Cleveland Monsters | |
GP: 24 | W: 17 | L: 7 | OTL: 0 | P: 34 GF: 158 | GA: 78 | PP%: 14.63% | PK%: 86.96% GM : Jeff Roukema | Morale : 40 | Team Overall : 61 Next Games #418 vs Bakersfield Condors |
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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 | Egor Sokolov | X | X | 100.00 | 56 | 58 | 65 | 67 | 74 | 70 | 68 | 64 | 55 | 61 | 62 | 65 | 57 | 59 | 55 | 0 | 40 | 64 | 0 | 24 | 1 | 775,000$ | |||
2 | Aatu Raty | X | 100.00 | 55 | 61 | 69 | 61 | 69 | 70 | 67 | 65 | 70 | 64 | 61 | 66 | 54 | 55 | 53 | 0 | 40 | 63 | 0 | 22 | 1 | 836,667$ | ||||
3 | James Malatesta | X | 100.00 | 63 | 60 | 71 | 63 | 65 | 68 | 65 | 59 | 55 | 59 | 61 | 65 | 55 | 55 | 54 | 0 | 40 | 62 | 0 | 21 | 2 | 841,667$ | ||||
4 | Luca Del Bel Belluz | X | 100.00 | 56 | 56 | 71 | 61 | 66 | 68 | 65 | 62 | 71 | 61 | 58 | 65 | 58 | 55 | 53 | 0 | 40 | 62 | 0 | 21 | 2 | 891,667$ | ||||
5 | Oskar Olausson | X | X | 100.00 | 57 | 60 | 70 | 60 | 69 | 64 | 62 | 59 | 56 | 58 | 59 | 63 | 58 | 56 | 54 | 0 | 40 | 60 | 0 | 22 | 2 | 863,333$ | |||
6 | Jean-Luc Foudy | X | 100.00 | 57 | 54 | 71 | 60 | 65 | 61 | 59 | 58 | 55 | 58 | 56 | 62 | 55 | 56 | 55 | 0 | 40 | 59 | 0 | 22 | 1 | 847,500$ | ||||
7 | Filip Bystedt | X | 100.00 | 56 | 54 | 69 | 55 | 74 | 56 | 55 | 55 | 55 | 55 | 55 | 60 | 54 | 52 | 51 | 0 | 40 | 57 | 0 | 20 | 3 | 918,333$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 58 | 69 | 61 | 69 | 65 | 63 | 60 | 60 | 59 | 59 | 64 | 56 | 55 | 54 | 0 | 40 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nolan Maier | 100.00 | 55 | 54 | 54 | 55 | 66 | 54 | 72 | 54 | 61 | 55 | 68 | 56 | 53 | 0 | 40 | 59 | 0 | 23 | 2 | 700,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 55 | 54 | 54 | 55 | 66 | 54 | 72 | 54 | 61 | 55 | 68 | 56 | 53 | 0 | 40 | 59 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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 |
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1 | Aatu Raty | Cleveland Monsters (CBJ) | C | 24 | 27 | 43 | 70 | 46 | 6 | 0 | 43 | 60 | 270 | 69 | 246 | 10.00% | 46 | 553 | 23.08 | 0 | 1 | 1 | 17 | 38 | 1 | 1 | 2 | 2 | 23 | 2 | 1 | 69.19% | 792 | 0 | 0 | 0 | 3 | 2.53 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 2 |
2 | Egor Sokolov | Cleveland Monsters (CBJ) | LW/RW | 23 | 29 | 34 | 63 | 43 | 6 | 0 | 43 | 51 | 278 | 75 | 196 | 10.43% | 31 | 546 | 23.74 | 1 | 0 | 1 | 14 | 37 | 1 | 1 | 2 | 6 | 23 | 4 | 0 | 63.79% | 116 | 0 | 0 | 1 | 3 | 2.31 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 |
3 | Oskar Olausson | Cleveland Monsters (CBJ) | LW/RW | 24 | 17 | 36 | 53 | 38 | 11 | 5 | 38 | 38 | 192 | 65 | 148 | 8.85% | 20 | 497 | 20.71 | 0 | 1 | 1 | 15 | 38 | 0 | 0 | 0 | 0 | 5 | 2 | 0 | 58.76% | 97 | 0 | 0 | 0 | 2 | 2.13 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 2 |
4 | James Malatesta | Cleveland Monsters (CBJ) | LW | 24 | 17 | 29 | 46 | 28 | 11 | 5 | 31 | 34 | 205 | 47 | 129 | 8.29% | 25 | 449 | 18.72 | 1 | 3 | 4 | 18 | 33 | 0 | 0 | 0 | 3 | 10 | 1 | 0 | 54.55% | 33 | 0 | 0 | 0 | 1 | 2.05 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 1 |
5 | Filip Bystedt | Cleveland Monsters (CBJ) | C | 24 | 12 | 34 | 46 | 30 | 0 | 0 | 37 | 36 | 143 | 41 | 119 | 8.39% | 22 | 469 | 19.58 | 2 | 3 | 5 | 11 | 31 | 0 | 0 | 0 | 0 | 8 | 3 | 1 | 58.43% | 166 | 0 | 0 | 0 | 0 | 1.96 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 0 |
6 | Luca Del Bel Belluz | Cleveland Monsters (CBJ) | C | 24 | 20 | 25 | 45 | 24 | 2 | 0 | 28 | 57 | 169 | 53 | 129 | 11.83% | 27 | 459 | 19.14 | 2 | 2 | 4 | 13 | 33 | 0 | 0 | 0 | 1 | 10 | 3 | 0 | 66.84% | 588 | 0 | 0 | 0 | 0 | 1.96 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 |
7 | Jean-Luc Foudy | Cleveland Monsters (CBJ) | C | 24 | 25 | 8 | 33 | 9 | 7 | 5 | 68 | 83 | 231 | 63 | 155 | 10.82% | 69 | 469 | 19.58 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 61.53% | 681 | 0 | 0 | 0 | 2 | 1.40 | 0 | 0 | 1 | 0 | 0 | 2 | 1 | 3 |
Team Total or Average | 167 | 147 | 209 | 356 | 218 | 43 | 15 | 288 | 359 | 1488 | 413 | 1122 | 9.88% | 240 | 3445 | 20.63 | 6 | 10 | 16 | 89 | 216 | 2 | 2 | 4 | 12 | 83 | 15 | 3 | 64.94% | 2473 | 0 | 0 | 1 | 11 | 2.07 | 0 | 0 | 3 | 0 | 0 | 14 | 17 | 16 |
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 | Nolan Maier | Cleveland Monsters (CBJ) | 23 | 16 | 7 | 0 | 0.928 | 3.18 | 1379 | 0 | 0 | 73 | 1009 | 0 | 1 | 1 | 0 | 0 | 23 | 0 | 3 | 2 | 1 |
Team Total or Average | 23 | 16 | 7 | 0 | 0.928 | 3.18 | 1379 | 0 | 0 | 73 | 1009 | 0 | 1 | 1 | 0 | 23 | 0 | 3 | 2 | 1 |
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 |
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Aatu Raty | Cleveland Monsters (CBJ) | C | 22 | 2002-11-14 | FIN | No | 187 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-09-20 | False | False | Pro & Farm | 836,667$ | 577,904$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Egor Sokolov | Cleveland Monsters (CBJ) | LW/RW | 24 | 2000-06-07 | RUS | No | 216 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-09-20 | False | False | Pro & Farm | 775,000$ | 535,309$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Filip Bystedt | Cleveland Monsters (CBJ) | C | 20 | 2004-02-04 | SWE | No | 198 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2024-09-20 | False | False | Pro & Farm | 918,333$ | 634,312$ | 0$ | 0$ | No | 918,333$ | 918,333$ | - | - | - | - | - | - | - | 918,333$ | 918,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
James Malatesta | Cleveland Monsters (CBJ) | LW | 21 | 2003-05-31 | CAN | No | 191 Lbs | 5 ft8 | No | No | Assign Manually | No | No | 2 | 2024-08-03 | False | False | Pro & Farm | 841,667$ | 581,358$ | 0$ | 0$ | No | 841,667$ | - | - | - | - | - | - | - | - | 841,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jean-Luc Foudy | Cleveland Monsters (CBJ) | C | 22 | 2002-05-13 | CAN | No | 176 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2024-08-03 | False | False | Pro & Farm | 847,500$ | 585,387$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Luca Del Bel Belluz | Cleveland Monsters (CBJ) | C | 21 | 2003-11-10 | CAN | No | 182 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-08-03 | False | False | Pro & Farm | 891,667$ | 615,894$ | 0$ | 0$ | No | 891,667$ | - | - | - | - | - | - | - | - | 891,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Nolan Maier | Cleveland Monsters (CBJ) | G | 23 | 2001-01-10 | CAN | No | 172 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-10-07 | False | False | Pro & Farm | 700,000$ | 483,505$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Oskar Olausson | Cleveland Monsters (CBJ) | LW/RW | 22 | 2002-11-10 | SWE | No | 180 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-08-03 | False | False | Pro & Farm | 863,333$ | 596,323$ | 0$ | 0$ | No | 863,333$ | - | - | - | - | - | - | - | - | 863,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
8 | 21.88 | 188 Lbs | 6 ft0 | 1.75 | 834,271$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Egor Sokolov | Aatu Raty | Oskar Olausson | 40 | 1 | 2 | 2 |
2 | James Malatesta | Luca Del Bel Belluz | Filip Bystedt | 30 | 1 | 2 | 2 |
3 | Jean-Luc Foudy | 20 | 1 | 2 | 2 | ||
4 | Egor Sokolov | Filip Bystedt | Aatu Raty | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | Luca Del Bel Belluz | James Malatesta | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Egor Sokolov | Aatu Raty | Oskar Olausson | 60 | 1 | 2 | 2 |
2 | James Malatesta | Luca Del Bel Belluz | Filip Bystedt | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Egor Sokolov | Aatu Raty | 60 | 1 | 2 | 2 |
2 | Luca Del Bel Belluz | James Malatesta | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Egor Sokolov | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | ||
2 | Aatu Raty | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Egor Sokolov | Aatu Raty | 60 | 1 | 2 | 2 |
2 | Luca Del Bel Belluz | James Malatesta | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Egor Sokolov | Aatu Raty | Oskar Olausson |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Egor Sokolov | Aatu Raty | Oskar Olausson |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jean-Luc Foudy, Oskar Olausson, Filip Bystedt | Jean-Luc Foudy, Oskar Olausson | Filip Bystedt |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
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Egor Sokolov, Aatu Raty, Luca Del Bel Belluz, James Malatesta, Oskar Olausson |
Goalie |
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#1 : Nolan Maier, #2 : |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
1 | Bakersfield Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 74 | 39 | 45 | 0 | 71 | 591 | 558 | 634 | 0 | 42 | 16 | 2 | 14 | 5 | 2 | 40.00% | 1 | 1 | 0.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
2 | Bridgeport Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 74 | 39 | 45 | 0 | 32 | 591 | 558 | 634 | 0 | 71 | 14 | 9 | 12 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
3 | Calgary Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 74 | 39 | 45 | 0 | 81 | 591 | 558 | 634 | 0 | 90 | 36 | 6 | 33 | 9 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
4 | Charlotte Checkers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 74 | 39 | 45 | 0 | 40 | 591 | 558 | 634 | 0 | 46 | 17 | 0 | 21 | 2 | 0 | 0.00% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
5 | Chicago Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 74 | 39 | 45 | 0 | 65 | 591 | 558 | 634 | 0 | 50 | 9 | 5 | 33 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
6 | Coachella Valley Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 74 | 39 | 45 | 0 | 58 | 591 | 558 | 634 | 0 | 36 | 10 | 6 | 24 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
7 | Colorado Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 2 | 1.000 | 8 | 13 | 21 | 0 | 0 | 74 | 39 | 45 | 0 | 107 | 591 | 558 | 634 | 0 | 29 | 8 | 6 | 22 | 0 | 0 | 0% | 2 | 0 | 100.00% | 1 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
8 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 74 | 39 | 45 | 0 | 44 | 591 | 558 | 634 | 0 | 52 | 19 | 2 | 10 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
9 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 7 | 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 4 | 1.000 | 23 | 39 | 62 | 0 | 0 | 74 | 39 | 45 | 0 | 228 | 591 | 558 | 634 | 0 | 92 | 24 | 0 | 35 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
10 | Laval Rocket | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 11 | 17 | 28 | 0 | 0 | 74 | 39 | 45 | 0 | 131 | 591 | 558 | 634 | 0 | 128 | 36 | 2 | 34 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
11 | Manitoba Moose | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 74 | 39 | 45 | 0 | 31 | 591 | 558 | 634 | 0 | 41 | 8 | 2 | 11 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
12 | Milwaukee Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 3 | 12 | 2 | 1.000 | 15 | 26 | 41 | 0 | 0 | 74 | 39 | 45 | 0 | 138 | 591 | 558 | 634 | 0 | 34 | 9 | 2 | 18 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
13 | Ontario Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 74 | 39 | 45 | 0 | 39 | 591 | 558 | 634 | 0 | 64 | 27 | 4 | 22 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
14 | Providence Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 2 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 2 | 11 | 2 | 1.000 | 13 | 23 | 36 | 0 | 0 | 74 | 39 | 45 | 0 | 116 | 591 | 558 | 634 | 0 | 35 | 18 | 4 | 23 | 0 | 0 | 0% | 2 | 1 | 50.00% | 1 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
15 | Rochester Americans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 74 | 39 | 45 | 0 | 70 | 591 | 558 | 634 | 0 | 32 | 10 | 0 | 19 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
16 | Rockford IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 74 | 39 | 45 | 0 | 39 | 591 | 558 | 634 | 0 | 37 | 10 | 0 | 15 | 5 | 1 | 20.00% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
17 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 10 | 2 | 1.000 | 13 | 24 | 37 | 0 | 0 | 74 | 39 | 45 | 0 | 138 | 591 | 558 | 634 | 0 | 32 | 11 | 0 | 30 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
18 | San Jose Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 74 | 39 | 45 | 0 | 40 | 591 | 558 | 634 | 0 | 55 | 14 | 4 | 9 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
19 | Syracuse Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 13 | 23 | 36 | 0 | 0 | 74 | 39 | 45 | 0 | 121 | 591 | 558 | 634 | 0 | 20 | 13 | 4 | 21 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
20 | Toronto Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 74 | 39 | 45 | 0 | 151 | 591 | 558 | 634 | 0 | 24 | 8 | 0 | 16 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
21 | Wilkes-Barre/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 74 | 39 | 45 | 0 | 43 | 591 | 558 | 634 | 0 | 59 | 21 | 9 | 25 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
Total | 24 | 17 | 7 | 0 | 0 | 0 | 0 | 0 | 158 | 78 | 80 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 30 | 12 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 88 | 38 | 50 | 34 | 0.708 | 158 | 270 | 428 | 1 | 0 | 74 | 39 | 45 | 0 | 1783 | 591 | 558 | 634 | 0 | 1069 | 338 | 67 | 447 | 41 | 6 | 14.63% | 23 | 3 | 86.96% | 2 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 | |
_Since Last GM Reset | 24 | 17 | 7 | 0 | 0 | 0 | 0 | 0 | 158 | 78 | 80 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 70 | 40 | 30 | 12 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 88 | 38 | 50 | 34 | 0.708 | 158 | 270 | 428 | 1 | 0 | 74 | 39 | 45 | 0 | 1783 | 591 | 558 | 634 | 0 | 1069 | 338 | 67 | 447 | 41 | 6 | 14.63% | 23 | 3 | 86.96% | 2 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 | |
_Vs Conference | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 66 | 29 | 37 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 43 | 17 | 26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 12 | 11 | 16 | 0.800 | 66 | 113 | 179 | 1 | 0 | 74 | 39 | 45 | 0 | 748 | 591 | 558 | 634 | 0 | 467 | 156 | 30 | 181 | 12 | 2 | 16.67% | 9 | 1 | 88.89% | 1 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 | |
_Vs Division | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 52 | 15 | 37 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 9 | 24 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 6 | 13 | 10 | 0.714 | 52 | 89 | 141 | 0 | 0 | 74 | 39 | 45 | 0 | 629 | 591 | 558 | 634 | 0 | 285 | 102 | 10 | 134 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 1 | 826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% | 651 | 500 | 514 | 144 | 274 | 141 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
24 | 34 | W2 | 158 | 270 | 428 | 1783 | 1069 | 338 | 67 | 447 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 17 | 7 | 0 | 0 | 0 | 0 | 158 | 78 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 8 | 4 | 0 | 0 | 0 | 0 | 70 | 40 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 9 | 3 | 0 | 0 | 0 | 0 | 88 | 38 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 3 | 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 |
---|---|---|---|---|---|---|
41 | 6 | 14.63% | 23 | 3 | 86.96% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
591 | 558 | 634 | 0 | 74 | 39 | 45 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
826 | 1233 | 66.99% | 517 | 897 | 57.64% | 299 | 444 | 67.34% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
651 | 500 | 514 | 144 | 274 | 141 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
29 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
20,543$ | 66,742$ | 66,742$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
344$ | 20,543$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 134 | 344$ | 46,096$ |
# | 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 |
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# | 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 |
# | 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 |
---|