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 | Charles Hudon | X | X | X | 100.00 | 59 | 39 | 77 | 68 | 70 | 94 | 93 | 66 | 72 | 65 | 67 | 63 | 71 | 69 | 70 | 59 | 50 | 66 | 0 | ||
2 | Jayson Megna | X | X | 100.00 | 72 | 37 | 83 | 64 | 76 | 82 | 79 | 63 | 74 | 66 | 62 | 64 | 63 | 72 | 74 | 27 | 50 | 65 | 0 | |||
3 | Richard Panik | X | X | 100.00 | 73 | 39 | 84 | 67 | 81 | 80 | 75 | 66 | 58 | 65 | 62 | 61 | 68 | 74 | 73 | 56 | 50 | 65 | 0 | |||
4 | Joseph Cramarossa | X | 100.00 | 80 | 39 | 69 | 64 | 75 | 76 | 74 | 63 | 71 | 65 | 58 | 62 | 64 | 70 | 72 | 53 | 50 | 63 | 0 | ||||
5 | Sean Malone | X | 100.00 | 63 | 34 | 70 | 66 | 74 | 78 | 71 | 65 | 75 | 64 | 63 | 59 | 65 | 67 | 69 | 47 | 50 | 63 | 0 | ||||
6 | Danny O'Regan | X | X | 100.00 | 58 | 35 | 94 | 65 | 68 | 78 | 82 | 62 | 73 | 64 | 61 | 63 | 65 | 69 | 70 | 47 | 50 | 63 | 0 | |||
7 | Stefan Matteau | X | 100.00 | 78 | 44 | 79 | 59 | 82 | 78 | 66 | 57 | 71 | 60 | 58 | 64 | 56 | 68 | 70 | 66 | 50 | 62 | 0 | ||||
8 | Pierre-Cedric Labrie | X | 100.00 | 80 | 43 | 72 | 53 | 89 | 69 | 84 | 54 | 57 | 55 | 56 | 59 | 55 | 76 | 78 | 21 | 50 | 60 | 0 | ||||
9 | Tyrell Goulbourne | X | 100.00 | 64 | 38 | 71 | 54 | 73 | 66 | 63 | 52 | 57 | 53 | 51 | 56 | 52 | 68 | 70 | 54 | 50 | 56 | 0 | ||||
10 | Dean Kukan | X | 100.00 | 66 | 36 | 89 | 65 | 78 | 86 | 81 | 62 | 30 | 71 | 59 | 63 | 52 | 69 | 71 | 36 | 50 | 66 | 0 | ||||
11 | Cameron Schilling | X | 100.00 | 72 | 45 | 70 | 59 | 81 | 73 | 67 | 58 | 30 | 66 | 56 | 62 | 48 | 74 | 76 | 23 | 50 | 63 | 0 | ||||
12 | Seth Helgeson | X | 100.00 | 81 | 45 | 64 | 53 | 90 | 63 | 89 | 52 | 30 | 54 | 53 | 58 | 45 | 72 | 77 | 37 | 50 | 62 | 0 | ||||
13 | Ashton Sautner | X | 100.00 | 67 | 39 | 75 | 59 | 76 | 67 | 69 | 58 | 30 | 57 | 54 | 56 | 45 | 68 | 70 | 36 | 50 | 60 | 0 | ||||
14 | Keaton Thompson | X | 100.00 | 62 | 41 | 69 | 56 | 71 | 66 | 68 | 55 | 30 | 54 | 53 | 56 | 45 | 67 | 69 | 54 | 50 | 58 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 40 | 76 | 61 | 77 | 75 | 76 | 60 | 54 | 61 | 58 | 60 | 57 | 70 | 72 | 44 | 50 | 62 |
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 | Malcolm Subban | 100.00 | 74 | 77 | 75 | 83 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 70 | 83 | 66 | 50 | 73 | 0 | |
2 | Troy Grosenick | 100.00 | 75 | 73 | 72 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 73 | 87 | 46 | 50 | 73 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 75 | 75 | 74 | 80 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 72 | 85 | 56 | 50 | 73 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 64 | 61 | 65 | 70 | 75 | 70 | 75 | USA | 52 | 1 | 100,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ashton Sautner | Marlies (Tor) | D | 72 | 7 | 9 | 16 | -41 | 86 | 0 | 149 | 63 | 51 | 15 | 28 | 13.73% | 76 | 657 | 9.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 4 |
2 | Joseph Cramarossa | Marlies (Tor) | C | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 5 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 1 | 0 | 0 | 0 | 0 | 10 | 2 |
3 | Tyrell Goulbourne | Marlies (Tor) | LW | 72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0.00% | 0 | 5 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 7 |
Team Total or Average | 216 | 7 | 9 | 16 | -41 | 86 | 0 | 149 | 63 | 54 | 15 | 32 | 12.96% | 76 | 669 | 3.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 72.73% | 11 | 0 | 0 | 0 | 0 | 0.48 | 0 | 2 | 0 | 0 | 0 | 11 | 13 | 13 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Troy Grosenick | Marlies (Tor) | 2 | 0 | 2 | 0 | 0.913 | 4.00 | 120 | 2 | 0 | 8 | 92 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 0 | 0 |
Team Total or Average | 2 | 0 | 2 | 0 | 0.913 | 4.00 | 120 | 2 | 0 | 8 | 92 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 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 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ashton Sautner | D | 28 | 1994-05-27 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Cameron Schilling | D | 34 | 1988-10-07 | No | 190 Lbs | 6 ft3 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Charles Hudon | C/LW/RW | 28 | 1994-06-23 | No | 190 Lbs | 5 ft10 | No | No | No | 4 | UFA | Pro & Farm | 785,662$ | 0$ | 0$ | No | Link / NHL Link | |
Danny O'Regan | C/LW | 29 | 1994-01-30 | No | 180 Lbs | 5 ft10 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Dean Kukan | D | 29 | 1993-07-08 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jayson Megna | C/RW | 33 | 1990-02-01 | No | 195 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Joseph Cramarossa | C | 30 | 1992-10-26 | No | 190 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Keaton Thompson | D | 27 | 1995-09-14 | No | 182 Lbs | 6 ft0 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Malcolm Subban | G | 29 | 1993-12-21 | No | 215 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Pierre-Cedric Labrie | LW | 36 | 1986-12-06 | No | 226 Lbs | 6 ft3 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link | |
Richard Panik | LW/RW | 32 | 1991-02-07 | No | 203 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Sean Malone | C | 27 | 1995-04-30 | No | 197 Lbs | 6 ft0 | No | No | No | 4 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Seth Helgeson | D | 32 | 1990-10-08 | No | 219 Lbs | 6 ft4 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Stefan Matteau | C | 29 | 1994-02-23 | No | 208 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Troy Grosenick | G | 33 | 1989-08-27 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
Tyrell Goulbourne | LW | 29 | 1994-01-26 | No | 203 Lbs | 5 ft11 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 30.31 | 198 Lbs | 6 ft1 | 1.88 | 474,104$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Ashton Sautner | 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 |
Joseph Cramarossa, , Tyrell Goulbourne | Joseph Cramarossa, | Tyrell Goulbourne |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Ashton Sautner, | Ashton Sautner, |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , , , , , , , , , |
Custom OT Lines Defensemen |
---|
, , , , |
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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
72 | 19 | L2 | 141 | 273 | 414 | 1880 | 3287 | 919 | 588 | 1326 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
72 | 7 | 62 | 2 | 0 | 0 | 1 | 141 | 423 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 5 | 29 | 1 | 0 | 0 | 1 | 75 | 210 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 2 | 33 | 1 | 0 | 0 | 0 | 66 | 213 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 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 |
---|---|---|---|---|---|---|
255 | 34 | 13.33% | 256 | 73 | 71.48% | 1 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
682 | 558 | 630 | 13 | 57 | 45 | 37 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
574 | 1753 | 32.74% | 743 | 2503 | 29.68% | 360 | 1169 | 30.80% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1108 | 742 | 2454 | 518 | 768 | 307 |
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 - 2022-09-28 | 1 | Marlies | 1 | Stars | 5 | L | BoxScore | |||
3 - 2022-09-30 | 20 | Marlies | 1 | Barracuda | 3 | L | BoxScore | |||
4 - 2022-10-01 | 29 | Comets | 8 | Marlies | 0 | L | BoxScore | |||
8 - 2022-10-05 | 56 | Sound Tigers | 4 | Marlies | 1 | L | BoxScore | |||
12 - 2022-10-09 | 80 | IceHogs | 3 | Marlies | 6 | W | BoxScore | |||
15 - 2022-10-12 | 100 | Americans | 5 | Marlies | 1 | L | BoxScore | |||
17 - 2022-10-14 | 116 | Marlies | 1 | Bruins | 8 | L | BoxScore | |||
18 - 2022-10-15 | 128 | Marlies | 3 | Checkers | 7 | L | BoxScore | |||
20 - 2022-10-17 | 142 | Marlies | 2 | Stars | 6 | L | BoxScore | |||
21 - 2022-10-18 | 154 | Phantoms | 6 | Marlies | 2 | L | BoxScore | |||
24 - 2022-10-21 | 175 | Rocket | 5 | Marlies | 2 | L | BoxScore | |||
27 - 2022-10-24 | 193 | Roadrunners | 5 | Marlies | 6 | W | BoxScore | |||
29 - 2022-10-26 | 212 | Marlies | 0 | Comets | 8 | L | BoxScore | |||
31 - 2022-10-28 | 225 | Comets | 6 | Marlies | 4 | L | BoxScore | |||
33 - 2022-10-30 | 236 | Marlies | 1 | Thunderbirds | 8 | L | BoxScore | |||
35 - 2022-11-01 | 256 | Americans | 9 | Marlies | 2 | L | BoxScore | |||
38 - 2022-11-04 | 274 | Marlies | 1 | Wolf Pack | 8 | L | BoxScore | |||
40 - 2022-11-06 | 289 | Marlies | 3 | Roadrunners | 4 | L | BoxScore | |||
42 - 2022-11-08 | 301 | Devils | 4 | Marlies | 1 | L | BoxScore | |||
44 - 2022-11-10 | 319 | Marlies | 0 | Wranglers | 8 | L | BoxScore | |||
45 - 2022-11-11 | 329 | Marlies | 2 | Penguins | 7 | L | BoxScore | |||
47 - 2022-11-13 | 343 | Crunch | 11 | Marlies | 2 | L | BoxScore | |||
50 - 2022-11-16 | 365 | Rampage | 8 | Marlies | 1 | L | BoxScore | |||
52 - 2022-11-18 | 379 | Marlies | 2 | Devils | 8 | L | BoxScore | |||
54 - 2022-11-20 | 394 | Wolf Pack | 7 | Marlies | 1 | L | BoxScore | |||
56 - 2022-11-22 | 410 | Marlies | 0 | Americans | 3 | L | BoxScore | |||
58 - 2022-11-24 | 420 | Marlies | 1 | Phantoms | 6 | L | BoxScore | |||
60 - 2022-11-26 | 431 | Marlies | 5 | Reign | 4 | W | BoxScore | |||
62 - 2022-11-28 | 446 | Gulls | 3 | Marlies | 4 | W | X | BoxScore | ||
64 - 2022-11-30 | 465 | Wranglers | 5 | Marlies | 2 | L | BoxScore | |||
66 - 2022-12-02 | 477 | Marlies | 0 | Wild | 8 | L | BoxScore | |||
68 - 2022-12-04 | 492 | Marlies | 0 | Monsters | 4 | L | BoxScore | |||
70 - 2022-12-06 | 507 | Firebirds | 4 | Marlies | 6 | W | BoxScore | |||
72 - 2022-12-08 | 525 | Marlies | 5 | Admirals | 4 | W | X | BoxScore | ||
74 - 2022-12-10 | 538 | Admirals | 6 | Marlies | 4 | L | BoxScore | |||
78 - 2022-12-14 | 561 | Eagles | 7 | Marlies | 0 | L | BoxScore | |||
80 - 2022-12-16 | 578 | Marlies | 1 | Moose | 5 | L | BoxScore | |||
82 - 2022-12-18 | 592 | Sound Tigers | 6 | Marlies | 0 | L | BoxScore | |||
84 - 2022-12-20 | 614 | Marlies | 0 | Checkers | 3 | L | BoxScore | |||
86 - 2022-12-22 | 626 | Marlies | 4 | Crunch | 5 | L | BoxScore | |||
87 - 2022-12-23 | 639 | Roadrunners | 5 | Marlies | 4 | L | X | X | BoxScore | |
89 - 2022-12-25 | 654 | Marlies | 5 | Gulls | 2 | W | BoxScore | |||
92 - 2022-12-28 | 669 | Bruins | 5 | Marlies | 1 | L | BoxScore | |||
94 - 2022-12-30 | 688 | Marlies | 2 | Eagles | 8 | L | BoxScore | |||
96 - 2023-01-01 | 701 | Wild | 7 | Marlies | 0 | L | BoxScore | |||
98 - 2023-01-03 | 721 | Barracuda | 7 | Marlies | 1 | L | BoxScore | |||
100 - 2023-01-05 | 732 | Marlies | 3 | Barracuda | 5 | L | BoxScore | |||
102 - 2023-01-07 | 747 | Marlies | 3 | Bears | 5 | L | BoxScore | |||
104 - 2023-01-09 | 763 | Bears | 8 | Marlies | 3 | L | BoxScore | |||
106 - 2023-01-11 | 777 | Marlies | 0 | Stars | 3 | L | BoxScore | |||
108 - 2023-01-13 | 791 | Moose | 6 | Marlies | 3 | L | BoxScore | |||
111 - 2023-01-16 | 816 | IceHogs | 4 | Marlies | 2 | L | BoxScore | |||
113 - 2023-01-18 | 827 | Marlies | 0 | Senators | 7 | L | BoxScore | |||
116 - 2023-01-21 | 848 | Marlies | 1 | Bruins | 7 | L | BoxScore | |||
117 - 2023-01-22 | 857 | Wolves | 10 | Marlies | 1 | L | BoxScore | |||
120 - 2023-01-25 | 878 | Senators | 6 | Marlies | 0 | L | BoxScore | |||
122 - 2023-01-27 | 892 | Marlies | 3 | Sound Tigers | 7 | L | BoxScore | |||
124 - 2023-01-29 | 911 | Penguins | 4 | Marlies | 1 | L | BoxScore | |||
126 - 2023-01-31 | 925 | Marlies | 1 | Rampage | 10 | L | BoxScore | |||
129 - 2023-02-03 | 946 | Condors | 6 | Marlies | 4 | L | BoxScore | |||
130 - 2023-02-04 | 957 | Marlies | 2 | Condors | 3 | L | BoxScore | |||
133 - 2023-02-07 | 975 | Monsters | 8 | Marlies | 0 | L | BoxScore | |||
135 - 2023-02-09 | 988 | Marlies | 2 | Rocket | 5 | L | BoxScore | |||
137 - 2023-02-11 | 1008 | Stars | 8 | Marlies | 0 | L | BoxScore | |||
138 - 2023-02-12 | 1019 | Marlies | 4 | IceHogs | 6 | L | BoxScore | |||
141 - 2023-02-15 | 1036 | Marlies | 0 | Griffins | 9 | L | BoxScore | |||
143 - 2023-02-17 | 1050 | Thunderbirds | 5 | Marlies | 7 | W | BoxScore | |||
144 - 2023-02-18 | 1057 | Marlies | 4 | Firebirds | 5 | L | BoxScore | |||
149 - 2023-02-23 | 1084 | Checkers | 3 | Marlies | 0 | L | BoxScore | |||
152 - 2023-02-26 | 1109 | Reign | 2 | Marlies | 3 | W | BoxScore | |||
155 - 2023-03-01 | 1124 | Marlies | 3 | Wolves | 9 | L | BoxScore | |||
158 - 2023-03-04 | 1140 | Griffins | 4 | Marlies | 0 | L | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 68,327 | 34,206 |
Attendance PCT | 94.90% | 95.02% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2848 - 94.94% | 71,000$ | 2,555,990$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
179,853$ | 75,857$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 79,810$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 1,092$ | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 82 | 9 | 68 | 0 | 2 | 2 | 0 | 1 | 170 | 454 | -284 | 41 | 6 | 32 | 0 | 0 | 2 | 0 | 1 | 91 | 224 | -133 | 41 | 3 | 36 | 0 | 2 | 0 | 0 | 0 | 79 | 230 | -151 | 25 | 170 | 331 | 501 | 1 | 0 | 0 | 66 | 56 | 46 | 2056 | 0 | 706 | 670 | 665 | 3666 | 1018 | 775 | 1475 | 392 | 47 | 11.99% | 321 | 102 | 68.22% | 2 | 686 | 1998 | 34.33% | 901 | 2849 | 31.63% | 399 | 1355 | 29.45% | 1241 | 824 | 2800 | 620 | 894 | 352 |
13 | 76 | 4 | 68 | 0 | 1 | 3 | 0 | 0 | 118 | 417 | -299 | 38 | 1 | 36 | 0 | 0 | 1 | 0 | 0 | 60 | 210 | -150 | 38 | 3 | 32 | 0 | 1 | 2 | 0 | 0 | 58 | 207 | -149 | 13 | 118 | 230 | 348 | 0 | 0 | 0 | 46 | 35 | 36 | 1763 | 0 | 580 | 601 | 579 | 3257 | 875 | 646 | 1275 | 323 | 30 | 9.29% | 261 | 71 | 72.80% | 1 | 527 | 1803 | 29.23% | 702 | 2546 | 27.57% | 326 | 1211 | 26.92% | 1050 | 685 | 2692 | 580 | 827 | 303 |
14 | 76 | 4 | 69 | 0 | 0 | 2 | 1 | 0 | 123 | 440 | -317 | 38 | 2 | 33 | 0 | 0 | 2 | 1 | 0 | 60 | 216 | -156 | 38 | 2 | 36 | 0 | 0 | 0 | 0 | 0 | 63 | 224 | -161 | 12 | 123 | 234 | 357 | 0 | 0 | 0 | 47 | 41 | 34 | 1643 | 0 | 544 | 519 | 576 | 3644 | 1020 | 713 | 1260 | 277 | 24 | 8.66% | 303 | 74 | 75.58% | 4 | 415 | 1718 | 24.16% | 676 | 2732 | 24.74% | 310 | 1205 | 25.73% | 991 | 636 | 2786 | 561 | 791 | 289 |
15 | 82 | 32 | 31 | 0 | 6 | 6 | 2 | 5 | 200 | 180 | 20 | 41 | 16 | 14 | 0 | 4 | 3 | 2 | 2 | 110 | 93 | 17 | 41 | 16 | 17 | 0 | 2 | 3 | 0 | 3 | 90 | 87 | 3 | 91 | 200 | 344 | 544 | 3 | 10 | 0 | 79 | 61 | 52 | 2102 | 0 | 679 | 704 | 683 | 2258 | 656 | 1189 | 1618 | 386 | 62 | 16.06% | 465 | 57 | 87.74% | 2 | 1152 | 2444 | 47.14% | 1147 | 2662 | 43.09% | 553 | 1151 | 48.05% | 2005 | 1416 | 2016 | 580 | 959 | 478 |
16 | 82 | 21 | 48 | 0 | 2 | 4 | 4 | 3 | 164 | 253 | -89 | 41 | 16 | 18 | 0 | 1 | 3 | 1 | 2 | 100 | 121 | -21 | 41 | 5 | 30 | 0 | 1 | 1 | 3 | 1 | 64 | 132 | -68 | 61 | 164 | 262 | 426 | 2 | 4 | 0 | 65 | 53 | 40 | 1858 | 0 | 601 | 621 | 614 | 2791 | 792 | 942 | 1665 | 362 | 64 | 17.68% | 374 | 69 | 81.55% | 0 | 659 | 2101 | 31.37% | 889 | 2953 | 30.10% | 357 | 1137 | 31.40% | 1663 | 1155 | 2399 | 579 | 903 | 416 |
17 | 72 | 7 | 62 | 0 | 2 | 0 | 0 | 1 | 141 | 423 | -282 | 36 | 5 | 29 | 0 | 1 | 0 | 0 | 1 | 75 | 210 | -135 | 36 | 2 | 33 | 0 | 1 | 0 | 0 | 0 | 66 | 213 | -147 | 19 | 141 | 273 | 414 | 1 | 0 | 57 | 45 | 37 | 2 | 1880 | 682 | 558 | 630 | 13 | 3287 | 919 | 588 | 1326 | 255 | 34 | 13.33% | 256 | 73 | 71.48% | 1 | 574 | 1753 | 32.74% | 743 | 2503 | 29.68% | 360 | 1169 | 30.80% | 1108 | 742 | 2454 | 518 | 768 | 307 |
Total Regular Season | 470 | 77 | 346 | 0 | 13 | 17 | 7 | 10 | 916 | 2167 | -1251 | 235 | 46 | 162 | 0 | 6 | 11 | 4 | 6 | 496 | 1074 | -578 | 235 | 31 | 184 | 0 | 7 | 6 | 3 | 4 | 420 | 1093 | -673 | 221 | 916 | 1674 | 2590 | 7 | 14 | 57 | 348 | 283 | 210 | 11302 | 682 | 3668 | 3745 | 3130 | 18903 | 5280 | 4853 | 8619 | 1995 | 261 | 13.08% | 1980 | 446 | 77.47% | 10 | 4013 | 11817 | 33.96% | 5058 | 16245 | 31.14% | 2305 | 7228 | 31.89% | 8061 | 5462 | 15149 | 3440 | 5145 | 2149 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator