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Full Scoreboard »» |
Full Scoreboard »» |
Cleveland Monsters 0-0-0, 0pts · 6th in Conference 2 |
Player | # | POS | CON | AGE | CONTRACT | |||||||||||||||||||||
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Bobby Brink (R) | 0 | RW | 100.00 | 22 | 750,000$/2yrs | |||||||||||||||||||||
Juraj Slafkovsky | 0 | LW | 100.00 | 19 | 750,000$/2yrs | |||||||||||||||||||||
Noah Ostlund | 0 | C | 100.00 | 20 | 750,000$/2yrs | |||||||||||||||||||||
Owen Beck | 0 | C | 100.00 | 20 | 750,000$/2yrs | |||||||||||||||||||||
Denver Barkey (R) | 0 | C | 100.00 | 18 | 750,000$/1yrs | |||||||||||||||||||||
William Whitelaw (R) | 0 | RW | 100.00 | 19 | 750,000$/1yrs | |||||||||||||||||||||
Zach Nehring (R) | 0 | RW | 100.00 | 19 | 750,000$/1yrs | |||||||||||||||||||||
Gage Goncalves | 0 | C | 100.00 | 23 | 750,000$/2yrs | |||||||||||||||||||||
Isak Rosen | 0 | LW | 100.00 | 21 | 750,000$/1yrs | |||||||||||||||||||||
Jachym Kondelik | 0 | C | 100.00 | 24 | 750,000$/1yrs | |||||||||||||||||||||
Mavrik Bourque | 0 | C | 100.00 | 22 | 750,000$/2yrs | |||||||||||||||||||||
Zachary L'Heureux | 0 | LW | 100.00 | 20 | 750,000$/1yrs | |||||||||||||||||||||
William Stromgren | 0 | LW | 100.00 | 20 | 750,000$/2yrs | |||||||||||||||||||||
Riley Kidney | 0 | C | 100.00 | 21 | 750,000$/1yrs | |||||||||||||||||||||
Ryder Korczak | 0 | C | 100.00 | 21 | 750,000$/2yrs | |||||||||||||||||||||
Kasper Simontaival | 0 | RW | 100.00 | 22 | 750,000$/2yrs | |||||||||||||||||||||
Oliver Kylington | 0 | D | 100.00 | 26 | 1,100,000$/1yrs | |||||||||||||||||||||
Filip Roos | 0 | D | 100.00 | 25 | 750,000$/2yrs | |||||||||||||||||||||
Yegor Zamula | 0 | D | 100.00 | 23 | 750,000$/1yrs | |||||||||||||||||||||
Ryan Healey | 0 | D | 100.00 | 19 | 750,000$/2yrs | |||||||||||||||||||||
Sam Rinzel | 0 | D | 100.00 | 19 | 750,000$/2yrs | |||||||||||||||||||||
Lukas Dragicevic (R) | 0 | D | 100.00 | 18 | 750,000$/1yrs | |||||||||||||||||||||
Luca Munzenberger | 0 | D | 100.00 | 21 | 750,000$/1yrs | |||||||||||||||||||||
Jack Peart (R) | 0 | D | 100.00 | 20 | 750,000$/1yrs | |||||||||||||||||||||
Scratches | ||||||||||||||||||||||||||
Kalle Vaisanen | 0 | LW | 100.00 | 21 | 750,000$/1yrs | |||||||||||||||||||||
Ryan O'Rourke | 0 | D | 100.00 | 21 | 750,000$/2yrs | |||||||||||||||||||||
TEAM AVERAGE | 100.00 |
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 | AGE | CONTRACT | ||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Niklas Kokko | 0 | 100.00 | 20 | 750,000$/2yrs | ||||||||||||||||
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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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 |
# | 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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Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bobby Brink | RW | 22 | 750,000$ | 750,000$ | 750,000$ | ||||||
Denver Barkey | C | 18 | 750,000$ | 750,000$ | |||||||
Filip Roos | D | 25 | 750,000$ | 750,000$ | 750,000$ | ||||||
Gage Goncalves | C | 23 | 750,000$ | 750,000$ | 750,000$ | ||||||
Isak Rosen | LW | 21 | 750,000$ | 750,000$ | |||||||
Jachym Kondelik | C | 24 | 750,000$ | 750,000$ | |||||||
Jack Peart | D | 20 | 750,000$ | 750,000$ | |||||||
Juraj Slafkovsky | LW | 19 | 750,000$ | 750,000$ | 750,000$ | ||||||
Kalle Vaisanen | LW | 21 | 750,000$ | 750,000$ | |||||||
Kasper Simontaival | RW | 22 | 750,000$ | 750,000$ | 750,000$ | ||||||
Luca Munzenberger | D | 21 | 750,000$ | 750,000$ | |||||||
Lukas Dragicevic | D | 18 | 750,000$ | 750,000$ | |||||||
Mavrik Bourque | C | 22 | 750,000$ | 750,000$ | 750,000$ | ||||||
Niklas Kokko | G | 20 | 750,000$ | 750,000$ | 750,000$ | ||||||
Noah Ostlund | C | 20 | 750,000$ | 750,000$ | 750,000$ | ||||||
Oliver Kylington | D | 26 | 1,100,000$ | 1,100,000$ | |||||||
Owen Beck | C | 20 | 750,000$ | 750,000$ | 750,000$ | ||||||
Riley Kidney | C | 21 | 750,000$ | 750,000$ | |||||||
Ryan Healey | D | 19 | 750,000$ | 750,000$ | 750,000$ | ||||||
Ryan O'Rourke | D | 21 | 750,000$ | 750,000$ | 750,000$ | ||||||
Ryder Korczak | C | 21 | 750,000$ | 750,000$ | 750,000$ | ||||||
Sam Rinzel | D | 19 | 750,000$ | 750,000$ | 750,000$ | ||||||
William Stromgren | LW | 20 | 750,000$ | 750,000$ | 750,000$ | ||||||
William Whitelaw | RW | 19 | 750,000$ | 750,000$ | |||||||
Yegor Zamula | D | 23 | 750,000$ | 750,000$ | |||||||
Zach Nehring | RW | 19 | 750,000$ | 750,000$ | |||||||
Zachary L'Heureux | LW | 20 | 750,000$ | 750,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
0$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Cleveland | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 0$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 52 | 0$ | 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 |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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