Full Scoreboard ยป |
Cleveland Monsters 2-3-0, 4pts · 12th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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Ty Voit (R) | 49 | LW | 100.00 | 57 | 38 | 88 | 60 | 75 | 67 | 80 | 62 | 60 | 63 | 56 | 58 | 59 | 61 | 61 | 65 | 75 | 0 | 21 | 835,778$/1yrs | |||
Kyle Clifford | 91 | LW | 100.00 | 83 | 86 | 54 | 61 | 84 | 79 | 78 | 59 | 60 | 63 | 57 | 58 | 56 | 80 | 75 | 45 | 75 | 0 | 33 | 775,000$/1yrs | |||
Isak Rosen (R) | 18 | LW | 100.00 | 58 | 36 | 94 | 64 | 69 | 81 | 86 | 62 | 53 | 60 | 58 | 59 | 61 | 63 | 65 | 84 | 75 | 0 | 21 | 894,167$/2yrs | |||
Nikita Alexandrov (R) | 32 | C | 99.50 | 66 | 37 | 90 | 64 | 73 | 80 | 78 | 63 | 73 | 65 | 66 | 62 | 63 | 64 | 67 | 68 | 75 | 0 | 24 | 816,667$/2yrs | |||
Cooper Marody | 0 | C | 99.50 | 62 | 39 | 81 | 65 | 71 | 83 | 81 | 64 | 70 | 67 | 61 | 62 | 65 | 68 | 70 | 41 | 75 | 0 | 27 | 775,000$/1yrs | |||
Carsen Twarynski | 81 | C/LW/RW | 100.00 | 71 | 38 | 73 | 56 | 80 | 77 | 78 | 55 | 52 | 54 | 57 | 58 | 56 | 67 | 69 | 55 | 75 | 0 | 26 | 775,000$/1yrs | |||
Conor Geekie (R) | 28 | C | 100.00 | 73 | 38 | 77 | 61 | 86 | 67 | 80 | 56 | 64 | 58 | 59 | 58 | 59 | 61 | 61 | 70 | 75 | 0 | 20 | 918,333$/2yrs | |||
James Malatesta (R) | 67 | C/LW | 100.00 | 75 | 41 | 67 | 65 | 68 | 84 | 72 | 64 | 55 | 61 | 62 | 63 | 65 | 61 | 66 | 58 | 75 | 0 | 21 | 841,667$/2yrs | |||
Matt Coronato (R) | 27 | LW/RW | 99.00 | 58 | 36 | 90 | 71 | 70 | 86 | 74 | 68 | 70 | 69 | 63 | 64 | 71 | 62 | 66 | 85 | 75 | 0 | 21 | 925,000$/1yrs | |||
Nikita Nesterenko (R) | 13 | C/LW/RW | 100.00 | 67 | 38 | 85 | 62 | 77 | 81 | 75 | 59 | 64 | 58 | 62 | 57 | 61 | 63 | 65 | 49 | 75 | 0 | 23 | 874,125$/1yrs | |||
Jacob Gaucher | 0 | C | 100.00 | 71 | 39 | 90 | 58 | 80 | 75 | 70 | 57 | 60 | 55 | 56 | 59 | 54 | 63 | 65 | 62 | 75 | 0 | 23 | 775,000$/1yrs | |||
Greg Meireles (R) | 0 | RW | 100.00 | 57 | 36 | 90 | 58 | 66 | 70 | 80 | 57 | 54 | 56 | 55 | 53 | 58 | 65 | 67 | 47 | 75 | 0 | 25 | 775,000$/1yrs | |||
Zach Uens (R) | 77 | D | 99.50 | 64 | 40 | 74 | 53 | 73 | 64 | 63 | 52 | 30 | 54 | 52 | 53 | 45 | 62 | 64 | 62 | 75 | 0 | 23 | 859,167$/1yrs | |||
Zachary Hayes | 18 | D | 99.50 | 85 | 40 | 72 | 56 | 88 | 74 | 78 | 55 | 30 | 52 | 53 | 57 | 46 | 64 | 66 | 43 | 75 | 0 | 25 | 775,000$/1yrs | |||
Artem Guryev (R) | 0 | D | 100.00 | 72 | 56 | 51 | 54 | 91 | 67 | 65 | 55 | 30 | 52 | 53 | 58 | 45 | 61 | 63 | 57 | 75 | 0 | 21 | 860,000$/2yrs | |||
Dillon Heatherington | 50 | D | 99.00 | 76 | 41 | 75 | 57 | 89 | 72 | 83 | 56 | 30 | 55 | 54 | 58 | 47 | 69 | 73 | 58 | 75 | 0 | 29 | 775,000$/1yrs | |||
William Wallinder (R) | 0 | D | 99.50 | 76 | 39 | 95 | 58 | 85 | 68 | 72 | 56 | 30 | 54 | 52 | 57 | 45 | 62 | 64 | 77 | 75 | 0 | 22 | 925,000$/2yrs | |||
Angus Booth (R) | 0 | D | 99.50 | 58 | 35 | 85 | 54 | 80 | 70 | 85 | 55 | 35 | 54 | 53 | 58 | 50 | 60 | 60 | 65 | 75 | 0 | 20 | 826,667$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Blake Murray (R) | 85 | C | 100.00 | 69 | 38 | 94 | 57 | 78 | 67 | 62 | 56 | 65 | 58 | 55 | 57 | 56 | 62 | 64 | 49 | 75 | 0 | 23 | 775,000$/1yrs | |||
Pavel Novak (R) | 80 | RW | 100.00 | 63 | 37 | 85 | 57 | 63 | 81 | 61 | 54 | 55 | 52 | 56 | 51 | 54 | 62 | 64 | 56 | 75 | 0 | 22 | 846,667$/1yrs | |||
Lukas Svejkovsky (R) | 20 | C/RW | 100.00 | 63 | 36 | 93 | 57 | 63 | 75 | 72 | 56 | 56 | 55 | 54 | 51 | 53 | 63 | 65 | 60 | 75 | 0 | 22 | 859,167$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel | 5 | 100.00 | 68 | 78 | 74 | 82 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 65 | 73 | 42 | 75 | 0 | 25 | 775,000$/1yrs |
Hunter Jones | 95 | 100.00 | 67 | 69 | 70 | 85 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 62 | 67 | 69 | 75 | 0 | 24 | 800,000$/1yrs |
Scratches | ||||||||||||||||||||
Louis Domingue | 0 | 100.00 | 76 | 84 | 79 | 85 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 74 | 86 | 49 | 75 | 0 | 32 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 77 | 64 | 71 | 65 | 86 | 81 | 64 | CAN | 56 | 1 | 1,500,000$ |
General Manager |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikita Alexandrov | Monsters (CBJ) | C | 5 | 0 | 3 | 3 | 1 | 0 | 0 | 5 | 8 | 2 | 6 | 0.00% | 2 | 18.35 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 8 | 0 | 0 | 48.08% | 104 | 0 | 0 | 0 | 0 | 0.65 | 0 | 1 | ||
2 | Matt Coronato | Monsters (CBJ) | LW/RW | 5 | 3 | 0 | 3 | 1 | 2 | 0 | 4 | 19 | 5 | 10 | 15.79% | 0 | 25.01 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 8 | 0 | 0 | 42.86% | 21 | 0 | 0 | 0 | 0 | 0.48 | 1 | 1 | ||
3 | Isak Rosen | Monsters (CBJ) | LW | 5 | 1 | 1 | 2 | 0 | 0 | 0 | 5 | 12 | 4 | 6 | 8.33% | 0 | 16.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
4 | Cooper Marody | Monsters (CBJ) | C | 5 | 2 | 0 | 2 | -1 | 0 | 0 | 3 | 24 | 2 | 11 | 8.33% | 0 | 19.37 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 5 | 0 | 0 | 47.97% | 123 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | ||
5 | James Malatesta | Monsters (CBJ) | C/LW | 5 | 0 | 2 | 2 | 2 | 0 | 0 | 14 | 16 | 4 | 9 | 0.00% | 3 | 16.73 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 5 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
6 | Nikita Nesterenko | Monsters (CBJ) | C/LW/RW | 5 | 0 | 2 | 2 | -2 | 0 | 0 | 3 | 14 | 0 | 8 | 0.00% | 1 | 18.07 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
7 | Jacob Gaucher | Monsters (CBJ) | C | 5 | 0 | 2 | 2 | 0 | 0 | 0 | 5 | 10 | 2 | 6 | 0.00% | 0 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.58% | 83 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
8 | Zach Uens | Monsters (CBJ) | D | 5 | 0 | 1 | 1 | -2 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 1 | 17.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | ||
9 | Greg Meireles | Monsters (CBJ) | RW | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 8 | 3 | 4 | 12.50% | 1 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
10 | Angus Booth | Monsters (CBJ) | D | 5 | 0 | 1 | 1 | 3 | 0 | 0 | 5 | 1 | 1 | 1 | 0.00% | 8 | 19.42 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
11 | Ty Voit | Monsters (CBJ) | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 2 | 0.00% | 0 | 7.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Zachary Hayes | Monsters (CBJ) | D | 5 | 0 | 0 | 0 | -1 | 4 | 0 | 6 | 5 | 0 | 0 | 0.00% | 4 | 23.22 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Kyle Clifford | Monsters (CBJ) | LW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 1.13 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Carsen Twarynski | Monsters (CBJ) | C/LW/RW | 5 | 0 | 0 | 0 | -1 | 4 | 0 | 11 | 7 | 0 | 10 | 0.00% | 1 | 17.85 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Artem Guryev | Monsters (CBJ) | D | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 11 | 1 | 2 | 0 | 0.00% | 6 | 17.29 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Dillon Heatherington | Monsters (CBJ) | D | 5 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 2 | 2 | 1 | 0.00% | 8 | 23.50 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Conor Geekie | Monsters (CBJ) | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 0 | 2 | 0.00% | 1 | 7.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.83% | 46 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | William Wallinder | Monsters (CBJ) | D | 5 | 0 | 0 | 0 | 3 | 4 | 0 | 5 | 1 | 1 | 1 | 0.00% | 3 | 19.71 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 90 | 7 | 12 | 19 | 0 | 18 | 0 | 94 | 139 | 28 | 78 | 5.04% | 39 | 16.67 | 0 | 0 | 0 | 79 | 0 | 0 | 0 | 59 | 1 | 0 | 47.29% | 406 | 0 | 0 | 0 | 0 | 0.25 | 1 | 3 |
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 |
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1 | Adam Scheel | Monsters (CBJ) | 5 | 2 | 3 | 0 | 0.939 | 1.59 | 302 | 0 | 0 | 8 | 131 | 0 | 0 | 1 | 1.000 | 3 | 5 | 0 | 0 | 1 | 0 |
Team Total or Average | 5 | 2 | 3 | 0 | 0.939 | 1.59 | 302 | 0 | 0 | 8 | 131 | 0 | 0 | 1 | 1.000 | 3 | 5 | 0 | 0 | 1 | 0 |
Player Name | POS | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Scheel | G | 25 | 775,000$ | 775,000$ | RFA | ||||||
Angus Booth | D | 20 | 826,667$ | 826,667$ | 826,667$ | 826,667$ | RFA | ||||
Artem Guryev | D | 21 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Blake Murray | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Carsen Twarynski | C/LW/RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Conor Geekie | C | 20 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Cooper Marody | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Dillon Heatherington | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Greg Meireles | RW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Hunter Jones | G | 24 | 800,000$ | 800,000$ | RFA | ||||||
Isak Rosen | LW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Jacob Gaucher | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
James Malatesta | C/LW | 21 | 841,667$ | 841,667$ | 841,667$ | RFA | |||||
Kyle Clifford | LW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Louis Domingue | G | 32 | 775,000$ | 775,000$ | UFA | ||||||
Lukas Svejkovsky | C/RW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Matt Coronato | LW/RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Nikita Alexandrov | C | 24 | 816,667$ | 816,667$ | 816,667$ | RFA | |||||
Nikita Nesterenko | C/LW/RW | 23 | 874,125$ | 874,125$ | RFA | ||||||
Pavel Novak | RW | 22 | 846,667$ | 846,667$ | RFA | ||||||
Ty Voit | LW | 21 | 835,778$ | 817,778$ | RFA | ||||||
William Wallinder | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Zach Uens | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
Zachary Hayes | D | 25 | 775,000$ | 775,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Phantoms | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 3 | 1 | 3 | 1 | 22 | 48 | 42 | 45 | 7 | 29 | 9 | 2 | 21 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 60.0% | 13.6% | 93.1% | 106.7 | LUCKY |
2 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 1 | 3 | 1 | 26 | 48 | 42 | 45 | 7 | 24 | 7 | 6 | 21 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 50.0% | 3.8% | 91.7% | 95.5 | DULL |
3 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 1 | 0 | 3 | 1 | 3 | 1 | 23 | 48 | 42 | 45 | 7 | 24 | 2 | 6 | 16 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 0.0% | 0.0% | 91.7% | 91.7 | DULL |
4 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 3 | 1 | 68 | 48 | 42 | 45 | 7 | 55 | 21 | 4 | 36 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 66.7% | 5.9% | 94.5% | 100.4 | DULL |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 3 | 1 | 3 | 1 | 48 | 48 | 42 | 45 | 7 | 53 | 16 | 8 | 42 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 57.1% | 8.3% | 92.5% | 100.8 | DULL | |
_Vs Conference | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 8 | 7 | 1 | 4 | 0.500 | 8 | 12 | 20 | 0 | 0 | 3 | 1 | 3 | 1 | 116 | 48 | 42 | 45 | 7 | 108 | 37 | 12 | 78 | 6 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 61.5% | 6.9% | 93.5% | 100.4 | DULL | |
_Since Last GM Reset | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 4 | 0.400 | 8 | 12 | 20 | 1 | 0 | 3 | 1 | 3 | 1 | 139 | 48 | 42 | 45 | 7 | 132 | 39 | 18 | 94 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 53.3% | 5.8% | 93.2% | 98.9 | DULL | |
Total | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 4 | 0.400 | 8 | 12 | 20 | 1 | 0 | 3 | 1 | 3 | 1 | 139 | 48 | 42 | 45 | 7 | 132 | 39 | 18 | 94 | 8 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 80 | 165 | 48.48% | 80 | 172 | 46.51% | 32 | 63 | 50.79% | 114 | 79 | 124 | 38 | 66 | 32 | 53.3% | 5.8% | 93.2% | 98.9 | DULL |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 13 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 165 |
Neutral Zone Start | 63 |
Defensive Zone Start | 172 |
Puck Time | |
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With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
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Faceoffs Won | 192 |
Faceoffs Lost | 208 |
Team Average Shots after | League Average Shots after | |
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1st Period | 9.6 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 27.0 | 30.68 |
Overtime | 28.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 0.8 | 1.65 |
3rd Period | 1.4 | 2.67 |
Overtime | 1.6 | 2.83 |
Even Strenght Goal | 7 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 1 | 1 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 0 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 27.8 |
Shots Against | 26.4 |
Goals For | 1.6 |
Goals Against | 1.8 |
Hits | 18.8 |
Shots Blocked | 7.8 |
Pim | 3.6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,903,943$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Cleveland | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 8066 | 6000 | |||
Attendance PCT | 80.66% | 100.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
34 | 7033 - 87.91% | 107,970$ | 215,940$ | 8000 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,903,943$ | 1,905,743$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
314,208$ | 9,773$ | 175,914$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,670,980$ | 178 | 17,456$ | 3,089,712$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,089,712$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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