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Full Scoreboard >> |
![]() | Cologne Hellcats 0-1-0, 0pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 71 | C | 100.00 | 43 | 39 | 69 | 19 | 68 | 81 | 79 | 99 | 90 | 99 | 86 | 53 | 63 | 83 | 90 | 87 | 75 | 87 | 33 | 15,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 36 | 37 | 77 | 16 | 56 | 79 | 92 | 99 | 25 | 99 | 86 | 62 | 63 | 70 | 74 | 87 | 75 | 87 | 27 | 9,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 39 | 83 | 20 | 60 | 67 | 76 | 89 | 35 | 84 | 94 | 55 | 25 | 52 | 52 | 81 | 75 | 81 | 24 | 450,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 40 | 80 | 29 | 66 | 79 | 93 | 75 | 96 | 88 | 78 | 96 | 25 | 65 | 65 | 81 | 75 | 81 | 27 | 3,083,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 36 | 50 | 80 | 19 | 56 | 74 | 84 | 84 | 25 | 85 | 86 | 59 | 25 | 65 | 67 | 80 | 75 | 80 | 24 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 53 | 77 | 23 | 68 | 78 | 89 | 80 | 80 | 82 | 85 | 56 | 41 | 76 | 79 | 79 | 75 | 79 | 28 | 5,125,500$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 43 | 39 | 87 | 27 | 66 | 70 | 68 | 77 | 55 | 84 | 81 | 78 | 25 | 47 | 47 | 78 | 75 | 78 | 25 | 925,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 49 | 80 | 23 | 70 | 76 | 81 | 81 | 34 | 83 | 85 | 55 | 70 | 70 | 72 | 77 | 75 | 77 | 25 | 6,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 55 | 57 | 82 | 31 | 63 | 72 | 91 | 74 | 29 | 83 | 81 | 66 | 25 | 61 | 62 | 74 | 75 | 74 | 23 | 863,333$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 46 | 46 | 84 | 29 | 49 | 76 | 93 | 76 | 35 | 83 | 82 | 56 | 38 | 65 | 65 | 74 | 75 | 74 | 22 | 778,333$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 40 | 87 | 39 | 70 | 68 | 83 | 66 | 68 | 76 | 80 | 79 | 25 | 62 | 63 | 73 | 75 | 73 | 24 | 694,167$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 39 | 38 | 82 | 37 | 64 | 63 | 67 | 71 | 42 | 79 | 83 | 58 | 25 | 47 | 47 | 71 | 75 | 71 | 20 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 43 | 38 | 77 | 41 | 64 | 89 | 86 | 84 | 25 | 89 | 74 | 90 | 79 | 80 | 81 | 82 | 75 | 82 | 36 | 7,300,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 41 | 83 | 37 | 85 | 86 | 89 | 87 | 25 | 85 | 80 | 80 | 45 | 68 | 71 | 82 | 75 | 82 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 39 | 39 | 85 | 37 | 70 | 89 | 90 | 86 | 25 | 83 | 81 | 81 | 25 | 64 | 65 | 81 | 75 | 81 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 36 | 37 | 80 | 34 | 58 | 76 | 69 | 95 | 25 | 99 | 75 | 68 | 25 | 52 | 52 | 81 | 75 | 81 | 22 | 925,000$/3yrs | |||
![]() | 0 | D | 100.00 | 39 | 38 | 80 | 41 | 63 | 80 | 93 | 83 | 25 | 90 | 75 | 70 | 25 | 60 | 61 | 75 | 75 | 75 | 24 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 96 | 63 | 68 | 44 | 70 | 74 | 70 | 81 | 25 | 80 | 77 | 70 | 25 | 66 | 67 | 74 | 75 | 74 | 30 | 1,350,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 14 | C/LW/RW | 100.00 | 87 | 68 | 75 | 46 | 67 | 62 | 89 | 59 | 55 | 71 | 77 | 75 | 63 | 66 | 67 | 70 | 75 | 70 | 29 | 625,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 96 | 89 | 55 | 45 | 64 | 51 | 54 | 71 | 25 | 71 | 79 | 46 | 25 | 66 | 67 | 66 | 75 | 66 | 30 | 450,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 55 | 47 | 79 | 32 | 65 | 75 | 82 | 81 | 42 | 85 | 81 | 68 | 38 | 64 | 66 | 78 | 75 | 78 |
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 | 83 | 73 | 72 | 82 | 99 | 95 | 82 | 98 | 99 | 97 | 88 | 69 | 74 | 78 | 75 | 78 | 35 | 6,600,000$/1yrs |
![]() | 0 | 100.00 | 77 | 70 | 69 | 83 | 96 | 90 | 84 | 95 | 99 | 93 | 95 | 65 | 66 | 77 | 75 | 77 | 33 | 2,300,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 80 | 72 | 71 | 83 | 98 | 93 | 83 | 97 | 99 | 95 | 92 | 67 | 70 | 78 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 83 | 94 | 88 | 79 | 81 | 76 | 67 | CAN | 54 | 4 | 0$ |
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 | Yevgeni Malkin | ![]() | 71 | C | 1 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 50.00% | 0 | 19.78 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 62.07% | 29 | 0 | 0 | 0 | 0 | 4.04 | 0 | 0 |
2 | Nikita Kucherov | ![]() | 0 | RW | 1 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 40.00% | 0 | 19.78 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 4.04 | 0 | 0 |
3 | Mark Giordano | ![]() | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 21.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.92 | 0 | 0 |
4 | Brayden Schenn | ![]() | 0 | C/LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0.00% | 0 | 19.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 |
5 | Adam Fox | ![]() | 0 | D | 1 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 2 | 22.40 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 |
6 | Dominik Kubalik | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 4 | 0.00% | 0 | 17.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
7 | Nikolaj Ehlers | ![]() | 0 | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 4 | 0.00% | 0 | 18.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
8 | Kasperi Kapanen | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 7.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
9 | Travis Sanheim | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 13.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
10 | Zach Werenski | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 1 | 0.00% | 5 | 23.28 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
11 | Filip Forsberg | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 5 | 0 | 3 | 0.00% | 0 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
12 | Mark Borowiecki | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 1 | 1 | 0 | 0.00% | 2 | 15.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
13 | Colton Parayko | ![]() | 0 | D | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 1 | 1 | 0.00% | 2 | 22.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
14 | Phillip Danault | ![]() | 0 | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0.00% | 0 | 19.70 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 73.68% | 19 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
15 | Jason Dickinson | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 2 | 0 | 1 | 0.00% | 0 | 14.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
16 | Alex DeBrincat | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 1 | 1 | 0 | 2 | 0.00% | 0 | 6.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 |
17 | Ilya Mikheyev | ![]() | 0 | LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 1 | 1 | 1 | 0.00% | 0 | 15.03 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 1 | 0 | 0 | 0.00 | 0 | 0 |
18 | Alexandre Texier | ![]() | 0 | C/LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 6.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 18 | 4 | 7 | 11 | -15 | 4 | 0 | 18 | 27 | 13 | 24 | 14.81% | 12 | 16.54 | 2 | 3 | 5 | 16 | 0 | 0 | 0 | 9 | 0 | 0 | 55.07% | 69 | 4 | 3 | 0 | 0 | 0.74 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Corey Crawford | ![]() | 1 | 0 | 1 | 0 | 0.824 | 6.00 | 60 | 0 | 0 | 6 | 34 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 1 | 0 | 1 | 0 | 0.824 | 6.00 | 60 | 0 | 0 | 6 | 34 | 12 | 0 | 0 | 0.000 | 0 | 1 | 0 | 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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 21 |
Neutral Zone Start | 22 |
Defensive Zone Start | 26 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 38 |
Faceoffs Lost | 31 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.0 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 27.0 | 30.68 |
Overtime | 27.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 2 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 27.0 |
Shots Against | 34.0 |
Goals For | 4.0 |
Goals Against | 6.0 |
Hits | 18.0 |
Shots Blocked | 12.0 |
Pim | 4.0 |
![]() | |
Total Salaries | 72,912,781$ |
Projected Total Cap Hit | 72,912,831$ |
Projected Cap Space | 6,087,169$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 762,452$ |
Players Signed (45 – 55) | 54 |
Goalies Signed (min. 6) | 7 |
Defensemen Signed (min. 16) | 16 |
LTIR Players | 0 |
Hellcats Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 22 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Alex DeBrincat | LW/RW | 22 | 778,333$ | 769,963$ | 778,333$ | 778,333$ | 778,333$ | RFA | ||||
Alexandre Texier | C/LW | 20 | 725,000$ | 717,204$ | 725,000$ | RFA | ||||||
Brayden Schenn | C/LW/RW | 28 | 5,125,500$ | 5,070,387$ | 5,125,500$ | UFA | ||||||
Chris Wagner | C/LW/RW | 29 | 625,000$ | 618,279$ | 625,000$ | 625,000$ | UFA | |||||
Colton Parayko | D | 27 | 5,500,000$ | 5,440,860$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Corey Crawford | G | 35 | 6,600,000$ | 6,529,032$ | 6,600,000$ | UFA | ||||||
Dominik Kubalik | LW/RW | 24 | 450,000$ | 445,161$ | 450,000$ | RFA | ||||||
Filip Forsberg | LW/RW | 25 | 6,000,000$ | 5,935,483$ | 6,000,000$ | 6,000,000$ | RFA | |||||
Ilya Mikheyev | LW/RW | 25 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | 925,000$ | UFA | ||||
Jason Dickinson | C/LW | 24 | 694,167$ | 686,702$ | 694,167$ | RFA | ||||||
Kasperi Kapanen | LW/RW | 23 | 863,333$ | 854,049$ | 863,333$ | 863,333$ | RFA | |||||
Mark Borowiecki | D | 30 | 1,350,000$ | 1,335,483$ | 1,350,000$ | 1,350,000$ | UFA | |||||
Mark Giordano | D | 36 | 7,300,000$ | 7,221,505$ | 7,300,000$ | UFA | ||||||
Nikita Kucherov | RW | 27 | 9,500,000$ | 9,397,849$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Nikolaj Ehlers | LW | 24 | 925,000$ | 915,053$ | 925,000$ | RFA | ||||||
Phillip Danault | C | 27 | 3,083,333$ | 3,050,178$ | 3,083,333$ | 3,083,333$ | UFA | |||||
Thomas Greiss | G | 33 | 2,300,000$ | 2,275,268$ | 2,300,000$ | UFA | ||||||
Travis Sanheim | D | 24 | 863,333$ | 854,049$ | 863,333$ | 863,333$ | RFA | |||||
Yevgeni Malkin | C | 33 | 15,000,000$ | 14,838,709$ | 15,000,000$ | 15,000,000$ | 15,000,000$ | UFA | ||||
Zac Rinaldo | LW/RW | 30 | 450,000$ | 445,161$ | 450,000$ | UFA | ||||||
Zach Werenski | D | 22 | 925,000$ | 915,053$ | 925,000$ | 925,000$ | RFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 39 |
Season 40 |
Season 41 |
Season 42 |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Poturalski | C/RW | 26 | 700,000$ | 69,282$ | 70,000$ | RFA | ||||||
Brinson Pasichnuk | D | 22 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Carl Dahlstrom | D | 25 | 750,333$ | 74,264$ | 75,033$ | RFA | ||||||
Cayden Primeau | G | 20 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Chase Priskie | D | 24 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Cole Guttman | C | 21 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Collin Delia | G | 26 | 1,000,000$ | 98,974$ | 100,000$ | 100,000$ | 100,000$ | UFA | ||||
Connor Mackey | D | 23 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Filip Hallander | C | 20 | 625,000$ | 61,859$ | 62,500$ | 62,500$ | RFA | |||||
Garrett Pilon | C | 22 | 745,000$ | 73,736$ | 74,500$ | RFA | ||||||
Grant Hutton | D | 24 | 925,000$ | 91,551$ | 92,500$ | RFA | ||||||
Igor Shvyryov | C | 21 | 775,833$ | 76,788$ | 77,583$ | 77,583$ | RFA | |||||
Ilya Konovalov | G | 21 | 450,000$ | 44,538$ | 45,000$ | 45,000$ | RFA | |||||
Jack Studnicka | C | 21 | 625,000$ | 61,859$ | 62,500$ | RFA | ||||||
Jakob Lilja | LW | 26 | 792,500$ | 78,437$ | 79,250$ | 79,250$ | UFA | |||||
Jan Drozg | LW | 21 | 475,000$ | 47,013$ | 47,500$ | RFA | ||||||
Jesperi Kotkaniemi | C | 19 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Joseph Duszak | D | 22 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Julien Gauthier | RW | 22 | 863,333$ | 85,448$ | 86,333$ | 86,333$ | 86,333$ | RFA | ||||
Luke Green | D | 22 | 733,333$ | 72,581$ | 73,333$ | RFA | ||||||
Mathias Emilio Pettersen | C | 20 | 550,000$ | 54,436$ | 55,000$ | 55,000$ | RFA | |||||
Oliwer Kaski | D | 24 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Oula Palve | C | 28 | 450,000$ | 44,538$ | 45,000$ | UFA | ||||||
Ryan Kuffner | LW | 24 | 450,000$ | 44,538$ | 45,000$ | RFA | ||||||
Samuel Fagemo | LW/RW | 20 | 500,000$ | 49,487$ | 50,000$ | 50,000$ | RFA | |||||
Serron Noel | RW | 19 | 725,000$ | 71,756$ | 72,500$ | 72,500$ | RFA | |||||
Spencer Martin | G | 25 | 728,333$ | 72,086$ | 72,833$ | RFA | ||||||
Trey Fix-Wolansky | RW | 21 | 500,000$ | 49,487$ | 50,000$ | 50,000$ | RFA | |||||
Tyler Parsons | G | 22 | 759,167$ | 75,138$ | 75,917$ | RFA | ||||||
Urho Vaakanainen | D | 21 | 875,000$ | 86,603$ | 87,500$ | RFA | ||||||
Yegor Zamula | D | 20 | 475,000$ | 47,013$ | 47,500$ | 47,500$ | RFA | |||||
Zack MacEwen | RW | 23 | 450,000$ | 44,538$ | 45,000$ | RFA |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN | |
_Since Last GM Reset | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN | |
Total | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 27 | 7 | 9 | 11 | 0 | 34 | 12 | 4 | 18 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 15 | 21 | 71.43% | 10 | 26 | 38.46% | 13 | 22 | 59.09% | 21 | 13 | 21 | 8 | 16 | 8 | 28.6% | 14.8% | 82.4% | 97.2 | FUN |
Puck Time | |
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Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 21 |
Neutral Zone Start | 22 |
Defensive Zone Start | 26 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 38 |
Faceoffs Lost | 31 |
Team Average Shots after | League Average Shots after | |
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1st Period | 7.0 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 27.0 | 30.68 |
Overtime | 27.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.0 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 2 |
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PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 2 |
PK Attempt | 2 |
PK Goal Against | 1 |
Home | |
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Shots For | 27.0 |
Shots Against | 34.0 |
Goals For | 4.0 |
Goals Against | 6.0 |
Hits | 18.0 |
Shots Blocked | 12.0 |
Pim | 4.0 |
Date | Matchup | Result | Detail | |||||||||||
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Sun, Jan 24 | ![]() | @ | ![]() | HEL4,SLA6 | RECAP | |||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
70,907,999$ | 0$ | 72,912,831$ | 6,087,169$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
70,907,999$ | 70,907,999$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
762,452$ | 381,226$ | 762,452$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 381,226$ | 70,145,584$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
72,129,817$ | 72,912,831$ | 47,719,529$ | -24,410,288$ |
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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2021 | ![]() | ![]() | ![]() | ||||
2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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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Alexei Tsyplakov | ![]() | 2019 | 182 | ||
Anttoni Honka | ![]() | 2019 | 74 | ||
Elliot Desnoyers | ![]() | 2020 | 107 | ||
Filip Lindberg | ![]() | 2019 | 186 | ||
James Hardie | ![]() | 2020 | 163 | ||
Lukas Cormier | ![]() | 2020 | 51 | ||
Nicholas Robertson | ![]() | 2019 | 42 | ||
Nikola Pasic | ![]() | 2019 | 126 | ||
Sean Farrell | ![]() | 2020 | 128 | ||
Valtteri Puustinen | ![]() | 2019 | 154 | ||
Veeti Miettinen | ![]() | 2020 | 110 |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2021 | ![]() | ![]() | ![]() | ||||
2022 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() | |
2023 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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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Alexei Tsyplakov | ![]() | 2019 | 182 | ||
Anttoni Honka | ![]() | 2019 | 74 | ||
Elliot Desnoyers | ![]() | 2020 | 107 | ||
Filip Lindberg | ![]() | 2019 | 186 | ||
James Hardie | ![]() | 2020 | 163 | ||
Lukas Cormier | ![]() | 2020 | 51 | ||
Nicholas Robertson | ![]() | 2019 | 42 | ||
Nikola Pasic | ![]() | 2019 | 126 | ||
Sean Farrell | ![]() | 2020 | 128 | ||
Valtteri Puustinen | ![]() | 2019 | 154 | ||
Veeti Miettinen | ![]() | 2020 | 110 |
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