Hershey Bears | |
GP: 10 | W: 4 | L: 6 | OTL: 0 | P: 8 GF: 18 | GA: 33 | PP%: 0.00% | PK%: 76.92% GM : Ledge | Morale : 50 | Team Overall : N/A Next Games #157 vs Syracuse Crunch |
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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 | Brandon Sutter | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 35 | 2 | 1,125,000$ | ||||
2 | Lukas Sedlak | X | X | X | 100.00 | 40 | 35 | 40 | 65 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 70 | 72 | 11 | 50 | 0 | 0 | 31 | 3 | 900,000$ | ||
3 | Nicolas Aube-Kubel | X | 100.00 | 78 | 62 | 80 | 66 | 76 | 79 | 83 | 64 | 57 | 63 | 60 | 62 | 61 | 69 | 70 | 60 | 50 | 0 | 0 | 28 | 3 | 1,000,000$ | ||||
4 | Janne Kuokkanen | X | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 2 | 1,600,000$ | ||
5 | Mitchell Stephens | X | 100.00 | 65 | 38 | 84 | 63 | 75 | 82 | 86 | 61 | 70 | 62 | 60 | 66 | 63 | 67 | 69 | 66 | 50 | 0 | 0 | 27 | 1 | 775,000$ | ||||
6 | Oskar Steen (R) | X | 100.00 | 70 | 37 | 88 | 62 | 70 | 81 | 84 | 61 | 65 | 58 | 63 | 60 | 62 | 67 | 68 | 47 | 50 | 0 | 0 | 26 | 1 | 925,000$ | ||||
7 | Carl Dahlstrom | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 3 | 750,000$ | ||||
8 | Ryan Merkley | X | 100.00 | 40 | 35 | 40 | 66 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 63 | 65 | 11 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 52 | 39 | 57 | 55 | 50 | 80 | 88 | 48 | 37 | 48 | 48 | 49 | 42 | 51 | 52 | 29 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dustin Wolf (R) | 100.00 | 74 | 99 | 87 | 70 | 75 | 67 | 68 | 68 | 68 | 57 | 78 | 63 | 70 | 59 | 47 | 0 | 0 | 23 | 4 | 775,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 99 | 87 | 70 | 75 | 67 | 68 | 68 | 68 | 57 | 78 | 63 | 70 | 59 | 47 | 0 |
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 |
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Brandon Sutter | Hershey Bears (WAS) | C | 35 | 1989-02-14 | USA | No | 190 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,125,000$ | 991,624$ | 0$ | 0$ | No | 1,125,000$ | - | - | - | - | - | - | - | - | 1,125,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Carl Dahlstrom | Hershey Bears (WAS) | D | 29 | 1995-01-28 | SWE | No | 229 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Dustin Wolf | Hershey Bears (WAS) | G | 23 | 2001-04-16 | USA | Yes | 166 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Janne Kuokkanen | Hershey Bears (WAS) | C/LW/RW | 26 | 1998-05-25 | FIN | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,600,000$ | 1,410,309$ | 0$ | 0$ | No | 1,600,000$ | - | - | - | - | - | - | - | - | 1,600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Lukas Sedlak | Hershey Bears (WAS) | C/LW/RW | 31 | 1993-02-25 | CZE | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 900,000$ | 793,299$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Mitchell Stephens | Hershey Bears (WAS) | C | 27 | 1997-02-05 | CAN | No | 203 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Nicolas Aube-Kubel | Hershey Bears (WAS) | RW | 28 | 1996-05-10 | CAN | No | 207 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,000,000$ | 881,443$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Oskar Steen | Hershey Bears (WAS) | C | 26 | 1998-03-09 | SWE | Yes | 196 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ryan Merkley | Hershey Bears (WAS) | D | 24 | 2000-08-14 | CAN | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
9 | 27.67 | 197 Lbs | 6 ft1 | 2.22 | 975,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 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 | ||||
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Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
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Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
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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 | Charlotte Checkers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 3 | 10 | 4 | 1 | 59 | 77 | 101 | 74 | 1 | 90 | 22 | 4 | 69 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
2 | Chicago Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 10 | 4 | 1 | 14 | 77 | 101 | 74 | 1 | 42 | 14 | 4 | 20 | 0 | 0 | 0% | 2 | 1 | 50.00% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
3 | LeHigh Valley Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 10 | 4 | 1 | 58 | 77 | 101 | 74 | 1 | 75 | 13 | 2 | 57 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
4 | Manitoba Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 10 | 4 | 1 | 47 | 77 | 101 | 74 | 1 | 55 | 18 | 4 | 32 | 0 | 0 | 0% | 2 | 0 | 100.00% | 1 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
5 | Syracuse Crunch | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 10 | 4 | 1 | 38 | 77 | 101 | 74 | 1 | 40 | 7 | 4 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
6 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | 4 | 1 | 17 | 77 | 101 | 74 | 1 | 35 | 15 | 2 | 19 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
7 | Wilkes-Barre/Scranton Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 10 | 4 | 1 | 20 | 77 | 101 | 74 | 1 | 86 | 20 | 8 | 17 | 7 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
Total | 10 | 3 | 6 | 0 | 1 | 0 | 0 | 0 | 18 | 33 | -15 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 7 | 24 | -17 | 8 | 0.400 | 18 | 35 | 53 | 0 | 0 | 3 | 10 | 4 | 1 | 253 | 77 | 101 | 74 | 1 | 423 | 109 | 28 | 235 | 13 | 0 | 0.00% | 13 | 3 | 76.92% | 1 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 | |
_Since Last GM Reset | 10 | 3 | 6 | 0 | 1 | 0 | 0 | 0 | 18 | 33 | -15 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 7 | 24 | -17 | 8 | 0.400 | 18 | 35 | 53 | 0 | 0 | 3 | 10 | 4 | 1 | 253 | 77 | 101 | 74 | 1 | 423 | 109 | 28 | 235 | 13 | 0 | 0.00% | 13 | 3 | 76.92% | 1 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 | |
_Vs Conference | 9 | 3 | 5 | 0 | 1 | 0 | 0 | 0 | 18 | 29 | -11 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 20 | -13 | 8 | 0.444 | 18 | 35 | 53 | 0 | 0 | 3 | 10 | 4 | 1 | 236 | 77 | 101 | 74 | 1 | 388 | 94 | 26 | 216 | 13 | 0 | 0.00% | 12 | 3 | 75.00% | 1 | 71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% | 154 | 104 | 340 | 69 | 106 | 43 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 8 | L5 | 18 | 35 | 53 | 253 | 423 | 109 | 28 | 235 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 3 | 6 | 1 | 0 | 0 | 0 | 18 | 33 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 2 | 1 | 1 | 0 | 0 | 0 | 11 | 9 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 1 | 5 | 0 | 0 | 0 | 0 | 7 | 24 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 6 | 1 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
13 | 0 | 0.00% | 13 | 3 | 76.92% | 1 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
77 | 101 | 74 | 1 | 3 | 10 | 4 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
71 | 189 | 37.57% | 101 | 275 | 36.73% | 57 | 136 | 41.91% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
154 | 104 | 340 | 69 | 106 | 43 |
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 | 7,568 | 3,844 |
Attendance PCT | 94.60% | 96.10% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
32 | 2853 - 95.10% | 95,149$ | 380,597$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
102,034$ | 877,500$ | 775,202$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
4,523$ | 102,034$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,044,776$ | 171 | 4,523$ | 773,433$ |
# | 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 |
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