![]() | Cleveland Monsters 41-24-17, 99pts · 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$/4yrs | |||
Mikko Kokkonen | 0 | D | 100.00 | 62 | 42 | 71 | 66 | 64 | 64 | 63 | 61 | 40 | 57 | 54 | 66 | 60 | 52 | 50 | 1 | 50 | 61 | 24 | 1,350,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/2yrs |
Troy Grosenick | 0 | 100.00 | 63 | 62 | 62 | 54 | 60 | 61 | 63 | 60 | 62 | 61 | 59 | 70 | 60 | 1 | 50 | 57 | 35 | 1,250,000$/4yrs |
| Scratches | ||||||||||||||||||||
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$/4yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Travis Green | 86 | 84 | 84 | 84 | 78 | 73 | 1 | CAN | 54 | 3 | 500,000$ |
| 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 | 82 | 32 | 44 | 76 | -10 | 42 | 10 | 117 | 247 | 72 | 140 | 12.96% | 22 | 21.47 | 9 | 24 | 33 | 0 | 0 | 0 | 12 | 3 | 5 | 52.51% | 2 | 0 | 0.93 | 6 | 13 | 0.81 | |||
| 2 | Tyler Pitlick | Monsters (CLB) | C/RW | 82 | 32 | 43 | 75 | -17 | 27 | 5 | 121 | 216 | 74 | 138 | 14.81% | 32 | 23.25 | 15 | 15 | 30 | 0 | 2 | 2 | 132 | 6 | 3 | 48.29% | 2 | 1 | 0.91 | 2 | 17 | 0.77 | |||
| 3 | Matthew Phillips | Monsters (CLB) | RW | 82 | 29 | 22 | 51 | 7 | 20 | 0 | 101 | 151 | 42 | 86 | 19.21% | 18 | 18.41 | 8 | 8 | 16 | 0 | 0 | 0 | 0 | 3 | 7 | 54.17% | 0 | 1 | 0.62 | 1 | 7 | 0.62 | |||
| 4 | Max Sasson | Monsters (CLB) | C | 82 | 22 | 26 | 48 | 13 | 12 | 0 | 111 | 156 | 40 | 110 | 14.10% | 32 | 19.73 | 0 | 0 | 0 | 3 | 1 | 4 | 72 | 6 | 3 | 52.05% | 0 | 0 | 0.59 | 2 | 4 | 0.64 | |||
| 5 | Jayson Megna | Monsters (CLB) | C | 82 | 11 | 32 | 43 | -16 | 24 | 10 | 95 | 106 | 37 | 74 | 10.38% | 13 | 18.28 | 3 | 13 | 16 | 1 | 0 | 1 | 55 | 3 | 0 | 55.89% | 0 | 0 | 0.52 | 6 | 17 | 0.37 | |||
| 6 | Gabriel Fortier | Monsters (CLB) | LW | 82 | 20 | 21 | 41 | -20 | 38 | 10 | 109 | 106 | 43 | 64 | 18.87% | 39 | 22.37 | 8 | 8 | 16 | 1 | 0 | 1 | 127 | 2 | 1 | 48.60% | 0 | 0 | 0.50 | 0 | 0 | 0.33 | |||
| 7 | Jaycob Megna | Monsters (CLB) | D | 82 | 4 | 30 | 34 | -1 | 17 | 5 | 84 | 83 | 34 | 32 | 4.82% | 89 | 23.00 | 4 | 9 | 13 | 0 | 0 | 0 | 151 | 0 | 0 | 100.00% | 0 | 0 | 0.41 | 0 | 0 | 0.38 | |||
| 8 | Jonathan Gruden | Monsters (CLB) | C/LW | 82 | 17 | 8 | 25 | -15 | 49 | 15 | 116 | 71 | 17 | 33 | 23.94% | 15 | 18.54 | 5 | 2 | 7 | 1 | 0 | 1 | 61 | 3 | 1 | 59.38% | 0 | 0 | 0.30 | 0 | 0 | 0.15 | |||
| 9 | Matvey Petrov | Monsters (CLB) | LW | 82 | 10 | 14 | 24 | 19 | 31 | 5 | 115 | 63 | 20 | 39 | 15.87% | 29 | 18.31 | 0 | 0 | 0 | 0 | 3 | 3 | 45 | 3 | 0 | 43.75% | 0 | 0 | 0.29 | 0 | 0 | 0.31 | |||
| 10 | Jarred Tinordi | Monsters (CLB) | D | 82 | 4 | 19 | 23 | -4 | 86 | 30 | 83 | 88 | 37 | 32 | 4.55% | 90 | 24.03 | 3 | 7 | 10 | 0 | 2 | 2 | 128 | 0 | 2 | 75.00% | 0 | 0 | 0.28 | 0 | 0 | 0.13 | |||
| 11 | Spencer Stastney | Monsters (CLB) | D | 82 | 1 | 14 | 15 | -6 | 8 | 0 | 28 | 32 | 13 | 16 | 3.13% | 41 | 18.16 | 1 | 0 | 1 | 0 | 0 | 0 | 95 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 1 | 0.12 | |||
| 12 | Kevin Gravel | Monsters (CLB) | D | 82 | 2 | 10 | 12 | -11 | 14 | 0 | 46 | 36 | 10 | 16 | 5.56% | 40 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 50.00% | 0 | 0 | 0.15 | 0 | 0 | 0.08 | |||
| 13 | Chad Ruhwedel | Monsters (CLB) | D | 82 | 1 | 9 | 10 | -6 | 16 | 0 | 48 | 37 | 9 | 11 | 2.70% | 25 | 18.56 | 0 | 2 | 2 | 0 | 1 | 1 | 94 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.06 | |||
| 14 | Joe Snively | Monsters (CLB) | C | 59 | 2 | 4 | 6 | 3 | 2 | 0 | 15 | 14 | 5 | 5 | 14.29% | 1 | 7.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 38.96% | 0 | 0 | 0.10 | 0 | 1 | 0.09 | |||
| 15 | William Lagesson | Monsters (CLB) | D | 82 | 0 | 2 | 2 | -8 | 27 | 5 | 23 | 19 | 6 | 6 | 0.00% | 18 | 10.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.02 | 0 | 0 | -0.05 | |||
| 16 | Ian Mitchell | Monsters (CLB) | D | 82 | 0 | 1 | 1 | -6 | 7 | 5 | 11 | 5 | 0 | 1 | 0.00% | 19 | 9.81 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.01 | 1 | 1 | -0.02 | |||
| 17 | Jack Ahcan | Monsters (CLB) | D | 82 | 0 | 1 | 1 | -3 | 0 | 0 | 11 | 7 | 0 | 2 | 0.00% | 12 | 9.20 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.01 | 0 | 0 | -0.00 | |||
| 18 | Mikko Kokkonen | Monsters (CLB) | D | 82 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1453 | 187 | 300 | 487 | -80 | 420 | 100 | 1234 | 1437 | 459 | 805 | 13.01% | 535 | 16.67 | 56 | 88 | 144 | 1203 | 6 | 9 | 15 | 1026 | 31 | 22 | 51.06% | 2979 | 353 | 387 | 4 | 2 | 0.40 | 18 | 61 |
| 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) | 62 | 31 | 16 | 12 | 0.884 | 2.25 | 3656 | 2 | 7 | 137 | 1180 | 602 | 2 | 1 | 0.707 | 41 | 62 | 0 | 5 | 3 | 2 |
| 2 | Jesper Wallstedt | Monsters (CLB) | 25 | 10 | 8 | 4 | 0.896 | 2.17 | 1326 | 0 | 2 | 48 | 460 | 265 | 2 | 4 | 0.714 | 14 | 20 | 62 | 1 | 2 | 1 |
| 3 | Troy Grosenick | Monsters (CLB) | 1 | 0 | 0 | 1 | 0.917 | 3.16 | 38 | 0 | 0 | 2 | 24 | 19 | 0 | 0 | 0.400 | 5 | 0 | 20 | 0 | 0 | 0 |
| Team Total or Average | 88 | 41 | 24 | 17 | 0.888 | 2.24 | 5021 | 2 | 9 | 187 | 1664 | 886 | 4 | 5 | 0.683 | 60 | 82 | 82 | 6 | 5 | 3 |
| 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$ | RFA | ||||
| 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 | Gulls | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 30 | 69 | 86 | 26 | 22 | 277 | 570 | 613 | 92 | 23 | 4 | 2 | 26 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 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 | 30 | 69 | 86 | 26 | 43 | 277 | 570 | 613 | 92 | 43 | 14 | 12 | 49 | 9 | 2 | 22.22% | 6 | 1 | 83.33% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 20.0% | 7.0% | 88.4% | 95.3 | Unlucky |
| 3 | Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 30 | 69 | 86 | 26 | 46 | 277 | 570 | 613 | 92 | 40 | 14 | 14 | 30 | 3 | 1 | 33.33% | 2 | 2 | 0.00% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 72.7% | 19.6% | 87.5% | 107.1 | FUN |
| 4 | Americans | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 12 | 17 | -5 | 3 | 0.375 | 12 | 20 | 32 | 0 | 1 | 30 | 69 | 86 | 26 | 75 | 277 | 570 | 613 | 92 | 93 | 30 | 36 | 59 | 11 | 4 | 36.36% | 13 | 3 | 76.92% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 36.4% | 16.0% | 81.7% | 97.7 | FUN |
| 5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 30 | 69 | 86 | 26 | 30 | 277 | 570 | 613 | 92 | 24 | 10 | 6 | 28 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 66.7% | 20.0% | 87.5% | 107.5 | FUN |
| 6 | Wolves | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 5 | 9 | -4 | 2 | 0.333 | 5 | 6 | 11 | 0 | 0 | 30 | 69 | 86 | 26 | 66 | 277 | 570 | 613 | 92 | 99 | 38 | 24 | 43 | 6 | 0 | 0.00% | 12 | 4 | 66.67% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 50.0% | 7.6% | 90.9% | 98.5 | Unlucky |
| 7 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 30 | 69 | 86 | 26 | 28 | 277 | 570 | 613 | 92 | 38 | 10 | 11 | 26 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 0.0% | 3.6% | 86.8% | 90.4 | Unlucky |
| 8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 30 | 69 | 86 | 26 | 33 | 277 | 570 | 613 | 92 | 38 | 12 | 23 | 40 | 4 | 3 | 75.00% | 4 | 1 | 75.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 60.0% | 18.2% | 92.1% | 110.3 | LUCKY |
| 9 | Stars | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 0 | 30 | 69 | 86 | 26 | 20 | 277 | 570 | 613 | 92 | 17 | 7 | 0 | 28 | 2 | 1 | 50.00% | 0 | 0 | 0.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 60.0% | 20.0% | 88.2% | 108.2 | FUN |
| 10 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 30 | 69 | 86 | 26 | 39 | 277 | 570 | 613 | 92 | 73 | 26 | 10 | 32 | 5 | 4 | 80.00% | 5 | 1 | 80.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 25.0% | 15.4% | 90.4% | 105.8 | FUN |
| 11 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 30 | 69 | 86 | 26 | 26 | 277 | 570 | 613 | 92 | 29 | 11 | 28 | 33 | 6 | 3 | 50.00% | 4 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 71.4% | 30.8% | 93.1% | 123.9 | LUCKY |
| 12 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 30 | 69 | 86 | 26 | 43 | 277 | 570 | 613 | 92 | 32 | 8 | 6 | 26 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 100.0% | 16.3% | 93.8% | 110.0 | LUCKY |
| 13 | Reign | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 0 | 3 | 0.750 | 2 | 2 | 4 | 0 | 0 | 30 | 69 | 86 | 26 | 28 | 277 | 570 | 613 | 92 | 31 | 12 | 6 | 25 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 50.0% | 7.1% | 93.5% | 100.7 | DULL |
| 14 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 30 | 69 | 86 | 26 | 35 | 277 | 570 | 613 | 92 | 13 | 1 | 4 | 30 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 83.3% | 14.3% | 92.3% | 106.6 | LUCKY |
| 15 | Rocket | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 7 | 7 | 0 | 6 | 0.750 | 7 | 11 | 18 | 0 | 0 | 30 | 69 | 86 | 26 | 78 | 277 | 570 | 613 | 92 | 49 | 6 | 12 | 54 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 54.5% | 9.0% | 85.7% | 94.7 | FUN |
| 16 | Admirals | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 8 | 15 | 0 | 0 | 30 | 69 | 86 | 26 | 37 | 277 | 570 | 613 | 92 | 50 | 14 | 10 | 29 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 55.6% | 18.9% | 88.0% | 106.9 | FUN |
| 17 | Comets | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 4 | 1 | 5 | 0.625 | 5 | 8 | 13 | 0 | 1 | 30 | 69 | 86 | 26 | 66 | 277 | 570 | 613 | 92 | 49 | 10 | 17 | 62 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 50.0% | 7.6% | 91.8% | 99.4 | DULL |
| 18 | Islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 30 | 69 | 86 | 26 | 21 | 277 | 570 | 613 | 92 | 17 | 7 | 8 | 32 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 25.0% | 19.0% | 82.4% | 101.4 | FUN |
| 19 | Wolf Pack | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 5 | 9 | 1 | 0 | 30 | 69 | 86 | 26 | 27 | 277 | 570 | 613 | 92 | 59 | 18 | 4 | 26 | 9 | 2 | 22.22% | 2 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 28.6% | 14.8% | 91.5% | 106.3 | LUCKY |
| 20 | Belleville Senators | 5 | 0 | 1 | 0 | 0 | 2 | 1 | 1 | 13 | 18 | -5 | 5 | 0.500 | 13 | 23 | 36 | 0 | 0 | 30 | 69 | 86 | 26 | 109 | 277 | 570 | 613 | 92 | 118 | 41 | 46 | 70 | 12 | 3 | 25.00% | 18 | 6 | 66.67% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 45.5% | 11.9% | 84.7% | 96.7 | FUN |
| 21 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 30 | 69 | 86 | 26 | 39 | 277 | 570 | 613 | 92 | 40 | 4 | 2 | 35 | 10 | 4 | 40.00% | 1 | 1 | 0.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 50.0% | 12.8% | 95.0% | 107.8 | LUCKY |
| 22 | Roadrunners | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 30 | 69 | 86 | 26 | 22 | 277 | 570 | 613 | 92 | 34 | 13 | 2 | 34 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 42.9% | 18.2% | 85.3% | 103.5 | FUN |
| 23 | Penguins | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 10 | 1 | 3 | 0.750 | 11 | 17 | 28 | 0 | 0 | 30 | 69 | 86 | 26 | 60 | 277 | 570 | 613 | 92 | 77 | 26 | 16 | 29 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 52.6% | 18.3% | 87.0% | 105.3 | FUN |
| 24 | Barracuda | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 13 | 13 | 0 | 5 | 0.500 | 13 | 22 | 35 | 0 | 0 | 30 | 69 | 86 | 26 | 113 | 277 | 570 | 613 | 92 | 101 | 35 | 28 | 89 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 52.4% | 11.5% | 87.1% | 98.6 | FUN |
| 25 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 30 | 69 | 86 | 26 | 52 | 277 | 570 | 613 | 92 | 72 | 14 | 13 | 28 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 40.0% | 11.5% | 91.7% | 103.2 | LUCKY |
| 26 | Crunch | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 5 | 9 | -4 | 3 | 0.375 | 5 | 7 | 12 | 1 | 0 | 30 | 69 | 86 | 26 | 57 | 277 | 570 | 613 | 92 | 64 | 19 | 19 | 61 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 25.0% | 8.8% | 85.9% | 94.7 | Unlucky |
| 27 | Marlies | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 12 | 15 | -3 | 4 | 0.500 | 12 | 20 | 32 | 0 | 0 | 30 | 69 | 86 | 26 | 89 | 277 | 570 | 613 | 92 | 132 | 51 | 27 | 52 | 8 | 1 | 12.50% | 11 | 5 | 54.55% | 1 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 52.4% | 13.5% | 88.6% | 102.1 | FUN |
| 28 | Canucks | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 12 | 16 | -4 | 3 | 0.375 | 12 | 18 | 30 | 1 | 1 | 30 | 69 | 86 | 26 | 88 | 277 | 570 | 613 | 92 | 106 | 23 | 27 | 72 | 11 | 5 | 45.45% | 11 | 3 | 72.73% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 35.0% | 13.6% | 84.9% | 98.5 | FUN |
| 29 | Hershey Bears | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 7 | -4 | 1 | 0.250 | 3 | 4 | 7 | 0 | 0 | 30 | 69 | 86 | 26 | 40 | 277 | 570 | 613 | 92 | 41 | 13 | 4 | 35 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 14.3% | 7.5% | 82.9% | 90.4 | Unlucky |
| 30 | Silver Knights | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 1 | 0 | 30 | 69 | 86 | 26 | 33 | 277 | 570 | 613 | 92 | 28 | 18 | 6 | 34 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 46.2% | 18.2% | 75.0% | 93.2 | FUN |
| 31 | Checkers 2 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 30 | 69 | 86 | 26 | 26 | 277 | 570 | 613 | 92 | 39 | 32 | 10 | 44 | 3 | 1 | 33.33% | 5 | 0 | 100.00% | 0 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 55.6% | 23.1% | 89.7% | 112.8 | FUN |
| _Vs Division | 17 | 4 | 9 | 0 | 3 | 5 | 2 | 6 | 37 | 40 | -3 | 29 | 0.853 | 37 | 54 | 91 | 1 | 1 | 30 | 69 | 86 | 26 | 319 | 277 | 570 | 613 | 92 | 382 | 116 | 75 | 262 | 46 | 13 | 28.26% | 35 | 7 | 80.00% | 2 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 42.1% | 11.6% | 89.5% | 101.1 | FUN | |
| _Vs Conference | 46 | 12 | 14 | 0 | 3 | 6 | 4 | 7 | 114 | 129 | -15 | 51 | 0.554 | 114 | 177 | 291 | 3 | 3 | 30 | 69 | 86 | 26 | 904 | 277 | 570 | 613 | 92 | 1016 | 308 | 262 | 686 | 109 | 32 | 29.36% | 106 | 30 | 71.70% | 6 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 45.3% | 12.6% | 87.3% | 99.9 | FUN | |
| _Since Last GM Reset | 82 | 25 | 24 | 0 | 8 | 8 | 8 | 9 | 201 | 201 | 0 | 99 | 0.604 | 201 | 306 | 507 | 5 | 7 | 30 | 69 | 86 | 26 | 1491 | 277 | 570 | 613 | 92 | 1669 | 541 | 433 | 1261 | 173 | 56 | 32.37% | 164 | 40 | 75.61% | 6 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 47.4% | 13.5% | 88.0% | 101.4 | FUN | |
| Total | 82 | 25 | 24 | 0 | 8 | 8 | 8 | 9 | 201 | 201 | 0 | 99 | 0.604 | 201 | 306 | 507 | 5 | 7 | 30 | 69 | 86 | 26 | 1491 | 277 | 570 | 613 | 92 | 1669 | 541 | 433 | 1261 | 173 | 56 | 32.37% | 164 | 40 | 75.61% | 6 | 632 | 1195 | 52.89% | 627 | 1247 | 50.28% | 469 | 862 | 54.41% | 1469 | 572 | 1521 | 892 | 2037 | 1032 | 47.4% | 13.5% | 88.0% | 101.4 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 24 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1195 |
| Neutral Zone Start | 862 |
| Defensive Zone Start | 1247 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1728 |
| Faceoffs Lost | 1576 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.4 | 9.57 |
| 2nd Period | 10.3 | 20.31 |
| 3rd Period | 17.8 | 30.68 |
| Overtime | 18.9 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.4 | 0.64 |
| 2nd Period | 1.2 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.6 | 2.83 |
| Even Strenght Goal | 134 |
|---|---|
| PP Goal | 56 |
| PK Goal | 6 |
| Empty Net Goal | 5 |
| Home | Away | |
|---|---|---|
| Win | 28 | 13 |
| Lost | 6 | 18 |
| Overtime Lost | 7 | 10 |
| PP Attempt | 173 |
|---|---|
| PP Goal | 56 |
| PK Attempt | 164 |
| PK Goal Against | 40 |
| Home | |
|---|---|
| Shots For | 18.2 |
| Shots Against | 20.4 |
| Goals For | 2.5 |
| Goals Against | 2.5 |
| Hits | 15.4 |
| Shots Blocked | 6.6 |
| Pim | 5.3 |
| 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 |
| 0 | 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 |
|---|---|---|---|
| 5,560,884$ | 0$ | 5,060,982$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 32,751$ | 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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