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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Cologne Hellcats 2-8-1, 5pts · 14th 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 | LW/RW | 100.00 | 67 | 41 | 97 | 78 | 62 | 59 | 57 | 69 | 33 | 68 | 76 | 65 | 25 | 55 | 55 | 73 | 75 | 70 | 22 | 796,667$/1yrs | |||
![]() | 0 | LW | 100.00 | 94 | 89 | 78 | 65 | 75 | 65 | 92 | 66 | 33 | 64 | 60 | 84 | 25 | 60 | 60 | 62 | 75 | 67 | 28 | 450,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 88 | 45 | 93 | 74 | 71 | 63 | 83 | 66 | 91 | 55 | 58 | 91 | 25 | 68 | 72 | 57 | 75 | 64 | 32 | 650,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 86 | 45 | 88 | 74 | 68 | 59 | 85 | 63 | 33 | 61 | 59 | 81 | 25 | 61 | 61 | 60 | 75 | 64 | 25 | 575,000$/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$/6yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 90 | 92 | 78 | 90 | 61 | 83 | 25 | 77 | 60 | 81 | 25 | 71 | 73 | 80 | 75 | 81 | 26 | 9,583,333$/5yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 89 | 81 | 73 | 78 | 87 | 63 | 25 | 57 | 48 | 92 | 25 | 80 | 83 | 60 | 75 | 73 | 34 | 3,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 45 | 72 | 84 | 86 | 81 | 68 | 75 | 25 | 73 | 65 | 68 | 85 | 79 | 83 | 74 | 75 | 73 | 31 | 5,750,000$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 85 | 73 | 65 | 69 | 79 | 74 | 25 | 58 | 49 | 69 | 25 | 55 | 55 | 67 | 75 | 68 | 24 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 65 | 42 | 99 | 78 | 68 | 62 | 69 | 70 | 34 | 67 | 70 | 66 | 25 | 46 | 46 | 69 | 75 | 68 | 20 | 550,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 67 | 43 | 90 | 80 | 75 | 72 | 96 | 77 | 32 | 69 | 66 | 67 | 38 | 82 | 87 | 67 | 75 | 68 | 33 | 750,000$/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$/3yrs | |||
![]() | 0 | C | 100.00 | 84 | 45 | 97 | 76 | 75 | 58 | 69 | 65 | 67 | 53 | 59 | 87 | 25 | 65 | 66 | 56 | 75 | 62 | 31 | 650,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 48 | 88 | 81 | 71 | 72 | 84 | 77 | 44 | 71 | 70 | 75 | 44 | 70 | 72 | 74 | 75 | 74 |
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 | 63 | 61 | 80 | 80 | 68 | 69 | 74 | 80 | 74 | 75 | 48 | 48 | 82 | 75 | 77 | 24 | 890,000$/2yrs |
![]() | 0 | 100.00 | 62 | 68 | 65 | 73 | 65 | 58 | 69 | 63 | 65 | 62 | 75 | 48 | 48 | 74 | 75 | 72 | 24 | 450,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 75 | 71 | 69 | 80 | 75 | 74 | 71 | 77 | 78 | 75 | 95 | 56 | 56 | 83 | 75 | 80 | 27 | 766,667$/2yrs |
TEAM AVERAGE | 100.00 | 70 | 67 | 65 | 78 | 73 | 67 | 70 | 71 | 74 | 70 | 82 | 51 | 51 | 80 | 75 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Sebastian Horn |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Adam Fox | ![]() | 0 | D | 11 | 3 | 8 | 11 | 0 | 6 | 0 | 15 | 21 | 6 | 8 | 14.29% | 18 | 24.34 | 2 | 2 | 4 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 |
2 | Zach Werenski | ![]() | 0 | D | 11 | 0 | 9 | 9 | -3 | 4 | 0 | 8 | 20 | 8 | 16 | 0.00% | 10 | 21.93 | 0 | 2 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
3 | Blake Coleman | ![]() | 0 | C/LW/RW | 11 | 5 | 4 | 9 | -1 | 13 | 5 | 27 | 35 | 7 | 11 | 14.29% | 1 | 18.97 | 0 | 2 | 2 | 0 | 0 | 0 | 24 | 1 | 1 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 |
4 | Nikita Kucherov | ![]() | 0 | RW | 11 | 3 | 5 | 8 | -4 | 0 | 0 | 7 | 46 | 12 | 21 | 6.52% | 0 | 19.32 | 1 | 1 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 45.45% | 33 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 |
5 | Mika Zibanejad | ![]() | 0 | C | 11 | 3 | 5 | 8 | -2 | 0 | 0 | 8 | 36 | 9 | 21 | 8.33% | 0 | 18.47 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 55.95% | 252 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 |
6 | Filip Forsberg | ![]() | 0 | C/LW/RW | 11 | 3 | 4 | 7 | -1 | 29 | 5 | 21 | 33 | 11 | 30 | 9.09% | 1 | 16.81 | 0 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 58.82% | 17 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
7 | Nikolaj Ehlers | ![]() | 0 | LW | 11 | 2 | 4 | 6 | 0 | 10 | 10 | 11 | 18 | 10 | 20 | 11.11% | 0 | 15.57 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 1 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 |
8 | William Karlsson | ![]() | 71 | C | 11 | 3 | 3 | 6 | -2 | 0 | 0 | 4 | 35 | 4 | 30 | 8.57% | 4 | 16.87 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 53.50% | 243 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 |
9 | Alex DeBrincat | ![]() | 0 | LW/RW | 11 | 2 | 3 | 5 | -3 | 4 | 0 | 9 | 27 | 12 | 26 | 7.41% | 0 | 15.95 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10.00% | 10 | 0 | 0 | 0 | 0 | 0.57 | 1 | 1 |
10 | Tommy Novak | ![]() | 0 | C | 11 | 2 | 2 | 4 | 0 | 0 | 0 | 3 | 13 | 6 | 7 | 15.38% | 1 | 11.93 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 35.71% | 140 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 |
11 | Christopher Tanev | ![]() | 0 | D | 11 | 0 | 2 | 2 | -2 | 8 | 0 | 17 | 4 | 1 | 3 | 0.00% | 13 | 21.09 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 |
12 | Noel Acciari | ![]() | 0 | C/RW | 9 | 1 | 1 | 2 | 2 | 6 | 0 | 9 | 9 | 2 | 4 | 11.11% | 6 | 13.53 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 51.47% | 68 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 |
13 | Yegor Zamula | ![]() | 0 | D | 10 | 1 | 0 | 1 | -5 | 14 | 0 | 14 | 3 | 1 | 0 | 33.33% | 6 | 17.17 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 |
14 | Nick Robertson | ![]() | 0 | LW/RW | 10 | 0 | 1 | 1 | -5 | 0 | 0 | 3 | 6 | 3 | 9 | 0.00% | 0 | 9.20 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 |
15 | Marcus Johansson | ![]() | 0 | C/LW | 2 | 1 | 0 | 1 | -2 | 0 | 0 | 1 | 2 | 0 | 2 | 50.00% | 0 | 11.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.47% | 34 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 |
16 | Dougie Hamilton | ![]() | 0 | D | 11 | 1 | 0 | 1 | -3 | 14 | 0 | 21 | 13 | 2 | 3 | 7.69% | 6 | 16.73 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 1 |
17 | Marc-Edouard Vlasic | ![]() | 0 | D | 11 | 0 | 0 | 0 | -7 | 2 | 0 | 11 | 13 | 1 | 3 | 0.00% | 19 | 16.47 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
18 | Cole Smith | ![]() | 0 | LW | 10 | 0 | 0 | 0 | -6 | 4 | 0 | 15 | 6 | 5 | 3 | 0.00% | 3 | 10.85 | 0 | 0 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
19 | Stefan Noesen | ![]() | 0 | RW | 2 | 0 | 0 | 0 | -3 | 4 | 0 | 10 | 1 | 1 | 4 | 0.00% | 0 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
20 | Parker Kelly | ![]() | 0 | C/LW | 10 | 0 | 0 | 0 | -6 | 2 | 0 | 4 | 6 | 2 | 8 | 0.00% | 0 | 8.44 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 26.09% | 92 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
21 | Kevin Rooney | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 0.00% | 0 | 8.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 197 | 30 | 51 | 81 | -53 | 120 | 20 | 219 | 349 | 104 | 230 | 8.60% | 88 | 16.34 | 7 | 12 | 19 | 305 | 0 | 0 | 0 | 283 | 2 | 1 | 46.05% | 923 | 0 | 0 | 0 | 0 | 0.50 | 1 | 3 |
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 | ![]() | 7 | 2 | 5 | 0 | 0.871 | 4.64 | 375 | 2 | 0 | 29 | 225 | 0 | 1 | 1 | 0.000 | 0 | 7 | 2 | 0 | 0 | 0 |
2 | Arvid Soderblom | ![]() | 5 | 0 | 3 | 1 | 0.900 | 3.32 | 289 | 0 | 0 | 16 | 160 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 |
Team Total or Average | 12 | 2 | 8 | 1 | 0.883 | 4.07 | 664 | 2 | 0 | 45 | 385 | 0 | 1 | 1 | 0.000 | 2 | 11 | 8 | 0 | 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 |
# | 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 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.50 | 4.50 | -2.00 | 1 | 0.250 | 2.5 | 3.0 | 5.5 | 0 | 0 | 0 | 1 | 4 | 1 | 25.5 | 14 | 12 | 25 | 3 | 36.0 | 8.5 | 9.00 | 22.5 | 2.50 | 0.50 | 20.00% | 4.50 | 1.00 | 77.78% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 21.00 | 14.50 | 29.00 | 8.00 | 12.00 | 5.00 | 36.4% | 9.8% | 87.5% | 97.3 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.00 | -3.00 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 0 | 3 | 1 | 0 | 32.0 | 25 | 17 | 22 | 0 | 42.5 | 6.5 | 19.00 | 18.0 | 4.00 | 1.00 | 25.00% | 3.50 | 1.50 | 57.14% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.50 | 15.50 | 24.00 | 7.00 | 12.50 | 5.50 | 22.2% | 6.3% | 88.2% | 94.5 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.0 | 10 | 17 | 14 | 0 | 37.0 | 5.0 | 10.00 | 17.0 | 6.00 | 0.00 | 0.00% | 5.00 | 1.00 | 80.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 27.00 | 19.00 | 21.00 | 7.00 | 11.00 | 6.00 | 33.3% | 2.4% | 91.9% | 94.3 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 1 | 0 | 2 | 2 | 4 | 0 | 38.5 | 31 | 28 | 18 | 0 | 29.5 | 9.0 | 6.00 | 24.5 | 2.50 | 1.00 | 40.00% | 2.50 | 0.50 | 80.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.00 | 15.50 | 25.00 | 7.00 | 12.50 | 6.00 | 50.0% | 10.4% | 88.1% | 98.5 | FUN |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.50 | -1.50 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 4 | 2 | 2 | 0 | 33.5 | 16 | 22 | 29 | 0 | 34.0 | 6.5 | 12.50 | 15.5 | 3.50 | 0.50 | 14.29% | 5.00 | 1.50 | 70.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.00 | 15.00 | 25.00 | 7.00 | 12.50 | 5.50 | 46.7% | 11.9% | 83.8% | 95.8 | FUN |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 3 | 0 | 1 | 0 | 24.5 | 20 | 12 | 17 | 0 | 32.5 | 11.0 | 10.50 | 21.0 | 2.50 | 0.50 | 20.00% | 4.00 | 1.00 | 75.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 23.00 | 15.50 | 24.00 | 7.00 | 12.00 | 5.50 | 37.5% | 8.2% | 89.2% | 97.4 | Unlucky |
_Vs Division | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky | |
_Vs Conference | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2.80 | 4.40 | -1.60 | 3 | 0.300 | 2.8 | 4.8 | 7.6 | 0 | 0 | 6 | 4 | 4 | 1 | 32.6 | 48 | 47 | 68 | 3 | 37.6 | 6.8 | 13.60 | 17.4 | 3.80 | 0.80 | 21.05% | 4.60 | 1.40 | 69.57% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 24.00 | 16.80 | 55.60 | 16.20 | 11.80 | 5.60 | 40.0% | 8.6% | 88.3% | 96.9 | Unlucky | |
Total | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 366 |
Neutral Zone Start | 178 |
Defensive Zone Start | 374 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 425 |
Faceoffs Lost | 493 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 0 | 2 |
Lost | 6 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 7 |
PK Attempt | 44 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 31.7 |
Shots Against | 35.1 |
Goals For | 2.7 |
Goals Against | 4.3 |
Hits | 20.0 |
Shots Blocked | 8.0 |
Pim | 11.3 |
![]() | |
Total Salaries | 82,411,667$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 53 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 15 |
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$ | 9,500,000$ | 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$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |||
Arvid Soderblom | G | 24 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
Blake Coleman | C/LW/RW | 32 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Cayden Primeau | G | 24 | 890,000$ | 890,000$ | 890,000$ | 890,000$ | RFA | |||||
Christopher Tanev | D | 34 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||||
Cole Smith | LW | 28 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
Dougie Hamilton | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||||
Filip Forsberg | C/LW/RW | 29 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA | |||
Joshua Roy | C/LW/RW | 20 | 550,000$ | 550,000$ | 550,000$ | RFA | ||||||
Kevin Rooney | C | 31 | 650,000$ | 650,000$ | 650,000$ | UFA | ||||||
Logan Thompson | G | 27 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | UFA | |||||
Marc-Edouard Vlasic | D | 37 | 450,000$ | 450,000$ | 450,000$ | UFA | ||||||
Marcus Johansson | C/LW | 33 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Mika Zibanejad | C | 31 | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | UFA | ||||
Nick Robertson | LW/RW | 22 | 796,667$ | 796,667$ | 796,667$ | RFA | ||||||
Nikita Kucherov | RW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | |||
Nikolaj Ehlers | LW | 28 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||||
Noel Acciari | C/RW | 32 | 650,000$ | 650,000$ | 650,000$ | UFA | ||||||
Parker Kelly | C/LW | 25 | 575,000$ | 575,000$ | 575,000$ | 575,000$ | RFA | |||||
Stefan Noesen | RW | 31 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Tommy Novak | C | 27 | 650,000$ | 650,000$ | 650,000$ | 650,000$ | 650,000$ | UFA | ||||
William Karlsson | C | 31 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Yegor Zamula | D | 24 | 775,000$ | 775,000$ | 775,000$ | RFA | ||||||
Zach Werenski | D | 26 | 9,583,333$ | 9,583,333$ | 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$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Arseni Gritsyuk | RW | 23 | 575,000$ | 57,500$ | 57,500$ | RFA | ||||||
Arseni Koromyslov | D | 20 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | RFA | |||||
Atro Leppanen | D | 25 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Ben Meyers | C/LW | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Brandon Bussi | G | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Cedrick Guindon | C/LW | 20 | 500,000$ | 50,000$ | 50,000$ | 50,000$ | RFA | |||||
Cole Guttman | C | 25 | 950,000$ | 95,000$ | 95,000$ | RFA | ||||||
Damir Zhafyarov | LW/RW | 30 | 650,000$ | 65,000$ | 65,000$ | 65,000$ | UFA | |||||
Dmitri Rashevsky | RW | 23 | 625,000$ | 62,500$ | 62,500$ | RFA | ||||||
Ethen Frank | C | 26 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Filip Hallander | C/LW | 24 | 525,000$ | 52,500$ | 52,500$ | RFA | ||||||
Filip Larsson | G | 25 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Jack Studnicka | C | 25 | 762,500$ | 76,250$ | 76,250$ | RFA | ||||||
Luca Del Bel Belluz | C | 20 | 725,000$ | 72,500$ | 72,500$ | 72,500$ | RFA | |||||
Lukas Cormier | D | 22 | 793,333$ | 79,333$ | 79,333$ | 79,333$ | RFA | |||||
Marcus Hardegard | D | 27 | 500,000$ | 50,000$ | 50,000$ | UFA | ||||||
Maxim Shabanov | C/RW | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | |||||
Michael Kesselring | D | 24 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | RFA | ||||
Nick Blankenburg | D | 26 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Noah Juulsen | D | 27 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | UFA | |||||
Samuel Fagemo | LW/RW | 24 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
Simon Forsmark | D | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Simon Zajicek | G | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Trey Fix-Wolansky | RW | 25 | 775,000$ | 77,500$ | 77,500$ | 77,500$ | RFA | |||||
Urho Vaakanainen | D | 25 | 850,000$ | 85,000$ | 85,000$ | RFA | ||||||
Valtteri Puustinen | LW/RW | 25 | 775,000$ | 77,500$ | 77,500$ | RFA | ||||||
William Rousseau | G | 21 | 625,000$ | 62,500$ | 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 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2.50 | 4.50 | -2.00 | 1 | 0.250 | 2.5 | 3.0 | 5.5 | 0 | 0 | 0 | 1 | 4 | 1 | 25.5 | 14 | 12 | 25 | 3 | 36.0 | 8.5 | 9.00 | 22.5 | 2.50 | 0.50 | 20.00% | 4.50 | 1.00 | 77.78% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 21.00 | 14.50 | 29.00 | 8.00 | 12.00 | 5.00 | 36.4% | 9.8% | 87.5% | 97.3 | FUN |
2 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 5.00 | -3.00 | 0 | 0.000 | 2.0 | 3.5 | 5.5 | 0 | 0 | 0 | 3 | 1 | 0 | 32.0 | 25 | 17 | 22 | 0 | 42.5 | 6.5 | 19.00 | 18.0 | 4.00 | 1.00 | 25.00% | 3.50 | 1.50 | 57.14% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.50 | 15.50 | 24.00 | 7.00 | 12.50 | 5.50 | 22.2% | 6.3% | 88.2% | 94.5 | Unlucky |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 3.00 | -2.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 0 | 1 | 0 | 0 | 41.0 | 10 | 17 | 14 | 0 | 37.0 | 5.0 | 10.00 | 17.0 | 6.00 | 0.00 | 0.00% | 5.00 | 1.00 | 80.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 27.00 | 19.00 | 21.00 | 7.00 | 11.00 | 6.00 | 33.3% | 2.4% | 91.9% | 94.3 | DULL |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 3.50 | 0.50 | 2 | 0.500 | 4.0 | 7.5 | 11.5 | 1 | 0 | 2 | 2 | 4 | 0 | 38.5 | 31 | 28 | 18 | 0 | 29.5 | 9.0 | 6.00 | 24.5 | 2.50 | 1.00 | 40.00% | 2.50 | 0.50 | 80.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.00 | 15.50 | 25.00 | 7.00 | 12.50 | 6.00 | 50.0% | 10.4% | 88.1% | 98.5 | FUN |
5 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.50 | -1.50 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 4 | 2 | 2 | 0 | 33.5 | 16 | 22 | 29 | 0 | 34.0 | 6.5 | 12.50 | 15.5 | 3.50 | 0.50 | 14.29% | 5.00 | 1.50 | 70.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.00 | 15.00 | 25.00 | 7.00 | 12.50 | 5.50 | 46.7% | 11.9% | 83.8% | 95.8 | FUN |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 3.50 | -1.50 | 2 | 0.500 | 2.0 | 3.5 | 5.5 | 0 | 0 | 3 | 0 | 1 | 0 | 24.5 | 20 | 12 | 17 | 0 | 32.5 | 11.0 | 10.50 | 21.0 | 2.50 | 0.50 | 20.00% | 4.00 | 1.00 | 75.00% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 23.00 | 15.50 | 24.00 | 7.00 | 12.00 | 5.50 | 37.5% | 8.2% | 89.2% | 97.4 | Unlucky |
_Vs Division | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky | |
_Vs Conference | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky | |
_Since Last GM Reset | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 2.80 | 4.40 | -1.60 | 3 | 0.300 | 2.8 | 4.8 | 7.6 | 0 | 0 | 6 | 4 | 4 | 1 | 32.6 | 48 | 47 | 68 | 3 | 37.6 | 6.8 | 13.60 | 17.4 | 3.80 | 0.80 | 21.05% | 4.60 | 1.40 | 69.57% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 24.00 | 16.80 | 55.60 | 16.20 | 11.80 | 5.60 | 40.0% | 8.6% | 88.3% | 96.9 | Unlucky | |
Total | 11 | 2 | 8 | 0 | 0 | 0 | 0 | 1 | 2.73 | 4.27 | -1.55 | 5 | 0.227 | 2.7 | 4.6 | 7.4 | 1 | 0 | 9 | 9 | 12 | 1 | 31.7 | 116 | 108 | 125 | 3 | 35.1 | 8.0 | 11.27 | 20.0 | 3.27 | 0.64 | 19.44% | 4.00 | 1.09 | 72.73% | 0 | 192 | 366 | 52.46% | 172 | 374 | 45.99% | 61 | 178 | 34.27% | 22.82 | 15.82 | 25.27 | 7.36 | 12.27 | 5.82 | 39.7% | 8.6% | 87.8% | 96.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 366 |
Neutral Zone Start | 178 |
Defensive Zone Start | 374 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 425 |
Faceoffs Lost | 493 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.5 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 31.7 | 30.68 |
Overtime | 32.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 22 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 0 | 2 |
Lost | 6 | 2 |
Overtime Lost | 0 | 1 |
PP Attempt | 36 |
---|---|
PP Goal | 7 |
PK Attempt | 44 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 31.7 |
Shots Against | 35.1 |
Goals For | 2.7 |
Goals Against | 4.3 |
Hits | 20.0 |
Shots Blocked | 8.0 |
Pim | 11.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | BFT5,HEL1 | RECAP | |||||||||
5 | ![]() | @ | ![]() | HEL6,BIS3 | RECAP | |||||||||
8 | ![]() | @ | ![]() | BIS4,HEL2 | RECAP | |||||||||
11 | ![]() | @ | ![]() | REV5,HEL2 | RECAP | |||||||||
14 | ![]() | @ | ![]() | HEL1,MUS3 | RECAP | |||||||||
17 | ![]() | @ | ![]() | DRA5,HEL4 | RECAP | |||||||||
19 | ![]() | @ | ![]() | HEL4,DRA6 | RECAP | |||||||||
21 | ![]() | @ | ![]() | HEL3,BFT2 | RECAP | |||||||||
24 | ![]() | @ | ![]() | MUS7,HEL3 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | TRA3,HEL1 | RECAP | |||||||||
28 | ![]() | @ | ![]() | HEL3,REV4 (SO) | RECAP | |||||||||
30 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,411,667$ | 0$ | 0$ | 83,500,000$ |
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 | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,411,667$ | 82,411,667$ | 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$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 34,347,438$ | 34,347,438$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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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 |
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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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