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Connexion

Roadrunners
GP: 4 | W: 0 | L: 4
GF: 16 | GA: 23 | PP%: 10.00% | PK%: 75.00%
DG: Greg Vandersteen | Morale : 61 | Moyenne d’équipe : 58

Centre de jeu
Americiens
4-0-0, 8pts
6
FINAL
4 Roadrunners
0-4-0, 0pts
Team Stats
OTW1SéquenceOTL1
2-0-0Fiche domicile0-2-0
2-0-0Fiche domicile0-2-0
4-0-0Derniers 10 matchs0-3-1
5.75Buts par match 4.00
4.00Buts contre par match 5.75
25.00%Pourcentage en avantage numérique10.00%
90.00%Pourcentage en désavantage numérique75.00%
Americiens
4-0-0, 8pts
6
FINAL
5 Roadrunners
0-4-0, 0pts
Team Stats
OTW1SéquenceOTL1
2-0-0Fiche domicile0-2-0
2-0-0Fiche domicile0-2-0
4-0-0Derniers 10 matchs0-3-1
5.75Buts par match 4.00
4.00Buts contre par match 5.75
25.00%Pourcentage en avantage numérique10.00%
90.00%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Nico SturmButs
Nico Sturm
3
Ondrej PalatPasses
Ondrej Palat
5
David GustafssonPoints
David Gustafsson
5
Nico SturmPlus/Moins
Nico Sturm
2
Akira SchmidVictoires
Akira Schmid
0
Akira SchmidPourcentage d’arrêts
Akira Schmid
0.884

Statistiques d’équipe
Buts pour
16
4.00 GFG
Tirs pour
152
38.00 Avg
Pourcentage en avantage numérique
10.0%
1 GF
Début de zone offensive
43.7%
Buts contre
23
5.75 GAA
Tirs contre
210
52.50 Avg
Pourcentage en désavantage numérique
75.0%%
2 GA
Début de la zone défensive
38.9%
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 NyquistX100.00615590666180917050696667638278075660363500,000$
2Ondrej PalatX100.00765592696974887150677262517875056660352500,000$
3Nico Sturm (A)X100.00786692677567757178656266507573076640304500,000$
4Anthony ManthaX100.006869776384665471506171546374750716203142,000,000$
5Tyson JostX100.00696178666665627361645959506767074610283500,000$
6David GustafssonX100.00606997657062606967625460506565073590263500,000$
7Akil Thomas (R)X100.00737096636964566351575056506464071570263500,000$
8Nils AmanX100.00625493626460546853605055506163019570261500,000$
9Max JonesX100.00826166617863565650555056506563017560283500,000$
10Joey AndersonX100.00585099577464555150524963506970056550271500,000$
11Ville KoivunenX100.00505775555662555750664949506270018540224500,000$
12Philippe MyersX100.00806785607968636650585470557072078640292500,000$
13Troy StecherX100.00626284616466796550565470557473048630322500,000$
14Zac JonesX100.00665977666871687150675268556365071630252500,000$
15Matthew KesselX100.00665983607462586450555464556567071600252500,000$
Rayé
1Oliver Kapanen (R)X100.00505593577061545257545056625557021530223500,000$
2Nikita Chibrikov (R)X100.00493590586050515050495348515765047510232500,000$
3Thomas BordeleauX100.00503589576350515050505050506362021510242500,000$
4Sam PoulinX100.00575885508150515250505050505859021510252500,000$
5Artyom Levshunov (R)X100.00656077647557586550635059555257015580204500,000$
6Ian MitchellX100.00525692556851555750505261556466018550272500,000$
7John KlingbergX100.00506265576654555350505051567674024540332500,000$
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
1David GustafssonRoadrunners (UTA)C4145-3006511379.09%26115.4300000000000063.24%6800001.6200000101
2Gustav NyquistRoadrunners (UTA)RW41451005916686.25%511328.3200029000060037.50%800000.8800000011
3Nico SturmRoadrunners (UTA)C4325200881141427.27%36215.66011310000030065.12%8600001.6000000200
4Ondrej PalatRoadrunners (UTA)LW4055-400105246180%011328.3101119000170061.90%2100000.8800000010
5Tyson JostRoadrunners (UTA)C4325-2205191441221.43%19223.0200018000010064.18%13400001.0900000011
6Philippe MyersRoadrunners (UTA)D4224-2752211031020.00%1210526.281012900004000%000000.7600100000
7Anthony ManthaRoadrunners (UTA)RW4224-15526235148.70%09323.3500019000030066.67%600000.8600010010
8Ville KoivunenRoadrunners (UTA)RW4033-320920010%38020.1900000000000066.67%300000.7400000000
9Troy StecherRoadrunners (UTA)D41120007696411.11%710325.7800041000006000%000000.3900000001
10Joey AndersonRoadrunners (UTA)RW4112-3001260616.67%15814.7100000000000083.33%600000.6800000000
11Matthew KesselRoadrunners (UTA)D4022-200738260%88621.750001700005000%000000.4600000000
12Akil ThomasRoadrunners (UTA)C4101-4003171614.29%35614.0600002000030039.22%5100000.3600000100
13Nils AmanRoadrunners (UTA)C4101-4003130233.33%04110.35000010000200100.00%100000.4800000000
14Zac JonesRoadrunners (UTA)D4000-3601475160%1310726.810001700005000%00000000000000
15Max JonesRoadrunners (UTA)LW4000-2601105140%19223.0600008000000028.57%70000000000000
Statistiques d’équipe totales ou en moyenne60162844-302810113751524211810.53%59126821.1412316950001490060.10%39100000.6900110444
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
1Akira SchmidRoadrunners (UTA)40310.8846.0322900231980000040000
Statistiques d’équipe totales ou en moyenne40310.8846.032290023198000040000


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$7,143$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$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Anthony ManthaRoadrunners (UTA)RW311994-09-16CANNo234 Lbs6 ft5NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm2,000,000$200,000$28,571$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$7,143$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$7,143$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$7,143$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$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Joey AndersonRoadrunners (UTA)RW271998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
John KlingbergRoadrunners (UTA)D331992-08-14SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-12-18FalseFalsePro & Farm500,000$50,000$7,143$No500,000$-----------------No--------Lien / Lien NHL
Matthew KesselRoadrunners (UTA)D252000-06-23USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Max JonesRoadrunners (UTA)LW281998-02-17USANo216 Lbs6 ft3NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$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$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Nils AmanRoadrunners (UTA)C262000-02-07SWENo179 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Oliver KapanenRoadrunners (UTA)C222003-07-29SWEYes194 Lbs6 ft2NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Philippe MyersRoadrunners (UTA)D291997-01-25CANNo219 Lbs6 ft5NoNoN/ANoNo22024-08-20FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Sam PoulinRoadrunners (UTA)RW252001-02-25CANNo227 Lbs6 ft2NoNoN/ANoNo22024-08-10FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Thomas BordeleauRoadrunners (UTA)C242002-01-03USANo180 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Troy StecherRoadrunners (UTA)D321994-04-07CANNo184 Lbs5 ft10NoNoFree AgentNoNo22026-01-18FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Tyson JostRoadrunners (UTA)C281998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo32024-08-20FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$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$7,143$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
1Americiens404000001623-720200000912-320200000711-400.00016284400457015239534812210592811310110.00%8275.00%011217165.50%8515255.92%386855.88%1188687245128
Total404000001623-720200000912-320200000711-400.00016284400457015239534812210592811310110.00%8275.00%011217165.50%8515255.92%386855.88%1188687245128
_Since Last GM Reset404000001623-720200000912-320200000711-400.00016284400457015239534812210592811310110.00%8275.00%011217165.50%8515255.92%386855.88%1188687245128
_Vs Conference404000001623-720200000912-320200000711-400.00016284400457015239534812210592811310110.00%8275.00%011217165.50%8515255.92%386855.88%1188687245128

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40OTL1162844152210592811300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40400001623
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2020000912
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000711
Derniers 10 matchs
WLOTWOTL SOWSOL
030100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
10110.00%8275.00%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
395348124570
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
11217165.50%8515255.92%386855.88%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1188687245128


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
14Roadrunners2Americiens5LSommaire du match
312Roadrunners5Americiens6LSommaire du match
520Americiens6Roadrunners4LSommaire du match
728Americiens6Roadrunners5LXSommaire 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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 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
0$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 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

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