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Full Scoreboard »» |
| Cleveland Monsters 6-4-2, 14pts · 7th 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 | 100.00 | 68 | 39 | 77 | 57 | 67 | 71 | 74 | 68 | 74 | 57 | 64 | 72 | 60 | 77 | 75 | 0 | 42 | 73 | 31 | 800,000$/1yrs | |||
Logan Brown | 22 | C | 100.00 | 64 | 41 | 85 | 59 | 93 | 70 | 67 | 64 | 68 | 62 | 60 | 68 | 61 | 70 | 69 | 0 | 31 | 73 | 27 | 775,000$/1yrs | |||
Connor Dewar | 0 | LW | 100.00 | 80 | 40 | 88 | 60 | 69 | 75 | 84 | 58 | 75 | 59 | 62 | 76 | 60 | 68 | 67 | 0 | 42 | 73 | 26 | 1,250,000$/3yrs | |||
Viljami Marjala (R) | 0 | C/LW | 100.00 | 59 | 37 | 94 | 65 | 71 | 70 | 88 | 67 | 45 | 71 | 58 | 61 | 64 | 61 | 61 | 0 | 42 | 73 | 22 | 872,500$/2yrs | |||
Cole Koepke | 0 | LW/RW | 100.00 | 83 | 36 | 91 | 60 | 77 | 74 | 88 | 57 | 55 | 58 | 64 | 61 | 60 | 70 | 69 | 0 | 42 | 72 | 27 | 800,000$/1yrs | |||
Jack Devine (R) | 0 | RW | 100.00 | 70 | 39 | 75 | 61 | 71 | 68 | 94 | 60 | 45 | 63 | 57 | 64 | 60 | 59 | 57 | 0 | 42 | 70 | 22 | 950,000$/3yrs | |||
Jack Williams | 0 | LW/RW | 100.00 | 69 | 39 | 77 | 60 | 71 | 68 | 89 | 57 | 37 | 60 | 60 | 65 | 60 | 63 | 61 | 0 | 42 | 70 | 23 | 923,750$/1yrs | |||
Alex Bump (R) | 0 | LW | 100.00 | 59 | 39 | 88 | 61 | 75 | 67 | 93 | 58 | 37 | 56 | 61 | 63 | 60 | 59 | 58 | 0 | 42 | 69 | 21 | 950,000$/3yrs | |||
Shane Bowers | 15 | RW | 100.00 | 62 | 38 | 88 | 53 | 73 | 64 | 67 | 64 | 35 | 54 | 54 | 68 | 54 | 68 | 67 | 0 | 42 | 68 | 26 | 775,000$/1yrs | |||
Liam Foudy | 19 | C | 100.00 | 62 | 33 | 95 | 55 | 76 | 72 | 67 | 58 | 55 | 63 | 50 | 56 | 54 | 66 | 66 | 0 | 42 | 68 | 25 | 950,000$/1yrs | |||
Tyler Tullio (R) | 0 | RW | 100.00 | 70 | 40 | 75 | 55 | 72 | 64 | 67 | 61 | 38 | 56 | 54 | 64 | 55 | 63 | 60 | 0 | 42 | 68 | 23 | 800,000$/1yrs | |||
Milo Roelens | 0 | C | 100.00 | 73 | 42 | 70 | 54 | 91 | 62 | 66 | 60 | 61 | 51 | 55 | 64 | 53 | 61 | 58 | 0 | 42 | 67 | 22 | 870,000$/1yrs | |||
Jack St. Ivany | 0 | D | 100.00 | 79 | 46 | 69 | 55 | 80 | 82 | 71 | 55 | 30 | 55 | 50 | 80 | 53 | 68 | 65 | 0 | 42 | 71 | 26 | 800,000$/1yrs | |||
Alex Petrovic | 0 | D | 98.00 | 72 | 41 | 72 | 51 | 87 | 67 | 67 | 50 | 30 | 57 | 52 | 75 | 55 | 80 | 78 | 0 | 42 | 70 | 33 | 800,000$/1yrs | |||
Kevin Gravel | 0 | D | 100.00 | 63 | 40 | 87 | 49 | 85 | 66 | 66 | 48 | 30 | 54 | 52 | 75 | 53 | 80 | 79 | 0 | 39 | 69 | 33 | 800,000$/1yrs | |||
Dysin Mayo | 0 | D | 100.00 | 81 | 41 | 55 | 50 | 74 | 66 | 67 | 49 | 30 | 56 | 53 | 71 | 54 | 73 | 69 | 0 | 42 | 69 | 29 | 850,000$/2yrs | |||
Caleb MacDonald | 0 | D | 100.00 | 84 | 44 | 59 | 52 | 99 | 63 | 88 | 52 | 30 | 54 | 53 | 65 | 53 | 61 | 57 | 0 | 42 | 68 | 22 | 922,500$/2yrs | |||
Marshall Rifai | 0 | D | 100.00 | 80 | 42 | 58 | 50 | 80 | 64 | 66 | 48 | 30 | 55 | 51 | 69 | 53 | 70 | 66 | 0 | 42 | 67 | 27 | 775,000$/2yrs | |||
Kirill Kudryavtsev (R) | 0 | D | 100.00 | 62 | 39 | 88 | 52 | 76 | 63 | 66 | 50 | 30 | 57 | 52 | 63 | 55 | 59 | 58 | 0 | 42 | 67 | 21 | 850,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Emil Bemstrom | 0 | C/RW | 100.00 | 64 | 33 | 93 | 59 | 76 | 73 | 76 | 59 | 59 | 60 | 62 | 57 | 60 | 68 | 67 | 0 | 28 | 71 | 26 | 800,000$/2yrs | |||
Reece Newkirk | 0 | C | 100.00 | 68 | 39 | 77 | 53 | 70 | 63 | 65 | 62 | 39 | 54 | 52 | 66 | 53 | 64 | 62 | 0 | 39 | 67 | 24 | 775,000$/1yrs | |||
Jaroslav Chmelar (R) | 0 | RW | 100.00 | 81 | 41 | 62 | 57 | 81 | 64 | 82 | 54 | 49 | 57 | 55 | 64 | 56 | 59 | 55 | 0 | 28 | 67 | 22 | 867,500$/2yrs | |||
Noah Philp | 0 | C | 100.00 | 68 | 33 | 95 | 55 | 80 | 71 | 67 | 50 | 74 | 60 | 50 | 57 | 50 | 69 | 68 | 0 | 28 | 66 | 27 | 775,000$/1yrs | |||
Daniel Torgersson (R) | 0 | LW/RW | 100.00 | 61 | 40 | 89 | 52 | 86 | 62 | 65 | 62 | 45 | 53 | 51 | 65 | 52 | 63 | 61 | 0 | 28 | 66 | 23 | 775,000$/1yrs | |||
Fabian Wagner (R) | 0 | C | 100.00 | 61 | 38 | 89 | 55 | 69 | 62 | 66 | 59 | 43 | 52 | 55 | 63 | 54 | 59 | 58 | 0 | 28 | 66 | 21 | 858,333$/1yrs | |||
Ryan Francis (R) | 0 | C | 100.00 | 60 | 38 | 90 | 48 | 68 | 58 | 69 | 61 | 67 | 47 | 47 | 64 | 47 | 61 | 60 | 0 | 28 | 63 | 23 | 775,000$/1yrs | |||
Cade Webber (R) | 0 | D | 100.00 | 67 | 41 | 80 | 47 | 90 | 62 | 65 | 47 | 30 | 52 | 51 | 66 | 51 | 64 | 62 | 0 | 28 | 65 | 24 | 875,000$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isak Posch | 0 | 100.00 | 73 | 74 | 69 | 87 | 62 | 73 | 73 | 73 | 73 | 73 | 73 | 64 | 71 | 0 | 45 | 77 | 23 | 872,500$/2yrs |
Ty Young | 0 | 100.00 | 73 | 58 | 70 | 75 | 73 | 76 | 73 | 73 | 76 | 76 | 74 | 60 | 59 | 0 | 36 | 75 | 21 | 825,000$/2yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Glen Gulutzan | 63 | 67 | 71 | 69 | 76 | 70 | 75 | CAN | 54 | 5 | 500,000$ |
| 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 | Sheldon Dries | C | 12 | 5 | 4 | 9 | 1 | 6 | 0 | 23 | 42 | 15 | 29 | 11.90% | 6 | 21.35 | 1 | 1 | 2 | 34 | 1 | 0 | 1 | 47 | 1 | 1 | 54.83% | 352 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 2 | Viljami Marjala | C/LW | 12 | 4 | 5 | 9 | 2 | 0 | 0 | 6 | 32 | 9 | 25 | 12.50% | 3 | 21.22 | 0 | 2 | 2 | 30 | 0 | 0 | 0 | 20 | 1 | 1 | 45.61% | 114 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | ||
| 3 | Connor Dewar | LW | 12 | 4 | 3 | 7 | 3 | 14 | 0 | 27 | 37 | 13 | 27 | 10.81% | 9 | 20.23 | 2 | 0 | 2 | 30 | 0 | 0 | 0 | 43 | 1 | 0 | 62.50% | 24 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 4 | Alex Petrovic | D | 12 | 1 | 6 | 7 | 1 | 10 | 0 | 15 | 19 | 2 | 11 | 5.26% | 16 | 23.08 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 40 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 5 | Jack Williams | LW/RW | 12 | 1 | 6 | 7 | 3 | 4 | 0 | 17 | 24 | 6 | 23 | 4.17% | 3 | 17.24 | 0 | 1 | 1 | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 6 | Shane Bowers | RW | 12 | 2 | 4 | 6 | 4 | 2 | 0 | 7 | 29 | 6 | 9 | 6.90% | 2 | 14.68 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8.33% | 12 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
| 7 | Liam Foudy | C | 12 | 4 | 2 | 6 | -1 | 0 | 0 | 4 | 23 | 5 | 13 | 17.39% | 1 | 17.24 | 1 | 1 | 2 | 36 | 0 | 0 | 0 | 11 | 0 | 0 | 45.41% | 207 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 8 | Kirill Kudryavtsev | D | 12 | 1 | 5 | 6 | 7 | 0 | 0 | 1 | 6 | 2 | 2 | 16.67% | 3 | 16.08 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 14 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 9 | Jack Devine | RW | 12 | 0 | 6 | 6 | 4 | 8 | 0 | 17 | 20 | 10 | 29 | 0.00% | 2 | 17.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 10 | Jack St. Ivany | D | 12 | 1 | 4 | 5 | 1 | 10 | 0 | 27 | 22 | 13 | 14 | 4.55% | 20 | 23.40 | 1 | 1 | 2 | 37 | 0 | 0 | 0 | 43 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 11 | Caleb MacDonald | D | 12 | 1 | 4 | 5 | 7 | 12 | 0 | 39 | 8 | 1 | 3 | 12.50% | 14 | 15.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 12 | Milo Roelens | C | 12 | 1 | 3 | 4 | 3 | 8 | 0 | 17 | 14 | 3 | 16 | 7.14% | 0 | 15.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 58.38% | 185 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 13 | Alex Bump | LW | 12 | 3 | 1 | 4 | 2 | 0 | 0 | 3 | 10 | 2 | 7 | 30.00% | 1 | 6.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | ||
| 14 | Kevin Gravel | D | 12 | 0 | 3 | 3 | -1 | 7 | 5 | 3 | 13 | 8 | 5 | 0.00% | 10 | 21.25 | 0 | 1 | 1 | 28 | 0 | 1 | 1 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 15 | Dysin Mayo | D | 12 | 1 | 2 | 3 | 0 | 12 | 0 | 29 | 9 | 6 | 2 | 11.11% | 14 | 20.76 | 0 | 0 | 0 | 28 | 0 | 1 | 1 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 16 | Cole Koepke | LW/RW | 12 | 1 | 2 | 3 | -2 | 12 | 0 | 25 | 32 | 11 | 25 | 3.13% | 4 | 19.59 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 30 | 1 | 0 | 52.78% | 36 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 17 | Logan Brown | C | 1 | 1 | 0 | 1 | 2 | 0 | 0 | 2 | 3 | 1 | 1 | 33.33% | 0 | 9.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88.89% | 9 | 0 | 0 | 0 | 0 | 2.05 | 0 | 0 | ||
| 18 | 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 | ||
| 19 | Tyler Tullio | RW | 12 | 0 | 1 | 1 | -1 | 2 | 0 | 2 | 0 | 0 | 2 | 0.00% | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 2.07 | 0 | 0 | ||
| 20 | Marshall Rifai | D | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0.00% | 1 | 0.59 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 228 | 32 | 61 | 93 | 36 | 107 | 5 | 265 | 346 | 113 | 244 | 9.25% | 109 | 15.44 | 5 | 9 | 14 | 335 | 1 | 2 | 3 | 352 | 6 | 2 | 51.69% | 975 | 0 | 0 | 0 | 0 | 0.53 | 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 | Isak Posch | 4 | 2 | 2 | 0 | 0.912 | 2.50 | 240 | 2 | 0 | 10 | 114 | 0 | 0 | 0 | 0.000 | 0 | 4 | 8 | 0 | 0 | 1 | |
| 2 | 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 | 5 | 3 | 2 | 0 | 0.913 | 2.40 | 300 | 2 | 0 | 12 | 138 | 0 | 0 | 0 | 0.000 | 0 | 5 | 8 | 0 | 0 | 1 |
| 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 | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Alex Petrovic | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
| Cade Webber | D | 24 | 875,000$ | 875,000$ | |||||||
| Caleb MacDonald | D | 22 | 922,500$ | 922,500$ | 922,500$ | RFA | |||||
| Cole Koepke | LW/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| 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 | ||||||
| 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 11 | 11 | 10 | 0 | 61 | 116 | 93 | 133 | 4 | 64 | 15 | 14 | 53 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 55.6% | 9.8% | 93.8% | 103.6 | LUCKY | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 11 | 11 | 10 | 0 | 19 | 116 | 93 | 133 | 4 | 27 | 9 | 17 | 21 | 2 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 50.0% | 5.3% | 88.9% | 94.2 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 11 | 11 | 10 | 0 | 37 | 116 | 93 | 133 | 4 | 28 | 12 | 6 | 22 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 50.0% | 10.8% | 96.4% | 107.2 | LUCKY | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 11 | 11 | 10 | 0 | 22 | 116 | 93 | 133 | 4 | 25 | 7 | 10 | 24 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 80.0% | 18.2% | 92.0% | 110.2 | LUCKY | |
| 5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 11 | 11 | 10 | 0 | 71 | 116 | 93 | 133 | 4 | 59 | 23 | 18 | 41 | 6 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 63.6% | 9.9% | 89.8% | 99.7 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 11 | 11 | 10 | 0 | 30 | 116 | 93 | 133 | 4 | 24 | 7 | 8 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 66.7% | 13.3% | 91.7% | 105.0 | LUCKY | |
| 7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 11 | 11 | 10 | 0 | 66 | 116 | 93 | 133 | 4 | 77 | 22 | 20 | 36 | 8 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 25.0% | 1.5% | 94.8% | 96.3 | DULL | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 11 | 11 | 10 | 0 | 40 | 116 | 93 | 133 | 4 | 52 | 14 | 18 | 47 | 7 | 1 | 14.29% | 9 | 3 | 66.67% | 1 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 50.0% | 12.5% | 86.5% | 99.0 | FUN | |
| _Vs Division | 2 | 4 | 4 | 0 | 0 | 2 | 0 | 0 | 6 | 4 | 2 | 10 | 2.500 | 6 | 12 | 18 | 0 | 0 | 11 | 11 | 10 | 0 | 61 | 116 | 93 | 133 | 4 | 64 | 15 | 14 | 53 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 55.6% | 9.8% | 93.8% | 103.6 | LUCKY | |
| _Vs Conference | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 28 | 27 | 1 | 12 | 0.545 | 28 | 53 | 81 | 1 | 0 | 11 | 11 | 10 | 0 | 324 | 116 | 93 | 133 | 4 | 331 | 102 | 101 | 241 | 37 | 5 | 13.51% | 45 | 8 | 82.22% | 1 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 54.8% | 8.6% | 91.8% | 100.5 | DULL | |
| _Since Last GM Reset | 12 | 6 | 4 | 0 | 0 | 2 | 0 | 0 | 32 | 29 | 3 | 14 | 0.583 | 32 | 61 | 93 | 1 | 0 | 11 | 11 | 10 | 0 | 346 | 116 | 93 | 133 | 4 | 356 | 109 | 111 | 265 | 39 | 5 | 12.82% | 50 | 9 | 82.00% | 1 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 57.4% | 9.2% | 91.9% | 101.1 | LUCKY | |
| Total | 12 | 6 | 4 | 0 | 0 | 2 | 0 | 0 | 32 | 29 | 3 | 14 | 0.583 | 32 | 61 | 93 | 1 | 0 | 11 | 11 | 10 | 0 | 346 | 116 | 93 | 133 | 4 | 356 | 109 | 111 | 265 | 39 | 5 | 12.82% | 50 | 9 | 82.00% | 1 | 192 | 389 | 49.36% | 218 | 401 | 54.36% | 94 | 176 | 53.41% | 279 | 184 | 282 | 93 | 163 | 81 | 57.4% | 9.2% | 91.9% | 101.1 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 389 |
| Neutral Zone Start | 176 |
| Defensive Zone Start | 401 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 504 |
| Faceoffs Lost | 462 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.7 | 9.57 |
| 2nd Period | 17.4 | 20.31 |
| 3rd Period | 28.5 | 30.68 |
| Overtime | 28.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.7 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 25 |
|---|---|
| PP Goal | 5 |
| PK Goal | 1 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 3 | 3 |
| Lost | 2 | 2 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 39 |
|---|---|
| PP Goal | 5 |
| PK Attempt | 50 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 28.8 |
| Shots Against | 29.7 |
| Goals For | 2.7 |
| Goals Against | 2.4 |
| Hits | 22.1 |
| Shots Blocked | 9.1 |
| Pim | 9.3 |
| 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 | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,313,708$ | 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 |
| 30 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,313,708$ | 2,313,708$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 411,914$ | 12,854$ | 339,686$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 166 | 15,632$ | 2,407,328$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,407,328$ | 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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