Syracuse Crunch | |
GP: 24 | W: 5 | L: 16 | OTL: 3 | P: 13 GF: 86 | GA: 195 | PP%: 8.33% | PK%: 75.00% GM : Kyle Newell | Morale : 40 | Team Overall : 64 Next Games #413 vs San Jose Barracuda |
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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 | 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 | Vinnie Hinostroza | X | 100.00 | 59 | 56 | 73 | 65 | 65 | 63 | 63 | 61 | 67 | 61 | 61 | 65 | 56 | 70 | 62 | 0 | 40 | 63 | 0 | 30 | 2 | 775,000$ | ||||
2 | Calen Addison | X | 100.00 | 62 | 40 | 78 | 67 | 65 | 77 | 82 | 58 | 40 | 62 | 57 | 71 | 54 | 59 | 58 | 0 | 40 | 65 | 0 | 24 | 1 | 930,000$ | ||||
3 | Daniil Chayka (R) | X | 100.00 | 55 | 54 | 68 | 58 | 70 | 68 | 66 | 55 | 40 | 56 | 54 | 61 | 54 | 55 | 53 | 0 | 40 | 59 | 0 | 22 | 3 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 59 | 50 | 73 | 63 | 67 | 69 | 70 | 58 | 49 | 60 | 57 | 66 | 55 | 61 | 58 | 0 | 40 | 62 |
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 | Matt Villalta | 100.00 | 74 | 73 | 73 | 68 | 69 | 64 | 68 | 74 | 61 | 67 | 66 | 60 | 55 | 0 | 40 | 69 | 0 | 25 | 2 | 775,000$ | |
2 | Devin Cooley | 100.00 | 58 | 58 | 59 | 76 | 66 | 56 | 67 | 62 | 69 | 60 | 59 | 62 | 57 | 0 | 40 | 63 | 0 | 27 | 2 | 775,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 66 | 66 | 66 | 72 | 68 | 60 | 68 | 68 | 65 | 64 | 63 | 61 | 56 | 0 | 40 | 66 |
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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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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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calen Addison | Syracuse Crunch (TBL) | D | 24 | 2000-04-11 | CAN | No | 171 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 1 | 2024-10-19 | False | False | Pro & Farm | 930,000$ | 647,165$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
Daniil Chayka | Syracuse Crunch (TBL) | D | 22 | 2002-10-22 | RUS | Yes | 180 Lbs | 6 ft3 | No | No | Draft | No | No | 3 | 2024-09-25 | False | False | Pro & Farm | 925,000$ | 643,686$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Devin Cooley | Syracuse Crunch (TBL) | G | 27 | 1997-05-25 | USA | No | 191 Lbs | 6 ft5 | No | No | Assign Manually | No | Yes | 2 | 2024-09-14 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
Matt Villalta | Syracuse Crunch (TBL) | G | 25 | 1999-06-03 | CAN | No | 189 Lbs | 6 ft3 | No | No | Assign Manually | No | Yes | 2 | 2024-09-14 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Vinnie Hinostroza | Syracuse Crunch (TBL) | C | 30 | 1994-04-03 | USA | No | 182 Lbs | 5 ft10 | No | No | Assign Manually | No | Yes | 2 | 2024-09-14 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
5 | 25.60 | 183 Lbs | 6 ft1 | 2.00 | 836,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 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 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 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 | 60 | 1 | 2 | 2 | ||
2 | 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 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 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 | ||||
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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 |
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, , , , |
Goalie |
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#1 : , #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 | Abbotsford Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 44 | 25 | 16 | 1 | 13 | 471 | 462 | 416 | 20 | 91 | 29 | 0 | 10 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
2 | Belleville Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | -12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | -12 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 44 | 25 | 16 | 1 | 29 | 471 | 462 | 416 | 20 | 76 | 30 | 0 | 11 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
3 | Chicago Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 17 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 44 | 25 | 16 | 1 | 66 | 471 | 462 | 416 | 20 | 186 | 46 | 2 | 36 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
4 | Cleveland Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | -12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | -12 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 44 | 25 | 16 | 1 | 20 | 471 | 462 | 416 | 20 | 121 | 32 | 0 | 17 | 2 | 0 | 0.00% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
5 | Colorado Eagles | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 11 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 44 | 25 | 16 | 1 | 162 | 471 | 462 | 416 | 20 | 151 | 35 | 2 | 69 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
6 | Henderson Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 44 | 25 | 16 | 1 | 38 | 471 | 462 | 416 | 20 | 88 | 18 | 0 | 8 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
7 | Hershey Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 17 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 17 | -14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 44 | 25 | 16 | 1 | 45 | 471 | 462 | 416 | 20 | 169 | 52 | 9 | 27 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
8 | Iowa Wild | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 11 | 13 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 8 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 11 | 22 | 33 | 0 | 0 | 44 | 25 | 16 | 1 | 189 | 471 | 462 | 416 | 20 | 161 | 46 | 0 | 67 | 2 | 1 | 50.00% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
9 | Lehigh Valley Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 44 | 25 | 16 | 1 | 95 | 471 | 462 | 416 | 20 | 68 | 30 | 0 | 31 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
10 | Manitoba Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 21 | -17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 44 | 25 | 16 | 1 | 47 | 471 | 462 | 416 | 20 | 163 | 53 | 4 | 26 | 3 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
11 | Milwaukee Admirals | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 15 | -3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 8 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 12 | 23 | 35 | 1 | 0 | 44 | 25 | 16 | 1 | 178 | 471 | 462 | 416 | 20 | 166 | 50 | 2 | 32 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
12 | Springfield Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 44 | 25 | 16 | 1 | 25 | 471 | 462 | 416 | 20 | 107 | 30 | 0 | 12 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
13 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 44 | 25 | 16 | 1 | 24 | 471 | 462 | 416 | 20 | 69 | 16 | 0 | 10 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
14 | Toronto Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 12 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 16 | 32 | 48 | 0 | 0 | 44 | 25 | 16 | 1 | 209 | 471 | 462 | 416 | 20 | 161 | 31 | 2 | 46 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
15 | Utica Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 12 | 24 | 36 | 0 | 0 | 44 | 25 | 16 | 1 | 206 | 471 | 462 | 416 | 20 | 162 | 42 | 2 | 52 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
16 | Wilkes-Barre/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | -9 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 44 | 25 | 16 | 1 | 20 | 471 | 462 | 416 | 20 | 71 | 30 | 2 | 16 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
Total | 24 | 4 | 16 | 0 | 1 | 2 | 0 | 1 | 86 | 195 | -109 | 13 | 3 | 7 | 0 | 1 | 1 | 0 | 1 | 53 | 102 | -49 | 11 | 1 | 9 | 0 | 0 | 1 | 0 | 0 | 33 | 93 | -60 | 13 | 0.271 | 86 | 168 | 254 | 1 | 0 | 44 | 25 | 16 | 1 | 1366 | 471 | 462 | 416 | 20 | 2010 | 570 | 25 | 470 | 24 | 2 | 8.33% | 12 | 3 | 75.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 | |
_Since Last GM Reset | 24 | 4 | 16 | 0 | 1 | 2 | 0 | 1 | 86 | 195 | -109 | 13 | 3 | 7 | 0 | 1 | 1 | 0 | 1 | 53 | 102 | -49 | 11 | 1 | 9 | 0 | 0 | 1 | 0 | 0 | 33 | 93 | -60 | 13 | 0.271 | 86 | 168 | 254 | 1 | 0 | 44 | 25 | 16 | 1 | 1366 | 471 | 462 | 416 | 20 | 2010 | 570 | 25 | 470 | 24 | 2 | 8.33% | 12 | 3 | 75.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 | |
_Vs Conference | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 40 | 87 | -47 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 33 | -10 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 17 | 54 | -37 | 8 | 0.364 | 40 | 79 | 119 | 0 | 0 | 44 | 25 | 16 | 1 | 649 | 471 | 462 | 416 | 20 | 935 | 277 | 15 | 212 | 13 | 1 | 7.69% | 5 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 | |
_Vs Division | 3 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 24 | -8 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 18 | -9 | 6 | 1.000 | 16 | 32 | 48 | 0 | 0 | 44 | 25 | 16 | 1 | 238 | 471 | 462 | 416 | 20 | 237 | 61 | 2 | 57 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% | 413 | 288 | 755 | 164 | 278 | 119 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
24 | 13 | W1 | 86 | 168 | 254 | 1366 | 2010 | 570 | 25 | 470 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 4 | 16 | 1 | 2 | 0 | 1 | 86 | 195 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 3 | 7 | 1 | 1 | 0 | 1 | 53 | 102 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 1 | 9 | 0 | 1 | 0 | 0 | 33 | 93 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 6 | 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 |
---|---|---|---|---|---|---|
24 | 2 | 8.33% | 12 | 3 | 75.00% | 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 |
---|---|---|---|---|---|---|---|
471 | 462 | 416 | 20 | 44 | 25 | 16 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
364 | 868 | 41.94% | 397 | 1145 | 34.67% | 199 | 497 | 40.04% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
413 | 288 | 755 | 164 | 278 | 119 |
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 |
28 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
12,027$ | 41,800$ | 41,800$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
215$ | 12,027$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 135 | 215$ | 29,025$ |
# | 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 |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|