|
|
|
|
|
Full Scoreboard »» |
Cleveland Monsters 50-13-7, 107pts · 1st in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 80 | 33 | 87 | 68 | 77 | 74 | 90 | 61 | 55 | 62 | 68 | 57 | 64 | 69 | 68 | 0 | 87 | 75 | 26 | 800,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 37 | 87 | 61 | 84 | 77 | 90 | 60 | 60 | 62 | 62 | 69 | 61 | 71 | 69 | 0 | 88 | 73 | 27 | 1,200,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 33 | 94 | 63 | 75 | 75 | 82 | 62 | 59 | 64 | 63 | 58 | 63 | 67 | 66 | 0 | 77 | 73 | 25 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 64 | 37 | 88 | 61 | 65 | 71 | 85 | 63 | 36 | 59 | 67 | 67 | 63 | 68 | 67 | 0 | 89 | 73 | 27 | 870,000$/1yrs | |||
![]() | 24 | C | 100.00 | 72 | 44 | 84 | 60 | 67 | 75 | 75 | 60 | 79 | 58 | 66 | 62 | 63 | 76 | 74 | 0 | 89 | 72 | 30 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 39 | 88 | 64 | 76 | 69 | 76 | 63 | 48 | 60 | 66 | 60 | 63 | 58 | 56 | 0 | 80 | 72 | 22 | 855,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 77 | 44 | 85 | 55 | 70 | 73 | 81 | 60 | 75 | 60 | 60 | 65 | 60 | 76 | 75 | 0 | 78 | 71 | 31 | 900,000$/1yrs | |||
![]() | 19 | C | 100.00 | 66 | 33 | 95 | 60 | 76 | 75 | 77 | 60 | 58 | 60 | 60 | 64 | 60 | 65 | 65 | 0 | 85 | 71 | 25 | 950,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 93 | 44 | 50 | 50 | 86 | 65 | 74 | 68 | 42 | 51 | 54 | 72 | 53 | 75 | 70 | 0 | 42 | 70 | 31 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 41 | 70 | 55 | 80 | 65 | 77 | 63 | 66 | 53 | 57 | 66 | 55 | 66 | 63 | 0 | 83 | 69 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 89 | 43 | 50 | 62 | 84 | 68 | 87 | 59 | 36 | 54 | 52 | 62 | 61 | 59 | 54 | 0 | 86 | 68 | 22 | 870,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 81 | 41 | 62 | 57 | 81 | 64 | 82 | 54 | 49 | 57 | 55 | 64 | 56 | 59 | 55 | 0 | 87 | 67 | 21 | 867,500$/3yrs | |||
![]() | 15 | RW | 100.00 | 60 | 38 | 92 | 52 | 75 | 63 | 81 | 61 | 68 | 50 | 53 | 65 | 52 | 64 | 64 | 0 | 67 | 66 | 25 | 775,000$/2yrs | |||
![]() | 77 | D | 99.00 | 76 | 32 | 85 | 60 | 66 | 86 | 72 | 61 | 30 | 64 | 62 | 69 | 61 | 69 | 67 | 0 | 87 | 75 | 26 | 800,000$/2yrs | |||
![]() | 48 | D | 100.00 | 58 | 32 | 93 | 59 | 75 | 81 | 74 | 56 | 30 | 63 | 65 | 60 | 60 | 76 | 75 | 0 | 88 | 73 | 31 | 900,000$/1yrs | |||
![]() | 15 | D | 100.00 | 78 | 64 | 74 | 55 | 85 | 75 | 74 | 57 | 30 | 61 | 55 | 64 | 56 | 71 | 69 | 0 | 88 | 72 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 93 | 55 | 84 | 79 | 69 | 51 | 30 | 54 | 50 | 63 | 50 | 79 | 78 | 0 | 88 | 69 | 33 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 56 | 38 | 92 | 62 | 77 | 66 | 60 | 57 | 30 | 55 | 48 | 62 | 60 | 56 | 55 | 0 | 63 | 68 | 21 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 41 | 73 | 51 | 89 | 62 | 90 | 52 | 30 | 53 | 50 | 67 | 52 | 63 | 60 | 0 | 85 | 67 | 24 | 875,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 22 | C | 100.00 | 64 | 34 | 90 | 57 | 90 | 73 | 70 | 58 | 71 | 60 | 58 | 55 | 58 | 69 | 68 | 0 | 20 | 69 | 27 | 950,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 64 | 38 | 84 | 54 | 70 | 62 | 85 | 59 | 66 | 52 | 54 | 63 | 53 | 59 | 57 | 0 | 35 | 66 | 23 | 823,333$/1yrs | |||
![]() | 12 | LW | 100.00 | 77 | 41 | 63 | 50 | 74 | 60 | 71 | 62 | 66 | 54 | 45 | 65 | 49 | 62 | 59 | 0 | 20 | 65 | 25 | 850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 39 | 93 | 51 | 83 | 60 | 86 | 60 | 37 | 50 | 50 | 63 | 50 | 59 | 58 | 0 | 20 | 65 | 23 | 867,500$/1yrs | |||
![]() | 0 | C | 100.00 | 68 | 39 | 77 | 50 | 70 | 59 | 71 | 61 | 67 | 50 | 48 | 64 | 49 | 61 | 58 | 0 | 20 | 64 | 24 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 90 | 48 | 68 | 58 | 69 | 61 | 67 | 47 | 47 | 64 | 47 | 61 | 60 | 0 | 20 | 63 | 23 | ||||
![]() | 0 | C | 100.00 | 55 | 37 | 99 | 52 | 70 | 58 | 60 | 48 | 60 | 42 | 42 | 58 | 50 | 55 | 55 | 0 | 20 | 59 | 20 | 858,333$/2yrs | |||
![]() | 0 | D | 72.84 | 79 | 46 | 69 | 55 | 80 | 82 | 75 | 54 | 30 | 53 | 50 | 80 | 52 | 67 | 64 | 0 | 38 | 70 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 34 | 99 | 55 | 89 | 77 | 65 | 50 | 30 | 50 | 50 | 49 | 50 | 78 | 78 | 0 | 44 | 66 | 33 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 85 | 42 | 51 | 47 | 72 | 61 | 87 | 46 | 30 | 53 | 47 | 67 | 50 | 66 | 61 | 0 | 33 | 65 | 27 | 775,000$/1yrs | |||
![]() | 58 | D | 100.00 | 63 | 39 | 85 | 46 | 77 | 61 | 88 | 45 | 30 | 51 | 48 | 66 | 50 | 64 | 63 | 0 | 20 | 64 | 25 | 900,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | 100.00 | 69 | 74 | 71 | 82 | 72 | 67 | 75 | 78 | 77 | 78 | 75 | 67 | 71 | 0 | 90 | 78 | 25 | 1,050,000$/1yrs |
![]() | 45 | 100.00 | 76 | 69 | 72 | 74 | 79 | 75 | 77 | 76 | 75 | 75 | 76 | 64 | 64 | 0 | 89 | 78 | 24 | 800,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 67 | 70 | 70 | 74 | 66 | 66 | 70 | 76 | 72 | 74 | 70 | 73 | 77 | 0 | 20 | 75 | 29 | 825,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lane Lambert | 93 | 84 | 82 | 95 | 78 | 74 | 86 | CAN | 60 | 5 | 1,000,000$ |
General Manager |
---|
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jere Innala | LW | 70 | 26 | 35 | 61 | 14 | 12 | 0 | 58 | 275 | 83 | 204 | 9.45% | 19 | 19.40 | 7 | 6 | 13 | 176 | 1 | 0 | 1 | 139 | 8 | 4 | 34.39% | 378 | 0 | 0 | 0 | 0 | 0.90 | 3 | 3 | ||
2 | Christian Fischer | C/LW/RW | 60 | 20 | 32 | 52 | 25 | 30 | 0 | 113 | 207 | 54 | 135 | 9.66% | 15 | 19.59 | 3 | 8 | 11 | 95 | 0 | 0 | 0 | 114 | 4 | 4 | 45.47% | 486 | 0 | 0 | 0 | 0 | 0.89 | 0 | 1 | ||
3 | Sheldon Dries | C | 70 | 25 | 24 | 49 | 12 | 22 | 0 | 106 | 232 | 68 | 124 | 10.78% | 15 | 19.17 | 5 | 9 | 14 | 170 | 1 | 0 | 1 | 140 | 3 | 0 | 57.18% | 1726 | 0 | 0 | 0 | 0 | 0.73 | 4 | 8 | ||
4 | Cole Koepke | LW/RW | 70 | 17 | 28 | 45 | 15 | 24 | 0 | 112 | 214 | 48 | 155 | 7.94% | 7 | 17.92 | 2 | 5 | 7 | 162 | 1 | 1 | 2 | 95 | 4 | 2 | 46.44% | 295 | 0 | 0 | 1 | 0 | 0.72 | 0 | 7 | ||
5 | Nick Blankenburg | D | 66 | 8 | 35 | 43 | 6 | 56 | 0 | 158 | 113 | 34 | 89 | 7.08% | 88 | 20.06 | 6 | 6 | 12 | 173 | 0 | 2 | 2 | 143 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
6 | Nathan Walker | LW | 65 | 12 | 30 | 42 | 16 | 39 | 15 | 96 | 146 | 51 | 103 | 8.22% | 9 | 15.20 | 2 | 11 | 13 | 135 | 0 | 1 | 1 | 120 | 1 | 1 | 53.06% | 98 | 0 | 0 | 0 | 0 | 0.85 | 1 | 3 | ||
7 | Emil Bemstrom | C/RW | 59 | 17 | 24 | 41 | 5 | 4 | 0 | 12 | 152 | 54 | 123 | 11.18% | 9 | 18.86 | 3 | 9 | 12 | 176 | 1 | 0 | 1 | 93 | 2 | 3 | 48.59% | 354 | 0 | 0 | 0 | 0 | 0.74 | 1 | 5 | ||
8 | Dennis Gilbert | D | 70 | 6 | 34 | 40 | 16 | 82 | 10 | 184 | 101 | 23 | 61 | 5.94% | 75 | 20.75 | 4 | 13 | 17 | 169 | 0 | 0 | 0 | 169 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
9 | Liam Foudy | C | 67 | 19 | 16 | 35 | 24 | 16 | 0 | 47 | 152 | 48 | 100 | 12.50% | 11 | 15.01 | 0 | 0 | 0 | 16 | 0 | 1 | 1 | 12 | 2 | 1 | 47.96% | 1224 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
10 | Sandis Vilmanis | LW | 65 | 12 | 21 | 33 | 16 | 2 | 0 | 13 | 176 | 35 | 141 | 6.82% | 8 | 15.11 | 2 | 3 | 5 | 60 | 0 | 0 | 0 | 2 | 2 | 1 | 39.87% | 158 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
11 | Calle Rosen | D | 68 | 8 | 20 | 28 | 7 | 18 | 0 | 33 | 111 | 35 | 68 | 7.21% | 68 | 22.99 | 2 | 6 | 8 | 203 | 0 | 1 | 1 | 203 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
12 | Noah Philp | C | 60 | 7 | 16 | 23 | 1 | 14 | 0 | 44 | 86 | 28 | 67 | 8.14% | 13 | 11.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 1 | 51.13% | 888 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
13 | Kevin Gravel | D | 70 | 3 | 18 | 21 | 14 | 24 | 0 | 87 | 65 | 12 | 45 | 4.62% | 77 | 17.60 | 1 | 0 | 1 | 77 | 0 | 0 | 0 | 183 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
14 | Milo Roelens | C | 70 | 5 | 15 | 20 | 6 | 56 | 10 | 174 | 108 | 27 | 65 | 4.63% | 7 | 11.27 | 0 | 2 | 2 | 58 | 0 | 0 | 0 | 38 | 1 | 0 | 37.78% | 630 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | ||
15 | Jaroslav Chmelar | RW | 66 | 11 | 8 | 19 | 1 | 10 | 0 | 71 | 72 | 30 | 62 | 15.28% | 6 | 9.42 | 1 | 2 | 3 | 31 | 0 | 0 | 0 | 12 | 5 | 2 | 28.95% | 38 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
16 | Jack St. Ivany | D | 52 | 4 | 14 | 18 | 5 | 38 | 0 | 96 | 46 | 15 | 30 | 8.70% | 57 | 18.03 | 0 | 2 | 2 | 40 | 0 | 0 | 0 | 49 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
17 | Cade Webber | D | 68 | 5 | 13 | 18 | 12 | 47 | 5 | 107 | 64 | 19 | 40 | 7.81% | 80 | 17.98 | 4 | 4 | 8 | 148 | 0 | 0 | 0 | 91 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
18 | Kirill Kudryavtsev | D | 53 | 3 | 12 | 15 | 15 | 8 | 0 | 9 | 23 | 5 | 9 | 13.04% | 39 | 10.94 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
19 | Tyler Tullio | RW | 33 | 5 | 4 | 9 | 8 | 2 | 0 | 6 | 27 | 3 | 10 | 18.52% | 1 | 5.34 | 0 | 0 | 0 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | ||
20 | Shane Bowers | RW | 46 | 2 | 5 | 7 | 4 | 0 | 0 | 3 | 21 | 4 | 18 | 9.52% | 1 | 3.58 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 12 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
21 | Alex Petrovic | D | 41 | 1 | 2 | 3 | 6 | 32 | 0 | 79 | 8 | 4 | 10 | 12.50% | 20 | 14.14 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
22 | Daniel Torgersson | LW/RW | 7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 8 | 2 | 2 | 25.00% | 0 | 8.63 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
23 | Joseph LaBate | LW/RW | 4 | 1 | 0 | 1 | 1 | 6 | 0 | 15 | 8 | 2 | 8 | 12.50% | 1 | 13.57 | 1 | 0 | 1 | 10 | 0 | 0 | 0 | 5 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
24 | Matej Pekar | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1305 | 219 | 406 | 625 | 229 | 542 | 40 | 1623 | 2415 | 684 | 1669 | 9.07% | 626 | 15.83 | 43 | 86 | 129 | 1941 | 4 | 6 | 10 | 1660 | 41 | 21 | 48.65% | 6302 | 0 | 0 | 1 | 0 | 0.61 | 9 | 29 |
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 | Colten Ellis | 35 | 28 | 4 | 1 | 0.931 | 2.07 | 2026 | 0 | 2 | 70 | 1018 | 0 | 0 | 1 | 0.750 | 16 | 33 | 28 | 4 | 5 | 2 | |
2 | Daniil Tarasov | 20 | 13 | 2 | 4 | 0.921 | 2.54 | 1159 | 8 | 1 | 49 | 621 | 0 | 2 | 0 | 0.800 | 10 | 19 | 26 | 4 | 0 | 1 | |
3 | Eric Comrie | 7 | 1 | 5 | 1 | 0.899 | 3.27 | 422 | 0 | 0 | 23 | 227 | 0 | 0 | 0 | 0.000 | 0 | 7 | 5 | 0 | 0 | 1 | |
Team Total or Average | 62 | 42 | 11 | 6 | 0.924 | 2.36 | 3608 | 8 | 3 | 142 | 1866 | 0 | 2 | 1 | 0.769 | 26 | 59 | 59 | 8 | 5 | 4 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Petrovic | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cade Webber | D | 24 | 875,000$ | 875,000$ | 875,000$ | ||||||
Calle Rosen | D | 31 | 900,000$ | 900,000$ | UFA | ||||||
Christian Fischer | C/LW/RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Cole Koepke | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Colten Ellis | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Daniel Torgersson | LW/RW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Daniil Tarasov | G | 25 | 1,050,000$ | 1,050,000$ | |||||||
Dennis Gilbert | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Dmitri Samorukov | D | 25 | 900,000$ | 900,000$ | |||||||
Emil Bemstrom | C/RW | 25 | 775,000$ | 775,000$ | |||||||
Eric Comrie | G | 29 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
Fabian Wagner | C | 20 | 858,333$ | 858,333$ | 858,333$ | RFA | |||||
Jack St. Ivany | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Jaroslav Chmelar | RW | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Jere Innala | LW | 27 | 870,000$ | 870,000$ | UFA | ||||||
Joseph LaBate | LW/RW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Kevin Gravel | D | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Kirill Kudryavtsev | D | 21 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Liam Foudy | C | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Logan Brown | C | 27 | 950,000$ | 950,000$ | UFA | ||||||
Marshall Rifai | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Matej Pekar | LW | 25 | 850,000$ | 850,000$ | |||||||
Milo Roelens | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Nathan Walker | LW | 31 | 900,000$ | 900,000$ | UFA | ||||||
Nick Blankenburg | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Noah Philp | C | 26 | 775,000$ | 775,000$ | |||||||
Reece Newkirk | C | 24 | 775,000$ | 775,000$ | |||||||
Ryan Francis | C | 23 | 0$ | RFA | |||||||
Sandis Vilmanis | LW | 22 | 855,000$ | 855,000$ | 855,000$ | 855,000$ | |||||
Shane Bowers | RW | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
Sheldon Dries | C | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Tyler Tullio | RW | 23 | 823,333$ | 823,333$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 80 | 87 | 56 | 15 | 35 | 833 | 831 | 799 | 72 | 31 | 7 | 4 | 27 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 11.4% | 93.5% | 105.0 | LUCKY | |
2 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 80 | 87 | 56 | 15 | 79 | 833 | 831 | 799 | 72 | 76 | 17 | 18 | 41 | 14 | 3 | 21.43% | 8 | 3 | 62.50% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 8.9% | 90.8% | 99.7 | Unlucky | |
3 | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 9 | 5 | 8 | 1.000 | 14 | 24 | 38 | 0 | 0 | 80 | 87 | 56 | 15 | 141 | 833 | 831 | 799 | 72 | 130 | 42 | 31 | 92 | 13 | 3 | 23.08% | 13 | 4 | 69.23% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 68.8% | 9.9% | 93.1% | 103.0 | LUCKY | |
4 | 4 | 1 | 0 | 0 | 1 | 0 | 2 | 0 | 14 | 8 | 6 | 8 | 1.000 | 14 | 22 | 36 | 0 | 0 | 80 | 87 | 56 | 15 | 138 | 833 | 831 | 799 | 72 | 115 | 24 | 24 | 93 | 14 | 5 | 35.71% | 10 | 1 | 90.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 56.3% | 10.1% | 93.0% | 103.2 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 80 | 87 | 56 | 15 | 75 | 833 | 831 | 799 | 72 | 68 | 19 | 37 | 45 | 7 | 2 | 28.57% | 10 | 1 | 90.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 66.7% | 8.0% | 95.6% | 103.6 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 80 | 87 | 56 | 15 | 40 | 833 | 831 | 799 | 72 | 22 | 10 | 9 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 20.0% | 2.5% | 81.8% | 84.3 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 87 | 56 | 15 | 37 | 833 | 831 | 799 | 72 | 32 | 5 | 6 | 27 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 60.0% | 8.1% | 93.8% | 101.9 | DULL | |
8 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 9 | 6 | 1.000 | 13 | 26 | 39 | 0 | 0 | 80 | 87 | 56 | 15 | 114 | 833 | 831 | 799 | 72 | 100 | 19 | 24 | 76 | 12 | 4 | 33.33% | 10 | 1 | 90.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 75.0% | 11.4% | 96.0% | 107.4 | LUCKY | |
9 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 6 | 0.750 | 13 | 25 | 38 | 1 | 0 | 80 | 87 | 56 | 15 | 134 | 833 | 831 | 799 | 72 | 128 | 37 | 24 | 111 | 10 | 3 | 30.00% | 12 | 1 | 91.67% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 9.7% | 91.4% | 101.1 | LUCKY | |
10 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 12 | 12 | 0 | 5 | 0.625 | 12 | 18 | 30 | 0 | 0 | 80 | 87 | 56 | 15 | 138 | 833 | 831 | 799 | 72 | 148 | 43 | 34 | 101 | 15 | 4 | 26.67% | 16 | 2 | 87.50% | 1 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 44.4% | 8.7% | 91.9% | 100.6 | DULL | |
11 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 11 | 6 | 6 | 0.600 | 17 | 31 | 48 | 0 | 1 | 80 | 87 | 56 | 15 | 167 | 833 | 831 | 799 | 72 | 163 | 57 | 53 | 117 | 12 | 3 | 25.00% | 22 | 4 | 81.82% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 66.7% | 10.2% | 93.3% | 103.4 | LUCKY | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 80 | 87 | 56 | 15 | 24 | 833 | 831 | 799 | 72 | 37 | 4 | 6 | 33 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 57.1% | 16.7% | 91.9% | 108.6 | LUCKY | |
13 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 87 | 56 | 15 | 34 | 833 | 831 | 799 | 72 | 34 | 11 | 6 | 27 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 8.8% | 94.1% | 102.9 | DULL | |
14 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 80 | 87 | 56 | 15 | 36 | 833 | 831 | 799 | 72 | 28 | 10 | 8 | 20 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 60.0% | 8.3% | 92.9% | 101.2 | DULL | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 80 | 87 | 56 | 15 | 87 | 833 | 831 | 799 | 72 | 50 | 19 | 15 | 40 | 12 | 2 | 16.67% | 5 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 62.5% | 8.0% | 94.0% | 102.0 | DULL | |
16 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 2 | 0.250 | 8 | 15 | 23 | 0 | 0 | 80 | 87 | 56 | 15 | 121 | 833 | 831 | 799 | 72 | 125 | 28 | 54 | 95 | 9 | 0 | 0.00% | 17 | 3 | 82.35% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 44.4% | 6.6% | 89.6% | 96.2 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 80 | 87 | 56 | 15 | 45 | 833 | 831 | 799 | 72 | 40 | 14 | 10 | 24 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 16.7% | 2.2% | 87.5% | 89.7 | Unlucky | |
18 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 7 | 6 | 5 | 0.833 | 13 | 23 | 36 | 0 | 1 | 80 | 87 | 56 | 15 | 134 | 833 | 831 | 799 | 72 | 102 | 22 | 18 | 68 | 14 | 3 | 21.43% | 8 | 1 | 87.50% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 62.5% | 9.7% | 93.1% | 102.8 | LUCKY | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 80 | 87 | 56 | 15 | 37 | 833 | 831 | 799 | 72 | 32 | 17 | 8 | 22 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 62.5% | 13.5% | 87.5% | 101.0 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 80 | 87 | 56 | 15 | 45 | 833 | 831 | 799 | 72 | 26 | 5 | 2 | 27 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 57.1% | 11.1% | 88.5% | 99.6 | FUN | |
21 | 5 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 14 | 9 | 9 | 0.900 | 23 | 40 | 63 | 0 | 0 | 80 | 87 | 56 | 15 | 182 | 833 | 831 | 799 | 72 | 149 | 42 | 40 | 116 | 16 | 5 | 31.25% | 20 | 2 | 90.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 60.0% | 12.6% | 90.6% | 103.2 | FUN | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 80 | 87 | 56 | 15 | 27 | 833 | 831 | 799 | 72 | 36 | 7 | 10 | 27 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 3.7% | 94.4% | 98.1 | DULL | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 80 | 87 | 56 | 15 | 64 | 833 | 831 | 799 | 72 | 45 | 16 | 6 | 60 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 1 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 78.6% | 18.8% | 93.3% | 112.1 | LUCKY | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 80 | 87 | 56 | 15 | 34 | 833 | 831 | 799 | 72 | 29 | 7 | 13 | 27 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 0.0% | 2.9% | 93.1% | 96.0 | DULL | |
25 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 80 | 87 | 56 | 15 | 23 | 833 | 831 | 799 | 72 | 51 | 17 | 16 | 21 | 2 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 50.0% | 17.4% | 90.2% | 107.6 | FUN | |
26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 17 | 26 | 0 | 0 | 80 | 87 | 56 | 15 | 118 | 833 | 831 | 799 | 72 | 104 | 24 | 16 | 70 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 60.0% | 7.6% | 93.3% | 100.9 | DULL | |
27 | 4 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 12 | 9 | 3 | 7 | 0.875 | 12 | 21 | 33 | 0 | 0 | 80 | 87 | 56 | 15 | 138 | 833 | 831 | 799 | 72 | 122 | 35 | 18 | 86 | 14 | 1 | 7.14% | 9 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 55.0% | 8.7% | 92.6% | 101.3 | DULL | |
28 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 7 | -4 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 80 | 87 | 56 | 15 | 59 | 833 | 831 | 799 | 72 | 79 | 18 | 20 | 49 | 1 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 30.0% | 5.1% | 91.1% | 96.2 | Unlucky | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 80 | 87 | 56 | 15 | 52 | 833 | 831 | 799 | 72 | 22 | 8 | 4 | 25 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 66.7% | 5.8% | 95.5% | 101.2 | DULL | |
30 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 80 | 87 | 56 | 15 | 78 | 833 | 831 | 799 | 72 | 36 | 16 | 11 | 40 | 8 | 2 | 25.00% | 3 | 1 | 66.67% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 75.0% | 6.4% | 94.4% | 100.9 | DULL | |
31 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 4 | 1.000 | 7 | 12 | 19 | 0 | 2 | 80 | 87 | 56 | 15 | 70 | 833 | 831 | 799 | 72 | 60 | 16 | 28 | 58 | 5 | 0 | 0.00% | 14 | 0 | 100.00% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 100.0% | 10.0% | 100.0% | 110.0 | LUCKY | |
_Vs Division | 19 | 15 | 5 | 0 | 2 | 2 | 4 | 1 | 61 | 45 | 16 | 45 | 1.184 | 61 | 112 | 173 | 0 | 1 | 80 | 87 | 56 | 15 | 675 | 833 | 831 | 799 | 72 | 638 | 182 | 192 | 440 | 61 | 15 | 24.59% | 73 | 13 | 82.19% | 0 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 59.0% | 9.0% | 92.9% | 102.0 | LUCKY | |
_Vs Conference | 49 | 28 | 8 | 0 | 3 | 3 | 4 | 3 | 172 | 121 | 51 | 76 | 0.776 | 172 | 304 | 476 | 1 | 2 | 80 | 87 | 56 | 15 | 1729 | 833 | 831 | 799 | 72 | 1576 | 424 | 403 | 1177 | 162 | 38 | 23.46% | 168 | 23 | 86.31% | 2 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 57.8% | 9.9% | 92.3% | 102.3 | LUCKY | |
_Since Last GM Reset | 70 | 40 | 13 | 0 | 5 | 4 | 5 | 3 | 233 | 167 | 66 | 107 | 0.764 | 233 | 413 | 646 | 1 | 4 | 80 | 87 | 56 | 15 | 2506 | 833 | 831 | 799 | 72 | 2220 | 616 | 573 | 1685 | 227 | 47 | 20.70% | 240 | 29 | 87.92% | 4 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 57.4% | 9.3% | 92.5% | 101.8 | LUCKY | |
Total | 70 | 40 | 13 | 0 | 5 | 4 | 5 | 3 | 233 | 167 | 66 | 107 | 0.764 | 233 | 413 | 646 | 1 | 4 | 80 | 87 | 56 | 15 | 2506 | 833 | 831 | 799 | 72 | 2220 | 616 | 573 | 1685 | 227 | 47 | 20.70% | 240 | 29 | 87.92% | 4 | 1301 | 2633 | 49.41% | 1215 | 2487 | 48.85% | 566 | 1114 | 50.81% | 1664 | 1121 | 1653 | 546 | 941 | 471 | 57.4% | 9.3% | 92.5% | 101.8 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2633 |
Neutral Zone Start | 1114 |
Defensive Zone Start | 2487 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3082 |
Faceoffs Lost | 3152 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.9 | 9.57 |
2nd Period | 23.8 | 20.31 |
3rd Period | 35.2 | 30.68 |
Overtime | 36.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.2 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 181 |
---|---|
PP Goal | 47 |
PK Goal | 4 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 23 | 27 |
Lost | 6 | 7 |
Overtime Lost | 5 | 2 |
PP Attempt | 227 |
---|---|
PP Goal | 47 |
PK Attempt | 240 |
PK Goal Against | 29 |
Home | |
---|---|
Shots For | 35.8 |
Shots Against | 31.7 |
Goals For | 3.3 |
Goals Against | 2.4 |
Hits | 24.1 |
Shots Blocked | 8.8 |
Pim | 8.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-09 | @ | Bears0,Monsters4 | RECAP | |||||||||||
2024-10-10 | @ | Monsters5,Americans1 | RECAP | |||||||||||
2024-10-12 | @ | Bears3,Monsters4 | RECAP | |||||||||||
2024-10-15 | @ | Monsters3,Rocket4 | RECAP | |||||||||||
2024-10-16 | @ | Stars5,Monsters3 | RECAP | |||||||||||
2024-10-21 | @ | Griffins4,Monsters5 | RECAP | |||||||||||
2024-10-25 | @ | Monsters3,Silver Knights1 | RECAP | |||||||||||
2024-10-27 | @ | Comets4,Monsters5 | RECAP | |||||||||||
2024-10-29 | @ | Monsters2,Griffins4 | RECAP | |||||||||||
2024-10-31 | @ | Senators1,Monsters4 | RECAP | |||||||||||
2024-11-01 | @ | Monsters4,Comets3 | RECAP | |||||||||||
2024-11-03 | @ | Marlies2,Monsters3 (SO) | RECAP | |||||||||||
2024-11-06 | @ | Monsters1,Crunch3 | RECAP | |||||||||||
2024-11-08 | @ | Bears3,Monsters2 | RECAP | |||||||||||
2024-11-12 | @ | Monsters3,Bears4 | RECAP | |||||||||||
2024-11-13 | @ | Thunderbirds4,Monsters3 (OT) | RECAP | |||||||||||
2024-11-15 | @ | Monsters1,IceHogs2 | RECAP | |||||||||||
2024-11-17 | @ | Moose2,Monsters1 | RECAP | |||||||||||
2024-11-19 | @ | Monsters1,Wolves4 | RECAP | |||||||||||
2024-11-22 | @ | Admirals1,Monsters2 | RECAP | |||||||||||
2024-11-24 | @ | Monsters3,Marlies2 | RECAP | |||||||||||
2024-11-25 | @ | Comets1,Monsters3 | RECAP | |||||||||||
2024-11-27 | @ | Monsters4,Crunch3 | RECAP | |||||||||||
2024-11-29 | @ | Monsters2,Penguins3 (SO) | RECAP | |||||||||||
2024-12-01 | @ | Bears1,Monsters4 | RECAP | |||||||||||
2024-12-04 | @ | Monsters3,Wolf Pack1 | RECAP | |||||||||||
2024-12-05 | @ | Griffins2,Monsters4 | RECAP | |||||||||||
2024-12-09 | @ | Monsters3,Senators2 (SO) | RECAP | |||||||||||
2024-12-13 | @ | Eagles2,Monsters3 | RECAP | |||||||||||
2024-12-18 | @ | Wolf Pack2,Monsters5 | RECAP | |||||||||||
2024-12-24 | @ | Phantoms5,Monsters4 (SO) | RECAP | |||||||||||
2024-12-27 | @ | Monsters3,Phantoms2 (OT) | RECAP | |||||||||||
2024-12-28 | @ | Checkers1,Monsters4 | RECAP | |||||||||||
2024-12-31 | @ | Monsters3,Senators2 (OT) | RECAP | |||||||||||
2025-01-02 | @ | Monsters5,Admirals2 | RECAP | |||||||||||
2025-01-04 | @ | Senators3,Monsters4 (SO) | RECAP | |||||||||||
2025-01-06 | @ | Marlies4,Monsters3 (SO) | RECAP | |||||||||||
2025-01-08 | @ | Monsters1,Condors5 | RECAP | |||||||||||
2025-01-12 | @ | Rocket3,Monsters4 (OT) | RECAP | |||||||||||
2025-01-14 | @ | Monsters5,Thunderbirds3 | RECAP | |||||||||||
2025-01-16 | @ | Monsters2,Silver Knights1 | RECAP | |||||||||||
2025-01-17 | @ | Roadrunners4,Monsters5 (SO) | RECAP | |||||||||||
2025-01-23 | @ | Penguins4,Monsters1 | RECAP | |||||||||||
2025-01-25 | @ | Monsters5,Thunderbirds0 | RECAP | |||||||||||
2025-01-26 | @ | Monsters5,Americans4 | RECAP | |||||||||||
2025-01-28 | @ | Islanders1,Monsters3 | RECAP | |||||||||||
2025-01-30 | @ | Monsters3,Islanders2 | RECAP | |||||||||||
2025-02-01 | @ | Gulls5,Monsters4 (OT) | RECAP | |||||||||||
2025-02-04 | @ | Monsters4,Americans3 | RECAP | |||||||||||
2025-02-06 | @ | Monsters8,Checkers2 | RECAP | |||||||||||
2025-02-07 | @ | Wranglers2,Monsters4 | RECAP | |||||||||||
2025-02-11 | @ | Monsters3,Reign2 (OT) | RECAP | |||||||||||
2025-02-12 | @ | Stars1,Monsters3 | RECAP | |||||||||||
2025-02-15 | @ | Wolf Pack1,Monsters5 | RECAP | |||||||||||
2025-02-18 | @ | Monsters3,Marlies1 | RECAP | |||||||||||
2025-02-20 | @ | Monsters3,Rocket2 | RECAP | |||||||||||
2025-02-21 | @ | Crunch4,Monsters1 | RECAP | |||||||||||
2025-02-25 | @ | Monsters2,Rocket3 (OT) | RECAP | |||||||||||
2025-02-26 | @ | Americans5,Monsters4 (OT) | RECAP | |||||||||||
2025-02-28 | @ | Monsters3,Canucks2 (OT) | RECAP | |||||||||||
2025-03-01 | @ | Monsters5,Bruins3 | RECAP | |||||||||||
2025-03-03 | @ | Crunch3,Monsters2 | RECAP | |||||||||||
2025-03-06 | @ | Stars1,Monsters3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | Monsters4,Wild3 | RECAP | |||||||||||
2025-03-13 | @ | Monsters2,Firebirds0 | RECAP | |||||||||||
2025-03-14 | @ | Monsters2,Griffins1 | RECAP | |||||||||||
2025-03-16 | @ | Americans1,Monsters5 | RECAP | |||||||||||
2025-03-18 | @ | Monsters5,Firebirds0 | RECAP | |||||||||||
2025-03-19 | @ | Monsters2,Comets1 (SO) | RECAP | |||||||||||
2025-03-21 | @ | Barracuda1,Monsters3 | RECAP | |||||||||||
2025-03-26 | @ | |||||||||||||
2025-04-04 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,471,166$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Cleveland | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,471,166$ | 2,471,166$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,213,465$ | 13,578$ | 2,273,914$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 25 | 19,072$ | 209,792$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
209,792$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|