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 | Adrian Kempe | X | 100.00 | 78 | 64 | 91 | 89 | 80 | 82 | 84 | 76 | 57 | 78 | 74 | 74 | 67 | 72 | 74 | 0 | 47 | 74 | 0 | 24 | 3 | 2,000,000$ | ||||
2 | David Kampf (R) | X | 100.00 | 74 | 58 | 97 | 84 | 77 | 79 | 83 | 69 | 76 | 67 | 71 | 82 | 53 | 71 | 72 | 0 | 50 | 72 | 0 | 26 | 2 | 1,000,000$ | ||||
3 | Nick Ritchie (R) | X | 100.00 | 91 | 75 | 58 | 84 | 94 | 80 | 57 | 76 | 50 | 76 | 76 | 72 | 57 | 74 | 74 | 0 | 47 | 71 | 0 | 25 | 2 | 1,627,000$ | ||||
4 | Patrick Eaves | X | 100.00 | 91 | 68 | 88 | 85 | 81 | 60 | 35 | 61 | 50 | 60 | 62 | 68 | 50 | 84 | 75 | 0 | 50 | 66 | 0 | 36 | 1 | 756,000$ | ||||
5 | Jonas Siegenthaler (R) | X | 100.00 | 75 | 65 | 86 | 85 | 85 | 81 | 78 | 67 | 50 | 67 | 65 | 90 | 50 | 69 | 70 | 0 | 50 | 74 | 0 | 23 | 1 | 925,000$ | ||||
6 | Brendan Smith | X | 100.00 | 85 | 69 | 76 | 87 | 83 | 77 | 71 | 67 | 50 | 66 | 66 | 74 | 50 | 79 | 77 | 0 | 50 | 72 | 0 | 31 | 2 | 600,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Matt Nieto | X | X | 100.00 | 70 | 63 | 98 | 86 | 79 | 79 | 83 | 71 | 50 | 70 | 71 | 84 | 53 | 79 | 78 | 0 | 50 | 72 | 0 | 28 | 0 | 0$ | |||
2 | Nick Cousins (R) | X | 100.00 | 85 | 64 | 88 | 86 | 81 | 79 | 77 | 74 | 60 | 74 | 74 | 76 | 62 | 74 | 75 | 0 | 50 | 72 | 0 | 27 | 1 | 750,000$ | ||||
3 | Brock McGinn (R) | X | X | 100.00 | 81 | 61 | 94 | 86 | 80 | 79 | 80 | 70 | 50 | 69 | 70 | 84 | 53 | 74 | 77 | 0 | 50 | 72 | 0 | 26 | 1 | 1,575,000$ | |||
4 | Charles Hudon (R) | X | 100.00 | 88 | 67 | 95 | 84 | 84 | 77 | 35 | 66 | 50 | 65 | 67 | 71 | 50 | 69 | 71 | 0 | 50 | 67 | 0 | 26 | 0 | 0$ | ||||
5 | Nikolay Goldobin (R) | X | 100.00 | 78 | 59 | 90 | 90 | 81 | 74 | 35 | 60 | 50 | 60 | 60 | 70 | 50 | 69 | 71 | 0 | 50 | 65 | 0 | 25 | 1 | 1,137,500$ | ||||
6 | Jamie Oleksiak | X | 100.00 | 92 | 87 | 87 | 77 | 98 | 81 | 84 | 68 | 50 | 67 | 66 | 67 | 50 | 75 | 77 | 0 | 50 | 74 | 0 | 28 | 2 | 2,317,500$ | ||||
TEAM AVERAGE | 100.00 | 82 | 67 | 87 | 85 | 84 | 77 | 67 | 69 | 54 | 68 | 69 | 76 | 54 | 74 | 74 | 0 | 50 | 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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adrian Kempe | Monsters (FGI) | LW | 24 | 1996-09-13 15:26:19 | No | 195 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 2,000,000$ | 2,000,000$ | 0$ | 0$ | No | 2,000,000$ | 2,000,000$ | Link | |||||||
Brendan Smith | Monsters (FGI) | D | 31 | 1989-02-08 21:26:19 | No | 198 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | 600,000$ | Link | ||||||||
Brock McGinn | Monsters (FGI) | LW/RW | 26 | 1994-02-02 03:26:19 | Yes | 185 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,575,000$ | 1,575,000$ | 0$ | 0$ | No | Link | |||||||||
Charles Hudon | Monsters (FGI) | LW | 26 | 1994-06-23 17:43:45 | Yes | 196 Lbs | 5 ft10 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
David Kampf | Monsters (FGI) | C | 26 | 1995-01-12 08:37:15 | Yes | 188 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | |||||||||
Jamie Oleksiak | Monsters (FGI) | D | 28 | 1992-12-21 15:26:19 | No | 250 Lbs | 6 ft7 | Yes | No | No | 2 | Pro & Farm | 2,317,500$ | 2,317,500$ | 0$ | 0$ | No | 2,317,500$ | Link | ||||||||
Jonas Siegenthaler | Monsters (FGI) | D | 23 | 1997-05-06 08:42:02 | Yes | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | ||||||||||
Matt Nieto | Monsters (FGI) | LW/RW | 28 | 1992-11-05 15:26:19 | No | 190 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Nick Cousins | Monsters (FGI) | C | 27 | 1993-07-20 21:26:19 | Yes | 188 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Nick Ritchie | Monsters (FGI) | LW | 25 | 1995-12-05 09:26:19 | Yes | 232 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,627,000$ | 1,627,000$ | 0$ | 0$ | No | 1,627,000$ | Link | ||||||||
Nikolay Goldobin | Monsters (FGI) | RW | 25 | 1995-10-07 17:54:06 | Yes | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | Link | |||||||||
Patrick Eaves | Monsters (FGI) | RW | 36 | 1984-05-01 15:26:19 | No | 187 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 756,000$ | 756,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
12 | 27.08 | 201 Lbs | 6 ft1 | 1.33 | 1,057,333$ |
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 | Patrick Eaves | 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 | ||||||
---|---|---|---|---|---|---|
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 |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Patrick Eaves, , | Patrick Eaves, |
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 |
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$ | 1,268,800$ | 1,268,800$ | 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 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 24 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 10 | 19 | 29 | 0 | 0 | 2 | 5 | 3 | 0 | 115 | 38 | 42 | 35 | 0 | 161 | 57 | 30 | 65 | 15 | 4 | 26.67% | 15 | 12 | 20.00% | 0 | 43 | 86 | 50.00% | 29 | 67 | 43.28% | 29 | 69 | 42.03% | 80 | 46 | 93 | 39 | 65 | 30 |
2019 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 24 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 10 | 19 | 29 | 0 | 0 | 2 | 5 | 3 | 0 | 115 | 38 | 42 | 35 | 0 | 161 | 57 | 30 | 65 | 15 | 4 | 26.67% | 15 | 12 | 20.00% | 0 | 43 | 86 | 50.00% | 29 | 67 | 43.28% | 29 | 69 | 42.03% | 80 | 46 | 93 | 39 | 65 | 30 |
Total Playoff | 8 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 20 | 48 | -28 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 22 | -14 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 26 | -14 | 0 | 20 | 38 | 58 | 0 | 0 | 4 | 10 | 6 | 0 | 230 | 76 | 84 | 70 | 0 | 322 | 114 | 60 | 130 | 30 | 8 | 26.67% | 30 | 24 | 20.00% | 0 | 86 | 172 | 50.00% | 58 | 134 | 43.28% | 58 | 138 | 42.03% | 161 | 93 | 186 | 79 | 131 | 60 |