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Full Scoreboard »» |
| Cleveland Monsters 14-7-2, 30pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Dries | 24 | C | 99.00 | 68 | 39 | 77 | 57 | 67 | 71 | 74 | 68 | 74 | 57 | 64 | 72 | 60 | 77 | 75 | 0 | 51 | 73 | 31 | 800,000$/1yrs | |||
Logan Brown | 22 | C | 100.00 | 64 | 41 | 85 | 59 | 93 | 70 | 67 | 64 | 68 | 62 | 60 | 68 | 61 | 70 | 69 | 0 | 40 | 73 | 27 | 775,000$/1yrs | |||
Connor Dewar | 0 | LW | 99.00 | 80 | 40 | 88 | 60 | 69 | 75 | 84 | 58 | 75 | 59 | 62 | 76 | 60 | 68 | 67 | 0 | 51 | 73 | 26 | 1,250,000$/3yrs | |||
Viljami Marjala (R) | 0 | C/LW | 100.00 | 59 | 37 | 94 | 65 | 71 | 70 | 88 | 67 | 45 | 71 | 58 | 61 | 64 | 61 | 61 | 0 | 51 | 73 | 22 | 872,500$/2yrs | |||
Cole Koepke | 0 | LW/RW | 100.00 | 83 | 36 | 91 | 60 | 77 | 74 | 88 | 57 | 55 | 58 | 64 | 61 | 60 | 70 | 69 | 0 | 51 | 72 | 27 | 800,000$/1yrs | |||
Jack Devine (R) | 0 | RW | 100.00 | 70 | 39 | 75 | 61 | 71 | 68 | 94 | 60 | 45 | 63 | 57 | 64 | 60 | 59 | 57 | 0 | 51 | 70 | 22 | 950,000$/3yrs | |||
Jack Williams | 0 | LW/RW | 100.00 | 69 | 39 | 77 | 60 | 71 | 68 | 89 | 57 | 37 | 60 | 60 | 65 | 60 | 63 | 61 | 0 | 51 | 70 | 23 | 923,750$/1yrs | |||
Alex Bump (R) | 0 | LW | 100.00 | 59 | 39 | 88 | 61 | 75 | 67 | 93 | 58 | 37 | 56 | 61 | 63 | 60 | 59 | 58 | 0 | 51 | 69 | 22 | 950,000$/3yrs | |||
Shane Bowers | 15 | RW | 100.00 | 62 | 38 | 88 | 53 | 73 | 64 | 67 | 64 | 35 | 54 | 54 | 68 | 54 | 68 | 67 | 0 | 51 | 68 | 26 | 775,000$/1yrs | |||
Liam Foudy | 19 | C | 100.00 | 62 | 33 | 95 | 55 | 76 | 72 | 67 | 58 | 55 | 63 | 50 | 56 | 54 | 66 | 66 | 0 | 51 | 68 | 25 | 950,000$/1yrs | |||
Tyler Tullio (R) | 0 | RW | 100.00 | 70 | 40 | 75 | 55 | 72 | 64 | 67 | 61 | 38 | 56 | 54 | 64 | 55 | 63 | 60 | 0 | 51 | 68 | 23 | 800,000$/1yrs | |||
Milo Roelens | 0 | C | 100.00 | 73 | 42 | 70 | 54 | 91 | 62 | 66 | 60 | 61 | 51 | 55 | 64 | 53 | 61 | 58 | 0 | 51 | 67 | 22 | 870,000$/1yrs | |||
Jack St. Ivany | 0 | D | 99.00 | 79 | 46 | 69 | 55 | 80 | 82 | 71 | 55 | 30 | 55 | 50 | 80 | 53 | 68 | 65 | 0 | 51 | 71 | 26 | 800,000$/1yrs | |||
Alex Petrovic | 0 | D | 99.00 | 72 | 41 | 72 | 51 | 87 | 67 | 67 | 50 | 30 | 57 | 52 | 75 | 55 | 80 | 78 | 0 | 51 | 70 | 33 | 800,000$/1yrs | |||
Kevin Gravel | 0 | D | 100.00 | 63 | 40 | 87 | 49 | 85 | 66 | 66 | 48 | 30 | 54 | 52 | 75 | 53 | 80 | 79 | 0 | 48 | 69 | 33 | 800,000$/1yrs | |||
Dysin Mayo | 0 | D | 100.00 | 81 | 41 | 55 | 50 | 74 | 66 | 67 | 49 | 30 | 56 | 53 | 71 | 54 | 73 | 69 | 0 | 51 | 69 | 29 | 850,000$/2yrs | |||
Caleb MacDonald | 0 | D | 100.00 | 84 | 44 | 59 | 52 | 99 | 63 | 88 | 52 | 30 | 54 | 53 | 65 | 53 | 61 | 57 | 0 | 48 | 68 | 23 | 922,500$/2yrs | |||
Marshall Rifai | 0 | D | 100.00 | 80 | 42 | 58 | 50 | 80 | 64 | 66 | 48 | 30 | 55 | 51 | 69 | 53 | 70 | 66 | 0 | 51 | 67 | 27 | 775,000$/2yrs | |||
Kirill Kudryavtsev (R) | 0 | D | 100.00 | 62 | 39 | 88 | 52 | 76 | 63 | 66 | 50 | 30 | 57 | 52 | 63 | 55 | 59 | 58 | 0 | 51 | 67 | 21 | 850,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Luke Glendening | 0 | C/LW/RW | 100.00 | 73 | 34 | 89 | 55 | 73 | 74 | 90 | 55 | 85 | 53 | 60 | 76 | 58 | 86 | 85 | 0 | 30 | 71 | 36 | 1,000,000$/1yrs | |||
Emil Bemstrom | 0 | C/RW | 100.00 | 64 | 33 | 93 | 59 | 76 | 73 | 76 | 59 | 59 | 60 | 62 | 57 | 60 | 68 | 67 | 0 | 20 | 71 | 26 | 800,000$/2yrs | |||
Reece Newkirk | 0 | C | 100.00 | 68 | 39 | 77 | 53 | 70 | 63 | 65 | 62 | 39 | 54 | 52 | 66 | 53 | 64 | 62 | 0 | 28 | 67 | 24 | 775,000$/1yrs | |||
Jaroslav Chmelar (R) | 0 | RW | 100.00 | 81 | 41 | 62 | 57 | 81 | 64 | 82 | 54 | 49 | 57 | 55 | 64 | 56 | 59 | 55 | 0 | 20 | 67 | 22 | 867,500$/2yrs | |||
Noah Philp | 0 | C | 100.00 | 68 | 33 | 95 | 55 | 80 | 71 | 67 | 50 | 74 | 60 | 50 | 57 | 50 | 69 | 68 | 0 | 20 | 66 | 27 | 775,000$/1yrs | |||
Daniel Torgersson (R) | 0 | LW/RW | 100.00 | 61 | 40 | 89 | 52 | 86 | 62 | 65 | 62 | 45 | 53 | 51 | 65 | 52 | 63 | 61 | 0 | 20 | 66 | 23 | 775,000$/1yrs | |||
Fabian Wagner (R) | 0 | C | 100.00 | 61 | 38 | 89 | 55 | 69 | 62 | 66 | 59 | 43 | 52 | 55 | 63 | 54 | 59 | 58 | 0 | 20 | 66 | 21 | 858,333$/1yrs | |||
Ryan Francis (R) | 0 | C | 100.00 | 60 | 38 | 90 | 48 | 68 | 58 | 69 | 61 | 67 | 47 | 47 | 64 | 47 | 61 | 60 | 0 | 20 | 63 | 23 | 775,000$/1yrs | |||
Cade Webber (R) | 0 | D | 100.00 | 67 | 41 | 80 | 47 | 90 | 62 | 65 | 47 | 30 | 52 | 51 | 66 | 51 | 64 | 62 | 0 | 20 | 65 | 24 | 875,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Colten Ellis | 45 | 99.00 | 75 | 70 | 72 | 74 | 79 | 76 | 77 | 75 | 76 | 74 | 76 | 67 | 67 | 0 | 54 | 78 | 25 | 800,000$/1yrs |
Isak Posch | 0 | 100.00 | 73 | 74 | 69 | 87 | 62 | 73 | 73 | 73 | 73 | 73 | 73 | 64 | 71 | 0 | 57 | 77 | 23 | 872,500$/2yrs |
| Scratches | ||||||||||||||||||||
Ty Young | 0 | 100.00 | 73 | 58 | 70 | 75 | 73 | 76 | 73 | 73 | 76 | 76 | 74 | 60 | 59 | 0 | 31 | 75 | 21 | 825,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Glen Gulutzan | 63 | 67 | 71 | 69 | 76 | 70 | 75 | CAN | 54 | 5 | 500,000$ |
| 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 | Viljami Marjala | C/LW | 23 | 7 | 11 | 18 | 4 | 0 | 0 | 10 | 56 | 15 | 48 | 12.50% | 5 | 18.33 | 2 | 3 | 5 | 74 | 0 | 0 | 0 | 36 | 2 | 2 | 48.13% | 187 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | ||
| 2 | Sheldon Dries | C | 23 | 10 | 5 | 15 | 1 | 6 | 0 | 30 | 85 | 29 | 63 | 11.76% | 8 | 21.36 | 3 | 2 | 5 | 67 | 1 | 0 | 1 | 81 | 3 | 1 | 56.33% | 664 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 3 | Jack Williams | LW/RW | 23 | 4 | 10 | 14 | 8 | 8 | 0 | 44 | 50 | 12 | 45 | 8.00% | 5 | 17.32 | 0 | 2 | 2 | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 4 | Connor Dewar | LW | 23 | 5 | 7 | 12 | 1 | 18 | 0 | 50 | 75 | 26 | 56 | 6.67% | 12 | 21.05 | 3 | 2 | 5 | 70 | 0 | 0 | 0 | 76 | 2 | 0 | 51.22% | 41 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 5 | Shane Bowers | RW | 23 | 5 | 7 | 12 | 5 | 4 | 0 | 16 | 48 | 12 | 18 | 10.42% | 4 | 12.65 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 0 | 1 | 17.39% | 23 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | ||
| 6 | Cole Koepke | LW/RW | 23 | 3 | 9 | 12 | 4 | 16 | 0 | 51 | 62 | 19 | 46 | 4.84% | 5 | 19.43 | 0 | 3 | 3 | 70 | 0 | 0 | 0 | 47 | 2 | 0 | 51.95% | 77 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 7 | Liam Foudy | C | 23 | 5 | 6 | 11 | 5 | 2 | 0 | 8 | 30 | 12 | 32 | 16.67% | 2 | 17.16 | 1 | 2 | 3 | 72 | 0 | 0 | 0 | 11 | 0 | 0 | 47.12% | 365 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 8 | Jack St. Ivany | D | 23 | 2 | 9 | 11 | 3 | 16 | 0 | 60 | 40 | 24 | 26 | 5.00% | 33 | 23.65 | 1 | 3 | 4 | 79 | 0 | 0 | 0 | 70 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 9 | Alex Petrovic | D | 23 | 3 | 8 | 11 | 1 | 16 | 0 | 31 | 36 | 9 | 17 | 8.33% | 30 | 23.25 | 2 | 2 | 4 | 76 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 10 | Dysin Mayo | D | 23 | 3 | 6 | 9 | 0 | 20 | 0 | 69 | 23 | 11 | 10 | 13.04% | 23 | 20.52 | 0 | 3 | 3 | 64 | 0 | 1 | 1 | 53 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 11 | Kirill Kudryavtsev | D | 23 | 2 | 7 | 9 | 11 | 0 | 0 | 2 | 12 | 4 | 4 | 16.67% | 15 | 15.97 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 23 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 12 | Jack Devine | RW | 23 | 0 | 9 | 9 | 4 | 16 | 0 | 35 | 39 | 19 | 44 | 0.00% | 4 | 16.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 24 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 13 | Caleb MacDonald | D | 23 | 3 | 6 | 9 | 11 | 29 | 5 | 59 | 17 | 2 | 7 | 17.65% | 28 | 15.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 14 | Logan Brown | C | 12 | 4 | 4 | 8 | 5 | 0 | 0 | 10 | 25 | 7 | 17 | 16.00% | 2 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 63.76% | 149 | 0 | 0 | 0 | 0 | 1.33 | 0 | 0 | ||
| 15 | Kevin Gravel | D | 23 | 1 | 7 | 8 | 0 | 11 | 5 | 5 | 22 | 13 | 13 | 4.55% | 22 | 20.89 | 1 | 3 | 4 | 64 | 0 | 1 | 1 | 59 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 16 | Alex Bump | LW | 23 | 3 | 3 | 6 | 0 | 2 | 0 | 3 | 26 | 8 | 18 | 11.54% | 1 | 7.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 17 | Milo Roelens | C | 23 | 2 | 3 | 5 | 1 | 18 | 0 | 26 | 23 | 7 | 31 | 8.70% | 1 | 12.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 56.54% | 283 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 18 | Tyler Tullio | RW | 23 | 0 | 2 | 2 | -4 | 2 | 0 | 10 | 15 | 5 | 12 | 0.00% | 2 | 4.58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | ||
| 19 | Reece Newkirk | C | 11 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 4.38 | 0 | 0 | ||
| 20 | Marshall Rifai | D | 23 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 3 | 1 | 1 | 0.00% | 1 | 0.75 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 437 | 63 | 119 | 182 | 60 | 184 | 10 | 520 | 688 | 235 | 509 | 9.16% | 203 | 15.46 | 13 | 25 | 38 | 736 | 1 | 2 | 3 | 566 | 14 | 4 | 52.90% | 1860 | 0 | 0 | 0 | 0 | 0.54 | 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 | Colten Ellis | 14 | 7 | 5 | 2 | 0.920 | 2.25 | 826 | 2 | 0 | 31 | 389 | 0 | 0 | 1 | 0.000 | 0 | 14 | 8 | 1 | 3 | 2 | |
| 2 | Isak Posch | 9 | 6 | 2 | 0 | 0.924 | 2.06 | 496 | 2 | 0 | 17 | 225 | 0 | 0 | 0 | 0.000 | 0 | 8 | 15 | 1 | 1 | 1 | |
| 3 | Ty Young | 1 | 1 | 0 | 0 | 0.917 | 2.00 | 60 | 0 | 0 | 2 | 24 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
| Team Total or Average | 24 | 14 | 7 | 2 | 0.922 | 2.17 | 1383 | 4 | 0 | 50 | 638 | 0 | 0 | 1 | 0.000 | 0 | 23 | 23 | 2 | 4 | 3 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Bump | LW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
| Alex Petrovic | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
| Cade Webber | D | 24 | 875,000$ | 875,000$ | |||||||
| Caleb MacDonald | D | 23 | 922,500$ | 922,500$ | 922,500$ | ||||||
| Cole Koepke | LW/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Colten Ellis | G | 25 | 800,000$ | 800,000$ | |||||||
| Connor Dewar | LW | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Daniel Torgersson | LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Dysin Mayo | D | 29 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Emil Bemstrom | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Fabian Wagner | C | 21 | 858,333$ | 858,333$ | RFA | ||||||
| Isak Posch | G | 23 | 872,500$ | 872,500$ | 872,500$ | ||||||
| Jack Devine | RW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | |||||
| Jack St. Ivany | D | 26 | 800,000$ | 800,000$ | |||||||
| Jack Williams | LW/RW | 23 | 923,750$ | 923,750$ | RFA | ||||||
| Jaroslav Chmelar | RW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
| Kevin Gravel | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
| Kirill Kudryavtsev | D | 21 | 850,000$ | 850,000$ | RFA | ||||||
| Liam Foudy | C | 25 | 950,000$ | 950,000$ | |||||||
| Logan Brown | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Luke Glendening | C/LW/RW | 36 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Marshall Rifai | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
| Milo Roelens | C | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Noah Philp | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Reece Newkirk | C | 24 | 775,000$ | 775,000$ | |||||||
| Ryan Francis | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
| Shane Bowers | RW | 26 | 775,000$ | 775,000$ | |||||||
| Sheldon Dries | C | 31 | 800,000$ | 800,000$ | UFA | ||||||
| Ty Young | G | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
| Tyler Tullio | RW | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Viljami Marjala | C/LW | 22 | 872,500$ | 872,500$ | 872,500$ | RFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 25 | 16 | 22 | 0 | 42 | 229 | 188 | 267 | 4 | 27 | 6 | 6 | 26 | 10 | 2 | 20.00% | 3 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 50.0% | 9.5% | 92.6% | 102.1 | LUCKY | |
| 2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.500 | 8 | 15 | 23 | 0 | 0 | 25 | 16 | 22 | 0 | 130 | 229 | 188 | 267 | 4 | 121 | 36 | 23 | 104 | 12 | 1 | 8.33% | 7 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 53.8% | 6.2% | 95.0% | 101.2 | DULL | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 25 | 16 | 22 | 0 | 19 | 229 | 188 | 267 | 4 | 27 | 9 | 17 | 21 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 50.0% | 5.3% | 88.9% | 94.2 | Unlucky | |
| 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 25 | 16 | 22 | 0 | 101 | 229 | 188 | 267 | 4 | 73 | 20 | 28 | 68 | 15 | 2 | 13.33% | 12 | 1 | 91.67% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 52.9% | 10.9% | 87.7% | 98.6 | FUN | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 25 | 16 | 22 | 0 | 62 | 229 | 188 | 267 | 4 | 52 | 25 | 10 | 44 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 62.5% | 12.9% | 94.2% | 107.1 | LUCKY | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 25 | 16 | 22 | 0 | 28 | 229 | 188 | 267 | 4 | 25 | 6 | 10 | 17 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 50.0% | 7.1% | 96.0% | 103.1 | DULL | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 25 | 16 | 22 | 0 | 22 | 229 | 188 | 267 | 4 | 25 | 7 | 10 | 24 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 80.0% | 18.2% | 92.0% | 110.2 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 25 | 16 | 22 | 0 | 27 | 229 | 188 | 267 | 4 | 30 | 10 | 8 | 21 | 7 | 3 | 42.86% | 4 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 0.0% | 11.1% | 96.7% | 107.8 | LUCKY | |
| 9 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 25 | 16 | 22 | 0 | 71 | 229 | 188 | 267 | 4 | 59 | 23 | 18 | 41 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 63.6% | 9.9% | 89.8% | 99.7 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 25 | 16 | 22 | 0 | 30 | 229 | 188 | 267 | 4 | 24 | 7 | 8 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY | |
| 11 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 25 | 16 | 22 | 0 | 66 | 229 | 188 | 267 | 4 | 77 | 22 | 20 | 36 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 25.0% | 1.5% | 94.8% | 96.3 | DULL | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 25 | 16 | 22 | 0 | 28 | 229 | 188 | 267 | 4 | 28 | 11 | 6 | 27 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 80.0% | 14.3% | 92.9% | 107.1 | LUCKY | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 25 | 16 | 22 | 0 | 40 | 229 | 188 | 267 | 4 | 52 | 14 | 18 | 47 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 1 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 50.0% | 12.5% | 86.5% | 99.0 | FUN | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 16 | 22 | 0 | 22 | 229 | 188 | 267 | 4 | 19 | 7 | 6 | 23 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 50.0% | 4.5% | 84.2% | 88.8 | Unlucky | |
| _Vs Division | 6 | 8 | 6 | 0 | 0 | 2 | 0 | 0 | 14 | 9 | 5 | 18 | 1.500 | 14 | 27 | 41 | 0 | 0 | 25 | 16 | 22 | 0 | 200 | 229 | 188 | 267 | 4 | 173 | 48 | 39 | 147 | 24 | 4 | 16.67% | 15 | 0 | 100.00% | 0 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 52.6% | 7.0% | 94.8% | 101.8 | DULL | |
| _Vs Conference | 20 | 12 | 6 | 0 | 0 | 2 | 0 | 0 | 55 | 45 | 10 | 26 | 0.650 | 55 | 103 | 158 | 1 | 0 | 25 | 16 | 22 | 0 | 617 | 229 | 188 | 267 | 4 | 565 | 179 | 164 | 452 | 77 | 10 | 12.99% | 71 | 10 | 85.92% | 1 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 56.3% | 8.9% | 92.0% | 100.9 | Unlucky | |
| _Since Last GM Reset | 23 | 14 | 7 | 0 | 0 | 2 | 0 | 0 | 63 | 51 | 12 | 30 | 0.652 | 63 | 119 | 182 | 1 | 0 | 25 | 16 | 22 | 0 | 688 | 229 | 188 | 267 | 4 | 639 | 203 | 188 | 520 | 88 | 13 | 14.77% | 82 | 13 | 84.15% | 1 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 56.8% | 9.2% | 92.0% | 101.2 | LUCKY | |
| Total | 23 | 14 | 7 | 0 | 0 | 2 | 0 | 0 | 63 | 51 | 12 | 30 | 0.652 | 63 | 119 | 182 | 1 | 0 | 25 | 16 | 22 | 0 | 688 | 229 | 188 | 267 | 4 | 639 | 203 | 188 | 520 | 88 | 13 | 14.77% | 82 | 13 | 84.15% | 1 | 410 | 783 | 52.36% | 396 | 744 | 53.23% | 178 | 324 | 54.94% | 554 | 371 | 521 | 177 | 309 | 156 | 56.8% | 9.2% | 92.0% | 101.2 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 783 |
| Neutral Zone Start | 324 |
| Defensive Zone Start | 744 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 984 |
| Faceoffs Lost | 867 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 18.1 | 20.31 |
| 3rd Period | 29.7 | 30.68 |
| Overtime | 29.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 48 |
|---|---|
| PP Goal | 13 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 7 | 7 |
| Lost | 3 | 4 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 88 |
|---|---|
| PP Goal | 13 |
| PK Attempt | 82 |
| PK Goal Against | 13 |
| Home | |
|---|---|
| Shots For | 29.9 |
| Shots Against | 27.8 |
| Goals For | 2.7 |
| Goals Against | 2.2 |
| Hits | 22.6 |
| Shots Blocked | 8.8 |
| Pim | 8.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Monsters4,Rocket1 | RECAP | |||||||||||
| 2025-10-10 | @ | Crunch3,Monsters5 | RECAP | |||||||||||
| 2025-10-13 | @ | Monsters0,Comets2 | RECAP | |||||||||||
| 2025-10-16 | @ | Americans2,Monsters1 (OT) | RECAP | |||||||||||
| 2025-10-18 | @ | Senators3,Monsters1 | RECAP | |||||||||||
| 2025-10-19 | @ | Monsters2,Crunch3 (OT) | RECAP | |||||||||||
| 2025-10-21 | @ | Monsters4,Marlies3 | RECAP | |||||||||||
| 2025-10-24 | @ | Americans2,Monsters0 | RECAP | |||||||||||
| 2025-10-26 | @ | Reign2,Monsters4 | RECAP | |||||||||||
| 2025-10-28 | @ | Monsters4,Thunderbirds2 | RECAP | |||||||||||
| 2025-10-30 | @ | Monsters1,Marlies4 | RECAP | |||||||||||
| 2025-10-31 | @ | Comets2,Monsters6 | RECAP | |||||||||||
| 2025-11-04 | @ | Griffins2,Monsters3 | RECAP | |||||||||||
| 2025-11-06 | @ | Monsters4,Griffins6 | RECAP | |||||||||||
| 2025-11-10 | @ | Monsters0,Comets1 | RECAP | |||||||||||
| 2025-11-12 | @ | Rocket2,Monsters4 | RECAP | |||||||||||
| 2025-11-14 | @ | Monsters3,Admirals1 | RECAP | |||||||||||
| 2025-11-16 | @ | Monsters4,Phantoms2 | RECAP | |||||||||||
| 2025-11-17 | @ | Bears1,Monsters2 | RECAP | |||||||||||
| 2025-11-20 | @ | Monsters2,Comets1 | RECAP | |||||||||||
| 2025-11-21 | @ | Checkers2,Monsters4 | RECAP | |||||||||||
| 2025-11-27 | @ | Barracuda3,Monsters1 | RECAP | |||||||||||
| 2025-11-30 | @ | Monsters4,Griffins1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,493,708$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Cleveland | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,493,708$ | 2,493,708$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 871,606$ | 13,854$ | 721,594$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 138 | 16,632$ | 2,095,632$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,095,632$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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