Roadrunners
GP: 30 | W: 16 | L: 10 | OTL: 4 | P: 36
GF: 115 | GA: 89 | PP%: 18.07% | PK%: 77.11%
DG: Mathieu Roy | Morale : 75 | Moyenne d’équipe : 63
Prochain matchs #462 vs Reign
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Centre de jeu
Roadrunners
16-10-4, 36pts
2
FINAL
3 Comets
16-12-1, 33pts
Team Stats
W1StreakW3
7-3-1Home Record7-5-1
9-7-3Away Record9-7-0
6-3-1Last 10 Games7-3-0
3.83Buts par match 4.24
2.97Buts contre par match 3.83
18.07%Pourcentage en avantage numérique23.21%
77.11%Pourcentage en désavantage numérique73.63%
Roadrunners
16-10-4, 36pts
3
FINAL
2 Wranglers
12-16-2, 26pts
Team Stats
W1StreakL1
7-3-1Home Record3-7-2
9-7-3Away Record9-9-0
6-3-1Last 10 Games3-6-1
3.83Buts par match 3.07
2.97Buts contre par match 3.53
18.07%Pourcentage en avantage numérique21.52%
77.11%Pourcentage en désavantage numérique80.73%
Reign
12-14-2, 26pts
2025-12-08
Roadrunners
16-10-4, 36pts
Statistiques d’équipe
W1SéquenceW1
8-5-0Fiche domicile7-3-1
4-9-2Fiche visiteur9-7-3
4-6-010 derniers matchs6-3-1
3.82Buts par match 3.83
3.86Buts contre par match 2.97
21.52%Pourcentage en avantage numérique18.07%
78.05%Pourcentage en désavantage numérique77.11%
Checkers
2-22-3, 7pts
2025-12-10
Roadrunners
16-10-4, 36pts
Statistiques d’équipe
L5SéquenceW1
0-15-2Fiche domicile7-3-1
2-7-1Fiche visiteur9-7-3
0-9-110 derniers matchs6-3-1
3.22Buts par match 3.83
5.63Buts contre par match 2.97
11.32%Pourcentage en avantage numérique18.07%
62.50%Pourcentage en désavantage numérique77.11%
Firebirds
7-17-2, 16pts
2025-12-12
Roadrunners
16-10-4, 36pts
Statistiques d’équipe
W2SéquenceW1
3-10-0Fiche domicile7-3-1
4-7-2Fiche visiteur9-7-3
3-6-110 derniers matchs6-3-1
3.65Buts par match 3.83
5.04Buts contre par match 2.97
21.31%Pourcentage en avantage numérique18.07%
73.61%Pourcentage en désavantage numérique77.11%
Meneurs d'équipe
Simon NemecButs
Simon Nemec
4
Simon NemecPasses
Simon Nemec
12
Simon NemecPoints
Simon Nemec
16
Simon NemecPlus/Moins
Simon Nemec
10
Joel BlomqvistVictoires
Joel Blomqvist
10
Joel BlomqvistPourcentage d’arrêts
Joel Blomqvist
0.924

Statistiques d’équipe
Buts pour
115
3.83 GFG
Tirs pour
1240
41.33 Avg
Pourcentage en avantage numérique
18.1%
15 GF
Début de zone offensive
44.5%
Buts contre
89
2.97 GAA
Tirs contre
1001
33.37 Avg
Pourcentage en désavantage numérique
77.1%
19 GA
Début de la zone défensive
38.4%
Information d’équipe

Directeur généralMathieu Roy
EntraîneurBenoit Groulx
DivisionCentral Division
ConférenceWestern Conference
CapitaineJustin Bailey
Assistant #1A.J. Greer
Assistant #2Declan Carlile


Informations de l’aréna

Capacité3,000
Assistance2,746
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 80
Espoirs45


Historique d'équipe

Saison actuelle16-10-4 (36PTS)
Historique62-42-9 (0.549%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)6-6
Stanley Cup0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Juuso Parssinen13XX100.00774088688682846773656466696467075660241950,000$
2Collin Graf (R)51XX100.00663792677686746671686070656466075650233950,000$
3Justin Bailey (C)90X100.00784185658983876356626164637072075650302999,999$
4Aidan McDonough (R)25XX100.00724190648186736362606661656768075640252950,000$
5Liam Ohgren (R)28X100.00673694667286736558626461636265075640213950,000$
6A.J. Greer (A)12X100.00807668668574866457606163657071075640282999,999$
7Sam Morton (R)45XX100.00763792657186756461626360646667075640262999,999$
8Brad Lambert (R)19XX100.00633784677287856469665863656264075630211950,000$
9Wyatt Bongiovanni74XX100.00643882627391795958576458616668075620261750,000$
10Aleksanteri Kaskimaki (R)41X100.00603695616977715969625756586163075600213950,000$
11Adam Sykora (R)14XX100.00593595576682865660585659556163075600212950,000$
12Oskar Olausson (R)42XXX100.00653785597380795755585655596365075600221950,000$
13Shakir Mukhamadullin (R)44X100.00743988688685806430676066526365075650231950,000$
14David Reinbacher (R)63X100.00764279658568646230605964526163075630203950,000$
15Declan Carlile (A)72X100.00704079628380826130605963526567075630253999,999$
16Helge Grans (R)56X100.00744083618782846230635660496365075630231856,800$
17Ville Heinola4X100.00613984637182716430635860506466075620241879,700$
18Akito Hirose46X100.00643784576876725830565559486668075600262750,000$
Rayé
1Jacob Perreault (R)63X100.00624168577170765660585559546365075590231750,000$
2Nate Clurman84X100.00693980587975725530575659496769075600271750,000$
3Christoffer Sedoff8X100.00693985577867805530565358466365075590232999,999$
4Luke Krys54X100.00684081547770735330565355466567075580252999,999$
MOYENNE D’ÉQUIPE100.0069408562778078614961596157646607562
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Leevi Merilainen (R)100.0079858181787779787779786369075670231950,000$
2Joel Blomqvist (R)100.0077868283767577767577766369075660232950,000$
Rayé
1Callum Tung100.0067706683666567666567666267075610213999,999$
MOYENNE D’ÉQUIPE100.007480768273727473727473636807565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx77647165868164CAN571500,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
1Juuso ParssinenRoadrunners (UTA)C/LW291615311130106296131318712.21%962921.7213416610113743057.88%93300010.9812011331
2Brad LambertRoadrunners (UTA)C/RW30920291280257385207410.59%751517.2050517770000151058.04%62200001.1201000122
3Collin GrafRoadrunners (UTA)C/RW307212814603864136411045.15%1572524.2015623771017861053.85%7800000.7702000113
4Aidan McDonoughRoadrunners (UTA)LW/RW30141327121356640109256012.84%353817.953471979000012154.84%6200011.0000010312
5Liam OhgrenRoadrunners (UTA)LW301512271380214578277919.23%248616.21000170000110166.67%2700011.1100000220
6Shakir MukhamadullinRoadrunners (UTA)D29320231616067376719374.48%4172825.131452673000064100.00%000000.6300000111
7Sam MortonRoadrunners (UTA)C/LW3011102112604630108296010.19%260820.281121864000041058.49%5300010.6900000112
8Helge GransRoadrunners (UTA)D3021517181956423313216.45%3957419.15000727000145100.00%000000.5900010001
9Simon NemecMammothD194121610120253037122810.81%2647725.161011850000139000.00%000100.6700000020
10David ReinbacherRoadrunners (UTA)D2541115113210602428132814.29%3347719.11224838000138000.00%000000.6300011002
11Justin BaileyRoadrunners (UTA)RW308715540383075236410.67%839713.260229370000362046.81%4700000.7500000010
12Declan CarlileRoadrunners (UTA)D301910-314038263113213.23%4055218.42033417000060000.00%000000.3600000000
13A.J. GreerRoadrunners (UTA)LW2844831955318629396.45%429110.4100000000000114.29%1400000.5500100001
14Wyatt BongiovanniRoadrunners (UTA)C/LW30336-27519223615278.33%52608.6800000000001043.58%17900000.4600001000
15Ville HeinolaRoadrunners (UTA)D180554401615219170.00%2030416.9401193700016000.00%000000.3300000000
16Akito HiroseRoadrunners (UTA)D6033-140542220.00%47412.450000000001000.00%000000.8000000000
17Oskar OlaussonRoadrunners (UTA)C/LW/RW192131201131521113.33%21256.6300000000000044.44%900000.4800000000
18Aleksanteri KaskimakiRoadrunners (UTA)C611220011071414.29%0366.1200000000000057.89%3800001.0900000001
19Adam SykoraRoadrunners (UTA)C/LW61122000683112.50%0366.1200000000000060.00%500001.0900000000
20Nate ClurmanRoadrunners (UTA)D3011720422220.00%33612.100000000000000.00%000000.5500000000
Statistiques d’équipe totales ou en moyenne4581051842891472064065959810692997669.82%263788117.211525401756491121449013355.97%206700140.7315143121416
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joel BlomqvistRoadrunners (UTA)2010630.9242.64115840516730000.66732010131
2Leevi MerilainenRoadrunners (UTA)116410.8873.3765800373280001.00031020000
Statistiques d’équipe totales ou en moyenne31161040.9122.911816408810010000.83363030131


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
A.J. GreerRoadrunners (UTA)LW281996-12-14No209 Lbs6 ft3NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Adam SykoraRoadrunners (UTA)C/LW212004-09-07Yes179 Lbs5 ft10NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Aidan McDonoughRoadrunners (UTA)LW/RW251999-11-06Yes190 Lbs6 ft3NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Akito HiroseRoadrunners (UTA)D261999-04-09No170 Lbs6 ft0NoNoNo2Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$Lien / Lien NHL
Aleksanteri KaskimakiRoadrunners (UTA)C212004-02-06Yes181 Lbs5 ft11NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Brad LambertRoadrunners (UTA)C/RW212003-12-19Yes173 Lbs6 ft1NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Callum TungRoadrunners (UTA)G212003-11-23No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Christoffer SedoffRoadrunners (UTA)D232002-02-20No201 Lbs6 ft1NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Collin GrafRoadrunners (UTA)C/RW232002-09-21Yes194 Lbs6 ft1NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
David ReinbacherRoadrunners (UTA)D202004-10-25Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Declan CarlileRoadrunners (UTA)D252000-05-18No192 Lbs6 ft3NoNoNo3Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$999,999$Lien / Lien NHL
Helge GransRoadrunners (UTA)D232002-05-10Yes205 Lbs6 ft4NoNoNo1Pro & Farm856,800$584,588$856,800$584,588$0$0$NoLien / Lien NHL
Jacob PerreaultRoadrunners (UTA)RW232002-04-15Yes192 Lbs5 ft11NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Joel BlomqvistRoadrunners (UTA)G232002-01-10Yes200 Lbs6 ft3NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Justin BaileyRoadrunners (UTA)RW301995-07-01No214 Lbs6 ft4NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Juuso ParssinenRoadrunners (UTA)C/LW242001-02-01No212 Lbs6 ft3NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Leevi MerilainenRoadrunners (UTA)G232002-08-13Yes186 Lbs6 ft3NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Liam OhgrenRoadrunners (UTA)LW212004-01-28Yes187 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Luke KrysRoadrunners (UTA)D252000-09-27No185 Lbs6 ft2NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Nate ClurmanRoadrunners (UTA)D271998-05-08No193 Lbs6 ft2NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Oskar OlaussonRoadrunners (UTA)C/LW/RW222002-11-10Yes180 Lbs6 ft1NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Sam MortonRoadrunners (UTA)C/LW261999-07-28Yes185 Lbs6 ft0NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Shakir MukhamadullinRoadrunners (UTA)D232002-01-10Yes200 Lbs6 ft4NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Ville HeinolaRoadrunners (UTA)D242001-03-02No181 Lbs6 ft0NoNoNo1Pro & Farm879,700$600,212$879,700$600,212$0$0$NoLien / Lien NHL
Wyatt BongiovanniRoadrunners (UTA)C/LW261999-07-24No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$511,719$750,000$511,719$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.76192 Lbs6 ft21.84925,460$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam MortonJuuso ParssinenCollin Graf40014
2Liam OhgrenBrad LambertAidan McDonough30113
3A.J. GreerWyatt BongiovanniJustin Bailey20122
4Adam SykoraAleksanteri KaskimakiOskar Olausson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinDavid Reinbacher40113
2Declan CarlileHelge Grans30122
3Ville HeinolaAkito Hirose20122
4Ville HeinolaHelge Grans10131
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aidan McDonoughBrad LambertCollin Graf60005
2Sam MortonJuuso ParssinenJustin Bailey40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinDavid Reinbacher60014
2Ville HeinolaDeclan Carlile40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenCollin Graf60131
2Justin Bailey40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherShakir Mukhamadullin60050
2Declan CarlileHelge Grans40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Collin Graf60140David ReinbacherShakir Mukhamadullin60131
2Juuso Parssinen40050Declan CarlileHelge Grans40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertLiam Ohgren60122
2Sam MortonAidan McDonough40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1David ReinbacherShakir Mukhamadullin60122
2Ville HeinolaHelge Grans40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Aidan McDonoughJuuso ParssinenCollin GrafDavid ReinbacherShakir Mukhamadullin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam MortonJuuso ParssinenCollin GrafDavid ReinbacherShakir Mukhamadullin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Bailey, Collin Graf, Juuso ParssinenLiam Ohgren, Brad LambertCollin Graf
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
David Reinbacher, Declan Carlile, Shakir MukhamadullinDavid ReinbacherShakir Mukhamadullin, David Reinbacher
Tirs de pénalité
Juuso Parssinen, Collin Graf, Brad Lambert, Liam Ohgren, Aidan McDonough
Gardien
#1 : Joel Blomqvist, #2 : Leevi Merilainen
Lignes d’attaque personnalisées en prolongation
Juuso Parssinen, Brad Lambert, Collin Graf, Liam Ohgren, Aidan McDonough, Wyatt Bongiovanni, Wyatt Bongiovanni, Sam Morton, A.J. Greer, Oskar Olausson, Adam Sykora
Lignes de défense personnalisées en prolongation
David Reinbacher, Shakir Mukhamadullin, Ville Heinola, Declan Carlile, Helge Grans


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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
1Admirals11000000835000000000001100000083521.0008152300553621347420412391222271124200.00%30100.00%1673120455.90%607104158.31%27546359.40%810586640206373196
2Americans211000005501010000023-11100000032120.500581300553621375420412391226723284010110.00%5180.00%0673120455.90%607104158.31%27546359.40%810586640206373196
3Barracuda30100110910-1100000104312010010057-230.50091423005536213125420412391221033016588112.50%8275.00%0673120455.90%607104158.31%27546359.40%810586640206373196
4Bruins11000000532110000005320000000000021.00058130055362134542041239122186232500.00%10100.00%0673120455.90%607104158.31%27546359.40%810586640206373196
5Comets1010000023-1000000000001010000023-100.00024600553621328420412391223012423400.00%20100.00%0673120455.90%607104158.31%27546359.40%810586640206373196
6Condors1010000001-1000000000001010000001-100.00000000553621331420412391224111628300.00%30100.00%0673120455.90%607104158.31%27546359.40%810586640206373196
7Crunch1000000134-11000000134-10000000000010.500369005536213384204123912236811308112.50%3166.67%0673120455.90%607104158.31%27546359.40%810586640206373196
8Eagles2020000049-51010000035-21010000014-300.00047110055362138442041239122782410516116.67%4250.00%0673120455.90%607104158.31%27546359.40%810586640206373196
9Gulls20200000710-30000000000020200000710-300.000714210055362137242041239122922318333266.67%8362.50%0673120455.90%607104158.31%27546359.40%810586640206373196
10IceHogs1000010034-1000000000001000010034-110.50036900553621345420412391223394303133.33%2150.00%0673120455.90%607104158.31%27546359.40%810586640206373196
11Marlies1010000045-1000000000001010000045-100.00048120055362134142041239122217034100.00%000.00%0673120455.90%607104158.31%27546359.40%810586640206373196
12Moose11000000651000000000001100000065121.0006121800553621349420412391223171016500.00%4250.00%0673120455.90%607104158.31%27546359.40%810586640206373196
13Rocket211000008531010000012-11100000073420.50081422005536213874204123912278281954100.00%7185.71%0673120455.90%607104158.31%27546359.40%810586640206373196
14Senators1000010023-1000000000001000010023-110.50023500553621319420412391223112422100.00%20100.00%0673120455.90%607104158.31%27546359.40%810586640206373196
15Silver Knights220000001321122000000132110000000000041.0001325380055362131104204123912269271961200.00%70100.00%0673120455.90%607104158.31%27546359.40%810586640206373196
16Sound Tigers10001000431100010004310000000000021.00048120055362134942041239122474926400.00%2150.00%0673120455.90%607104158.31%27546359.40%810586640206373196
17Stars11000000312000000000001100000031221.0003690055362133142041239122281061222100.00%3166.67%0673120455.90%607104158.31%27546359.40%810586640206373196
18Thunderbirds21001000954000000000002100100095441.00091625005536213102420412391227727185811100.00%9188.89%0673120455.90%607104158.31%27546359.40%810586640206373196
19Wild11000000936000000000001100000093621.0009182700553621357420412391222150215240.00%000.00%0673120455.90%607104158.31%27546359.40%810586640206373196
20Wolf Pack11000000413110000004130000000000021.00048120055362133442041239122301310265240.00%5180.00%0673120455.90%607104158.31%27546359.40%810586640206373196
21Wranglers22000000743110000004221100000032141.000712190055362137142041239122481215454125.00%5260.00%0673120455.90%607104158.31%27546359.40%810586640206373196
Total301310023111158926115301011432815198701300726111360.6001152123270055362131240420412391221001305220724831518.07%831977.11%1673120455.90%607104158.31%27546359.40%810586640206373196
_Since Last GM Reset301310023111158926115301011432815198701300726111360.6001152123270055362131240420412391221001305220724831518.07%831977.11%1673120455.90%607104158.31%27546359.40%810586640206373196
_Vs Conference2097012108060205310001024121215660120056488240.6008014922900553621385242041239122673204137460481122.92%581475.86%1673120455.90%607104158.31%27546359.40%810586640206373196
_Vs Division952011004230121010000035-285101100392514130.722428012200553621341542041239122290895921224729.17%25772.00%1673120455.90%607104158.31%27546359.40%810586640206373196

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3036W11152123271240100130522072400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
301310231111589
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115310114328
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
198713007261
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
831518.07%831977.11%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
420412391225536213
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
673120455.90%607104158.31%27546359.40%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
810586640206373196


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-10-0918Roadrunners1Eagles4ALSommaire du match
5 - 2025-10-1132Roadrunners8Admirals3AWSommaire du match
7 - 2025-10-1348Roadrunners3IceHogs4ALXSommaire du match
9 - 2025-10-1560Wranglers2Roadrunners4BWSommaire du match
11 - 2025-10-1775Barracuda3Roadrunners4BWXXSommaire du match
13 - 2025-10-1992Bruins3Roadrunners5BWSommaire du match
15 - 2025-10-21107Eagles5Roadrunners3BLSommaire du match
17 - 2025-10-23117Roadrunners4Thunderbirds1AWSommaire du match
19 - 2025-10-25131Roadrunners9Wild3AWSommaire du match
20 - 2025-10-26143Roadrunners6Moose5AWSommaire du match
22 - 2025-10-28162Roadrunners0Condors1ALSommaire du match
27 - 2025-11-02194Crunch4Roadrunners3BLXXSommaire du match
29 - 2025-11-04203Roadrunners3Americans2AWSommaire du match
30 - 2025-11-05213Roadrunners4Marlies5ALSommaire du match
33 - 2025-11-08235Roadrunners7Rocket3AWSommaire du match
34 - 2025-11-09247Roadrunners2Senators3ALXSommaire du match
37 - 2025-11-12267Americans3Roadrunners2BLSommaire du match
39 - 2025-11-14282Sound Tigers3Roadrunners4BWXSommaire du match
42 - 2025-11-17306Roadrunners4Gulls6ALSommaire du match
43 - 2025-11-18314Roadrunners2Barracuda3ALSommaire du match
45 - 2025-11-20327Silver Knights1Roadrunners9BWSommaire du match
47 - 2025-11-22344Wolf Pack1Roadrunners4BWSommaire du match
49 - 2025-11-24358Silver Knights1Roadrunners4BWSommaire du match
51 - 2025-11-26372Rocket2Roadrunners1BLSommaire du match
53 - 2025-11-28390Roadrunners3Stars1AWSommaire du match
54 - 2025-11-29398Roadrunners5Thunderbirds4AWXSommaire du match
56 - 2025-12-01410Roadrunners3Barracuda4ALXSommaire du match
58 - 2025-12-03424Roadrunners3Gulls4ALSommaire du match
60 - 2025-12-05439Roadrunners2Comets3ALSommaire du match
61 - 2025-12-06448Roadrunners3Wranglers2AWSommaire du match
63 - 2025-12-08462Reign-Roadrunners-
65 - 2025-12-10478Checkers-Roadrunners-
67 - 2025-12-12494Firebirds-Roadrunners-
69 - 2025-12-14509Roadrunners-Penguins-
71 - 2025-12-16519Roadrunners-Bruins-
72 - 2025-12-17530Roadrunners-Griffins-
74 - 2025-12-19547Devils-Roadrunners-
76 - 2025-12-21569Moose-Roadrunners-
78 - 2025-12-23584Roadrunners-Eagles-
84 - 2025-12-29612Admirals-Roadrunners-
87 - 2026-01-01633Roadrunners-Sound Tigers-
89 - 2026-01-03645Roadrunners-Devils-
91 - 2026-01-05662Roadrunners-Wolf Pack-
93 - 2026-01-07680Senators-Roadrunners-
95 - 2026-01-09696Thunderbirds-Roadrunners-
97 - 2026-01-11714Monsters-Roadrunners-
99 - 2026-01-13733Marlies-Roadrunners-
101 - 2026-01-15746Stars-Roadrunners-
103 - 2026-01-17757Firebirds-Roadrunners-
107 - 2026-01-21790Phantoms-Roadrunners-
110 - 2026-01-24811Roadrunners-Admirals-
112 - 2026-01-26825Roadrunners-Crunch-
113 - 2026-01-27834Roadrunners-Checkers-
115 - 2026-01-29850Roadrunners-Wolves-
117 - 2026-01-31870Stars-Roadrunners-
119 - 2026-02-02884Comets-Roadrunners-
121 - 2026-02-04898Griffins-Roadrunners-
142 - 2026-02-25914Eagles-Roadrunners-
144 - 2026-02-27932Wild-Roadrunners-
146 - 2026-03-01948IceHogs-Roadrunners-
148 - 2026-03-03962Roadrunners-Bears-
150 - 2026-03-05976Roadrunners-Phantoms-
152 - 2026-03-07995Roadrunners-Monsters-
154 - 2026-03-091010Roadrunners-IceHogs-
155 - 2026-03-101021Roadrunners-Wild-
157 - 2026-03-121037IceHogs-Roadrunners-
159 - 2026-03-141054Penguins-Roadrunners-
161 - 2026-03-161066Roadrunners-Stars-
164 - 2026-03-191091Roadrunners-Silver Knights-
165 - 2026-03-201098Gulls-Roadrunners-
167 - 2026-03-221118Reign-Roadrunners-
169 - 2026-03-241133Condors-Roadrunners-
171 - 2026-03-261146Bears-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281164Roadrunners-Reign-
178 - 2026-04-021203Roadrunners-Firebirds-
180 - 2026-04-041216Roadrunners-Comets-
183 - 2026-04-071241Condors-Roadrunners-
185 - 2026-04-091257Admirals-Roadrunners-
187 - 2026-04-111269Wolves-Roadrunners-
188 - 2026-04-121281Roadrunners-Wranglers-
190 - 2026-04-141297Moose-Roadrunners-
192 - 2026-04-161309Thunderbirds-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance20,10110,109
Assistance PCT91.37%91.90%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-1 2746 - 91.55% 94,718$1,041,903$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
945,953$ 2,313,650$ 2,313,650$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 783,559$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-94,718$ 131 14,654$ 1,919,674$




Roadrunners Leaders statistiques (saison régulière)

# Nom du joueur 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
1Shakir Mukhamadullin10613627531622341091657.88%141218520.6241317770003100.00%00.6900
2Brett Leason82393473-62012723337710.34%47186522.756101667112104447.17%20.7803
3Denis Gurianov77304272-13216817028710.45%14176622.9459144611265050.71%00.8213
4Brad Lambert1042247693130721892439.05%12155414.9564103400013053.29%00.8912
5Simon Nemec931355682561391541518.61%157219523.614913650112300.00%00.6200

Roadrunners Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Joel Blomqvist76392670.9112.9043308120923610200.69213
2Leevi Merilainen43231610.8943.4624300014013240231.0009

Roadrunners Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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
Saison régulière
20248238320533128826523412016022101461252141181603121142140296288502790311059778112963955946103048268782455219922745720.80%2325476.72%21576311150.66%1412289548.77%670138448.41%2052144218455951054534
2025301310023111158926115301011432815198701300726111361152123270055362131240420412391221001305220724831518.07%831977.11%1673120455.90%607104158.31%27546359.40%810586640206373196
Total Saison régulière112514207642403354495225190322118915336602623044212142011313240371411173116013399144203137513581421703688112977227163577220.17%3157376.83%32249431552.12%2019393651.30%945184751.16%2862202824858011428730
Séries éliminatoires
20241266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
Total Séries éliminatoires1266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380

Roadrunners Leaders statistiques (séries éliminatoires)

# Nom du joueur 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
1Jonny Brodzinski125813-4121643549.26%224020.051341000000156.12%01.0800
2Filip Zadina1257123413143813.16%325020.85022400001025.00%00.9600
3Denis Gurianov125712-142717588.62%532026.692241000011052.63%00.7500
4Brett Leason124711402346508.00%729624.69022700001042.82%00.7400
5Arthur Kaliyev124610-401423488.33%224420.34224800020044.44%00.8200

Roadrunners Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Joel Blomqvist126410.8893.5166720393510000.0000
2Leevi Merilainen30100.9232.7986004520000.0000