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Full Scoreboard »» |
![]() | Cleveland Monsters 29-16-13, 71pts · 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 | 99.00 | 67 | 42 | 74 | 68 | 70 | 76 | 76 | 66 | 45 | 64 | 62 | 67 | 65 | 86 | 66 | 1 | 50 | 66 | 33 | 2,500,000$/4yrs | |||
Jayson Megna | 0 | C | 99.00 | 62 | 42 | 74 | 68 | 62 | 72 | 73 | 66 | 66 | 65 | 60 | 68 | 64 | 85 | 69 | 1 | 50 | 65 | 35 | 2,500,000$/4yrs | |||
Max Sasson | 0 | C | 99.00 | 63 | 41 | 77 | 73 | 71 | 74 | 64 | 66 | 60 | 63 | 62 | 66 | 67 | 52 | 50 | 1 | 50 | 64 | 24 | 870,000$/2yrs | |||
Jack Studnicka | 0 | C/RW | 99.00 | 63 | 45 | 71 | 71 | 67 | 75 | 71 | 67 | 53 | 63 | 60 | 63 | 66 | 70 | 54 | 1 | 50 | 64 | 26 | 1,250,000$/1yrs | |||
Matthew Phillips | 0 | RW | 99.00 | 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 | 99.00 | 59 | 41 | 72 | 66 | 61 | 66 | 64 | 61 | 59 | 56 | 56 | 58 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 1,250,000$/1yrs | |||
Jonathan Gruden | 0 | C/LW | 99.00 | 58 | 48 | 62 | 66 | 60 | 66 | 64 | 61 | 59 | 56 | 55 | 57 | 61 | 53 | 50 | 1 | 50 | 58 | 25 | 1,250,000$/1yrs | |||
Matvey Petrov | 0 | LW | 99.00 | 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 | 99.00 | 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$/4yrs | |||
Mikko Kokkonen | 0 | D | 100.00 | 62 | 42 | 71 | 66 | 64 | 64 | 63 | 61 | 40 | 57 | 54 | 66 | 60 | 52 | 50 | 1 | 50 | 61 | 24 | 1,350,000$/3yrs | |||
| 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 | |||
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$/3yrs | |||
Jorian Donovan (R) | 0 | D | 100.00 | 59 | 48 | 58 | 62 | 62 | 61 | 60 | 60 | 40 | 55 | 55 | 59 | 59 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/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 | 58 | 23 | 33 | 56 | -5 | 29 | 5 | 88 | 181 | 53 | 104 | 12.71% | 15 | 21.36 | 7 | 18 | 25 | 0 | 0 | 0 | 8 | 2 | 3 | 52.94% | 2 | 0 | 0.97 | 4 | 9 | 0.87 | |||
| 2 | Tyler Pitlick | Monsters (CLB) | C/RW | 58 | 18 | 28 | 46 | -12 | 19 | 5 | 84 | 157 | 58 | 101 | 11.46% | 22 | 22.76 | 10 | 14 | 24 | 0 | 1 | 1 | 97 | 3 | 1 | 48.60% | 2 | 0 | 0.79 | 1 | 11 | 0.70 | |||
| 3 | Matthew Phillips | Monsters (CLB) | RW | 58 | 19 | 16 | 35 | 2 | 10 | 0 | 72 | 96 | 34 | 58 | 19.79% | 13 | 18.00 | 7 | 6 | 13 | 0 | 0 | 0 | 0 | 2 | 6 | 52.94% | 0 | 0 | 0.60 | 1 | 6 | 0.59 | |||
| 4 | Gabriel Fortier | Monsters (CLB) | LW | 58 | 15 | 18 | 33 | -12 | 27 | 5 | 80 | 74 | 33 | 51 | 20.27% | 22 | 22.34 | 8 | 7 | 15 | 1 | 0 | 1 | 91 | 2 | 0 | 47.44% | 0 | 0 | 0.57 | 0 | 0 | 0.39 | |||
| 5 | Jayson Megna | Monsters (CLB) | C | 58 | 7 | 24 | 31 | -10 | 18 | 10 | 67 | 68 | 29 | 64 | 10.29% | 5 | 18.39 | 1 | 12 | 13 | 0 | 0 | 0 | 42 | 2 | 0 | 56.76% | 0 | 0 | 0.53 | 3 | 11 | 0.38 | |||
| 6 | Max Sasson | Monsters (CLB) | C | 58 | 15 | 15 | 30 | 4 | 8 | 0 | 74 | 99 | 22 | 76 | 15.15% | 23 | 19.33 | 0 | 0 | 0 | 2 | 0 | 2 | 52 | 4 | 1 | 52.76% | 0 | 0 | 0.52 | 2 | 3 | 0.54 | |||
| 7 | Jaycob Megna | Monsters (CLB) | D | 58 | 3 | 23 | 26 | 0 | 6 | 0 | 58 | 64 | 26 | 21 | 4.69% | 59 | 23.00 | 3 | 6 | 9 | 0 | 0 | 0 | 110 | 0 | 0 | 100.00% | 0 | 0 | 0.45 | 0 | 0 | 0.43 | |||
| 8 | Jonathan Gruden | Monsters (CLB) | C/LW | 58 | 13 | 5 | 18 | -8 | 38 | 10 | 84 | 55 | 10 | 26 | 23.64% | 9 | 18.64 | 5 | 1 | 6 | 0 | 0 | 0 | 45 | 2 | 1 | 65.22% | 0 | 0 | 0.31 | 0 | 0 | 0.16 | |||
| 9 | Matvey Petrov | Monsters (CLB) | LW | 58 | 8 | 9 | 17 | 8 | 16 | 0 | 80 | 48 | 11 | 18 | 16.67% | 17 | 18.04 | 0 | 0 | 0 | 0 | 2 | 2 | 34 | 3 | 0 | 52.63% | 0 | 0 | 0.29 | 0 | 0 | 0.29 | |||
| 10 | Jarred Tinordi | Monsters (CLB) | D | 58 | 3 | 8 | 11 | -4 | 66 | 20 | 54 | 67 | 28 | 26 | 4.48% | 56 | 23.90 | 2 | 2 | 4 | 0 | 0 | 0 | 90 | 0 | 1 | 50.00% | 0 | 0 | 0.19 | 0 | 0 | 0.04 | |||
| 11 | Kevin Gravel | Monsters (CLB) | D | 58 | 2 | 7 | 9 | -7 | 12 | 0 | 33 | 21 | 8 | 13 | 9.52% | 22 | 15.35 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 66.67% | 0 | 0 | 0.16 | 0 | 0 | 0.08 | |||
| 12 | Chad Ruhwedel | Monsters (CLB) | D | 58 | 1 | 8 | 9 | -7 | 14 | 0 | 36 | 29 | 5 | 10 | 3.45% | 17 | 18.56 | 0 | 2 | 2 | 0 | 1 | 1 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.06 | |||
| 13 | Spencer Stastney | Monsters (CLB) | D | 58 | 1 | 8 | 9 | -7 | 6 | 0 | 24 | 25 | 6 | 10 | 4.00% | 33 | 18.20 | 1 | 0 | 1 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 1 | 0.10 | |||
| 14 | Joe Snively | Monsters (CLB) | C | 35 | 2 | 4 | 6 | 6 | 0 | 0 | 10 | 9 | 4 | 5 | 22.22% | 1 | 7.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 34.88% | 0 | 0 | 0.17 | 0 | 1 | 0.19 | |||
| 15 | William Lagesson | Monsters (CLB) | D | 58 | 0 | 2 | 2 | -4 | 21 | 5 | 18 | 16 | 6 | 5 | 0.00% | 7 | 10.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.03 | 0 | 0 | -0.04 | |||
| 16 | Ian Mitchell | Monsters (CLB) | D | 58 | 0 | 1 | 1 | -2 | 2 | 0 | 8 | 3 | 0 | 1 | 0.00% | 15 | 9.91 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 1 | 1 | 0.00 | |||
| 17 | Jack Ahcan | Monsters (CLB) | D | 58 | 0 | 1 | 1 | 0 | 0 | 0 | 9 | 6 | 0 | 1 | 0.00% | 6 | 9.27 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | 0.02 | |||
| 18 | Mikko Kokkonen | Monsters (CLB) | D | 58 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.01 | |||
| Team Total or Average | 1021 | 130 | 210 | 340 | -57 | 292 | 60 | 879 | 1018 | 333 | 590 | 12.77% | 342 | 16.65 | 44 | 68 | 112 | 827 | 3 | 4 | 7 | 748 | 22 | 13 | 51.84% | 1954 | 254 | 263 | 4 | 0 | 0.40 | 12 | 43 |
| 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) | 58 | 29 | 14 | 12 | 0.883 | 2.16 | 3411 | 2 | 7 | 123 | 1050 | 532 | 2 | 1 | 0.684 | 38 | 58 | 0 | 4 | 3 | 2 |
| 2 | Jesper Wallstedt | Monsters (CLB) | 5 | 0 | 2 | 1 | 0.903 | 2.57 | 140 | 0 | 0 | 6 | 62 | 32 | 1 | 1 | 0.750 | 4 | 0 | 58 | 0 | 0 | 0 |
| Team Total or Average | 63 | 29 | 16 | 13 | 0.884 | 2.18 | 3551 | 2 | 7 | 129 | 1112 | 564 | 3 | 2 | 0.690 | 42 | 58 | 58 | 4 | 3 | 2 |
| 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$ | |||||||
| 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$ | RFA | ||||
| Josh Filmon | LW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| 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$ | RFA | |||||
| 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 | Gulls | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 24 | 40 | 65 | 19 | 22 | 218 | 387 | 446 | 64 | 23 | 4 | 2 | 26 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 80.0% | 18.2% | 95.7% | 113.8 | LUCKY |
| 2 | Moose | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 3 | 5 | -2 | 3 | 0.500 | 3 | 4 | 7 | 0 | 0 | 24 | 40 | 65 | 19 | 43 | 218 | 387 | 446 | 64 | 43 | 14 | 12 | 49 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 20.0% | 7.0% | 88.4% | 95.3 | Unlucky |
| 3 | Americans | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 12 | 17 | -5 | 3 | 0.375 | 12 | 20 | 32 | 0 | 1 | 24 | 40 | 65 | 19 | 75 | 218 | 387 | 446 | 64 | 93 | 30 | 36 | 59 | 11 | 4 | 36.36% | 13 | 3 | 76.92% | 1 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 36.4% | 16.0% | 81.7% | 97.7 | FUN |
| 4 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 24 | 40 | 65 | 19 | 22 | 218 | 387 | 446 | 64 | 13 | 4 | 6 | 11 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 75.0% | 18.2% | 84.6% | 102.8 | FUN |
| 5 | Wolves | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 24 | 40 | 65 | 19 | 51 | 218 | 387 | 446 | 64 | 62 | 30 | 14 | 28 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 1 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 66.7% | 7.8% | 93.5% | 101.4 | DULL |
| 6 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 24 | 40 | 65 | 19 | 33 | 218 | 387 | 446 | 64 | 38 | 12 | 23 | 40 | 4 | 3 | 75.00% | 4 | 1 | 75.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 60.0% | 18.2% | 92.1% | 110.3 | LUCKY |
| 7 | Stars | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 24 | 40 | 65 | 19 | 6 | 218 | 387 | 446 | 64 | 6 | 4 | 0 | 12 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 50.0% | 33.3% | 83.3% | 116.7 | FUN |
| 8 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 24 | 40 | 65 | 19 | 14 | 218 | 387 | 446 | 64 | 14 | 4 | 6 | 15 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 50.0% | 28.6% | 85.7% | 114.3 | FUN |
| 9 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 24 | 40 | 65 | 19 | 43 | 218 | 387 | 446 | 64 | 32 | 8 | 6 | 26 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 100.0% | 16.3% | 93.8% | 110.0 | LUCKY |
| 10 | Reign | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 2 | 4 | 0 | 0 | 24 | 40 | 65 | 19 | 28 | 218 | 387 | 446 | 64 | 31 | 12 | 6 | 25 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 50.0% | 7.1% | 93.5% | 100.7 | DULL |
| 11 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 24 | 40 | 65 | 19 | 35 | 218 | 387 | 446 | 64 | 13 | 1 | 4 | 30 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 83.3% | 14.3% | 92.3% | 106.6 | LUCKY |
| 12 | Rocket | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 7 | 7 | 0 | 6 | 0.750 | 7 | 11 | 18 | 0 | 0 | 24 | 40 | 65 | 19 | 78 | 218 | 387 | 446 | 64 | 49 | 6 | 12 | 54 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 1 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 54.5% | 9.0% | 85.7% | 94.7 | FUN |
| 13 | Admirals | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 8 | 15 | 0 | 0 | 24 | 40 | 65 | 19 | 37 | 218 | 387 | 446 | 64 | 50 | 14 | 10 | 29 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 55.6% | 18.9% | 88.0% | 106.9 | FUN |
| 14 | Comets | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.500 | 3 | 4 | 7 | 0 | 1 | 24 | 40 | 65 | 19 | 50 | 218 | 387 | 446 | 64 | 37 | 9 | 15 | 51 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 40.0% | 6.0% | 91.9% | 97.9 | DULL |
| 15 | Islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 24 | 40 | 65 | 19 | 21 | 218 | 387 | 446 | 64 | 17 | 7 | 8 | 32 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 25.0% | 19.0% | 82.4% | 101.4 | FUN |
| 16 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 24 | 40 | 65 | 19 | 16 | 218 | 387 | 446 | 64 | 33 | 11 | 0 | 14 | 7 | 2 | 28.57% | 0 | 0 | 0.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 0.0% | 12.5% | 87.9% | 100.4 | FUN |
| 17 | Belleville Senators | 5 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 13 | 18 | -5 | 5 | 0.500 | 13 | 23 | 36 | 0 | 0 | 24 | 40 | 65 | 19 | 109 | 218 | 387 | 446 | 64 | 118 | 41 | 46 | 70 | 12 | 3 | 25.00% | 18 | 6 | 66.67% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 45.5% | 11.9% | 84.7% | 96.7 | FUN |
| 18 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 24 | 40 | 65 | 19 | 21 | 218 | 387 | 446 | 64 | 6 | 0 | 0 | 22 | 5 | 3 | 60.00% | 0 | 0 | 0.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 0.0% | 14.3% | 83.3% | 97.6 | FUN |
| 19 | Roadrunners | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 24 | 40 | 65 | 19 | 22 | 218 | 387 | 446 | 64 | 34 | 13 | 2 | 34 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 42.9% | 18.2% | 85.3% | 103.5 | FUN |
| 20 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 24 | 40 | 65 | 19 | 32 | 218 | 387 | 446 | 64 | 36 | 7 | 8 | 12 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 57.1% | 15.6% | 91.7% | 107.3 | LUCKY |
| 21 | Barracuda | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 12 | 11 | 1 | 5 | 0.625 | 12 | 20 | 32 | 0 | 0 | 24 | 40 | 65 | 19 | 91 | 218 | 387 | 446 | 64 | 92 | 30 | 26 | 75 | 6 | 2 | 33.33% | 8 | 3 | 62.50% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 55.6% | 13.2% | 88.0% | 101.2 | FUN |
| 22 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 24 | 40 | 65 | 19 | 52 | 218 | 387 | 446 | 64 | 72 | 14 | 13 | 28 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 40.0% | 11.5% | 91.7% | 103.2 | LUCKY |
| 23 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 24 | 40 | 65 | 19 | 17 | 218 | 387 | 446 | 64 | 16 | 5 | 9 | 13 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 25.0% | 5.9% | 81.3% | 87.1 | Unlucky |
| 24 | Canucks | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 16 | -4 | 3 | 0.375 | 12 | 18 | 30 | 1 | 1 | 24 | 40 | 65 | 19 | 88 | 218 | 387 | 446 | 64 | 106 | 23 | 27 | 72 | 11 | 5 | 45.45% | 11 | 3 | 72.73% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 35.0% | 13.6% | 84.9% | 98.5 | FUN |
| 25 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 24 | 40 | 65 | 19 | 40 | 218 | 387 | 446 | 64 | 41 | 13 | 4 | 35 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 14.3% | 7.5% | 82.9% | 90.4 | Unlucky |
| 26 | Checkers 2 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 24 | 40 | 65 | 19 | 26 | 218 | 387 | 446 | 64 | 39 | 32 | 10 | 44 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 55.6% | 23.1% | 89.7% | 112.8 | FUN |
| _Vs Division | 12 | 3 | 7 | 0 | 2 | 4 | 1 | 4 | 24 | 25 | -1 | 20 | 0.833 | 24 | 37 | 61 | 1 | 1 | 24 | 40 | 65 | 19 | 231 | 218 | 387 | 446 | 64 | 232 | 77 | 49 | 194 | 32 | 12 | 37.50% | 22 | 3 | 86.36% | 1 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 35.3% | 10.4% | 89.2% | 99.6 | FUN | |
| _Vs Conference | 32 | 8 | 11 | 0 | 2 | 5 | 2 | 4 | 76 | 88 | -12 | 33 | 0.516 | 76 | 122 | 198 | 2 | 3 | 24 | 40 | 65 | 19 | 641 | 218 | 387 | 446 | 64 | 646 | 190 | 185 | 488 | 78 | 27 | 34.62% | 75 | 19 | 74.67% | 3 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 41.5% | 11.9% | 86.4% | 98.2 | FUN | |
| _Since Last GM Reset | 58 | 17 | 16 | 0 | 7 | 7 | 5 | 6 | 141 | 137 | 4 | 71 | 0.612 | 141 | 216 | 357 | 2 | 6 | 24 | 40 | 65 | 19 | 1072 | 218 | 387 | 446 | 64 | 1114 | 348 | 305 | 906 | 125 | 44 | 35.20% | 120 | 28 | 76.67% | 3 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 47.1% | 13.2% | 87.7% | 100.9 | FUN | |
| Total | 58 | 17 | 16 | 0 | 7 | 7 | 5 | 6 | 141 | 137 | 4 | 71 | 0.612 | 141 | 216 | 357 | 2 | 6 | 24 | 40 | 65 | 19 | 1072 | 218 | 387 | 446 | 64 | 1114 | 348 | 305 | 906 | 125 | 44 | 35.20% | 120 | 28 | 76.67% | 3 | 446 | 840 | 53.10% | 446 | 870 | 51.26% | 328 | 592 | 55.41% | 1045 | 411 | 1057 | 636 | 1453 | 731 | 47.1% | 13.2% | 87.7% | 100.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 18 |
| Neutral Zone | 25 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 840 |
| Neutral Zone Start | 592 |
| Defensive Zone Start | 870 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1220 |
| Faceoffs Lost | 1082 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.8 | 9.57 |
| 2nd Period | 10.4 | 20.31 |
| 3rd Period | 18.1 | 30.68 |
| Overtime | 19.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.4 | 0.64 |
| 2nd Period | 1.1 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 92 |
|---|---|
| PP Goal | 44 |
| PK Goal | 3 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 20 | 9 |
| Lost | 3 | 13 |
| Overtime Lost | 6 | 7 |
| PP Attempt | 125 |
|---|---|
| PP Goal | 44 |
| PK Attempt | 120 |
| PK Goal Against | 28 |
| Home | |
|---|---|
| Shots For | 18.5 |
| Shots Against | 19.2 |
| Goals For | 2.4 |
| Goals Against | 2.4 |
| Hits | 15.6 |
| Shots Blocked | 6.0 |
| Pim | 5.3 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | S J | @ | CLB | S J2,CLB4 | RECAP | |||||||||
| Thu, Oct 9 | CLB | @ | NJD | CLB1,NJD2 (OT) | RECAP | |||||||||
| Sun, Oct 12 | OTT | @ | CLB | OTT4,CLB3 (OT) | RECAP | |||||||||
| Tue, Oct 14 | CLB | @ | OTT | CLB4,OTT3 (SO) | RECAP | |||||||||
| Thu, Oct 16 | CLB | @ | TAM | CLB1,TAM3 | RECAP | |||||||||
| Fri, Oct 17 | CLB | @ | VAN | CLB1,VAN4 | RECAP | |||||||||
| Sun, Oct 19 | NJD | @ | CLB | NJD0,CLB2 | RECAP | |||||||||
| Wed, Oct 22 | S J | @ | CLB | S J3,CLB4 (OT) | RECAP | |||||||||
| Sat, Oct 25 | CLB | @ | CAR | CLB3,CAR2 (SO) | RECAP | |||||||||
| Mon, Oct 27 | VAN | @ | CLB | VAN5,CLB4 (SO) | RECAP | |||||||||
| Wed, Oct 29 | CLB | @ | S J | CLB2,S J3 (OT) | RECAP | |||||||||
| Fri, Oct 31 | WPG | @ | CLB | WPG2,CLB1 (SO) | RECAP | |||||||||
| Sun, Nov 2 | CLB | @ | MTL | CLB1,MTL2 (SO) | RECAP | |||||||||
| Mon, Nov 3 | CLB | @ | OTT | CLB3,OTT4 (SO) | RECAP | |||||||||
| Wed, Nov 5 | BUF | @ | CLB | BUF0,CLB2 | RECAP | |||||||||
| Thu, Nov 6 | CLB | @ | BUF | CLB4,BUF8 | RECAP | |||||||||
| Sun, Nov 9 | MTL | @ | CLB | MTL1,CLB2 (OT) | RECAP | |||||||||
| Tue, Nov 11 | NYI | @ | CLB | NYI1,CLB3 | RECAP | |||||||||
| Thu, Nov 13 | CLB | @ | MTL | CLB3,MTL2 (OT) | RECAP | |||||||||
| Fri, Nov 14 | COL | @ | CLB | COL0,CLB4 | RECAP | |||||||||
| Mon, Nov 17 | CLB | @ | OTT | CLB2,OTT5 | RECAP | |||||||||
| Tue, Nov 18 | CLB | @ | PHO | CLB2,PHO4 | RECAP | |||||||||
| Thu, Nov 20 | PIT | @ | CLB | PIT3,CLB5 | RECAP | |||||||||
| Sat, Nov 22 | WPG | @ | CLB | WPG1,CLB2 (OT) | RECAP | |||||||||
| Tue, Nov 25 | CLB | @ | S J | CLB2,S J3 | RECAP | |||||||||
| Thu, Nov 27 | SEA | @ | CLB | SEA3,CLB4 (OT) | RECAP | |||||||||
| Fri, Nov 28 | CLB | @ | SEA | CLB2,SEA1 (SO) | RECAP | |||||||||
| Sun, Nov 30 | LOS | @ | CLB | LOS1,CLB2 (SO) | RECAP | |||||||||
| Tue, Dec 2 | CLB | @ | VAN | CLB5,VAN7 | RECAP | |||||||||
| Thu, Dec 4 | PHO | @ | CLB | PHO1,CLB2 (SO) | RECAP | |||||||||
| Mon, Dec 8 | FLO | @ | CLB | FLO1,CLB3 | RECAP | |||||||||
| Wed, Dec 10 | CLB | @ | COL | CLB2,COL3 | RECAP | |||||||||
| Fri, Dec 12 | CLB | @ | NJD | CLB0,NJD1 | RECAP | |||||||||
| Sun, Dec 14 | ANA | @ | CLB | ANA1,CLB2 (OT) | RECAP | |||||||||
| Tue, Dec 16 | NAS | @ | CLB | NAS3,CLB5 | RECAP | |||||||||
| Thu, Dec 18 | CLB | @ | FLO | CLB4,FLO1 | RECAP | |||||||||
| Sat, Dec 20 | CAR | @ | CLB | CAR2,CLB1 | RECAP | |||||||||
| Mon, Dec 22 | CLB | @ | STL | CLB3,STL4 | RECAP | |||||||||
| Wed, Dec 24 | CLB | @ | MIN | CLB3,MIN1 | RECAP | |||||||||
| Fri, Dec 26 | CLB | @ | NAS | CLB2,NAS3 (OT) | RECAP | |||||||||
| Sat, Dec 27 | MIN | @ | CLB | MIN0,CLB2 | RECAP | |||||||||
| Wed, Dec 31 | BUF | @ | CLB | BUF3,CLB1 | RECAP | |||||||||
| Sat, Jan 3 | STL | @ | CLB | STL2,CLB3 | RECAP | |||||||||
| Mon, Jan 5 | CLB | @ | WAS | CLB1,WAS4 | RECAP | |||||||||
| Wed, Jan 7 | OTT | @ | CLB | OTT2,CLB1 (OT) | RECAP | |||||||||
| Sat, Jan 10 | MTL | @ | CLB | MTL2,CLB1 (SO) | RECAP | |||||||||
| Sun, Jan 11 | CLB | @ | PHI | CLB3,PHI1 | RECAP | |||||||||
| Tue, Jan 13 | EDM | @ | CLB | EDM2,CLB4 | RECAP | |||||||||
| Fri, Jan 16 | CLB | @ | LOS | CLB0,LOS1 (SO) | RECAP | |||||||||
| Sat, Jan 17 | CLB | @ | ANA | CLB2,ANA0 | RECAP | |||||||||
| Mon, Jan 19 | WAS | @ | CLB | WAS3,CLB2 (OT) | RECAP | |||||||||
| Wed, Jan 21 | CLB | @ | BUF | CLB5,BUF6 (OT) | RECAP | |||||||||
| Thu, Jan 22 | CAL | @ | CLB | CAL2,CLB4 | RECAP | |||||||||
| Sun, Jan 25 | CLB | @ | DAL | CLB2,DAL1 (OT) | RECAP | |||||||||
| Mon, Jan 26 | NYR | @ | CLB | NYR4,CLB2 | RECAP | |||||||||
| Wed, Jan 28 | CLB | @ | WPG | CLB0,WPG2 | RECAP | |||||||||
| Fri, Jan 30 | VAN | @ | CLB | VAN0,CLB2 | RECAP | |||||||||
| Mon, Feb 2 | CLB | @ | NYI | CLB1,NYI2 | RECAP | |||||||||
| Tue, Feb 3 | TAM | @ | CLB | |||||||||||
| Fri, Feb 6 | CLB | @ | CAR | |||||||||||
| Sat, Feb 7 | PHI | @ | CLB | |||||||||||
| Tue, Feb 10 | CLB | @ | DET | |||||||||||
| Wed, Feb 11 | DET | @ | CLB | |||||||||||
| Sat, Feb 14 | CLB | @ | PIT | |||||||||||
| Sun, Feb 15 | TAM | @ | CLB | |||||||||||
| Tue, Feb 17 | CLB | @ | BOS | |||||||||||
| Thu, Feb 19 | CHI | @ | CLB | |||||||||||
| Sun, Feb 22 | CLB | @ | CHI | |||||||||||
| Mon, Feb 23 | CHI | @ | CLB | |||||||||||
| Thu, Feb 26 | BOS | @ | CLB | |||||||||||
| Fri, Feb 27 | CLB | @ | CAL | |||||||||||
| Sat, Feb 28 | CLB | @ | NYR | |||||||||||
| Tue, Mar 3 | NJD | @ | CLB | |||||||||||
| Thu, Mar 5 | CLB | @ | EDM | |||||||||||
| Fri, Mar 6 | CLB | @ | CHI | |||||||||||
| Sun, Mar 8 | DAL | @ | CLB | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 12 | TOR | @ | CLB | |||||||||||
| Sun, Mar 15 | CLB | @ | TOR | |||||||||||
| Mon, Mar 16 | S J | @ | CLB | |||||||||||
| Thu, Mar 19 | CLB | @ | TOR | |||||||||||
| Sat, Mar 21 | TOR | @ | CLB | |||||||||||
| Mon, Mar 23 | CLB | @ | TAM | |||||||||||
| 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 |
| 12 | 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 |
|---|---|---|---|
| 3,890,583$ | 0$ | 3,541,539$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 32,751$ | 1,670,301$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,670,301$ | 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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