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Cleveland Monsters 15-8-0, 30pts · 1st 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | 0 | LW | 100.00 | 60 | 40 | 72 | 71 | 59 | 61 | 61 | 65 | 43 | 57 | 62 | 60 | 66 | 50 | 50 | 1 | 88 | 0 | 22 | 894,167$/1yrs | |||
Michael Carcone | 58 | C/LW | 100.00 | 54 | 61 | 52 | 72 | 54 | 66 | 67 | 70 | 45 | 68 | 65 | 62 | 69 | 55 | 50 | 1 | 40 | 0 | 27 | 750,000$/2yrs | |||
Robby Fabbri | 0 | C/LW | 100.00 | 67 | 45 | 71 | 75 | 74 | 86 | 78 | 71 | 50 | 69 | 67 | 65 | 71 | 80 | 70 | 1 | 88 | 0 | 28 | 2,455,000$/2yrs | |||
Ross Johnston | 0 | LW | 100.00 | 71 | 65 | 55 | 65 | 90 | 75 | 73 | 66 | 40 | 62 | 60 | 64 | 64 | 80 | 70 | 1 | 61 | 0 | 30 | 750,000$/3yrs | |||
Aleksi Heponiemi | 0 | C/LW | 100.00 | 54 | 40 | 74 | 71 | 52 | 63 | 64 | 64 | 60 | 65 | 56 | 60 | 64 | 52 | 50 | 1 | 41 | 0 | 25 | 750,000$/1yrs | |||
Tyler Pitlick | 0 | RW | 100.00 | 82 | 45 | 89 | 73 | 80 | 80 | 88 | 73 | 40 | 69 | 67 | 70 | 71 | 85 | 75 | 1 | 82 | 0 | 32 | 787,500$/1yrs | |||
Cole Smith | 0 | LW/RW | 100.00 | 85 | 78 | 65 | 75 | 80 | 83 | 78 | 73 | 40 | 73 | 64 | 75 | 71 | 60 | 53 | 1 | 32 | 0 | 28 | 750,000$/1yrs | |||
Emilio Pettersen | 64 | LW | 100.00 | 57 | 37 | 91 | 58 | 66 | 76 | 86 | 57 | 61 | 58 | 59 | 54 | 58 | 62 | 64 | 52 | 88 | 0 | 24 | 750,000$/1yrs | |||
Pavel Mintyukov (R) | 0 | D | 100.00 | 69 | 40 | 85 | 84 | 74 | 80 | 80 | 84 | 1 | 77 | 55 | 65 | 60 | 50 | 50 | 88 | 52 | 0 | 20 | 950,000$/2yrs | |||
Calle Rosen | 0 | D | 100.00 | 61 | 40 | 87 | 77 | 76 | 85 | 81 | 76 | 40 | 70 | 72 | 74 | 75 | 75 | 65 | 1 | 88 | 0 | 30 | 750,000$/1yrs | |||
Gianni Fairbrother | 0 | D | 100.00 | 50 | 48 | 50 | 51 | 53 | 50 | 50 | 50 | 40 | 50 | 50 | 50 | 50 | 50 | 50 | 1 | 46 | 0 | 23 | 848,333$/1yrs | |||
Christian Wolanin | 0 | D | 100.00 | 61 | 40 | 71 | 70 | 63 | 67 | 67 | 66 | 40 | 67 | 56 | 70 | 64 | 58 | 50 | 1 | 78 | 0 | 29 | 750,000$/2yrs | |||
Henri Jokiharju | 0 | D | 100.00 | 68 | 50 | 73 | 75 | 81 | 91 | 83 | 76 | 40 | 70 | 65 | 76 | 72 | 70 | 60 | 1 | 84 | 0 | 24 | 2,500,000$/1yrs | |||
Louie Belpedio | 0 | D | 100.00 | 58 | 57 | 59 | 70 | 62 | 68 | 69 | 65 | 40 | 61 | 58 | 67 | 64 | 55 | 50 | 1 | 84 | 0 | 27 | 750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Jan Jenik | 70 | C | 100.00 | 57 | 51 | 62 | 70 | 57 | 59 | 58 | 61 | 42 | 60 | 53 | 58 | 61 | 50 | 50 | 1 | 66 | 0 | 23 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dustin Wolf | 0 | 100.00 | 75 | 64 | 71 | 54 | 69 | 73 | 75 | 75 | 75 | 72 | 59 | 50 | 50 | 1 | 83 | 0 | 23 | 813,333$/1yrs |
Scratches | ||||||||||||||||||||
Eric Comrie | 0 | 100.00 | 83 | 81 | 80 | 76 | 81 | 78 | 77 | 76 | 77 | 81 | 78 | 78 | 71 | 1 | 19 | 0 | 28 | 850,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul McFarland | 60 | 60 | 60 | 60 | 55 | 55 | 1 | CAN | 37 | 2 | 1,000,000$ |
General Manager |
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Priority | Type | Description |
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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 | Calle Rosen | Monsters (CBJ) | D | 23 | 22 | 34 | 56 | 4 | 4 | 0 | 13 | 184 | 87 | 94 | 11.96% | 21 | 23.58 | 17 | 14 | 31 | 53 | 0 | 1 | 1 | 32 | 5 | 1 | 0.00% | 0 | 29 | 62 | 0 | 1 | 2.06 | 0 | 0 | ||
2 | Robby Fabbri | Monsters (CBJ) | C/LW | 23 | 10 | 16 | 26 | 4 | 2 | 0 | 19 | 104 | 43 | 84 | 9.62% | 4 | 16.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 18 | 33 | 21 | 0 | 0 | 1.40 | 0 | 0 | ||
3 | Adam Beckman | Monsters (CBJ) | LW | 23 | 3 | 9 | 12 | 4 | 2 | 0 | 16 | 68 | 28 | 58 | 4.41% | 1 | 16.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.00% | 15 | 20 | 10 | 0 | 0 | 0.65 | 0 | 0 | ||
4 | Emilio Pettersen | Monsters (CBJ) | LW | 23 | 3 | 9 | 12 | -8 | 0 | 0 | 10 | 75 | 41 | 65 | 4.00% | 3 | 17.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 56.52% | 23 | 16 | 12 | 0 | 0 | 0.58 | 0 | 0 | ||
Team Total or Average | 92 | 38 | 68 | 106 | 4 | 8 | 0 | 58 | 431 | 199 | 301 | 8.82% | 29 | 18.42 | 17 | 14 | 31 | 53 | 0 | 1 | 1 | 32 | 8 | 3 | 55.36% | 56 | 98 | 105 | 0 | 1 | 1.25 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Aleksi Heponiemi | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Calle Rosen | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Christian Wolanin | D | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Cole Smith | LW/RW | 28 | 750,000$ | 750,000$ | UFA | ||||||
Dustin Wolf | G | 23 | 813,333$ | 813,333$ | RFA | ||||||
Emilio Pettersen | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Eric Comrie | G | 28 | 850,000$ | 850,000$ | UFA | ||||||
Gianni Fairbrother | D | 23 | 848,333$ | 848,333$ | RFA | ||||||
Henri Jokiharju | D | 24 | 2,500,000$ | 2,500,000$ | RFA | ||||||
Jan Jenik | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Louie Belpedio | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Michael Carcone | C/LW | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Pavel Mintyukov | D | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Robby Fabbri | C/LW | 28 | 2,455,000$ | 2,455,000$ | 2,455,000$ | UFA | |||||
Ross Johnston | LW | 30 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | UFA | ||||
Tyler Pitlick | RW | 32 | 787,500$ | 787,500$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 29 | 26 | 3 | 8 | 0.667 | 29 | 57 | 86 | 0 | 0 | 9 | 38 | 51 | 6 | 207 | 241 | 217 | 266 | 38 | 155 | 44 | 28 | 79 | 16 | 9 | 56.25% | 14 | 4 | 71.43% | 0 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 47.6% | 14.0% | 83.2% | 97.2 | FUN |
2 | Stars | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 26 | 5 | 6 | 0.429 | 31 | 57 | 88 | 0 | 0 | 9 | 38 | 51 | 6 | 220 | 241 | 217 | 266 | 38 | 157 | 50 | 20 | 82 | 19 | 11 | 57.89% | 10 | 5 | 50.00% | 1 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 48.8% | 14.1% | 83.4% | 97.5 | FUN |
3 | Thunderbirds | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 12 | 4 | 8 | 0.800 | 16 | 30 | 46 | 0 | 0 | 9 | 38 | 51 | 6 | 149 | 241 | 217 | 266 | 38 | 104 | 35 | 14 | 66 | 9 | 1 | 11.11% | 7 | 2 | 71.43% | 0 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 60.0% | 10.7% | 88.5% | 99.2 | FUN |
4 | Crunch | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 28 | 21 | 7 | 8 | 0.800 | 28 | 48 | 76 | 0 | 0 | 9 | 38 | 51 | 6 | 186 | 241 | 217 | 266 | 38 | 130 | 50 | 22 | 80 | 21 | 13 | 61.90% | 12 | 3 | 75.00% | 0 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 45.5% | 15.1% | 83.8% | 98.9 | FUN |
_Vs Division | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 29 | 26 | 3 | 8 | 0.667 | 29 | 57 | 86 | 0 | 0 | 9 | 38 | 51 | 6 | 207 | 241 | 217 | 266 | 38 | 155 | 44 | 28 | 79 | 16 | 9 | 56.25% | 14 | 4 | 71.43% | 0 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 47.6% | 14.0% | 83.2% | 97.2 | FUN | |
_Vs Conference | 16 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 73 | 59 | 14 | 24 | 0.750 | 73 | 135 | 208 | 0 | 0 | 9 | 38 | 51 | 6 | 542 | 241 | 217 | 266 | 38 | 389 | 129 | 64 | 225 | 46 | 23 | 50.00% | 33 | 9 | 72.73% | 0 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 50.0% | 13.5% | 84.8% | 98.3 | FUN | |
_Since Last GM Reset | 23 | 15 | 8 | 0 | 0 | 0 | 0 | 0 | 104 | 85 | 19 | 30 | 0.652 | 104 | 192 | 296 | 0 | 0 | 9 | 38 | 51 | 6 | 762 | 241 | 217 | 266 | 38 | 546 | 179 | 84 | 307 | 65 | 34 | 52.31% | 43 | 14 | 67.44% | 1 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 49.6% | 13.6% | 84.4% | 98.1 | FUN | |
Total | 23 | 15 | 8 | 0 | 0 | 0 | 0 | 0 | 104 | 85 | 19 | 30 | 0.652 | 104 | 192 | 296 | 0 | 0 | 9 | 38 | 51 | 6 | 762 | 241 | 217 | 266 | 38 | 546 | 179 | 84 | 307 | 65 | 34 | 52.31% | 43 | 14 | 67.44% | 1 | 222 | 416 | 53.37% | 134 | 279 | 48.03% | 234 | 471 | 49.68% | 544 | 340 | 511 | 196 | 381 | 192 | 49.6% | 13.6% | 84.4% | 98.1 | FUN |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 416 |
Neutral Zone Start | 471 |
Defensive Zone Start | 279 |
Puck Time | |
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With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 590 |
Faceoffs Lost | 576 |
Team Average Shots after | League Average Shots after | |
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1st Period | 10.5 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 4.3 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 69 |
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PP Goal | 34 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 8 | 7 |
Lost | 5 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 65 |
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PP Goal | 34 |
PK Attempt | 43 |
PK Goal Against | 14 |
Home | |
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Shots For | 33.1 |
Shots Against | 23.7 |
Goals For | 4.5 |
Goals Against | 3.7 |
Hits | 13.3 |
Shots Blocked | 7.8 |
Pim | 3.7 |
Date | Matchup | Result | Detail | |||||||||||
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2024-04-18 | SPR | VS | CLE | SPR4,CLE2 | RECAP | |||||||||
2024-04-20 | SPR | VS | CLE | SPR2,CLE4 | RECAP | |||||||||
2024-04-22 | CLE | VS | SPR | CLE5,SPR3 | RECAP | |||||||||
2024-04-24 | CLE | VS | SPR | CLE3,SPR2 | RECAP | |||||||||
2024-04-26 | SPR | VS | CLE | SPR1,CLE2 (OT) | RECAP | |||||||||
2024-05-02 | SYR | VS | CLE | SYR4,CLE5 (OT) | RECAP | |||||||||
2024-05-04 | SYR | VS | CLE | SYR5,CLE4 (OT) | RECAP | |||||||||
2024-05-06 | CLE | VS | SYR | CLE5,SYR4 | RECAP | |||||||||
2024-05-08 | CLE | VS | SYR | CLE10,SYR5 | RECAP | |||||||||
2024-05-10 | SYR | VS | CLE | SYR3,CLE4 (OT) | RECAP | |||||||||
2024-05-16 | LEV | VS | CLE | LEV3,CLE4 (OT) | RECAP | |||||||||
2024-05-18 | LEV | VS | CLE | LEV6,CLE4 | RECAP | |||||||||
2024-05-20 | CLE | VS | LEV | CLE3,LEV4 | RECAP | |||||||||
2024-05-22 | CLE | VS | LEV | CLE8,LEV5 | RECAP | |||||||||
2024-05-24 | LEV | VS | CLE | LEV6,CLE7 (OT) | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-05-26 | CLE | VS | LEV | CLE3,LEV2 (OT) | RECAP | |||||||||
2024-05-30 | TEX | VS | CLE | TEX4,CLE7 | RECAP | |||||||||
2024-05-31 | TEX | VS | CLE | TEX5,CLE2 | RECAP | |||||||||
2024-06-01 | CLE | VS | TEX | CLE2,TEX3 | RECAP | |||||||||
2024-06-02 | CLE | VS | TEX | CLE3,TEX4 (OT) | RECAP | |||||||||
2024-06-03 | TEX | VS | CLE | TEX2,CLE6 | RECAP | |||||||||
2024-06-04 | CLE | VS | TEX | CLE6,TEX2 | RECAP | |||||||||
2024-06-05 | TEX | VS | CLE | TEX6,CLE5 | RECAP |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,684,833$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Cleveland | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 64178 | 38335 | |||
Attendance PCT | 98.74% | 98.29% | 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 |
28 | 7886 - 98.57% | 195,318$ | 2,539,130$ | 8000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,684,833$ | 1,684,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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