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Full Scoreboard »» |
![]() | Cleveland Monsters 0-2-0, 0pts · 16th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Max Sasson | 0 | C/LW | 98.00 | 67 | 40 | 81 | 77 | 75 | 81 | 71 | 72 | 65 | 65 | 70 | 68 | 73 | 56 | 50 | 1 | 50 | 68 | 25 | 870,000$/1yrs | |||
Tyler Pitlick | 0 | C/RW | 98.00 | 74 | 50 | 69 | 70 | 74 | 75 | 79 | 66 | 42 | 61 | 62 | 67 | 66 | 82 | 72 | 1 | 50 | 66 | 34 | 2,500,000$/3yrs | |||
Jesper Fast | 0 | RW | 98.00 | 69 | 42 | 81 | 66 | 67 | 73 | 80 | 66 | 44 | 65 | 58 | 64 | 64 | 86 | 73 | 1 | 50 | 65 | 34 | 2,000,000$/4yrs | |||
Jayson Megna | 0 | C/LW/RW | 100.00 | 60 | 43 | 70 | 69 | 61 | 69 | 68 | 66 | 52 | 64 | 62 | 67 | 66 | 75 | 70 | 1 | 50 | 65 | 36 | 2,500,000$/3yrs | |||
Jack Studnicka | 0 | C/RW | 98.00 | 64 | 42 | 72 | 72 | 71 | 74 | 70 | 66 | 50 | 61 | 60 | 63 | 66 | 70 | 62 | 1 | 50 | 64 | 27 | 1,750,000$/4yrs | |||
Luca Del Bel Belluz (R) | 0 | C/LW | 98.00 | 61 | 40 | 74 | 70 | 64 | 63 | 61 | 66 | 64 | 64 | 62 | 60 | 66 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/3yrs | |||
Matthew Phillips | 0 | RW | 100.00 | 53 | 41 | 75 | 72 | 53 | 71 | 69 | 66 | 44 | 65 | 60 | 58 | 66 | 58 | 51 | 1 | 50 | 62 | 28 | 1,200,000$/2yrs | |||
Austin Watson | 0 | LW | 100.00 | 62 | 65 | 51 | 62 | 69 | 72 | 72 | 63 | 42 | 59 | 58 | 62 | 61 | 72 | 62 | 1 | 50 | 62 | 34 | 3,000,000$/4yrs | |||
Clark Bishop | 0 | C | 100.00 | 56 | 46 | 65 | 64 | 63 | 72 | 71 | 63 | 61 | 59 | 58 | 55 | 62 | 63 | 58 | 1 | 50 | 60 | 30 | 1,600,000$/3yrs | |||
Landon Sim (R) | 0 | C/LW/RW | 100.00 | 60 | 42 | 64 | 64 | 62 | 60 | 60 | 60 | 41 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | 1,250,000$/4yrs | |||
Ryder Rolston | 0 | RW | 100.00 | 62 | 41 | 73 | 65 | 65 | 65 | 63 | 62 | 42 | 56 | 55 | 57 | 61 | 52 | 50 | 1 | 50 | 58 | 24 | 975,000$/1yrs | |||
Bryce McConnell-Barker | 0 | C | 100.00 | 60 | 42 | 70 | 65 | 64 | 63 | 62 | 61 | 42 | 56 | 56 | 54 | 60 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/2yrs | |||
Spencer Stastney | 0 | D | 98.00 | 61 | 40 | 84 | 76 | 76 | 86 | 75 | 70 | 40 | 66 | 63 | 73 | 70 | 63 | 53 | 1 | 50 | 69 | 26 | 2,000,000$/4yrs | |||
Jon Merrill | 0 | D | 98.00 | 63 | 40 | 81 | 67 | 74 | 75 | 83 | 65 | 40 | 59 | 59 | 69 | 64 | 87 | 74 | 1 | 50 | 67 | 34 | 2,500,000$/4yrs | |||
Jan Rutta | 0 | D | 100.00 | 59 | 40 | 68 | 67 | 73 | 78 | 76 | 65 | 40 | 61 | 60 | 69 | 64 | 80 | 67 | 1 | 50 | 66 | 35 | 2,000,000$/4yrs | |||
Jack Ahcan | 0 | D | 100.00 | 58 | 44 | 67 | 74 | 57 | 71 | 69 | 68 | 40 | 66 | 61 | 70 | 67 | 59 | 50 | 1 | 50 | 65 | 29 | 1,400,000$/3yrs | |||
William Lagesson | 0 | D | 100.00 | 66 | 44 | 68 | 66 | 68 | 72 | 69 | 63 | 40 | 59 | 54 | 70 | 61 | 64 | 56 | 1 | 50 | 64 | 30 | 1,400,000$/2yrs | |||
Alex Petrovic | 0 | D | 100.00 | 62 | 46 | 63 | 64 | 68 | 72 | 72 | 64 | 40 | 62 | 55 | 68 | 61 | 68 | 61 | 1 | 50 | 64 | 34 | 1,500,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Jonathan Gruden | 0 | LW | 100.00 | 59 | 46 | 63 | 66 | 62 | 67 | 65 | 61 | 60 | 58 | 56 | 59 | 61 | 54 | 50 | 1 | 50 | 59 | 26 | 1,750,000$/4yrs | |||
Nathan Legare (R) | 0 | RW | 100.00 | 61 | 53 | 58 | 63 | 65 | 66 | 64 | 62 | 42 | 53 | 57 | 53 | 60 | 53 | 50 | 1 | 50 | 58 | 25 | 1,750,000$/4yrs | |||
Nathan Légaré | 0 | RW | 100.00 | 61 | 55 | 57 | 63 | 65 | 65 | 63 | 62 | 42 | 53 | 57 | 55 | 61 | 52 | 50 | 1 | 50 | 58 | 25 | 1,400,000$/3yrs | |||
Joe Snively | 0 | C | 100.00 | 51 | 41 | 65 | 60 | 53 | 65 | 64 | 59 | 42 | 59 | 55 | 52 | 58 | 60 | 50 | 1 | 50 | 57 | 30 | ||||
Matvey Petrov | 0 | LW | 100.00 | 61 | 41 | 72 | 63 | 65 | 62 | 60 | 59 | 41 | 53 | 53 | 54 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/1yrs | |||
Ryan McAllister | 0 | LW | 100.00 | 57 | 41 | 70 | 65 | 61 | 61 | 58 | 56 | 41 | 52 | 52 | 53 | 58 | 52 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Josh Filmon | 0 | LW | 100.00 | 56 | 41 | 70 | 65 | 58 | 60 | 57 | 55 | 41 | 52 | 52 | 53 | 57 | 50 | 50 | 1 | 50 | 55 | 22 | 975,000$/2yrs | |||
Simon Robertsson | 0 | RW | 100.00 | 58 | 42 | 70 | 62 | 63 | 61 | 58 | 56 | 41 | 52 | 52 | 54 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/2yrs | |||
Gabriel Fortier | 0 | LW | 100.00 | 54 | 40 | 66 | 59 | 56 | 60 | 58 | 56 | 54 | 52 | 53 | 54 | 56 | 53 | 50 | 1 | 50 | 55 | 26 | 1,750,000$/4yrs | |||
Jackson Kunz (R) | 0 | C | 100.00 | 61 | 40 | 68 | 54 | 70 | 58 | 55 | 52 | 49 | 51 | 50 | 52 | 52 | 51 | 50 | 1 | 50 | 54 | 23 | 1,750,000$/4yrs | |||
Alex Beaucage | 0 | RW | 100.00 | 57 | 40 | 66 | 59 | 59 | 56 | 54 | 52 | 40 | 51 | 50 | 54 | 53 | 51 | 50 | 1 | 50 | 53 | 24 | 1,250,000$/3yrs | |||
Blake McLaughlin | 0 | C/LW/RW | 100.00 | 53 | 40 | 64 | 59 | 56 | 57 | 54 | 52 | 40 | 50 | 50 | 52 | 53 | 53 | 50 | 1 | 50 | 53 | 26 | 1,750,000$/4yrs | |||
Owen Lindmark | 0 | C | 100.00 | 54 | 40 | 63 | 55 | 56 | 55 | 52 | 51 | 46 | 50 | 50 | 51 | 51 | 52 | 50 | 1 | 50 | 52 | 25 | 1,750,000$/4yrs | |||
Jaycob Megna | 0 | D | 100.00 | 66 | 43 | 71 | 63 | 72 | 73 | 72 | 63 | 40 | 56 | 54 | 70 | 60 | 70 | 63 | 1 | 50 | 64 | 33 | 3,500,000$/3yrs | |||
Jarred Tinordi | 0 | D | 100.00 | 66 | 52 | 61 | 59 | 73 | 71 | 71 | 60 | 40 | 53 | 53 | 68 | 58 | 72 | 63 | 1 | 50 | 63 | 34 | 3,000,000$/3yrs | |||
Luca Cagnoni | 0 | D | 100.00 | 56 | 42 | 70 | 73 | 60 | 62 | 59 | 67 | 40 | 65 | 62 | 67 | 67 | 50 | 50 | 1 | 50 | 63 | 21 | 975,000$/2yrs | |||
Ian Mitchell | 0 | D | 100.00 | 63 | 41 | 73 | 70 | 61 | 68 | 66 | 64 | 40 | 63 | 55 | 69 | 63 | 55 | 50 | 1 | 50 | 63 | 27 | 1,750,000$/4yrs | |||
Kevin Gravel | 0 | D | 100.00 | 56 | 43 | 68 | 60 | 66 | 71 | 71 | 62 | 40 | 56 | 53 | 60 | 58 | 70 | 66 | 1 | 50 | 61 | 34 | 1,500,000$/3yrs | |||
Jorian Donovan | 0 | D | 100.00 | 60 | 54 | 58 | 65 | 65 | 63 | 62 | 62 | 40 | 59 | 55 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/2yrs | |||
Sean Behrens (R) | 0 | D | 100.00 | 56 | 41 | 68 | 68 | 55 | 61 | 59 | 59 | 40 | 57 | 52 | 64 | 59 | 51 | 50 | 1 | 50 | 59 | 23 | 2,000,000$/4yrs | |||
Mikko Kokkonen | 0 | D | 100.00 | 56 | 41 | 65 | 59 | 58 | 59 | 57 | 55 | 40 | 53 | 52 | 60 | 55 | 52 | 50 | 1 | 50 | 56 | 25 | 1,350,000$/2yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jesper Wallstedt | 0 | 95.00 | 77 | 74 | 76 | 81 | 81 | 81 | 80 | 81 | 81 | 78 | 73 | 56 | 52 | 1 | 50 | 72 | 23 | 1,200,000$/1yrs |
Magnus Hellberg | 0 | 100.00 | 69 | 72 | 76 | 73 | 72 | 72 | 74 | 71 | 72 | 72 | 69 | 72 | 65 | 1 | 50 | 66 | 35 | 2,500,000$/4yrs |
| Scratches | ||||||||||||||||||||
Louis Domingue | 0 | 100.00 | 66 | 68 | 66 | 66 | 67 | 68 | 70 | 68 | 69 | 66 | 66 | 70 | 63 | 1 | 50 | 62 | 34 | 2,200,000$/3yrs |
Amir Miftakhov | 0 | 100.00 | 66 | 62 | 64 | 57 | 63 | 63 | 66 | 62 | 64 | 64 | 54 | 54 | 50 | 1 | 50 | 58 | 26 | 1,250,000$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Travis Green | 89 | 86 | 89 | 86 | 84 | 79 | 1 | CAN | 55 | 2 | 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 | Jon Merrill | Monsters (CLB) | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 2 | 0 | 3 | 0.00% | 4 | 27.08 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.33 | |||
| 2 | Luca Del Bel Belluz | Monsters (CLB) | C/LW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 7 | 1 | 5 | 0.00% | 0 | 18.14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 37.93% | 0 | 0 | 0.50 | 0 | 0 | 0.44 | |||
| 3 | Max Sasson | Monsters (CLB) | C/LW | 2 | 1 | 0 | 1 | -2 | 2 | 0 | 7 | 9 | 3 | 2 | 11.11% | 1 | 25.12 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 0 | 0.30 | |||
| 4 | Jack Studnicka | Monsters (CLB) | C/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 4 | 6 | 2 | 3 | 16.67% | 0 | 18.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.50 | 0 | 0 | 0.50 | |||
| 5 | Matthew Phillips | Monsters (CLB) | RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 6 | 1 | 5 | 0.00% | 0 | 15.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.86 | |||
| 6 | Jayson Megna | Monsters (CLB) | C/LW/RW | 2 | 0 | 1 | 1 | -1 | 2 | 0 | 4 | 9 | 3 | 1 | 0.00% | 0 | 17.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.38 | |||
| 7 | Tyler Pitlick | Monsters (CLB) | C/RW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 0 | 4 | 1 | 2 | 0.00% | 0 | 20.50 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 47.27% | 0 | 0 | 0.50 | 0 | 0 | 0.27 | |||
| 8 | Austin Watson | Monsters (CLB) | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 4 | 1 | 2 | 25.00% | 0 | 14.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.71 | |||
| 9 | Spencer Stastney | Monsters (CLB) | D | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 3 | 5 | 2 | 4 | 0.00% | 3 | 27.00 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.49 | |||
| 10 | Jesper Fast | Monsters (CLB) | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 8 | 2 | 2 | 0.00% | 0 | 19.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
| 11 | Clark Bishop | Monsters (CLB) | C | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 5 | 3 | 0 | 0.00% | 0 | 14.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.00 | 0 | 0 | 0.40 | |||
| 12 | Ryder Rolston | Monsters (CLB) | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 6.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.11 | |||
| 13 | Bryce McConnell-Barker | Monsters (CLB) | C | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 6.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
| 14 | Landon Sim | Monsters (CLB) | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 15 | Jan Rutta | Monsters (CLB) | D | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 4 | 0 | 1 | 0.00% | 2 | 19.60 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.16 | |||
| 16 | William Lagesson | Monsters (CLB) | D | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 0 | 0 | 1 | 0.00% | 3 | 14.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.06 | |||
| 17 | Jack Ahcan | Monsters (CLB) | D | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 4 | 2 | 1 | 0 | 0.00% | 1 | 19.24 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.41 | |||
| 18 | Alex Petrovic | Monsters (CLB) | D | 2 | 0 | 0 | 0 | 1 | 5 | 5 | 1 | 0 | 0 | 0 | 0.00% | 2 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.20 | |||
| Team Total or Average | 36 | 3 | 6 | 9 | -10 | 13 | 5 | 37 | 73 | 21 | 31 | 4.11% | 17 | 16.51 | 0 | 0 | 0 | 29 | 0 | 0 | 0 | 22 | 0 | 0 | 45.87% | 109 | 16 | 15 | 0 | 0 | 0.30 | 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 | Jesper Wallstedt | Monsters (CLB) | 2 | 0 | 2 | 0 | 0.897 | 3.03 | 119 | 0 | 0 | 6 | 58 | 30 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
| Team Total or Average | 2 | 0 | 2 | 0 | 0.897 | 3.03 | 119 | 0 | 0 | 6 | 58 | 30 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
| 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 | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
| Alex Petrovic | D | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
| Amir Miftakhov | G | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
| Austin Watson | LW | 34 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||
| Blake McLaughlin | C/LW/RW | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Bryce McConnell-Barker | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Clark Bishop | C | 30 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | ||||
| Gabriel Fortier | LW | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Ian Mitchell | D | 27 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Jack Ahcan | D | 29 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
| Jack Studnicka | C/RW | 27 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Jackson Kunz | C | 23 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Jan Rutta | D | 35 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Jarred Tinordi | D | 34 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
| Jaycob Megna | D | 33 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
| Jayson Megna | C/LW/RW | 36 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
| Jesper Fast | RW | 34 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Jesper Wallstedt | G | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
| Joe Snively | C | 30 | 0$ | UFA | |||||||
| Jon Merrill | D | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| Jonathan Gruden | LW | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Jorian Donovan | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Josh Filmon | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Kevin Gravel | D | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
| Landon Sim | C/LW/RW | 21 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||
| Louis Domingue | G | 34 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
| Luca Cagnoni | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Luca Del Bel Belluz | C/LW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Magnus Hellberg | G | 35 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
| Matthew Phillips | RW | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Matvey Petrov | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Max Sasson | C/LW | 25 | 870,000$ | 975,000$ | |||||||
| Mikko Kokkonen | D | 25 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
| Nathan Legare | RW | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Nathan Légaré | RW | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
| Owen Lindmark | C | 25 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
| Ryan McAllister | LW | 24 | 975,000$ | 975,000$ | |||||||
| Ryder Rolston | RW | 24 | 975,000$ | 975,000$ | |||||||
| Sean Behrens | D | 23 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
| Simon Robertsson | RW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Spencer Stastney | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
| Tyler Pitlick | C/RW | 34 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
| William Lagesson | D | 30 | 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 | Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 35 | 17 | 35 | 21 | 0 | 33 | 11 | 6 | 18 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 23 | 42 | 54.76% | 16 | 40 | 40.00% | 11 | 27 | 40.74% | 44 | 25 | 38 | 18 | 37 | 18 | 50.0% | 5.7% | 90.9% | 96.6 | Unlucky |
| 2 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 2 | 0 | 38 | 17 | 35 | 21 | 0 | 25 | 6 | 7 | 19 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 23 | 42 | 54.76% | 16 | 40 | 40.00% | 11 | 27 | 40.74% | 44 | 25 | 38 | 18 | 37 | 18 | 25.0% | 2.6% | 88.0% | 90.6 | Unlucky |
| _Vs Conference | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 73 | 17 | 35 | 21 | 0 | 58 | 17 | 13 | 37 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 23 | 42 | 54.76% | 16 | 40 | 40.00% | 11 | 27 | 40.74% | 44 | 25 | 38 | 18 | 37 | 18 | 37.5% | 4.1% | 89.7% | 93.8 | Unlucky | |
| _Since Last GM Reset | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 73 | 17 | 35 | 21 | 0 | 58 | 17 | 13 | 37 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 23 | 42 | 54.76% | 16 | 40 | 40.00% | 11 | 27 | 40.74% | 44 | 25 | 38 | 18 | 37 | 18 | 37.5% | 4.1% | 89.7% | 93.8 | Unlucky | |
| Total | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 73 | 17 | 35 | 21 | 0 | 58 | 17 | 13 | 37 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 23 | 42 | 54.76% | 16 | 40 | 40.00% | 11 | 27 | 40.74% | 44 | 25 | 38 | 18 | 37 | 18 | 37.5% | 4.1% | 89.7% | 93.8 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 18 |
| Defensive Zone | 19 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 42 |
| Neutral Zone Start | 27 |
| Defensive Zone Start | 40 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 50 |
| Faceoffs Lost | 59 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.5 | 9.57 |
| 2nd Period | 26.0 | 20.31 |
| 3rd Period | 36.5 | 30.68 |
| Overtime | 36.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.5 | 1.65 |
| 3rd Period | 1.5 | 2.67 |
| Overtime | 1.5 | 2.83 |
| Even Strenght Goal | 3 |
|---|---|
| PP Goal | 0 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 0 | 0 |
| Lost | 1 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 4 |
|---|---|
| PP Goal | 0 |
| PK Attempt | 4 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 36.5 |
| Shots Against | 29.0 |
| Goals For | 1.5 |
| Goals Against | 3.0 |
| Hits | 18.5 |
| Shots Blocked | 8.5 |
| Pim | 6.5 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | BOS | @ | CLB | BOS3,CLB2 | RECAP | |||||||||
| Mon, Oct 12 | CLB | @ | OTT | CLB1,OTT3 | RECAP | |||||||||
| Thu, Oct 15 | CLB | @ | NJD | |||||||||||
| Fri, Oct 16 | CLB | @ | MTL | |||||||||||
| Sun, Oct 18 | VAN | @ | CLB | |||||||||||
| Tue, Oct 20 | WAS | @ | CLB | |||||||||||
| Thu, Oct 22 | NJD | @ | CLB | |||||||||||
| Sat, Oct 24 | CLB | @ | PHO | |||||||||||
| Mon, Oct 26 | CLB | @ | WPG | |||||||||||
| Wed, Oct 28 | PHI | @ | CLB | |||||||||||
| Fri, Oct 30 | CLB | @ | VAN | |||||||||||
| Sun, Nov 1 | TOR | @ | CLB | |||||||||||
| Tue, Nov 3 | CLB | @ | TOR | |||||||||||
| Thu, Nov 5 | MTL | @ | CLB | |||||||||||
| Sun, Nov 8 | VAN | @ | CLB | |||||||||||
| Mon, Nov 9 | CLB | @ | BUF | |||||||||||
| Wed, Nov 11 | CLB | @ | BUF | |||||||||||
| Fri, Nov 13 | PHO | @ | CLB | |||||||||||
| Sun, Nov 15 | CLB | @ | TOR | |||||||||||
| Tue, Nov 17 | MIN | @ | CLB | |||||||||||
| Thu, Nov 19 | CLB | @ | WAS | |||||||||||
| Sat, Nov 21 | CLB | @ | WPG | |||||||||||
| Mon, Nov 23 | WPG | @ | CLB | |||||||||||
| Wed, Nov 25 | OTT | @ | CLB | |||||||||||
| Fri, Nov 27 | CLB | @ | STL | |||||||||||
| Sun, Nov 29 | CLB | @ | VAN | |||||||||||
| Mon, Nov 30 | DAL | @ | CLB | |||||||||||
| Wed, Dec 2 | NJD | @ | CLB | |||||||||||
| Fri, Dec 4 | CLB | @ | NJD | |||||||||||
| Sun, Dec 6 | TOR | @ | CLB | |||||||||||
| Mon, Dec 7 | CLB | @ | CAL | |||||||||||
| Wed, Dec 9 | CLB | @ | OTT | |||||||||||
| Fri, Dec 11 | VAN | @ | CLB | |||||||||||
| Sun, Dec 13 | CLB | @ | NYI | |||||||||||
| Tue, Dec 15 | CAL | @ | CLB | |||||||||||
| Thu, Dec 17 | COL | @ | CLB | |||||||||||
| Sat, Dec 19 | CLB | @ | PIT | |||||||||||
| Sun, Dec 20 | CLB | @ | COL | |||||||||||
| Tue, Dec 22 | NYR | @ | CLB | |||||||||||
| Thu, Dec 24 | BOS | @ | CLB | |||||||||||
| Sat, Dec 26 | CLB | @ | MTL | |||||||||||
| Sun, Dec 27 | CLB | @ | EDM | |||||||||||
| Tue, Dec 29 | OTT | @ | CLB | |||||||||||
| Thu, Dec 31 | CLB | @ | PHI | |||||||||||
| Sat, Jan 2 | CHI | @ | CLB | |||||||||||
| Mon, Jan 4 | CLB | @ | BOS | |||||||||||
| Tue, Jan 5 | DET | @ | CLB | |||||||||||
| Thu, Jan 7 | CLB | @ | DET | |||||||||||
| Sat, Jan 9 | STL | @ | CLB | |||||||||||
| Sun, Jan 10 | CLB | @ | CHI | |||||||||||
| Tue, Jan 12 | SEA | @ | CLB | |||||||||||
| Wed, Jan 13 | CLB | @ | S J | |||||||||||
| Fri, Jan 15 | CHI | @ | CLB | |||||||||||
| Mon, Jan 18 | CLB | @ | FLO | |||||||||||
| Tue, Jan 19 | WAS | @ | CLB | |||||||||||
| Thu, Jan 21 | ANA | @ | CLB | |||||||||||
| Sat, Jan 23 | CLB | @ | LOS | |||||||||||
| Mon, Jan 25 | CLB | @ | SEA | |||||||||||
| Tue, Jan 26 | FLO | @ | CLB | |||||||||||
| Thu, Jan 28 | CLB | @ | DAL | |||||||||||
| Sat, Jan 30 | CLB | @ | ANA | |||||||||||
| Sun, Jan 31 | PIT | @ | CLB | |||||||||||
| Tue, Feb 2 | LOS | @ | CLB | |||||||||||
| Thu, Feb 4 | CLB | @ | MIN | |||||||||||
| Sat, Feb 6 | MTL | @ | CLB | |||||||||||
| Mon, Feb 8 | CLB | @ | TAM | |||||||||||
| Tue, Feb 9 | NAS | @ | CLB | |||||||||||
| Fri, Feb 12 | CLB | @ | CAR | |||||||||||
| Sat, Feb 13 | CAR | @ | CLB | |||||||||||
| Tue, Feb 16 | S J | @ | CLB | |||||||||||
| Thu, Feb 18 | CLB | @ | CHI | |||||||||||
| Sat, Feb 20 | BUF | @ | CLB | |||||||||||
| Sun, Feb 21 | CLB | @ | NAS | |||||||||||
| Tue, Feb 23 | CLB | @ | TAM | |||||||||||
| Thu, Feb 25 | TAM | @ | CLB | |||||||||||
| Sat, Feb 27 | CLB | @ | NYR | |||||||||||
| Mon, Mar 1 | BUF | @ | CLB | |||||||||||
| Wed, Mar 3 | CLB | @ | OTT | |||||||||||
| Fri, Mar 5 | S J | @ | CLB | |||||||||||
| Sat, Mar 6 | CLB | @ | OTT | |||||||||||
| Wed, Mar 10 | NYI | @ | CLB | |||||||||||
| Fri, Mar 12 | CLB | @ | NYR | |||||||||||
| Mon, Mar 15 | TAM | @ | CLB | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Fri, Mar 19 | EDM | @ | CLB | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 6,975,000$ | 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 6,975,000$ | 6,975,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 94,907$ | 0$ | 88,735$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 183 | 46,142$ | 7,382,720$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 7,382,720$ | 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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