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 | Chase DeLeo | 0 | X | X | 100.00 | 73 | 36 | 89 | 66 | 66 | 89 | 74 | 65 | 69 | 64 | 63 | 60 | 66 | 69 | 68 | 51 | 50 | 64 | 0 | |||
2 | Brett Seney | 0 | X | X | 100.00 | 68 | 37 | 70 | 65 | 61 | 90 | 84 | 66 | 67 | 63 | 64 | 61 | 65 | 68 | 67 | 42 | 50 | 64 | 0 | |||
3 | Charles Hudon | 0 | X | X | X | 100.00 | 69 | 37 | 78 | 65 | 68 | 89 | 85 | 66 | 67 | 60 | 64 | 59 | 67 | 69 | 71 | 47 | 50 | 64 | 0 | ||
4 | Joseph Cramarossa | 0 | X | 100.00 | 71 | 46 | 62 | 65 | 75 | 76 | 73 | 63 | 65 | 62 | 64 | 60 | 65 | 71 | 73 | 52 | 50 | 63 | 0 | ||||
5 | Sean Malone | 0 | X | 100.00 | 65 | 40 | 79 | 62 | 74 | 82 | 77 | 63 | 69 | 61 | 63 | 59 | 62 | 68 | 70 | 41 | 50 | 63 | 0 | ||||
6 | Danny O'Regan | 0 | X | X | 100.00 | 57 | 35 | 91 | 64 | 66 | 84 | 83 | 62 | 70 | 65 | 58 | 61 | 60 | 69 | 71 | 46 | 50 | 63 | 0 | |||
7 | Dylan Sikura | 0 | X | X | X | 100.00 | 57 | 35 | 93 | 63 | 66 | 89 | 85 | 62 | 63 | 64 | 58 | 61 | 60 | 68 | 70 | 41 | 50 | 63 | 0 | ||
8 | Clark Bishop | 0 | X | X | 100.00 | 68 | 40 | 73 | 60 | 77 | 74 | 80 | 58 | 72 | 59 | 55 | 57 | 61 | 67 | 69 | 49 | 50 | 60 | 0 | |||
9 | Pierre-Cedric Labrie | 0 | X | 100.00 | 80 | 67 | 68 | 53 | 89 | 68 | 74 | 52 | 54 | 53 | 52 | 58 | 52 | 77 | 79 | 20 | 50 | 59 | 0 | ||||
10 | Tyrell Goulbourne | 0 | X | 100.00 | 64 | 41 | 72 | 53 | 73 | 68 | 66 | 52 | 55 | 53 | 54 | 52 | 55 | 69 | 71 | 53 | 50 | 56 | 0 | ||||
11 | Seth Helgeson | 0 | X | 100.00 | 81 | 46 | 64 | 54 | 90 | 63 | 86 | 52 | 30 | 53 | 52 | 58 | 45 | 73 | 78 | 35 | 50 | 62 | 0 | ||||
12 | Mitch Reinke | 0 | X | 100.00 | 60 | 36 | 95 | 59 | 69 | 70 | 81 | 58 | 30 | 65 | 52 | 56 | 47 | 67 | 69 | 37 | 50 | 60 | 0 | ||||
13 | Ashton Sautner | 0 | X | 100.00 | 67 | 40 | 77 | 54 | 76 | 70 | 80 | 53 | 30 | 55 | 53 | 54 | 45 | 69 | 71 | 36 | 50 | 59 | 0 | ||||
14 | Keaton Thompson | 0 | X | 100.00 | 62 | 38 | 82 | 56 | 71 | 65 | 72 | 53 | 30 | 55 | 54 | 52 | 46 | 68 | 70 | 53 | 50 | 57 | 0 | ||||
Scratches | |||||||||||||||||||||||||||
1 | Anthony Bitetto | 0 | X | 100.00 | 70 | 43 | 68 | 55 | 79 | 69 | 83 | 54 | 30 | 55 | 54 | 56 | 46 | 73 | 75 | 29 | 50 | 61 | 0 | ||||
TEAM AVERAGE | 100.00 | 67 | 41 | 77 | 60 | 73 | 76 | 79 | 59 | 53 | 59 | 57 | 58 | 56 | 70 | 71 | 42 | 50 | 61 |
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 | 65 | 67 | 83 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 71 | 84 | 65 | 50 | 72 | 0 | |
2 | Troy Grosenick | 100.00 | 71 | 58 | 59 | 74 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 74 | 88 | 23 | 50 | 69 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 62 | 63 | 79 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 73 | 86 | 44 | 50 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Greg Cronin | 69 | 70 | 70 | 66 | 91 | 85 | 58 | USA | 59 | 9 | 1,000,000$ |
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 | Luke Glendening | Toronto Leafs | C | 23 | 10 | 24 | 34 | 21 | 6 | 0 | 34 | 88 | 114 | 33 | 98 | 8.77% | 13 | 512 | 22.27 | 3 | 7 | 10 | 22 | 70 | 1 | 1 | 2 | 9 | 125 | 2 | 0 | 79.35% | 707 | 0 | 0 | 0 | 0 | 1.33 | 0 | 2 | 0 | 0 | 0 | 1 | 6 | 2 |
Team Total or Average | 23 | 10 | 24 | 34 | 21 | 6 | 0 | 34 | 88 | 114 | 33 | 98 | 8.77% | 13 | 512 | 22.27 | 3 | 7 | 10 | 22 | 70 | 1 | 1 | 2 | 9 | 125 | 2 | 0 | 79.35% | 707 | 0 | 0 | 0 | 0 | 1.33 | 0 | 2 | 0 | 0 | 0 | 1 | 6 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Bitetto | D | 33 | 1990-07-15 | No | 210 Lbs | 6 ft1 | No | No | No | 3 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Ashton Sautner | D | 29 | 1994-05-27 | No | 195 Lbs | 6 ft1 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Brett Seney | C/LW | 28 | 1996-02-28 | No | 156 Lbs | 5 ft9 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Charles Hudon | C/LW/RW | 29 | 1994-06-23 | No | 190 Lbs | 5 ft10 | No | No | No | 3 | UFA | Pro & Farm | 785,662$ | 0$ | 0$ | No | Link / NHL Link | |
Chase DeLeo | C/LW | 28 | 1995-10-25 | No | 185 Lbs | 5 ft9 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Clark Bishop | C/LW | 28 | 1996-03-29 | No | 197 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Danny O'Regan | C/LW | 30 | 1994-01-30 | No | 180 Lbs | 5 ft10 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Dylan Sikura | C/LW/RW | 28 | 1995-06-01 | No | 170 Lbs | 5 ft11 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Joseph Cramarossa | C | 31 | 1992-10-26 | No | 190 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Keaton Thompson | D | 28 | 1995-09-14 | No | 182 Lbs | 6 ft0 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Malcolm Subban | G | 30 | 1993-12-21 | No | 215 Lbs | 6 ft2 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Mitch Reinke | D | 28 | 1996-02-04 | No | 181 Lbs | 5 ft11 | No | No | No | 2 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Pierre-Cedric Labrie | LW | 37 | 1986-12-06 | No | 226 Lbs | 6 ft3 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Sean Malone | C | 28 | 1995-04-30 | No | 197 Lbs | 6 ft0 | No | No | No | 3 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Seth Helgeson | D | 33 | 1990-10-08 | No | 219 Lbs | 6 ft4 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Troy Grosenick | G | 34 | 1989-08-27 | No | 185 Lbs | 6 ft1 | No | No | No | 4 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Tyrell Goulbourne | LW | 30 | 1994-01-26 | No | 203 Lbs | 5 ft11 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 30.12 | 193 Lbs | 6 ft0 | 2.29 | 457,980$ |
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 | 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 |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
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 |
70 | 18 | L2 | 152 | 294 | 446 | 1875 | 3442 | 969 | 552 | 1322 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
70 | 8 | 61 | 1 | 0 | 0 | 0 | 152 | 416 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
34 | 6 | 28 | 0 | 0 | 0 | 0 | 74 | 189 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
36 | 2 | 33 | 1 | 0 | 0 | 0 | 78 | 227 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 9 | 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 |
---|---|---|---|---|---|---|
278 | 34 | 12.23% | 234 | 66 | 71.79% | 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 |
---|---|---|---|---|---|---|---|
609 | 618 | 647 | 1 | 56 | 45 | 50 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
585 | 1730 | 33.82% | 727 | 2526 | 28.78% | 317 | 1129 | 28.08% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
1069 | 723 | 2389 | 507 | 741 | 293 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
5 - 2023-08-14 | 14 | Americans | 8 | Marlies | 1 | L | BoxScore | |||
6 - 2023-08-15 | 28 | Comets | 5 | Marlies | 1 | L | BoxScore | |||
12 - 2023-08-21 | 44 | Checkers | 3 | Marlies | 5 | W | BoxScore | |||
13 - 2023-08-22 | 61 | Checkers | 5 | Marlies | 6 | W | BoxScore | |||
15 - 2023-08-24 | 64 | Admirals | 4 | Marlies | 6 | W | BoxScore | |||
18 - 2023-08-27 | 78 | Marlies | 2 | Senators | 9 | L | BoxScore | |||
19 - 2023-08-28 | 91 | Marlies | 1 | Senators | 6 | L | BoxScore | |||
25 - 2023-09-03 | 115 | Marlies | 1 | Rocket | 5 | L | BoxScore | |||
26 - 2023-09-04 | 130 | Marlies | 1 | Rocket | 7 | L | BoxScore | |||
30 - 2023-09-08 | 144 | Marlies | 0 | Admirals | 6 | L | BoxScore | |||
32 - 2023-09-10 | 154 | Marlies | 1 | Griffins | 8 | L | BoxScore | |||
33 - 2023-09-11 | 167 | Marlies | 0 | Griffins | 10 | L | BoxScore | |||
40 - 2023-09-18 | 205 | Moose | 4 | Marlies | 1 | L | BoxScore | |||
41 - 2023-09-19 | 219 | Moose | 8 | Marlies | 1 | L | BoxScore | |||
43 - 2023-09-21 | 224 | Phantoms | 3 | Marlies | 1 | L | BoxScore | |||
46 - 2023-09-24 | 240 | Marlies | 0 | Monsters | 3 | L | BoxScore | |||
48 - 2023-09-26 | 266 | Monsters | 6 | Marlies | 1 | L | BoxScore | |||
53 - 2023-10-01 | 278 | Marlies | 3 | Crunch | 5 | L | BoxScore | |||
54 - 2023-10-02 | 290 | Crunch | 3 | Marlies | 5 | W | BoxScore | |||
57 - 2023-10-05 | 309 | Griffins | 8 | Marlies | 0 | L | BoxScore | |||
62 - 2023-10-10 | 346 | Griffins | 7 | Marlies | 1 | L | BoxScore | |||
67 - 2023-10-15 | 363 | Marlies | 5 | Bruins | 10 | L | BoxScore | |||
69 - 2023-10-17 | 381 | Marlies | 0 | Wolfpack | 6 | L | BoxScore | |||
72 - 2023-10-20 | 390 | Bruins | 4 | Marlies | 1 | L | BoxScore | |||
74 - 2023-10-22 | 405 | Marlies | 1 | Senators | 8 | L | BoxScore | |||
78 - 2023-10-26 | 425 | Senators | 7 | Marlies | 2 | L | BoxScore | |||
79 - 2023-10-27 | 428 | Marlies | 3 | Monsters | 7 | L | BoxScore | |||
82 - 2023-10-30 | 451 | Senators | 5 | Marlies | 2 | L | BoxScore | |||
86 - 2023-11-03 | 471 | Monsters | 2 | Marlies | 3 | W | BoxScore | |||
89 - 2023-11-06 | 488 | Crunch | 4 | Marlies | 3 | L | BoxScore | |||
90 - 2023-11-07 | 508 | Crunch | 6 | Marlies | 5 | L | BoxScore | |||
95 - 2023-11-12 | 519 | Senators | 10 | Marlies | 3 | L | BoxScore | |||
97 - 2023-11-14 | 545 | Marlies | 2 | Senators | 9 | L | BoxScore | |||
103 - 2023-11-20 | 575 | Marlies | 6 | Checkers | 5 | W | X | BoxScore | ||
104 - 2023-11-21 | 589 | Marlies | 4 | Checkers | 5 | L | BoxScore | |||
107 - 2023-11-24 | 599 | Marlies | 3 | Monsters | 5 | L | BoxScore | |||
110 - 2023-11-27 | 629 | Marlies | 2 | Phantoms | 8 | L | BoxScore | |||
111 - 2023-11-28 | 640 | Marlies | 4 | Bears | 3 | W | BoxScore | |||
114 - 2023-12-01 | 648 | Marlies | 1 | Penguins | 6 | L | BoxScore | |||
116 - 2023-12-03 | 657 | Marlies | 1 | Comets | 3 | L | BoxScore | |||
117 - 2023-12-04 | 670 | Marlies | 2 | Comets | 7 | L | BoxScore | |||
123 - 2023-12-10 | 685 | Rocket | 4 | Marlies | 0 | L | BoxScore | |||
124 - 2023-12-11 | 697 | Rocket | 2 | Marlies | 1 | L | BoxScore | |||
128 - 2023-12-15 | 717 | Penguins | 7 | Marlies | 1 | L | BoxScore | |||
130 - 2023-12-17 | 726 | Marlies | 3 | Senators | 7 | L | BoxScore | |||
131 - 2023-12-18 | 735 | Bears | 4 | Marlies | 2 | L | BoxScore | |||
133 - 2023-12-20 | 755 | Americans | 5 | Marlies | 0 | L | BoxScore | |||
137 - 2023-12-24 | 772 | Marlies | 2 | Rocket | 8 | L | BoxScore | |||
138 - 2023-12-25 | 782 | Marlies | 1 | Rocket | 4 | L | BoxScore | |||
142 - 2023-12-29 | 808 | Marlies | 2 | Monsters | 7 | L | BoxScore | |||
144 - 2023-12-31 | 817 | Marlies | 4 | Crunch | 5 | L | BoxScore | |||
145 - 2024-01-01 | 831 | Crunch | 4 | Marlies | 5 | W | BoxScore | |||
149 - 2024-01-05 | 850 | Senators | 6 | Marlies | 3 | L | BoxScore | |||
151 - 2024-01-07 | 859 | Marlies | 2 | Comets | 6 | L | BoxScore | |||
152 - 2024-01-08 | 878 | Marlies | 1 | Thunderbirds | 7 | L | BoxScore | |||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
158 - 2024-01-14 | 910 | Marlies | 3 | Americans | 9 | L | BoxScore | |||
159 - 2024-01-15 | 915 | Americans | 9 | Marlies | 2 | L | BoxScore | |||
160 - 2024-01-16 | 931 | Rocket | 8 | Marlies | 2 | L | BoxScore | |||
165 - 2024-01-21 | 955 | Marlies | 1 | Americans | 7 | L | BoxScore | |||
166 - 2024-01-22 | 961 | Wolfpack | 8 | Marlies | 0 | L | BoxScore | |||
167 - 2024-01-23 | 978 | Rocket | 4 | Marlies | 1 | L | BoxScore | |||
170 - 2024-01-26 | 990 | Marlies | 4 | Moose | 6 | L | BoxScore | |||
172 - 2024-01-28 | 994 | Marlies | 3 | Moose | 4 | L | BoxScore | |||
177 - 2024-02-02 | 1027 | Thunderbirds | 5 | Marlies | 2 | L | BoxScore | |||
180 - 2024-02-05 | 1047 | Comets | 6 | Marlies | 3 | L | BoxScore | |||
181 - 2024-02-06 | 1064 | Comets | 8 | Marlies | 1 | L | BoxScore | |||
184 - 2024-02-09 | 1070 | Senators | 7 | Marlies | 3 | L | BoxScore | |||
186 - 2024-02-11 | 1078 | Marlies | 6 | Crunch | 4 | W | BoxScore | |||
187 - 2024-02-12 | 1093 | Marlies | 2 | Crunch | 4 | L | BoxScore | |||
191 - 2024-02-16 | 1112 | Marlies | 1 | Americans | 8 | L | BoxScore | |||
194 - 2024-02-19 | 1130 | Monsters | - | Marlies | - | |||||
195 - 2024-02-20 | 1148 | Monsters | - | Marlies | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 63,965 | 32,023 |
Attendance PCT | 94.07% | 94.19% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
2 | 2823 - 94.11% | 70,377$ | 2,392,824$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
1,058,736$ | 77,857$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 79,288$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
140,754$ | 4 | 5,527$ | 22,108$ |
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 |
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 |
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 |
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 |
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 |
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 | 0 | 57 | 45 | 37 | 1880 | 0 | 682 | 558 | 630 | 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 |
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 | 0 | 57 | 45 | 37 | 1880 | 0 | 682 | 558 | 630 | 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 |
18 | 70 | 8 | 61 | 0 | 1 | 0 | 0 | 0 | 152 | 416 | -264 | 34 | 6 | 28 | 0 | 0 | 0 | 0 | 0 | 74 | 189 | -115 | 36 | 2 | 33 | 0 | 1 | 0 | 0 | 0 | 78 | 227 | -149 | 18 | 152 | 294 | 446 | 1 | 0 | 56 | 45 | 50 | 1 | 1875 | 609 | 618 | 647 | 1 | 3442 | 969 | 552 | 1322 | 278 | 34 | 12.23% | 234 | 66 | 71.79% | 1 | 585 | 1730 | 33.82% | 727 | 2526 | 28.78% | 317 | 1129 | 28.08% | 1069 | 723 | 2389 | 507 | 741 | 293 |
Total Regular Season | 1010 | 162 | 753 | 0 | 27 | 34 | 14 | 20 | 1984 | 4750 | -2766 | 504 | 98 | 352 | 0 | 12 | 22 | 8 | 12 | 1066 | 2337 | -1271 | 506 | 64 | 401 | 0 | 15 | 12 | 6 | 8 | 918 | 2413 | -1495 | 460 | 1984 | 3642 | 5626 | 15 | 28 | 56 | 765 | 632 | 491 | 24479 | 609 | 8202 | 7993 | 7495 | 41248 | 11529 | 10258 | 18560 | 4268 | 556 | 13.03% | 4194 | 958 | 77.16% | 21 | 8611 | 25364 | 33.95% | 10843 | 35016 | 30.97% | 4927 | 15585 | 31.61% | 17193 | 11648 | 32688 | 7387 | 11031 | 4592 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator