![]() | Baraccuda |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Mathieu Dufour Gougeon | Morale : 4 | Team Overall : 65 |
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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 | Alex Formenton | X | 100.00 | 69 | 38 | 79 | 76 | 82 | 85 | 87 | 69 | 58 | 64 | 71 | 83 | 72 | 63 | 64 | 72 | 70 | 70 | 0 | 23 | 1 | 700,000$ | ||||
2 | Brandon Sutter | X | X | 100.00 | 56 | 37 | 90 | 69 | 81 | 83 | 88 | 66 | 89 | 67 | 69 | 83 | 65 | 80 | 77 | 52 | 70 | 70 | 0 | 34 | 1 | 700,000$ | |||
3 | Carter Rowney | X | X | 100.00 | 78 | 36 | 92 | 61 | 83 | 80 | 74 | 62 | 77 | 65 | 63 | 81 | 62 | 74 | 73 | 26 | 76 | 67 | 0 | 34 | 1 | 700,000$ | |||
4 | Juho Lammikko | X | X | 100.00 | 68 | 36 | 94 | 63 | 79 | 77 | 89 | 64 | 80 | 61 | 63 | 75 | 62 | 66 | 67 | 63 | 78 | 66 | 0 | 27 | 1 | 700,000$ | |||
5 | Scott Reedy | X | 100.00 | 68 | 38 | 90 | 67 | 81 | 78 | 84 | 63 | 70 | 62 | 67 | 64 | 65 | 63 | 64 | 61 | 70 | 65 | 0 | 24 | 1 | 842,500$ | ||||
6 | Sheldon Dries | X | X | X | 100.00 | 64 | 37 | 89 | 67 | 65 | 86 | 82 | 65 | 72 | 62 | 66 | 61 | 66 | 68 | 69 | 36 | 64 | 65 | 0 | 29 | 2 | 762,500$ | ||
7 | Mark Kastelic | X | 100.00 | 81 | 36 | 65 | 58 | 85 | 79 | 86 | 53 | 75 | 60 | 59 | 61 | 56 | 63 | 64 | 58 | 43 | 62 | 0 | 24 | 1 | 821,667$ | ||||
8 | Paul Cotter | X | 100.00 | 76 | 39 | 73 | 60 | 79 | 84 | 87 | 60 | 65 | 58 | 62 | 57 | 61 | 64 | 65 | 59 | 69 | 62 | 0 | 23 | 4 | 760,000$ | ||||
9 | Nate Schnarr | X | 100.00 | 70 | 36 | 84 | 59 | 79 | 82 | 87 | 58 | 67 | 60 | 59 | 57 | 61 | 63 | 65 | 67 | 45 | 61 | 0 | 24 | 1 | 750,000$ | ||||
10 | Cole Reinhardt | X | 100.00 | 72 | 38 | 73 | 56 | 74 | 78 | 85 | 57 | 60 | 58 | 59 | 56 | 58 | 62 | 64 | 52 | 43 | 60 | 0 | 23 | 2 | 813,333$ | ||||
11 | Dylan Samberg | X | 100.00 | 83 | 71 | 79 | 62 | 81 | 80 | 76 | 59 | 30 | 66 | 56 | 62 | 49 | 63 | 65 | 74 | 82 | 65 | 0 | 24 | 1 | 925,000$ | ||||
12 | Nick Cicek | X | 100.00 | 75 | 43 | 68 | 58 | 84 | 68 | 81 | 57 | 30 | 62 | 54 | 59 | 47 | 62 | 64 | 51 | 43 | 62 | 0 | 23 | 2 | 835,000$ | ||||
13 | Drew Helleson | X | 100.00 | 72 | 38 | 93 | 52 | 81 | 62 | 61 | 51 | 30 | 53 | 50 | 55 | 45 | 61 | 63 | 73 | 69 | 58 | 0 | 22 | 1 | 700,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 40 | 82 | 62 | 80 | 79 | 82 | 60 | 62 | 61 | 61 | 66 | 59 | 66 | 66 | 57 | 63 | 64 |
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 | Joey Daccord | 100.00 | 74 | 82 | 79 | 80 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 75 | 56 | 41 | 72 | 0 | 26 | 1 | 750,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 82 | 79 | 80 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 75 | 56 | 41 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeremy Colliton | 80 | 77 | 78 | 84 | 55 | 51 | 89 | CAN | 37 | 1 | 100,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | ![]() | LW | 23 | 1999-09-13 | No | 195 Lbs | 6 ft3 | No | No | No | No | 1 | Farm Only | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Brandon Sutter | ![]() | C/RW | 34 | 1989-02-14 | No | 190 Lbs | 6 ft3 | No | No | No | No | 1 | Farm Only | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Carter Rowney | ![]() | C/RW | 34 | 1989-05-10 | No | 208 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Cole Reinhardt | ![]() | LW | 23 | 2000-02-01 | No | 200 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 813,333$ | 0$ | 0$ | No | 813,333$ | Link | ||||||||
Drew Helleson | ![]() | D | 22 | 2001-03-26 | No | 190 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Dylan Samberg | ![]() | D | 24 | 1999-01-24 | No | 190 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link | |||||||||
Joey Daccord | ![]() | G | 26 | 1996-08-19 | No | 197 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Juho Lammikko | ![]() | C/LW | 27 | 1996-01-29 | No | 191 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Mark Kastelic | ![]() | C | 24 | 1999-03-11 | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 821,667$ | 0$ | 0$ | No | Link | |||||||||
Nate Schnarr | ![]() | C | 24 | 1999-02-25 | No | 180 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Nick Cicek | ![]() | D | 23 | 2000-05-29 | No | 201 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 835,000$ | 0$ | 0$ | No | 835,000$ | Link | ||||||||
Paul Cotter | ![]() | C | 23 | 1999-11-16 | No | 206 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 760,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | Link | ||||||
Scott Reedy | ![]() | C | 24 | 1999-04-04 | No | 205 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 842,500$ | 0$ | 0$ | No | Link | |||||||||
Sheldon Dries | ![]() | C/LW/RW | 29 | 1994-04-23 | No | 180 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
14 | 25.71 | 196 Lbs | 6 ft2 | 1.43 | 768,571$ |
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 | ||||||
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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 |
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Extra Defensemen | ||
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Normal | PowerPlay | Penalty Kill |
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Penalty Shots |
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, , , , |
Goalie |
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#1 : Joey Daccord, #2 : |
Custom OT Lines Forwards |
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, , , , , , , , , , |
Custom OT Lines Defensemen |
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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 |
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 | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 999,750$ | 791,250$ | 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$ | 3 | 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 |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joey Daccord | 82 | 36 | 38 | 7 | 0.919 | 3.75 | 4754 | 14 | 1 | 297 | 3678 | 0 | 0 | 0 | 0.857 | 14 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1 | 82 | 29 | 39 | 0 | 4 | 6 | 3 | 1 | 271 | 322 | -51 | 41 | 15 | 18 | 0 | 4 | 0 | 3 | 1 | 137 | 150 | -13 | 41 | 14 | 21 | 0 | 0 | 6 | 0 | 0 | 134 | 172 | -38 | 79 | 271 | 525 | 796 | 0 | 1 | 117 | 78 | 69 | 8 | 2788 | 869 | 893 | 995 | 44 | 3909 | 1154 | 426 | 1690 | 156 | 15 | 9.62% | 178 | 32 | 82.02% | 2 | 815 | 2022 | 40.31% | 1370 | 3495 | 39.20% | 524 | 1309 | 40.03% | 1514 | 1061 | 2523 | 552 | 918 | 411 |
Total Regular Season | 82 | 29 | 39 | 0 | 4 | 6 | 3 | 1 | 271 | 322 | -51 | 41 | 15 | 18 | 0 | 4 | 0 | 3 | 1 | 137 | 150 | -13 | 41 | 14 | 21 | 0 | 0 | 6 | 0 | 0 | 134 | 172 | -38 | 79 | 271 | 525 | 796 | 0 | 1 | 117 | 78 | 69 | 8 | 2788 | 869 | 893 | 995 | 44 | 3909 | 1154 | 426 | 1690 | 156 | 15 | 9.62% | 178 | 32 | 82.02% | 2 | 815 | 2022 | 40.31% | 1370 | 3495 | 39.20% | 524 | 1309 | 40.03% | 1514 | 1061 | 2523 | 552 | 918 | 411 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 |
# | 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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