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Roadrunners
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Maxime Pigeon-Gosselin | Morale : 50 | Team Overall : 57

Team Leaders

Team Stats
Team Info

General ManagerMaxime Pigeon-Gosselin
DivisionAtlantique
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team19
Contract Limit42 / 50
Prospects26


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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Raphael Lavoie (R)XX100.00664764677064636644626361655150050620232870,000$
2Gage Goncalves (R)X100.00584467686365636563665760635150050610222820,000$
3Jackson Blake (R)X100.00574070706777606340606060655150050610203905,833$
4Brendan Brisson (R)XXX100.00614463686362606343605958645050050600212925,000$
5Luke Toporowski (R)X100.00574466666163626242605755625150050590222560,000$
6Ivan Ivan (R)XXX100.00614168636362616242615859615050050590213845,000$
7Sasha Pastujov (R)XX100.00604169636359576141595756605050050580203825,000$
8Eetu Liukas (R)X100.00614265596662605941555555585050050570213867,500$
9Tyson Kozak (R)X100.00584469656059575855535353595050050560203900,000$
10Alex Jefferies (R)X100.00604067626359585840555555585050050560213867,500$
11Dylan Wendt (R)XXX100.0060406763636058564055555658515005056N0221895,000$
12Max Szuber (R)X100.00664264666563626340625866625050050620213859,167$
13Ville Ottavainen (R)X100.00674267636863626440625967625050050620213867,500$
14Kyle Masters (R)X100.00624067636359575640555463585050050590203865,000$
15Dmitry Kuzmin (R)X100.00594067656159575740555560595050050580203795,556$
16Gannon Laroque (R)X100.00634063636456545640555562585050050580203836,667$
17Samuel Sjolund (R)X100.00393995636455803525332741325454050490222560,000$
Scratches
1Jesper FrodenX100.00554368705763626042575762635750050590291842,500$
2Cole McWard (R)X100.00604173707070626440595865645150050630223900,000$
TEAM AVERAGE100.0059426865646261594257555960515005059
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Frederik Nissen Dichow100.0058676083565857545354545446050550222560,000$
2Hunter Jones100.0059555568605655515758505150050530232900,000$
Scratches
1Rasmus Korhonen100.0040384685414043433939394437050430202650,000$
2Lukas Parik (R)100.0040384678414043433939394437050420222700,000$
TEAM AVERAGE100.004950527950495048474846484305048
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 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
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
# 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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alex JefferiesRoadrunners (Uta)LW212001-11-08USAYes194 Lbs6 ft0NoNoProspectNoNo32024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Link
Brendan BrissonRoadrunners (Uta)C/LW/RW212001-10-22USAYes191 Lbs6 ft1NoNoTrade2025-02-15NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Link
Cole McWard (1 Way Contract)Roadrunners (Uta)D222001-06-09USAYes192 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Dmitry KuzminRoadrunners (Uta)D202003-04-23BELYes180 Lbs5 ft10NoNoProspectNoNo32024-06-25FalseFalsePro & Farm795,556$0$0$No795,556$795,556$-------795,556$795,556$-------NoNo-------Link
Dylan WendtRoadrunners (Uta)C/LW/RW222001-01-09USAYes185 Lbs6 ft1YesNoFree AgentNoNo12024-09-28FalseFalsePro & Farm895,000$0$0$No---------870,000$870,000$----------------Link
Eetu LiukasRoadrunners (Uta)LW212002-09-25FINYes205 Lbs6 ft3NoNoProspectNoNo32024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Link
Frederik Nissen DichowRoadrunners (Uta)G222001-03-01DENNo192 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Link
Gage GoncalvesRoadrunners (Uta)LW222001-01-16CANYes188 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------Link
Gannon LaroqueRoadrunners (Uta)D202003-08-20CANYes200 Lbs6 ft2NoNoProspectNoNo32024-06-25FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------836,667$836,667$-------NoNo-------Link
Hunter JonesRoadrunners (Uta)G232000-09-21CANNo205 Lbs6 ft4NoNoFree AgentNoNo22024-09-06FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Link
Ivan IvanRoadrunners (Uta)C/LW/RW212002-08-20CZEYes190 Lbs6 ft0NoNoProspectNoNo32024-06-25FalseFalsePro & Farm845,000$0$0$No845,000$845,000$-------845,000$845,000$-------NoNo-------Link
Jackson BlakeRoadrunners (Uta)RW202003-08-03USAYes152 Lbs5 ft10NoNoProspectNoNo32024-06-25FalseFalsePro & Farm905,833$0$0$No905,833$905,833$-------905,833$905,833$-------NoNo-------Link
Jesper Froden (1 Way Contract)Roadrunners (Uta)RW291994-09-21SWENo176 Lbs5 ft10NoNoTrade2025-03-06YesNo1FalseFalsePro & Farm842,500$0$0$No---------------------------Link
Kyle MastersRoadrunners (Uta)D202003-04-09CANYes190 Lbs6 ft0NoNoProspectNoNo32024-06-25FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Link
Lukas ParikRoadrunners (Uta)G222001-03-15CZEYes185 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Link
Luke ToporowskiRoadrunners (Uta)LW222001-04-12USAYes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Link
Max SzuberRoadrunners (Uta)D212002-08-25POLYes203 Lbs6 ft3NoNoDraftNoNo32024-06-25FalseFalsePro & Farm859,167$0$0$No859,167$859,167$-------859,167$859,167$-------NoNo-------Link
Raphael LavoieRoadrunners (Uta)C/RW232000-09-25CANYes215 Lbs6 ft4NoNoFree AgentNoNo22024-08-31FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Link
Rasmus KorhonenRoadrunners (Uta)G202002-10-22FINNo201 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Link
Samuel SjolundRoadrunners (Uta)D222001-05-19SWEYes174 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Link
Sasha PastujovRoadrunners (Uta)LW/RW202003-07-15USAYes192 Lbs6 ft0NoNoProspectNoNo32024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Link
Tyson Kozak (1 Way Contract)Roadrunners (Uta)C202002-12-29CANYes179 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Link
Ville OttavainenRoadrunners (Uta)D212002-08-12FINYes216 Lbs6 ft5NoNoProspectNoNo32024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2321.52191 Lbs6 ft12.43809,444$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
3Luke ToporowskiIvan IvanJackson Blake20122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Ville Ottavainen30122
3Kyle Masters20122
4Dmitry Kuzmin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Ottavainen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Ottavainen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Ville Ottavainen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ville Ottavainen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Jackson Blake, Ivan Ivan, Luke ToporowskiJackson Blake, Ivan IvanLuke Toporowski
Extra Defensemen
Normal PowerPlayPenalty Kill
, Kyle Masters, Dmitry KuzminKyle Masters, Dmitry Kuzmin
Penalty Shots
, , , ,
Goalie
#1 : Frederik Nissen Dichow, #2 : Hunter Jones


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
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

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%000%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%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
3 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,597,473$ 1,597,473$ 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$ 3 0$ 0$




Roadrunners Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Roadrunners Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Roadrunners Career Team Stats

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

Roadrunners Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Roadrunners Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA