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Roadrunners
GP: 36 | W: 17 | L: 16 | OTL: 3 | P: 37
GF: 181 | GA: 197 | PP%: 51.22% | PK%: 58.62%
DG: Maxime Pigeon-Gosselin | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #547 vs Spiders

Centre de jeu
Roadrunners
17-16-3, 37pts
9
FINAL
5 Bruins
20-13-2, 42pts
Team Stats
W3SéquenceW1
8-6-0Fiche domicile11-7-0
9-10-3Fiche domicile9-6-2
6-2-2Derniers 10 matchs5-4-1
5.03Buts par match 3.97
5.47Buts contre par match 4.03
51.22%Pourcentage en avantage numérique38.20%
58.62%Pourcentage en désavantage numérique65.85%
Roadrunners
17-16-3, 37pts
8
FINAL
7 Cougars
10-20-5, 25pts
Team Stats
W3SéquenceSOL1
8-6-0Fiche domicile5-10-3
9-10-3Fiche domicile5-10-2
6-2-2Derniers 10 matchs2-7-1
5.03Buts par match 3.97
5.47Buts contre par match 5.51
51.22%Pourcentage en avantage numérique35.42%
58.62%Pourcentage en désavantage numérique64.56%
Spiders
25-5-4, 54pts
2025-12-19
Roadrunners
17-16-3, 37pts
Statistiques d’équipe
W7SéquenceW3
13-2-2Fiche domicile8-6-0
12-3-2Fiche visiteur9-10-3
8-2-010 derniers matchs6-2-2
5.35Buts par match 5.03
3.82Buts contre par match 5.03
27.62%Pourcentage en avantage numérique51.22%
65.71%Pourcentage en désavantage numérique58.62%
Oceanics
22-9-2, 46pts
2025-12-21
Roadrunners
17-16-3, 37pts
Statistiques d’équipe
W4SéquenceW3
10-4-2Fiche domicile8-6-0
12-5-0Fiche visiteur9-10-3
9-1-010 derniers matchs6-2-2
5.67Buts par match 5.03
4.00Buts contre par match 5.03
33.05%Pourcentage en avantage numérique51.22%
77.01%Pourcentage en désavantage numérique58.62%
Roadrunners
17-16-3, 37pts
2025-12-23
Monsters
21-8-4, 46pts
Statistiques d’équipe
W3SéquenceL3
8-6-0Fiche domicile7-4-4
9-10-3Fiche visiteur14-4-0
6-2-210 derniers matchs5-3-2
5.03Buts par match 4.88
5.47Buts contre par match 4.88
51.22%Pourcentage en avantage numérique44.44%
58.62%Pourcentage en désavantage numérique72.22%
Meneurs d'équipe
Buts
Gavin Hayes
21
Passes
Sasha Pastujov
18
Points
Gavin Hayes
37
Plus/Moins
Jaroslav Chmelar
7
Victoires
Isak Posch
12
Pourcentage d’arrêts
Remi Poirier
0.872

Statistiques d’équipe
Buts pour
181
5.03 GFG
Tirs pour
1148
31.89 Avg
Pourcentage en avantage numérique
51.2%
42 GF
Début de zone offensive
34.6%
Buts contre
197
5.47 GAA
Tirs contre
985
27.36 Avg
Pourcentage en désavantage numérique
58.6%%
48 GA
Début de la zone défensive
30.0%
Informations de l'équipe

Directeur généralMaxime Pigeon-Gosselin
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,896
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure22
Limite contact 47 / 50
Espoirs22


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
1Raphael Lavoie (R)XX100.00624465646765636444586156635250050600241870,000$
2Quinn Hutson (R)X100.00564069696975596240595959645150050600223875,000$
3Sasha Pastujov (R)X100.00604172656461596343625857625050050590212825,000$
4Brendan Brisson (R)XXX100.00564465646464626343615653615150050580221925,000$
5Alex Jefferies (R)X100.00564171636463616142575652605150050570222867,500$
6Gavin Hayes (R)X100.00594168626161595941565456585050050570203865,000$
7Jaroslav Chmelar (R)X100.0058426358686261614260575358505005057N0211900,000$
8Cole McWard (R)X100.00634173676767636540615767635250050630232900,000$
9Max Szuber (R)X100.00634465676564626440635767635050050620222859,167$
10Ville Ottavainen (R)X100.00684367637164626440595667615050050620222867,500$
11Kirill Kudryavtsev (R)X100.00644167646261606140615666615050050610203825,000$
12Ryan Ufko (R)X100.00594169676063626240615964635050050610213925,000$
13Elias Salomonsson (R)X100.00604167626258566140615663605050050590203815,000$
Rayé
1Jacob Peterson (R)XX100.0055427267626057586055525760525005057N0251620,000$
2Paul Ludwinski (R)X100.00594166616161605841545554585050050560203900,000$
3Joe PavelskiX100.001920202020181819201818201920200502204017,000,000$
4Dmitry Kuzmin (R)X100.00574170656161595840535460595050050580212795,556$
5Ty Gallagher (R)X100.00604066626158575640545461575050050580213620,000$
6Jakub Dvorak (R)X100.00624165586758565740545359565050050570193840,000$
7Daniil Pylenkov (R)X100.00373737373737373737373737373737050380243620,000$
MOYENNE D’ÉQUIPE100.0057406460615957584155535657484805056
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
1Isak Posch (R)100.005957576659575654575854515005053N0221900,000$
Rayé
1Remi Poirier (R)100.0071626667697073707168585150050630221836,667$
2Vyacheslav Buteyets (R)100.005857576759565654565854515005053N0221900,000$
3Hunter Jones100.0057545368585454485455475146050510241900,000$
4Lukas Parik (R)100.0038374478393842403737374434050410231700,000$
MOYENNE D’ÉQUIPE100.005753556957555653555550504605052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Gavin HayesRoadrunners (Uta)LW22211637-152410341376133127.63%1237216.951612283651000023034.38%321410021.9800020222
2Jaroslav ChmelarRoadrunners (Uta)RW22201333732103020107277718.69%640818.5900001000001045.05%1112912021.6113100343
3Sasha PastujovRoadrunners (Uta)RW22101828-43010293712645727.94%1647421.5501124000002147.38%3822311001.1811110110
4Alex JefferiesRoadrunners (Uta)LW22111324-695392597255011.34%1950222.84303716000001049.04%1041814000.9600010210
5Torey KrugUtahD1851621023527305417199.26%1647826.573691040000024100%0818000.8800010100
6Raphael LavoieRoadrunners (Uta)C/RW22101121-195341659264416.95%634015.48044517000071054.69%64106001.2323100042
7Ville OttavainenRoadrunners (Uta)D13416204382024214519238.89%1935227.143811922011627000%0820001.1300202121
8Max SzuberRoadrunners (Uta)D2201717-15261024265823220%1442619.400551170001190047.37%191622000.8000011010
9Ryan UfkoRoadrunners (Uta)D2211617-78023203514302.86%1437917.24134217000120000%0821000.9000000001
10Kirill KudryavtsevRoadrunners (Uta)D2201616-2201021173412240%1637517.0901102000010085.71%7719000.8500200111
11Quinn HutsonRoadrunners (Uta)RW77613-655683181222.58%713619.46347717000040046.67%1565001.9100001002
12Cam LundUtahC46410220581910731.58%08220.7311231000170057.14%4233022.4100000200
13Elias SalomonssonRoadrunners (Uta)D222686115141232996.25%1828012.770000100018100%049000.5700100101
14Sam RinzelUtahD7077-1005714640%919728.24033310000316000%11115000.7100000001
15Gage GoncalvesUtahC/RW2213-1001280125.00%14623.3110113000020062.00%5021001.2900000001
16Paul LudwinskiRoadrunners (Uta)C7123-424104121550.00%29213.2200000000020051.35%3722000.6500100000
Statistiques d’équipe totales ou en moyenne256100178278-4326110532026379725543012.55%175494919.33314879862290111314710149.07%864169188061.1247964141615
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
1Isak PoschRoadrunners (Uta)2012520.8145.3411024098528275100.57172022000
2Remi PoirierRoadrunners (Uta)21010.8723.001200064725000020000
Statistiques d’équipe totales ou en moyenne2213530.8195.111222401045753001072222000


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex JefferiesRoadrunners (Uta)LW222001-11-08USAYes194 Lbs6 ft0NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Brendan BrissonRoadrunners (Uta)C/LW/RW222001-10-22USAYes192 Lbs6 ft1NoNoTrade2025-02-15NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Cole McWard (contrat à 1 volet)Roadrunners (Uta)D232001-06-09USAYes205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Daniil PylenkovRoadrunners (Uta)D242000-09-26RUSYes196 Lbs6 ft1NoNoProspectNoYes32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Dmitry KuzminRoadrunners (Uta)D212003-04-23BELYes181 Lbs5 ft10NoNoProspectNoNo22024-06-25FalseFalsePro & Farm795,556$0$0$No795,556$--------795,556$--------No--------Lien
Elias SalomonssonRoadrunners (Uta)D202004-08-31SWEYes190 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm815,000$0$0$No815,000$815,000$-------815,000$815,000$-------NoNo-------Lien
Gavin HayesRoadrunners (Uta)LW202004-05-14USAYes176 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Hunter JonesRoadrunners (Uta)G242000-09-21CANNo205 Lbs6 ft4NoNoFree AgentNoYes12024-09-06FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Isak PoschRoadrunners (Uta)G222002-01-31SWEYes209 Lbs6 ft3YesNoFree AgentNoNo12025-09-14FalseFalsePro & Farm900,000$0$0$No---------872,500$872,500$----------------Lien
Jacob Peterson (contrat à 1 volet)Roadrunners (Uta)C/LW251999-07-19SWEYes170 Lbs6 ft1YesNoFree AgentYesYes12025-11-24FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jakub DvorakRoadrunners (Uta)D192005-05-25CZEYes209 Lbs6 ft5NoNoDraftNoNo32025-07-10FalseFalsePro & Farm840,000$0$0$No840,000$840,000$-------840,000$840,000$-------NoNo-------Lien
Jaroslav Chmelar (contrat à 1 volet)Roadrunners (Uta)RW212003-07-20CZEYes220 Lbs6 ft5YesNoFree AgentNoNo12025-09-28FalseFalsePro & Farm900,000$0$0$No---------867,500$867,500$----------------Lien
Joe Pavelski (contrat à 1 volet)Roadrunners (Uta)RW401984-07-11USANo196 Lbs6 ft1NoNoTrade2025-07-16YesYes1FalseFalsePro & Farm7,000,000$6,080,000$3,780,311$No---------------------------Lien
Kirill KudryavtsevRoadrunners (Uta)D202004-02-05RUSYes201 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Lukas ParikRoadrunners (Uta)G232001-03-15CZEYes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Max SzuberRoadrunners (Uta)D222002-08-25GERYes190 Lbs6 ft3NoNoDraftNoNo22024-06-25FalseFalsePro & Farm859,167$0$0$No859,167$--------859,167$--------No--------Lien
Paul LudwinskiRoadrunners (Uta)C202004-04-23CANYes185 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Quinn HutsonRoadrunners (Uta)RW222002-01-01USAYes170 Lbs5 ft11NoNoDraftNoNo32025-07-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Raphael LavoieRoadrunners (Uta)C/RW242000-09-25CANYes196 Lbs6 ft4NoNoFree AgentNoYes12024-08-31FalseFalsePro & Farm870,000$0$0$No---------------------------Lien
Remi PoirierRoadrunners (Uta)G222001-10-06CANYes201 Lbs6 ft2NoNoTrade2025-07-16NoNo1FalseFalsePro & Farm836,667$0$0$No---------------------------Lien
Ryan UfkoRoadrunners (Uta)D212003-05-07USAYes181 Lbs5 ft10NoNoProspectNoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Sasha PastujovRoadrunners (Uta)RW212003-07-15USAYes187 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Ty GallagherRoadrunners (Uta)D212003-03-06USAYes187 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Ville OttavainenRoadrunners (Uta)D222002-08-12FINYes216 Lbs6 ft5NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Lien
Vyacheslav Buteyets (contrat à 1 volet)Roadrunners (Uta)G222002-05-29RUSYes209 Lbs6 ft5YesNoFree AgentNoNo12025-09-28FalseFalsePro & Farm900,000$0$0$No---------852,500$852,500$----------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.52194 Lbs6 ft21.961,078,056$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gavin Hayes40122
2Alex JefferiesRaphael Lavoie30122
3Sasha Pastujov20122
4Jaroslav Chmelar10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Max SzuberRyan Ufko30122
3Kirill KudryavtsevElias Salomonsson20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gavin Hayes60122
2Alex JefferiesRaphael Lavoie40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Max SzuberRyan Ufko40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Raphael Lavoie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Max SzuberRyan Ufko40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Max SzuberRyan Ufko40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Raphael Lavoie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Max SzuberRyan Ufko40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gavin Hayes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gavin Hayes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sasha Pastujov, Jaroslav Chmelar, Sasha Pastujov, Jaroslav Chmelar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kirill Kudryavtsev, Elias Salomonsson, Max SzuberKirill KudryavtsevElias Salomonsson, Max Szuber
Tirs de pénalité
, , , Raphael Lavoie, Sasha Pastujov
Gardien
#1 : , #2 : Isak Posch


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
1Admirals201010001011-100000000000201010001011-120.50010172710396573683333414389197227103433100.00%5180.00%032569946.49%28360546.78%31471443.98%820523744323619287
2Baby Hawks1010000025-3000000000001010000025-300.00024600396573616333414389192917413300.00%2150.00%032569946.49%28360546.78%31471443.98%820523744323619287
3Bruins2200000016610110000007161100000095441.000162945003965736653334143891948132234125.00%10100.00%032569946.49%28360546.78%31471443.98%820523744323619287
4Cabaret Lady Mary Ann11000000642110000006420000000000021.0006121800396573642333414389191994203266.67%20100.00%032569946.49%28360546.78%31471443.98%820523744323619287
5Chiefs21100000910-10000000000021100000910-120.500917260039657367033341438919531428283266.67%9277.78%032569946.49%28360546.78%31471443.98%820523744323619287
6Comets1000010056-1000000000001000010056-110.500581300396573645333414389192970173133.33%000%032569946.49%28360546.78%31471443.98%820523744323619287
7Cougars10000010871000000000001000001087121.00081321003965736473334143891939119172150.00%220.00%032569946.49%28360546.78%31471443.98%820523744323619287
8Crunch21100000131031100000012571010000015-420.5001326390039657367433341438919381229189777.78%7271.43%032569946.49%28360546.78%31471443.98%820523744323619287
9Firebirds1010000045-11010000045-10000000000000.0004711003965736353334143891933516114125.00%8450.00%032569946.49%28360546.78%31471443.98%820523744323619287
10Heat211000001014-41010000039-61100000075220.50010192900396573674333414389196117262511100.00%8537.50%032569946.49%28360546.78%31471443.98%820523744323619287
11Jayhawks1010000025-3000000000001010000025-300.0002460039657367333414389192446113266.67%3166.67%032569946.49%28360546.78%31471443.98%820523744323619287
12Las Vegas211000001411321100000141130000000000020.5001426400039657366733341438919501270387571.43%7528.57%032569946.49%28360546.78%31471443.98%820523744323619287
13Manchots11000000936000000000001100000093621.000916250039657364333341438919221614194375.00%20100.00%032569946.49%28360546.78%31471443.98%820523744323619287
14Marlies1010000027-5000000000001010000027-500.00024600396573617333414389192981816000%4250.00%032569946.49%28360546.78%31471443.98%820523744323619287
15Minnesota10001000541000000000001000100054121.00059140039657361833341438919214816200.00%4175.00%132569946.49%28360546.78%31471443.98%820523744323619287
16Monarchs11000000651110000006510000000000021.0006915003965736323334143891924172123266.67%10100.00%132569946.49%28360546.78%31471443.98%820523744323619287
17Monsters20200000419-151010000038-510100000111-1000.00048120039657364333341438919621781202150.00%13746.15%032569946.49%28360546.78%31471443.98%820523744323619287
18Oceanics1010000039-6000000000001010000039-600.00035800396573619333414389193485510200.00%10460.00%032569946.49%28360546.78%31471443.98%820523744323619287
19Oil Kings11000000541000000000001100000054121.000591400396573633333414389191736163133.33%3166.67%032569946.49%28360546.78%31471443.98%820523744323619287
20Rocket210000101385100000107611100000062441.000131932003965736613334143891950929418562.50%7271.43%232569946.49%28360546.78%31471443.98%820523744323619287
21Sags31100001181801100000096320100001912-330.50018314900396573611033341438919913322646233.33%6350.00%032569946.49%28360546.78%31471443.98%820523744323619287
22Senators1000010034-1000000000001000010034-110.5003690039657361433341438919268017100.00%000%032569946.49%28360546.78%31471443.98%820523744323619287
23Sound Tigers1010000029-71010000029-70000000000000.00023500396573629333414389193814262311100.00%3166.67%032569946.49%28360546.78%31471443.98%820523744323619287
24Stars1010000035-2000000000001010000035-200.00036900396573630333414389192881930000%4325.00%032569946.49%28360546.78%31471443.98%820523744323619287
25Thunder1010000034-11010000034-10000000000000.00036900396573621333414389192215812200.00%4175.00%032569946.49%28360546.78%31471443.98%820523744323619287
26Wolf Pack11000000642110000006420000000000021.0006101600396573653333414389192682323133.33%10100.00%032569946.49%28360546.78%31471443.98%820523744323619287
Total36131602221181197-1614760001082775226100221199120-21370.514181323504103965736114833341438919985316494583824251.22%1164858.62%432569946.49%28360546.78%31471443.98%820523744323619287
_Since Last GM Reset36131602221181197-1614760001082775226100221199120-21370.514181323504103965736114833341438919985316494583824251.22%1164858.62%432569946.49%28360546.78%31471443.98%820523744323619287
_Vs Conference1566011017880-26420000033294924011014551-6160.5337813621410396573648633341438919432167159262291344.83%371267.57%132569946.49%28360546.78%31471443.98%820523744323619287
_Vs Division11430000164501453000000352015613000012930-190.40964115179003965736341333414389192718599164291655.17%27966.67%232569946.49%28360546.78%31471443.98%820523744323619287

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3637W3181323504114898531649458310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3613162221181197
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
147600108277
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
22610221199120
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
824251.22%1164858.62%4
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
333414389193965736
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
32569946.49%28360546.78%31471443.98%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
820523744323619287


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 - 2025-10-0918Roadrunners1Monsters11LSommaire du match
5 - 2025-10-1132Roadrunners2Jayhawks5LSommaire du match
7 - 2025-10-1348Roadrunners2Baby Hawks5LSommaire du match
9 - 2025-10-1560Heat9Roadrunners3LSommaire du match
11 - 2025-10-1775Sags6Roadrunners9WSommaire du match
13 - 2025-10-1992Bruins1Roadrunners7WSommaire du match
15 - 2025-10-21107Monsters8Roadrunners3LSommaire du match
17 - 2025-10-23117Roadrunners2Chiefs7LSommaire du match
19 - 2025-10-25131Roadrunners5Minnesota4WXSommaire du match
20 - 2025-10-26143Roadrunners3Oceanics9LSommaire du match
22 - 2025-10-28162Roadrunners5Oil Kings4WSommaire du match
27 - 2025-11-02194Thunder4Roadrunners3LSommaire du match
29 - 2025-11-04203Roadrunners1Crunch5LSommaire du match
30 - 2025-11-05213Roadrunners2Marlies7LSommaire du match
33 - 2025-11-08235Roadrunners6Rocket2WSommaire du match
34 - 2025-11-09247Roadrunners3Senators4LXSommaire du match
37 - 2025-11-12267Crunch5Roadrunners12WSommaire du match
39 - 2025-11-14282Sound Tigers9Roadrunners2LSommaire du match
42 - 2025-11-17306Roadrunners7Admirals6WXSommaire du match
43 - 2025-11-18314Roadrunners4Sags6LSommaire du match
45 - 2025-11-20327Las Vegas6Roadrunners4LSommaire du match
47 - 2025-11-22344Wolf Pack4Roadrunners6WSommaire du match
49 - 2025-11-24358Las Vegas5Roadrunners10WSommaire du match
51 - 2025-11-26372Rocket6Roadrunners7WXXSommaire du match
53 - 2025-11-28390Roadrunners3Stars5LSommaire du match
54 - 2025-11-29398Roadrunners7Chiefs3WSommaire du match
56 - 2025-12-01410Roadrunners5Sags6LXXSommaire du match
58 - 2025-12-03424Roadrunners3Admirals5LSommaire du match
60 - 2025-12-05439Roadrunners5Comets6LXSommaire du match
61 - 2025-12-06448Roadrunners7Heat5WSommaire du match
63 - 2025-12-08462Monarchs5Roadrunners6WSommaire du match
65 - 2025-12-10478Cabaret Lady Mary Ann4Roadrunners6WSommaire du match
67 - 2025-12-12494Firebirds5Roadrunners4LSommaire du match
69 - 2025-12-14509Roadrunners9Manchots3WSommaire du match
71 - 2025-12-16519Roadrunners9Bruins5WSommaire du match
72 - 2025-12-17530Roadrunners8Cougars7WXXSommaire du match
74 - 2025-12-19547Spiders-Roadrunners-
76 - 2025-12-21569Oceanics-Roadrunners-
78 - 2025-12-23584Roadrunners-Monsters-
84 - 2025-12-29612Jayhawks-Roadrunners-
87 - 2026-01-01633Roadrunners-Sound Tigers-
89 - 2026-01-03645Roadrunners-Spiders-
91 - 2026-01-05662Roadrunners-Wolf Pack-
93 - 2026-01-07680Senators-Roadrunners-
95 - 2026-01-09696Chiefs-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-Jayhawks-
112 - 2026-01-26825Roadrunners-Thunder-
113 - 2026-01-27834Roadrunners-Cabaret Lady Mary Ann-
115 - 2026-01-29851Roadrunners-Caroline-
117 - 2026-01-31870Stars-Roadrunners-
119 - 2026-02-02884Comets-Roadrunners-
121 - 2026-02-04898Cougars-Roadrunners-
142 - 2026-02-25914Monsters-Roadrunners-
144 - 2026-02-27932Minnesota-Roadrunners-
146 - 2026-03-01949Baby Hawks-Roadrunners-
148 - 2026-03-03962Roadrunners-Bears-
150 - 2026-03-05976Roadrunners-Phantoms-
152 - 2026-03-07995Roadrunners-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
154 - 2026-03-091010Roadrunners-Baby Hawks-
155 - 2026-03-101021Roadrunners-Minnesota-
157 - 2026-03-121037Baby Hawks-Roadrunners-
159 - 2026-03-141054Manchots-Roadrunners-
161 - 2026-03-161066Roadrunners-Stars-
164 - 2026-03-191091Roadrunners-Las Vegas-
165 - 2026-03-201098Admirals-Roadrunners-
167 - 2026-03-221118Monarchs-Roadrunners-
169 - 2026-03-241132Oil Kings-Roadrunners-
171 - 2026-03-261146Bears-Roadrunners-
173 - 2026-03-281164Roadrunners-Monarchs-
178 - 2026-04-021203Roadrunners-Firebirds-
180 - 2026-04-041216Roadrunners-Comets-
183 - 2026-04-071241Oil Kings-Roadrunners-
185 - 2026-04-091257Jayhawks-Roadrunners-
187 - 2026-04-111269Caroline-Roadrunners-
188 - 2026-04-121281Roadrunners-Heat-
190 - 2026-04-141297Oceanics-Roadrunners-
192 - 2026-04-161309Chiefs-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,00913,538
Assistance PCT96.46%96.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-11 2896 - 96.54% 98,433$1,378,062$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
690,743$ 1,663,140$ 1,663,140$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,617$ 690,743$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,657,691$ 120 8,617$ 1,034,040$




Roadrunners Leaders statistiques des joueurs (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

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

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

Roadrunners Leaders statistiques des joueurs (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

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