![]() | Bridgeport Sound Tigers |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Chris Hessel | Morale : 50 | Team Overall : 70 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Yakov Trenin | X | X | 100.00 | 80 | 36 | 84 | 78 | 79 | 86 | 92 | 76 | 69 | 74 | 75 | 76 | 66 | 80 | 74 | 0 | 50 | 73 | 0 | 26 | 2 | 1,750,000$ | |||
2 | Shane Bowers (R) | X | X | 100.00 | 73 | 30 | 91 | 81 | 75 | 86 | 88 | 75 | 75 | 74 | 73 | 74 | 67 | 79 | 76 | 0 | 50 | 72 | 0 | 24 | 3 | 1,100,000$ | |||
3 | Matthew Peca | X | X | X | 100.00 | 63 | 30 | 99 | 80 | 66 | 86 | 88 | 73 | 73 | 72 | 67 | 70 | 68 | 81 | 76 | 0 | 50 | 69 | 0 | 30 | 1 | 925,000$ | ||
4 | Martin Frk | X | 100.00 | 72 | 43 | 93 | 72 | 77 | 82 | 84 | 69 | 63 | 70 | 71 | 69 | 73 | 83 | 76 | 0 | 50 | 69 | 0 | 30 | 1 | 950,000$ | ||||
5 | Adam Raska (R) | X | X | 100.00 | 78 | 48 | 75 | 75 | 69 | 79 | 80 | 65 | 64 | 65 | 64 | 71 | 60 | 70 | 68 | 0 | 50 | 66 | 0 | 22 | 2 | 350,000$ | |||
6 | Patrick Khodorenko (R) | X | 100.00 | 74 | 30 | 88 | 70 | 76 | 75 | 76 | 67 | 74 | 64 | 63 | 70 | 60 | 69 | 70 | 0 | 50 | 66 | 0 | 25 | 1 | 585,000$ | ||||
7 | Paul LaDue | X | 100.00 | 71 | 30 | 83 | 76 | 76 | 90 | 87 | 65 | 30 | 63 | 57 | 74 | 45 | 85 | 85 | 0 | 50 | 70 | 0 | 31 | 1 | 875,000$ | ||||
8 | Jaycob Megna | X | 100.00 | 72 | 31 | 89 | 72 | 78 | 83 | 85 | 66 | 30 | 66 | 53 | 75 | 45 | 80 | 79 | 0 | 50 | 69 | 0 | 31 | 1 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Justin Dowling (A) | X | X | X | 100.00 | 64 | 37 | 99 | 75 | 68 | 86 | 88 | 72 | 75 | 70 | 69 | 73 | 67 | 90 | 86 | 0 | 50 | 70 | 0 | 33 | 2 | 950,000$ | ||
2 | Alex Belzile | X | X | X | 100.00 | 74 | 38 | 82 | 73 | 73 | 83 | 88 | 71 | 70 | 69 | 68 | 71 | 68 | 87 | 81 | 0 | 50 | 69 | 0 | 32 | 2 | 850,000$ | ||
3 | Andy Andreoff | X | X | 100.00 | 76 | 65 | 83 | 71 | 79 | 83 | 86 | 69 | 80 | 66 | 65 | 74 | 58 | 88 | 80 | 0 | 50 | 69 | 0 | 32 | 1 | 850,000$ | |||
4 | Matej Pekar (R) | X | X | 100.00 | 77 | 40 | 75 | 69 | 74 | 75 | 76 | 64 | 68 | 63 | 61 | 68 | 58 | 70 | 68 | 0 | 50 | 64 | 0 | 23 | 2 | 475,000$ | |||
5 | Mitchell Chaffee (R) | X | 100.00 | 74 | 30 | 78 | 69 | 76 | 74 | 75 | 68 | 63 | 67 | 58 | 71 | 57 | 62 | 65 | 0 | 50 | 64 | 0 | 25 | 1 | 385,000$ | ||||
6 | Robbie Russo | X | 100.00 | 73 | 32 | 83 | 76 | 73 | 90 | 94 | 72 | 30 | 71 | 65 | 76 | 46 | 80 | 78 | 0 | 50 | 72 | 1 | 30 | 2 | 980,000$ | ||||
7 | Taylor Fedun | X | 100.00 | 72 | 36 | 84 | 74 | 74 | 83 | 82 | 71 | 30 | 69 | 66 | 74 | 51 | 86 | 86 | 0 | 50 | 70 | 0 | 35 | 1 | 850,000$ | ||||
8 | Mitch Eliot (R) | X | 100.00 | 79 | 30 | 77 | 74 | 76 | 79 | 74 | 62 | 30 | 58 | 55 | 71 | 47 | 67 | 67 | 0 | 50 | 67 | 0 | 25 | 1 | 467,500$ | ||||
TEAM AVERAGE | 100.00 | 73 | 37 | 85 | 74 | 74 | 83 | 84 | 69 | 58 | 68 | 64 | 72 | 59 | 79 | 76 | 0 | 50 | 69 |
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 | Louis Domingue | 100.00 | 86 | 85 | 85 | 85 | 87 | 86 | 86 | 86 | 86 | 85 | 87 | 89 | 85 | 0 | 50 | 84 | 0 | 31 | 1 | 1,250,000$ | |
Scratches | |||||||||||||||||||||||
1 | Samuel Ersson (R) | 100.00 | 86 | 78 | 80 | 85 | 86 | 84 | 85 | 86 | 86 | 85 | 82 | 70 | 66 | 0 | 50 | 81 | 0 | 24 | 3 | 600,000$ | |
2 | Evan Cormier (R) | 100.00 | 82 | 73 | 74 | 85 | 82 | 76 | 75 | 76 | 76 | 75 | 83 | 66 | 66 | 0 | 50 | 75 | 0 | 26 | 1 | 600,000$ | |
TEAM AVERAGE | 100.00 | 85 | 79 | 80 | 85 | 85 | 82 | 82 | 83 | 83 | 82 | 84 | 75 | 72 | 0 | 50 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dave Cameron | 77 | 82 | 77 | 75 | 89 | 80 | 50 | CAN | 65 | 2 | 800,000$ |
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 | Force Waivers | Waiver Possible | Contract | Type | Current Salary | 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 | Link |
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Adam Raska | ![]() | LW/RW | 22 | 9/25/2001 8:56:02 AM | Yes | 178 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 350,000$ | 0$ | 0$ | No | 350,000$ | NHL Link | ||||||||
Alex Belzile | ![]() | C/LW/RW | 32 | 8/31/1991 9:06:05 AM | No | 180 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | Link / NHL Link | ||||||||
Andy Andreoff | ![]() | C/LW | 32 | 5/17/1991 8:27:21 AM | No | 203 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Evan Cormier | ![]() | G | 26 | 11/6/1997 3:28:13 AM | Yes | 200 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 600,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Jaycob Megna | ![]() | D | 31 | 12/10/1992 5:44:20 AM | No | 221 Lbs | 6 ft6 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Justin Dowling | ![]() | C/LW/RW | 33 | 10/1/1990 8:53:47 AM | No | 180 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 0$ | 0$ | No | 950,000$ | Link / NHL Link | ||||||||
Louis Domingue | ![]() | G | 31 | 3/6/1992 8:24:27 AM | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Martin Frk | ![]() | RW | 30 | 10/5/1993 5:11:50 AM | No | 205 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Matej Pekar | ![]() | C/LW | 23 | 2/10/2000 8:53:34 AM | Yes | 185 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 475,000$ | 0$ | 0$ | No | 475,000$ | NHL Link | ||||||||
Matthew Peca | ![]() | C/LW/RW | 30 | 4/27/1993 11:18:54 AM | No | 182 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Mitch Eliot | ![]() | D | 25 | 2/6/1998 6:20:00 AM | Yes | 190 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 467,500$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Mitchell Chaffee | ![]() | RW | 25 | 1/26/1998 10:27:22 AM | Yes | 197 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 385,000$ | 0$ | 0$ | No | NHL Link | |||||||||
Patrick Khodorenko | ![]() | C | 25 | 10/13/1998 2:29:46 PM | Yes | 200 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 585,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Paul LaDue | ![]() | D | 31 | 9/6/1992 8:52:32 AM | No | 200 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 875,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Robbie Russo | ![]() | D | 30 | 2/15/1993 9:01:02 AM | No | 191 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 980,000$ | 0$ | 0$ | No | 925,000$ | Link / NHL Link | ||||||||
Samuel Ersson | ![]() | G | 24 | 10/20/1999 9:37:21 AM | Yes | 176 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 600,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | NHL Link | |||||||
Shane Bowers | ![]() | C/RW | 24 | 7/30/1999 2:34:41 PM | Yes | 186 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | 1,100,000$ | 1,100,000$ | Link / NHL Link | |||||||
Taylor Fedun | ![]() | D | 35 | 6/4/1988 4:56:53 AM | No | 201 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Yakov Trenin | ![]() | C/LW | 26 | 1/13/1997 4:21:54 AM | No | 201 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 1,750,000$ | 0$ | 0$ | No | 2,100,000$ | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
19 | 28.16 | 194 Lbs | 6 ft1 | 1.53 | 828,553$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 32 | 0 | 1 | 4 | |||
2 | Matthew Peca | Shane Bowers | Martin Frk | 31 | 0 | 2 | 3 |
3 | 24 | 0 | 2 | 3 | |||
4 | Yakov Trenin | Patrick Khodorenko | Adam Raska | 13 | 0 | 4 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jaycob Megna | 36 | 0 | 4 | 1 | ||
2 | 34 | 1 | 4 | 0 | |||
3 | Paul LaDue | 30 | 0 | 4 | 1 | ||
4 | 0 | 0 | 3 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Matthew Peca | Shane Bowers | Martin Frk | 50 | 0 | 0 | 5 |
2 | 50 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 50 | 0 | 0 | 5 | |||
2 | Paul LaDue | 50 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 4 | 0 | ||
2 | Shane Bowers | 40 | 0 | 5 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Paul LaDue | 50 | 1 | 4 | 0 | |
2 | Jaycob Megna | 50 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 50 | 0 | 5 | 0 | Paul LaDue | 50 | 0 | 5 | 0 | ||
2 | 50 | 0 | 5 | 0 | Jaycob Megna | 50 | 0 | 5 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Matthew Peca | 50 | 0 | 2 | 3 | |
2 | 50 | 0 | 2 | 3 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 50 | 0 | 4 | 1 | ||
2 | Jaycob Megna | 50 | 0 | 4 | 1 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Shane Bowers |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Shane Bowers | Jaycob Megna |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Jaycob Megna | , |
Penalty Shots |
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, Shane Bowers, Matthew Peca, , Martin Frk |
Goalie |
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#1 : , #2 : Louis Domingue |
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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,574,250$ | 1,571,083$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Shane Bowers | 69 | 31 | 33 | 64 | -2 | 10 | 99 | 194 | 236 | 13.14% | 13 | 1280 | 18.56 | 6 | 8 | 14 | 35 | 0 | 1 | 1 | 2 | 3 | 4 | 49.05 | 0 | 1.00 | 0 | 6 |
2 | Justin Dowling | 82 | 22 | 37 | 59 | 6 | 2 | 47 | 154 | 236 | 9.32% | 18 | 1673 | 20.41 | 4 | 9 | 13 | 36 | 0 | 1 | 1 | 7 | 1 | 2 | 50.41 | 0 | 0.71 | 3 | 5 |
3 | Dominic Turgeon | 82 | 27 | 29 | 56 | -7 | 24 | 113 | 246 | 246 | 10.98% | 22 | 1584 | 19.32 | 6 | 8 | 14 | 48 | 0 | 1 | 1 | 5 | 5 | 4 | 55.12 | 0 | 0.71 | 4 | 9 |
4 | Robbie Russo | 75 | 11 | 42 | 53 | 2 | 26 | 128 | 97 | 109 | 10.09% | 107 | 1580 | 21.07 | 5 | 8 | 13 | 55 | 0 | 0 | 0 | 0 | 2 | 1 | 0.00% | 1 | 0.67 | 0 | 0 |
5 | Alex Belzile | 82 | 16 | 32 | 48 | 13 | 22 | 135 | 83 | 201 | 7.96% | 7 | 1384 | 16.88 | 4 | 8 | 12 | 37 | 0 | 0 | 0 | 0 | 3 | 1 | 51.46 | 0 | 0.69 | 0 | 3 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Louis Domingue | 52 | 27 | 19 | 2 | 0.912 | 2.60 | 2952 | 2 | 1 | 128 | 1459 | 0 | 3 | 5 | 0.750 | 24 |
2 | Alexei Melnichuk | 37 | 19 | 13 | 2 | 0.914 | 2.67 | 2022 | 2 | 0 | 90 | 1045 | 0 | 0 | 3 | 0.800 | 10 |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 82 | 33 | 32 | 0 | 7 | 1 | 6 | 3 | 248 | 229 | 19 | 41 | 16 | 17 | 0 | 5 | 0 | 2 | 1 | 127 | 118 | 9 | 41 | 17 | 15 | 0 | 2 | 1 | 4 | 2 | 121 | 111 | 10 | 96 | 248 | 446 | 694 | 8 | 1 | 97 | 84 | 54 | 19 | 2653 | 855 | 890 | 866 | 76 | 2512 | 742 | 441 | 1919 | 208 | 44 | 21.15% | 196 | 26 | 86.73% | 2 | 1518 | 2928 | 51.84% | 1447 | 2811 | 51.48% | 646 | 1271 | 50.83% | 1962 | 1359 | 1956 | 602 | 1066 | 530 |
Total Regular Season | 82 | 33 | 32 | 0 | 7 | 1 | 6 | 3 | 248 | 229 | 19 | 41 | 16 | 17 | 0 | 5 | 0 | 2 | 1 | 127 | 118 | 9 | 41 | 17 | 15 | 0 | 2 | 1 | 4 | 2 | 121 | 111 | 10 | 96 | 248 | 446 | 694 | 8 | 1 | 97 | 84 | 54 | 19 | 2653 | 855 | 890 | 866 | 76 | 2512 | 742 | 441 | 1919 | 208 | 44 | 21.15% | 196 | 26 | 86.73% | 2 | 1518 | 2928 | 51.84% | 1447 | 2811 | 51.48% | 646 | 1271 | 50.83% | 1962 | 1359 | 1956 | 602 | 1066 | 530 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 16 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 54 | 44 | 10 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 21 | 23 | -2 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 33 | 21 | 12 | 20 | 54 | 96 | 150 | 0 | 2 | 18 | 17 | 18 | 1 | 526 | 176 | 177 | 172 | 1 | 466 | 142 | 73 | 359 | 52 | 13 | 25.00% | 33 | 4 | 87.88% | 0 | 306 | 585 | 52.31% | 297 | 538 | 55.20% | 127 | 260 | 48.85% | 392 | 274 | 362 | 115 | 206 | 105 |
Total Playoff | 16 | 10 | 6 | 0 | 0 | 0 | 0 | 0 | 54 | 44 | 10 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 21 | 23 | -2 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 33 | 21 | 12 | 20 | 54 | 96 | 150 | 0 | 2 | 18 | 17 | 18 | 1 | 526 | 176 | 177 | 172 | 1 | 466 | 142 | 73 | 359 | 52 | 13 | 25.00% | 33 | 4 | 87.88% | 0 | 306 | 585 | 52.31% | 297 | 538 | 55.20% | 127 | 260 | 48.85% | 392 | 274 | 362 | 115 | 206 | 105 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dominic Turgeon | 16 | 6 | 16 | 22 | 3 | 2 | 31 | 44 | 53 | 11.32% | 0 | 329 | 20.61 | 1 | 6 | 7 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 55.78 | 0 | 1.33 | 0 | 0 |
2 | Justin Dowling | 16 | 7 | 8 | 15 | 8 | 0 | 8 | 26 | 64 | 10.94% | 2 | 318 | 19.88 | 0 | 2 | 2 | 9 | 0 | 0 | 0 | 1 | 3 | 0 | 25.00 | 0 | 0.94 | 0 | 0 |
3 | Taylor Fedun | 16 | 6 | 8 | 14 | -6 | 6 | 23 | 15 | 30 | 20.00% | 23 | 336 | 21.01 | 3 | 2 | 5 | 14 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.83 | 0 | 0 |
4 | Shane Bowers | 16 | 2 | 9 | 11 | -2 | 6 | 23 | 56 | 54 | 3.70% | 6 | 313 | 19.58 | 1 | 2 | 3 | 10 | 0 | 0 | 0 | 1 | 0 | 0 | 52.06 | 0 | 0.70 | 0 | 0 |
5 | Cameron Gaunce | 16 | 1 | 9 | 10 | 1 | 8 | 28 | 17 | 24 | 4.17% | 14 | 346 | 21.65 | 1 | 1 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.58 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Louis Domingue | 12 | 7 | 4 | 0 | 0.913 | 2.52 | 619 | 0 | 2 | 26 | 300 | 0 | 1 | 0 | 0.00% | 0 |
2 | Alexei Melnichuk | 7 | 3 | 2 | 0 | 0.892 | 3.20 | 338 | 0 | 0 | 18 | 166 | 0 | 0 | 0 | 0.00% | 0 |