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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Juraj Slafkovsky (R) | X | 100.00 | 77 | 48 | 72 | 75 | 91 | 61 | 47 | 56 | 30 | 53 | 58 | 57 | 67 | 79 | 68 | 0 | 90 | 60 | 0 | ||||
2 | Tyler Bozak | X | 100.00 | 50 | 45 | 95 | 77 | 62 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 97 | 84 | 0 | 90 | 54 | 0 | ||||
3 | Calvin Thurkauf (R) | X | 100.00 | 50 | 45 | 95 | 75 | 72 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 73 | 0 | 90 | 53 | 0 | ||||
4 | Christoph Bertschy | X | 100.00 | 50 | 45 | 95 | 78 | 55 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 89 | 76 | 0 | 90 | 53 | 0 | ||||
5 | Taylor Leier | X | 100.00 | 50 | 45 | 95 | 78 | 54 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 89 | 76 | 0 | 90 | 53 | 0 | ||||
6 | Jean-Sebastien Dea | X | 100.00 | 50 | 45 | 95 | 79 | 51 | 50 | 40 | 45 | 30 | 40 | 50 | 60 | 50 | 89 | 76 | 0 | 90 | 53 | 0 | ||||
7 | Zack Mitchell | X | 100.00 | 50 | 45 | 95 | 76 | 66 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 77 | 0 | 90 | 53 | 0 | ||||
8 | Nathan Gerbe | X | 100.00 | 50 | 45 | 95 | 79 | 40 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 96 | 83 | 0 | 90 | 52 | 0 | ||||
9 | Logan Stanley | X | 100.00 | 97 | 48 | 66 | 73 | 96 | 57 | 40 | 52 | 30 | 48 | 56 | 71 | 66 | 84 | 72 | 0 | 90 | 66 | 0 | ||||
10 | Brad Hunt | X | 100.00 | 53 | 45 | 88 | 83 | 43 | 50 | 57 | 55 | 30 | 50 | 60 | 59 | 67 | 94 | 82 | 0 | 90 | 60 | 0 | ||||
11 | Mark Borowiecki | X | 100.00 | 51 | 51 | 79 | 75 | 67 | 50 | 40 | 45 | 30 | 40 | 50 | 68 | 50 | 93 | 80 | 0 | 90 | 59 | 0 | ||||
12 | Julian Melchiori | X | 100.00 | 50 | 45 | 95 | 74 | 78 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 92 | 79 | 0 | 90 | 58 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 46 | 89 | 77 | 65 | 52 | 42 | 47 | 30 | 43 | 52 | 58 | 54 | 90 | 77 | 0 | 90 | 56 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alex Lyon | 100.00 | 77 | 50 | 83 | 87 | 78 | 76 | 77 | 76 | 78 | 74 | 70 | 90 | 80 | 0 | 90 | 67 | 0 | |
2 | Marcus Hogberg | 100.00 | 70 | 40 | 40 | 94 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 86 | 75 | 0 | 90 | 59 | 0 | |
Scratches | ||||||||||||||||||||
1 | Gilles Senn (R) | 100.00 | 70 | 40 | 40 | 86 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 84 | 71 | 0 | 90 | 58 | 0 | |
2 | Maxime Lagace | 100.00 | 70 | 40 | 40 | 85 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 89 | 76 | 0 | 90 | 58 | 0 | |
TEAM AVERAGE | 100.00 | 72 | 43 | 51 | 88 | 68 | 68 | 68 | 68 | 68 | 67 | 66 | 87 | 76 | 0 | 90 | 61 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Travis Green | 65 | 65 | 65 | 65 | 87 | 77 | 66 | CAN | 53 | 2 | 2,500,000$ |
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 |
---|
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 |
---|
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 | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | Barracudas (SJR) | G | 30 | 1992-12-09 | No | 201 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | |
Brad Hunt | Barracudas (SJR) | D | 35 | 1988-08-24 | No | 177 Lbs | 5 ft9 | No | No | No | 4 | UFA | Pro & Farm | 775,000$ | 0$ | 0$ | No | |
Calvin Thurkauf | Barracudas (SJR) | C | 26 | 1997-06-27 | Yes | 204 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Christoph Bertschy | Barracudas (SJR) | C | 28 | 1994-10-12 | No | 185 Lbs | 5 ft10 | No | No | No | 2 | UFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Gilles Senn | Barracudas (SJR) | G | 27 | 1996-03-01 | Yes | 191 Lbs | 6 ft5 | No | No | No | 3 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Jean-Sebastien Dea | Barracudas (SJR) | C | 29 | 1994-02-08 | No | 174 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Julian Melchiori | Barracudas (SJR) | D | 31 | 1991-10-12 | No | 214 Lbs | 6 ft5 | No | No | No | 4 | UFA | Pro & Farm | 775,000$ | 0$ | 0$ | No | |
Juraj Slafkovsky | Barracudas (SJR) | LW | 19 | 2004-03-30 | Yes | 238 Lbs | 6 ft3 | No | No | No | 4 | ELC | Pro & Farm | 1,200,000$ | 0$ | 0$ | No | |
Logan Stanley | Barracudas (SJR) | D | 25 | 1998-05-26 | No | 242 Lbs | 6 ft7 | No | No | No | 2 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | |
Marcus Hogberg | Barracudas (SJR) | G | 28 | 1994-11-25 | No | 222 Lbs | 6 ft5 | No | No | No | 4 | UFA | Pro & Farm | 750,000$ | 0$ | 0$ | No | |
Mark Borowiecki | Barracudas (SJR) | D | 34 | 1989-07-12 | No | 204 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | |
Maxime Lagace | Barracudas (SJR) | G | 30 | 1993-01-12 | No | 190 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | |
Nathan Gerbe | Barracudas (SJR) | LW | 36 | 1987-07-24 | No | 176 Lbs | 5 ft4 | No | No | No | 1 | UFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | |
Taylor Leier | Barracudas (SJR) | LW | 28 | 1994-10-12 | No | 180 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Tyler Bozak | Barracudas (SJR) | C | 37 | 1986-03-19 | No | 187 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | |
Zack Mitchell | Barracudas (SJR) | RW | 29 | 1993-10-12 | No | 196 Lbs | 6 ft1 | No | No | No | 2 | UFA | Pro & Farm | 900,000$ | 0$ | 0$ | No |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 29.50 | 199 Lbs | 6 ft1 | 2.38 | 943,750$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
2 | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | ||
2 | 45 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Bayou | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.750 | 5 | 9 | 14 | 0 | 1 | 13 | 12 | 14 | 1 | 41 | 74 | 86 | 89 | 5 | 26 | 9 | 10 | 19 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
2 | Chiwawa | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 13 | 12 | 14 | 1 | 16 | 74 | 86 | 89 | 5 | 28 | 10 | 18 | 16 | 1 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
3 | Predateurs | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 13 | 12 | 14 | 1 | 45 | 74 | 86 | 89 | 5 | 52 | 19 | 23 | 40 | 11 | 1 | 9.09% | 9 | 3 | 66.67% | 1 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
4 | Supreme | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 13 | 12 | 14 | 1 | 20 | 74 | 86 | 89 | 5 | 36 | 15 | 12 | 12 | 1 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
Total | 13 | 6 | 5 | 0 | 1 | 1 | 0 | 0 | 40 | 38 | 2 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 17 | 8 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 21 | -6 | 15 | 0.577 | 40 | 70 | 110 | 0 | 1 | 13 | 12 | 14 | 1 | 254 | 74 | 86 | 89 | 5 | 295 | 94 | 118 | 156 | 39 | 8 | 20.51% | 54 | 16 | 70.37% | 2 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 | |
6 | Twins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 13 | 12 | 14 | 1 | 41 | 74 | 86 | 89 | 5 | 32 | 5 | 12 | 18 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
7 | Vandals | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 13 | 12 | 14 | 1 | 38 | 74 | 86 | 89 | 5 | 50 | 23 | 16 | 19 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
8 | Vipers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 13 | 12 | 14 | 1 | 37 | 74 | 86 | 89 | 5 | 48 | 7 | 14 | 21 | 9 | 4 | 44.44% | 7 | 2 | 71.43% | 1 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
9 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 13 | 12 | 14 | 1 | 16 | 74 | 86 | 89 | 5 | 23 | 6 | 13 | 11 | 4 | 1 | 25.00% | 4 | 2 | 50.00% | 0 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
_Since Last GM Reset | 13 | 6 | 5 | 0 | 1 | 1 | 0 | 0 | 40 | 38 | 2 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 17 | 8 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 21 | -6 | 15 | 0.577 | 40 | 70 | 110 | 0 | 1 | 13 | 12 | 14 | 1 | 254 | 74 | 86 | 89 | 5 | 295 | 94 | 118 | 156 | 39 | 8 | 20.51% | 54 | 16 | 70.37% | 2 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 | |
_Vs Conference | 13 | 6 | 5 | 0 | 1 | 1 | 0 | 0 | 40 | 38 | 2 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 17 | 8 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 21 | -6 | 15 | 0.577 | 40 | 70 | 110 | 0 | 1 | 13 | 12 | 14 | 1 | 254 | 74 | 86 | 89 | 5 | 295 | 94 | 118 | 156 | 39 | 8 | 20.51% | 54 | 16 | 70.37% | 2 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 | |
_Vs Division | 11 | 6 | 3 | 0 | 1 | 1 | 0 | 0 | 36 | 28 | 8 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 23 | 11 | 12 | 5 | 1 | 2 | 0 | 1 | 1 | 0 | 0 | 13 | 17 | -4 | 15 | 0.682 | 36 | 64 | 100 | 0 | 1 | 13 | 12 | 14 | 1 | 218 | 74 | 86 | 89 | 5 | 231 | 69 | 88 | 128 | 37 | 8 | 21.62% | 39 | 11 | 71.79% | 2 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
13 | 15 | L1 | 40 | 70 | 110 | 254 | 295 | 94 | 118 | 156 | 0 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 6 | 5 | 1 | 1 | 0 | 0 | 40 | 38 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 5 | 2 | 0 | 0 | 0 | 0 | 25 | 17 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 1 | 3 | 1 | 1 | 0 | 0 | 15 | 21 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 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 |
---|---|---|---|---|---|---|
39 | 8 | 20.51% | 54 | 16 | 70.37% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
74 | 86 | 89 | 5 | 13 | 12 | 14 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
400 | 304 | 215 | 88 | 170 | 88 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2024-04-06 | 11 | Predateurs | 2 | Barracudas | 4 | W | BoxScore | |||
3 - 2024-04-08 | 30 | Wolves | 3 | Barracudas | 2 | L | BoxScore | |||
4 - 2024-04-09 | 42 | Barracudas | 2 | Bayou | 3 | L | X | BoxScore | ||
7 - 2024-04-12 | 65 | Chiwawa | 6 | Barracudas | 2 | L | BoxScore | |||
8 - 2024-04-13 | 78 | Barracudas | 2 | Vandals | 6 | L | BoxScore | |||
9 - 2024-04-14 | 86 | Barracudas | 4 | Predateurs | 3 | W | X | BoxScore | ||
11 - 2024-04-16 | 110 | Vandals | 2 | Barracudas | 4 | W | BoxScore | |||
12 - 2024-04-17 | 125 | Barracudas | 2 | Supreme | 4 | L | BoxScore | |||
13 - 2024-04-18 | 140 | Vipers | 3 | Barracudas | 6 | W | BoxScore | |||
15 - 2024-04-20 | 151 | Barracudas | 3 | Twins | 2 | W | BoxScore | |||
16 - 2024-04-21 | 170 | Twins | 1 | Barracudas | 4 | W | BoxScore | |||
18 - 2024-04-23 | 191 | Bayou | 0 | Barracudas | 3 | W | BoxScore | |||
19 - 2024-04-24 | 196 | Barracudas | 2 | Vipers | 3 | L | BoxScore | |||
21 - 2024-04-26 | 217 | Barracudas | - | Outlaws | - | |||||
22 - 2024-04-27 | 231 | Barracudas | - | Wolves | - | |||||
23 - 2024-04-28 | 243 | Spartans | - | Barracudas | - | |||||
25 - 2024-04-30 | 261 | Barracudas | - | Supreme | - | |||||
26 - 2024-05-01 | 275 | Thugs | - | Barracudas | - | |||||
28 - 2024-05-03 | 294 | Husky | - | Barracudas | - | |||||
30 - 2024-05-05 | 313 | Twins | - | Barracudas | - | |||||
31 - 2024-05-06 | 333 | Barracudas | - | Warriors | - | |||||
32 - 2024-05-07 | 344 | Barracudas | - | Igloos | - | |||||
34 - 2024-05-09 | 355 | Barracudas | - | CoolFm | - | |||||
35 - 2024-05-10 | 368 | Snowbirds | - | Barracudas | - | |||||
36 - 2024-05-11 | 387 | Vipers | - | Barracudas | - | |||||
38 - 2024-05-13 | 408 | Barracudas | - | Xpress | - | |||||
39 - 2024-05-14 | 417 | Bayou | - | Barracudas | - | |||||
41 - 2024-05-16 | 435 | Wolves | - | Barracudas | - | |||||
43 - 2024-05-18 | 456 | Barracudas | - | Farmers | - | |||||
44 - 2024-05-19 | 462 | Barracudas | - | Hunters | - | |||||
45 - 2024-05-20 | 477 | Smirnoff Ice | - | Barracudas | - | |||||
47 - 2024-05-22 | 502 | Rockets | - | Barracudas | - | |||||
48 - 2024-05-23 | 513 | Barracudas | - | Grizzlies | - | |||||
49 - 2024-05-24 | 527 | Barracudas | - | Marlies | - | |||||
50 - 2024-05-25 | 536 | Barracudas | - | Spartans | - | |||||
51 - 2024-05-26 | 552 | Predateurs | - | Barracudas | - | |||||
53 - 2024-05-28 | 574 | Vandals | - | Barracudas | - | |||||
56 - 2024-05-31 | 595 | Bandits | - | Barracudas | - | |||||
57 - 2024-06-01 | 610 | Barracudas | - | Bayou | - | |||||
59 - 2024-06-03 | 626 | Marlies | - | Barracudas | - | |||||
60 - 2024-06-04 | 637 | Barracudas | - | Smirnoff Ice | - | |||||
61 - 2024-06-05 | 646 | Barracudas | - | Goons | - | |||||
63 - 2024-06-07 | 663 | Barracudas | - | Wolves | - | |||||
64 - 2024-06-08 | 677 | Raptors | - | Barracudas | - | |||||
65 - 2024-06-09 | 696 | Igloos | - | Barracudas | - | |||||
67 - 2024-06-11 | 719 | Marmots | - | Barracudas | - | |||||
69 - 2024-06-13 | 732 | Barracudas | - | TigersCats | - | |||||
70 - 2024-06-14 | 750 | Barracudas | - | Outlaws | - | |||||
71 - 2024-06-15 | 759 | Barracudas | - | Bandits | - | |||||
72 - 2024-06-16 | 768 | Supreme | - | Barracudas | - | |||||
73 - 2024-06-17 | 791 | CoolFm | - | Barracudas | - | |||||
74 - 2024-06-18 | 809 | Xpress | - | Barracudas | - | |||||
75 - 2024-06-19 | 817 | Barracudas | - | Scorpions | - | |||||
77 - 2024-06-21 | 838 | Barracudas | - | Snowbirds | - | |||||
78 - 2024-06-22 | 850 | Warriors | - | Barracudas | - | |||||
80 - 2024-06-24 | 872 | Hunters | - | Barracudas | - | |||||
81 - 2024-06-25 | 876 | Barracudas | - | Vandals | - | |||||
83 - 2024-06-27 | 905 | TigersCats | - | Barracudas | - | |||||
85 - 2024-06-29 | 919 | Barracudas | - | Twins | - | |||||
86 - 2024-06-30 | 933 | Saguenéens | - | Barracudas | - | |||||
87 - 2024-07-01 | 939 | Barracudas | - | Chiwawa | - | |||||
89 - 2024-07-03 | 963 | Barracudas | - | Saguenéens | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
90 - 2024-07-04 | 975 | Goons | - | Barracudas | - | |||||
91 - 2024-07-05 | 983 | Barracudas | - | Husky | - | |||||
93 - 2024-07-07 | 1007 | Outlaws | - | Barracudas | - | |||||
94 - 2024-07-08 | 1016 | Barracudas | - | Thugs | - | |||||
96 - 2024-07-10 | 1036 | Grizzlies | - | Barracudas | - | |||||
97 - 2024-07-11 | 1048 | Barracudas | - | Rockets | - | |||||
98 - 2024-07-12 | 1057 | Barracudas | - | Predateurs | - | |||||
100 - 2024-07-14 | 1073 | Barracudas | - | Vipers | - | |||||
101 - 2024-07-15 | 1079 | Barracudas | - | Marmots | - | |||||
102 - 2024-07-16 | 1088 | Scorpions | - | Barracudas | - | |||||
105 - 2024-07-19 | 1111 | Chiwawa | - | Barracudas | - | |||||
107 - 2024-07-21 | 1134 | Farmers | - | Barracudas | - | |||||
111 - 2024-07-25 | 1161 | Outlaws | - | Barracudas | - | |||||
112 - 2024-07-26 | 1177 | Barracudas | - | Raptors | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 14,000 | 6,993 |
Attendance PCT | 100.00% | 99.90% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 2999 - 99.97% | 101,982$ | 713,874$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
672,416$ | 1,510,000$ | 1,510,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 252,061$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,161,442$ | 94 | 35,487$ | 3,335,778$ |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | 82 | 31 | 39 | 0 | 5 | 7 | 0 | 0 | 236 | 269 | -33 | 41 | 14 | 21 | 0 | 2 | 4 | 0 | 0 | 122 | 132 | -10 | 41 | 17 | 18 | 0 | 3 | 3 | 0 | 0 | 114 | 137 | -23 | 79 | 236 | 457 | 693 | 4 | 4 | 65 | 80 | 86 | 5 | 1634 | 422 | 550 | 647 | 15 | 1814 | 571 | 1393 | 1030 | 246 | 39 | 15.85% | 307 | 72 | 76.55% | 8 | 643 | 1234 | 52.11% | 718 | 1300 | 55.23% | 715 | 1316 | 54.33% | 2394 | 1797 | 1490 | 555 | 1057 | 540 |
46 | 82 | 23 | 44 | 0 | 8 | 5 | 1 | 1 | 223 | 257 | -34 | 41 | 10 | 27 | 0 | 2 | 2 | 0 | 0 | 101 | 136 | -35 | 41 | 13 | 17 | 0 | 6 | 3 | 1 | 1 | 122 | 121 | 1 | 70 | 223 | 424 | 647 | 1 | 3 | 43 | 82 | 89 | 10 | 1621 | 422 | 526 | 643 | 36 | 1877 | 554 | 897 | 962 | 218 | 33 | 15.14% | 309 | 80 | 74.11% | 4 | 635 | 1195 | 53.14% | 705 | 1298 | 54.31% | 653 | 1222 | 53.44% | 2403 | 1805 | 1495 | 547 | 1054 | 538 |
47 | 13 | 6 | 5 | 0 | 1 | 1 | 0 | 0 | 40 | 38 | 2 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 17 | 8 | 6 | 1 | 3 | 0 | 1 | 1 | 0 | 0 | 15 | 21 | -6 | 15 | 40 | 70 | 110 | 0 | 1 | 13 | 12 | 14 | 1 | 254 | 74 | 86 | 89 | 5 | 295 | 94 | 118 | 156 | 39 | 8 | 20.51% | 54 | 16 | 70.37% | 2 | 104 | 177 | 58.76% | 111 | 208 | 53.37% | 123 | 215 | 57.21% | 400 | 304 | 215 | 88 | 170 | 88 |
Total Regular Season | 177 | 60 | 88 | 0 | 14 | 13 | 1 | 1 | 499 | 564 | -65 | 89 | 29 | 50 | 0 | 4 | 6 | 0 | 0 | 248 | 285 | -37 | 88 | 31 | 38 | 0 | 10 | 7 | 1 | 1 | 251 | 279 | -28 | 164 | 499 | 951 | 1450 | 5 | 8 | 121 | 174 | 189 | 16 | 3509 | 918 | 1162 | 1379 | 56 | 3986 | 1219 | 2408 | 2148 | 503 | 80 | 15.90% | 670 | 168 | 74.93% | 14 | 1382 | 2606 | 53.03% | 1534 | 2806 | 54.67% | 1491 | 2753 | 54.16% | 5198 | 3907 | 3200 | 1191 | 2282 | 1168 |