Connexion


Centre de jeu
Bandits
45-19-8, 98pts
5
FINAL
7 Roadrunners
36-29-6, 78pts
Team Stats
W1StreakSOL1
22-7-5Home Record21-11-3
23-12-3Away Record15-18-3
7-2-1Last 10 Games4-4-2
4.17Buts par match 3.17
3.43Buts contre par match 3.21
14.33%Pourcentage en avantage numérique16.61%
85.00%Pourcentage en désavantage numérique82.59%
Roadrunners
36-29-6, 78pts
4
FINAL
5 Spiders
40-24-7, 87pts
Team Stats
SOL1StreakSOW1
21-11-3Home Record23-11-1
15-18-3Away Record17-13-6
4-4-2Last 10 Games8-1-1
3.17Buts par match 3.68
3.21Buts contre par match 3.32
16.61%Pourcentage en avantage numérique17.16%
82.59%Pourcentage en désavantage numérique82.43%
Roadrunners
36-29-6, 78pts
Jour 152
Sagueneens
25-41-4, 54pts
Stats Équipe
SOL1SéquenceW2
21-11-3Fiche domicile13-21-1
15-18-3Fiche visiteur12-20-3
4-4-210 derniers matchs4-6-0
3.17Buts par match 2.47
3.21Buts contre par match 3.14
16.61%Pourcentage en avantage numérique12.84%
82.59%Pourcentage en désavantage numérique89.53%
IceHawks
18-46-8, 44pts
Jour 154
Roadrunners
36-29-6, 78pts
Stats Équipe
L6SéquenceSOL1
9-21-5Fiche domicile21-11-3
9-25-3Fiche visiteur15-18-3
1-8-110 derniers matchs4-4-2
2.01Buts par match 3.17
3.32Buts contre par match 3.21
11.85%Pourcentage en avantage numérique16.61%
86.43%Pourcentage en désavantage numérique82.59%
Roadrunners
36-29-6, 78pts
Jour 157
Wolves
50-15-5, 105pts
Stats Équipe
SOL1SéquenceW1
21-11-3Fiche domicile24-7-4
15-18-3Fiche visiteur26-8-1
4-4-210 derniers matchs7-2-1
3.17Buts par match 3.41
3.21Buts contre par match 2.31
16.61%Pourcentage en avantage numérique15.58%
82.59%Pourcentage en désavantage numérique90.39%
Meneurs d'équipe
Emil HeinemanButs
Emil Heineman
28
Emil HeinemanPasses
Emil Heineman
28
Emil HeinemanPoints
Emil Heineman
56
Emil HeinemanPlus/Moins
Emil Heineman
12
Sergei MurashovVictoires
Sergei Murashov
28
Sergei MurashovPourcentage d’arrêts
Sergei Murashov
0.892

Stats Équipe
Buts pour
225
3.17 GFG
Tirs pour
1911
26.92 Avg
Pourcentage en avantage numérique
16.6%
48 GF
Début de zone offensive
40.0%
Buts contre
228
3.21 GAA
Tirs contre
2015
28.38 Avg
Pourcentage en désavantage numérique
82.6%
35 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 Pro20
Équipe Mineure24
Limite contact 44 / 50
Espoirs55
Historique d'équipe
Saison actuelle36-29-6 (78PTS)
Historique176-112-33 (0.548%)
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 HeinemanX100.009950847864748557405163659970727550640241925,000$
2Ville KoivunenX100.005045738347726261406657627366698549610221925,000$
3Samuel HeleniusX100.009967807574697751814557584068698040600232900,000$
4Jacob Quillan (R)X100.007053798565766648704352704068728033600232750,000$
5Noah Ostlund (R)X100.005041849345605058405165704064629036600213925,000$
6Brennan OthmannX100.008646887657715849404750694066698536590222925,000$
7William StromgrenX100.005442857662796954406146504066738535580222750,000$
8Lauri PajuniemiX100.004944817653605048404353604074676536550261950,000$
9Ryan WintertonX100.007944877553735148404750494066708536550222925,000$
10Nikita ChibrikovX100.004748837756605050405049509966638538540222925,000$
11Filip Mesar (R)X100.005444819149605043404738604064629036540213925,000$
12Tyler TullioX100.005850737554605039404336554068648026510231925,000$
13Lukas SvejkovskyX100.005548827540605034402939648070657523500241925,000$
14Jakub Stancl (R)X100.007150868166605029402830514062619523480203925,000$
15Scott Morrow (R)X100.004553908070765364406959754068728039660232750,000$
16Luca Cagnoni (R)X100.005042819345686363406661534064669036620213925,000$
17Victor SoderstromX100.0053437977525550494050485240706375365502411,650,000$
Rayé
MOYENNE D’ÉQUIPE 100.00634882805667585044495060516767823657
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)100.00755060836359636061609964629034620213925,000$
2Henrik Tikkanen100.00785760995050505050508772617054590251950,000$
Rayé
1Ruslan Khazheyev (R)100.00755060935050505050504064579020570213925,000$
MOYENNE D’ÉQUIPE100.0076526092545354535453756760833659
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)LW63282856126201261241945616514.43%10130020.6585134622310131263138.81%6700000.8614000495
2Samuel HeleniusRoadrunners (Uta)C58122840-45610139144105339611.43%23126721.851891820200011282160.96%135500010.6301101362
3Noah OstlundRoadrunners (Uta)LW5825154066017136142298117.61%1982814.291016280003385143.14%5100000.9712000437
4Ville KoivunenRoadrunners (Uta)LW62142236-920082135159491158.81%19123119.862463120800041253248.48%6600100.5825000532
5Scott MorrowRoadrunners (Uta)D5892534-283156711989174210.11%98144624.946612591750001102110.00%000000.4700100203
6Jacob QuillanRoadrunners (Uta)C58121931103759612894255212.77%3089115.370005411011622160.11%75700000.7000001536
7Victor SoderstromRoadrunners (Uta)D5842125-13201142635153111.43%53127221.9408821175011191200.00%000000.3900000130
8Filip MesarRoadrunners (Uta)RW5851924620265639143212.82%677213.32000420000011048.65%3700000.6200000012
9Cole SchwindtMammothRW3161622-11556507023468.57%968922.23066151040110133053.85%3900100.6400010121
10Lauri PajuniemiRoadrunners (Uta)RW58101020-1260376781297212.35%1399617.1901120185000142144.44%7200000.4000000212
11Luca CagnoniRoadrunners (Uta)D5831720-26180124596524344.62%38141624.42347431710001109110.00%100000.2811000223
12Brennan OthmannRoadrunners (Uta)LW5861117-1014069716525609.23%859010.1800008000080059.26%2700000.5800000122
13Ryan WintertonRoadrunners (Uta)C588614-11160426544103418.18%660810.490000120000110045.54%52700000.4600000200
14Adam FantilliMammothLW5055100313186160.00%210120.240224210002190066.67%900000.9911000000
15Collin GrafMammothRW11235-52012120102710.00%123121.08022640000000035.00%2000000.4311000011
Statistiques d’équipe totales ou en moyenne752144245389-82307259491214122036590311.80%3351364518.1521466727816192241884425956.18%302800210.57715212323636
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)58282550.8922.8934106416415160100.88217580325
2Henrik TikkanenRoadrunners (Uta)40000.8703.60100006460000.0000058030
Statistiques d’équipe totales ou en moyenne62282550.8912.9135106417015620100.882175858355


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
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
2022.50188 Lbs6 ft11.95936,250$



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
1Bandits211000001112-1110000007521010000047-320.500112132008869591069657625607417719124010220.00%6266.67%01169212255.09%1112207453.62%619111355.62%181213041638479856445
2BaronsOKC41300000610-43120000047-31010000023-120.2506121800886959109965762560741152442511416318.75%9188.89%01169212255.09%1112207453.62%619111355.62%181213041638479856445
3BigBadStars11000000642000000000001100000064221.00061218008869591030657625607412684166116.67%2150.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
4Checkers22000000826110000006241100000020241.00081523018869591058657625607413516103713215.38%5180.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
5Cyclones3020001056-1100000104312020000013-220.33358130088695910456576256074150101852900.00%90100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
6Darkness21000100660210001006600000000000030.75061016008869591048657625607412998396116.67%40100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
7Draveurs622011002325-2421001001515020101000810-270.583234467008869591021065762560741211666717222313.64%24675.00%11169212255.09%1112207453.62%619111355.62%181213041638479856445
8Eagles10001000431000000000001000100043121.0004812008869591024657625607412504204125.00%2150.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
9EvilSharks1010000012-1000000000001010000012-100.00012300886959102065762560741267436300.00%2150.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
10Griffins1010000028-61010000028-60000000000000.00024600886959101965762560741215823100.00%4325.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
11HC514000001423-92020000068-231200000815-720.200142741008869591092657625607411605718922214.55%9366.67%01169212255.09%1112207453.62%619111355.62%181213041638479856445
12IceBears210001009631000010045-11100000051430.7509162500886959105765762560741632410351218.33%5180.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
13IceHawks11000000404110000004040000000000021.00047110188695910346576256074112714256116.67%20100.00%11169212255.09%1112207453.62%619111355.62%181213041638479856445
14IceHogs1000010034-1000000000001000010034-110.5003690088695910266576256074129110174125.00%000.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
15Iceberg21100000541110000003031010000024-220.5005712018869591040657625607417219637900.00%2150.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
16Mighty Ducks623001002328-521100000911-2412001001417-350.4172346690088695910197657625607412215822137241145.83%11281.82%01169212255.09%1112207453.62%619111355.62%181213041638479856445
17National1010000001-11010000001-10000000000000.00000000886959101665762560741156016300.00%000.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
18Nordiques631010101914532001000106431100010981100.833193150008869591015865762560741103394511825312.00%18288.89%11169212255.09%1112207453.62%619111355.62%181213041638479856445
19Oceanic10000010321100000103210000000000021.000347008869591029657625607412216103133.33%30100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
20Pantheres1010000003-31010000003-30000000000000.00000000886959102765762560741289418300.00%10100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
21Remparts5310100023203220000001183311010001212080.800234467008869591016765762560741203595011013430.77%23291.30%01169212255.09%1112207453.62%619111355.62%181213041638479856445
22Sagueneens11000000211000000000001100000021121.00024600886959102465762560741172828400.00%40100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
23Senators11000000413000000000001100000041321.00048120088695910266576256074116610175120.00%40100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
24SilverKnights62201010231763100101016883120000079-280.667233659018869591015465762560741158443411827518.52%17476.47%01169212255.09%1112207453.62%619111355.62%181213041638479856445
25Spiders1000000145-1000000000001000000145-110.500471100886959103065762560741381310213133.33%40100.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
26Thunder11000000413110000004130000000000021.000471100886959103565762560741321282114214.29%4175.00%01169212255.09%1112207453.62%619111355.62%181213041638479856445
27Vikings51400000917-82020000058-33120000049-520.2009172600886959101336576256074112340479318211.11%15286.67%01169212255.09%1112207453.62%619111355.62%181213041638479856445
28WolfPack21100000431110000004221010000001-120.50048120088695910446576256074151929444125.00%12191.67%01169212255.09%1112207453.62%619111355.62%181213041638479856445
Total71272905541225228-3351611023301231091436111803211102119-17780.5492254116360488695910191165762560741201560048115062894816.61%2013582.59%31169212255.09%1112207453.62%619111355.62%181213041638479856445
_Since Last GM Reset71272905541225228-3351611023301231091436111803211102119-17780.5492254116360488695910191165762560741201560048115062894816.61%2013582.59%31169212255.09%1112207453.62%619111355.62%181213041638479856445
_Vs Conference57212505330186190-427138022201048816308170311082102-20610.5351863405260388695910154765762560741170450439712192283917.11%1672982.63%21169212255.09%1112207453.62%619111355.62%181213041638479856445
_Vs Division24141704220858231386021105041911611021103541-6420.875851552400188695910700657625607417952261475391002626.00%681085.29%01169212255.09%1112207453.62%619111355.62%181213041638479856445

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
7178SOL122541163619112015600481150604
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7127295541225228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3516112330123109
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3611183211102119
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2894816.61%2013582.59%3
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
6576256074188695910
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
1169212255.09%1112207453.62%619111355.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
181213041638479856445


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
128920Roadrunners4Bandits7ALSommaire du match
129927Draveurs4Roadrunners3BLXSommaire du match
133952Vikings3Roadrunners2BLSommaire du match
136978Draveurs2Roadrunners4BWSommaire du match
138996Roadrunners0WolfPack1ALSommaire du match
1401008Roadrunners2Sagueneens1AWSommaire du match
1411016Mighty Ducks6Roadrunners3BLSommaire du match
1441038Roadrunners1HC6ALSommaire du match
1451046Remparts5Roadrunners7BWSommaire du match
1481071Bandits5Roadrunners7BWSommaire du match
1491079Roadrunners4Spiders5ALXXSommaire du match
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 Murashov58282550.8922.8934106416415160100.88217

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
203971272905541225228-3351611023301231091436111803211102119-17782254116360488695910191165762560741201560048115062894816.61%2013582.59%31169212255.09%1112207453.62%619111355.62%181213041638479856445
Total Saison régulière31114011202616107118410771071557948011105261952594156616401565556555213375118422403424593253953351261093926763507361211609682279626957797127321817.12%115720882.02%1249161042247.17%4677993447.08%2364503646.94%729752327888217136341777
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