Roadrunners

GP: 10 | W: 3 | L: 6 | OTL: 1 | P: 7
GF: 33 | GA: 36 | PP%: 17.24% | PK%: 88.89%
GM : Gilles Piette | Morale : 75 | Team Overall : 60

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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
1Juuso ParssinenXX100.007640886685737565726263616667654775640
2Jaroslav Chmelar (R)X100.008043786592798758556059645763655575630
3Shane LachanceX100.007339926185818458675960625963654975620
4Kai Uchacz (R)X100.007341725682798657625958635563654375610
5Tyson Kozak (R)X100.007039876369777857735659655864664875610
6Olivier Nadeau (R)X100.007241876181737058646255605763656275610
7Jared DavidsonX100.006739736069818558615760576264665675600
8Hunter McKownX100.006940835978778556615857605564664375600
9Yegor SidorovX100.006238876071888459615860575962646675600
10Eriks Mateiko (R)X100.008242815791716955605653595261636475600
11Xavier ParentXX100.006638705862828457605859555765674275590
12Oasiz Wiesblatt (R)X100.006345555763758556605958535662644575580
13Yan KuznetsovX100.007640846588878662306358725064666975640
14Frederic BrunetX100.007239866083818558306156634862655775620
15Taige Harding (R)X100.009048555999647756305852624564666275610
16David Gucciardi (R)X100.006541705774717958305361565264664875590
17Chase Pietila (R)X100.006948655578658554305351564562646175570
18Konnor Smith (R)X100.008543675394616252305150594562646375570
Scratches
1Patrick GilesX100.007941865993788558555457625666684275620
2Nathan LegareX100.007641665874808656515357595865676375600
3Matthew MaggioX100.006038845969878356615857555964665475590
4Parker BellX100.007641815585718153565254575563654975590
5Josh Bloom (R)X100.006837955677666355625952575463656275590
6Reece NewkirkX100.006142695670646655595852545365675475570
7Landon Sim (R)X100.005547525864716356505259535762644975560
8Mathias LaferriereX100.004040404040404040404040404040405075420
9Travis BarronX100.004040404040404040404040404040405075420
10Luke ProkopX100.008851895697667354305553614664666375610
TEAM AVERAGE100.00704274577772765651565558536264547559
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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
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Nikke Kokko100.00778581807675777675777662677075650
2Arsenii Sergeev (R)100.00768278817574767574767564715875650
Scratches
1Michal Postava (R)100.00798076777877797877797864714375660
2Jakub Malek (R)100.00758379807473757473757464716075640
3Luke Cavallin (R)100.00697369806867696867696866734275610
TEAM AVERAGE100.0075817780747375747375746471557564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dominique Ducharme64737472797470CAN531900,000$


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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
# 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
1Kai UchaczRoadrunners (UTA)C9571248021283272715.63%017719.752135150000130060.63%22100011.3500000110
2Yan KuznetsovRoadrunners (UTA)D921012-28018202611177.69%1622925.48044928000234010.00%000001.0500000101
3Frederic BrunetRoadrunners (UTA)D102790100819109820.00%1123323.39011223000032000.00%000000.7700000000
4Yegor SidorovRoadrunners (UTA)RW7549820482141423.81%310314.8001129000031175.00%400011.7400000100
5Juuso ParssinenRoadrunners (UTA)C/LW843714010253492511.76%620125.210111220002361065.29%29100100.6901000111
6Taige HardingRoadrunners (UTA)D91562802611103610.00%915617.4300039000018000.00%000000.7600000000
7Luke ProkopRoadrunners (UTA)D9325-280167110827.27%1118020.10101517000024010.00%000000.5500000101
8Shane LachanceRoadrunners (UTA)LW6235-440311214239.52%012520.991122130000150066.67%3300000.7901000010
9Olivier NadeauRoadrunners (UTA)RW4145-10051113367.69%07318.4700039000010062.50%800001.3500000010
10Jaroslav ChmelarRoadrunners (UTA)RW10134-2602124475272.13%222622.6900010270000420053.33%3000000.3501000000
11Xavier ParentRoadrunners (UTA)C/LW9134-220713265233.85%014316.00000312000000063.64%1100000.5600000001
12Hunter McKownRoadrunners (UTA)C10123-220516155126.67%210710.7300026000270055.95%8400000.5600000010
13Nathan LegareRoadrunners (UTA)RW4202-2606364333.33%17117.8900004000041050.00%400000.5600000001
14Eriks MateikoRoadrunners (UTA)C5112-16097134107.69%07414.9800000000020050.91%5500000.5300000000
15A.J. GreerMammothLW20221605654100.00%04824.10000310000080046.43%2800000.8300000010
16Matthew MaggioRoadrunners (UTA)RW7011-520149030.00%07510.7800000000020077.78%900000.2700000000
17Travis BarronRoadrunners (UTA)LW4011320223100.00%04711.8100000000000041.18%1700000.4200000000
18Parker BellRoadrunners (UTA)LW80112209715250.00%112515.71000214000010027.27%1100000.1600000000
19Landon SimRoadrunners (UTA)RW5011120188150.00%0336.750000000000000.00%000000.5900000001
20Jared DavidsonRoadrunners (UTA)C10000-5003710330.00%0474.7800000000160054.35%4600000.0000000000
21Mathias LaferriereRoadrunners (UTA)RW4000000010000.00%010.5000000000000075.00%400000.0000000000
22Tyson KozakRoadrunners (UTA)C3000-3003149540.00%14916.4200001000040066.67%6000000.0000000000
23Chase PietilaRoadrunners (UTA)D100000201676250.00%715715.7300003000017000.00%000000.0000000001
24David GucciardiRoadrunners (UTA)D1000-100020000.00%12020.270000200003000.00%000000.0000000000
25Konnor SmithRoadrunners (UTA)D5000-2802030030.00%57314.630000000003000.00%000000.0000000000
26Oasiz WiesblattRoadrunners (UTA)C4000000000000.00%020.670000000001000.00%000000.0000000000
Team Total or Average172316091-12980219264350912478.86%76279116.2349135223300072863360.26%91600120.6503000567
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
1Arsenii SergeevRoadrunners (UTA)52210.9183.5230700182190000.500253020
2Nikke KokkoRoadrunners (UTA)41200.9402.152230081330010.000037010
3Logan ThompsonMammoth10100.55617.141400490000.000010000
4Michal PostavaRoadrunners (UTA)10100.9054.0759004420000.000010000
Team Total or Average113610.9163.3860400344030010.50021010030


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
Arsenii SergeevG232002-12-16Yes192 Lbs6 ft3NoNoNo2RFAPro & Farm866,250$0$0$NoLink / NHL Link
Chase PietilaD222004-03-03Yes186 Lbs6 ft2NoNoNo2ELCPro & Farm850,000$0$0$NoLink / NHL Link
David GucciardiD232002-10-09Yes185 Lbs6 ft1NoNoNo2RFAPro & Farm800,000$0$0$NoLink / NHL Link
Eriks MateikoC202005-11-18Yes208 Lbs6 ft5NoNoNo2ELCPro & Farm856,667$0$0$NoLink / NHL Link
Frederic BrunetD232003-08-21No196 Lbs6 ft3NoNoNo1RFAPro & Farm860,000$0$0$NoLink / NHL Link
Hunter McKownC242002-08-18No205 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jakub MalekG242002-04-11Yes170 Lbs6 ft4NoNoNo2RFAPro & Farm867,500$0$0$NoLink / NHL Link
Jared DavidsonC242002-07-07No183 Lbs5 ft11NoNoNo2RFAPro & Farm862,500$0$0$NoLink / NHL Link
Jaroslav ChmelarRW232003-07-20Yes226 Lbs6 ft4NoNoNo2RFAPro & Farm942,500$0$0$NoLink / NHL Link
Josh BloomLW232003-06-08Yes182 Lbs6 ft2NoNoNo2RFAPro & Farm836,667$0$0$NoLink / NHL Link
Juuso ParssinenC/LW252001-02-01No207 Lbs6 ft3NoNoNo3RFAPro & Farm1,250,000$0$0$NoLink / NHL Link
Kai UchaczC232003-06-24Yes206 Lbs6 ft2NoNoNo2RFAPro & Farm920,000$0$0$NoLink / NHL Link
Konnor SmithD212004-11-06Yes209 Lbs6 ft6NoNoNo2ELCPro & Farm855,000$0$0$NoLink / NHL Link
Landon SimRW222004-07-17Yes166 Lbs5 ft10NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Luke CavallinG252001-04-29Yes196 Lbs6 ft2NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Luke ProkopD242002-06-05No224 Lbs6 ft6NoNoNo1RFAPro & Farm793,333$0$0$NoLink / NHL Link
Mathias LaferriereRW262000-06-27No188 Lbs6 ft2NoNoNo2RFAPro & Farm786,667$0$0$NoLink / NHL Link
Matthew MaggioRW232002-11-25No185 Lbs5 ft11NoNoNo2RFAPro & Farm870,000$0$0$NoLink / NHL Link
Michal PostavaG242002-02-28Yes200 Lbs6 ft1NoNoNo2RFAPro & Farm975,000$0$0$NoLink / NHL Link
Nathan LegareRW252001-01-11No200 Lbs6 ft0NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Nikke KokkoG222004-03-14No184 Lbs6 ft3NoNoNo1ELCPro & Farm891,666$0$0$NoLink / NHL Link
Oasiz WiesblattC222004-04-08Yes180 Lbs5 ft7NoNoNo2ELCPro & Farm775,000$0$0$NoLink / NHL Link
Olivier NadeauRW232003-01-15Yes204 Lbs6 ft2NoNoNo2RFAPro & Farm836,667$0$0$NoLink / NHL Link
Parker BellLW222003-09-26No192 Lbs6 ft4NoNoNo2ELCPro & Farm857,500$0$0$NoLink / NHL Link
Patrick GilesRW262000-01-03No218 Lbs6 ft5YesNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Reece NewkirkC252001-02-20No178 Lbs6 ft0NoNoNo1RFAPro & Farm828,333$0$0$NoLink / NHL Link
Shane LachanceLW232003-08-30No195 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Taige HardingD242002-01-03Yes235 Lbs6 ft6NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Travis BarronLW271998-11-17No205 Lbs6 ft1NoNoNo1RFAPro & Farm800,000$0$0$NoLink / NHL Link
Tyson KozakC232002-12-29Yes185 Lbs5 ft11NoNoNo2RFAPro & Farm875,000$0$0$NoLink / NHL Link
Xavier ParentC/LW252001-03-23No170 Lbs5 ft8YesNoNo3RFAPro & Farm825,000$0$0$NoLink / NHL Link
Yan KuznetsovD242002-03-09No209 Lbs6 ft4NoNoNo2RFAPro & Farm812,500$0$0$NoLink / NHL Link
Yegor SidorovRW222004-06-18No184 Lbs6 ft0NoNoNo1ELCPro & Farm865,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3323.48196 Lbs6 ft21.85874,508$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Shane LachanceJuuso ParssinenJaroslav Chmelar40122
2Xavier ParentKai UchaczOlivier Nadeau30122
3Eriks MateikoTyson KozakYegor Sidorov20122
4Juuso ParssinenEriks MateikoJaroslav Chmelar10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Yan KuznetsovFrederic Brunet40122
2Taige HardingDavid Gucciardi30122
3Chase PietilaKonnor Smith20122
4Yan KuznetsovFrederic Brunet10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Shane LachanceJuuso ParssinenJaroslav Chmelar60122
2Xavier ParentKai UchaczOlivier Nadeau40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Yan KuznetsovFrederic Brunet60122
2Taige HardingDavid Gucciardi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Juuso ParssinenJaroslav Chmelar60122
2Shane LachanceOlivier Nadeau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Yan KuznetsovFrederic Brunet60122
2Taige HardingDavid Gucciardi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Juuso Parssinen60122Yan KuznetsovFrederic Brunet60122
2Jaroslav Chmelar40122Taige HardingDavid Gucciardi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Juuso ParssinenJaroslav Chmelar60122
2Shane LachanceOlivier Nadeau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Yan KuznetsovFrederic Brunet60122
2Taige HardingDavid Gucciardi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Shane LachanceJuuso ParssinenJaroslav ChmelarYan KuznetsovFrederic Brunet
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Shane LachanceJuuso ParssinenJaroslav ChmelarYan KuznetsovFrederic Brunet
Extra Forwards
Normal PowerPlayPenalty Kill
Hunter McKown, Jared Davidson, Oasiz WiesblattHunter McKown, Jared DavidsonOasiz Wiesblatt
Extra Defensemen
Normal PowerPlayPenalty Kill
Chase Pietila, Konnor Smith, Taige HardingChase PietilaKonnor Smith, Taige Harding
Penalty Shots
Juuso Parssinen, Jaroslav Chmelar, Shane Lachance, Olivier Nadeau, Kai Uchacz
Goalie
#1 : Arsenii Sergeev, #2 : Nikke Kokko
Custom OT Lines Forwards
Juuso Parssinen, Jaroslav Chmelar, Shane Lachance, Olivier Nadeau, Kai Uchacz, Tyson Kozak, Tyson Kozak, Eriks Mateiko, Hunter McKown, Jared Davidson, Yegor Sidorov
Custom OT Lines Defensemen
Yan Kuznetsov, Frederic Brunet, Taige Harding, David Gucciardi, Chase Pietila


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
107L43363963624048810223410
All Games
GPWLOTWOTL SOWSOLGFGA
102610013336
Home Games
GPWLOTWOTL SOWSOLGFGA
51400001922
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51210011414
Last 10 Games
WLOTWOTL SOWSOL
360001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
29517.24%45588.89%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
117106135791491
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23137162.26%22739158.06%9915663.46%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2701932136512264


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
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-021Roadrunners4Firebirds2WBoxScore
2 - 2026-09-0322Griffins4Roadrunners1LBoxScore
4 - 2026-09-0533Roadrunners4Condors3WXBoxScore
5 - 2026-09-0662Penguins7Roadrunners4LBoxScore
7 - 2026-09-0878Silver Knights2Roadrunners8WBoxScore
8 - 2026-09-0982Roadrunners2Wolves3LXXBoxScore
10 - 2026-09-1197Roadrunners3Rocket4LBoxScore
11 - 2026-09-12114Roadrunners1Marlies2LBoxScore
13 - 2026-09-14134Checkers5Roadrunners3LBoxScore
14 - 2026-09-15146Americans4Roadrunners3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
34 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,885,875$ 2,885,875$ 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$ 0 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
201778273903612370399-2939142103001185197-1239131800611185202-17703705609301063153150619054646837402825768471638183039016843.08%2787573.02%17696130853.21%831159452.13%846152055.66%127554319907311443741
201982244901404210261-5141142201202106125-1941102700202104136-3258210386596046870712266987086093119301083548119172553915.29%2154380.00%11460292149.98%1586314450.45%637123951.41%1908131219946021043516
20208234330851130328716411518043011481453411915042101551421392303542845101259178102933977102091726301187356620842416727.80%2535379.05%31584302052.45%1601304152.65%697139150.11%1941134119595981055523
202182343902331287287041171901211145142341172001120142145-38228753081704011398712987086210521052316791958720402775620.22%2445278.69%11683306354.95%1745322854.06%769136656.30%2050144018685781035537
20228245230255234127170412211012411651293641231201311176142341113416259662201341039731710107710211042315887367922122997826.09%2825580.50%31892316559.78%1897323758.60%818140558.22%2139151817965641035542
2023824723035313512846741279021201771265141201401411174158161123516349850101349511632520103710731116350296767823112918027.49%2866577.27%11849318158.13%1970337458.39%828143657.66%2142153117945561023538
202482352501163233527758412410042011791295041111507431156148810633559492912012211089296501021941959317992462421512696022.30%2765380.80%21719289259.44%1919318660.23%818136459.97%2137152918325531006527
202582452703610327260674124110141016412539412116022001631352810432760593251011510510328750957923981304084366522332576525.29%2854982.81%31706284859.90%1844304760.52%813134860.31%2094147818255521020535
20261026010013336-3514000001922-351201001141407336396109149136211710613574048810223429517.24%45588.89%023137162.26%22739158.06%9915663.46%2701932136512264
Total Regular Season66229326403440171425572362195331158125017168712881140148331135139017249712691222477422557453970961114265946819495231192428762377335230250477169602017012230861826.78%216445079.21%31128202276956.30%136202424256.18%63251122556.35%159611088915275480487864526
Playoff
2022624000001520-53210000077030300000813-541527420003561820565258236876516528414.29%28582.14%010922448.66%14427352.75%378245.12%14092171508240
2023149500000564313752000002721674300000292271856102158000261416504017715916058015410837242921.43%531179.25%129153554.39%32357456.27%12322554.67%3662613069417290
2024128400000463796420000023185642000002319416468312900020168432014715212448311989331421126.19%37781.08%026444858.93%27548257.05%11319956.78%3082222768214877
2025514000001517-22110000065130300000912-321528430006361920674168188474614322418.18%21766.67%012321457.48%13420465.69%508260.98%147104120397036
Total Playoff372017000001321171518126000006351121981100000696634013224037200055383613100447404410148740730810111342820.90%1393078.42%1787142155.38%876153357.14%32358854.93%963680875265474245