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Colorado Avalanche 11-3-1, 23pts · 1st in Western Conference |
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 | 100.00 | 70 | 50 | 80 | 75 | 77 | 85 | 90 | 80 | 71 | 75 | 74 | 76 | 76 | 95 | 85 | 1 | 86 | 0 | 39 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 45 | 90 | 75 | 70 | 88 | 94 | 89 | 40 | 81 | 79 | 60 | 81 | 91 | 81 | 1 | 86 | 0 | 35 | 2,750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 83 | 45 | 88 | 75 | 78 | 84 | 95 | 80 | 67 | 71 | 69 | 75 | 75 | 90 | 80 | 1 | 86 | 0 | 36 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 81 | 55 | 82 | 74 | 83 | 84 | 85 | 74 | 50 | 70 | 68 | 74 | 72 | 78 | 68 | 1 | 86 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 66 | 50 | 78 | 87 | 80 | 88 | 88 | 95 | 50 | 85 | 92 | 72 | 91 | 80 | 70 | 1 | 89 | 0 | 27 | 6,962,366$/1yrs | |||
![]() | 0 | C | 99.00 | 72 | 40 | 95 | 80 | 85 | 91 | 93 | 90 | 85 | 85 | 84 | 85 | 85 | 92 | 94 | 1 | 86 | 0 | 36 | 10,000,000$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 57 | 62 | 50 | 77 | 74 | 70 | 69 | 77 | 66 | 80 | 84 | 84 | 66 | 86 | 83 | 1 | 91 | 0 | 31 | 7,000,000$/6yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 50 | 75 | 75 | 76 | 87 | 92 | 75 | 73 | 69 | 70 | 78 | 73 | 89 | 79 | 1 | 86 | 0 | 35 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 55 | 74 | 88 | 74 | 85 | 85 | 78 | 50 | 76 | 69 | 82 | 78 | 70 | 60 | 1 | 87 | 0 | 27 | 1,050,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 80 | 50 | 75 | 75 | 85 | 88 | 91 | 83 | 72 | 72 | 76 | 79 | 78 | 86 | 76 | 1 | 86 | 0 | 31 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 79 | 78 | 69 | 75 | 82 | 84 | 89 | 80 | 70 | 77 | 71 | 78 | 75 | 83 | 79 | 1 | 89 | 0 | 30 | 1,300,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 45 | 82 | 88 | 83 | 90 | 89 | 95 | 83 | 96 | 95 | 74 | 93 | 83 | 79 | 1 | 81 | 0 | 28 | 8,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 75 | 66 | 70 | 89 | 85 | 86 | 70 | 40 | 66 | 63 | 75 | 68 | 86 | 76 | 1 | 86 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 61 | 66 | 85 | 73 | 90 | 87 | 87 | 40 | 80 | 76 | 74 | 83 | 78 | 68 | 1 | 88 | 0 | 28 | 5,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 45 | 84 | 75 | 82 | 89 | 93 | 77 | 40 | 76 | 63 | 94 | 72 | 88 | 78 | 1 | 86 | 0 | 34 | 6,750,000$/3yrs | |||
![]() | 0 | D | 99.00 | 72 | 45 | 90 | 86 | 84 | 92 | 95 | 89 | 40 | 84 | 76 | 96 | 84 | 90 | 86 | 1 | 86 | 0 | 33 | 9,200,000$/4yrs | |||
![]() | 42 | D | 100.00 | 77 | 66 | 65 | 73 | 79 | 84 | 90 | 71 | 40 | 65 | 60 | 78 | 68 | 87 | 77 | 1 | 86 | 0 | 34 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 70 | 89 | 86 | 92 | 87 | 90 | 40 | 88 | 75 | 95 | 85 | 78 | 68 | 1 | 85 | 0 | 25 | 6,750,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 67 | 45 | 90 | 74 | 73 | 82 | 93 | 75 | 89 | 73 | 69 | 71 | 73 | 92 | 82 | 1 | 69 | 0 | 37 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 76 | 66 | 73 | 81 | 84 | 86 | 69 | 40 | 64 | 60 | 75 | 67 | 86 | 76 | 1 | 65 | 0 | 30 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.85 | 72 | 55 | 77 | 78 | 80 | 86 | 89 | 81 | 57 | 77 | 74 | 79 | 77 | 85 | 77 | 1 | 85 | 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 | 74 | 88 | 88 | 83 | 86 | 83 | 78 | 82 | 82 | 83 | 83 | 85 | 78 | 1 | 84 | 0 | 36 | 1,000,000$/1yrs |
![]() | 0 | 100.00 | 84 | 83 | 83 | 90 | 87 | 85 | 82 | 84 | 83 | 85 | 79 | 75 | 68 | 1 | 86 | 0 | 27 | 5,050,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 79 | 86 | 86 | 87 | 87 | 84 | 80 | 83 | 83 | 84 | 81 | 80 | 73 | 1 | 85 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 87 | 95 | 95 | 79 | 79 | 90 | 1 | CAN | 53 | 3 | 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 | Leon Draisaitl | 0 | C/LW | 14 | 10 | 9 | 19 | 3 | 2 | 0 | 17 | 59 | 14 | 28 | 16.95% | 8 | 19.80 | 1 | 5 | 6 | 41 | 0 | 0 | 0 | 0 | 1 | 0 | 57.93% | 309 | 15 | 6 | 0 | 0 | 1.37 | 0 | 1 | ||
2 | William Nylander | 0 | LW/RW | 15 | 5 | 13 | 18 | 5 | 21 | 5 | 27 | 40 | 31 | 43 | 12.50% | 5 | 19.83 | 2 | 3 | 5 | 42 | 0 | 0 | 0 | 0 | 2 | 0 | 23.08% | 13 | 14 | 4 | 0 | 0 | 1.21 | 0 | 2 | ||
3 | Anze Kopitar | 0 | C | 15 | 6 | 11 | 17 | 0 | 0 | 0 | 11 | 50 | 20 | 23 | 12.00% | 8 | 20.83 | 1 | 4 | 5 | 43 | 0 | 0 | 0 | 22 | 1 | 0 | 59.23% | 336 | 7 | 5 | 0 | 0 | 1.09 | 1 | 2 | ||
4 | Patrick Kane | 0 | RW | 15 | 7 | 2 | 9 | -1 | 0 | 0 | 21 | 44 | 9 | 16 | 15.91% | 3 | 17.62 | 1 | 0 | 1 | 29 | 0 | 0 | 0 | 0 | 1 | 0 | 14.29% | 14 | 5 | 3 | 0 | 0 | 0.68 | 2 | 2 | ||
5 | Trevor Lewis | 0 | C/RW | 15 | 1 | 8 | 9 | 4 | 0 | 0 | 11 | 18 | 2 | 12 | 5.56% | 5 | 8.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 5 | 3 | 0 | 0 | 1.35 | 0 | 0 | ||
6 | Tony DeAngelo | 0 | D | 15 | 3 | 5 | 8 | 1 | 9 | 5 | 16 | 28 | 8 | 9 | 10.71% | 11 | 21.01 | 1 | 0 | 1 | 25 | 0 | 0 | 0 | 1 | 0 | 2 | 0.00% | 0 | 10 | 2 | 0 | 0 | 0.51 | 0 | 0 | ||
7 | Alex Pietrangelo | 0 | D | 15 | 2 | 5 | 7 | 2 | 0 | 0 | 20 | 28 | 11 | 18 | 7.14% | 14 | 26.38 | 1 | 0 | 1 | 47 | 0 | 0 | 0 | 25 | 2 | 0 | 0.00% | 0 | 10 | 14 | 0 | 0 | 0.35 | 0 | 0 | ||
8 | Eric Staal | 0 | C | 15 | 2 | 4 | 6 | 0 | 0 | 0 | 13 | 25 | 6 | 15 | 8.00% | 2 | 13.64 | 0 | 1 | 1 | 28 | 0 | 0 | 0 | 1 | 0 | 0 | 43.68% | 87 | 3 | 3 | 0 | 0 | 0.59 | 0 | 0 | ||
9 | Adam Erne | 0 | LW/RW | 15 | 3 | 3 | 6 | 4 | 0 | 0 | 18 | 15 | 4 | 14 | 20.00% | 3 | 8.93 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 0 | 0.00% | 1 | 2 | 2 | 0 | 0 | 0.90 | 0 | 0 | ||
10 | Gabriel Landeskog | 0 | C/LW | 15 | 3 | 3 | 6 | 2 | 14 | 10 | 17 | 27 | 11 | 15 | 11.11% | 4 | 14.59 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 41.67% | 12 | 7 | 6 | 0 | 0 | 0.55 | 0 | 0 | ||
11 | Nick Bonino | 0 | C/LW | 15 | 2 | 3 | 5 | 4 | 2 | 0 | 5 | 13 | 2 | 10 | 15.38% | 3 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 44.44% | 36 | 1 | 2 | 0 | 0 | 0.74 | 0 | 0 | ||
12 | Logan O'Connor | 0 | LW/RW | 15 | 2 | 3 | 5 | 1 | 0 | 0 | 17 | 40 | 13 | 17 | 5.00% | 4 | 12.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 60.00% | 5 | 11 | 2 | 0 | 0 | 0.53 | 0 | 0 | ||
13 | Nick Bjugstad | 0 | C/RW | 15 | 2 | 3 | 5 | -1 | 0 | 0 | 19 | 25 | 6 | 15 | 8.00% | 5 | 12.72 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 1 | 0 | 68.75% | 16 | 7 | 2 | 0 | 0 | 0.52 | 0 | 0 | ||
14 | Mikhail Sergachev | 0 | D | 15 | 2 | 3 | 5 | 3 | 42 | 20 | 28 | 36 | 11 | 13 | 5.56% | 19 | 25.11 | 1 | 0 | 1 | 47 | 0 | 0 | 0 | 18 | 0 | 1 | 0.00% | 0 | 13 | 13 | 0 | 0 | 0.27 | 1 | 1 | ||
15 | Ryan McDonagh | 0 | D | 15 | 1 | 2 | 3 | 0 | 7 | 5 | 15 | 19 | 4 | 7 | 5.26% | 13 | 22.66 | 0 | 0 | 0 | 25 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.18 | 0 | 0 | ||
16 | Barclay Goodrow | 0 | C/LW | 15 | 1 | 2 | 3 | 10 | 16 | 10 | 38 | 15 | 9 | 4 | 6.67% | 5 | 16.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 1 | 72.73% | 11 | 4 | 7 | 0 | 0 | 0.24 | 0 | 0 | ||
17 | Jarred Tinordi | 0 | D | 15 | 0 | 2 | 2 | 7 | 6 | 0 | 21 | 4 | 2 | 3 | 0.00% | 12 | 13.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.20 | 0 | 0 | ||
18 | Brendan Smith | 42 | D | 15 | 0 | 2 | 2 | 5 | 4 | 0 | 20 | 6 | 1 | 2 | 0.00% | 10 | 12.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.21 | 0 | 0 | ||
19 | Paul Stastny | 0 | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 2 | 14.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 270 | 52 | 83 | 135 | 49 | 123 | 55 | 334 | 493 | 164 | 265 | 10.55% | 136 | 16.42 | 8 | 14 | 22 | 345 | 0 | 0 | 0 | 167 | 9 | 4 | 55.15% | 845 | 117 | 98 | 0 | 0 | 0.61 | 4 | 8 |
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 | Cam Talbot | 8 | 6 | 1 | 1 | 0.912 | 2.61 | 459 | 0 | 0 | 20 | 226 | 112 | 1 | 0 | 0.857 | 7 | 8 | 6 | 1 | 1 | 0 | |
2 | Adin Hill | 7 | 4 | 2 | 1 | 0.909 | 2.55 | 423 | 0 | 0 | 18 | 198 | 85 | 0 | 1 | 0.000 | 0 | 7 | 8 | 1 | 0 | 0 | |
Team Total or Average | 15 | 10 | 3 | 2 | 0.910 | 2.59 | 882 | 0 | 0 | 38 | 424 | 197 | 1 | 1 | 0.857 | 7 | 15 | 14 | 2 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 29 | 7 | 6 | 16 | 0 | 26 | 7 | 9 | 33 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 21 | 12 | 21 | 9 | 16 | 8 | 66.7% | 17.2% | 92.3% | 109.5 | LUCKY | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 1 | 6 | 2 | 0 | 87 | 39 | 25 | 23 | 0 | 83 | 25 | 37 | 69 | 10 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 66 | 41 | 61 | 26 | 51 | 25 | 52.9% | 10.3% | 89.2% | 99.5 | FUN | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 21 | 32 | 0 | 0 | 1 | 5 | 5 | 0 | 93 | 24 | 33 | 36 | 0 | 77 | 25 | 24 | 80 | 13 | 3 | 23.08% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 69 | 42 | 59 | 26 | 51 | 26 | 57.1% | 11.8% | 92.2% | 104.0 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 1 | 3 | 2 | 0 | 83 | 15 | 27 | 41 | 0 | 64 | 15 | 13 | 31 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 46 | 31 | 42 | 16 | 31 | 15 | 40.0% | 7.2% | 90.6% | 97.9 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 34 | 5 | 17 | 12 | 0 | 29 | 9 | 0 | 31 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 13 | 19 | 8 | 17 | 9 | 80.0% | 11.8% | 96.6% | 108.3 | LUCKY | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 5 | 0 | 3 | 0 | 70 | 23 | 16 | 30 | 1 | 53 | 26 | 18 | 49 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 46 | 28 | 45 | 16 | 33 | 16 | 58.3% | 11.4% | 90.6% | 102.0 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 7 | 16 | 15 | 0 | 30 | 8 | 4 | 18 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 14 | 20 | 9 | 15 | 7 | 66.7% | 5.3% | 96.7% | 101.9 | DULL | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 2 | 30 | 10 | 9 | 11 | 3 | 33 | 12 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 15 | 23 | 9 | 18 | 8 | 66.7% | 6.7% | 97.0% | 103.6 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 1 | 2 | 33 | 16 | 9 | 6 | 7 | 29 | 6 | 2 | 18 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 25 | 16 | 21 | 8 | 17 | 8 | 50.0% | 15.2% | 86.2% | 101.4 | FUN | |
_Vs Division | 10 | 7 | 1 | 0 | 0 | 1 | 1 | 0 | 34 | 21 | 13 | 17 | 0.850 | 34 | 61 | 95 | 1 | 0 | 7 | 12 | 14 | 2 | 343 | 86 | 107 | 149 | 4 | 283 | 93 | 72 | 232 | 33 | 7 | 21.21% | 16 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 231 | 144 | 211 | 86 | 166 | 84 | 56.3% | 9.9% | 92.6% | 102.5 | LUCKY | |
_Vs Conference | 12 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 43 | 26 | 17 | 21 | 0.875 | 43 | 74 | 117 | 1 | 0 | 9 | 13 | 19 | 4 | 410 | 107 | 133 | 167 | 11 | 341 | 108 | 74 | 281 | 36 | 8 | 22.22% | 17 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 280 | 175 | 252 | 103 | 201 | 102 | 57.4% | 10.5% | 92.4% | 102.9 | LUCKY | |
_Since Last GM Reset | 15 | 9 | 3 | 0 | 0 | 1 | 2 | 0 | 52 | 35 | 17 | 23 | 0.767 | 52 | 88 | 140 | 1 | 0 | 10 | 19 | 21 | 4 | 497 | 146 | 158 | 190 | 11 | 424 | 133 | 111 | 350 | 46 | 8 | 17.39% | 23 | 1 | 95.65% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 347 | 216 | 314 | 129 | 253 | 127 | 56.4% | 10.5% | 91.7% | 102.2 | LUCKY | |
Total | 15 | 9 | 3 | 0 | 0 | 1 | 2 | 0 | 52 | 35 | 17 | 23 | 0.767 | 52 | 88 | 140 | 1 | 0 | 10 | 19 | 21 | 4 | 497 | 146 | 158 | 190 | 11 | 424 | 133 | 111 | 350 | 46 | 8 | 17.39% | 23 | 1 | 95.65% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 347 | 216 | 314 | 129 | 253 | 127 | 56.4% | 10.5% | 91.7% | 102.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 353 |
Neutral Zone Start | 210 |
Defensive Zone Start | 289 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 474 |
Faceoffs Lost | 378 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 6 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 8 |
PK Attempt | 23 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 28.3 |
Goals For | 3.5 |
Goals Against | 2.3 |
Hits | 23.3 |
Shots Blocked | 8.9 |
Pim | 7.4 |
Projected Total Cap Hit | 79,812,366$ |
Projected Cap Space | 5,187,634$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 15,782,649$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Avalanche Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne ![]() | LW/RW | 28 | 750,000$ | 750,000$ | |||||||
Adin Hill ![]() | G | 27 | 5,050,000$ | 5,050,000$ | 5,050,000$ | ||||||
Alex Pietrangelo | D | 33 | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | 9,200,000$ | UFA | |||
Anze Kopitar | C | 36 | 10,000,000$ | 10,000,000$ | UFA | ||||||
Barclay Goodrow ![]() | C/LW | 30 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||
Brendan Smith ![]() | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
Cam Talbot ![]() | G | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Eric Staal | C | 39 | 750,000$ | 750,000$ | UFA | ||||||
Gabriel Landeskog | C/LW | 31 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |
Jarred Tinordi ![]() | D | 31 | 750,000$ | 750,000$ | UFA | ||||||
Leon Draisaitl | C/LW | 28 | 8,500,000$ | 8,500,000$ | 8,500,000$ | ||||||
Logan O'Connor ![]() | LW/RW | 27 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||||
Mikhail Sergachev ![]() | D | 25 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | |||||
Nathan Beaulieu ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Nick Bjugstad ![]() | C/RW | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Nick Bonino | C/LW | 35 | 750,000$ | 750,000$ | UFA | ||||||
Patrick Kane | RW | 35 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Paul Stastny | C/LW | 37 | 750,000$ | 750,000$ | UFA | ||||||
Ryan McDonagh | D | 34 | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA | ||||
Tony DeAngelo | D | 28 | 5,000,000$ | 5,000,000$ | |||||||
Trevor Lewis ![]() | C/RW | 36 | 750,000$ | 750,000$ | UFA | ||||||
William Nylander | LW/RW | 27 | 6,962,366$ | 6,962,366$ |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Gambrell ![]() | C | 27 | 750,000$ | 750,000$ | RFA | ||||||
Joel Hofer ![]() | G | 23 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Matt Irwin ![]() | D | 36 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 2 | 3 | 0 | 29 | 7 | 6 | 16 | 0 | 26 | 7 | 9 | 33 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 21 | 12 | 21 | 9 | 16 | 8 | 66.7% | 17.2% | 92.3% | 109.5 | LUCKY | |
2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.333 | 9 | 14 | 23 | 0 | 0 | 1 | 6 | 2 | 0 | 87 | 39 | 25 | 23 | 0 | 83 | 25 | 37 | 69 | 10 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 66 | 41 | 61 | 26 | 51 | 25 | 52.9% | 10.3% | 89.2% | 99.5 | FUN | |
3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 21 | 32 | 0 | 0 | 1 | 5 | 5 | 0 | 93 | 24 | 33 | 36 | 0 | 77 | 25 | 24 | 80 | 13 | 3 | 23.08% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 69 | 42 | 59 | 26 | 51 | 26 | 57.1% | 11.8% | 92.2% | 104.0 | LUCKY | |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 1 | 3 | 2 | 0 | 83 | 15 | 27 | 41 | 0 | 64 | 15 | 13 | 31 | 7 | 2 | 28.57% | 4 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 46 | 31 | 42 | 16 | 31 | 15 | 40.0% | 7.2% | 90.6% | 97.9 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 0 | 4 | 0 | 34 | 5 | 17 | 12 | 0 | 29 | 9 | 0 | 31 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 13 | 19 | 8 | 17 | 9 | 80.0% | 11.8% | 96.6% | 108.3 | LUCKY | |
6 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 5 | 3 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 5 | 0 | 3 | 0 | 70 | 23 | 16 | 30 | 1 | 53 | 26 | 18 | 49 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 46 | 28 | 45 | 16 | 33 | 16 | 58.3% | 11.4% | 90.6% | 102.0 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 7 | 16 | 15 | 0 | 30 | 8 | 4 | 18 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 14 | 20 | 9 | 15 | 7 | 66.7% | 5.3% | 96.7% | 101.9 | DULL | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 0 | 2 | 30 | 10 | 9 | 11 | 3 | 33 | 12 | 4 | 21 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 23 | 15 | 23 | 9 | 18 | 8 | 66.7% | 6.7% | 97.0% | 103.6 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 1 | 1 | 2 | 33 | 16 | 9 | 6 | 7 | 29 | 6 | 2 | 18 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 25 | 16 | 21 | 8 | 17 | 8 | 50.0% | 15.2% | 86.2% | 101.4 | FUN | |
_Vs Division | 10 | 7 | 1 | 0 | 0 | 1 | 1 | 0 | 34 | 21 | 13 | 17 | 0.850 | 34 | 61 | 95 | 1 | 0 | 7 | 12 | 14 | 2 | 343 | 86 | 107 | 149 | 4 | 283 | 93 | 72 | 232 | 33 | 7 | 21.21% | 16 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 231 | 144 | 211 | 86 | 166 | 84 | 56.3% | 9.9% | 92.6% | 102.5 | LUCKY | |
_Vs Conference | 12 | 8 | 1 | 0 | 0 | 1 | 2 | 0 | 43 | 26 | 17 | 21 | 0.875 | 43 | 74 | 117 | 1 | 0 | 9 | 13 | 19 | 4 | 410 | 107 | 133 | 167 | 11 | 341 | 108 | 74 | 281 | 36 | 8 | 22.22% | 17 | 0 | 100.00% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 280 | 175 | 252 | 103 | 201 | 102 | 57.4% | 10.5% | 92.4% | 102.9 | LUCKY | |
_Since Last GM Reset | 15 | 9 | 3 | 0 | 0 | 1 | 2 | 0 | 52 | 35 | 17 | 23 | 0.767 | 52 | 88 | 140 | 1 | 0 | 10 | 19 | 21 | 4 | 497 | 146 | 158 | 190 | 11 | 424 | 133 | 111 | 350 | 46 | 8 | 17.39% | 23 | 1 | 95.65% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 347 | 216 | 314 | 129 | 253 | 127 | 56.4% | 10.5% | 91.7% | 102.2 | LUCKY | |
Total | 15 | 9 | 3 | 0 | 0 | 1 | 2 | 0 | 52 | 35 | 17 | 23 | 0.767 | 52 | 88 | 140 | 1 | 0 | 10 | 19 | 21 | 4 | 497 | 146 | 158 | 190 | 11 | 424 | 133 | 111 | 350 | 46 | 8 | 17.39% | 23 | 1 | 95.65% | 0 | 195 | 353 | 55.24% | 161 | 289 | 55.71% | 118 | 210 | 56.19% | 347 | 216 | 314 | 129 | 253 | 127 | 56.4% | 10.5% | 91.7% | 102.2 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 353 |
Neutral Zone Start | 210 |
Defensive Zone Start | 289 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 474 |
Faceoffs Lost | 378 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.7 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 32.9 | 30.68 |
Overtime | 33.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 43 |
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PP Goal | 8 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
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Win | 6 | 5 |
Lost | 2 | 1 |
Overtime Lost | 0 | 1 |
PP Attempt | 46 |
---|---|
PP Goal | 8 |
PK Attempt | 23 |
PK Goal Against | 1 |
Home | |
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Shots For | 33.1 |
Shots Against | 28.3 |
Goals For | 3.5 |
Goals Against | 2.3 |
Hits | 23.3 |
Shots Blocked | 8.9 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-09 | VS | COL2,DAL1 | RECAP | |||||||||||
2023-10-11 | VS | Buf4,COL2 | RECAP | |||||||||||
2023-10-13 | VS | DAL3,COL4 | RECAP | |||||||||||
2023-10-16 | VS | COL2,Buf3 | RECAP | |||||||||||
2023-10-19 | VS | COL2,MIN1 | RECAP | |||||||||||
2023-10-22 | VS | CHI3,COL1 | RECAP | |||||||||||
2023-10-26 | VS | COL5,CHI3 | RECAP | |||||||||||
2023-10-28 | VS | COL2,WPG3 (OT) | RECAP | |||||||||||
2023-10-29 | VS | DAL2,COL5 | RECAP | |||||||||||
2023-11-05 | VS | WPG2,COL6 | RECAP | |||||||||||
2023-11-07 | VS | COL2,ARI1 (SO) | RECAP | |||||||||||
2023-11-11 | VS | EDM4,COL5 (SO) | RECAP | |||||||||||
2023-11-14 | VS | LAK1,COL4 | RECAP | |||||||||||
2023-11-19 | VS | Buf2,COL5 | RECAP | |||||||||||
2023-11-21 | VS | COL5,NSH2 | RECAP | |||||||||||
2023-11-25 | VS | |||||||||||||
2023-11-29 | VS | |||||||||||||
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2024-04-08 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-11 | VS | |||||||||||||
2024-04-16 | VS | |||||||||||||
2024-04-19 | VS | |||||||||||||
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2024-05-23 | VS | |||||||||||||
2024-05-30 | VS |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,812,366$ | 0$ | 79,812,366$ | 5,187,634$ |
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 | 41240 | 33387 | 15855 | 26827 | 8000 |
Attendance PCT | 85.82% | 83.47% | 99.09% | 83.83% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 15664 - 86.99% | 1,972,527$ | 15,780,219$ | 18007 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,812,366$ | 79,812,366$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
15,973,523$ | 79,812,366$ | 15,782,649$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
65,093,403$ | 195 | 335,321$ | 65,387,595$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
66,372,852$ | 79,812,366$ | 50,355,154$ | 54,607,486$ |
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 |
---|---|---|---|---|---|
2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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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Rodwin Dionicio |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2024 | |||||
2025 | |||||
2026 | |||||
2027 | |||||
2028 |
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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Rodwin Dionicio |
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