Senators | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Farlou Ferland | Morale : 50 | Team Overall : N/A |
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 | Alexander Volkov (R) | X | X | 100.00 | 75 | 71 | 83 | 64 | 71 | 81 | 86 | 63 | 50 | 62 | 58 | 67 | 55 | 55 | 55 | 65 | 50 | 0 | 0 | 22 | 3 | 925,000$ | |||
2 | Filip Chlapik | X | 100.00 | 88 | 45 | 89 | 77 | 72 | 52 | 82 | 62 | 39 | 60 | 59 | 59 | 53 | 57 | 57 | 64 | 50 | 0 | 0 | 23 | 1 | 925,000$ | ||||
3 | Marko Dano | X | X | 100.00 | 68 | 75 | 51 | 76 | 75 | 67 | 71 | 56 | 50 | 57 | 47 | 63 | 45 | 58 | 58 | 57 | 50 | 0 | 0 | 25 | 2 | 925,000$ | |||
4 | Michael McLeod | X | 100.00 | 81 | 44 | 89 | 79 | 70 | 56 | 85 | 59 | 74 | 63 | 55 | 72 | 25 | 47 | 47 | 64 | 50 | 0 | 0 | 22 | 2 | 1,363,333$ | ||||
5 | Ryan Dzingel | X | X | 100.00 | 67 | 62 | 86 | 82 | 71 | 67 | 88 | 75 | 35 | 76 | 64 | 63 | 25 | 64 | 65 | 69 | 45 | 0 | 0 | 28 | 2 | 1,800,000$ | |||
6 | Robert Thomas | X | X | 100.00 | 59 | 41 | 91 | 83 | 68 | 68 | 85 | 69 | 59 | 84 | 68 | 55 | 25 | 59 | 61 | 70 | 54 | 0 | 0 | 20 | 2 | 1,177,500$ | |||
7 | Nick Paul | X | X | 100.00 | 87 | 69 | 87 | 71 | 87 | 67 | 78 | 61 | 77 | 65 | 70 | 72 | 25 | 56 | 56 | 71 | 50 | 0 | 0 | 25 | 2 | 750,000$ | |||
8 | Tyson Jost | X | X | 100.00 | 73 | 43 | 89 | 85 | 69 | 63 | 90 | 72 | 51 | 67 | 62 | 67 | 25 | 61 | 62 | 68 | 50 | 0 | 0 | 22 | 4 | 1,673,333$ | |||
9 | Michael Dal Colle | X | X | 100.00 | 80 | 44 | 92 | 66 | 74 | 61 | 75 | 60 | 56 | 60 | 58 | 62 | 25 | 55 | 56 | 63 | 49 | 0 | 0 | 24 | 2 | 700,000$ | |||
10 | Andreas Englund | X | 100.00 | 89 | 95 | 85 | 74 | 74 | 55 | 76 | 57 | 25 | 50 | 47 | 63 | 63 | 57 | 57 | 59 | 50 | 0 | 0 | 24 | 4 | 700,000$ | ||||
11 | Christian Jaros | X | 100.00 | 76 | 44 | 86 | 63 | 76 | 55 | 72 | 53 | 25 | 57 | 47 | 65 | 25 | 54 | 54 | 59 | 50 | 0 | 0 | 24 | 2 | 755,000$ | ||||
12 | Christian Wolanin | X | 100.00 | 72 | 70 | 78 | 79 | 70 | 55 | 59 | 45 | 25 | 28 | 43 | 62 | 41 | 57 | 57 | 51 | 50 | 0 | 0 | 25 | 2 | 925,000$ | ||||
13 | Jake Dotchin | X | 100.00 | 70 | 79 | 49 | 65 | 79 | 56 | 59 | 48 | 25 | 39 | 40 | 61 | 38 | 56 | 56 | 51 | 50 | 0 | 0 | 26 | 4 | 700,000$ | ||||
14 | Samuel Girard | X | 100.00 | 69 | 51 | 91 | 88 | 59 | 83 | 93 | 78 | 25 | 70 | 48 | 66 | 25 | 62 | 63 | 66 | 45 | 0 | 0 | 22 | 1 | 935,833$ | ||||
15 | Carl Dahlstrom | X | 100.00 | 61 | 43 | 87 | 61 | 86 | 65 | 58 | 61 | 25 | 46 | 47 | 73 | 75 | 59 | 59 | 57 | 50 | 0 | 0 | 25 | 1 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 58 | 82 | 74 | 73 | 63 | 77 | 61 | 43 | 59 | 54 | 65 | 38 | 57 | 58 | 62 | 50 | 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 |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Antoine Bibeau | 100.00 | 44 | 52 | 65 | 82 | 40 | 43 | 50 | 52 | 44 | 45 | 30 | 44 | 44 | 46 | 45 | 0 | 0 | |
2 | Artyom Zagidulin (R) | 100.00 | 51 | 57 | 71 | 73 | 49 | 54 | 50 | 56 | 52 | 52 | 30 | 44 | 44 | 53 | 45 | 0 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 48 | 55 | 68 | 78 | 45 | 49 | 50 | 54 | 48 | 49 | 30 | 44 | 44 | 50 | 45 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Gomez | 59 | 65 | 56 | 59 | 59 | 55 | 86 | USA | 42 | 3 | 850,000$ |
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 Average | Salary Ave 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Volkov | Senators (OTT) | LW/RW | 22 | 1997-08-02 | Yes | 191 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Andreas Englund | Senators (OTT) | D | 24 | 1996-01-21 | No | 189 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | 700,000$ | Link | ||||||||
Antoine Bibeau (1 Way Contract) | Senators (OTT) | G | 26 | 1994-05-01 | No | 207 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 0$ | No | 750,000$ | Link | ||||||||||
Artyom Zagidulin | Senators (OTT) | G | 25 | 1995-01-01 | Yes | 200 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||||
Carl Dahlstrom | Senators (OTT) | D | 25 | 1995-01-28 | No | 231 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Link | |||||||||||
Christian Jaros | Senators (OTT) | D | 24 | 1996-04-02 | No | 201 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 755,000$ | 450,000$ | 0$ | 0$ | No | 755,000$ | Link | ||||||||||
Christian Wolanin | Senators (OTT) | D | 25 | 1995-03-17 | No | 185 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 450,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
Filip Chlapik | Senators (OTT) | C | 23 | 1997-06-03 | No | 196 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Link | |||||||||||
Jake Dotchin | Senators (OTT) | D | 26 | 1994-03-24 | No | 210 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | 700,000$ | Link | ||||||||
Marko Dano | Senators (OTT) | LW/RW | 25 | 1994-11-30 | No | 212 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
Michael Dal Colle | Senators (OTT) | LW/RW | 24 | 1996-06-19 | No | 198 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Link | ||||||||||
Michael McLeod | Senators (OTT) | C | 22 | 1998-02-03 | No | 187 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,363,333$ | 450,000$ | 0$ | 0$ | No | 1,363,333$ | Link | ||||||||||
Nick Paul | Senators (OTT) | C/LW | 25 | 1995-03-20 | No | 230 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 750,000$ | 450,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||||
Robert Thomas | Senators (OTT) | C/RW | 20 | 1999-07-02 | No | 188 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,177,500$ | 1,177,500$ | 0$ | 0$ | No | 1,177,500$ | Link | ||||||||||
Ryan Dzingel | Senators (OTT) | LW/RW | 28 | 1992-03-09 | No | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,800,000$ | 1,800,000$ | 0$ | 0$ | No | 1,800,000$ | Link | ||||||||||
Samuel Girard | Senators (OTT) | D | 22 | 1998-05-12 | No | 162 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 935,833$ | 935,833$ | 0$ | 0$ | No | Link | |||||||||||
Tyson Jost | Senators (OTT) | C/LW | 22 | 1998-03-14 | No | 191 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 1,673,333$ | 1,673,333$ | 0$ | 0$ | No | 1,673,333$ | 1,673,333$ | 1,673,333$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 24.00 | 198 Lbs | 6 ft1 | 2.24 | 981,176$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Alexander Volkov | 38 | 1 | 2 | 2 | ||
2 | Ryan Dzingel | 30 | 1 | 2 | 2 | ||
3 | Nick Paul | Filip Chlapik | Marko Dano | 27 | 1 | 2 | 2 |
4 | Tyson Jost | Michael McLeod | Filip Chlapik | 5 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Carl Dahlstrom | 39 | 1 | 2 | 2 | ||
2 | Christian Jaros | Christian Wolanin | 33 | 1 | 2 | 2 | |
3 | Andreas Englund | Jake Dotchin | 28 | 1 | 2 | 2 | |
4 | Carl Dahlstrom | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Alexander Volkov | 55 | 0 | 0 | 5 | ||
2 | Ryan Dzingel | Filip Chlapik | 45 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Carl Dahlstrom | 55 | 0 | 0 | 5 | ||
2 | Christian Jaros | Christian Wolanin | 45 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Tyson Jost | 55 | 2 | 3 | 0 | |
2 | Michael McLeod | Nick Paul | 45 | 2 | 3 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Andreas Englund | Jake Dotchin | 55 | 2 | 3 | 0 |
2 | Christian Jaros | Christian Wolanin | 45 | 2 | 3 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 4 | 0 | Jake Dotchin | Andreas Englund | 55 | 1 | 4 | 0 | |
2 | Michael McLeod | 45 | 1 | 4 | 0 | Christian Jaros | Christian Wolanin | 45 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 50 | 1 | 2 | 2 | ||
2 | Ryan Dzingel | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Carl Dahlstrom | 50 | 1 | 2 | 2 | |
2 | Christian Jaros | Christian Wolanin | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Filip Chlapik | Carl Dahlstrom |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nick Paul | Michael McLeod | Carl Dahlstrom |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Alexander Volkov | , | Alexander Volkov |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Christian Wolanin, Jake Dotchin, | Christian Wolanin | Jake Dotchin, |
Penalty Shots |
---|
, , Filip Chlapik, Michael McLeod, |
Goalie |
---|
#1 : , #2 : Antoine Bibeau |
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 | |
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$ | 1,592,999$ | 1,393,666$ | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 34 | 35 | 0 | 4 | 1 | 2 | 6 | 207 | 224 | -17 | 41 | 21 | 15 | 0 | 2 | 0 | 0 | 3 | 109 | 103 | 6 | 41 | 13 | 20 | 0 | 2 | 1 | 2 | 3 | 98 | 121 | -23 | 87 | 207 | 349 | 556 | 1 | 7 | 71 | 72 | 58 | 6 | 1580 | 525 | 503 | 537 | 37 | 1770 | 518 | 1033 | 1584 | 464 | 69 | 14.87% | 445 | 56 | 87.42% | 3 | 1033 | 2229 | 46.34% | 1028 | 2218 | 46.35% | 522 | 1176 | 44.39% | 1942 | 1361 | 2054 | 602 | 970 | 472 |
Total Regular Season | 82 | 34 | 35 | 0 | 4 | 1 | 2 | 6 | 207 | 224 | -17 | 41 | 21 | 15 | 0 | 2 | 0 | 0 | 3 | 109 | 103 | 6 | 41 | 13 | 20 | 0 | 2 | 1 | 2 | 3 | 98 | 121 | -23 | 87 | 207 | 349 | 556 | 1 | 7 | 71 | 72 | 58 | 6 | 1580 | 525 | 503 | 537 | 37 | 1770 | 518 | 1033 | 1584 | 464 | 69 | 14.87% | 445 | 56 | 87.42% | 3 | 1033 | 2229 | 46.34% | 1028 | 2218 | 46.35% | 522 | 1176 | 44.39% | 1942 | 1361 | 2054 | 602 | 970 | 472 |