Connexion


Centre de jeu
Roadrunners
6-3-0, 12pts
1
FINAL
5 Vikings
3-5-0, 6pts
Team Stats
W1StreakOTW1
3-1-0Home Record1-3-0
3-2-0Away Record2-2-0
6-3-0Last 10 Games3-5-0
4.22Buts par match 2.88
4.22Buts contre par match 2.88
35.48%Pourcentage en avantage numérique26.32%
73.08%Pourcentage en désavantage numérique76.32%
Mighty Ducks
4-3-1, 9pts
5
FINAL
6 Roadrunners
6-3-0, 12pts
Team Stats
L1StreakW1
3-1-0Home Record3-1-0
1-2-1Away Record3-2-0
4-3-1Last 10 Games6-3-0
4.13Buts par match 4.22
3.38Buts contre par match 4.22
23.08%Pourcentage en avantage numérique35.48%
78.95%Pourcentage en désavantage numérique73.08%
Roadrunners
6-3-0, 12pts
Jour 21
Mighty Ducks
4-3-1, 9pts
Stats Équipe
W1SéquenceL1
3-1-0Fiche domicile3-1-0
3-2-0Fiche visiteur1-2-1
6-3-010 derniers matchs4-3-1
4.22Buts par match 4.13
4.22Buts contre par match 3.38
35.48%Pourcentage en avantage numérique23.08%
73.08%Pourcentage en désavantage numérique78.95%
Vikings
3-5-0, 6pts
Jour 23
Roadrunners
6-3-0, 12pts
Stats Équipe
OTW1SéquenceW1
1-3-0Fiche domicile3-1-0
2-2-0Fiche visiteur3-2-0
3-5-010 derniers matchs6-3-0
2.88Buts par match 4.22
2.88Buts contre par match 4.22
26.32%Pourcentage en avantage numérique35.48%
76.32%Pourcentage en désavantage numérique73.08%
Roadrunners
6-3-0, 12pts
Jour 25
Nordiques
1-8-0, 2pts
Stats Équipe
W1SéquenceL5
3-1-0Fiche domicile0-4-0
3-2-0Fiche visiteur1-4-0
6-3-010 derniers matchs1-8-0
4.22Buts par match 1.78
4.22Buts contre par match 4.00
35.48%Pourcentage en avantage numérique5.41%
73.08%Pourcentage en désavantage numérique80.85%
Meneurs d'équipe
Emil HeinemanButs
Emil Heineman
4
Emil HeinemanPasses
Emil Heineman
1
Emil HeinemanPoints
Emil Heineman
5
Emil HeinemanPlus/Moins
Emil Heineman
3

Stats Équipe
Buts pour
38
4.22 GFG
Tirs pour
342
38.00 Avg
Pourcentage en avantage numérique
35.5%
11 GF
Début de zone offensive
41.0%
Buts contre
38
4.22 GAA
Tirs contre
316
35.11 Avg
Pourcentage en désavantage numérique
73.1%
7 GA
Début de la zone défensive
38.0%
Information d’équipe
Directeur généralMichael Langlois
EntraîneurAaron Schneekloth
DivisionPacific
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro25
Équipe Mineure21
Limite contact 46 / 50
Espoirs51
Historique d'équipe
Saison actuelle6-3-0 (12PTS)
Historique146-86-28 (0.562%)
Apparitions séries éliminatoires 3
Historique séries éliminatoires (W-L)15-20
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
1Emil HeinemanX100.009950847864748557405163659970727536640241925,000$
2Ville KoivunenX100.005045738347726261406657627366698535610221925,000$
3Cole SchwindtX100.0063519075677072538654526340707075226002411,350,000$
4Samuel HeleniusX100.009967807574697751814557584068698022600232900,000$
5Hendrix LapierreX100.005043878051716257756450624068708033600231925,000$
6Jacob Quillan (R)X100.007053798565766648704352704068728022600232750,000$
7Noah Ostlund (R)X100.005041849345605058405165704064629022600213925,000$
8Brennan OthmannX100.008646887657715849404750694066698522580222925,000$
9William StromgrenX100.005442857662796954406146504066738522580222750,000$
10Ryan WintertonX100.007944877553735148404750494066708522550222925,000$
11Lauri PajuniemiX100.004944817653605048404353604074676522540261950,000$
12Nikita ChibrikovX100.004748837756605050405049509966638522540222925,000$
13Filip Mesar (R)X100.005444819149605043404738604064629022540213925,000$
14Ondrej Becher (R)X100.006346878658685839703444508064669022530213925,000$
15Lian BichselX100.009969687591746957405163674064699022670212925,000$
16Scott Morrow (R)X100.004553908070765364406959754068728022660232750,000$
17Luca Cagnoni (R)X100.005042819345686363406661534064669022620213925,000$
18Simon NemecX100.004247807758746253404659604064699022590211925,000$
19Victor SoderstromX100.0053437977525550494050485240706375225502411,650,000$
Rayé
1Tyler TullioX100.005850737554605039404336554068648020510231925,000$
2Lukas SvejkovskyX100.005548827540605034402939648070657520500241925,000$
3Jakub Stancl (R)X100.007150868166605029402830514062619520480203925,000$
MOYENNE D’ÉQUIPE 100.00634882805868595048495160516767832358
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
1Sergei Murashov (R)100.00755060836359636061609964629024620213925,000$
2Henrik Tikkanen100.00785760995050505050508772617024590251950,000$
Rayé
1Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
MOYENNE D’ÉQUIPE100.0076526092545354535453756760832359
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Aaron Schneekloth54768074826076CAN473100,000$


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
1Emil HeinemanRoadrunners (Uta)LW5415360168125733.33%08517.1720231600001110.00%400001.1600000011
2Hendrix LapierreRoadrunners (Uta)C4112-1000572514.29%16215.62011214000000053.45%5800000.6400000000
3Ville KoivunenRoadrunners (Uta)LW4101-1002664516.67%18220.530000150001160033.33%300000.2411000000
Statistiques d’équipe totales ou en moyenne13628160181925111724.00%223017.732135450001181149.23%6500000.6911000011
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Brennan OthmannRoadrunners (Uta)LW222003-01-05No192 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Cole SchwindtRoadrunners (Uta)RW242001-04-25No203 Lbs6 ft2NoNoNo1Pro & Farm1,350,000$0$0$No
RFA
Lien / Lien NHL
Emil HeinemanRoadrunners (Uta)LW242001-11-16No198 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Filip MesarRoadrunners (Uta)RW212004-01-03Yes184 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Hendrix LapierreRoadrunners (Uta)C232002-02-09No180 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Henrik TikkanenRoadrunners (Uta)G252000-09-28No201 Lbs6 ft8NoNoNo1Pro & Farm950,000$0$0$No
RFA
Lien / Lien NHL
Jacob QuillanRoadrunners (Uta)C232002-02-02Yes204 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Jakub StanclRoadrunners (Uta)LW202005-04-10Yes198 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Lauri PajuniemiRoadrunners (Uta)RW261999-09-12No183 Lbs6 ft0NoNoNo1Pro & Farm950,000$0$0$No
RFA
Lien / Lien NHL
Lian BichselRoadrunners (Uta)D212004-05-18No231 Lbs6 ft7NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Luca CagnoniRoadrunners (Uta)D212004-12-21Yes180 Lbs5 ft9NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Lukas SvejkovskyRoadrunners (Uta)RW242001-11-28No170 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Nikita ChibrikovRoadrunners (Uta)LW222003-02-16No193 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Noah OstlundRoadrunners (Uta)LW212004-03-11Yes171 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Ondrej BecherRoadrunners (Uta)C212004-02-22Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Ruslan KhazheyevRoadrunners (Uta)G212004-11-20Yes201 Lbs6 ft4NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Ryan WintertonRoadrunners (Uta)C222003-09-04No175 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Samuel HeleniusRoadrunners (Uta)C232002-11-26No201 Lbs6 ft6NoNoNo2Pro & Farm900,000$0$0$No900,000$
RFA
Lien / Lien NHL
Scott MorrowRoadrunners (Uta)D232002-11-01Yes210 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Sergei MurashovRoadrunners (Uta)G212004-04-01Yes172 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Simon NemecRoadrunners (Uta)D212004-02-15No190 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Tyler TullioRoadrunners (Uta)RW232002-04-05No185 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Victor SoderstromRoadrunners (Uta)D242001-02-26No186 Lbs5 ft11NoNoNo1Pro & Farm1,650,000$0$0$No
RFA
Lien / Lien NHL
Ville KoivunenRoadrunners (Uta)LW222003-06-13No172 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
William StromgrenRoadrunners (Uta)RW222003-06-07No190 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2522.40190 Lbs6 ft11.88951,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #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
1BaronsOKC11000000431110000004310000000000021.000481200141491371071151191461411284250.00%20100.00%016532750.46%13830345.54%8216749.10%2071502295710351
2Draveurs412010001619-32110000089-120101000810-240.500163046001414911571071151191143465112313323.08%17476.47%016532750.46%13830345.54%8216749.10%2071502295710351
3Mighty Ducks220000001192110000006511100000054141.0001122330014149177107115119165204548450.00%2150.00%016532750.46%13830345.54%8216749.10%2071502295710351
4Remparts11000000624000000000001100000062421.000612180014149148107115119136122234250.00%10100.00%016532750.46%13830345.54%8216749.10%2071502295710351
5Vikings1010000015-4000000000001010000015-400.000123001414912310711511912610827200.00%4250.00%016532750.46%13830345.54%8216749.10%2071502295710351
Total95301000383804310000018171522010002021-1120.667387411200141491342107115119131610276255311135.48%26773.08%016532750.46%13830345.54%8216749.10%2071502295710351
_Since Last GM Reset95301000383804310000018171522010002021-1120.667387411200141491342107115119131610276255311135.48%26773.08%016532750.46%13830345.54%8216749.10%2071502295710351
_Vs Conference95301000383804310000018171522010002021-1120.667387411200141491342107115119131610276255311135.48%26773.08%016532750.46%13830345.54%8216749.10%2071502295710351
_Vs Division4430100021147221000001082222010001165101.250214263001414911621071151191147461710516850.00%5180.00%016532750.46%13830345.54%8216749.10%2071502295710351

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
912W138741123423161027625500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
95310003838
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100001817
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52210002021
Derniers 10 matchs
WLOTWOTL SOWSOL
531000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
311135.48%26773.08%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
1071151191141491
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
16532750.46%13830345.54%8216749.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2071502295710351


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
29Roadrunners6Remparts2AWSommaire du match
320Roadrunners5Mighty Ducks4AWSommaire du match
530BaronsOKC3Roadrunners4BWSommaire du match
955Draveurs2Roadrunners4BWSommaire du match
1061Roadrunners3Draveurs6ALSommaire du match
1381Draveurs7Roadrunners4BLSommaire du match
1591Roadrunners5Draveurs4AWXSommaire du match
17108Roadrunners1Vikings5ALSommaire du match
19120Mighty Ducks5Roadrunners6BWSommaire du match
21135Roadrunners-Mighty Ducks-
23152Vikings-Roadrunners-
25168Roadrunners-Nordiques-
27179SilverKnights-Roadrunners-
31203HC-Roadrunners-
33216Roadrunners-HC-
35234Roadrunners-Cyclones-
37246Nordiques-Roadrunners-
39266IceHawks-Roadrunners-
42290Nordiques-Roadrunners-
44301Roadrunners-Vikings-
46318Roadrunners-Cyclones-
47325Roadrunners-HC-
49337HC-Roadrunners-
52358BaronsOKC-Roadrunners-
55381Nordiques-Roadrunners-
57399Roadrunners-IceBears-
58405Roadrunners-Remparts-
60421Remparts-Roadrunners-
62435Roadrunners-BaronsOKC-
64449Roadrunners-Mighty Ducks-
65459National-Roadrunners-
67472Roadrunners-SilverKnights-
69491BaronsOKC-Roadrunners-
71505Roadrunners-Nordiques-
73523Griffins-Roadrunners-
76543Roadrunners-Vikings-
77553Darkness-Roadrunners-
80567Roadrunners-Checkers-
82583Oceanic-Roadrunners-
84604Iceberg-Roadrunners-
86617Roadrunners-Iceberg-
88633Roadrunners-Mighty Ducks-
90644SilverKnights-Roadrunners-
93666Roadrunners-BigBadStars-
94677Pantheres-Roadrunners-
97697Roadrunners-Nordiques-
99707SilverKnights-Roadrunners-
101725Roadrunners-EvilSharks-
104740WolfPack-Roadrunners-
106753Roadrunners-SilverKnights-
108768Thunder-Roadrunners-
110787Roadrunners-Senators-
112800Checkers-Roadrunners-
114814Roadrunners-Remparts-
116829Darkness-Roadrunners-
119850Roadrunners-Eagles-
121863Cyclones-Roadrunners-
123878Roadrunners-SilverKnights-
125890Roadrunners-IceHogs-
126898IceBears-Roadrunners-
128920Roadrunners-Bandits-
129927Draveurs-Roadrunners-
133952Vikings-Roadrunners-
136978Draveurs-Roadrunners-
138996Roadrunners-WolfPack-
1401008Roadrunners-Sagueneens-
1411016Mighty Ducks-Roadrunners-
1441038Roadrunners-HC-
1451046Remparts-Roadrunners-
1481071Bandits-Roadrunners-
1491079Roadrunners-Spiders-
1521098Roadrunners-Sagueneens-
1541106IceHawks-Roadrunners-
1571129Roadrunners-Wolves-
1581141Vikings-Roadrunners-
1611163Mighty Ducks-Roadrunners-
1631176Roadrunners-Draveurs-
1671199Eagles-Roadrunners-
1681206Roadrunners-Magics-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721229Roadrunners-Draveurs-
1731239HC-Roadrunners-
1781260Remparts-Roadrunners-



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
1Aaron Downey1476263424687-5413472197186127419.60%8622430316.476399162272571271341247.47%40.571050
2Christopher DiDomenico1644892140-4520032630148010.00%76299818.28921304311286350.83%10.9328
3Brendan Smith13720103123-272482802495293.78%176329724.07724315910112210.00%00.7500
4Kenny Ryan1575861119-6428329520146512.47%60298219.0012142652202138331.94%10.8027
5Juraj Kolnik1616650116-5215534618249513.33%78301818.751114254603386239.15%00.77110

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
1Eddie Pasquale1567955220.9031.90941341829830730720.759116
2Atte Engren1034249100.8893.06605617530927831345530.68651
3Atte Engren874032100.8953.22498744268254911791000.77649
4Justin Peters753825110.9042.774514822082158978240.75024
5Konstantin Barulin53192490.8843.533107601831583709410.81527

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
203680273708422308313-540141704311153147640132004111155166-118030859290001012184933015094410181019252768970320853085517.86%3007475.33%11229279443.99%1150260844.10%552130542.30%183713202066567936447
20378241250742332027743412210043111681442441191503112152133191073206079273311610491132998952979102463258476680921633526418.18%3486182.47%41312283146.34%1250267846.68%604132245.69%185613242160574949455
203878452106321331259723927100110017512550391811052211561342211033163096121121101101103015106795996337255674170220433245115.74%3083887.66%41206267545.08%1165257445.26%589129645.45%179112812023550893428
203995301000383804310000018171522010002021-112387411200141491342107115119131610276255311135.48%26773.08%016532750.46%13830345.54%8216749.10%2071502295710351
Total Saison régulière249118860221166997887110124663809722514433811255248013444483454293099971903290055251340285117937021262997312411207983229822906546101518117.83%98218081.67%93912862745.35%3703816345.36%1827409044.67%569340786479175028821382
Séries éliminatoires
2035624000002536-11321000001516-1303000001020-10425477200011772290798268235635819337616.22%271062.96%110622048.18%10222445.54%5110449.04%13898154416632
2037104600000403915230000019181523000002121084075115011712101406144120138433510310726139820.51%37975.68%017936748.77%17332852.74%9317453.45%2361702586911654
203819910000009290211560000059563844000003334-1189217526700401735082827124028829861213194528861719.77%821285.37%139078149.94%38976251.05%19034754.76%479353489129219109
Total Séries éliminatoires35152000000157165-819910000009390316610000006475-1130157297454015740528146341543950810114313793599821623119.14%1463178.77%2675136849.34%664131450.53%33462553.44%855621902241402197

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
1Aaron Downey108163248-29831771391948.25%75181016.763692500002239.30%00.5300
2Christopher DiDomenico60992131511140.00%211619.40011100000044.07%01.5500
3Juraj Kolnik64374717102615.38%312721.29101600001050.00%01.1000
4Colby Robak6235421281216.67%1013923.1810110000000.00%00.7200
5Daniel Carcillo5145042115224.55%07314.78000000000050.00%01.3500

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
1Justin Pogge72310.9023.413702021215106020.0000
2Justin Pogge52110.8762.6027720129758000.0000
3Eddie Pasquale62400.8812.2537401141180000.0000
4Justin Peters20200.8435.16930085118000.0000