Hershey Bears | |
GP: 72 | W: 18 | L: 48 | OTL: 6 | P: 42 GF: 130 | GA: 300 | PP%: 8.87% | PK%: 83.76% GM : Ledge | Morale : 50 | Team Overall : N/A |
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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 | Brandon Sutter | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 34 | 3 | 1,125,000$ | ||||
2 | Nicolas Aube-Kubel (R) | X | 100.00 | 82 | 41 | 76 | 67 | 76 | 74 | 84 | 65 | 55 | 63 | 62 | 56 | 65 | 68 | 70 | 61 | 50 | 0 | 0 | 27 | 4 | 1,000,000$ | ||||
3 | Aidan Dudas (R) | X | 100.00 | 61 | 36 | 86 | 58 | 61 | 80 | 85 | 57 | 59 | 58 | 57 | 53 | 57 | 63 | 65 | 59 | 50 | 0 | 0 | 23 | 1 | 835,000$ | ||||
4 | Janne Kuokkanen | X | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 25 | 3 | 1,600,000$ | ||
5 | Mitchell Stephens | X | 100.00 | 61 | 38 | 81 | 61 | 72 | 86 | 77 | 59 | 79 | 64 | 58 | 65 | 59 | 66 | 68 | 73 | 49 | 0 | 0 | 26 | 2 | 775,000$ | ||||
6 | Antoine Morand (R) | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 24 | 1 | 750,000$ | ||||
7 | Oskar Steen (R) | X | 100.00 | 66 | 37 | 85 | 65 | 69 | 84 | 86 | 63 | 65 | 61 | 60 | 64 | 62 | 65 | 67 | 47 | 50 | 0 | 0 | 25 | 2 | 925,000$ | ||||
8 | Madison Bowey | X | 100.00 | 79 | 40 | 69 | 62 | 81 | 82 | 76 | 58 | 30 | 56 | 54 | 63 | 47 | 68 | 70 | 58 | 42 | 0 | 0 | 28 | 1 | 1,000,000$ | ||||
9 | Carl Dahlstrom | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 47 | 0 | 0 | 28 | 4 | 750,000$ | ||||
10 | Ryan Merkley | X | 100.00 | 61 | 39 | 74 | 66 | 72 | 83 | 84 | 64 | 30 | 63 | 54 | 56 | 49 | 63 | 65 | 81 | 50 | 0 | 0 | 23 | 2 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 37 | 63 | 54 | 57 | 81 | 85 | 53 | 40 | 53 | 51 | 52 | 46 | 49 | 51 | 42 | 48 | 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 | Mike Condon | 100.00 | 45 | 90 | 80 | 50 | 45 | 45 | 45 | 45 | 45 | 45 | 50 | 25 | 25 | 11 | 47 | 0 | 0 | 33 | 1 | 750,000$ | |
2 | Dustin Wolf (R) | 100.00 | 64 | 85 | 71 | 70 | 65 | 66 | 68 | 68 | 68 | 55 | 77 | 62 | 67 | 60 | 47 | 0 | 0 | 22 | 1 | 825,000$ | |
Scratches | |||||||||||||||||||||||
1 | Michal Neuvirth | 100.00 | 45 | 90 | 80 | 50 | 45 | 45 | 45 | 45 | 45 | 45 | 50 | 25 | 25 | 11 | 50 | 0 | 0 | 35 | 1 | 750,000$ | |
TEAM AVERAGE | 100.00 | 51 | 88 | 77 | 57 | 52 | 52 | 53 | 53 | 53 | 48 | 59 | 37 | 39 | 27 | 48 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Washington | 30 | 30 | 30 | 30 | 30 | 30 | 11 | CAN | 43 | 1 | 40,000$ |
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 |
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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 | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | 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 | 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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Aidan Dudas | Hershey Bears (WAS) | C | 23 | 6/15/2000 | Yes | 162 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | Pro & Farm | 835,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Antoine Morand | Hershey Bears (WAS) | C | 24 | 2/18/1999 | Yes | 184 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Brandon Sutter | Hershey Bears (WAS) | C | 34 | 2/14/1989 | No | 190 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 1,125,000$ | 0$ | 0$ | No | 1,125,000$ | 1,125,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |||
Carl Dahlstrom | Hershey Bears (WAS) | D | 28 | 1/28/1995 | No | 229 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |||
Dustin Wolf | Hershey Bears (WAS) | G | 22 | 4/16/2001 | Yes | 166 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Janne Kuokkanen | Hershey Bears (WAS) | C/LW/RW | 25 | 5/25/1998 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 1,600,000$ | 0$ | 0$ | No | 1,600,000$ | 1,600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |||
Madison Bowey | Hershey Bears (WAS) | D | 28 | 4/22/1995 | No | 202 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Michal Neuvirth | Hershey Bears (WAS) | G | 35 | 7/27/1988 | No | 209 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Mike Condon | Hershey Bears (WAS) | G | 33 | 4/27/1990 | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |||
Mitchell Stephens | Hershey Bears (WAS) | C | 26 | 2/5/1997 | No | 190 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |||
Nicolas Aube-Kubel | Hershey Bears (WAS) | RW | 27 | 5/10/1996 | Yes | 207 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |||
Oskar Steen | Hershey Bears (WAS) | C | 25 | 3/9/1998 | Yes | 193 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |||
Ryan Merkley | Hershey Bears (WAS) | D | 23 | 8/14/2000 | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
13 | 27.15 | 193 Lbs | 6 ft0 | 2.00 | 923,846$ |
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 | ||||||
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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 | Belleville Senators | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 38 | 39 | 47 | 10 | 75 | 518 | 565 | 573 | 67 | 69 | 21 | 10 | 63 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
2 | Bridgeport Islanders | 6 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 25 | 25 | 0 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 13 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 12 | 0 | 8 | 0.667 | 25 | 47 | 72 | 0 | 0 | 38 | 39 | 47 | 10 | 224 | 518 | 565 | 573 | 67 | 266 | 82 | 24 | 160 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
3 | Charlotte Checkers | 8 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 4 | 38 | -34 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 16 | -13 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 22 | -21 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 38 | 39 | 47 | 10 | 107 | 518 | 565 | 573 | 67 | 338 | 86 | 33 | 117 | 14 | 0 | 0.00% | 13 | 5 | 61.54% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
4 | Cleveland Monsters | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 4 | 14 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.375 | 4 | 8 | 12 | 0 | 0 | 38 | 39 | 47 | 10 | 67 | 518 | 565 | 573 | 67 | 123 | 43 | 8 | 39 | 14 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
5 | Hartford Wolf Pack | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.500 | 12 | 23 | 35 | 0 | 0 | 38 | 39 | 47 | 10 | 171 | 518 | 565 | 573 | 67 | 161 | 53 | 15 | 126 | 9 | 2 | 22.22% | 5 | 1 | 80.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
6 | Iowa Wild | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 20 | -16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 38 | 39 | 47 | 10 | 61 | 518 | 565 | 573 | 67 | 201 | 57 | 10 | 44 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
7 | Laval Rocket | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 38 | 39 | 47 | 10 | 47 | 518 | 565 | 573 | 67 | 44 | 21 | 8 | 30 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
8 | LeHigh Valley Phantoms | 12 | 6 | 3 | 0 | 1 | 0 | 0 | 2 | 37 | 33 | 4 | 6 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 20 | 16 | 4 | 6 | 2 | 2 | 0 | 1 | 0 | 0 | 1 | 17 | 17 | 0 | 16 | 0.667 | 37 | 73 | 110 | 0 | 0 | 38 | 39 | 47 | 10 | 421 | 518 | 565 | 573 | 67 | 362 | 129 | 44 | 252 | 16 | 3 | 18.75% | 17 | 1 | 94.12% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
9 | Providence Bruins | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 7 | 28 | -21 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 16 | -13 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 38 | 39 | 47 | 10 | 70 | 518 | 565 | 573 | 67 | 176 | 62 | 23 | 69 | 14 | 3 | 21.43% | 9 | 1 | 88.89% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
10 | Rochester Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 38 | 39 | 47 | 10 | 44 | 518 | 565 | 573 | 67 | 98 | 29 | 8 | 44 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
11 | Springfield Thunderbirds | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 11 | 15 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 9 | -2 | 3 | 0.375 | 11 | 22 | 33 | 0 | 0 | 38 | 39 | 47 | 10 | 189 | 518 | 565 | 573 | 67 | 182 | 51 | 18 | 141 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
12 | Syracuse Crunch | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 15 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 38 | 39 | 47 | 10 | 22 | 518 | 565 | 573 | 67 | 128 | 32 | 8 | 16 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
13 | Toronto Marlies | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 8 | 8 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 38 | 39 | 47 | 10 | 74 | 518 | 565 | 573 | 67 | 93 | 26 | 6 | 55 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
14 | Utica Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 38 | 39 | 47 | 10 | 26 | 518 | 565 | 573 | 67 | 78 | 21 | 6 | 14 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
15 | Wilkes-Barre/Scranton Penguins | 12 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 2 | 63 | -61 | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 30 | -29 | 6 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 33 | -32 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 38 | 39 | 47 | 10 | 99 | 518 | 565 | 573 | 67 | 569 | 154 | 57 | 145 | 23 | 0 | 0.00% | 21 | 2 | 90.48% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
Total | 72 | 12 | 48 | 0 | 4 | 1 | 2 | 5 | 130 | 300 | -170 | 36 | 9 | 24 | 0 | 1 | 1 | 0 | 1 | 68 | 147 | -79 | 36 | 3 | 24 | 0 | 3 | 0 | 2 | 4 | 62 | 153 | -91 | 42 | 0.292 | 130 | 253 | 383 | 0 | 0 | 38 | 39 | 47 | 10 | 1697 | 518 | 565 | 573 | 67 | 2888 | 867 | 278 | 1315 | 124 | 11 | 8.87% | 117 | 19 | 83.76% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 | |
_Since Last GM Reset | 72 | 12 | 48 | 0 | 4 | 1 | 2 | 5 | 130 | 300 | -170 | 36 | 9 | 24 | 0 | 1 | 1 | 0 | 1 | 68 | 147 | -79 | 36 | 3 | 24 | 0 | 3 | 0 | 2 | 4 | 62 | 153 | -91 | 42 | 0.292 | 130 | 253 | 383 | 0 | 0 | 38 | 39 | 47 | 10 | 1697 | 518 | 565 | 573 | 67 | 2888 | 867 | 278 | 1315 | 124 | 11 | 8.87% | 117 | 19 | 83.76% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 | |
_Vs Conference | 60 | 11 | 40 | 0 | 3 | 1 | 2 | 3 | 111 | 251 | -140 | 30 | 8 | 19 | 0 | 1 | 1 | 0 | 1 | 61 | 119 | -58 | 30 | 3 | 21 | 0 | 2 | 0 | 2 | 2 | 50 | 132 | -82 | 36 | 0.300 | 111 | 215 | 326 | 0 | 0 | 38 | 39 | 47 | 10 | 1380 | 518 | 565 | 573 | 67 | 2382 | 716 | 242 | 1091 | 100 | 10 | 10.00% | 100 | 17 | 83.00% | 0 | 553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% | 1044 | 716 | 2581 | 494 | 744 | 292 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
72 | 42 | L4 | 130 | 253 | 383 | 1697 | 2888 | 867 | 278 | 1315 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 12 | 48 | 4 | 1 | 2 | 5 | 130 | 300 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 9 | 24 | 1 | 1 | 0 | 1 | 68 | 147 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 3 | 24 | 3 | 0 | 2 | 4 | 62 | 153 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 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 |
---|---|---|---|---|---|---|
124 | 11 | 8.87% | 117 | 19 | 83.76% | 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 |
---|---|---|---|---|---|---|---|
518 | 565 | 573 | 67 | 38 | 39 | 47 | 10 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
553 | 1356 | 40.78% | 725 | 1971 | 36.78% | 354 | 1022 | 34.64% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1044 | 716 | 2581 | 494 | 744 | 292 |
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 | 68,479 | 34,616 |
Attendance PCT | 95.11% | 96.16% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
0 | 2864 - 95.46% | 95,580$ | 3,440,885$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,210,443$ | 1,201,000$ | 1,106,202$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
6,128$ | 1,210,443$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 6,128$ | 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 |
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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 |
---|