 | Cleveland Monsters |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : | Morale : 31 | Team Overall : 70 |
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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 | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Rutger McGroarty (R) | X | 100.00 | 73 | 41 | 82 | 73 | 76 | 82 | 86 | 67 | 55 | 58 | 68 | 72 | 67 | 56 | 56 | 0 | 76 | 66 | N | 0 | 22 | 2 | 950,000$ | |||
| 2 | Chaz Lucius (R) | X | 100.00 | 72 | 41 | 85 | 73 | 73 | 79 | 81 | 67 | 75 | 67 | 65 | 69 | 67 | 63 | 63 | 0 | 63 | 66 | 0 | 23 | 2 | 894,167$ | ||||
| 3 | Judd Caulfield (R) | X | 100.00 | 75 | 45 | 80 | 71 | 71 | 77 | 85 | 65 | 55 | 65 | 65 | 68 | 66 | 60 | 60 | 0 | 76 | 65 | 0 | 25 | 1 | 700,000$ | ||||
| 4 | Matt Copponi (R) | X | 100.00 | 73 | 41 | 80 | 71 | 71 | 76 | 83 | 64 | 68 | 64 | 66 | 66 | 65 | 60 | 60 | 0 | 50 | 65 | 0 | 22 | 1 | 700,000$ | ||||
| 5 | Robert Flinton (R) | X | 100.00 | 78 | 55 | 80 | 71 | 71 | 76 | 84 | 64 | 55 | 64 | 64 | 69 | 63 | 60 | 60 | 0 | 50 | 65 | 0 | 22 | 1 | 700,000$ | ||||
| 6 | Simon Lundmark (R) | X | 100.00 | 73 | 41 | 82 | 71 | 71 | 78 | 86 | 66 | 30 | 66 | 62 | 74 | 65 | 63 | 63 | 0 | 63 | 68 | 0 | 25 | 2 | 850,833$ | ||||
| 7 | Mikko Kokkonen (R) | X | 100.00 | 76 | 41 | 82 | 72 | 72 | 78 | 85 | 65 | 30 | 65 | 62 | 74 | 66 | 63 | 63 | 0 | 63 | 68 | 0 | 25 | 1 | 846,667$ | ||||
| 8 | Artem Grushnikov (R) | X | 100.00 | 80 | 43 | 80 | 71 | 71 | 77 | 86 | 64 | 30 | 64 | 61 | 73 | 62 | 60 | 60 | 0 | 63 | 67 | 0 | 23 | 2 | 836,667$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 75 | 44 | 81 | 72 | 72 | 78 | 85 | 65 | 50 | 64 | 64 | 71 | 65 | 61 | 61 | 0 | 63 | 66 | ||||||||||
| 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nico Daws (R) | 100.00 | 84 | 85 | 87 | 83 | 84 | 84 | 83 | 83 | 84 | 85 | 73 | 66 | 66 | 0 | 81 | 80 | 0 | 25 | 1 | 850,833$ | |
| 2 | Vadim Zherenko (R) | 100.00 | 83 | 84 | 85 | 83 | 83 | 84 | 82 | 83 | 83 | 83 | 74 | 60 | 60 | 0 | 82 | 78 | 0 | 25 | 1 | 775,000$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Carson Bjarnason (R) | 0.00 | 83 | 84 | 85 | 83 | 83 | 84 | 84 | 83 | 83 | 82 | 75 | 56 | 56 | 0 | 55 | 78 | 0 | 20 | 3 | 850,000$ | |
| TEAM AVERAGE | 66.67 | 83 | 84 | 86 | 83 | 83 | 84 | 83 | 83 | 83 | 83 | 74 | 61 | 61 | 0 | 73 | 79 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Trent Vogelhuber | 77 | 75 | 81 | 77 | 50 | 80 | 75 | USA | 36 | 3 | 1,000,000$ |
| 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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|
| 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 |
|---|
| 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 | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Artem Grushnikov | Cleveland Monsters (CBJ) | D | 23 | 2003-03-20 | RUS | Yes | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 836,667$ | 478,095$ | 0$ | 0$ | No | 836,667$ | - | - | - | - | - | - | - | - | 836,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Carson Bjarnason (Out of Payroll) | Cleveland Monsters (CBJ) | G | 20 | 2005-06-30 | CAN | Yes | 186 Lbs | 6 ft3 | No | No | Prospect | No | No | 3 | 2026-01-04 | False | False | Pro & Farm | 850,000$ | 485,714$ | 0$ | 0$ | No | 850,000$ | 850,000$ | - | - | - | - | - | - | - | 850,000$ | 850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Chaz Lucius | Cleveland Monsters (CBJ) | C | 23 | 2003-05-02 | USA | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 894,167$ | 510,953$ | 0$ | 0$ | No | 894,167$ | - | - | - | - | - | - | - | - | 894,167$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Judd Caulfield | Cleveland Monsters (CBJ) | RW | 25 | 2001-03-19 | USA | Yes | 220 Lbs | 6 ft3 | No | No | Prospect | Yes | No | 1 | 2025-10-28 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Matt Copponi | Cleveland Monsters (CBJ) | C | 22 | 2003-06-04 | USA | Yes | 174 Lbs | 5 ft11 | No | No | Prospect | No | No | 1 | 2026-01-04 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Mikko Kokkonen | Cleveland Monsters (CBJ) | D | 25 | 2001-01-18 | FIN | Yes | 201 Lbs | 6 ft0 | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 846,667$ | 483,810$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Nico Daws | Cleveland Monsters (CBJ) | G | 25 | 2000-12-22 | GER | Yes | 203 Lbs | 6 ft4 | No | No | N/A | Yes | No | 1 | 2025-07-31 | False | False | Pro & Farm | 850,833$ | 486,190$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Robert Flinton | Cleveland Monsters (CBJ) | LW | 22 | 2003-08-16 | USA | Yes | 213 Lbs | 6 ft2 | No | No | Prospect | No | No | 1 | 2026-01-04 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Rutger McGroarty | Cleveland Monsters (CBJ) | RW | 22 | 2004-03-30 | USA | Yes | 212 Lbs | 6 ft1 | Yes | No | Prospect | No | No | 2 | 2025-11-01 | False | False | Pro & Farm | 950,000$ | 542,857$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 700,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Simon Lundmark | Cleveland Monsters (CBJ) | D | 25 | 2000-10-08 | SWE | Yes | 201 Lbs | 6 ft2 | No | No | N/A | Yes | No | 2 | 2025-08-01 | False | False | Pro & Farm | 850,833$ | 486,190$ | 0$ | 0$ | No | 850,833$ | - | - | - | - | - | - | - | - | 850,833$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Vadim Zherenko | Cleveland Monsters (CBJ) | G | 25 | 2001-03-15 | RUS | Yes | 210 Lbs | 6 ft4 | No | No | Prospect | No | No | 1 | 2025-11-01 | False | False | Pro & Farm | 775,000$ | 442,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 11 | 23.36 | 200 Lbs | 6 ft2 | 1.55 | 814,015$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 32 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 13 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 32 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 13 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Custom OT Lines Forwards |
|---|
| , , , , , , , , , |
| Custom OT Lines Defensemen |
|---|
| , , , , |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 15 |
| Attendance | 0% | 0% |
| Attendance PCT | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 36 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 810,417$ | 777,917$ | 1,000,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 8 | 0$ | 0$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 7 | 72 | 30 | 25 | 0 | 6 | 6 | 1 | 4 | 112 | 103 | 9 | 36 | 17 | 10 | 0 | 4 | 4 | 0 | 1 | 60 | 46 | 14 | 36 | 13 | 15 | 0 | 2 | 2 | 1 | 3 | 52 | 57 | -5 | 84 | 112 | 216 | 328 | 1 | 17 | 15 | 37 | 53 | 8 | 667 | 115 | 247 | 289 | 33 | 776 | 266 | 3957 | 480 | 354 | 25 | 7.06% | 290 | 24 | 91.72% | 1 | 423 | 799 | 52.94% | 409 | 789 | 51.84% | 391 | 707 | 55.30% | 2034 | 1654 | 1674 | 380 | 653 | 322 |
| Total Regular Season | 72 | 30 | 25 | 0 | 6 | 6 | 1 | 4 | 112 | 103 | 9 | 36 | 17 | 10 | 0 | 4 | 4 | 0 | 1 | 60 | 46 | 14 | 36 | 13 | 15 | 0 | 2 | 2 | 1 | 3 | 52 | 57 | -5 | 84 | 112 | 216 | 328 | 1 | 17 | 15 | 37 | 53 | 8 | 667 | 115 | 247 | 289 | 33 | 776 | 266 | 3957 | 480 | 354 | 25 | 7.06% | 290 | 24 | 91.72% | 1 | 423 | 799 | 52.94% | 409 | 789 | 51.84% | 391 | 707 | 55.30% | 2034 | 1654 | 1674 | 380 | 653 | 322 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Playoff | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
Abbotsford Canucks
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Chicago Wolves
Hartford Wolf Pack
Hershey Bears
Laval Rockets
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Syracuse Crunch
Toronto Marlies
Utica Comets
W-B/Scranton Penguins
Bakersfield Condors
Calgary Wranglers
Colorado Eagles
Firebirds
Grand Rapids Griffins
Henderson Silver Knights
Iowa Wild
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Springfield Thunderbirds
Texas Stars
Tucson Roadrunners
