Monsters | |
GP: 25 | W: 13 | L: 12 GF: 81 | GA: 80 | PP%: 19.70% | PK%: 84.00% GM : Paul-André Desrochers | Morale : 50 | Team Overall : 57 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Peyton Krebs (R) | X | X | 100.00 | 63 | 41 | 88 | 80 | 66 | 68 | 69 | 74 | 48 | 71 | 62 | 63 | 25 | 51 | 51 | 0 | 50 | 63 | 0 | 20 | 2 | 894,167$ | |||
2 | Vasily Podkolzin (R) | X | 100.00 | 76 | 44 | 89 | 78 | 71 | 64 | 65 | 62 | 37 | 62 | 71 | 65 | 25 | 54 | 54 | 0 | 50 | 62 | 0 | 20 | 4 | 925,000$ | ||||
3 | Brett Seney | X | X | 100.00 | 59 | 56 | 65 | 77 | 56 | 71 | 73 | 67 | 80 | 67 | 62 | 59 | 59 | 49 | 49 | 0 | 50 | 61 | 0 | 25 | 1 | 782,500$ | |||
4 | Otto Koivula | X | X | 100.00 | 75 | 45 | 99 | 71 | 84 | 58 | 68 | 62 | 67 | 70 | 55 | 63 | 25 | 45 | 45 | 0 | 50 | 61 | 0 | 23 | 2 | 700,000$ | |||
5 | Aliaksei Protas (R) | X | 100.00 | 67 | 44 | 99 | 72 | 86 | 61 | 64 | 66 | 55 | 64 | 59 | 59 | 25 | 47 | 47 | 0 | 50 | 60 | 0 | 20 | 3 | 795,000$ | ||||
6 | Oskar Steen | X | X | 100.00 | 81 | 44 | 90 | 68 | 65 | 59 | 73 | 60 | 31 | 65 | 59 | 70 | 25 | 46 | 46 | 0 | 50 | 60 | 0 | 23 | 2 | 809,168$ | |||
7 | Paul Cotter | X | X | 100.00 | 74 | 75 | 71 | 63 | 75 | 74 | 78 | 61 | 76 | 53 | 64 | 63 | 61 | 44 | 44 | 0 | 50 | 60 | 0 | 21 | 5 | 900,000$ | |||
8 | Ben Jones | X | 100.00 | 68 | 68 | 69 | 66 | 68 | 75 | 79 | 61 | 76 | 52 | 65 | 60 | 62 | 44 | 44 | 0 | 50 | 59 | 0 | 22 | 3 | 760,000$ | ||||
9 | Marian Studenic | X | 100.00 | 71 | 42 | 93 | 72 | 62 | 59 | 66 | 61 | 31 | 56 | 57 | 75 | 25 | 47 | 47 | 0 | 50 | 59 | 0 | 22 | 2 | 750,000$ | ||||
10 | Ty Ronning | X | 100.00 | 69 | 61 | 87 | 63 | 61 | 61 | 62 | 61 | 50 | 56 | 62 | 61 | 59 | 44 | 44 | 0 | 50 | 57 | 0 | 23 | 3 | 750,833$ | ||||
11 | Curtis Hall (R) | X | 100.00 | 86 | 81 | 97 | 70 | 81 | 53 | 55 | 46 | 58 | 42 | 45 | 66 | 43 | 44 | 44 | 0 | 50 | 54 | 0 | 21 | 3 | 925,000$ | ||||
12 | Grant Mismash | X | X | 100.00 | 74 | 68 | 89 | 65 | 68 | 51 | 52 | 49 | 61 | 45 | 48 | 60 | 46 | 44 | 44 | 0 | 50 | 52 | 0 | 22 | 2 | 825,000$ | |||
13 | Vladislav Kolyachonok (R) | X | 100.00 | 77 | 44 | 93 | 77 | 71 | 69 | 64 | 63 | 25 | 45 | 48 | 75 | 25 | 46 | 46 | 0 | 50 | 63 | 0 | 20 | 3 | 795,000$ | ||||
14 | Steven Kampfer | X | 100.00 | 71 | 43 | 92 | 67 | 70 | 65 | 49 | 57 | 25 | 47 | 46 | 69 | 24 | 63 | 64 | 0 | 50 | 60 | 0 | 33 | 2 | 750,000$ | ||||
15 | Alexander Alexeyev | X | 100.00 | 80 | 80 | 79 | 71 | 80 | 62 | 66 | 49 | 25 | 43 | 39 | 63 | 37 | 44 | 44 | 0 | 50 | 58 | 0 | 21 | 3 | 863,333$ | ||||
16 | Jordan Gross | X | 100.00 | 71 | 68 | 79 | 66 | 68 | 62 | 62 | 63 | 25 | 61 | 51 | 62 | 48 | 44 | 44 | 0 | 50 | 58 | 0 | 26 | 1 | 700,000$ | ||||
17 | Brayden Pachal | X | 100.00 | 70 | 73 | 63 | 66 | 73 | 66 | 71 | 46 | 25 | 37 | 40 | 58 | 38 | 44 | 44 | 0 | 50 | 55 | 0 | 22 | 1 | 600,000$ | ||||
18 | Matthew Robertson (R) | X | 100.00 | 79 | 77 | 84 | 63 | 77 | 53 | 55 | 46 | 25 | 37 | 39 | 62 | 37 | 44 | 44 | 0 | 50 | 55 | 0 | 20 | 4 | 797,500$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Olle Lycksell (R) | X | 100.00 | 45 | 40 | 89 | 67 | 63 | 61 | 80 | 47 | 53 | 41 | 44 | 44 | 48 | 54 | 54 | 0 | 50 | 50 | 0 | 22 | 3 | 837,000$ | ||||
2 | Lucas Carlsson | X | HO | 75 | 43 | 91 | 71 | 70 | 60 | 65 | 57 | 25 | 51 | 49 | 64 | 25 | 50 | 50 | 0 | 50 | 60 | 0 | 24 | 0 | 0$ | ||||
3 | Danila Zhuravlyov (R) | X | 100.00 | 45 | 39 | 83 | 67 | 60 | 55 | 72 | 43 | 25 | 39 | 36 | 46 | 40 | 50 | 50 | 0 | 50 | 50 | 0 | 21 | 4 | 600,000$ | ||||
TEAM AVERAGE | 100.00 | 70 | 56 | 85 | 70 | 70 | 62 | 66 | 57 | 44 | 53 | 52 | 62 | 38 | 48 | 48 | 0 | 50 | 58 |
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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jon Gillies | 100.00 | 60 | 48 | 48 | 91 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 46 | 46 | 0 | 50 | 61 | 0 | 27 | 3 | 700,000$ | |
2 | Filip Larsson (R) | 100.00 | 41 | 49 | 58 | 71 | 44 | 44 | 47 | 46 | 40 | 41 | 27 | 44 | 41 | 0 | 50 | 47 | 0 | 23 | 1 | 836,666$ | |
Scratches | |||||||||||||||||||||||
1 | Tyler Parsons | 100.00 | 43 | 48 | 58 | 70 | 39 | 41 | 49 | 48 | 42 | 43 | 29 | 44 | 41 | 0 | 50 | 47 | 0 | 24 | 1 | 650,000$ | |
TEAM AVERAGE | 100.00 | 48 | 48 | 55 | 77 | 49 | 46 | 55 | 52 | 49 | 48 | 44 | 45 | 43 | 0 | 50 | 52 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Otto Koivula | Monsters (Col) | C/LW | 25 | 12 | 14 | 26 | -2 | 2 | 0 | 26 | 75 | 101 | 27 | 67 | 11.88% | 7 | 527 | 21.08 | 1 | 4 | 5 | 10 | 52 | 0 | 0 | 0 | 0 | 39 | 3 | 1 | 51.07% | 605 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 |
2 | Paul Cotter | Monsters (Col) | C/RW | 25 | 7 | 15 | 22 | -1 | 12 | 0 | 62 | 53 | 105 | 34 | 90 | 6.67% | 9 | 492 | 19.68 | 3 | 2 | 5 | 15 | 53 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 61.11% | 36 | 0 | 0 | 0 | 1 | 0.89 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 |
3 | Peyton Krebs | Monsters (Col) | C/LW | 25 | 6 | 16 | 22 | -4 | 6 | 0 | 33 | 90 | 112 | 25 | 84 | 5.36% | 5 | 627 | 25.09 | 2 | 3 | 5 | 14 | 52 | 0 | 0 | 0 | 3 | 73 | 0 | 0 | 44.00% | 775 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Vladislav Kolyachonok | Monsters (Col) | D | 25 | 6 | 14 | 20 | -1 | 16 | 0 | 62 | 37 | 58 | 19 | 37 | 10.34% | 50 | 613 | 24.55 | 2 | 4 | 6 | 22 | 53 | 0 | 0 | 0 | 0 | 59 | 2 | 0 | 0.00% | 0 | 0 | 0 | 2 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 |
5 | Brett Seney | Monsters (Col) | C/LW | 25 | 7 | 12 | 19 | -4 | 9 | 5 | 35 | 38 | 86 | 25 | 41 | 8.14% | 2 | 544 | 21.78 | 1 | 4 | 5 | 13 | 53 | 0 | 0 | 0 | 0 | 46 | 2 | 0 | 56.94% | 72 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
6 | Aliaksei Protas | Monsters (Col) | C | 25 | 7 | 10 | 17 | 6 | 4 | 0 | 9 | 48 | 81 | 20 | 63 | 8.64% | 7 | 455 | 18.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 1 | 49.66% | 145 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
7 | Oskar Steen | Monsters (Col) | C/RW | 25 | 6 | 11 | 17 | 5 | 12 | 0 | 57 | 59 | 67 | 19 | 50 | 8.96% | 5 | 406 | 16.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 30.53% | 475 | 0 | 0 | 1 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
8 | Marian Studenic | Monsters (Col) | RW | 25 | 6 | 10 | 16 | 4 | 10 | 0 | 32 | 44 | 76 | 16 | 62 | 7.89% | 3 | 381 | 15.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 20.00% | 35 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
9 | Vasily Podkolzin | Monsters (Col) | RW | 25 | 8 | 6 | 14 | -6 | 6 | 0 | 60 | 30 | 92 | 24 | 77 | 8.70% | 3 | 574 | 22.98 | 1 | 2 | 3 | 10 | 53 | 0 | 0 | 0 | 2 | 73 | 0 | 0 | 37.74% | 53 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
10 | Jordan Gross | Monsters (Col) | D | 25 | 2 | 11 | 13 | -5 | 10 | 0 | 31 | 17 | 30 | 13 | 18 | 6.67% | 41 | 549 | 21.99 | 0 | 1 | 1 | 13 | 52 | 0 | 0 | 0 | 0 | 54 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Steven Kampfer | Monsters (Col) | D | 25 | 2 | 10 | 12 | -2 | 8 | 0 | 41 | 24 | 25 | 9 | 20 | 8.00% | 40 | 615 | 24.62 | 1 | 2 | 3 | 7 | 53 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
12 | Alexander Alexeyev | Monsters (Col) | D | 25 | 2 | 7 | 9 | -3 | 37 | 5 | 67 | 16 | 22 | 12 | 19 | 9.09% | 33 | 541 | 21.64 | 0 | 0 | 0 | 7 | 52 | 0 | 0 | 0 | 0 | 47 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
13 | Grant Mismash | Monsters (Col) | C/LW | 25 | 7 | 2 | 9 | -2 | 8 | 0 | 32 | 23 | 36 | 7 | 30 | 19.44% | 4 | 487 | 19.52 | 2 | 1 | 3 | 4 | 51 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 35.90% | 39 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
14 | Brayden Pachal | Monsters (Col) | D | 25 | 1 | 4 | 5 | 4 | 12 | 0 | 45 | 7 | 13 | 5 | 11 | 7.69% | 21 | 419 | 16.78 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
15 | Matthew Robertson | Monsters (Col) | D | 25 | 1 | 2 | 3 | 5 | 4 | 0 | 42 | 9 | 15 | 6 | 10 | 6.67% | 36 | 432 | 17.29 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
16 | Ben Jones | Monsters (Col) | C | 25 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 3 | 6 | 0 | 4 | 0.00% | 0 | 54 | 2.16 | 0 | 1 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 60.00% | 30 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Ty Ronning | Monsters (Col) | RW | 25 | 1 | 0 | 1 | 2 | 2 | 0 | 8 | 4 | 10 | 3 | 3 | 10.00% | 3 | 82 | 3.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Curtis Hall | Monsters (Col) | C | 25 | 0 | 0 | 0 | 3 | 2 | 0 | 1 | 1 | 0 | 0 | 1 | 0.00% | 0 | 14 | 0.56 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 450 | 81 | 146 | 227 | 1 | 160 | 10 | 646 | 578 | 935 | 264 | 687 | 8.66% | 269 | 7819 | 17.38 | 13 | 24 | 37 | 119 | 544 | 0 | 0 | 0 | 5 | 530 | 13 | 5 | 43.64% | 2273 | 0 | 0 | 3 | 1 | 0.58 | 0 | 0 | 0 | 1 | 1 | 12 | 10 | 8 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jon Gillies | Monsters (Col) | 25 | 13 | 11 | 1 | 0.919 | 2.99 | 1588 | 2 | 1 | 79 | 976 | 0 | 0 | 1 | 0.00% | 0 | 25 | 0 | 2 | 4 | 2 |
Team Total or Average | 25 | 13 | 11 | 1 | 0.919 | 2.99 | 1588 | 2 | 1 | 79 | 976 | 0 | 0 | 1 | 0 | 25 | 0 | 2 | 4 | 2 |
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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
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Alexander Alexeyev | Monsters (Col) | D | 21 | 1999-11-15 | No | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | Link | ||||||||
Aliaksei Protas | Monsters (Col) | C | 20 | 2001-01-06 | Yes | 225 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 795,000$ | 0$ | 0$ | No | 795,000$ | 795,000$ | Link | ||||||||
Ben Jones | Monsters (Col) | C | 22 | 1999-02-25 | No | 187 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 760,000$ | 0$ | 0$ | No | 760,000$ | 760,000$ | Link | ||||||||
Brayden Pachal | Monsters (Col) | D | 22 | 1999-08-23 | No | 201 Lbs | 6 ft0 | Yes | No | No | 1 | Pro & Farm | 600,000$ | 0$ | 0$ | No | Link | ||||||||||
Brett Seney | Monsters (Col) | C/LW | 25 | 1996-02-27 | No | 156 Lbs | 5 ft9 | No | No | Yes | 1 | Pro & Farm | 782,500$ | 0$ | 0$ | No | Link | ||||||||||
Curtis Hall | Monsters (Col) | C | 21 | 2000-04-26 | Yes | 216 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Link | ||||||||
Danila Zhuravlyov | Monsters (Col) | D | 21 | 2000-04-08 | Yes | 163 Lbs | 6 ft0 | Yes | No | No | 4 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | Link | |||||||
Filip Larsson | Monsters (Col) | G | 23 | 1998-08-17 | Yes | 181 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 836,666$ | 0$ | 0$ | No | Link | ||||||||||
Grant Mismash | Monsters (Col) | C/LW | 22 | 1999-02-19 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | Link | |||||||||
Jon Gillies (1 Way Contract) | Monsters (Col) | G | 27 | 1994-01-21 | No | 223 Lbs | 6 ft6 | No | No | Yes | 3 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | ||||||||
Jordan Gross (1 Way Contract) | Monsters (Col) | D | 26 | 1995-05-09 | No | 190 Lbs | 5 ft10 | No | No | Yes | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | ||||||||||
Lucas Carlsson | Monsters (Col) | D | 24 | 1997-07-05 | No | 190 Lbs | 6 ft0 | No | No | Yes | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Marian Studenic | Monsters (Col) | RW | 22 | 1998-10-28 | No | 163 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | |||||||||
Matthew Robertson | Monsters (Col) | D | 20 | 2001-03-09 | Yes | 201 Lbs | 6 ft4 | No | No | No | 4 | Pro & Farm | 797,500$ | 0$ | 0$ | No | 797,500$ | 797,500$ | 797,500$ | Link | |||||||
Olle Lycksell | Monsters (Col) | RW | 22 | 1999-08-24 | Yes | 176 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 837,000$ | 0$ | 0$ | No | 837,000$ | 837,000$ | Link | ||||||||
Oskar Steen | Monsters (Col) | C/RW | 23 | 1998-03-09 | No | 188 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 809,168$ | 0$ | 0$ | No | 809,168$ | Link | |||||||||
Otto Koivula | Monsters (Col) | C/LW | 23 | 1998-09-01 | No | 223 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | Link | |||||||||
Paul Cotter | Monsters (Col) | C/RW | 21 | 1999-11-16 | No | 206 Lbs | 6 ft1 | Yes | No | No | 5 | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | Link | ||||||
Peyton Krebs | Monsters (Col) | C/LW | 20 | 2001-01-26 | Yes | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | Link | |||||||||
Steven Kampfer (1 Way Contract) | Monsters (Col) | D | 33 | 1988-09-24 | No | 198 Lbs | 5 ft11 | No | No | Yes | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | |||||||||
Ty Ronning | Monsters (Col) | RW | 23 | 1997-10-20 | No | 172 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 750,833$ | 0$ | 0$ | No | 750,833$ | 750,833$ | Link | ||||||||
Tyler Parsons | Monsters (Col) | G | 24 | 1997-09-17 | No | 185 Lbs | 6 ft1 | No | No | Yes | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link | ||||||||||
Vasily Podkolzin | Monsters (Col) | RW | 20 | 2001-06-24 | Yes | 190 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | Link | |||||||
Vladislav Kolyachonok | Monsters (Col) | D | 20 | 2001-05-26 | Yes | 194 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 795,000$ | 0$ | 0$ | No | 795,000$ | 795,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 22.71 | 192 Lbs | 6 ft1 | 2.42 | 747,757$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brett Seney | Peyton Krebs | Vasily Podkolzin | 40 | 1 | 2 | 2 |
2 | Grant Mismash | Otto Koivula | Paul Cotter | 30 | 1 | 2 | 2 |
3 | Aliaksei Protas | Oskar Steen | Marian Studenic | 20 | 1 | 2 | 2 |
4 | Peyton Krebs | Aliaksei Protas | Ty Ronning | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Vladislav Kolyachonok | Steven Kampfer | 40 | 1 | 2 | 2 | |
2 | Jordan Gross | Alexander Alexeyev | 30 | 1 | 2 | 2 | |
3 | Brayden Pachal | Matthew Robertson | 20 | 1 | 2 | 2 | |
4 | Vladislav Kolyachonok | Steven Kampfer | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brett Seney | Peyton Krebs | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Grant Mismash | Otto Koivula | Paul Cotter | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Vladislav Kolyachonok | Steven Kampfer | 60 | 1 | 2 | 2 | |
2 | Jordan Gross | Alexander Alexeyev | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Peyton Krebs | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Brett Seney | Otto Koivula | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Vladislav Kolyachonok | Steven Kampfer | 60 | 1 | 2 | 2 |
2 | Jordan Gross | Alexander Alexeyev | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Peyton Krebs | 60 | 1 | 2 | 2 | Vladislav Kolyachonok | Steven Kampfer | 60 | 1 | 2 | 2 |
2 | Vasily Podkolzin | 40 | 1 | 2 | 2 | Jordan Gross | Alexander Alexeyev | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Peyton Krebs | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Brett Seney | Otto Koivula | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Vladislav Kolyachonok | Steven Kampfer | 60 | 1 | 2 | 2 |
2 | Jordan Gross | Alexander Alexeyev | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Seney | Peyton Krebs | Vasily Podkolzin | Vladislav Kolyachonok | Steven Kampfer |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brett Seney | Peyton Krebs | Vasily Podkolzin | Vladislav Kolyachonok | Steven Kampfer |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ben Jones, Curtis Hall, Oskar Steen | Ben Jones, Curtis Hall | Oskar Steen |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Brayden Pachal, Matthew Robertson, Jordan Gross | Brayden Pachal | Matthew Robertson, Jordan Gross |
Penalty Shots |
---|
Peyton Krebs, Vasily Podkolzin, Brett Seney, Otto Koivula, Paul Cotter |
Goalie |
---|
#1 : Jon Gillies, #2 : Filip Larsson |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Comets | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 8 | 0.571 | 21 | 38 | 59 | 1 | 1 | 25 | 26 | 27 | 3 | 269 | 271 | 303 | 310 | 51 | 252 | 67 | 56 | 194 | 18 | 4 | 22.22% | 22 | 3 | 86.36% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 |
2 | Cougars | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 20 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 8 | 0.571 | 21 | 37 | 58 | 0 | 0 | 25 | 26 | 27 | 3 | 254 | 271 | 303 | 310 | 51 | 254 | 67 | 44 | 160 | 25 | 2 | 8.00% | 22 | 4 | 81.82% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 |
3 | Oil Kings | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 17 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 8 | 0.667 | 21 | 40 | 61 | 0 | 0 | 25 | 26 | 27 | 3 | 246 | 271 | 303 | 310 | 51 | 210 | 62 | 26 | 139 | 17 | 5 | 29.41% | 13 | 3 | 76.92% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 |
4 | Sharks | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 22 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 2 | 0.200 | 18 | 31 | 49 | 0 | 0 | 25 | 26 | 27 | 3 | 166 | 271 | 303 | 310 | 51 | 261 | 73 | 36 | 153 | 6 | 2 | 33.33% | 18 | 2 | 88.89% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 |
Total | 25 | 13 | 12 | 0 | 0 | 0 | 0 | 0 | 81 | 80 | 1 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 37 | 36 | 1 | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 44 | 0 | 26 | 0.520 | 81 | 146 | 227 | 1 | 1 | 25 | 26 | 27 | 3 | 935 | 271 | 303 | 310 | 51 | 977 | 269 | 162 | 646 | 66 | 13 | 19.70% | 75 | 12 | 84.00% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 | |
_Since Last GM Reset | 25 | 13 | 12 | 0 | 0 | 0 | 0 | 0 | 81 | 80 | 1 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 37 | 36 | 1 | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 44 | 0 | 26 | 0.520 | 81 | 146 | 227 | 1 | 1 | 25 | 26 | 27 | 3 | 935 | 271 | 303 | 310 | 51 | 977 | 269 | 162 | 646 | 66 | 13 | 19.70% | 75 | 12 | 84.00% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 | |
_Vs Conference | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 63 | 58 | 5 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 30 | 1 | 24 | 0.600 | 63 | 115 | 178 | 1 | 1 | 25 | 26 | 27 | 3 | 769 | 271 | 303 | 310 | 51 | 716 | 196 | 126 | 493 | 60 | 11 | 18.33% | 57 | 10 | 82.46% | 0 | 413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% | 631 | 434 | 613 | 193 | 345 | 175 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
25 | 26 | L3 | 81 | 146 | 227 | 935 | 977 | 269 | 162 | 646 | 1 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 13 | 12 | 0 | 0 | 0 | 0 | 81 | 80 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 6 | 6 | 0 | 0 | 0 | 0 | 37 | 36 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 7 | 6 | 0 | 0 | 0 | 0 | 44 | 44 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 6 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
66 | 13 | 19.70% | 75 | 12 | 84.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
271 | 303 | 310 | 51 | 25 | 26 | 27 | 3 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
413 | 922 | 44.79% | 405 | 920 | 44.02% | 174 | 431 | 40.37% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
631 | 434 | 613 | 193 | 345 | 175 |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2023-04-18 | 7 | Monsters | 5 | Oil Kings | 2 | AW | BoxScore | |||
4 - 2023-04-20 | 15 | Monsters | 3 | Oil Kings | 2 | AW | BoxScore | |||
6 - 2023-04-22 | 23 | Oil Kings | 3 | Monsters | 0 | BL | BoxScore | |||
8 - 2023-04-24 | 31 | Oil Kings | 1 | Monsters | 5 | BW | BoxScore | |||
10 - 2023-04-26 | 39 | Monsters | 1 | Oil Kings | 4 | AL | BoxScore | |||
12 - 2023-04-28 | 47 | Oil Kings | 5 | Monsters | 7 | BW | BoxScore | |||
16 - 2023-05-02 | 60 | Monsters | 0 | Cougars | 2 | AL | BoxScore | |||
18 - 2023-05-04 | 64 | Monsters | 4 | Cougars | 2 | AW | BoxScore | |||
20 - 2023-05-06 | 68 | Cougars | 4 | Monsters | 5 | BW | X | BoxScore | ||
22 - 2023-05-08 | 72 | Cougars | 4 | Monsters | 2 | BL | BoxScore | |||
24 - 2023-05-10 | 76 | Monsters | 4 | Cougars | 3 | AW | BoxScore | |||
26 - 2023-05-12 | 80 | Cougars | 4 | Monsters | 3 | BL | BoxScore | |||
28 - 2023-05-14 | 84 | Monsters | 3 | Cougars | 1 | AW | BoxScore | |||
30 - 2023-05-16 | 86 | Comets | 1 | Monsters | 3 | BW | BoxScore | |||
32 - 2023-05-18 | 88 | Comets | 0 | Monsters | 2 | BW | BoxScore | |||
34 - 2023-05-20 | 90 | Monsters | 4 | Comets | 2 | AW | BoxScore | |||
36 - 2023-05-22 | 92 | Monsters | 3 | Comets | 6 | AL | BoxScore | |||
38 - 2023-05-24 | 94 | Comets | 4 | Monsters | 2 | BL | BoxScore | |||
40 - 2023-05-26 | 96 | Monsters | 4 | Comets | 6 | AL | BoxScore | |||
42 - 2023-05-28 | 98 | Comets | 2 | Monsters | 3 | BW | X | BoxScore | ||
43 - 2023-05-29 | 99 | Monsters | 5 | Sharks | 6 | AL | X | BoxScore | ||
44 - 2023-05-30 | 100 | Monsters | 4 | Sharks | 3 | AW | X | BoxScore | ||
45 - 2023-05-31 | 101 | Sharks | 4 | Monsters | 3 | BL | BoxScore | |||
46 - 2023-06-01 | 102 | Sharks | 4 | Monsters | 2 | BL | BoxScore | |||
47 - 2023-06-02 | 103 | Monsters | 4 | Sharks | 5 | AL | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 24,000 | 11,974 |
Attendance PCT | 100.00% | 99.78% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
29 | 2998 - 99.93% | 84,968$ | 1,019,610$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,579,617$ | 1,579,617$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|