start | 129 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 198 |
Faceoffs Lost | 167 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.2 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 29.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 12 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 2 |
PK Attempt | 10 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 33.3 |
Goals For | 2.7 |
Goals Against | 3.7 |
Hits | 29.5 |
Shots Blocked | 8.3 |
Pim | 5.5 |
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 | 20 |
LTIR Players | 0 |
Avalanche Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Pietrangelo | D | 33 | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | UFA | ||
Andrew Copp | C | 28 | 2,750,000$ | 2,750,000$ | |||||||
Anze Kopitar | C | 35 | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Barclay Goodrow ![]() | C/LW/RW | 30 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | ||
Chad Ruhwedel ![]() | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Derek Grant | C | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Duncan Keith | D | 39 | 750,000$ | 750,000$ | UFA | ||||||
Kevin Lankinen ![]() | G | 27 | 1,700,000$ | 1,700,000$ | |||||||
Leon Draisaitl | C/LW | 27 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | |||||
Logan O'Connor ![]() | LW/RW | 26 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
Michael Raffl ![]() | LW | 34 | 750,000$ | 750,000$ | UFA | ||||||
Mike Smith | G | 41 | 2,200,000$ | 2,200,000$ | UFA | ||||||
Mikhail Sergachev ![]() | D | 24 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | ||||
Patrick Kane | RW | 34 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Steven Stamkos | C/LW/RW | 33 | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||||
Tom Wilson | RW | 29 | 5,166,666$ | 5,166,666$ | 5,166,666$ | UFA | |||||
Tony DeAngelo | D | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||||||
Tyler Bozak | C/RW | 37 | 850,000$ | 850,000$ | UFA | ||||||
Tyson Barrie | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
William Nylander | LW/RW | 26 | 6,962,366$ | 6,962,366$ | 6,962,366$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Chiasson ![]() | RW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Antoine Roussel ![]() | LW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Anton Khudobin ![]() | G | 36 | 750,000$ | 750,000$ | UFA | ||||||
Calvin de Haan ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Gabriel Bourque ![]() | LW | 32 | 750,000$ | 750,000$ | UFA | ||||||
Joel Hofer ![]() | G | 22 | 795,000$ | 795,000$ | RFA | ||||||
Tim Schaller ![]() | LW | 32 | 750,000$ | 750,000$ | UFA |
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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 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
_Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
_Since Last GM Reset | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN | |
Total | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 22 | -6 | 4 | 0.333 | 16 | 31 | 47 | 2 | 0 | 2 | 7 | 6 | 1 | 174 | 49 | 57 | 65 | 3 | 200 | 50 | 33 | 177 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 83 | 143 | 58.04% | 66 | 129 | 51.16% | 49 | 93 | 52.69% | 134 | 81 | 126 | 50 | 101 | 50 | 42.4% | 9.2% | 89.0% | 98.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 143 |
Neutral Zone Start | 93 |
Defensive Zone Start | 129 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 198 |
Faceoffs Lost | 167 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.2 | 9.57 |
2nd Period | 17.7 | 20.31 |
3rd Period | 28.5 | 30.68 |
Overtime | 29.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 12 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 12 |
---|---|
PP Goal | 2 |
PK Attempt | 10 |
PK Goal Against | 3 |
Home | |
---|---|
Shots For | 29.0 |
Shots Against | 33.3 |
Goals For | 2.7 |
Goals Against | 3.7 |
Hits | 29.5 |
Shots Blocked | 8.3 |
Pim | 5.5 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-04-08 | VS | SEA3,COL4 (OT) | RECAP | ||
2023-04-10 | VS | SEA5,COL3 | RECAP | ||
2023-04-12 | VS | COL4,SEA6 | RECAP | ||
2023-04-14 | VS | COL2,SEA1 | RECAP | ||
2023-04-16 | VS | SEA4,COL2 | RECAP | ||
2023-04-18 | VS | COL1,SEA3 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,879,032$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 16257 | 14538 | 6000 | 11098 | 3000 |
Attendance PCT | 90.21% | 96.92% | 100.00% | 92.48% | 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 | 16964 - 94.21% | 2,121,177$ | 6,363,531$ | 18007 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,879,032$ | 84,879,032$ | 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$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 49,646,486$ | 49,646,486$ |
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 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
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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