Please rotate your device to landscape mode for a better experience.
Connexion

Roadrunners
GP: 28 | W: 11 | L: 15 | OTL: 2 | P: 24
GF: 127 | GA: 157 | PP%: 51.67% | PK%: 57.73%
DG: Maxime Pigeon-Gosselin | Morale : 50 | Moyenne d’équipe : 55
Prochains matchs #439 vs Comets

Centre de jeu
Roadrunners
11-15-2, 24pts
5
FINAL
6 Sags
18-7-3, 39pts
Team Stats
L1SéquenceW2
6-5-0Fiche domicile12-3-2
5-10-2Fiche domicile6-4-1
5-4-1Derniers 10 matchs6-3-1
4.54Buts par match 4.39
5.61Buts contre par match 3.68
51.67%Pourcentage en avantage numérique26.87%
57.73%Pourcentage en désavantage numérique67.21%
Roadrunners
11-15-2, 24pts
3
FINAL
5 Admirals
18-7-2, 38pts
Team Stats
L1SéquenceW1
6-5-0Fiche domicile11-1-1
5-10-2Fiche domicile7-6-1
5-4-1Derniers 10 matchs7-2-1
4.54Buts par match 5.07
5.61Buts contre par match 3.70
51.67%Pourcentage en avantage numérique47.87%
57.73%Pourcentage en désavantage numérique67.69%
Roadrunners
11-15-2, 24pts
2025-12-05
Comets
15-11-1, 31pts
Statistiques d’équipe
L1SéquenceW2
6-5-0Fiche domicile5-5-1
5-10-2Fiche visiteur10-6-0
5-4-110 derniers matchs7-3-0
4.54Buts par match 4.44
5.61Buts contre par match 4.44
51.67%Pourcentage en avantage numérique56.25%
57.73%Pourcentage en désavantage numérique75.44%
Roadrunners
11-15-2, 24pts
2025-12-06
Heat
12-14-2, 26pts
Statistiques d’équipe
L1SéquenceL1
6-5-0Fiche domicile5-4-1
5-10-2Fiche visiteur7-10-1
5-4-110 derniers matchs4-5-1
4.54Buts par match 5.14
5.61Buts contre par match 5.14
51.67%Pourcentage en avantage numérique48.53%
57.73%Pourcentage en désavantage numérique60.71%
Monarchs
8-16-2, 18pts
2025-12-08
Roadrunners
11-15-2, 24pts
Statistiques d’équipe
L1SéquenceL1
2-8-1Fiche domicile6-5-0
6-8-1Fiche visiteur5-10-2
2-6-210 derniers matchs5-4-1
3.69Buts par match 4.54
5.54Buts contre par match 4.54
15.85%Pourcentage en avantage numérique51.67%
58.75%Pourcentage en désavantage numérique57.73%
Meneurs d'équipe
Buts
Gavin Hayes
13
Passes
Ville Ottavainen
16
Points
Gavin Hayes
24
Plus/Moins
Ville Ottavainen
4
Victoires
Isak Posch
6
Pourcentage d’arrêts
Remi Poirier
0.872

Statistiques d’équipe
Buts pour
127
4.54 GFG
Tirs pour
810
28.93 Avg
Pourcentage en avantage numérique
51.7%
31 GF
Début de zone offensive
34.1%
Buts contre
157
5.61 GAA
Tirs contre
763
27.25 Avg
Pourcentage en désavantage numérique
57.7%%
41 GA
Début de la zone défensive
30.1%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,903
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure23
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$
3Brendan Brisson (R)XXX100.00564465646464626343615653615150050590221925,000$
4Sasha Pastujov (R)X100.00604172656461596343625857625050050590212825,000$
5Alex Jefferies (R)X100.00564171636463616142575652605150050570222867,500$
6Gavin Hayes (R)X100.00594168626161595941565456585050050570203865,000$
7Jaroslav Chmelar (R)X100.0058426358686261614260575358505005057N0211900,000$
8Ville Ottavainen (R)X98.00684367637164626440595667615050050630222867,500$
9Max Szuber (R)X100.00634465676564626440635767635050050620222859,167$
10Kirill Kudryavtsev (R)X100.00644167646261606140615666615050050610203825,000$
11Ryan Ufko (R)X100.00594169676063626240615964635050050610213925,000$
12Elias 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’ÉQUIPE99.8956406360605956574155535657484805056
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)LW14131124-9161023104561628.89%724017.17109192127000022028.57%2156022.0000020111
2Torey KrugUtahD1851621023527305417199.26%1647826.573691040000024100%0818000.8800010100
3Ville OttavainenUtahD13416204382024214519238.89%1935227.143811922011627000%0820001.1300202121
4Sasha PastujovRoadrunners (Uta)RW1441216-5241021225630407.14%728420.2901123000001147.29%203177001.1300110000
5Alex JefferiesRoadrunners (Uta)LW146814-895281452162711.54%1130822.0620259000000050.00%10055000.9100010010
6Raphael LavoieRoadrunners (Uta)C/RW14671302020836173116.67%221815.62022510000071055.56%3663001.1912000030
7Max SzuberRoadrunners (Uta)D1401313-12261017183716120%1128120.120551170001190046.15%131217000.9200011010
8Jaroslav ChmelarRoadrunners (Uta)RW1467133235171250184712.00%423616.8900001000000045.10%51139011.1012000111
9Quinn HutsonRoadrunners (Uta)RW77613-655683181222.58%713619.46347717000040046.67%1565001.9100001002
10Ryan UfkoRoadrunners (Uta)D1411112-7201918289233.57%926619.01134217000120000%0717000.9000000001
11Cam LundUtahC46410220581910731.58%08220.7311231000170057.14%4233022.4100000200
12Sam RinzelUtahD7077-1005714640%919728.24033310000316000%11115000.7100000001
13Elias SalomonssonRoadrunners (Uta)D1415619510924764.17%1419113.710000100018100%037000.6300100100
14Kirill KudryavtsevRoadrunners (Uta)D14055-611514916580%721115.08011020000100100.00%5312000.4700100101
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 moyenne18462131193-492149024119751718528111.99%126362619.7124436769189011131466150.00%574111147051.0624664899
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)126410.8105.666152058306166100.50041214000
2Remi PoirierRoadrunners (Uta)21010.8723.001200064725000020000
Statistiques d’équipe totales ou en moyenne147420.8195.2273520643531911041414000


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 BrissonUtahC/LW/RW222001-10-22USAYes192 Lbs6 ft1NoNoTrade2025-02-15NoNo1FalseFalsePro & Farm925,000$925,000$647,021$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$4,252,850$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 OttavainenUtahD222002-08-12FINYes216 Lbs6 ft5NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$867,500$606,801$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
2422.50194 Lbs6 ft21.961,085,475$



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
1Admirals201010001011-100000000000201010001011-120.50010172710333952483226277295167227103433100.00%5180.00%024852247.51%21246145.99%23454742.78%622391589254485222
2Baby Hawks1010000025-3000000000001010000025-300.00024600333952416226277295162917413300.00%2150.00%024852247.51%21246145.99%23454742.78%622391589254485222
3Bruins11000000716110000007160000000000021.00071320003339524232262772951622805100.00%000%024852247.51%21246145.99%23454742.78%622391589254485222
4Chiefs21100000910-10000000000021100000910-120.500917260033395247022627729516531428283266.67%9277.78%024852247.51%21246145.99%23454742.78%622391589254485222
5Crunch21100000131031100000012571010000015-420.5001326390033395247422627729516381229189777.78%7271.43%024852247.51%21246145.99%23454742.78%622391589254485222
6Heat1010000039-61010000039-60000000000000.00036900333952422226277295163111201811100.00%5420.00%024852247.51%21246145.99%23454742.78%622391589254485222
7Jayhawks1010000025-3000000000001010000025-300.0002460033395247226277295162446113266.67%3166.67%024852247.51%21246145.99%23454742.78%622391589254485222
8Las Vegas211000001411321100000141130000000000020.5001426400033395246722627729516501270387571.43%7528.57%024852247.51%21246145.99%23454742.78%622391589254485222
9Marlies1010000027-5000000000001010000027-500.00024600333952417226277295162981816000%4250.00%024852247.51%21246145.99%23454742.78%622391589254485222
10Minnesota10001000541000000000001000100054121.00059140033395241822627729516214816200.00%4175.00%124852247.51%21246145.99%23454742.78%622391589254485222
11Monsters20200000419-151010000038-510100000111-1000.00048120033395244322627729516621781202150.00%13746.15%024852247.51%21246145.99%23454742.78%622391589254485222
12Oceanics1010000039-6000000000001010000039-600.00035800333952419226277295163485510200.00%10460.00%024852247.51%21246145.99%23454742.78%622391589254485222
13Oil Kings11000000541000000000001100000054121.000591400333952433226277295161736163133.33%3166.67%024852247.51%21246145.99%23454742.78%622391589254485222
14Rocket210000101385100000107611100000062441.000131932003339524612262772951650929418562.50%7271.43%224852247.51%21246145.99%23454742.78%622391589254485222
15Sags31100001181801100000096320100001912-330.50018314900333952411022627729516913322646233.33%6350.00%024852247.51%21246145.99%23454742.78%622391589254485222
16Senators1000010034-1000000000001000010034-110.5003690033395241422627729516268017100.00%000%024852247.51%21246145.99%23454742.78%622391589254485222
17Sound Tigers1010000029-71010000029-70000000000000.00023500333952429226277295163814262311100.00%3166.67%024852247.51%21246145.99%23454742.78%622391589254485222
18Stars1010000035-2000000000001010000035-200.00036900333952430226277295162881930000%4325.00%024852247.51%21246145.99%23454742.78%622391589254485222
19Thunder1010000034-11010000034-10000000000000.00036900333952421226277295162215812200.00%4175.00%024852247.51%21246145.99%23454742.78%622391589254485222
20Wolf Pack11000000642110000006420000000000021.0006101600333952453226277295162682323133.33%10100.00%024852247.51%21246145.99%23454742.78%622391589254485222
Total2881502111127157-301155000106663317310021016194-33240.42912722935610333952481022627729516763240441462603151.67%974157.73%324852247.51%21246145.99%23454742.78%622391589254485222
_Since Last GM Reset2881502111127157-301155000106663317310021016194-33240.42912722935610333952481022627729516763240441462603151.67%974157.73%324852247.51%21246145.99%23454742.78%622391589254485222
_Vs Conference1236011015467-135320000027243704011012743-16100.41754951491033395243692262772951636012914121319736.84%331263.64%024852247.51%21246145.99%23454742.78%622391589254485222
_Vs Division823000014134742000000291613403000011218-650.3134174115003339524210226277295161876084109211257.14%22768.18%224852247.51%21246145.99%23454742.78%622391589254485222

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2824L112722935681076324044146210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
288152111127157
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115500106663
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1731021016194
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
603151.67%974157.73%3
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
226277295163339524
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
24852247.51%21246145.99%23454742.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
622391589254485222


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 - 2025-12-05439Roadrunners-Comets-
61 - 2025-12-06448Roadrunners-Heat-
63 - 2025-12-08462Monarchs-Roadrunners-
65 - 2025-12-10478Cabaret Lady Mary Ann-Roadrunners-
67 - 2025-12-12494Firebirds-Roadrunners-
69 - 2025-12-14509Roadrunners-Manchots-
71 - 2025-12-16519Roadrunners-Bruins-
72 - 2025-12-17530Roadrunners-Cougars-
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
Assistance21,30110,631
Assistance PCT96.82%96.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-8 2903 - 96.76% 98,727$1,086,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
563,404$ 1,483,890$ 1,483,890$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,689$ 563,404$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,961,818$ 135 7,689$ 1,038,015$




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