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Roadrunners
GP: 82 | W: 44 | L: 29 | OTL: 9 | P: 97
GF: 317 | GA: 310 | PP%: 26.20% | PK%: 75.51%
DG: Greg Vandersteen | Morale : 58 | Moyenne d’équipe : 58

Centre de jeu
Marlies
57-21-4, 118pts
3
FINAL
6 Roadrunners
44-29-9, 97pts
Team Stats
W2SéquenceOTL1
30-8-3Fiche domicile24-15-2
27-13-1Fiche domicile20-14-7
7-2-1Derniers 10 matchs3-5-2
4.50Buts par match 3.87
3.16Buts contre par match 3.78
26.00%Pourcentage en avantage numérique26.20%
75.73%Pourcentage en désavantage numérique75.51%
Griffins
44-36-2, 90pts
5
FINAL
4 Roadrunners
44-29-9, 97pts
Team Stats
OTW1SéquenceOTL1
25-16-0Fiche domicile24-15-2
19-20-2Fiche domicile20-14-7
6-3-1Derniers 10 matchs3-5-2
5.26Buts par match 3.87
5.18Buts contre par match 3.78
22.09%Pourcentage en avantage numérique26.20%
71.29%Pourcentage en désavantage numérique75.51%
Meneurs d'équipe
Ondrej PalatButs
Ondrej Palat
38
Tyson JostPasses
Tyson Jost
63
Tyson JostPoints
Tyson Jost
91
Philippe MyersPlus/Moins
Philippe Myers
19
Akira SchmidVictoires
Akira Schmid
12
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.841

Statistiques d’équipe
Buts pour
317
3.87 GFG
Tirs pour
2571
31.35 Avg
Pourcentage en avantage numérique
26.2%
49 GF
Début de zone offensive
40.7%
Buts contre
310
3.78 GAA
Tirs contre
2645
32.26 Avg
Pourcentage en désavantage numérique
75.5%%
48 GA
Début de la zone défensive
37.8%
Informations de l'équipe

Directeur généralGreg Vandersteen
EntraîneurDave Semenko
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2Nico Sturm


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs44


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
1Gustav NyquistX100.00615590666180917050686667638278077660363500,000$
2Ondrej PalatX100.00765591696974887150667262517875059660352500,000$
3Nico Sturm (A)X100.00786692677567757178646266507573076640304500,000$
4Anthony ManthaX100.006869776384665471506170546374750766203142,000,000$
5Tyson JostX100.00696178666665627361645959506767075610283500,000$
6David GustafssonX100.00606997657062606967615460506565074590263500,000$
7Akil Thomas (R)X100.00737096636964566351575056506464073570263500,000$
8Nils AmanX100.00625493626460546853605055506163019570261500,000$
9Max JonesX100.00826166617863565650555057506563018560283500,000$
10Joey AndersonX100.00585099577464555150524963506870058550271500,000$
11Ville KoivunenX100.00505775555662555750654949506270018540224500,000$
12Philippe MyersX100.00806785607968636650585470557072075640292500,000$
13Zac JonesX100.00655977666871687150675268556365073630252500,000$
14Troy StecherX100.00626284616466796550555470557473049620322500,000$
15Matthew KesselX100.00655983607462586450555464556567072600252500,000$
Rayé
1Oliver Kapanen (R)X100.00505593577061545257545056625557020530223500,000$
2Nikita Chibrikov (R)X100.00493590586050515050495348515765046510232500,000$
3Thomas BordeleauX100.00503589576350515050505050506362020510242500,000$
4Sam PoulinX100.00575885508150515250505050505859020510252500,000$
5Artyom Levshunov (R)X100.00656077647557586550635059555257010580204500,000$
6Ian MitchellX100.00525692556851555750505261556466013550272500,000$
7John KlingbergX100.00506265576654555350505051567674023540332500,000$
MOYENNE D’ÉQUIPE100.0063588561706261625358555953666704758
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
1Akira Schmid100.005662627450464646465150616103530252500,000$
Rayé
MOYENNE D’ÉQUIPE100.00566262745046464646515061610353
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Semenko8787878787501CAN616500,000$


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
1Tyson JostRoadrunners (UTA)C8228639102151062072636818510.65%25167120.3861319351360110603354.62%168800021.0924001738
2Gustav NyquistRoadrunners (UTA)RW60364177880431042449319614.75%22128721.4511314221101012835538.82%8500021.2013000564
3Ondrej PalatRoadrunners (UTA)LW58383977-5335121972435820615.64%15128222.11134173594000310813253.24%21600031.20120101135
4Anthony ManthaRoadrunners (UTA)RW82363470-126515116772387321015.13%12182922.3141115231321014821450.71%21100000.7712003383
5Nico SturmRoadrunners (UTA)C82274269172801481782325616111.64%23138616.9128102616510131424062.43%189800101.0024000258
6David GustafssonRoadrunners (UTA)C82283462-7135301782367014111.86%14139817.06000111000072156.78%134200010.8913001314
7Philippe MyersRoadrunners (UTA)D8212445619541017565104266711.54%107165320.1746103212102201211128.57%700000.6801101356
8Zac JonesRoadrunners (UTA)D8264854-22380145978837596.82%111171620.93371026610001941038.46%1300000.6311000123
9Brandt ClarkeUtah MammothD419415015280766161245014.75%5098924.1341014308102206801100.00%100001.0101000253
10Sam MalinskiUtah MammothD4883543108039638920458.99%64113323.6234722600003533233.33%1200000.7600000223
11Cutter GauthierUtah MammothLW352220421614059691714615212.87%1292926.5731418621012652038.18%5500010.9011000622
12Akil ThomasRoadrunners (UTA)C82112031-132009310615235897.24%12110713.51000260113361150.95%100500000.5600000032
13Troy StecherRoadrunners (UTA)D31919288140283039162323.08%3671323.011341053011063000%000000.7900000131
14Matthew KesselRoadrunners (UTA)D8282028-295351105560213913.33%87152418.59325949000065000%100000.3711010011
15Joey AndersonRoadrunners (UTA)RW6751318-46030447324456.85%10100815.0600017000001055.56%5400000.3600000000
16Max JonesRoadrunners (UTA)LW325813-916086123582814.29%663719.931013500000120155.00%4000000.4100000000
17Artyom LevshunovRoadrunners (UTA)D19088-214048611070%1530215.930001200006000%000000.5300000020
18Ian MitchellRoadrunners (UTA)D254370201516124633.33%1940116.0600002000023000%000000.3500000001
19Nikita ChibrikovRoadrunners (UTA)RW452241205111431414.29%251011.3400000000000056.00%2500000.1600000010
20Nils AmanRoadrunners (UTA)C31224340771051220.00%21896.12000011000080038.89%1800000.4200000100
21Ben ChiarotUtah MammothD5123-740207831012.50%1311723.560223700008010%000000.5100000001
22Ville KoivunenRoadrunners (UTA)RW31022-816022710880%1144514.3700000000000052.94%1700000.0900000000
Statistiques d’équipe totales ou en moyenne1184297540837-2146145152214972393698175312.41%6682223818.78488413229912314711211113372256.09%668800190.751123126475255
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
1Jet GreavesUtah Mammoth45311030.9132.7326600112113910310.72711450730
2Akira SchmidRoadrunners (UTA)39121640.8415.3118204016110130110.455113751101
Statistiques d’équipe totales ou en moyenne84432670.8833.784480412822404042228251831


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
Akil ThomasRoadrunners (UTA)C262000-01-02CANYes195 Lbs6 ft0NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Akira SchmidRoadrunners (UTA)G252000-05-12CHENo190 Lbs6 ft5NoNoTrade2024-11-08NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Anthony ManthaRoadrunners (UTA)RW311994-09-16CANNo234 Lbs6 ft5NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm2,000,000$200,000$0$No2,000,000$2,000,000$2,000,000$------2,000,000$2,000,000$2,000,000$------NoNoNo------Lien / Lien NHL
Artyom LevshunovRoadrunners (UTA)D202005-10-28BLRYes208 Lbs6 ft2NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
David GustafssonRoadrunners (UTA)C262000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo32024-08-13FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Gustav NyquistRoadrunners (UTA)RW361989-09-01SWENo180 Lbs5 ft11NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ian MitchellRoadrunners (UTA)D271999-01-18CANNo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Joey AndersonRoadrunners (UTA)RW271998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
John KlingbergRoadrunners (UTA)D331992-08-14SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-12-18FalseFalsePro & Farm500,000$50,000$0$No500,000$-----------------No--------Lien / Lien NHL
Matthew KesselRoadrunners (UTA)D252000-06-23USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Max JonesRoadrunners (UTA)LW281998-02-17USANo216 Lbs6 ft3NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Nico SturmRoadrunners (UTA)C301995-05-03DEUNo209 Lbs6 ft3NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Nikita ChibrikovRoadrunners (UTA)RW232003-02-16RUSYes170 Lbs5 ft10NoNoTrade2025-06-25NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nils AmanRoadrunners (UTA)C262000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Lien / Lien NHL
Oliver KapanenRoadrunners (UTA)C222003-07-29SWEYes194 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ondrej PalatRoadrunners (UTA)LW351991-03-28CZENo194 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Philippe MyersRoadrunners (UTA)D291997-01-25CANNo219 Lbs6 ft5NoNoN/ANoNo22024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Sam PoulinRoadrunners (UTA)RW252001-02-25CANNo227 Lbs6 ft2NoNoN/ANoNo22024-08-10FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Thomas BordeleauRoadrunners (UTA)C242002-01-03USANo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Troy StecherRoadrunners (UTA)D321994-04-07CANNo184 Lbs5 ft10NoNoFree AgentNoNo22026-01-18FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Tyson JostRoadrunners (UTA)C281998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ville KoivunenRoadrunners (UTA)RW222003-06-13FINNo161 Lbs5 ft11NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Zac JonesRoadrunners (UTA)D252000-10-18USANo190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.17196 Lbs6 ft12.52565,217$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ondrej PalatNico SturmGustav Nyquist40122
2Max JonesTyson JostAnthony Mantha30122
3Ondrej PalatDavid GustafssonJoey Anderson20122
4Gustav NyquistAkil ThomasVille Koivunen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersTroy Stecher40122
2Zac JonesMatthew Kessel30122
320122
4Philippe MyersTroy Stecher10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ondrej PalatNico SturmGustav Nyquist60122
2Max JonesTyson JostAnthony Mantha40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ondrej PalatGustav Nyquist60122
2Nico SturmAnthony Mantha40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ondrej Palat60122Philippe MyersTroy Stecher60122
2Gustav Nyquist40122Zac JonesMatthew Kessel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ondrej PalatGustav Nyquist60122
2Nico SturmAnthony Mantha40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Philippe MyersTroy Stecher60122
2Zac JonesMatthew Kessel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ondrej PalatNico SturmGustav NyquistPhilippe MyersTroy Stecher
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ondrej PalatNico SturmGustav NyquistPhilippe MyersTroy Stecher
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nils Aman, David Gustafsson, Akil ThomasNils Aman, David GustafssonAkil Thomas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Zac Jones, Zac Jones
Tirs de pénalité
Ondrej Palat, Gustav Nyquist, Nico Sturm, Anthony Mantha, Tyson Jost
Gardien
#1 : Akira Schmid, #2 :


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
1Aces21000001761110000004221000000134-130.75071421001071109018508318598515348131027200.00%50100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
2Admirals650001003221113200010014122330000001899110.91732589000107110901818083185985153171433212113538.46%16475.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
3Americiens42100100171432200000092720100100812-450.6251730470010711090181518318598515316152609613430.77%70100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
4Barons312000009902020000046-21100000053220.3339182700107110901810083185985153782014507114.29%6266.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
5Barracuda422000001819-11010000036-3321000001513240.500183452001071109018128831859851539827168312216.67%7357.14%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
6Broncos611031002218430003000129331100100109190.750224365001071109018192831859851531474637908225.00%14378.57%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
7Bruins412000101016-620200000311-82100001075240.500101525001071109018112831859851539536187410110.00%8275.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
8Canucks21000100770110000003211000010045-130.7507111800107110901839831859851536920933200.00%2150.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
9Fighting Pandas6320001017134321000009633110001087180.66717274411107110901816783185985153172462410820525.00%110100.00%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
10Firebirds751001003731643100000211743200010016142110.786376710400107110901825783185985153232554215316637.50%20575.00%21519271056.05%1426251456.72%825142857.77%2141153317785491054551
11Griffins2100010010911000010045-11100000064230.750102030001071109018898318598515392218469333.33%40100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
12Ice Bats3110100012111211000009901000100032140.66712193100107110901896831859851531052621534125.00%7185.71%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
13Lions211000007521010000034-11100000041320.50071118001071109018718318598515370218444250.00%3166.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
14Lynx411000021314-1211000008712000000257-240.50013243700107110901813283185985153106331871100.00%9366.67%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
15Marlies422000001520-5211000001010021100000510-540.5001525400010711090181118318598515310121298315746.67%12650.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
16Nordiks513010002030-10201010001115-431200000915-640.40020385800107110901816183185985153241644212111327.27%20860.00%11519271056.05%1426251456.72%825142857.77%2141153317785491054551
17Quacken2110000068-2110000003121010000037-420.500610160010711090184683185985153491212375120.00%5180.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
18Rocket522000102221132100000972201000101314-160.60022386000107110901816383185985153216752311713538.46%7357.14%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
19Tomahawks2010100078-1100010006511010000013-220.50071320001071109018458318598515381271834100.00%80100.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
20Wombats715010001823-531200000109140301000814-640.2861831490010711090182058318598515323170441291616.25%21480.95%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
21Wranglers211000001174110000007161010000046-220.500112031101071109018768318598515382201036500.00%4175.00%01519271056.05%1426251456.72%825142857.77%2141153317785491054551
Total823429076333173107411915052001621461641151402433155164-9970.591317566883211071109018257183185985153264574849516061874926.20%1964875.51%51519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Since Last GM Reset823429076333173107411915052001621461641151402433155164-9970.591317566883211071109018257183185985153264574849516061874926.20%1964875.51%51519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Vs Conference53231704432203191122714903100105901526980133298101-3660.623203358561111071109018167083185985153163247732710421253628.80%1253076.00%31519271056.05%1426251456.72%825142857.77%2141153317785491054551
_Vs Division2812704300119102171463031006152914640120058508350.62511921933800107110901892383185985153873235163539621727.42%751678.67%21519271056.05%1426251456.72%825142857.77%2141153317785491054551

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8297OTL131756688325712645748495160621
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234297633317310
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119155200162146
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115142433155164
Derniers 10 matchs
WLOTWOTL SOWSOL
350200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1874926.20%1964875.51%5
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
831859851531071109018
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
1519271056.05%1426251456.72%825142857.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2141153317785491054551


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
25Firebirds3Roadrunners5WSommaire du match
414Roadrunners0Wombats2LSommaire du match
729Broncos5Roadrunners6WXSommaire du match
1147Rocket3Roadrunners2LSommaire du match
1362Roadrunners6Nordiks4WSommaire du match
1569Wombats3Roadrunners2LSommaire du match
1676Roadrunners2Broncos3LSommaire du match
1889Roadrunners6Firebirds5WSommaire du match
2099Roadrunners5Admirals3WSommaire du match
21105Fighting Pandas0Roadrunners3WSommaire du match
25119Roadrunners1Fighting Pandas3LSommaire du match
26127Admirals2Roadrunners3WSommaire du match
28134Roadrunners2Wombats1WXSommaire du match
31146Firebirds6Roadrunners7WSommaire du match
33157Roadrunners4Barracuda2WSommaire du match
35170Admirals3Roadrunners5WSommaire du match
38182Roadrunners6Broncos3WSommaire du match
40191Aces2Roadrunners4WSommaire du match
42199Roadrunners4Americiens5LXSommaire du match
44207Roadrunners4Bruins3WXXSommaire du match
46217Wranglers1Roadrunners7WSommaire du match
48230Roadrunners1Tomahawks3LSommaire du match
49238Broncos2Roadrunners3WXSommaire du match
52251Roadrunners3Ice Bats2WXSommaire du match
53261Roadrunners6Griffins4WSommaire du match
54264Quacken1Roadrunners3WSommaire du match
57280Americiens1Roadrunners7WSommaire du match
59292Roadrunners2Nordiks7LSommaire du match
61305Fighting Pandas2Roadrunners4WSommaire du match
65321Lynx1Roadrunners4WSommaire du match
67330Roadrunners1Nordiks4LSommaire du match
69343Rocket1Roadrunners3WSommaire du match
71352Roadrunners4Lions1WSommaire du match
73364Rocket3Roadrunners4WSommaire du match
76379Firebirds2Roadrunners5WSommaire du match
79393Roadrunners1Marlies7LSommaire du match
81404Roadrunners1Lynx2LXXSommaire du match
82412Fighting Pandas4Roadrunners2LSommaire du match
84425Roadrunners6Admirals3WSommaire du match
86434Broncos2Roadrunners3WXSommaire du match
89447Canucks2Roadrunners3WSommaire du match
91454Roadrunners3Bruins2WSommaire du match
93465Roadrunners4Lynx5LXXSommaire du match
95471Roadrunners3Fighting Pandas2WXXSommaire du match
97479Roadrunners5Barons3WSommaire du match
98485Admirals7Roadrunners6LXSommaire du match
100500Wombats2Roadrunners0LSommaire du match
102513Roadrunners4Wranglers6LSommaire du match
104521Americiens1Roadrunners2WSommaire du match
106533Roadrunners2Broncos3LXSommaire du match
108544Roadrunners4Fighting Pandas2WSommaire du match
109550Wombats4Roadrunners8WSommaire du match
112568Lynx6Roadrunners4LSommaire du match
115582Firebirds6Roadrunners4LSommaire du match
119602Lions4Roadrunners3LSommaire du match
121612Roadrunners4Canucks5LXSommaire du match
123623Tomahawks5Roadrunners6WXSommaire du match
126641Roadrunners7Admirals3WSommaire du match
127648Barracuda6Roadrunners3LSommaire du match
130658Roadrunners4Marlies3WSommaire du match
132669Roadrunners7Rocket9LSommaire du match
133675Bruins6Roadrunners1LSommaire du match
135688Roadrunners3Quacken7LSommaire du match
137695Roadrunners3Aces4LXXSommaire du match
138699Ice Bats4Roadrunners1LSommaire du match
141716Nordiks6Roadrunners7WXSommaire du match
143728Roadrunners6Rocket5WXXSommaire du match
145732Roadrunners4Americiens7LSommaire du match
146741Bruins5Roadrunners2LSommaire du match
149758Marlies7Roadrunners4LSommaire du match
152778Barons2Roadrunners1LSommaire du match
153783Roadrunners8Barracuda5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155790Roadrunners6Firebirds4WSommaire du match
158806Nordiks9Roadrunners4LSommaire du match
160815Roadrunners3Wombats5LSommaire du match
163828Ice Bats5Roadrunners8WSommaire du match
164835Roadrunners4Firebirds5LXSommaire du match
168851Barons4Roadrunners3LSommaire du match
169857Roadrunners3Barracuda6LSommaire du match
171864Roadrunners3Wombats6LSommaire du match
173874Marlies3Roadrunners6WSommaire du match
178897Griffins5Roadrunners4LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,863,631$ 1,300,000$ 1,300,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,300,000$ 1,340,270$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,000$ 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

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