Roadrunners
GP: 82 | W: 49 | L: 26 | OTL: 7 | P: 105
GF: 323 | GA: 247 | PP%: 20.73% | PK%: 78.63%
DG: Mathieu Roy | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Moose
37-41-4, 78pts
0
FINAL
2 Roadrunners
49-26-7, 105pts
Team Stats
L2StreakW2
20-17-4Home Record31-9-1
17-24-0Away Record18-17-6
3-7-0Last 10 Games7-3-0
3.57Buts par match 3.94
3.66Buts contre par match 3.01
24.90%Pourcentage en avantage numérique20.73%
75.25%Pourcentage en désavantage numérique78.63%
Thunderbirds
22-54-6, 50pts
2
FINAL
3 Roadrunners
49-26-7, 105pts
Team Stats
L2StreakW2
11-27-3Home Record31-9-1
11-27-3Away Record18-17-6
6-4-0Last 10 Games7-3-0
3.27Buts par match 3.94
5.17Buts contre par match 3.01
17.92%Pourcentage en avantage numérique20.73%
76.52%Pourcentage en désavantage numérique78.63%
Meneurs d'équipe
Collin GrafButs
Collin Graf
11
Collin GrafPasses
Collin Graf
37
Collin GrafPoints
Collin Graf
48
Collin GrafPlus/Moins
Collin Graf
24
Joel BlomqvistVictoires
Joel Blomqvist
34
Joel BlomqvistPourcentage d’arrêts
Joel Blomqvist
0.916

Statistiques d’équipe
Buts pour
323
3.94 GFG
Tirs pour
3282
40.02 Avg
Pourcentage en avantage numérique
20.7%
51 GF
Début de zone offensive
43.8%
Buts contre
247
3.01 GAA
Tirs contre
2766
33.73 Avg
Pourcentage en désavantage numérique
78.6%
53 GA
Début de la zone défensive
38.5%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,635
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 80
Espoirs46


Historique d'équipe

Saison actuelle49-26-7 (105PTS)
Historique95-58-14 (0.569%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)6-6
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Juuso Parssinen13XXX100.00774088688682846773656466696467075660241950,000$
2Justin Bailey (C)90XX100.00784185658983876356626164637072075650302999,999$
3Aidan McDonough (R)25XX100.00724190648186736362606661656768075640252950,000$
4Liam Ohgren (R)92X100.00673694667286736558626461636265075640213950,000$
5Sam Morton (R)45XX100.00763792657186756461626360646667075640262999,999$
6Brad Lambert (R)93XX100.00633784677287856469665863656264075630211950,000$
7Wyatt Bongiovanni74XX100.00643882627391795958576458616668075620261750,000$
8Aleksanteri Kaskimaki (R)41XXX100.00603695616977715969625756586163075600213950,000$
9Adam Sykora (R)14XX100.00593595576682865660585659556163075600212950,000$
10Oskar Olausson (R)42XXX100.00653785597380795755585655596365075600221950,000$
11Jacob Perreault (R)63XX100.00624168577170765660585559546365075590231750,000$
12Philippe Daoust10X100.00563692586569705769625453576466075590243750,000$
13Shakir Mukhamadullin (R)85X100.00743988688685806430676066526365075650231950,000$
14David Reinbacher (R)64X100.00764279658568646230605964526163075630203950,000$
15Declan Carlile (A)67X100.00704079628380826130605963526567075630253999,999$
16Helge Grans (R)56X100.00744083618782846230635660496365075630231856,800$
17Ville Heinola4X100.00613984637182716430635860506466075620241879,700$
18Akito Hirose46X100.00643784576876725830565559486668075600262750,000$
Rayé
1A.J. Greer (A)12XX91.09807668668574866457606163657071075640282999,999$
2Nate Clurman84X100.00693980587975725530575659496769075600271750,000$
3Christoffer Sedoff7X100.00693985577867805530565358466365075590232999,999$
4Luke Krys54X100.00684081547770735330565355466567075580252999,999$
MOYENNE D’ÉQUIPE99.6068408562777977604960596056646607562
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Leevi Merilainen (R)100.0079858181787779787779786369075670231950,000$
2Joel Blomqvist (R)100.0077868283767577767577766369075660232950,000$
Rayé
1Nico Daws (R)100.0080848087797880797880796573075680242999,999$
2Callum Tung100.0067706683666567666567666267075610213999,999$
MOYENNE D’ÉQUIPE100.007681778475747675747675637007566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx77647165868164CAN571500,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Juuso ParssinenRoadrunners (UTA)C/LW/RW813949883260101802593658924610.68%33183222.6398174817801162397258.23%271500010.9625011695
2Liam OhgrenRoadrunners (UTA)LW8234468033140761352717120512.55%14140617.15551014800002643154.90%10200011.1411000554
3Aidan McDonoughRoadrunners (UTA)LW/RW82413778302351651203117421113.18%14148218.08781560217000089256.74%14100031.0502010668
4Brad LambertRoadrunners (UTA)C/RW8231477829180812042707720411.48%21162119.78117184721300001003056.77%137400000.9603000425
5Sam MortonRoadrunners (UTA)C/LW82392968323601371092977117913.13%7167320.41459421820002345259.87%15700110.8101000663
6Shakir MukhamadullinRoadrunners (UTA)D777556228480159118169551054.14%135183023.7731316701880000186100.00%000000.6800000222
7Collin GrafMammothC/LW/RW4811374824805599209641615.26%20113223.592793812510181401155.65%11500000.8513000224
8Justin BaileyRoadrunners (UTA)LW/RW82212748418010791234571648.97%16121414.8138114015800021802044.80%12500000.7900000211
9Helge GransRoadrunners (UTA)D8274148434551957510319476.80%113175321.38257341270001177100.00%000000.5500010112
10David ReinbacherRoadrunners (UTA)D7611334418741018475109439310.09%107165921.8431316441620001159300.00%000000.5300011322
11A.J. GreerRoadrunners (UTA)LW/RW7319163579125130631575011412.10%1174610.23022416000052230.43%4600000.9400104113
12Wyatt BongiovanniRoadrunners (UTA)C/LW8082533131755210611742866.84%783710.4700001000052050.21%94000000.7900001011
13Ville HeinolaRoadrunners (UTA)D70326291520064648036563.75%89136619.5206632160000290000.00%000000.4200000021
14Declan CarlileRoadrunners (UTA)D772262812360122697925562.53%106142318.480449450000141100.00%000000.3900000002
15Aleksanteri KaskimakiRoadrunners (UTA)C/LW/RW5871623500231028623558.14%859710.3000000000000057.91%74600010.7700000101
16Adam SykoraRoadrunners (UTA)C/LW5811718720183770254515.71%64137.1200000000003050.00%2000000.8700000012
17Akito HiroseRoadrunners (UTA)D3231114820034241771417.65%3242113.170000100002110.00%000000.6600000110
18Oskar OlaussonRoadrunners (UTA)C/LW/RW696713780462957174210.53%44816.9700001000000048.48%3300000.5400000000
19Jacob PerreaultRoadrunners (UTA)C/RW30281078029242914266.90%32227.4000013000010052.13%21100000.9000000001
20Nate ClurmanRoadrunners (UTA)D343691926059172391413.04%2144513.110001500006000.00%000000.4000000001
21Christoffer SedoffRoadrunners (UTA)D11012000050020.00%11313.450000000000010.00%000001.4900000000
22Philippe DaoustRoadrunners (UTA)C12011000587260.00%0836.9200000000000059.30%8600000.2400000000
Statistiques d’équipe totales ou en moyenne13683065508563755726019211828306587021299.98%7682265816.5649911404841870112241544441256.03%681100170.76415147404248
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joel BlomqvistRoadrunners (UTA)57341640.9162.8332636215418360210.700105527342
2Leevi MerilainenRoadrunners (UTA)30151030.9043.15169301899290000.80052755302
Statistiques d’équipe totales ou en moyenne87492670.9122.9449576324327650210.733158282644


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
A.J. Greer (sur la masse salariale)Roadrunners (UTA)LW/RW281996-12-14No209 Lbs6 ft3NoNoNo2Pro & Farm999,999$999,999$0$0$Yes999,999$Lien / Lien NHL
Adam SykoraRoadrunners (UTA)C/LW212004-09-07Yes179 Lbs5 ft10NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Aidan McDonoughRoadrunners (UTA)LW/RW251999-11-06Yes190 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Akito HiroseRoadrunners (UTA)D261999-04-09No170 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Aleksanteri KaskimakiRoadrunners (UTA)C/LW/RW212004-02-06Yes181 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Brad LambertRoadrunners (UTA)C/RW212003-12-19Yes173 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Callum TungRoadrunners (UTA)G212003-11-23No198 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Christoffer SedoffRoadrunners (UTA)D232002-02-20No201 Lbs6 ft1NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
David ReinbacherRoadrunners (UTA)D202004-10-25Yes209 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Declan CarlileRoadrunners (UTA)D252000-05-18No192 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Helge GransRoadrunners (UTA)D232002-05-10Yes205 Lbs6 ft4NoNoNo1Pro & Farm856,800$856,800$0$0$NoLien / Lien NHL
Jacob PerreaultRoadrunners (UTA)C/RW232002-04-15Yes192 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Joel BlomqvistRoadrunners (UTA)G232002-01-10Yes200 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Justin BaileyRoadrunners (UTA)LW/RW301995-07-01No214 Lbs6 ft4NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Juuso ParssinenRoadrunners (UTA)C/LW/RW242001-02-01No212 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Leevi MerilainenRoadrunners (UTA)G232002-08-13Yes186 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Liam OhgrenRoadrunners (UTA)LW212004-01-28Yes187 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Luke KrysRoadrunners (UTA)D252000-09-27No185 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Nate ClurmanRoadrunners (UTA)D271998-05-08No193 Lbs6 ft2NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nico DawsRoadrunners (UTA)G242000-12-22Yes205 Lbs6 ft4NoNoYes2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Oskar OlaussonRoadrunners (UTA)C/LW/RW222002-11-10Yes180 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Philippe DaoustRoadrunners (UTA)C242001-05-11No151 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Sam MortonRoadrunners (UTA)C/LW261999-07-28Yes185 Lbs6 ft0NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Shakir MukhamadullinRoadrunners (UTA)D232002-01-10Yes200 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Ville HeinolaRoadrunners (UTA)D242001-03-02No181 Lbs6 ft0NoNoNo1Pro & Farm879,700$879,700$0$0$NoLien / Lien NHL
Wyatt BongiovanniRoadrunners (UTA)C/LW261999-07-24No194 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.81191 Lbs6 ft21.85920,634$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam MortonJuuso ParssinenBrad Lambert40014
2Liam OhgrenAleksanteri KaskimakiAidan McDonough30113
3Adam SykoraWyatt BongiovanniJustin Bailey20122
4Oskar OlaussonPhilippe DaoustJacob Perreault10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinDavid Reinbacher40113
2Declan CarlileHelge Grans30122
3Ville HeinolaAkito Hirose20122
4Ville HeinolaHelge Grans10131
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Liam OhgrenBrad LambertAidan McDonough60005
2Sam MortonJuuso ParssinenJustin Bailey40005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinDavid Reinbacher60014
2Helge GransVille Heinola40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenJustin Bailey60131
2Brad LambertLiam Ohgren40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaHelge Grans60050
2Shakir MukhamadullinDavid Reinbacher40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60140Ville HeinolaHelge Grans60131
2Justin Bailey40050Shakir MukhamadullinDavid Reinbacher40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad LambertLiam Ohgren60122
2Sam MortonAidan McDonough40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ville HeinolaHelge Grans60122
2Shakir MukhamadullinDavid Reinbacher40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam MortonJuuso ParssinenAidan McDonoughShakir MukhamadullinDavid Reinbacher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam MortonJuuso ParssinenAidan McDonoughShakir MukhamadullinHelge Grans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Bailey, Aidan McDonough, Juuso ParssinenLiam Ohgren, Brad LambertSam Morton
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Helge Grans, David Reinbacher, Ville HeinolaHelge GransDavid Reinbacher, Helge Grans
Tirs de pénalité
Juuso Parssinen, Aidan McDonough, Brad Lambert, Liam Ohgren, Sam Morton
Gardien
#1 : Leevi Merilainen, #2 : Joel Blomqvist
Lignes d’attaque personnalisées en prolongation
Juuso Parssinen, Brad Lambert, Aidan McDonough, Liam Ohgren, Sam Morton, Jacob Perreault, Jacob Perreault, Wyatt Bongiovanni, Oskar Olausson, Aleksanteri Kaskimaki, Adam Sykora
Lignes de défense personnalisées en prolongation
David Reinbacher, Shakir Mukhamadullin, Declan Carlile, Ville Heinola, Helge Grans


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals430010002010102200000073421001000137681.00020385800137100799164110410811065479838239916212.50%7185.71%11846324956.82%1632286157.04%736131256.10%2155153717735671039541
2Americans211000005501010000023-11100000032120.50058130013710079975110410811065476723284010110.00%5180.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
3Barracuda30100110910-1100000104312010010057-230.5009142300137100799125110410811065471033016588112.50%8275.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
4Bears21100000990110000006421010000035-220.5009172600137100799641104108110654767161255200.00%6266.67%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
5Bruins21100000981110000005321010000045-120.50091625001371007997711041081106547532014549111.11%7185.71%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
6Checkers220000001468110000009451100000052341.0001426400013710079912411041081106547742123359333.33%4325.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
7Comets30300000711-41010000035-22020000046-200.000714210013710079910511041081106547111383382700.00%9277.78%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
8Condors3120000078-1211000007701010000001-120.3337121900137100799921104108110654711426148012216.67%7271.43%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
9Crunch210000016601000000134-11100000032130.750612180013710079974110410811065476422114916212.50%3166.67%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
10Devils20200000413-91010000026-41010000027-500.000471100137100799551104108110654787321444200.00%7357.14%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
11Eagles402010101215-32010100067-12010001068-240.5001219310013710079916111041081106547161412811812325.00%13376.92%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
12Firebirds33000000163132200000010281100000061561.0001629450013710079914011041081106547862816838337.50%7185.71%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
13Griffins220000001138110000005141100000062441.000112132001371007991181104108110654773148457342.86%40100.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
14Gulls31200000131121100000061520200000710-320.33313263900137100799120110410811065471253428596233.33%12466.67%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
15IceHogs41100200181532110000011652000020079-240.500183351001371007991501104108110654714341321089333.33%16287.50%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
16Marlies21100000990110000005411010000045-120.5009162500137100799811104108110654750118556116.67%4175.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
17Monsters2110000058-3110000004311010000015-420.5005712001371007996311041081106547741318528225.00%9366.67%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
18Moose330000001266220000006151100000065161.0001223350113710079913311041081106547922727788112.50%10280.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
19Penguins2010100057-2100010004311010000014-320.500591400137100799591104108110654774232055800.00%10280.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
20Phantoms22000000844110000004221100000042241.00081523001371007996211041081106547742522644125.00%11190.91%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
21Reign330000001376220000007341100000064261.00013243701137100799125110410811065479638296911218.18%12283.33%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
22Rocket211000008531010000012-11100000073420.5008142200137100799871104108110654778281954100.00%7185.71%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
23Senators21000100633110000004041000010023-130.7506111701137100799531104108110654774241243200.00%50100.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
24Silver Knights330000002231922000000132111100000091861.00022426400137100799161110410811065471063423955240.00%9188.89%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
25Sound Tigers2010100078-1100010004311010000035-220.5007142110137100799831104108110654776201747700.00%6266.67%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
26Stars412000011315-220200000710-32100000165130.375132639001371007991401104108110654711436165914321.43%8275.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
27Thunderbirds4300100017107220000008532100100095481.000173047001371007991981104108110654714149321014125.00%16287.50%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
28Wild3210000015871100000052321100000106440.66715294400137100799119110410811065478628166810220.00%8187.50%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
29Wolf Pack21100000550110000004131010000014-320.50051015001371007996311041081106547682614497342.86%7271.43%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
30Wolves21000001862110000005231000000134-130.75081523001371007998511041081106547451184311545.45%4175.00%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
31Wranglers3210000010100110000004222110000068-240.6671017270013710079912611041081106547922319757228.57%7271.43%01846324956.82%1632286157.04%736131256.10%2155153717735671039541
Total82422605423323247764127903011171104674115170241215214391050.64032359491713137100799328211041081106547276684060020162465120.73%2485378.63%11846324956.82%1632286157.04%736131256.10%2155153717735671039541
_Since Last GM Reset82422605423323247764127903011171104674115170241215214391050.64032359491713137100799328211041081106547276684060020162465120.73%2485378.63%11846324956.82%1632286157.04%736131256.10%2155153717735671039541
_Vs Conference5026150332120414262251760101010459452599023111008317660.66020437658002137100799205911041081106547166851135212321372921.17%1492980.54%11846324956.82%1632286157.04%736131256.10%2155153717735671039541
_Vs Division26136032111077928138401000503416135202211574512370.71210719830501137100799106511041081106547835260174631731520.55%781383.33%11846324956.82%1632286157.04%736131256.10%2155153717735671039541

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82105W232359491732822766840600201613
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8242265423323247
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412793011171104
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115172412152143
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2465120.73%2485378.63%1
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
11041081106547137100799
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
1846324956.82%1632286157.04%736131256.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2155153717735671039541


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2025-10-0918Roadrunners1Eagles4ALSommaire du match
5 - 2025-10-1132Roadrunners8Admirals3AWSommaire du match
7 - 2025-10-1348Roadrunners3IceHogs4ALXSommaire du match
9 - 2025-10-1560Wranglers2Roadrunners4BWSommaire du match
11 - 2025-10-1775Barracuda3Roadrunners4BWXXSommaire du match
13 - 2025-10-1992Bruins3Roadrunners5BWSommaire du match
15 - 2025-10-21107Eagles5Roadrunners3BLSommaire du match
17 - 2025-10-23117Roadrunners4Thunderbirds1AWSommaire du match
19 - 2025-10-25131Roadrunners9Wild3AWSommaire du match
20 - 2025-10-26143Roadrunners6Moose5AWSommaire du match
22 - 2025-10-28162Roadrunners0Condors1ALSommaire du match
27 - 2025-11-02194Crunch4Roadrunners3BLXXSommaire du match
29 - 2025-11-04203Roadrunners3Americans2AWSommaire du match
30 - 2025-11-05213Roadrunners4Marlies5ALSommaire du match
33 - 2025-11-08235Roadrunners7Rocket3AWSommaire du match
34 - 2025-11-09247Roadrunners2Senators3ALXSommaire du match
37 - 2025-11-12267Americans3Roadrunners2BLSommaire du match
39 - 2025-11-14282Sound Tigers3Roadrunners4BWXSommaire du match
42 - 2025-11-17306Roadrunners4Gulls6ALSommaire du match
43 - 2025-11-18314Roadrunners2Barracuda3ALSommaire du match
45 - 2025-11-20327Silver Knights1Roadrunners9BWSommaire du match
47 - 2025-11-22344Wolf Pack1Roadrunners4BWSommaire du match
49 - 2025-11-24358Silver Knights1Roadrunners4BWSommaire du match
51 - 2025-11-26372Rocket2Roadrunners1BLSommaire du match
53 - 2025-11-28390Roadrunners3Stars1AWSommaire du match
54 - 2025-11-29398Roadrunners5Thunderbirds4AWXSommaire du match
56 - 2025-12-01410Roadrunners3Barracuda4ALXSommaire du match
58 - 2025-12-03424Roadrunners3Gulls4ALSommaire du match
60 - 2025-12-05439Roadrunners2Comets3ALSommaire du match
61 - 2025-12-06448Roadrunners3Wranglers2AWSommaire du match
63 - 2025-12-08462Reign3Roadrunners4BWSommaire du match
65 - 2025-12-10478Checkers4Roadrunners9BWSommaire du match
67 - 2025-12-12494Firebirds1Roadrunners3BWSommaire du match
69 - 2025-12-14509Roadrunners1Penguins4ALSommaire du match
71 - 2025-12-16519Roadrunners4Bruins5ALSommaire du match
72 - 2025-12-17530Roadrunners6Griffins2AWSommaire du match
74 - 2025-12-19547Devils6Roadrunners2BLSommaire du match
76 - 2025-12-21569Moose1Roadrunners4BWSommaire du match
78 - 2025-12-23584Roadrunners5Eagles4AWXXSommaire du match
84 - 2025-12-29612Admirals1Roadrunners4BWSommaire du match
87 - 2026-01-01633Roadrunners3Sound Tigers5ALSommaire du match
89 - 2026-01-03645Roadrunners2Devils7ALSommaire du match
91 - 2026-01-05662Roadrunners1Wolf Pack4ALSommaire du match
93 - 2026-01-07680Senators0Roadrunners4BWSommaire du match
95 - 2026-01-09696Thunderbirds3Roadrunners5BWSommaire du match
97 - 2026-01-11714Monsters3Roadrunners4BWSommaire du match
99 - 2026-01-13733Marlies4Roadrunners5BWSommaire du match
101 - 2026-01-15746Stars5Roadrunners3BLSommaire du match
103 - 2026-01-17757Firebirds1Roadrunners7BWSommaire du match
107 - 2026-01-21790Phantoms2Roadrunners4BWSommaire du match
110 - 2026-01-24811Roadrunners5Admirals4AWXSommaire du match
112 - 2026-01-26825Roadrunners3Crunch2AWSommaire du match
113 - 2026-01-27834Roadrunners5Checkers2AWSommaire du match
115 - 2026-01-29850Roadrunners3Wolves4ALXXSommaire du match
117 - 2026-01-31870Stars5Roadrunners4BLSommaire du match
119 - 2026-02-02884Comets5Roadrunners3BLSommaire du match
121 - 2026-02-04898Griffins1Roadrunners5BWSommaire du match
142 - 2026-02-25914Eagles2Roadrunners3BWXSommaire du match
144 - 2026-02-27932Wild2Roadrunners5BWSommaire du match
146 - 2026-03-01948IceHogs5Roadrunners4BLSommaire du match
148 - 2026-03-03962Roadrunners3Bears5ALSommaire du match
150 - 2026-03-05976Roadrunners4Phantoms2AWSommaire du match
152 - 2026-03-07995Roadrunners1Monsters5ALSommaire du match
154 - 2026-03-091010Roadrunners4IceHogs5ALXSommaire du match
155 - 2026-03-101021Roadrunners1Wild3ALSommaire du match
157 - 2026-03-121037IceHogs1Roadrunners7BWSommaire du match
159 - 2026-03-141054Penguins3Roadrunners4BWXSommaire du match
161 - 2026-03-161066Roadrunners3Stars4ALXXSommaire du match
164 - 2026-03-191091Roadrunners9Silver Knights1AWSommaire du match
165 - 2026-03-201098Gulls1Roadrunners6BWSommaire du match
167 - 2026-03-221118Reign0Roadrunners3BWSommaire du match
169 - 2026-03-241133Condors3Roadrunners5BWSommaire du match
171 - 2026-03-261146Bears4Roadrunners6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281164Roadrunners6Reign4AWSommaire du match
178 - 2026-04-021203Roadrunners6Firebirds1AWSommaire du match
180 - 2026-04-041216Roadrunners2Comets3ALSommaire du match
183 - 2026-04-071241Condors4Roadrunners2BLSommaire du match
185 - 2026-04-091257Admirals2Roadrunners3BWSommaire du match
187 - 2026-04-111269Wolves2Roadrunners5BWSommaire du match
188 - 2026-04-121281Roadrunners3Wranglers6ALSommaire du match
190 - 2026-04-141297Moose0Roadrunners2BWSommaire du match
192 - 2026-04-161309Thunderbirds2Roadrunners3BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance68,73139,315
Assistance PCT83.82%95.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2635 - 87.84% 95,113$3,899,618$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,862,587$ 2,393,650$ 2,293,650$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,356,527$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,948,492$ 0 15,071$ 0$




Roadrunners Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Brad Lambert1564474118484012832042810.28%26266017.051211236400015054.22%00.8914
2Shakir Mukhamadullin154179711443943261902676.37%235328721.35622281210003100.00%00.6900
3Justin Bailey1524356995682441894399.79%31256316.86515207600056148.85%00.7722
4Juuso Parssinen81394988326018025936510.68%33183222.6398174801167258.23%10.9625
5Aidan McDonough153443983252520613935912.26%18193412.6578156100009255.80%30.8602

Roadrunners Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Joel Blomqvist113633680.9112.91643510331235240410.70020
2Leevi Merilainen62322230.9003.3334650119219250230.90911

Roadrunners Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
20248238320533128826523412016022101461252141181603121142140296288502790311059778112963955946103048268782455219922745720.80%2325476.72%21576311150.66%1412289548.77%670138448.41%2052144218455951054534
2025824226054233232477641279030111711046741151702412152143910532359491713137100799328211041081106547276684060020162465120.73%2485378.63%11846324956.82%1632286157.04%736131256.10%2155153717735671039541
Total Saison régulière16480580107546115129982472505221317229888233330553329428311201611109617074424219715720624520592027209595545316641152400852010820.77%48010777.71%33422636053.81%3044575652.88%1406269652.15%420729793618116220941075
Séries éliminatoires
20241266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380
Total Séries éliminatoires1266000004143-26420000021183624000002025-512417611700188141426145126136194031358827733927.27%41782.93%022545249.78%20643747.14%10221248.11%2972072939216380

Roadrunners Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Jonny Brodzinski125813-4121643549.26%224020.051341000000156.12%01.0800
2Filip Zadina1257123413143813.16%325020.85022400001025.00%00.9600
3Denis Gurianov125712-142717588.62%532026.692241000011052.63%00.7500
4Brett Leason124711402346508.00%729624.69022700001042.82%00.7400
5Arthur Kaliyev124610-401423488.33%224420.34224800020044.44%00.8200

Roadrunners Leaders des statistiques des gardiens (séries éliminatoires)

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