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Full Scoreboard »» |
![]() | Cleveland Monsters 2-4-0, 4pts · 8th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyler Pitlick | 0 | C/RW | 100.00 | 67 | 42 | 74 | 68 | 70 | 76 | 76 | 66 | 45 | 64 | 62 | 67 | 65 | 86 | 66 | 1 | 50 | 66 | 33 | 2,500,000$/4yrs | |||
Jayson Megna | 0 | C | 100.00 | 62 | 42 | 74 | 68 | 62 | 72 | 73 | 66 | 66 | 65 | 60 | 68 | 64 | 85 | 69 | 1 | 50 | 65 | 35 | 2,500,000$/4yrs | |||
Max Sasson | 0 | C | 100.00 | 63 | 41 | 77 | 73 | 71 | 74 | 64 | 66 | 60 | 63 | 62 | 66 | 67 | 52 | 50 | 1 | 50 | 64 | 24 | 870,000$/2yrs | |||
Jack Studnicka | 0 | C/RW | 100.00 | 63 | 45 | 71 | 71 | 67 | 75 | 71 | 67 | 53 | 63 | 60 | 63 | 66 | 70 | 54 | 1 | 50 | 64 | 26 | 1,250,000$/1yrs | |||
Matthew Phillips | 0 | RW | 100.00 | 57 | 40 | 77 | 75 | 56 | 72 | 69 | 67 | 44 | 65 | 61 | 67 | 68 | 64 | 52 | 1 | 50 | 64 | 27 | 1,200,000$/3yrs | |||
Joe Snively | 0 | C | 100.00 | 54 | 42 | 72 | 67 | 57 | 71 | 69 | 65 | 45 | 65 | 59 | 57 | 64 | 59 | 50 | 1 | 50 | 61 | 29 | 1,200,000$/1yrs | |||
Gabriel Fortier | 0 | LW | 100.00 | 59 | 41 | 72 | 66 | 61 | 66 | 64 | 61 | 59 | 56 | 56 | 58 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 1,250,000$/1yrs | |||
Jonathan Gruden | 0 | C/LW | 100.00 | 58 | 48 | 62 | 66 | 60 | 66 | 64 | 61 | 59 | 56 | 55 | 57 | 61 | 53 | 50 | 1 | 50 | 58 | 25 | 1,250,000$/1yrs | |||
Matvey Petrov | 0 | LW | 100.00 | 61 | 42 | 70 | 64 | 64 | 63 | 61 | 60 | 42 | 53 | 55 | 54 | 59 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
Jaycob Megna | 0 | D | 100.00 | 69 | 44 | 75 | 64 | 78 | 78 | 76 | 65 | 40 | 61 | 56 | 72 | 61 | 80 | 61 | 1 | 50 | 67 | 32 | 3,500,000$/4yrs | |||
Jarred Tinordi | 0 | D | 100.00 | 70 | 56 | 66 | 63 | 79 | 75 | 75 | 62 | 40 | 58 | 56 | 70 | 60 | 87 | 69 | 1 | 50 | 66 | 33 | 3,000,000$/4yrs | |||
Chad Ruhwedel | 0 | D | 100.00 | 62 | 43 | 74 | 69 | 66 | 75 | 77 | 64 | 40 | 61 | 57 | 70 | 63 | 87 | 70 | 1 | 50 | 66 | 35 | 3,000,000$/4yrs | |||
Spencer Stastney | 0 | D | 100.00 | 56 | 40 | 79 | 75 | 75 | 83 | 67 | 66 | 40 | 62 | 61 | 70 | 67 | 59 | 50 | 1 | 50 | 66 | 25 | 950,000$/1yrs | |||
Kevin Gravel | 0 | D | 100.00 | 59 | 42 | 72 | 64 | 69 | 73 | 72 | 62 | 40 | 58 | 55 | 67 | 60 | 80 | 65 | 1 | 50 | 64 | 33 | 1,500,000$/4yrs | |||
William Lagesson | 0 | D | 100.00 | 65 | 48 | 69 | 68 | 71 | 72 | 68 | 62 | 40 | 57 | 56 | 70 | 62 | 69 | 53 | 1 | 50 | 64 | 29 | 1,400,000$/3yrs | |||
Ian Mitchell | 0 | D | 100.00 | 58 | 41 | 72 | 72 | 60 | 68 | 65 | 63 | 40 | 63 | 56 | 68 | 64 | 60 | 50 | 1 | 50 | 63 | 26 | 1,500,000$/1yrs | |||
Jack Ahcan | 0 | D | 100.00 | 55 | 43 | 70 | 71 | 58 | 70 | 68 | 67 | 40 | 65 | 56 | 69 | 64 | 57 | 50 | 1 | 50 | 63 | 28 | 1,400,000$/4yrs | |||
Ryan Ufko (R) | 0 | D | 100.00 | 59 | 41 | 69 | 67 | 60 | 63 | 62 | 62 | 40 | 61 | 59 | 64 | 63 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Clark Bishop | 0 | C | 100.00 | 59 | 45 | 66 | 65 | 63 | 70 | 69 | 63 | 61 | 59 | 58 | 59 | 62 | 59 | 54 | 1 | 50 | 60 | 29 | 1,600,000$/4yrs | |||
Bogdan Trineyev | 0 | RW | 100.00 | 66 | 42 | 71 | 65 | 66 | 64 | 63 | 61 | 42 | 54 | 56 | 63 | 61 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Ryder Rolston | 0 | RW | 100.00 | 64 | 41 | 73 | 64 | 66 | 64 | 63 | 62 | 42 | 59 | 57 | 59 | 61 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Nathan Légaré | 0 | RW | 100.00 | 61 | 55 | 57 | 63 | 65 | 65 | 63 | 62 | 42 | 53 | 57 | 55 | 61 | 52 | 50 | 1 | 50 | 58 | 24 | 1,400,000$/4yrs | |||
Ryan McAllister | 0 | C | 100.00 | 59 | 40 | 70 | 65 | 62 | 60 | 58 | 58 | 42 | 55 | 54 | 55 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/2yrs | |||
Bryce McConnell-Barker (R) | 0 | C | 100.00 | 61 | 42 | 64 | 62 | 62 | 61 | 60 | 58 | 41 | 55 | 55 | 58 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/3yrs | |||
Simon Robertsson (R) | 0 | RW | 100.00 | 62 | 41 | 67 | 62 | 62 | 60 | 58 | 58 | 41 | 55 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/3yrs | |||
Alex Beaucage | 0 | RW | 100.00 | 62 | 41 | 71 | 65 | 65 | 62 | 59 | 56 | 40 | 52 | 51 | 58 | 57 | 51 | 50 | 1 | 50 | 57 | 23 | 1,250,000$/4yrs | |||
Josh Filmon (R) | 0 | LW | 100.00 | 58 | 40 | 66 | 61 | 60 | 58 | 56 | 54 | 40 | 53 | 53 | 54 | 56 | 50 | 50 | 1 | 50 | 55 | 21 | 975,000$/3yrs | |||
Owen Lindmark (R) | 0 | C | 100.00 | 59 | 40 | 66 | 60 | 61 | 60 | 58 | 54 | 47 | 54 | 53 | 55 | 55 | 51 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Blake McLaughlin | 0 | C/LW/RW | 100.00 | 57 | 40 | 71 | 65 | 60 | 62 | 59 | 55 | 40 | 51 | 51 | 54 | 57 | 53 | 50 | 1 | 50 | 55 | 25 | 950,000$/1yrs | |||
Luca Cagnoni (R) | 0 | D | 100.00 | 58 | 41 | 66 | 69 | 60 | 58 | 57 | 64 | 40 | 62 | 64 | 64 | 66 | 50 | 50 | 1 | 50 | 61 | 20 | 975,000$/3yrs | |||
Mikko Kokkonen | 0 | D | 100.00 | 62 | 42 | 71 | 66 | 64 | 64 | 63 | 61 | 40 | 57 | 54 | 66 | 60 | 52 | 50 | 1 | 50 | 61 | 24 | 1,350,000$/3yrs | |||
Jorian Donovan (R) | 0 | D | 100.00 | 59 | 48 | 58 | 62 | 62 | 61 | 60 | 60 | 40 | 55 | 55 | 59 | 59 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Louis Domingue | 0 | 100.00 | 69 | 71 | 72 | 67 | 69 | 69 | 71 | 67 | 69 | 70 | 69 | 68 | 61 | 1 | 50 | 64 | 33 | 2,200,000$/4yrs |
Jesper Wallstedt | 0 | 100.00 | 68 | 61 | 64 | 70 | 68 | 68 | 71 | 67 | 69 | 67 | 59 | 50 | 50 | 1 | 50 | 62 | 22 | 1,200,000$/2yrs |
| Scratches | ||||||||||||||||||||
Troy Grosenick | 0 | 100.00 | 63 | 62 | 62 | 54 | 60 | 61 | 63 | 60 | 62 | 61 | 59 | 70 | 60 | 1 | 50 | 57 | 35 | 1,250,000$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Travis Green | 86 | 84 | 84 | 84 | 78 | 73 | 1 | CAN | 54 | 3 | 500,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jack Studnicka | Monsters (CLB) | C/RW | 6 | 2 | 1 | 3 | 2 | 2 | 0 | 2 | 11 | 3 | 7 | 18.18% | 4 | 19.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 83.33% | 0 | 0 | 0.50 | 0 | 0 | 0.58 | |||
| 2 | Gabriel Fortier | Monsters (CLB) | LW | 6 | 2 | 1 | 3 | 2 | 4 | 0 | 8 | 4 | 1 | 2 | 50.00% | 6 | 20.95 | 0 | 0 | 0 | 1 | 0 | 1 | 12 | 1 | 0 | 55.56% | 0 | 0 | 0.50 | 0 | 0 | 0.49 | |||
| 3 | Tyler Pitlick | Monsters (CLB) | C/RW | 6 | 1 | 2 | 3 | 2 | 0 | 0 | 9 | 7 | 5 | 3 | 14.29% | 2 | 23.01 | 0 | 0 | 0 | 0 | 1 | 1 | 14 | 0 | 1 | 43.75% | 0 | 0 | 0.50 | 0 | 0 | 0.56 | |||
| 4 | Jaycob Megna | Monsters (CLB) | D | 6 | 1 | 1 | 2 | -1 | 0 | 0 | 3 | 5 | 2 | 4 | 20.00% | 4 | 22.79 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.27 | |||
| 5 | Matthew Phillips | Monsters (CLB) | RW | 6 | 0 | 1 | 1 | -1 | 4 | 0 | 5 | 11 | 2 | 5 | 0.00% | 0 | 19.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.17 | 0 | 0 | 0.10 | |||
| 6 | Chad Ruhwedel | Monsters (CLB) | D | 6 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 2 | 0 | 0 | 0.00% | 1 | 18.98 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.14 | |||
| 7 | Jonathan Gruden | Monsters (CLB) | C/LW | 6 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 4 | 0 | 2 | 0.00% | 2 | 18.12 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 66.67% | 0 | 0 | 0.17 | 0 | 0 | 0.13 | |||
| 8 | Kevin Gravel | Monsters (CLB) | D | 6 | 0 | 0 | 0 | -2 | 2 | 0 | 3 | 0 | 0 | 1 | 0.00% | 2 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.17 | |||
| 9 | Jarred Tinordi | Monsters (CLB) | D | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 7 | 1 | 3 | 1 | 0.00% | 7 | 23.92 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
| 10 | Matvey Petrov | Monsters (CLB) | LW | 6 | 0 | 0 | 0 | -1 | 6 | 0 | 3 | 4 | 5 | 2 | 0.00% | 3 | 18.72 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
| 11 | Max Sasson | Monsters (CLB) | C | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 9 | 11 | 4 | 2 | 0.00% | 4 | 20.17 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 69.05% | 0 | 0 | 0.00 | 0 | 0 | 0.16 | |||
| 12 | Joe Snively | Monsters (CLB) | C | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 0 | 0 | 0 | 0.00% | 0 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 13 | Jayson Megna | Monsters (CLB) | C | 6 | 0 | 0 | 0 | -1 | 0 | 0 | 14 | 7 | 2 | 5 | 0.00% | 1 | 18.02 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 54.84% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
| 14 | William Lagesson | Monsters (CLB) | D | 6 | 0 | 0 | 0 | 0 | 4 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 11.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
| 15 | Ryan Ufko | Monsters (CLB) | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 16 | Ian Mitchell | Monsters (CLB) | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 11.01 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.00 | |||
| 17 | Jack Ahcan | Monsters (CLB) | D | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 10.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| 18 | Spencer Stastney | Monsters (CLB) | D | 6 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 1 | 18.52 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| Team Total or Average | 108 | 6 | 8 | 14 | -1 | 26 | 0 | 82 | 69 | 27 | 35 | 8.70% | 37 | 16.69 | 0 | 0 | 0 | 29 | 1 | 1 | 2 | 96 | 2 | 1 | 53.81% | 197 | 21 | 41 | 0 | 0 | 0.16 | 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 | Louis Domingue | Monsters (CLB) | 6 | 2 | 1 | 3 | 0.943 | 1.15 | 364 | 0 | 1 | 7 | 123 | 76 | 0 | 0 | 0.000 | 0 | 6 | 0 | 1 | 0 | 1 |
| Team Total or Average | 6 | 2 | 1 | 3 | 0.943 | 1.15 | 364 | 0 | 1 | 7 | 123 | 76 | 0 | 0 | 0.000 | 0 | 6 | 0 | 1 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Beaucage | RW | 23 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
| Blake McLaughlin | C/LW/RW | 25 | 950,000$ | 975,000$ | |||||||
| Bogdan Trineyev | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Bryce McConnell-Barker | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Chad Ruhwedel | D | 35 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
| Clark Bishop | C | 29 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||
| Gabriel Fortier | LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
| Ian Mitchell | D | 26 | 1,500,000$ | 1,500,000$ | UFA | ||||||
| Jack Ahcan | D | 28 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
| Jack Studnicka | C/RW | 26 | 1,250,000$ | 1,250,000$ | UFA | ||||||
| Jarred Tinordi | D | 33 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
| Jaycob Megna | D | 32 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
| Jayson Megna | C | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| Jesper Wallstedt | G | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
| Joe Snively | C | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
| Jonathan Gruden | C/LW | 25 | 1,250,000$ | 1,250,000$ | |||||||
| Jorian Donovan | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Josh Filmon | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Kevin Gravel | D | 33 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Louis Domingue | G | 33 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
| Luca Cagnoni | D | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Matthew Phillips | RW | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
| Matvey Petrov | LW | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Max Sasson | C | 24 | 870,000$ | 975,000$ | 975,000$ | ||||||
| Mikko Kokkonen | D | 24 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | ||||
| Nathan Légaré | RW | 24 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
| Owen Lindmark | C | 24 | 975,000$ | 975,000$ | |||||||
| Ryan McAllister | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Ryan Ufko | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Ryder Rolston | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Simon Robertsson | RW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Spencer Stastney | D | 25 | 950,000$ | 975,000$ | |||||||
| Troy Grosenick | G | 35 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
| Tyler Pitlick | C/RW | 33 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| William Lagesson | D | 29 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA |
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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 | Marlies | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.333 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 3 | 0 | 69 | 15 | 24 | 28 | 2 | 123 | 37 | 26 | 82 | 3 | 0 | 0.00% | 13 | 1 | 92.31% | 1 | 29 | 58 | 50.00% | 54 | 90 | 60.00% | 23 | 49 | 46.94% | 100 | 33 | 110 | 65 | 154 | 79 | 50.0% | 8.7% | 94.3% | 103.0 | DULL |
| _Vs Conference | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.333 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 3 | 0 | 69 | 15 | 24 | 28 | 2 | 123 | 37 | 26 | 82 | 3 | 0 | 0.00% | 13 | 1 | 92.31% | 1 | 29 | 58 | 50.00% | 54 | 90 | 60.00% | 23 | 49 | 46.94% | 100 | 33 | 110 | 65 | 154 | 79 | 50.0% | 8.7% | 94.3% | 103.0 | DULL | |
| _Since Last GM Reset | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.333 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 3 | 0 | 69 | 15 | 24 | 28 | 2 | 123 | 37 | 26 | 82 | 3 | 0 | 0.00% | 13 | 1 | 92.31% | 1 | 29 | 58 | 50.00% | 54 | 90 | 60.00% | 23 | 49 | 46.94% | 100 | 33 | 110 | 65 | 154 | 79 | 50.0% | 8.7% | 94.3% | 103.0 | DULL | |
| Total | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 4 | 0.333 | 6 | 8 | 14 | 0 | 1 | 1 | 2 | 3 | 0 | 69 | 15 | 24 | 28 | 2 | 123 | 37 | 26 | 82 | 3 | 0 | 0.00% | 13 | 1 | 92.31% | 1 | 29 | 58 | 50.00% | 54 | 90 | 60.00% | 23 | 49 | 46.94% | 100 | 33 | 110 | 65 | 154 | 79 | 50.0% | 8.7% | 94.3% | 103.0 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 16 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 58 |
| Neutral Zone Start | 49 |
| Defensive Zone Start | 90 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 106 |
| Faceoffs Lost | 91 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 2.5 | 9.57 |
| 2nd Period | 6.5 | 20.31 |
| 3rd Period | 11.2 | 30.68 |
| Overtime | 11.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 1.0 | 2.67 |
| Overtime | 1.0 | 2.83 |
| Even Strenght Goal | 5 |
|---|---|
| PP Goal | 0 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 1 | 1 |
| Lost | 2 | 2 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 3 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 13 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 11.5 |
| Shots Against | 20.5 |
| Goals For | 1.0 |
| Goals Against | 1.2 |
| Hits | 13.7 |
| Shots Blocked | 6.2 |
| Pim | 4.3 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Wed, Oct 8 | CLB | @ | TOR | CLB0,TOR1 (OT) | RECAP |
| Thu, Oct 9 | CLB | @ | TOR | CLB2,TOR0 | RECAP |
| Fri, Oct 10 | TOR | @ | CLB | TOR1,CLB2 | RECAP |
| Sat, Oct 11 | TOR | @ | CLB | TOR1,CLB0 | RECAP |
| Sun, Oct 12 | CLB | @ | TOR | CLB1,TOR2 (OT) | RECAP |
| Mon, Oct 13 | TOR | @ | CLB | TOR2,CLB1 (OT) | RECAP |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 5,035,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Cleveland | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 38 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 5,035,000$ | 5,035,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 6 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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