Roadrunners

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Remy Vachon | Morale : 75 | Team Overall : 61
Next Games #1 vs Firebirds

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10textAny 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
Scratches
1Beckett Sennecke (R)X100.007137768085889079628074657759619175700
2Cole O'Hara (R)X100.006840936472798663576065616264665875630
3Max Shabanov (R)X100.006133956963837665506760636965664275630
4Aleksanteri KaskimakiX100.006337956173828559636058615963626675610
5Eriks Mateiko (R)X100.008242815791716955605653595261636475600
6Nico MyatovicX100.006839895977728558535556575462647775600
7Melvin Fernstrom (R)X100.006536956174816359666456585760626475600
8Matthew Barbolini (R)X100.006940835778708156595855535666684275590
9Camden Thiesing (R)X100.006340755772768255625456535865674275580
10Carson BantleX100.007643705585707354505253565164665775580
11Julian LutzX100.006539785574667953575654585262647475580
12Jack D. Hughes (R)X100.005737865666678255585754535663657175580
13Mathieu Cataford (R)X100.006238875771737056545553585261636675580
14Jack ThompsonX100.006437906375848162306663616264665975630
15Finn Harding (R)X100.007137756280668056306054584761634975600
16Luca Marrelli (R)X100.006538906174737158306256574861636475600
17Noah Chadwick (R)X100.007941825788668655305854594661634975600
18Gavin WhiteX100.006538925774727855305653544664665875590
19Kaden Hammell (R)X100.006640785775707654305556584761635575580
20Joe Fleming (R)X100.007150525780657755505452565063654575570
21Tomas Hamara (R)X100.006238885371636852305154564562646675570
TEAM AVERAGE100.00673983607673785848595758556264607560
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PriorityTypeDescription
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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
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Scratches
1Carl Lindbom100.00788682757776787776787763695975660
2Remi Poirier100.00788783827776787776787765734775660
3Logan Terness (R)100.00737167737271737271737264714375630
TEAM AVERAGE100.0076817777757476757476756471507565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Manny Malhotra68706769716680CAN463500,000$


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PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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
Filter Tips
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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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aleksanteri KaskimakiC232004-02-06No195 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Beckett SenneckeRW212006-01-28Yes206 Lbs6 ft3NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Camden ThiesingC262001-03-26Yes189 Lbs6 ft0NoNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Carl LindbomG242003-05-20No186 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Carson BantleLW252002-01-22No194 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cole O'HaraRW252002-06-20Yes189 Lbs6 ft0NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Eriks MateikoC222005-11-18Yes208 Lbs6 ft5NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Finn HardingD222005-03-02Yes214 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Gavin WhiteD252002-11-12No196 Lbs6 ft0NoNoNo1RFAPro & Farm999,999$0$0$NoLink / NHL Link
Jack D. HughesC242003-11-02Yes170 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jack ThompsonD252002-03-19No189 Lbs6 ft1NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Joe FlemingD242003-06-19Yes215 Lbs6 ft1NoNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Julian LutzLW232004-02-29No185 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Kaden HammellD222005-03-12Yes187 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Logan TernessG252002-09-18Yes174 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Luca MarrelliD222005-10-04Yes181 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Mathieu CatafordC222005-03-01Yes191 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matthew BarboliniC272000-06-01Yes188 Lbs6 ft2NoNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Max ShabanovRW272000-10-07Yes167 Lbs5 ft9NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Melvin FernstromRW212006-02-28Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Nico MyatovicLW232004-12-01No182 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Noah ChadwickD222005-05-10Yes207 Lbs6 ft4NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Remi PoirierG262001-10-06No210 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tomas HamaraD232004-03-09Yes185 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2423.71191 Lbs6 ft12.50928,125$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2026-09-191Roadrunners-Firebirds-
2 - 2026-09-2022Griffins-Roadrunners-
4 - 2026-09-2233Roadrunners-Condors-
5 - 2026-09-2362Penguins-Roadrunners-
7 - 2026-09-2578Silver Knights-Roadrunners-
8 - 2026-09-2682Roadrunners-Wolves-
10 - 2026-09-2897Roadrunners-Rocket-
11 - 2026-09-29114Roadrunners-Marlies-
13 - 2026-10-01134Checkers-Roadrunners-
14 - 2026-10-02146Americans-Roadrunners-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price2515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,227,500$ 2,227,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 14 0$ 0$




OverallHomeVisitor
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
20205624240232120119742814110120011310112281013011218896-86020134854901069695920030625664689199460039412371603723.13%1623578.40%41058203951.89%1024201150.92%49196850.72%13099041346412730361
202182283805623286303-1741151800413140147-741132005210146156-107928651179760087999327230896896910294884646017572474217.00%1984278.79%11454287050.66%1467301148.72%670136948.94%1886129820116121063528
202282363601234275302-2741211401221147145241152200013128157-298627549276730088978626330832854920286085062618102745319.34%2806875.71%01363283648.06%1486303548.96%646137946.85%1871126720186251071525
20238229360616428827513411217041431481435411719020211401328872885087961101011096627920863923961270278173019622885920.49%3186579.56%51419294448.20%1394293947.43%655132549.43%1960135019716061053527
202482362803573248209394118150152011610115411813020531321082410024843568306078867424560747871808225758570319752745520.07%2914783.85%31450280451.71%1330261650.84%625125649.76%2034141718895941057533
202582273904651214233-194116170332011610974111220133198124-267921438459841068696823270752743804234164064319732695018.59%2775281.23%11334264750.40%1346272449.41%632122951.42%1939133819746071060526
Total Regular Season46618020102123251615121519-723396920101711778074634233841090116149732773-414911512267841901490491529446149340471549515092151024302355610714151229619.58%152630979.75%1480781614050.05%80471633649.26%3719752649.42%11002757811210345760383002
Playoff
2024271611000007260121376000003231114950000040291132721302021303023178380290262249806250222703861416.28%1011486.14%048297549.44%45795747.75%20541349.64%675463663200352176
Total Playoff271611000007260121376000003231114950000040291132721302021303023178380290262249806250222703861416.28%1011486.14%048297549.44%45795747.75%20541349.64%675463663200352176