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 | Ryan Carpenter | 0 | X | 100.00 | 77 | 41 | 83 | 66 | 77 | 79 | 86 | 63 | 82 | 64 | 65 | 74 | 62 | 74 | 75 | 27 | 50 | 67 | 0 | ||||
2 | Cole Schneider | 0 | X | X | 100.00 | 71 | 38 | 94 | 65 | 80 | 88 | 87 | 64 | 67 | 62 | 65 | 61 | 63 | 73 | 78 | 26 | 50 | 66 | 0 | |||
3 | Zac Dalpe | 0 | X | X | 100.00 | 70 | 38 | 84 | 66 | 80 | 86 | 84 | 63 | 76 | 61 | 68 | 62 | 66 | 74 | 78 | 39 | 50 | 66 | 0 | |||
4 | Matt Martin | 0 | X | 100.00 | 90 | 85 | 73 | 63 | 87 | 78 | 89 | 62 | 55 | 60 | 59 | 61 | 57 | 84 | 75 | 29 | 50 | 65 | 0 | ||||
5 | Joel L'Esperance | 0 | X | 100.00 | 74 | 41 | 82 | 64 | 83 | 95 | 85 | 63 | 69 | 62 | 64 | 61 | 64 | 68 | 70 | 36 | 50 | 65 | 0 | ||||
6 | Jiri Kulich (R) | 0 | X | 100.00 | 56 | 36 | 91 | 69 | 66 | 91 | 71 | 67 | 63 | 61 | 66 | 64 | 67 | 59 | 61 | 82 | 50 | 64 | 0 | ||||
7 | William Bitten | 0 | X | 100.00 | 73 | 37 | 88 | 67 | 70 | 83 | 85 | 65 | 67 | 64 | 60 | 61 | 62 | 65 | 67 | 64 | 50 | 64 | 0 | ||||
8 | Shane Wright (R) | 0 | X | 100.00 | 62 | 37 | 92 | 66 | 73 | 77 | 61 | 63 | 70 | 62 | 67 | 64 | 65 | 59 | 61 | 91 | 50 | 63 | 0 | ||||
9 | Alex Goligoski | 0 | X | 100.00 | 61 | 33 | 87 | 65 | 67 | 89 | 82 | 63 | 30 | 75 | 56 | 74 | 50 | 89 | 79 | 28 | 50 | 69 | 0 | ||||
10 | Casey Fitzgerald | 0 | X | 100.00 | 75 | 46 | 73 | 64 | 70 | 85 | 77 | 63 | 30 | 66 | 50 | 67 | 48 | 65 | 66 | 60 | 50 | 65 | 0 | ||||
11 | Nick DeSimone | 0 | X | 100.00 | 65 | 39 | 84 | 63 | 77 | 81 | 86 | 62 | 30 | 64 | 58 | 65 | 49 | 69 | 71 | 36 | 50 | 65 | 0 | ||||
12 | Brandon Hickey | 0 | X | 100.00 | 72 | 40 | 87 | 52 | 81 | 61 | 67 | 51 | 30 | 52 | 53 | 55 | 45 | 67 | 69 | 56 | 50 | 58 | 0 | ||||
Scratches | |||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 71 | 43 | 85 | 64 | 76 | 83 | 80 | 62 | 56 | 63 | 61 | 64 | 58 | 71 | 71 | 48 | 50 | 65 |
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 | Ukko-Pekka Luukkonen | 100.00 | 79 | 90 | 87 | 93 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 64 | 71 | 68 | 50 | 77 | 0 | |
2 | Cayden Primeau | 100.00 | 75 | 74 | 73 | 80 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 58 | 50 | 72 | 0 | |
Scratches | ||||||||||||||||||||
1 | Dylan Ferguson | 100.00 | 74 | 61 | 62 | 79 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 65 | 73 | 57 | 50 | 70 | 0 | |
2 | Arvid Holm | 100.00 | 71 | 65 | 66 | 89 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 65 | 73 | 47 | 50 | 70 | 0 | |
3 | Dennis Hildeby | 100.00 | 57 | 55 | 56 | 91 | 56 | 55 | 57 | 56 | 55 | 57 | 56 | 62 | 67 | 59 | 50 | 60 | 0 | |
TEAM AVERAGE | 100.00 | 71 | 69 | 69 | 86 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 64 | 71 | 58 | 50 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 81 | 80 | 85 | 80 | 99 | 95 | 40 | CAN | 68 | 9 | 3,200,000$ |
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 | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Goligoski | D | 38 | 1985-07-30 | No | 173 Lbs | 5 ft11 | No | No | No | 3 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
Arvid Holm | G | 25 | 1998-11-03 | No | 213 Lbs | 6 ft4 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Brandon Hickey | D | 27 | 1996-04-13 | No | 201 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 499,999$ | 0$ | 0$ | No | Link / NHL Link | |
Casey Fitzgerald | D | 26 | 1997-02-25 | No | 188 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Cayden Primeau | G | 24 | 1999-08-11 | No | 199 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Cole Schneider | C/LW | 33 | 1990-08-26 | No | 199 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Dennis Hildeby | G | 22 | 2001-08-19 | No | 209 Lbs | 6 ft5 | No | No | No | 4 | ELC | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link | |
Dylan Ferguson | G | 25 | 1998-09-20 | No | 194 Lbs | 6 ft2 | No | No | No | 1 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Jiri Kulich | RW | 19 | 2004-04-14 | Yes | 172 Lbs | 5 ft10 | No | No | No | 1 | ELC | Pro & Farm | 0$ | 0$ | No | |||
Joel L'Esperance | C | 28 | 1995-08-18 | No | 215 Lbs | 6 ft2 | No | No | No | 4 | UFA | Pro & Farm | 499,999$ | 0$ | 0$ | No | Link / NHL Link | |
Matt Martin | LW | 34 | 1989-05-08 | No | 220 Lbs | 6 ft3 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Nick DeSimone | D | 29 | 1994-11-21 | No | 185 Lbs | 6 ft2 | No | No | No | 2 | UFA | Pro & Farm | 453,851$ | 0$ | 0$ | No | Link / NHL Link | |
Ryan Carpenter | C | 32 | 1991-01-18 | No | 198 Lbs | 6 ft1 | No | No | No | 3 | UFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
Shane Wright | C | 19 | 2004-01-05 | Yes | 192 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 0$ | 0$ | No | |||
Ukko-Pekka Luukkonen | G | 24 | 1999-03-09 | No | 217 Lbs | 6 ft5 | No | No | No | 3 | RFA | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Link / NHL Link | |
William Bitten | C | 25 | 1998-07-10 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link | |
Zac Dalpe | C/RW | 34 | 1989-11-01 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | 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 | 27.29 | 197 Lbs | 6 ft2 | 2.12 | 479,638$ |
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 |
19 | 6 | L6 | 54 | 107 | 161 | 587 | 1001 | 277 | 174 | 375 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 2 | 16 | 1 | 0 | 0 | 0 | 54 | 122 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
9 | 2 | 6 | 1 | 0 | 0 | 0 | 30 | 46 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 0 | 10 | 0 | 0 | 0 | 0 | 24 | 76 |
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 |
---|---|---|---|---|---|---|
53 | 3 | 5.66% | 75 | 24 | 68.00% | 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 |
---|---|---|---|---|---|---|---|
187 | 201 | 189 | 10 | 25 | 18 | 10 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
213 | 484 | 44.01% | 290 | 683 | 42.46% | 144 | 335 | 42.99% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
316 | 217 | 627 | 128 | 198 | 83 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
4 - 2023-08-13 | 8 | Roadrunners | 5 | Stars | 7 | L | BoxScore | |||
5 - 2023-08-14 | 24 | Roadrunners | 4 | Stars | 8 | L | BoxScore | |||
12 - 2023-08-21 | 57 | Firebirds | 5 | Roadrunners | 1 | L | BoxScore | |||
15 - 2023-08-24 | 63 | Gulls | 5 | Roadrunners | 4 | L | BoxScore | |||
18 - 2023-08-27 | 84 | Condors | 5 | Roadrunners | 6 | W | X | BoxScore | ||
19 - 2023-08-28 | 98 | Condors | 6 | Roadrunners | 2 | L | BoxScore | |||
25 - 2023-09-03 | 121 | Wolves | 4 | Roadrunners | 6 | W | BoxScore | |||
26 - 2023-09-04 | 136 | Wolves | 4 | Roadrunners | 2 | L | BoxScore | |||
30 - 2023-09-08 | 148 | Roadrunners | 2 | Reign | 6 | L | BoxScore | |||
32 - 2023-09-10 | 159 | Roadrunners | 1 | Reign | 9 | L | BoxScore | |||
34 - 2023-09-12 | 180 | Roadrunners | 1 | Firebirds | 9 | L | BoxScore | |||
39 - 2023-09-17 | 200 | Firebirds | 6 | Roadrunners | 3 | L | BoxScore | |||
40 - 2023-09-18 | 217 | Firebirds | 3 | Roadrunners | 5 | W | BoxScore | |||
43 - 2023-09-21 | 225 | Roadrunners | 5 | Wranglers | 7 | L | BoxScore | |||
44 - 2023-09-22 | 237 | Roadrunners | 3 | Wranglers | 6 | L | BoxScore | |||
47 - 2023-09-25 | 253 | Roadrunners | 0 | Silver Knights | 9 | L | BoxScore | |||
48 - 2023-09-26 | 268 | Roadrunners | 0 | Silver Knights | 9 | L | BoxScore | |||
50 - 2023-09-28 | 269 | Roadrunners | 3 | Reign | 6 | L | BoxScore | |||
53 - 2023-10-01 | 284 | Barracuda | 8 | Roadrunners | 1 | L | BoxScore | |||
54 - 2023-10-02 | 299 | Barracuda | - | Roadrunners | - | |||||
60 - 2023-10-08 | 326 | Roadrunners | - | Eagles | - | |||||
61 - 2023-10-09 | 341 | Roadrunners | - | Eagles | - | |||||
67 - 2023-10-15 | 367 | Canucks | - | Roadrunners | - | |||||
68 - 2023-10-16 | 379 | Canucks | - | Roadrunners | - | |||||
72 - 2023-10-20 | 396 | Roadrunners | - | Barracuda | - | |||||
74 - 2023-10-22 | 412 | Roadrunners | - | Condors | - | |||||
75 - 2023-10-23 | 422 | Roadrunners | - | Gulls | - | |||||
81 - 2023-10-29 | 448 | Firebirds | - | Roadrunners | - | |||||
82 - 2023-10-30 | 461 | Gulls | - | Roadrunners | - | |||||
86 - 2023-11-03 | 474 | Roadrunners | - | Barracuda | - | |||||
88 - 2023-11-05 | 481 | Roadrunners | - | Wolves | - | |||||
89 - 2023-11-06 | 496 | Roadrunners | - | Wolves | - | |||||
95 - 2023-11-12 | 530 | Roadrunners | - | Canucks | - | |||||
96 - 2023-11-13 | 544 | Roadrunners | - | Canucks | - | |||||
98 - 2023-11-15 | 551 | Wild | - | Roadrunners | - | |||||
100 - 2023-11-17 | 560 | Wild | - | Roadrunners | - | |||||
102 - 2023-11-19 | 572 | Silver Knights | - | Roadrunners | - | |||||
103 - 2023-11-20 | 585 | Silver Knights | - | Roadrunners | - | |||||
109 - 2023-11-26 | 618 | Reign | - | Roadrunners | - | |||||
110 - 2023-11-27 | 635 | Reign | - | Roadrunners | - | |||||
114 - 2023-12-01 | 650 | Roadrunners | - | Condors | - | |||||
116 - 2023-12-03 | 664 | Roadrunners | - | Gulls | - | |||||
117 - 2023-12-04 | 680 | Roadrunners | - | Firebirds | - | |||||
123 - 2023-12-10 | 693 | Roadrunners | - | Wild | - | |||||
124 - 2023-12-11 | 704 | Roadrunners | - | Wild | - | |||||
130 - 2023-12-17 | 732 | Reign | - | Roadrunners | - | |||||
131 - 2023-12-18 | 744 | Reign | - | Roadrunners | - | |||||
137 - 2023-12-24 | 778 | Condors | - | Roadrunners | - | |||||
138 - 2023-12-25 | 795 | Condors | - | Roadrunners | - | |||||
142 - 2023-12-29 | 813 | Roadrunners | - | Condors | - | |||||
144 - 2023-12-31 | 828 | Roadrunners | - | Silver Knights | - | |||||
145 - 2024-01-01 | 840 | Roadrunners | - | Silver Knights | - | |||||
148 - 2024-01-04 | 849 | Wranglers | - | Roadrunners | - | |||||
149 - 2024-01-05 | 853 | Wranglers | - | Roadrunners | - | |||||
152 - 2024-01-08 | 882 | Roadrunners | - | Firebirds | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
155 - 2024-01-11 | 893 | Silver Knights | - | Roadrunners | - | |||||
156 - 2024-01-12 | 902 | Silver Knights | - | Roadrunners | - | |||||
159 - 2024-01-15 | 927 | Stars | - | Roadrunners | - | |||||
160 - 2024-01-16 | 935 | Stars | - | Roadrunners | - | |||||
163 - 2024-01-19 | 948 | Roadrunners | - | Reign | - | |||||
166 - 2024-01-22 | 962 | Roadrunners | - | Barracuda | - | |||||
167 - 2024-01-23 | 981 | Roadrunners | - | Barracuda | - | |||||
172 - 2024-01-28 | 1005 | Gulls | - | Roadrunners | - | |||||
173 - 2024-01-29 | 1019 | Gulls | - | Roadrunners | - | |||||
177 - 2024-02-02 | 1032 | Roadrunners | - | Condors | - | |||||
180 - 2024-02-05 | 1057 | Roadrunners | - | Gulls | - | |||||
181 - 2024-02-06 | 1068 | Roadrunners | - | Gulls | - | |||||
186 - 2024-02-11 | 1087 | Eagles | - | Roadrunners | - | |||||
187 - 2024-02-12 | 1100 | Eagles | - | Roadrunners | - | |||||
191 - 2024-02-16 | 1117 | Roadrunners | - | Firebirds | - | |||||
193 - 2024-02-18 | 1127 | Barracuda | - | Roadrunners | - | |||||
194 - 2024-02-19 | 1143 | Barracuda | - | Roadrunners | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 17,029 | 8,614 |
Attendance PCT | 94.61% | 95.71% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
27 | 2849 - 94.97% | 70,911$ | 638,198$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
891,884$ | 81,539$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 22,154$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,914,594$ | 142 | 16,828$ | 2,389,576$ |
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 | 35 | 29 | 0 | 3 | 6 | 4 | 5 | 294 | 257 | 37 | 41 | 18 | 12 | 0 | 1 | 4 | 2 | 4 | 173 | 131 | 42 | 41 | 17 | 17 | 0 | 2 | 2 | 2 | 1 | 121 | 126 | -5 | 95 | 294 | 476 | 770 | 0 | 7 | 0 | 115 | 95 | 77 | 2444 | 0 | 797 | 796 | 824 | 2036 | 600 | 1033 | 1607 | 504 | 89 | 17.66% | 417 | 83 | 80.10% | 6 | 1298 | 2515 | 51.61% | 1146 | 2215 | 51.74% | 691 | 1282 | 53.90% | 2219 | 1643 | 1823 | 555 | 937 | 481 |
12 | 82 | 35 | 29 | 0 | 3 | 6 | 4 | 5 | 294 | 257 | 37 | 41 | 18 | 12 | 0 | 1 | 4 | 2 | 4 | 173 | 131 | 42 | 41 | 17 | 17 | 0 | 2 | 2 | 2 | 1 | 121 | 126 | -5 | 95 | 294 | 476 | 770 | 0 | 7 | 0 | 115 | 95 | 77 | 2444 | 0 | 797 | 796 | 824 | 2036 | 600 | 1033 | 1607 | 504 | 89 | 17.66% | 417 | 83 | 80.10% | 6 | 1298 | 2515 | 51.61% | 1146 | 2215 | 51.74% | 691 | 1282 | 53.90% | 2219 | 1643 | 1823 | 555 | 937 | 481 |
13 | 68 | 23 | 37 | 0 | 1 | 4 | 2 | 1 | 174 | 216 | -42 | 34 | 13 | 16 | 0 | 0 | 3 | 1 | 1 | 90 | 114 | -24 | 34 | 10 | 21 | 0 | 1 | 1 | 1 | 0 | 84 | 102 | -18 | 57 | 174 | 299 | 473 | 1 | 4 | 0 | 61 | 56 | 54 | 1665 | 0 | 528 | 530 | 591 | 1873 | 548 | 863 | 1253 | 411 | 54 | 13.14% | 339 | 60 | 82.30% | 3 | 1093 | 1948 | 56.11% | 1063 | 1973 | 53.88% | 559 | 988 | 56.58% | 1603 | 1132 | 1711 | 493 | 794 | 386 |
13 | 68 | 23 | 37 | 0 | 1 | 4 | 2 | 1 | 174 | 216 | -42 | 34 | 13 | 16 | 0 | 0 | 3 | 1 | 1 | 90 | 114 | -24 | 34 | 10 | 21 | 0 | 1 | 1 | 1 | 0 | 84 | 102 | -18 | 57 | 174 | 299 | 473 | 1 | 4 | 0 | 61 | 56 | 54 | 1665 | 0 | 528 | 530 | 591 | 1873 | 548 | 863 | 1253 | 411 | 54 | 13.14% | 339 | 60 | 82.30% | 3 | 1093 | 1948 | 56.11% | 1063 | 1973 | 53.88% | 559 | 988 | 56.58% | 1603 | 1132 | 1711 | 493 | 794 | 386 |
14 | 68 | 38 | 16 | 0 | 2 | 4 | 3 | 5 | 239 | 167 | 72 | 34 | 17 | 12 | 0 | 1 | 2 | 1 | 1 | 110 | 81 | 29 | 34 | 21 | 4 | 0 | 1 | 2 | 2 | 4 | 129 | 86 | 43 | 95 | 239 | 429 | 668 | 0 | 5 | 0 | 94 | 84 | 56 | 2288 | 0 | 797 | 709 | 755 | 1630 | 429 | 795 | 1280 | 306 | 63 | 20.59% | 274 | 43 | 84.31% | 4 | 1365 | 2201 | 62.02% | 1063 | 1781 | 59.69% | 622 | 1015 | 61.28% | 1996 | 1495 | 1350 | 421 | 783 | 428 |
14 | 68 | 38 | 16 | 0 | 2 | 4 | 3 | 5 | 239 | 167 | 72 | 34 | 17 | 12 | 0 | 1 | 2 | 1 | 1 | 110 | 81 | 29 | 34 | 21 | 4 | 0 | 1 | 2 | 2 | 4 | 129 | 86 | 43 | 95 | 239 | 429 | 668 | 0 | 5 | 0 | 94 | 84 | 56 | 2288 | 0 | 797 | 709 | 755 | 1630 | 429 | 795 | 1280 | 306 | 63 | 20.59% | 274 | 43 | 84.31% | 4 | 1365 | 2201 | 62.02% | 1063 | 1781 | 59.69% | 622 | 1015 | 61.28% | 1996 | 1495 | 1350 | 421 | 783 | 428 |
15 | 82 | 34 | 29 | 0 | 5 | 5 | 1 | 8 | 235 | 195 | 40 | 41 | 19 | 13 | 0 | 2 | 1 | 1 | 5 | 118 | 94 | 24 | 41 | 15 | 16 | 0 | 3 | 4 | 0 | 3 | 117 | 101 | 16 | 93 | 235 | 407 | 642 | 1 | 5 | 0 | 80 | 68 | 81 | 2113 | 0 | 641 | 668 | 777 | 2125 | 653 | 1108 | 1649 | 427 | 85 | 19.91% | 458 | 62 | 86.46% | 2 | 1130 | 2410 | 46.89% | 1075 | 2558 | 42.03% | 540 | 1138 | 47.45% | 2080 | 1484 | 1948 | 573 | 955 | 484 |
15 | 82 | 34 | 29 | 0 | 5 | 5 | 1 | 8 | 235 | 195 | 40 | 41 | 19 | 13 | 0 | 2 | 1 | 1 | 5 | 118 | 94 | 24 | 41 | 15 | 16 | 0 | 3 | 4 | 0 | 3 | 117 | 101 | 16 | 93 | 235 | 407 | 642 | 1 | 5 | 0 | 80 | 68 | 81 | 2113 | 0 | 641 | 668 | 777 | 2125 | 653 | 1108 | 1649 | 427 | 85 | 19.91% | 458 | 62 | 86.46% | 2 | 1130 | 2410 | 46.89% | 1075 | 2558 | 42.03% | 540 | 1138 | 47.45% | 2080 | 1484 | 1948 | 573 | 955 | 484 |
16 | 82 | 19 | 56 | 0 | 4 | 1 | 0 | 2 | 223 | 364 | -141 | 41 | 9 | 28 | 0 | 3 | 1 | 0 | 0 | 112 | 179 | -67 | 41 | 10 | 28 | 0 | 1 | 0 | 0 | 2 | 111 | 185 | -74 | 49 | 223 | 394 | 617 | 1 | 0 | 0 | 82 | 84 | 53 | 2298 | 0 | 755 | 832 | 700 | 3009 | 912 | 1013 | 1655 | 376 | 48 | 12.77% | 434 | 116 | 73.27% | 3 | 952 | 2315 | 41.12% | 1107 | 2724 | 40.64% | 526 | 1263 | 41.65% | 1639 | 1149 | 2395 | 581 | 906 | 409 |
16 | 82 | 19 | 56 | 0 | 4 | 1 | 0 | 2 | 223 | 364 | -141 | 41 | 9 | 28 | 0 | 3 | 1 | 0 | 0 | 112 | 179 | -67 | 41 | 10 | 28 | 0 | 1 | 0 | 0 | 2 | 111 | 185 | -74 | 49 | 223 | 394 | 617 | 1 | 0 | 0 | 82 | 84 | 53 | 2298 | 0 | 755 | 832 | 700 | 3009 | 912 | 1013 | 1655 | 376 | 48 | 12.77% | 434 | 116 | 73.27% | 3 | 952 | 2315 | 41.12% | 1107 | 2724 | 40.64% | 526 | 1263 | 41.65% | 1639 | 1149 | 2395 | 581 | 906 | 409 |
17 | 72 | 7 | 58 | 0 | 3 | 3 | 1 | 0 | 134 | 388 | -254 | 36 | 3 | 30 | 0 | 2 | 1 | 0 | 0 | 69 | 189 | -120 | 36 | 4 | 28 | 0 | 1 | 2 | 1 | 0 | 65 | 199 | -134 | 25 | 134 | 259 | 393 | 0 | 0 | 0 | 54 | 35 | 41 | 1748 | 0 | 607 | 542 | 586 | 3632 | 1028 | 650 | 1237 | 242 | 14 | 5.79% | 299 | 76 | 74.58% | 0 | 493 | 1601 | 30.79% | 794 | 2676 | 29.67% | 323 | 1123 | 28.76% | 999 | 652 | 2584 | 518 | 749 | 287 |
17 | 72 | 7 | 58 | 0 | 3 | 3 | 1 | 0 | 134 | 388 | -254 | 36 | 3 | 30 | 0 | 2 | 1 | 0 | 0 | 69 | 189 | -120 | 36 | 4 | 28 | 0 | 1 | 2 | 1 | 0 | 65 | 199 | -134 | 25 | 134 | 259 | 393 | 0 | 0 | 0 | 54 | 35 | 41 | 1748 | 0 | 607 | 542 | 586 | 3632 | 1028 | 650 | 1237 | 242 | 14 | 5.79% | 299 | 76 | 74.58% | 0 | 493 | 1601 | 30.79% | 794 | 2676 | 29.67% | 323 | 1123 | 28.76% | 999 | 652 | 2584 | 518 | 749 | 287 |
18 | 19 | 2 | 16 | 0 | 1 | 0 | 0 | 0 | 54 | 122 | -68 | 9 | 2 | 6 | 0 | 1 | 0 | 0 | 0 | 30 | 46 | -16 | 10 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 24 | 76 | -52 | 6 | 54 | 107 | 161 | 0 | 0 | 25 | 18 | 10 | 1 | 587 | 187 | 201 | 189 | 10 | 1001 | 277 | 174 | 375 | 53 | 3 | 5.66% | 75 | 24 | 68.00% | 0 | 213 | 484 | 44.01% | 290 | 683 | 42.46% | 144 | 335 | 42.99% | 316 | 217 | 627 | 128 | 198 | 83 |
Total Regular Season | 927 | 314 | 466 | 0 | 37 | 46 | 22 | 42 | 2652 | 3296 | -644 | 463 | 160 | 228 | 0 | 19 | 24 | 10 | 22 | 1374 | 1622 | -248 | 464 | 154 | 238 | 0 | 18 | 22 | 12 | 20 | 1278 | 1674 | -396 | 834 | 2652 | 4635 | 7287 | 6 | 42 | 25 | 990 | 854 | 725 | 25699 | 187 | 8451 | 8343 | 8476 | 29611 | 8617 | 11098 | 17737 | 4585 | 709 | 15.46% | 4517 | 904 | 79.99% | 36 | 12875 | 26464 | 48.65% | 12786 | 28537 | 44.80% | 6666 | 13953 | 47.77% | 21393 | 15332 | 24254 | 6413 | 10453 | 5040 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 18 | -5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 6 | 13 | 22 | 35 | 0 | 1 | 0 | 4 | 3 | 6 | 156 | 0 | 41 | 63 | 52 | 186 | 55 | 94 | 129 | 62 | 11 | 17.74% | 39 | 2 | 94.87% | 0 | 95 | 213 | 44.60% | 84 | 217 | 38.71% | 37 | 89 | 41.57% | 147 | 102 | 195 | 51 | 77 | 36 |
11 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 18 | -5 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 6 | 13 | 22 | 35 | 0 | 1 | 0 | 4 | 3 | 6 | 156 | 0 | 41 | 63 | 52 | 186 | 55 | 94 | 129 | 62 | 11 | 17.74% | 39 | 2 | 94.87% | 0 | 95 | 213 | 44.60% | 84 | 217 | 38.71% | 37 | 89 | 41.57% | 147 | 102 | 195 | 51 | 77 | 36 |
14 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 27 | 27 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 14 | 27 | 45 | 72 | 0 | 3 | 0 | 9 | 7 | 8 | 270 | 0 | 82 | 84 | 80 | 297 | 77 | 176 | 216 | 67 | 11 | 16.42% | 77 | 10 | 87.01% | 0 | 189 | 400 | 47.25% | 207 | 400 | 51.75% | 86 | 176 | 48.86% | 293 | 194 | 317 | 101 | 164 | 79 |
14 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 27 | 27 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 8 | 11 | 14 | 27 | 45 | 72 | 0 | 3 | 0 | 9 | 7 | 8 | 270 | 0 | 82 | 84 | 80 | 297 | 77 | 176 | 216 | 67 | 11 | 16.42% | 77 | 10 | 87.01% | 0 | 189 | 400 | 47.25% | 207 | 400 | 51.75% | 86 | 176 | 48.86% | 293 | 194 | 317 | 101 | 164 | 79 |
Total Playoff | 38 | 20 | 18 | 0 | 0 | 0 | 0 | 0 | 80 | 90 | -10 | 16 | 6 | 10 | 0 | 0 | 0 | 0 | 0 | 28 | 48 | -20 | 22 | 14 | 8 | 0 | 0 | 0 | 0 | 0 | 52 | 42 | 10 | 40 | 80 | 134 | 214 | 0 | 8 | 0 | 26 | 20 | 28 | 852 | 0 | 246 | 294 | 264 | 966 | 264 | 540 | 690 | 258 | 44 | 17.05% | 232 | 24 | 89.66% | 0 | 568 | 1226 | 46.33% | 582 | 1234 | 47.16% | 246 | 530 | 46.42% | 881 | 595 | 1024 | 304 | 484 | 231 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator