Connexion


Centre de jeu
Roadrunners
32-24-4, 68pts
3
FINAL
4 IceHogs
34-19-5, 73pts
Team Stats
OTL2StreakOTW1
18-9-2Home Record17-9-3
14-15-2Away Record17-10-2
7-1-2Last 10 Games7-3-0
3.13Buts par match 4.02
3.05Buts contre par match 3.57
17.41%Pourcentage en avantage numérique19.58%
81.70%Pourcentage en désavantage numérique82.76%
IceBears
32-21-6, 70pts
5
FINAL
4 Roadrunners
32-24-4, 68pts
Team Stats
OTW1StreakOTL2
16-10-3Home Record18-9-2
16-11-3Away Record14-15-2
5-4-1Last 10 Games7-1-2
3.76Buts par match 3.13
3.86Buts contre par match 3.05
19.44%Pourcentage en avantage numérique17.41%
76.00%Pourcentage en désavantage numérique81.70%
Roadrunners
32-24-4, 68pts
Jour 128
Bandits
35-17-7, 77pts
Stats Équipe
OTL2SéquenceOTL1
18-9-2Fiche domicile17-7-5
14-15-2Fiche visiteur18-10-2
7-1-210 derniers matchs3-4-3
3.13Buts par match 3.95
3.05Buts contre par match 3.44
17.41%Pourcentage en avantage numérique13.26%
81.70%Pourcentage en désavantage numérique84.13%
Draveurs
39-15-6, 84pts
Jour 129
Roadrunners
32-24-4, 68pts
Stats Équipe
OTW1SéquenceOTL2
23-4-2Fiche domicile18-9-2
16-11-4Fiche visiteur14-15-2
6-2-210 derniers matchs7-1-2
4.33Buts par match 3.13
3.50Buts contre par match 3.05
17.58%Pourcentage en avantage numérique17.41%
83.12%Pourcentage en désavantage numérique81.70%
Vikings
26-28-4, 56pts
Jour 133
Roadrunners
32-24-4, 68pts
Stats Équipe
W1SéquenceOTL2
13-14-2Fiche domicile18-9-2
13-14-2Fiche visiteur14-15-2
3-7-010 derniers matchs7-1-2
2.74Buts par match 3.13
2.60Buts contre par match 3.05
17.75%Pourcentage en avantage numérique17.41%
84.06%Pourcentage en désavantage numérique81.70%
Meneurs d'équipe
Noah OstlundButs
Noah Ostlund
23
Emil HeinemanPasses
Emil Heineman
22
Emil HeinemanPoints
Emil Heineman
45
Jacob QuillanPlus/Moins
Jacob Quillan
14
Sergei MurashovVictoires
Sergei Murashov
24
Sergei MurashovPourcentage d’arrêts
Sergei Murashov
0.898

Stats Équipe
Buts pour
188
3.13 GFG
Tirs pour
1579
26.32 Avg
Pourcentage en avantage numérique
17.4%
43 GF
Début de zone offensive
40.1%
Buts contre
183
3.05 GAA
Tirs contre
1672
27.87 Avg
Pourcentage en désavantage numérique
81.7%
28 GA
Début de la zone défensive
39.1%
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 Pro21
Équipe Mineure22
Limite contact 43 / 50
Espoirs55
Historique d'équipe
Saison actuelle32-24-4 (68PTS)
Historique172-107-32 (0.553%)
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 HeinemanX100.009950847864748557405163659970727553640241925,000$
2Ville KoivunenX100.005045738347726261406657627366698552610221925,000$
3Samuel HeleniusX100.009967807574697751814557584068698043600232900,000$
4Jacob Quillan (R)X100.007053798565766648704352704068728039600232750,000$
5Noah Ostlund (R)X100.005041849345605058405165704064629039600213925,000$
6Brennan OthmannX100.008646887657715849404750694066698539590222925,000$
7William StromgrenX100.005442857662796954406146504066738532580222750,000$
8Lauri PajuniemiX100.004944817653605048404353604074676539550261950,000$
9Ryan WintertonX100.007944877553735148404750494066708539550222925,000$
10Nikita ChibrikovX100.004748837756605050405049509966638535540222925,000$
11Filip Mesar (R)X100.005444819149605043404738604064629039540213925,000$
12Tyler TullioX100.005850737554605039404336554068648024510231925,000$
13Lukas SvejkovskyX100.005548827540605034402939648070657520500241925,000$
14Jakub Stancl (R)X100.007150868166605029402830514062619520480203925,000$
15Lian BichselX100.009969687591746957405163674064699032680212925,000$
16Scott Morrow (R)X100.004553908070765364406959754068728039660232750,000$
17Luca Cagnoni (R)X100.005042819345686363406661534064669039620213925,000$
18Victor SoderstromX100.0053437977525550494050485240706375395502411,650,000$
Rayé
MOYENNE D’ÉQUIPE 100.00654981805867595044495160516767833758
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)100.00755060836359636061609964629044630213925,000$
2Henrik Tikkanen100.00785760995050505050508772617054590251950,000$
Rayé
1Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
MOYENNE D’ÉQUIPE100.0076526092545354535453756760833960
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)LW5223224513480111891384312316.67%8105820.367512341901012883139.13%4600000.8513000385
2Noah OstlundRoadrunners (Uta)LW47231336114016107110226920.91%1670114.921016280003294143.59%3900001.0312000437
3Samuel HeleniusRoadrunners (Uta)C4792029-340101129881236911.11%21102721.85167131680001921158.67%102100010.5601101351
4Ville KoivunenRoadrunners (Uta)LW51111829-51407010111743919.40%16102520.12224261740001933150.00%5200100.5724000432
5Jacob QuillanRoadrunners (Uta)C4781927142007410475184410.67%2476116.210005410000431161.32%60500000.7100000424
6Scott MorrowRoadrunners (Uta)D4771825-21160518668132910.29%77117525.0154946145000073110.00%000000.4300000103
7Cole SchwindtMammothRW3161622-11556507023468.57%968922.23066151040110133053.85%3900100.6400010121
8Filip MesarRoadrunners (Uta)RW4751419110021473692913.89%565513.95000420000011048.57%3500000.5800000012
9Lauri PajuniemiRoadrunners (Uta)RW479716-840314562205614.52%882817.6301116152000142144.64%5600000.3900000111
10Victor SoderstromRoadrunners (Uta)D4731316-2220892225121912.00%41102521.8206614143000164100.00%000000.3100000110
11Luca CagnoniRoadrunners (Uta)D4721113-1914098465317223.77%29114124.2922439140000075110.00%100000.2311000213
12Brennan OthmannRoadrunners (Uta)LW47459-1410060594920458.16%750410.7400008000070055.00%2000000.3600000010
13Ryan WintertonRoadrunners (Uta)C47459-1514036492992613.79%552011.070000120000100042.37%43900000.3500000000
14Adam FantilliMammothLW5055100313186160.00%210120.240224210002190066.67%900000.9911000000
Statistiques d’équipe totales ou en moyenne609114186300-482111577891693127868412.24%2681121718.4218345222213521121161621854.91%236200210.53612111242829
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
1Sergei MurashovRoadrunners (Uta)47242030.8982.6427966412312050100.92914470323
2Henrik TikkanenRoadrunners (Uta)20000.7863.9146003140000.0000047020
Statistiques d’équipe totales ou en moyenne49242030.8972.6628436412612190100.929144747343


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
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
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
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
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
2122.43190 Lbs6 ft11.95935,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil HeinemanSamuel Helenius40122
2Ville KoivunenLauri Pajuniemi30122
3Noah OstlundJacob QuillanFilip Mesar20122
4Brennan OthmannRyan Winterton10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni40122
2Victor Soderstrom30122
3Scott MorrowLuca Cagnoni20122
4Victor Soderstrom10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Emil HeinemanSamuel Helenius60122
2Ville KoivunenLauri Pajuniemi40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Victor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusEmil Heineman60122
2Ville Koivunen40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Victor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Samuel Helenius60122Scott MorrowLuca Cagnoni60122
240122Victor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Samuel HeleniusEmil Heineman60122
2Ville Koivunen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott MorrowLuca Cagnoni60122
2Victor Soderstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanSamuel HeleniusScott MorrowLuca Cagnoni
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Emil HeinemanSamuel HeleniusScott MorrowLuca Cagnoni
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Samuel Helenius, , Jacob QuillanSamuel Helenius, Samuel Helenius
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Luca Cagnoni, , Victor SoderstromLuca CagnoniLuca Cagnoni,
Tirs de pénalité
Emil Heineman, Ville Koivunen, , 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
1BaronsOKC41300000610-43120000047-31010000023-120.2506121800735947109952552251335152442511416318.75%9188.89%0965177554.37%911173452.54%50992255.21%151410861397407726376
2BigBadStars11000000642000000000001100000064221.00061218007359471030525522513352684166116.67%2150.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
3Checkers22000000826110000006241100000020241.00081523017359471058525522513353516103713215.38%5180.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
4Cyclones3020001056-1100000104312020000013-220.33358130073594710455255225133550101852900.00%90100.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
5Darkness21000100660210001006600000000000030.75061016007359471048525522513352998396116.67%40100.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
6Draveurs412010001619-32110000089-120101000810-240.500163046007359471015752552251335143465112313323.08%17476.47%0965177554.37%911173452.54%50992255.21%151410861397407726376
7Eagles10001000431000000000001000100043121.0004812007359471024525522513352504204125.00%2150.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
8EvilSharks1010000012-1000000000001010000012-100.00012300735947102052552251335267436300.00%2150.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
9Griffins1010000028-61010000028-60000000000000.00024600735947101952552251335215823100.00%4325.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
10HC413000001317-42020000068-22110000079-220.250132538007359471072525522513351254112631616.25%6266.67%0965177554.37%911173452.54%50992255.21%151410861397407726376
11IceBears210001009631000010045-11100000051430.7509162500735947105752552251335632410351218.33%5180.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
12IceHawks11000000404110000004040000000000021.00047110173594710345255225133512714256116.67%20100.00%1965177554.37%911173452.54%50992255.21%151410861397407726376
13IceHogs1000010034-1000000000001000010034-110.5003690073594710265255225133529110174125.00%000.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
14Iceberg21100000541110000003031010000024-220.5005712017359471040525522513357219637900.00%2150.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
15Mighty Ducks522001002022-211000000651412001001417-350.500204060007359471015852552251335188501212018950.00%6183.33%0965177554.37%911173452.54%50992255.21%151410861397407726376
16National1010000001-11010000001-10000000000000.00000000735947101652552251335156016300.00%000.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
17Nordiques631010101914532001000106431100010981100.833193150007359471015852552251335103394511825312.00%18288.89%1965177554.37%911173452.54%50992255.21%151410861397407726376
18Oceanic10000010321100000103210000000000021.000347007359471029525522513352216103133.33%30100.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
19Pantheres1010000003-31010000003-30000000000000.00000000735947102752552251335289418300.00%10100.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
20Remparts421010001615111000000431311010001212060.75016314700735947101235255225133516952308912433.33%15193.33%0965177554.37%911173452.54%50992255.21%151410861397407726376
21Senators11000000413000000000001100000041321.00048120073594710265255225133516610175120.00%40100.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
22SilverKnights62201010231763100101016883120000079-280.667233659017359471015452552251335158443411827518.52%17476.47%0965177554.37%911173452.54%50992255.21%151410861397407726376
23Thunder11000000413110000004130000000000021.000471100735947103552552251335321282114214.29%4175.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
24Vikings41300000714-71010000035-23120000049-520.2507132000735947101065255225133511237227915213.33%11281.82%0965177554.37%911173452.54%50992255.21%151410861397407726376
25WolfPack11000000422110000004220000000000021.00048120073594710185255225133521510194125.00%5180.00%0965177554.37%911173452.54%50992255.21%151410861397407726376
Total6023240544018818352913902230978413311015032109199-8680.5671883405280473594710157952552251335167250835512622474317.41%1532881.70%2965177554.37%911173452.54%50992255.21%151410861397407726376
_Since Last GM Reset6023240544018818352913902230978413311015032109199-8680.5671883405280473594710157952552251335167250835512622474317.41%1532881.70%2965177554.37%911173452.54%50992255.21%151410861397407726376
_Vs Conference481820052301551514211060212078631527814031107788-11540.5631552804350373594710126952552251335141642728910241933518.13%1272282.68%1965177554.37%911173452.54%50992255.21%151410861397407726376
_Vs Division221214041207571411640201040301011610021103541-6370.84175136211017359471061752552251335728211117501932425.81%55885.45%0965177554.37%911173452.54%50992255.21%151410861397407726376

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6068OTL218834052815791672508355126204
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6023245440188183
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913922309784
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31101532109199
Derniers 10 matchs
WLOTWOTL SOWSOL
412210
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2474317.41%1532881.70%2
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
5255225133573594710
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
965177554.37%911173452.54%50992255.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
151410861397407726376


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
31203HC3Roadrunners2BLSommaire du match
33216Roadrunners2HC5ALSommaire du match
35234Roadrunners0Cyclones1ALSommaire du match
37246Nordiques1Roadrunners2BWXSommaire du match
39266IceHawks0Roadrunners4BWSommaire du match
42290Nordiques3Roadrunners4BWSommaire du match
44301Roadrunners3Vikings2AWSommaire du match
46318Roadrunners1Cyclones2ALSommaire du match
47325Roadrunners5HC4AWSommaire du match
49337HC5Roadrunners4BLSommaire du match
52358BaronsOKC1Roadrunners0BLSommaire du match
55381Nordiques2Roadrunners4BWSommaire du match
57399Roadrunners5IceBears1AWSommaire du match
58405Roadrunners1Remparts6ALSommaire du match
60421Remparts3Roadrunners4BWSommaire du match
62435Roadrunners2BaronsOKC3ALSommaire du match
64449Roadrunners3Mighty Ducks4ALSommaire du match
65459National1Roadrunners0BLSommaire du match
67472Roadrunners3SilverKnights2AWSommaire du match
69491BaronsOKC3Roadrunners0BLSommaire du match
71505Roadrunners0Nordiques2ALSommaire du match
73523Griffins8Roadrunners2BLSommaire du match
76543Roadrunners0Vikings2ALSommaire du match
77553Darkness3Roadrunners2BLXSommaire du match
80567Roadrunners2Checkers0AWSommaire du match
82583Oceanic2Roadrunners3BWXXSommaire du match
84604Iceberg0Roadrunners3BWSommaire du match
86617Roadrunners2Iceberg4ALSommaire du match
88633Roadrunners1Mighty Ducks3ALSommaire du match
90644SilverKnights3Roadrunners4BWXSommaire du match
93666Roadrunners6BigBadStars4AWSommaire du match
94677Pantheres3Roadrunners0BLSommaire du match
97697Roadrunners4Nordiques3AWXXSommaire du match
99707SilverKnights0Roadrunners6BWSommaire du match
101725Roadrunners1EvilSharks2ALSommaire du match
104740WolfPack2Roadrunners4BWSommaire du match
106753Roadrunners3SilverKnights4ALSommaire du match
108768Thunder1Roadrunners4BWSommaire du match
110787Roadrunners4Senators1AWSommaire du match
112800Checkers2Roadrunners6BWSommaire du match
114814Roadrunners5Remparts4AWXSommaire du match
116829Darkness3Roadrunners4BWSommaire du match
119850Roadrunners4Eagles3AWXSommaire du match
121863Cyclones3Roadrunners4BWXXSommaire du match
123878Roadrunners1SilverKnights3ALSommaire du match
125890Roadrunners3IceHogs4ALXSommaire du match
126898IceBears5Roadrunners4BLXSommaire du match
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
5Sergei Murashov47242030.8982.6427966412312050100.92914

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
20396023240544018818352913902230978413311015032109199-8681883405280473594710157952552251335167250835512622474317.41%1532881.70%2965177554.37%911173452.54%50992255.21%151410861397407726376
Total Saison régulière3001361070261510611471032115149764601195259350093151606101565455453222365114721693316593103853231261060725443404351811549339270425697553123121317.30%110920181.88%1147121007546.77%4476959446.65%2254484546.52%699950147647209935051707
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