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Roadrunners
GP: 5 | W: 1 | L: 4
GF: 15 | GA: 21 | PP%: 13.33% | PK%: 73.91%
DG: Yanick Généreux | Morale : 31 | Moyenne d’équipe : 64
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Centre de jeu
Eagles
7-5-0, 14pts
4
FINAL
3 Roadrunners
1-4-0, 2pts
Team Stats
L3SéquenceL2
5-2-0Fiche domicile1-1-0
2-3-0Fiche domicile0-3-0
5-5-0Derniers 10 matchs1-3-1
3.75Buts par match 3.00
3.08Buts contre par match 4.20
26.42%Pourcentage en avantage numérique13.33%
79.41%Pourcentage en désavantage numérique73.91%
Roadrunners
1-4-0, 2pts
1
FINAL
3 Eagles
7-5-0, 14pts
Team Stats
L2SéquenceL3
1-1-0Fiche domicile5-2-0
0-3-0Fiche domicile2-3-0
1-3-1Derniers 10 matchs5-5-0
3.00Buts par match 3.75
4.20Buts contre par match 3.08
13.33%Pourcentage en avantage numérique26.42%
73.91%Pourcentage en désavantage numérique79.41%
Meneurs d'équipe
Buts
Riley Tufte
3
Passes
Nico Sturm
4
Points
Austin Czarnik
5
Plus/Moins
Ben Harpur
2
Victoires
Keith Kinkaid
1
Pourcentage d’arrêts
Ilya Konovalov
0.913

Statistiques d’équipe
Buts pour
15
3.00 GFG
Tirs pour
143
28.60 Avg
Pourcentage en avantage numérique
13.3%
2 GF
Début de zone offensive
38.5%
Buts contre
21
4.20 GAA
Tirs contre
171
34.20 Avg
Pourcentage en désavantage numérique
73.9%%
6 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralYanick Généreux
EntraîneurBrian Sutter
DivisionDivision Pacifique
ConférenceConference 2
CapitaineJacob Middleton
Assistant #1Logan O'Connor
Assistant #2Riley Tufte


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 56
Espoirs24


Historique d'équipe

Saison actuelle1-4
Historique33-37-7 (0.429%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)1 - 4 (0.200%)
Coupe Stanley0


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
1Michael CarconeXX100.0070468273688275746072757274585161376702811,700,000$
2Nico SturmXXX100.006745917573808572807172736964575874670292900,000$
3Samuel BlaisXX100.0077469173737881716269697067635262456602811,500,000$
4Christoffer EhnXXX100.0062459372717490667465697473715556746502811,200,000$
5Zac DalpeXXX100.0071459571727469726068687264695538786503521,300,000$
6Austin CzarnikXXX100.0063459173677074707270657163615050736403231,200,000$
7Gabriel Fortier (R)XXX100.006545907268757573606768756148457066640253750,000$
8Riley Tufte (A)XX100.006645897272727471686372726456526073640261900,000$
9Logan O'Connor (A)XX100.0066458575707085696563727267594761736402821,100,000$
10German RubtsovX100.006345897270707273716866736248466064630262750,000$
11Gaetan HaasX100.006245977170738270656768716655464618630332900,000$
12Jansen HarkinsX100.005945947572656969846262695857496473630272900,000$
13Spencer Stastney (R)X100.006345918268747276457070766445457062670251900,000$
14Jacob Middleton (C)X100.0076507672737677744573707156645554616702911,700,000$
15Daniil MiromanovX100.0062459174757372754572697362585164196602711,700,000$
16Jack DoughertyX100.0068478272697577724572697257645557416602811,300,000$
17Michael Kesselring (R)X100.007150787971748677457368726250457074660253900,000$
18Julius HonkaX100.0056458674687679774574707156685654736602911,700,000$
Rayé
1Tomas JurcoXX100.0060439672717372696668637061735050186403231,200,000$
2Myles BellXX100.006949776773606367655967736368594816620312900,000$
3Deven SideroffXX100.0070487475736969646265646260615262206202721,000,000$
4Marcel NoebelsXX100.0057429670746869696469657064484847196203321,100,000$
5Patrick Giles (R)XXX100.006845857273707067606567696145457020620253750,000$
6Albin Eriksson (R)XX100.006745857272707066606465675945457042610243750,000$
7Gabriel GagneXX100.005545575555545554565354565546455419500281750,000$
8Ben HarpurX100.0071708573777879744572687563634956686703011,800,000$
9Frederic AllardX100.006544867268707067456765725647456019630272750,000$
10Christian FolinX100.006046966871696467456561726061504220630342900,000$
11Parker WotherspoonX100.007249667269677366456765686056506020620271750,000$
12Tobias GeisserX100.006951857375726761456462675750477420620262800,000$
MOYENNE D’ÉQUIPE100.00664786727172747058676771625750584664
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
1Keith Kinkaid100.007878767879758379808375676738666603511,500,000$
2Ilya Konovalov (R)100.00797878768077767777797645456074620263750,000$
Rayé
MOYENNE D’ÉQUIPE100.0079787777807680787981765656497064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Brian Sutter55709473999924CAN674100,000$


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
1Austin CzarnikRoadrunners (Uta)C/LW/RW5235-1404290522.22%15811.6210141500001000%100001.7200000001
2Nico SturmRoadrunners (Uta)C/LW/RW5044000710105110%210621.240113150000180050.00%14600000.7500000001
3Gabriel FortierRoadrunners (Uta)C/LW/RW5134-14032421025.00%16212.45000000000150050.00%200001.2800000000
4Riley TufteRoadrunners (Uta)LW/RW531402031134723.08%38617.28101212000000044.44%900000.9300000100
5Spencer StastneyRoadrunners (Uta)D5033-320387370%1710921.91011613000016000%000000.5500000000
6Christoffer EhnRoadrunners (Uta)C/LW/RW51230202813067.69%110420.920000120000170057.42%15500000.5700000000
7Jacob De La RoseHockey clubC/LW/RW5213000641601012.50%110220.590003120000180057.14%700000.5800000000
8Julius HonkaRoadrunners (Uta)D5123-2203313227.69%810921.97022713000016000%000000.5500000000
9Ben HarpurRoadrunners (Uta)D5022280451020%89619.2200000000013000%000000.4200000000
10Colin WhiteHockey clubC/LW/RW5112-1005463316.67%05811.7800000000020044.07%5900000.6800000010
11Michael KesselringRoadrunners (Uta)D5022040256560%710721.4000041400007000%000000.3700000000
12Jacob MiddletonRoadrunners (Uta)D511204014544525.00%510220.5000011400002100%000000.3900000000
13Jansen HarkinsRoadrunners (Uta)C5202-1000370528.57%0418.3500000000000050.00%5200000.9600000100
14Jujhar KhairaHockey clubC/LW/RW41122207492511.11%16115.2800024000000120.00%500000.6500000000
15Michael CarconeRoadrunners (Uta)LW/RW50110604912350%27715.4100000000000014.29%700000.2600000000
16Logan O'ConnorRoadrunners (Uta)LW/RW5011-300435570%37314.75000312000000060.00%500000.2700000000
17Gustav OlofssonHockey clubD5000-140654010%109418.9700000000015000%00000000000000
18Matthew NietoHockey clubLW/RW2000020003030%12110.690000000000000%10000000000000
19Zac DalpeRoadrunners (Uta)C/LW/RW2000100101010%0199.650000000000000%00000000000000
20Samuel BlaisRoadrunners (Uta)LW/RW2000-200310000%0199.7600000000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne90152843-1046081821433810110.49%71151316.812463514300001461150.66%45200000.5700000212
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
1Keith KinkaidRoadrunners (Uta)41210.8644.3423500171250000041000
2Ilya KonovalovRoadrunners (Uta)20100.9133.2973004460000014000
Statistiques d’équipe totales ou en moyenne61310.8774.093080021171000055000


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
Albin ErikssonRoadrunners (Uta)LW/RW242000-07-20SWEYes205 Lbs6 ft4NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Austin CzarnikRoadrunners (Uta)C/LW/RW321992-12-12USANo170 Lbs5 ft9NoNoFree AgentNoNo32024-07-12FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Ben HarpurRoadrunners (Uta)D301995-01-12CANNo231 Lbs6 ft6NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Christian FolinRoadrunners (Uta)D341991-02-09SWENo187 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Christoffer EhnRoadrunners (Uta)C/LW/RW281996-04-05SWENo195 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Daniil MiromanovRoadrunners (Uta)D271997-07-11RUSNo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Deven SideroffRoadrunners (Uta)LW/RW271997-04-14CANNo196 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Frederic AllardRoadrunners (Uta)D271997-12-27CANNo179 Lbs6 ft1NoNoWaiverNoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Gabriel FortierRoadrunners (Uta)C/LW/RW252000-02-06CANYes181 Lbs5 ft11NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Gabriel GagneRoadrunners (Uta)LW/RW281996-11-11CANNo214 Lbs6 ft5NoNoTrade2024-09-06NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Gaetan HaasRoadrunners (Uta)C331992-01-31SUINo181 Lbs6 ft0NoNoFree AgentNoNo22024-07-26FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
German RubtsovRoadrunners (Uta)C261998-06-27RUSNo178 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ilya KonovalovRoadrunners (Uta)G261998-07-13RUSYes194 Lbs6 ft0NoNoProspectNoNo32024-06-19FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Jack DoughertyRoadrunners (Uta)D281996-05-25USANo186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Jacob MiddletonRoadrunners (Uta)D291996-01-02CANNo219 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Jansen HarkinsRoadrunners (Uta)C271997-05-23CANNo183 Lbs6 ft1NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Julius HonkaRoadrunners (Uta)D291995-12-03FINNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Keith KinkaidRoadrunners (Uta)G351989-07-04USANo195 Lbs6 ft2NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Logan O'ConnorRoadrunners (Uta)LW/RW281996-08-14CANNo175 Lbs6 ft1NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Marcel NoebelsRoadrunners (Uta)LW/RW331992-03-14GERNo211 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$0$0$No1,100,000$--------1,100,000$--------No--------Lien
Michael CarconeRoadrunners (Uta)LW/RW281996-05-19CANNo170 Lbs5 ft10NoNoTrade2024-11-08NoNo1FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Michael KesselringRoadrunners (Uta)D252000-01-13USAYes190 Lbs6 ft4NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Myles BellRoadrunners (Uta)LW/RW311993-08-19CANNo220 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nico SturmRoadrunners (Uta)C/LW/RW291995-05-03GERNo209 Lbs6 ft3NoNoN/ANoNo22023-12-30FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Parker WotherspoonRoadrunners (Uta)D271997-08-24CANNo195 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Patrick GilesRoadrunners (Uta)C/LW/RW252000-01-03USAYes217 Lbs6 ft3NoNoProspectNoNo32024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Riley TufteRoadrunners (Uta)LW/RW261998-04-10USANo230 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Samuel BlaisRoadrunners (Uta)LW/RW281996-06-17CANNo206 Lbs6 ft2NoNoWaiverNoNo12024-07-10FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Spencer StastneyRoadrunners (Uta)D252000-01-04USAYes184 Lbs6 ft0NoNoFree AgentNoNo12024-06-18FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Tobias GeisserRoadrunners (Uta)D261999-02-13CHENo201 Lbs6 ft4NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Tomas JurcoRoadrunners (Uta)LW/RW321992-12-28SVKNo187 Lbs6 ft2NoNoFree AgentNoNo32024-07-24FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Zac DalpeRoadrunners (Uta)C/LW/RW351989-11-01CANNo197 Lbs6 ft2NoNoN/ANoNo22024-03-05FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,200,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.53196 Lbs6 ft21.811,093,750$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel FortierNico SturmZac Dalpe30023
2Riley TufteChristoffer EhnLogan O'Connor30023
3Samuel BlaisGerman RubtsovMichael Carcone25023
4Austin CzarnikJansen HarkinsGaetan Haas15023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MiddletonMichael Kesselring35032
2Spencer StastneyJulius Honka35032
3Daniil MiromanovJack Dougherty30032
4Jacob MiddletonJulius Honka0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteChristoffer EhnMichael Carcone50005
2Austin CzarnikNico SturmLogan O'Connor50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MiddletonMichael Kesselring50005
2Spencer StastneyJulius Honka50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Christoffer EhnGabriel Fortier50140
2Nico SturmRiley Tufte50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MiddletonMichael Kesselring50050
2Spencer StastneyJulius Honka50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Christoffer Ehn50050Jacob MiddletonMichael Kesselring52050
2Nico Sturm50050Spencer StastneyJulius Honka48050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Christoffer EhnMichael Carcone50113
2Nico SturmLogan O'Connor50113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MiddletonMichael Kesselring50113
2Spencer StastneyJulius Honka50113
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteChristoffer EhnMichael CarconeSpencer StastneyMichael Kesselring
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael CarconeChristoffer EhnGabriel FortierJacob MiddletonSpencer Stastney
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Fortier, Austin Czarnik, Jansen HarkinsGerman Rubtsov, Gabriel FortierGerman Rubtsov
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Julius Honka, Jacob Middleton, Spencer StastneySpencer StastneyMichael Kesselring, Jacob Middleton
Tirs de pénalité
Michael Carcone, Christoffer Ehn, Nico Sturm, Logan O'Connor, Riley Tufte
Gardien
#1 : Ilya Konovalov, #2 : Keith Kinkaid


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
1Eagles514000001521-62110000088030300000713-620.200152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833
Total514000001521-62110000088030300000713-620.200152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833
_Since Last GM Reset514000001521-62110000088030300000713-620.200152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833
_Vs Conference514000001521-62110000088030300000713-620.200152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L215284314317171468100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001521
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000088
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000713
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
15213.33%23673.91%0
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
29654542850
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
8517448.85%9719051.05%478853.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11878122396833


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
1 - 2025-03-095Roadrunners3Eagles6LSommaire du match
2 - 2025-03-1013Roadrunners3Eagles4LXSommaire du match
3 - 2025-03-1121Eagles4Roadrunners5WSommaire du match
4 - 2025-03-1229Eagles4Roadrunners3LSommaire du match
5 - 2025-03-1337Roadrunners1Eagles3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2813
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 111,750$223,500$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,500,000$ 3,500,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 3 0$ 0$




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
1Riley Tufte78253156-1012877220712.08%14145618.67712194200053445.45%30.7700
2Zac Dalpe80233053-1234816819511.79%11135116.89914233700004042.50%00.7800
3Julius Honka62124052-41423588913.48%61139422.4891423400000010%00.7500
4Jacob De La Rose82282452-918918220413.73%22147518.0076134601133052.42%00.7000
5Ben Harpur65104151683102689110.99%94136721.0431013350110200%00.7500

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
1Ville Husso45152140.8813.7224010214912520340.80010
2Oscar Dansk37141360.9013.0120120110110250010.63611
3Laurent Brossoit94320.9002.9555000272690010.7147

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
1582293701636270289-1941161800124137140-341131901512133149-16782704817516311486665253087785677846255269767613682596826.25%2837274.56%11463290150.43%1448289749.98%709138551.19%1959134019446181078541
Total Saison régulière82293701636270289-1941161800124137140-341131901512133149-16782704817516311486665253087785677846255269767613682596826.25%2837274.56%11463290150.43%1448289749.98%709138551.19%1959134019446181078541
Séries éliminatoires
16514000001521-62110000088030300000713-62152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833
Total Séries éliminatoires514000001521-62110000088030300000713-62152843002850143296545417171468115213.33%23673.91%08517448.85%9719051.05%478853.41%11878122396833

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
1Austin Czarnik5235-1442922.22%15811.6210140000000%01.7200
2Nico Sturm504400710100%210621.24011300000050.00%00.7500
3Riley Tufte531402311323.08%38617.28101200000044.44%00.9300
4Gabriel Fortier5134-1432425.00%16212.45000000000050.00%01.2800
5Jacob De La Rose521300641612.50%110220.59000300000057.14%00.5800

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
1Keith Kinkaid41210.8644.34235001712500000
2Ilya Konovalov20100.9133.29730044600000