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 | Calle Jarnkrok | X | X | X | 100.00 | 69 | 60 | 95 | 88 | 79 | 81 | 78 | 79 | 59 | 78 | 79 | 82 | 62 | 79 | 79 | 0 | 47 | 74 | 0 | 29 | 3 | 2,000,000$ | ||
2 | Adam Gaudette (R) | X | 100.00 | 70 | 54 | 87 | 85 | 71 | 78 | 69 | 79 | 63 | 80 | 78 | 73 | 62 | 70 | 72 | 0 | 50 | 73 | 0 | 24 | 1 | 1,491,667$ | ||||
3 | Zach Sanford (R) | X | 100.00 | 90 | 65 | 89 | 81 | 86 | 79 | 69 | 79 | 50 | 75 | 83 | 81 | 62 | 71 | 75 | 0 | 50 | 73 | 0 | 26 | 2 | 1,500,000$ | ||||
4 | Zach Aston-Reese | X | X | 100.00 | 92 | 68 | 89 | 84 | 87 | 80 | 68 | 70 | 50 | 68 | 71 | 83 | 53 | 70 | 72 | 0 | 47 | 72 | 0 | 26 | 2 | 1,000,000$ | |||
5 | Miles Wood | X | X | 100.00 | 86 | 66 | 82 | 89 | 80 | 79 | 80 | 72 | 50 | 70 | 74 | 68 | 56 | 72 | 74 | 0 | 47 | 71 | 0 | 25 | 3 | 550,000$ | |||
6 | Anders Bjork (R) | X | 100.00 | 74 | 58 | 96 | 88 | 78 | 78 | 68 | 72 | 50 | 70 | 74 | 78 | 56 | 69 | 70 | 0 | 50 | 70 | 0 | 24 | 1 | 1,066,667$ | ||||
7 | Victor Rask | X | 100.00 | 72 | 61 | 97 | 80 | 80 | 76 | 49 | 71 | 62 | 70 | 72 | 75 | 54 | 75 | 76 | 0 | 50 | 69 | 0 | 27 | 3 | 2,500,000$ | ||||
8 | Josh Anderson | X | 100.00 | 93 | 74 | 86 | 82 | 88 | 82 | 35 | 66 | 50 | 67 | 65 | 78 | 50 | 73 | 77 | 0 | 45 | 69 | 0 | 26 | 1 | 1,850,000$ | ||||
9 | Adam Fox (R) | X | 100.00 | 70 | 54 | 90 | 86 | 75 | 84 | 88 | 79 | 50 | 85 | 71 | 76 | 53 | 68 | 73 | 0 | 50 | 73 | 0 | 22 | 3 | 1,775,000$ | ||||
10 | Danny Dekeyser | X | 100.00 | 74 | 67 | 89 | 83 | 78 | 88 | 35 | 75 | 50 | 85 | 62 | 86 | 50 | 76 | 79 | 0 | 47 | 72 | 0 | 30 | 3 | 621,000$ | ||||
11 | Philippe Myers (R) | X | 100.00 | 88 | 67 | 87 | 77 | 87 | 83 | 62 | 73 | 50 | 75 | 69 | 73 | 52 | 69 | 70 | 0 | 50 | 72 | 0 | 24 | 1 | 703,333$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Sam Steel (R) | X | 100.00 | 68 | 57 | 93 | 88 | 77 | 81 | 79 | 73 | 78 | 75 | 70 | 70 | 59 | 68 | 70 | 0 | 50 | 71 | 0 | 22 | 2 | 925,000$ | ||||
2 | Brett Ritchie (R) | X | 100.00 | 95 | 72 | 83 | 84 | 90 | 76 | 35 | 69 | 50 | 69 | 68 | 70 | 51 | 72 | 74 | 0 | 50 | 69 | 0 | 27 | 1 | 1,312,500$ | ||||
3 | Brendan Leipsic (R) | X | 100.00 | 77 | 63 | 95 | 85 | 76 | 75 | 69 | 67 | 53 | 68 | 66 | 72 | 50 | 70 | 70 | 0 | 50 | 68 | 0 | 26 | 1 | 700,000$ | ||||
TEAM AVERAGE | 100.00 | 80 | 63 | 90 | 84 | 81 | 80 | 63 | 73 | 55 | 74 | 72 | 76 | 55 | 72 | 74 | 0 | 49 | 71 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 84 | 77 | 78 | 88 | 75 | 69 | 99 | USA | 45 | 1 | 550,000$ |
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 | 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | Distraction (MRS) | D | 22 | 1998-02-17 16:14:13 | Yes | 181 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 1,775,000$ | 1,775,000$ | 0$ | 0$ | No | 1,775,000$ | 1,775,000$ | ||||||||
Adam Gaudette | Distraction (MRS) | C | 24 | 1996-10-03 03:41:26 | Yes | 170 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,491,667$ | 1,491,667$ | 0$ | 0$ | No | ||||||||||
Anders Bjork | Distraction (MRS) | LW | 24 | 1996-08-05 16:07:09 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,066,667$ | 1,066,667$ | 0$ | 0$ | No | ||||||||||
Brendan Leipsic | Distraction (MRS) | LW | 26 | 1994-05-19 10:23:05 | Yes | 179 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Brett Ritchie | Distraction (MRS) | RW | 27 | 1993-07-01 21:26:19 | Yes | 220 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,312,500$ | 1,312,500$ | 0$ | 0$ | No | Link | |||||||||
Calle Jarnkrok | Distraction (MRS) | C/LW/RW | 29 | 1991-09-25 09:26:19 | No | 186 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | Link | |||||||
Danny Dekeyser | Distraction (MRS) | D | 30 | 1990-03-07 03:26:19 | No | 191 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 621,000$ | 621,000$ | 0$ | 0$ | No | 621,000$ | 621,000$ | Link | |||||||
Josh Anderson | Distraction (MRS) | RW | 26 | 1994-05-07 03:26:19 | No | 221 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,850,000$ | 1,850,000$ | 0$ | 0$ | No | Link | |||||||||
Miles Wood | Distraction (MRS) | LW/RW | 25 | 1995-09-13 09:26:19 | No | 195 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | 550,000$ | 550,000$ | Link | |||||||
Philippe Myers | Distraction (MRS) | D | 24 | 1997-01-25 16:18:42 | Yes | 210 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 703,333$ | 703,333$ | 0$ | 0$ | No | ||||||||||
Sam Steel | Distraction (MRS) | C | 22 | 1998-02-03 03:52:21 | Yes | 189 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | |||||||||
Victor Rask | Distraction (MRS) | C | 27 | 1993-03-01 21:26:19 | No | 200 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 2,500,000$ | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | Link | |||||||
Zach Aston-Reese | Distraction (MRS) | LW/RW | 26 | 1994-08-10 12:41:35 | No | 204 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | |||||||||
Zach Sanford | Distraction (MRS) | LW | 26 | 1994-11-09 16:25:07 | Yes | 207 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
14 | 25.57 | 196 Lbs | 6 ft1 | 1.93 | 1,285,369$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Adam Gaudette | 40 | 1 | 2 | 2 | ||
2 | Victor Rask | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Adam Gaudette | Victor Rask | 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 | Adam Gaudette | 60 | 1 | 2 | 2 | ||
2 | Victor Rask | 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 | Adam Gaudette | 60 | 1 | 2 | 2 | |
2 | Victor Rask | 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 | Adam Gaudette | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Adam Gaudette | 60 | 1 | 2 | 2 | |
2 | Victor Rask | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Adam Gaudette |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Adam Gaudette |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Victor Rask, , Adam Gaudette | Victor Rask, | Adam Gaudette |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
---|
, Adam Gaudette, Victor Rask, , |
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 |
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 |
---|
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena 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 | Arena 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$ | 1,799,517$ | 1,799,517$ | 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$ |
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 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2019 | 19 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 124 | 70 | 54 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 69 | 32 | 37 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 55 | 38 | 17 | 28 | 124 | 212 | 336 | 0 | 0 | 23 | 49 | 51 | 1 | 773 | 234 | 278 | 257 | 4 | 835 | 277 | 212 | 260 | 67 | 40 | 59.70% | 76 | 37 | 51.32% | 1 | 207 | 376 | 55.05% | 340 | 615 | 55.28% | 228 | 402 | 56.72% | 388 | 248 | 468 | 168 | 289 | 131 |
2019 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 38 | -21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 20 | -13 | 2 | 17 | 32 | 49 | 1 | 0 | 6 | 6 | 5 | 0 | 212 | 66 | 81 | 65 | 0 | 197 | 78 | 72 | 102 | 18 | 10 | 55.56% | 16 | 11 | 31.25% | 0 | 60 | 155 | 38.71% | 44 | 97 | 45.36% | 41 | 102 | 40.20% | 122 | 77 | 101 | 35 | 75 | 41 |
2019 | 19 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 124 | 70 | 54 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 69 | 32 | 37 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 55 | 38 | 17 | 28 | 124 | 212 | 336 | 0 | 0 | 23 | 49 | 51 | 1 | 773 | 234 | 278 | 257 | 4 | 835 | 277 | 212 | 260 | 67 | 40 | 59.70% | 76 | 37 | 51.32% | 1 | 207 | 376 | 55.05% | 340 | 615 | 55.28% | 228 | 402 | 56.72% | 388 | 248 | 468 | 168 | 289 | 131 |
2019 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 38 | -21 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 20 | -13 | 2 | 17 | 32 | 49 | 1 | 0 | 6 | 6 | 5 | 0 | 212 | 66 | 81 | 65 | 0 | 197 | 78 | 72 | 102 | 18 | 10 | 55.56% | 16 | 11 | 31.25% | 0 | 60 | 155 | 38.71% | 44 | 97 | 45.36% | 41 | 102 | 40.20% | 122 | 77 | 101 | 35 | 75 | 41 |
Total Playoff | 48 | 30 | 18 | 0 | 0 | 0 | 0 | 0 | 282 | 216 | 66 | 24 | 18 | 6 | 0 | 0 | 0 | 0 | 0 | 158 | 100 | 58 | 24 | 12 | 12 | 0 | 0 | 0 | 0 | 0 | 124 | 116 | 8 | 60 | 282 | 488 | 770 | 2 | 0 | 58 | 110 | 112 | 2 | 1970 | 600 | 718 | 644 | 8 | 2064 | 710 | 568 | 724 | 170 | 100 | 58.82% | 184 | 96 | 47.83% | 2 | 534 | 1062 | 50.28% | 768 | 1424 | 53.93% | 538 | 1008 | 53.37% | 1023 | 653 | 1139 | 407 | 730 | 345 |