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Full Scoreboard >> |
![]() | Cologne Hellcats 19-7-1, 39pts · 1st in World Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 100.00 | 67 | 42 | 91 | 92 | 66 | 87 | 99 | 99 | 44 | 99 | 95 | 62 | 57 | 78 | 86 | 97 | 75 | 89 | 31 | 9,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 82 | 55 | 84 | 85 | 76 | 79 | 83 | 96 | 45 | 85 | 95 | 67 | 60 | 77 | 80 | 91 | 75 | 85 | 29 | 8,500,000$/4yrs | |||
![]() | 71 | C | 100.00 | 67 | 42 | 90 | 88 | 70 | 76 | 93 | 84 | 97 | 80 | 89 | 79 | 79 | 74 | 79 | 85 | 75 | 83 | 31 | 4,000,000$/3yrs | |||
![]() | 0 | C | 100.00 | 67 | 43 | 88 | 88 | 76 | 81 | 99 | 92 | 86 | 85 | 83 | 78 | 74 | 79 | 81 | 84 | 75 | 82 | 31 | 5,350,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 59 | 73 | 85 | 74 | 75 | 97 | 72 | 42 | 75 | 87 | 82 | 45 | 73 | 77 | 82 | 75 | 81 | 32 | 4,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 54 | 87 | 84 | 58 | 77 | 99 | 87 | 38 | 82 | 84 | 66 | 85 | 74 | 74 | 83 | 75 | 79 | 26 | 7,875,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 63 | 51 | 89 | 92 | 64 | 72 | 81 | 80 | 32 | 81 | 81 | 60 | 25 | 72 | 74 | 81 | 75 | 76 | 28 | 6,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 40 | 96 | 77 | 66 | 67 | 78 | 78 | 70 | 79 | 76 | 65 | 75 | 58 | 58 | 77 | 75 | 74 | 27 | 650,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 43 | 90 | 80 | 75 | 72 | 96 | 77 | 32 | 69 | 66 | 67 | 38 | 82 | 87 | 67 | 75 | 68 | 33 | 750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 80 | 55 | 87 | 74 | 76 | 61 | 97 | 74 | 43 | 73 | 70 | 61 | 25 | 66 | 67 | 71 | 75 | 68 | 31 | 450,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 94 | 89 | 78 | 65 | 75 | 65 | 92 | 66 | 33 | 64 | 60 | 84 | 25 | 60 | 60 | 62 | 75 | 67 | 28 | 450,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 86 | 45 | 88 | 74 | 68 | 59 | 85 | 63 | 33 | 61 | 59 | 81 | 25 | 61 | 61 | 60 | 75 | 64 | 25 | 575,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 85 | 86 | 66 | 88 | 94 | 93 | 25 | 80 | 64 | 82 | 53 | 67 | 69 | 87 | 75 | 85 | 26 | 9,500,000$/6yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 89 | 81 | 73 | 78 | 87 | 63 | 25 | 57 | 48 | 92 | 25 | 80 | 83 | 60 | 75 | 73 | 34 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 43 | 86 | 79 | 75 | 69 | 85 | 65 | 25 | 49 | 51 | 87 | 46 | 92 | 92 | 58 | 75 | 69 | 37 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 88 | 78 | 73 | 72 | 64 | 64 | 25 | 54 | 47 | 85 | 25 | 59 | 59 | 59 | 75 | 69 | 25 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 85 | 73 | 65 | 69 | 79 | 74 | 25 | 58 | 49 | 69 | 25 | 55 | 55 | 67 | 75 | 68 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 95 | 46 | 87 | 74 | 72 | 65 | 75 | 62 | 25 | 49 | 47 | 85 | 25 | 56 | 56 | 56 | 75 | 67 | 27 | 550,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 88 | 45 | 93 | 74 | 71 | 63 | 83 | 66 | 91 | 55 | 58 | 91 | 25 | 68 | 72 | 57 | 75 | 64 | 32 | 650,000$/1yrs | |||
![]() | 0 | D | 84.73 | 61 | 42 | 90 | 92 | 78 | 90 | 61 | 83 | 25 | 77 | 60 | 81 | 25 | 71 | 73 | 80 | 75 | 81 | 26 | 9,583,333$/5yrs | |||
![]() | 0 | D | 89.44 | 73 | 45 | 72 | 84 | 86 | 81 | 68 | 75 | 25 | 73 | 65 | 68 | 85 | 79 | 83 | 74 | 75 | 73 | 31 | 5,750,000$/2yrs | |||
TEAM AVERAGE | 98.71 | 73 | 48 | 86 | 81 | 72 | 74 | 85 | 77 | 42 | 71 | 68 | 76 | 45 | 71 | 73 | 73 | 75 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.50 | 75 | 92 | 69 | 80 | 75 | 74 | 71 | 77 | 78 | 75 | 95 | 56 | 56 | 83 | 75 | 80 | 27 | 766,667$/2yrs |
![]() | 0 | 100.00 | 74 | 82 | 61 | 80 | 80 | 68 | 69 | 74 | 80 | 74 | 75 | 48 | 48 | 82 | 75 | 77 | 24 | 890,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 75 | 87 | 65 | 80 | 78 | 71 | 70 | 76 | 79 | 75 | 85 | 52 | 52 | 83 | 75 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Sebastian Horn |
---|
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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikita Kucherov | ![]() | 0 | RW | 27 | 18 | 12 | 30 | 9 | 2 | 0 | 21 | 105 | 27 | 78 | 17.14% | 2 | 20.25 | 2 | 6 | 8 | 0 | 0 | 0 | 12 | 5 | 0 | 31.88% | 69 | 0 | 0 | 0 | 1 | 1.10 | 0 | 0 |
2 | Filip Forsberg | ![]() | 0 | C/LW/RW | 27 | 13 | 14 | 27 | -7 | 32 | 10 | 67 | 100 | 35 | 53 | 13.00% | 3 | 19.28 | 5 | 5 | 10 | 0 | 0 | 0 | 8 | 3 | 3 | 46.22% | 119 | 0 | 0 | 0 | 0 | 1.04 | 1 | 1 |
3 | Mika Zibanejad | ![]() | 0 | C | 27 | 7 | 18 | 25 | -5 | 8 | 0 | 19 | 97 | 26 | 76 | 7.22% | 8 | 20.54 | 0 | 5 | 5 | 0 | 0 | 0 | 51 | 0 | 1 | 53.75% | 761 | 0 | 0 | 1 | 0 | 0.90 | 1 | 1 |
4 | Adam Fox | ![]() | 0 | D | 27 | 6 | 19 | 25 | 6 | 12 | 0 | 62 | 58 | 16 | 36 | 10.34% | 34 | 24.30 | 4 | 5 | 9 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
5 | William Karlsson | ![]() | 71 | C | 25 | 7 | 15 | 22 | 4 | 2 | 0 | 10 | 92 | 29 | 64 | 7.61% | 2 | 16.99 | 3 | 7 | 10 | 0 | 0 | 0 | 2 | 2 | 0 | 60.07% | 556 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 |
6 | Zach Werenski | ![]() | 0 | D | 23 | 5 | 16 | 21 | -3 | 12 | 0 | 30 | 44 | 14 | 26 | 11.36% | 39 | 22.29 | 3 | 6 | 9 | 0 | 0 | 0 | 47 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
7 | Nikolaj Ehlers | ![]() | 0 | LW | 27 | 4 | 10 | 14 | 2 | 2 | 0 | 14 | 70 | 26 | 43 | 5.71% | 1 | 14.83 | 1 | 2 | 3 | 0 | 0 | 0 | 13 | 0 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
8 | Tommy Novak | ![]() | 0 | C | 27 | 3 | 11 | 14 | 2 | 4 | 0 | 0 | 36 | 10 | 25 | 8.33% | 1 | 12.68 | 0 | 3 | 3 | 0 | 0 | 0 | 9 | 1 | 1 | 43.59% | 351 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
9 | Alex DeBrincat | ![]() | 0 | LW/RW | 27 | 6 | 8 | 14 | -12 | 7 | 5 | 21 | 68 | 26 | 52 | 8.82% | 1 | 17.71 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 1 | 2 | 32.14% | 28 | 0 | 0 | 0 | 0 | 0.59 | 0 | 2 |
10 | Blake Coleman | ![]() | 0 | C/LW/RW | 27 | 6 | 6 | 12 | 4 | 23 | 5 | 64 | 70 | 28 | 70 | 8.57% | 6 | 18.05 | 3 | 2 | 5 | 0 | 0 | 0 | 36 | 0 | 0 | 38.10% | 42 | 0 | 0 | 1 | 0 | 0.49 | 0 | 0 |
11 | Marc-Edouard Vlasic | ![]() | 0 | D | 27 | 3 | 7 | 10 | 4 | 8 | 0 | 42 | 23 | 6 | 18 | 13.04% | 33 | 18.16 | 1 | 1 | 2 | 0 | 0 | 0 | 55 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 |
12 | Christopher Tanev | ![]() | 0 | D | 27 | 3 | 7 | 10 | 7 | 14 | 0 | 40 | 27 | 5 | 22 | 11.11% | 38 | 21.39 | 0 | 0 | 0 | 0 | 0 | 0 | 53 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
13 | Dougie Hamilton | ![]() | 0 | D | 21 | 4 | 6 | 10 | 1 | 4 | 0 | 35 | 17 | 8 | 10 | 23.53% | 17 | 16.87 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 1 | 2 |
14 | Stefan Noesen | ![]() | 0 | RW | 27 | 2 | 4 | 6 | 2 | 17 | 5 | 46 | 18 | 4 | 22 | 11.11% | 0 | 12.07 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 30 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
15 | Cole Smith | ![]() | 0 | LW | 27 | 3 | 2 | 5 | 1 | 8 | 0 | 38 | 29 | 5 | 30 | 10.34% | 9 | 9.76 | 0 | 0 | 0 | 0 | 0 | 0 | 58 | 1 | 1 | 16.67% | 18 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 |
16 | Parker Kelly | ![]() | 0 | C/LW | 24 | 0 | 5 | 5 | -3 | 4 | 0 | 9 | 10 | 8 | 13 | 0.00% | 2 | 7.87 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 33.96% | 212 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
17 | Noah Juulsen | ![]() | 0 | D | 16 | 1 | 3 | 4 | -3 | 6 | 0 | 29 | 5 | 1 | 7 | 20.00% | 17 | 14.38 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 |
18 | Marcus Johansson | ![]() | 0 | C/LW | 21 | 2 | 2 | 4 | 0 | 0 | 0 | 5 | 21 | 5 | 11 | 9.52% | 2 | 8.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.32% | 19 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 |
19 | Noel Acciari | ![]() | 0 | C/RW | 12 | 2 | 1 | 3 | 0 | 4 | 0 | 14 | 16 | 5 | 11 | 12.50% | 3 | 11.18 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 56.06% | 66 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 |
20 | Yegor Zamula | ![]() | 0 | D | 12 | 0 | 1 | 1 | -8 | 12 | 0 | 22 | 5 | 0 | 4 | 0.00% | 9 | 17.53 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 |
21 | Urho Vaakanainen | ![]() | 0 | D | 6 | 0 | 1 | 1 | -5 | 0 | 0 | 5 | 5 | 1 | 6 | 0.00% | 10 | 17.39 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 |
Team Total or Average | 484 | 95 | 168 | 263 | -4 | 181 | 25 | 593 | 916 | 285 | 677 | 10.37% | 237 | 16.49 | 26 | 49 | 75 | 848 | 0 | 0 | 0 | 461 | 18 | 9 | 49.50% | 2293 | 0 | 0 | 2 | 1 | 0.66 | 3 | 6 |
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 | Logan Thompson | ![]() | 22 | 16 | 6 | 0 | 0.910 | 2.72 | 1303 | 2 | 1 | 59 | 658 | 0 | 1 | 1 | 0.500 | 4 | 22 | 5 | 3 | 0 | 4 |
2 | Cayden Primeau | ![]() | 4 | 2 | 1 | 0 | 0.912 | 2.97 | 202 | 0 | 0 | 10 | 114 | 0 | 0 | 0 | 0.000 | 0 | 3 | 13 | 0 | 0 | 0 |
Team Total or Average | 26 | 18 | 7 | 0 | 0.911 | 2.75 | 1505 | 2 | 1 | 69 | 772 | 0 | 1 | 1 | 0.500 | 4 | 25 | 18 | 3 | 0 | 4 |
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 | ![]() | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 3.75 | 2.50 | 1.25 | 8 | 1.000 | 3.8 | 6.8 | 10.5 | 0 | 0 | 5 | 3 | 6 | 1 | 27.3 | 43 | 44 | 21 | 1 | 33.8 | 8.0 | 6.00 | 18.8 | 2.75 | 0.75 | 27.27% | 2.50 | 0.75 | 70.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 22.75 | 15.75 | 24.75 | 7.00 | 12.25 | 6.00 | 63.2% | 13.8% | 92.6% | 106.4 | LUCKY |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 4 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 1 | 4 | 5 | 1 | 0 | 35.5 | 21 | 17 | 33 | 0 | 32.0 | 6.5 | 16.00 | 19.0 | 3.50 | 1.00 | 28.57% | 2.50 | 0.50 | 80.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.00 | 17.00 | 21.50 | 7.00 | 12.50 | 7.00 | 88.9% | 14.1% | 96.9% | 111.0 | LUCKY |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 3 | 0 | 0 | 41.0 | 10 | 17 | 14 | 0 | 22.0 | 1.0 | 6.00 | 27.0 | 3.00 | 2.00 | 66.67% | 2.00 | 1.00 | 50.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 27.00 | 19.00 | 19.00 | 6.00 | 13.00 | 6.00 | 66.7% | 9.8% | 90.9% | 100.7 | FUN |
4 | ![]() | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 4.33 | 4.33 | 0.00 | 4 | 0.667 | 4.3 | 7.3 | 11.7 | 0 | 0 | 5 | 3 | 4 | 3 | 36.7 | 38 | 38 | 32 | 6 | 41.7 | 12.3 | 9.00 | 22.0 | 4.67 | 1.33 | 28.57% | 3.33 | 0.33 | 90.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.00 | 17.33 | 23.00 | 7.33 | 13.00 | 6.67 | 42.9% | 11.8% | 89.6% | 101.4 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 2 | 0 | 0 | 43.0 | 14 | 16 | 13 | 0 | 18.0 | 8.0 | 2.00 | 21.0 | 4.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 19.00 | 22.00 | 6.00 | 11.00 | 5.00 | 75.0% | 7.0% | 94.4% | 101.4 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 2 | 1 | 1 | 0 | 29.0 | 7 | 10 | 12 | 0 | 26.0 | 7.0 | 10.00 | 21.0 | 7.00 | 1.00 | 14.29% | 5.00 | 1.00 | 80.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.00 | 16.00 | 21.00 | 7.00 | 13.00 | 6.00 | 42.9% | 13.8% | 80.8% | 94.6 | FUN |
7 | ![]() | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 4 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 2 | 3 | 1 | 34.0 | 44 | 37 | 53 | 2 | 29.8 | 6.8 | 4.50 | 23.8 | 3.25 | 0.50 | 15.38% | 2.00 | 0.25 | 87.50% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.25 | 18.00 | 23.00 | 6.50 | 12.00 | 6.00 | 42.1% | 7.4% | 89.9% | 97.3 | Unlucky |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 3 | 6 | 1 | 0 | 39.0 | 28 | 29 | 21 | 0 | 36.0 | 10.0 | 7.00 | 23.0 | 4.50 | 1.50 | 33.33% | 3.50 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.50 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 50.0% | 12.8% | 90.3% | 103.1 | FUN |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 9.0 | 15.0 | 0 | 0 | 2 | 2 | 2 | 0 | 40.0 | 12 | 18 | 10 | 0 | 24.0 | 11.0 | 2.00 | 23.0 | 5.00 | 2.00 | 40.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 18.00 | 20.00 | 6.00 | 13.00 | 7.00 | 50.0% | 15.0% | 83.3% | 98.3 | FUN |
10 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 4 | 0.667 | 3.0 | 5.0 | 8.0 | 1 | 0 | 5 | 1 | 3 | 0 | 33.3 | 42 | 32 | 26 | 0 | 32.0 | 11.0 | 7.33 | 24.0 | 4.67 | 0.33 | 7.14% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.67 | 17.67 | 23.00 | 6.67 | 12.00 | 6.00 | 47.1% | 9.0% | 90.6% | 99.6 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 3 | 0 | 0 | 23.0 | 9 | 8 | 6 | 0 | 31.0 | 12.0 | 4.00 | 16.0 | 8.00 | 3.00 | 37.50% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 19.00 | 20.00 | 6.00 | 12.00 | 6.00 | 0.0% | 13.0% | 87.1% | 100.1 | FUN |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 0 | 1 | 0 | 35.0 | 10 | 8 | 17 | 0 | 25.0 | 6.0 | 2.00 | 23.0 | 4.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.00 | 16.00 | 22.00 | 8.00 | 13.00 | 7.00 | 66.7% | 5.7% | 96.0% | 101.7 | DULL |
13 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 0 | 3 | 0 | 36.0 | 11 | 8 | 16 | 3 | 42.0 | 15.0 | 6.00 | 23.0 | 3.00 | 1.00 | 33.33% | 3.00 | 1.00 | 66.67% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.00 | 16.00 | 28.00 | 6.00 | 13.00 | 6.00 | 40.0% | 8.3% | 90.5% | 98.8 | Unlucky |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 38.0 | 10 | 12 | 16 | 0 | 33.0 | 9.0 | 4.00 | 20.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.00 | 15.00 | 24.00 | 6.00 | 12.00 | 6.00 | 20.0% | 2.6% | 87.9% | 90.5 | Unlucky |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 1 | 1 | 0 | 30.0 | 12 | 8 | 10 | 0 | 18.0 | 7.0 | 10.00 | 28.0 | 3.00 | 2.00 | 66.67% | 3.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 22.00 | 15.00 | 25.00 | 7.00 | 12.00 | 5.00 | 50.0% | 10.0% | 94.4% | 104.4 | LUCKY |
_Vs Division | 16 | 8 | 4 | 0 | 2 | 0 | 1 | 1 | 3.31 | 3.06 | 0.25 | 23 | 0.719 | 3.3 | 5.9 | 9.2 | 1 | 0 | 20 | 11 | 19 | 5 | 33.4 | 192 | 175 | 161 | 12 | 33.4 | 9.5 | 6.19 | 22.0 | 3.69 | 0.69 | 18.64% | 2.38 | 0.38 | 84.21% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.50 | 17.38 | 23.81 | 6.94 | 12.38 | 6.25 | 49.4% | 9.9% | 90.8% | 100.8 | FUN | |
_Vs Conference | 21 | 12 | 5 | 0 | 2 | 0 | 1 | 1 | 3.52 | 2.90 | 0.62 | 31 | 0.738 | 3.5 | 6.3 | 9.8 | 1 | 1 | 27 | 21 | 23 | 5 | 34.5 | 245 | 239 | 234 | 12 | 32.3 | 8.9 | 6.81 | 21.9 | 3.67 | 0.81 | 22.08% | 2.29 | 0.38 | 83.33% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.76 | 17.43 | 23.29 | 6.90 | 12.52 | 6.38 | 51.8% | 10.2% | 91.0% | 101.2 | FUN | |
_Since Last GM Reset | 27 | 16 | 7 | 0 | 2 | 0 | 1 | 1 | 3.56 | 2.93 | 0.63 | 39 | 0.722 | 3.6 | 6.3 | 9.8 | 1 | 1 | 34 | 32 | 27 | 5 | 34.0 | 311 | 302 | 300 | 12 | 31.5 | 8.8 | 6.78 | 22.0 | 4.00 | 0.96 | 24.07% | 2.44 | 0.33 | 86.36% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.63 | 17.30 | 23.22 | 7.00 | 12.56 | 6.37 | 50.0% | 10.4% | 90.7% | 101.2 | FUN | |
Total | 27 | 16 | 7 | 0 | 2 | 0 | 1 | 1 | 3.56 | 2.93 | 0.63 | 39 | 0.722 | 3.6 | 6.3 | 9.8 | 1 | 1 | 34 | 32 | 27 | 5 | 34.0 | 311 | 302 | 300 | 12 | 31.5 | 8.8 | 6.78 | 22.0 | 4.00 | 0.96 | 24.07% | 2.44 | 0.33 | 86.36% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.63 | 17.30 | 23.22 | 7.00 | 12.56 | 6.37 | 50.0% | 10.4% | 90.7% | 101.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 966 |
Neutral Zone Start | 437 |
Defensive Zone Start | 899 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1142 |
Faceoffs Lost | 1160 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 33.8 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 69 |
---|---|
PP Goal | 26 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 10 | 9 |
Lost | 3 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 108 |
---|---|
PP Goal | 26 |
PK Attempt | 66 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 34.0 |
Shots Against | 31.5 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 22.0 |
Shots Blocked | 8.8 |
Pim | 6.8 |
![]() | |
Total Salaries | 83,442,750$ |
Projected Total Cap Hit | 83,225,780$ |
Projected Cap Space | 274,220$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 27,824,605$ |
Players Signed (45 – 60) | 58 |
Goalies Signed (min. 6) | 8 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Hellcats Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 26 | 9,500,000$ | 6,227,778$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |
Alex DeBrincat | LW/RW | 26 | 7,875,000$ | 5,162,500$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |||
Blake Coleman | C/LW/RW | 32 | 4,000,000$ | 2,622,222$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Cayden Primeau | G | 24 | 890,000$ | 583,444$ | 890,000$ | 890,000$ | RFA | |||||
Christopher Tanev | D | 34 | 3,500,000$ | 2,294,444$ | 3,500,000$ | UFA | ||||||
Cole Smith | LW | 28 | 450,000$ | 295,000$ | 450,000$ | 450,000$ | UFA | |||||
Dougie Hamilton | D | 31 | 5,750,000$ | 3,769,444$ | 5,750,000$ | 5,750,000$ | UFA | |||||
Filip Forsberg | C/LW/RW | 29 | 8,500,000$ | 5,572,222$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Logan Thompson | G | 27 | 766,667$ | 502,593$ | 766,667$ | 766,667$ | UFA | |||||
Marc-Edouard Vlasic | D | 37 | 450,000$ | 295,000$ | 450,000$ | UFA | ||||||
Marcus Johansson | C/LW | 33 | 750,000$ | 491,667$ | 750,000$ | 750,000$ | UFA | |||||
Mika Zibanejad | C | 31 | 5,350,000$ | 3,507,222$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | ||||
Nikita Kucherov | RW | 31 | 9,500,000$ | 6,227,778$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Nikolaj Ehlers | LW | 28 | 6,000,000$ | 3,933,333$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Noah Juulsen | D | 27 | 550,000$ | 360,556$ | 550,000$ | 550,000$ | UFA | |||||
Noel Acciari | C/RW | 32 | 650,000$ | 426,111$ | 650,000$ | UFA | ||||||
Parker Kelly | C/LW | 25 | 575,000$ | 376,944$ | 575,000$ | 575,000$ | RFA | |||||
Stefan Noesen | RW | 31 | 450,000$ | 295,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Tommy Novak | C | 27 | 650,000$ | 426,111$ | 650,000$ | 650,000$ | 650,000$ | UFA | ||||
Urho Vaakanainen | D | 25 | 850,000$ | 557,222$ | 850,000$ | RFA | ||||||
William Karlsson | C | 31 | 4,000,000$ | 2,622,222$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Yegor Zamula | D | 24 | 775,000$ | 508,056$ | 775,000$ | RFA | ||||||
Zach Werenski | D | 26 | 9,583,333$ | 6,282,407$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | 9,583,333$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Pashin | RW | 21 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | RFA | |||||
Arseni Gritsyuk | RW | 23 | 575,000$ | 37,694$ | 57,500$ | RFA | ||||||
Arseni Koromyslov | D | 20 | 550,000$ | 36,056$ | 55,000$ | 55,000$ | RFA | |||||
Arvid Soderblom | G | 24 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | RFA | |||||
Atro Leppanen | D | 25 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | RFA | |||||
Ben Meyers | C/LW | 25 | 775,000$ | 50,806$ | 77,500$ | RFA | ||||||
Brandon Bussi | G | 26 | 450,000$ | 29,500$ | 45,000$ | RFA | ||||||
Cedrick Guindon | C/LW | 20 | 500,000$ | 32,778$ | 50,000$ | 50,000$ | RFA | |||||
Cole Guttman | C | 25 | 950,000$ | 62,278$ | 95,000$ | RFA | ||||||
Cooper Black | G | 23 | 650,000$ | 42,611$ | 65,000$ | 65,000$ | 65,000$ | RFA | ||||
Damir Zhafyarov | LW/RW | 30 | 650,000$ | 42,611$ | 65,000$ | 65,000$ | UFA | |||||
Danil Aimurzin | C | 22 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Dmitri Rashevsky | RW | 23 | 625,000$ | 40,972$ | 62,500$ | RFA | ||||||
Ethen Frank | C | 26 | 775,000$ | 50,806$ | 77,500$ | RFA | ||||||
Filip Hallander | C/LW | 24 | 525,000$ | 34,417$ | 52,500$ | RFA | ||||||
Filip Larsson | G | 25 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | RFA | |||||
Jack Studnicka | C | 25 | 762,500$ | 49,986$ | 76,250$ | RFA | ||||||
Joshua Roy | C/LW/RW | 20 | 550,000$ | 36,056$ | 55,000$ | RFA | ||||||
Keegan Lowe | D | 31 | 450,000$ | 29,500$ | 45,000$ | UFA | ||||||
Kevin Rooney | C | 31 | 650,000$ | 42,611$ | 65,000$ | UFA | ||||||
Luca Del Bel Belluz | C | 20 | 725,000$ | 47,528$ | 72,500$ | 72,500$ | RFA | |||||
Lukas Cormier | D | 22 | 793,333$ | 52,007$ | 79,333$ | 79,333$ | RFA | |||||
Luke Haymes | C | 20 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Marcus Hardegard | D | 27 | 500,000$ | 32,778$ | 50,000$ | UFA | ||||||
Maxim Shabanov | C/RW | 23 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | RFA | |||||
Michael Kesselring | D | 24 | 450,000$ | 29,500$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Nick Blankenburg | D | 26 | 450,000$ | 29,500$ | 45,000$ | RFA | ||||||
Nick Robertson | LW/RW | 22 | 796,667$ | 52,226$ | 79,667$ | RFA | ||||||
Patrik Noren | D | 31 | 450,000$ | 29,500$ | 45,000$ | UFA | ||||||
Samuel Fagemo | LW/RW | 24 | 775,000$ | 50,806$ | 77,500$ | RFA | ||||||
Simon Forsmark | D | 20 | 625,000$ | 40,972$ | 62,500$ | 62,500$ | RFA | |||||
Simon Zajicek | G | 23 | 450,000$ | 29,500$ | 45,000$ | RFA | ||||||
Trey Fix-Wolansky | RW | 25 | 775,000$ | 50,806$ | 77,500$ | 77,500$ | RFA | |||||
Valtteri Puustinen | LW/RW | 25 | 775,000$ | 50,806$ | 77,500$ | RFA | ||||||
William Rousseau | G | 21 | 625,000$ | 40,972$ | 62,500$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 3.75 | 2.50 | 1.25 | 8 | 1.000 | 3.8 | 6.8 | 10.5 | 0 | 0 | 5 | 3 | 6 | 1 | 27.3 | 43 | 44 | 21 | 1 | 33.8 | 8.0 | 6.00 | 18.8 | 2.75 | 0.75 | 27.27% | 2.50 | 0.75 | 70.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 22.75 | 15.75 | 24.75 | 7.00 | 12.25 | 6.00 | 63.2% | 13.8% | 92.6% | 106.4 | LUCKY |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 4 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 1 | 4 | 5 | 1 | 0 | 35.5 | 21 | 17 | 33 | 0 | 32.0 | 6.5 | 16.00 | 19.0 | 3.50 | 1.00 | 28.57% | 2.50 | 0.50 | 80.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.00 | 17.00 | 21.50 | 7.00 | 12.50 | 7.00 | 88.9% | 14.1% | 96.9% | 111.0 | LUCKY |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 1 | 3 | 0 | 0 | 41.0 | 10 | 17 | 14 | 0 | 22.0 | 1.0 | 6.00 | 27.0 | 3.00 | 2.00 | 66.67% | 2.00 | 1.00 | 50.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 27.00 | 19.00 | 19.00 | 6.00 | 13.00 | 6.00 | 66.7% | 9.8% | 90.9% | 100.7 | FUN |
4 | ![]() | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 4.33 | 4.33 | 0.00 | 4 | 0.667 | 4.3 | 7.3 | 11.7 | 0 | 0 | 5 | 3 | 4 | 3 | 36.7 | 38 | 38 | 32 | 6 | 41.7 | 12.3 | 9.00 | 22.0 | 4.67 | 1.33 | 28.57% | 3.33 | 0.33 | 90.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.00 | 17.33 | 23.00 | 7.33 | 13.00 | 6.67 | 42.9% | 11.8% | 89.6% | 101.4 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 1 | 2 | 0 | 0 | 43.0 | 14 | 16 | 13 | 0 | 18.0 | 8.0 | 2.00 | 21.0 | 4.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 19.00 | 22.00 | 6.00 | 11.00 | 5.00 | 75.0% | 7.0% | 94.4% | 101.4 | DULL |
6 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 2 | 1 | 1 | 0 | 29.0 | 7 | 10 | 12 | 0 | 26.0 | 7.0 | 10.00 | 21.0 | 7.00 | 1.00 | 14.29% | 5.00 | 1.00 | 80.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.00 | 16.00 | 21.00 | 7.00 | 13.00 | 6.00 | 42.9% | 13.8% | 80.8% | 94.6 | FUN |
7 | ![]() | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 4 | 0.500 | 2.5 | 4.5 | 7.0 | 0 | 0 | 4 | 2 | 3 | 1 | 34.0 | 44 | 37 | 53 | 2 | 29.8 | 6.8 | 4.50 | 23.8 | 3.25 | 0.50 | 15.38% | 2.00 | 0.25 | 87.50% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 25.25 | 18.00 | 23.00 | 6.50 | 12.00 | 6.00 | 42.1% | 7.4% | 89.9% | 97.3 | Unlucky |
8 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 4 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 3 | 6 | 1 | 0 | 39.0 | 28 | 29 | 21 | 0 | 36.0 | 10.0 | 7.00 | 23.0 | 4.50 | 1.50 | 33.33% | 3.50 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.50 | 16.50 | 24.00 | 7.00 | 12.00 | 6.00 | 50.0% | 12.8% | 90.3% | 103.1 | FUN |
9 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 4.00 | 2.00 | 2 | 1.000 | 6.0 | 9.0 | 15.0 | 0 | 0 | 2 | 2 | 2 | 0 | 40.0 | 12 | 18 | 10 | 0 | 24.0 | 11.0 | 2.00 | 23.0 | 5.00 | 2.00 | 40.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 18.00 | 20.00 | 6.00 | 13.00 | 7.00 | 50.0% | 15.0% | 83.3% | 98.3 | FUN |
10 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 3.00 | 0.00 | 4 | 0.667 | 3.0 | 5.0 | 8.0 | 1 | 0 | 5 | 1 | 3 | 0 | 33.3 | 42 | 32 | 26 | 0 | 32.0 | 11.0 | 7.33 | 24.0 | 4.67 | 0.33 | 7.14% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.67 | 17.67 | 23.00 | 6.67 | 12.00 | 6.00 | 47.1% | 9.0% | 90.6% | 99.6 | FUN |
11 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 4.00 | -1.00 | 0 | 0.000 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 3 | 0 | 0 | 23.0 | 9 | 8 | 6 | 0 | 31.0 | 12.0 | 4.00 | 16.0 | 8.00 | 3.00 | 37.50% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 26.00 | 19.00 | 20.00 | 6.00 | 12.00 | 6.00 | 0.0% | 13.0% | 87.1% | 100.1 | FUN |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2.00 | 1.00 | 1.00 | 2 | 1.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 1 | 0 | 1 | 0 | 35.0 | 10 | 8 | 17 | 0 | 25.0 | 6.0 | 2.00 | 23.0 | 4.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.00 | 16.00 | 22.00 | 8.00 | 13.00 | 7.00 | 66.7% | 5.7% | 96.0% | 101.7 | DULL |
13 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 0 | 0 | 3 | 0 | 36.0 | 11 | 8 | 16 | 3 | 42.0 | 15.0 | 6.00 | 23.0 | 3.00 | 1.00 | 33.33% | 3.00 | 1.00 | 66.67% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.00 | 16.00 | 28.00 | 6.00 | 13.00 | 6.00 | 40.0% | 8.3% | 90.5% | 98.8 | Unlucky |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 4.00 | -3.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 0 | 1 | 0 | 38.0 | 10 | 12 | 16 | 0 | 33.0 | 9.0 | 4.00 | 20.0 | 3.00 | 0.00 | 0.00% | 2.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 23.00 | 15.00 | 24.00 | 6.00 | 12.00 | 6.00 | 20.0% | 2.6% | 87.9% | 90.5 | Unlucky |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3.00 | 1.00 | 2.00 | 2 | 1.000 | 3.0 | 5.0 | 8.0 | 0 | 0 | 1 | 1 | 1 | 0 | 30.0 | 12 | 8 | 10 | 0 | 18.0 | 7.0 | 10.00 | 28.0 | 3.00 | 2.00 | 66.67% | 3.00 | 0.00 | 100.00% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 22.00 | 15.00 | 25.00 | 7.00 | 12.00 | 5.00 | 50.0% | 10.0% | 94.4% | 104.4 | LUCKY |
_Vs Division | 16 | 8 | 4 | 0 | 2 | 0 | 1 | 1 | 3.31 | 3.06 | 0.25 | 23 | 0.719 | 3.3 | 5.9 | 9.2 | 1 | 0 | 20 | 11 | 19 | 5 | 33.4 | 192 | 175 | 161 | 12 | 33.4 | 9.5 | 6.19 | 22.0 | 3.69 | 0.69 | 18.64% | 2.38 | 0.38 | 84.21% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.50 | 17.38 | 23.81 | 6.94 | 12.38 | 6.25 | 49.4% | 9.9% | 90.8% | 100.8 | FUN | |
_Vs Conference | 21 | 12 | 5 | 0 | 2 | 0 | 1 | 1 | 3.52 | 2.90 | 0.62 | 31 | 0.738 | 3.5 | 6.3 | 9.8 | 1 | 1 | 27 | 21 | 23 | 5 | 34.5 | 245 | 239 | 234 | 12 | 32.3 | 8.9 | 6.81 | 21.9 | 3.67 | 0.81 | 22.08% | 2.29 | 0.38 | 83.33% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.76 | 17.43 | 23.29 | 6.90 | 12.52 | 6.38 | 51.8% | 10.2% | 91.0% | 101.2 | FUN | |
_Since Last GM Reset | 27 | 16 | 7 | 0 | 2 | 0 | 1 | 1 | 3.56 | 2.93 | 0.63 | 39 | 0.722 | 3.6 | 6.3 | 9.8 | 1 | 1 | 34 | 32 | 27 | 5 | 34.0 | 311 | 302 | 300 | 12 | 31.5 | 8.8 | 6.78 | 22.0 | 4.00 | 0.96 | 24.07% | 2.44 | 0.33 | 86.36% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.63 | 17.30 | 23.22 | 7.00 | 12.56 | 6.37 | 50.0% | 10.4% | 90.7% | 101.2 | FUN | |
Total | 27 | 16 | 7 | 0 | 2 | 0 | 1 | 1 | 3.56 | 2.93 | 0.63 | 39 | 0.722 | 3.6 | 6.3 | 9.8 | 1 | 1 | 34 | 32 | 27 | 5 | 34.0 | 311 | 302 | 300 | 12 | 31.5 | 8.8 | 6.78 | 22.0 | 4.00 | 0.96 | 24.07% | 2.44 | 0.33 | 86.36% | 0 | 480 | 966 | 49.69% | 445 | 899 | 49.50% | 217 | 437 | 49.66% | 24.63 | 17.30 | 23.22 | 7.00 | 12.56 | 6.37 | 50.0% | 10.4% | 90.7% | 101.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 966 |
Neutral Zone Start | 437 |
Defensive Zone Start | 899 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1142 |
Faceoffs Lost | 1160 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 22.7 | 20.31 |
3rd Period | 33.8 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.6 | 2.83 |
Even Strenght Goal | 69 |
---|---|
PP Goal | 26 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 10 | 9 |
Lost | 3 | 4 |
Overtime Lost | 1 | 0 |
PP Attempt | 108 |
---|---|
PP Goal | 26 |
PK Attempt | 66 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 34.0 |
Shots Against | 31.5 |
Goals For | 3.6 |
Goals Against | 2.9 |
Hits | 22.0 |
Shots Blocked | 8.8 |
Pim | 6.8 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,365,000$ | 0$ | 83,225,780$ | 274,220$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | MühlenArena am Dom | |
City | Cologne | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 20$ | 200$ |
Attendance | 67396 | 54997 | 22189 | 43528 | 10653 |
Attendance PCT | 80.23% | 78.57% | 79.25% | 77.73% | 76.09% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 14197 - 78.87% | 986,943$ | 13,817,195$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,365,000$ | 81,365,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
27,824,605$ | 452,028$ | 27,824,605$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
26,647,448$ | 118 | 452,028$ | 53,339,304$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
54,701,378$ | 83,225,780$ | 20,581,816$ | -5,587,254$ |
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aiden Fink | ![]() | 2023 | 75 | - | Link |
Anthony Romani | ![]() | 2023 | 159 | - | Link |
Ben Hrebik | ![]() | 2024 | 186 | 0 | |
Bryce Pickford | ![]() | 2024 | 172 | 0 | |
Gabriel Perreault | ![]() | 2023 | 19 | - | Link |
Luke Mistelbacher | ![]() | 2024 | 175 | 0 | |
Miguel Marques | ![]() | 2024 | 74 | 0 | |
Nate Misskey | ![]() | 2024 | 194 | 0 | |
Tomas Galvas | ![]() | 2024 | 102 | 0 | |
Topias Hynninen | ![]() | 2024 | 158 | 0 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
---|---|---|---|---|---|---|---|
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aiden Fink | ![]() | 2023 | 75 | - | Link |
Anthony Romani | ![]() | 2023 | 159 | - | Link |
Ben Hrebik | ![]() | 2024 | 186 | 0 | |
Bryce Pickford | ![]() | 2024 | 172 | 0 | |
Gabriel Perreault | ![]() | 2023 | 19 | - | Link |
Luke Mistelbacher | ![]() | 2024 | 175 | 0 | |
Miguel Marques | ![]() | 2024 | 74 | 0 | |
Nate Misskey | ![]() | 2024 | 194 | 0 | |
Tomas Galvas | ![]() | 2024 | 102 | 0 | |
Topias Hynninen | ![]() | 2024 | 158 | 0 |
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