Connexion


Centre de jeu
Roadrunners
8-4-1, 17pts
5
FINAL
3 Nordiques
1-11-0, 2pts
Team Stats
SOW1StreakL8
4-2-0Home Record0-6-0
4-2-1Away Record1-5-0
5-4-1Last 10 Games1-9-0
4.38Buts par match 1.92
4.38Buts contre par match 4.33
38.78%Pourcentage en avantage numérique6.82%
75.00%Pourcentage en désavantage numérique76.92%
SilverKnights
8-1-2, 18pts
5
FINAL
6 Roadrunners
8-4-1, 17pts
Team Stats
SOL1StreakSOW1
6-0-0Home Record4-2-0
2-1-2Away Record4-2-1
7-1-2Last 10 Games5-4-1
4.27Buts par match 4.38
3.45Buts contre par match 4.38
32.76%Pourcentage en avantage numérique38.78%
80.49%Pourcentage en désavantage numérique75.00%
HC
5-5-3, 13pts
Jour 31
Roadrunners
8-4-1, 17pts
Stats Équipe
W1SéquenceSOW1
4-1-1Fiche domicile4-2-0
1-4-2Fiche visiteur4-2-1
5-2-310 derniers matchs5-4-1
3.69Buts par match 4.38
3.54Buts contre par match 4.38
18.75%Pourcentage en avantage numérique38.78%
77.36%Pourcentage en désavantage numérique75.00%
Roadrunners
8-4-1, 17pts
Jour 33
HC
5-5-3, 13pts
Stats Équipe
SOW1SéquenceW1
4-2-0Fiche domicile4-1-1
4-2-1Fiche visiteur1-4-2
5-4-110 derniers matchs5-2-3
4.38Buts par match 3.69
4.38Buts contre par match 3.54
38.78%Pourcentage en avantage numérique18.75%
75.00%Pourcentage en désavantage numérique77.36%
Roadrunners
8-4-1, 17pts
Jour 35
Cyclones
8-3-0, 16pts
Stats Équipe
SOW1SéquenceW5
4-2-0Fiche domicile5-1-0
4-2-1Fiche visiteur3-2-0
5-4-110 derniers matchs8-2-0
4.38Buts par match 3.45
4.38Buts contre par match 2.27
38.78%Pourcentage en avantage numérique20.00%
75.00%Pourcentage en désavantage numérique84.78%
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
57
4.38 GFG
Tirs pour
503
38.69 Avg
Pourcentage en avantage numérique
38.8%
19 GF
Début de zone offensive
41.3%
Buts contre
57
4.38 GAA
Tirs contre
453
34.85 Avg
Pourcentage en désavantage numérique
75.0%
10 GA
Début de la zone défensive
38.1%
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 actuelle8-4-1 (17PTS)
Historique148-87-28 (0.563%)
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 HeinemanX100.009950847864748557405163659970727537640241925,000$
2Ville KoivunenX100.005045738347726261406657627366698536610221925,000$
3Cole SchwindtX100.0063519075677072538654526340707075236002411,350,000$
4Samuel HeleniusX100.009967807574697751814557584068698023600232900,000$
5Hendrix LapierreX100.005043878051716257756450624068708034600231925,000$
6Jacob Quillan (R)X100.007053798565766648704352704068728023600232750,000$
7Noah Ostlund (R)X100.005041849345605058405165704064629023600213925,000$
8Brennan OthmannX100.008646887657715849404750694066698523580222925,000$
9Ryan WintertonX100.007944877553735148404750494066708523550222925,000$
10Lauri PajuniemiX100.004944817653605048404353604074676523540261950,000$
11Nikita ChibrikovX100.004748837756605050405049509966638523540222925,000$
12Filip Mesar (R)X100.005444819149605043404738604064629023540213925,000$
13Ondrej Becher (R)X100.006346878658685839703444508064669023530213925,000$
14Scott Morrow (R)X100.004553908070765364406959754068728023660232750,000$
15Luca Cagnoni (R)X100.005042819345686363406661534064669023620213925,000$
16Simon NemecX100.004247807758746253404659604064699023590211925,000$
17Victor SoderstromX100.0053437977525550494050485240706375235502411,650,000$
Rayé
1William StromgrenX100.005442857662796954406146504066738523580222750,000$
2Tyler TullioX100.005850737554605039404336554068648020510231925,000$
3Lukas SvejkovskyX100.005548827540605034402939648070657520500241925,000$
4Jakub Stancl (R)X100.007150868166605029402830514062619520480203925,000$
5Lian BichselX100.009969687591746957405163674064699023670212925,000$
MOYENNE D’ÉQUIPE 100.00634882805868595048495160516767832458
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)100.00755060836359636061609964629026620213925,000$
2Henrik Tikkanen100.00785760995050505050508772617026590251950,000$
Rayé
1Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
MOYENNE D’ÉQUIPE100.0076526092545354535453756760832459
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
1Emil HeinemanSamuel HeleniusCole Schwindt40122
2Ville KoivunenHendrix LapierreLauri Pajuniemi30122
3Noah OstlundJacob QuillanFilip Mesar20122
4Brennan OthmannRyan WintertonCole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni40122
2Simon NemecVictor Soderstrom30122
3Scott MorrowLuca Cagnoni20122
4Simon NemecVictor Soderstrom10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil HeinemanSamuel HeleniusCole Schwindt60122
2Ville KoivunenHendrix LapierreLauri Pajuniemi40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Simon NemecVictor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusEmil Heineman60122
2Hendrix LapierreVille Koivunen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Simon NemecVictor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Samuel Helenius60122Scott MorrowLuca Cagnoni60122
2Hendrix Lapierre40122Simon NemecVictor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusEmil Heineman60122
2Hendrix LapierreVille Koivunen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Simon NemecVictor Soderstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanSamuel HeleniusCole SchwindtScott MorrowLuca Cagnoni
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanSamuel HeleniusCole SchwindtScott MorrowLuca Cagnoni
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Helenius, Hendrix Lapierre, Jacob QuillanSamuel Helenius, Hendrix LapierreSamuel Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luca Cagnoni, Simon Nemec, Victor SoderstromLuca CagnoniLuca Cagnoni, Simon Nemec
Tirs de pénalité
Emil Heineman, Ville Koivunen, Cole Schwindt, Noah Ostlund, Samuel Helenius
Gardien
#1 : Sergei Murashov, #2 : Henrik Tikkanen


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
1BaronsOKC11000000431110000004310000000000021.0004812002019162371561661759461411284250.00%20100.00%024147550.74%20143845.89%11123647.03%2972153418614972
2Draveurs412010001619-32110000089-120101000810-240.5001630460020191621571561661759143465112313323.08%17476.47%024147550.74%20143845.89%11123647.03%2972153418614972
3Mighty Ducks320001001615111000000651210001001010050.833163248002019162115156166175911335108013753.85%5180.00%024147550.74%20143845.89%11123647.03%2972153418614972
4Nordiques11000000532000000000001100000053221.0005101500201916241156166175926114294125.00%2150.00%124147550.74%20143845.89%11123647.03%2972153418614972
5Remparts11000000624000000000001100000062421.0006121800201916248156166175936122234250.00%10100.00%024147550.74%20143845.89%11123647.03%2972153418614972
6SilverKnights10000010651100000106510000000000021.000691500201916239156166175932712265360.00%6266.67%024147550.74%20143845.89%11123647.03%2972153418614972
7Vikings20200000410-61010000035-21010000015-400.0004812002019162661561661759571914526116.67%7271.43%024147550.74%20143845.89%11123647.03%2972153418614972
Total1364011105757063200010272707320110030300170.654571091660020191625031561661759453144104361491938.78%401075.00%124147550.74%20143845.89%11123647.03%2972153418614972
_Since Last GM Reset1364011105757063200010272707320110030300170.654571091660020191625031561661759453144104361491938.78%401075.00%124147550.74%20143845.89%11123647.03%2972153418614972
_Vs Conference1364011105757063200010272707320110030300170.654571091660020191625031561661759453144104361491938.78%401075.00%124147550.74%20143845.89%11123647.03%2972153418614972
_Vs Division654011103225732200010161333320110016124151.25032619300201916223915616617592276835157261453.85%14378.57%024147550.74%20143845.89%11123647.03%2972153418614972

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1317SOW15710916650345314410436100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
136411105757
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63200102727
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73211003030
Derniers 10 matchs
WLOTWOTL SOWSOL
341110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
491938.78%401075.00%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
15616617592019162
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
24147550.74%20143845.89%11123647.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2972153418614972


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
21135Roadrunners5Mighty Ducks6ALXSommaire du match
23152Vikings5Roadrunners3BLSommaire du match
25168Roadrunners5Nordiques3AWSommaire du match
27179SilverKnights5Roadrunners6BWXXSommaire du match
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
2039136401110575706320001027270732011003030017571091660020191625031561661759453144104361491938.78%401075.00%124147550.74%20143845.89%11123647.03%2972153418614972
Total Saison régulière25311987022127610169061101266639097325234438012753480135444934633031410161938295455257345292118953121753048318011288120234023186652103318918.30%99618381.63%103988877545.45%3766829845.38%1856415944.63%578241436591177829281404
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