Connexion


Centre de jeu
Nordiques
11-1-0, 22pts
4
FINAL
1 Roadrunners
5-6-0, 10pts
Team Stats
W2StreakL2
6-0-0Home Record2-4-0
5-1-0Away Record3-2-0
9-1-0Last 10 Games5-5-0
3.75Buts par match 2.73
2.17Buts contre par match 2.55
10.42%Pourcentage en avantage numérique16.22%
85.94%Pourcentage en désavantage numérique92.11%
Roadrunners
5-6-0, 10pts
1
FINAL
5 Eagles
6-5-1, 13pts
Team Stats
L2StreakL1
2-4-0Home Record4-1-1
3-2-0Away Record2-4-0
5-5-0Last 10 Games6-3-1
2.73Buts par match 2.42
2.55Buts contre par match 2.08
16.22%Pourcentage en avantage numérique20.00%
92.11%Pourcentage en désavantage numérique85.71%
Iceberg
4-7-1, 9pts
Jour 26
Roadrunners
5-6-0, 10pts
Stats Équipe
L1SéquenceL2
2-3-1Fiche domicile2-4-0
2-4-0Fiche visiteur3-2-0
4-5-110 derniers matchs5-5-0
2.50Buts par match 2.73
3.25Buts contre par match 2.55
19.30%Pourcentage en avantage numérique16.22%
81.82%Pourcentage en désavantage numérique92.11%
Roadrunners
5-6-0, 10pts
Jour 27
WolfPack
5-3-3, 13pts
Stats Équipe
L2SéquenceW1
2-4-0Fiche domicile3-2-1
3-2-0Fiche visiteur2-1-2
5-5-010 derniers matchs5-2-3
2.73Buts par match 2.36
2.55Buts contre par match 2.27
16.22%Pourcentage en avantage numérique13.46%
92.11%Pourcentage en désavantage numérique86.84%
WolfPack
5-3-3, 13pts
Jour 29
Roadrunners
5-6-0, 10pts
Stats Équipe
W1SéquenceL2
3-2-1Fiche domicile2-4-0
2-1-2Fiche visiteur3-2-0
5-2-310 derniers matchs5-5-0
2.36Buts par match 2.73
2.27Buts contre par match 2.55
13.46%Pourcentage en avantage numérique16.22%
86.84%Pourcentage en désavantage numérique92.11%
Meneurs d'équipe
Scott MorrowButs
Scott Morrow
3
Jacob QuillanPasses
Jacob Quillan
3
Scott MorrowPoints
Scott Morrow
5
Filip MesarPlus/Moins
Filip Mesar
1
Sergei MurashovVictoires
Sergei Murashov
5
Sergei MurashovPourcentage d’arrêts
Sergei Murashov
0.899

Stats Équipe
Buts pour
30
2.73 GFG
Tirs pour
398
36.18 Avg
Pourcentage en avantage numérique
16.2%
6 GF
Début de zone offensive
43.6%
Buts contre
28
2.55 GAA
Tirs contre
272
24.73 Avg
Pourcentage en désavantage numérique
92.1%
3 GA
Début de la zone défensive
36.4%
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 Mineure18
Limite contact 39 / 50
Espoirs35
Historique d'équipe
Saison actuelle5-6-0 (10PTS)
Historique186-123-33 (0.544%)
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
1Max Shabanov (R)X100.005438898540777362406459634076776023630261575,000$
2Cole SchwindtX100.0072548975727263557946647340747365236202512,000,000$
3Berkly Catton (R)X100.004344818147768856795259689964709023620203925,000$
4Jacob QuillanX100.008750887565725950774754744072727022610241750,000$
5Jared Wright (R)X100.006844877752745952405450744072737023600242750,000$
6Zakhar Bardakov (R)X100.006050857564678452775251634074716523600251575,000$
7Adam RuzickaX100.0046568475776050548252565540786955235802711,500,000$
8Filip Mesar (R)X100.005444837548807041404140614068748022540222925,000$
9Carson Bantle (R)X100.006755697779615131402635604072677023500242750,000$
10Scott MorrowX100.004953877570766353405750694072747022630241750,000$
11Kirill Kirsanov (R)X100.006044878075726734403137694072727023610242750,000$
12Victor SoderstromX100.005343787656615650405049694074686523600251900,000$
13Chase Pietila (R)X100.005448648460706536403734704068698023600222750,000$
14Cam Allen (R)X100.005547708563555041403547614066618523570213925,000$
15Jake Boltmann (R)X100.005138878463555031403230584074656523550251575,000$
16Cooper Moore (R)X100.005245698459555033403333564074656523540251575,000$
Rayé
1Chase Yoder (R)X100.005040818760605032702737574072667020500242750,000$
2Topi NiemelaX100.005355847552555040404734504072647020530241925,000$
MOYENNE D’ÉQUIPE 100.00574781796167614552444664437269702358
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)100.00756669836763676465649968668020660222925,000$
2Henrik Tikkanen100.007855609952505250525087766360265902611,500,000$
Rayé
1Ruslan Khazheyev (R)100.00755060935050505050504068598020570222925,000$
MOYENNE D’ÉQUIPE100.0076576392565456555655757163732261
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Aaron Schneekloth41575369837974CAN482100,000$


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
1Scott MorrowRoadrunners (Uta)D11325-810011302591312.00%1625222.962021027000014100.00%000000.4000000022
2Jacob QuillanRoadrunners (Uta)C110331601224188130.00%1978.8600000000000057.45%14100000.6200000111
3Filip MesarRoadrunners (Uta)RW1111210011712588.33%2978.8600000000000044.44%900000.4100000102
Statistiques d’équipe totales ou en moyenne334610-616024715522347.27%1944713.5620210270000141056.67%15000000.4500000235
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)115600.8992.5463701272680010.0000110300
Statistiques d’équipe totales ou en moyenne115600.8992.5463701272680010.0000110300


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 2040 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2041 204220432044204520462047Salaire annuel 9Salaire annuel 10Link
Adam RuzickaRoadrunners (Uta)C271999-05-11No215 Lbs6 ft4NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Berkly CattonRoadrunners (Uta)C202006-01-14Yes179 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Cam AllenRoadrunners (Uta)D212005-01-07Yes200 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Carson BantleRoadrunners (Uta)LW242002-01-22Yes215 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Chase PietilaRoadrunners (Uta)D222004-03-03Yes190 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Chase YoderRoadrunners (Uta)C242002-05-28Yes201 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Cole SchwindtRoadrunners (Uta)RW252001-04-25No210 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$0$0$No
RFA
Lien / Lien NHL
Cooper MooreRoadrunners (Uta)D252001-02-16Yes187 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien / Lien NHL
Filip MesarRoadrunners (Uta)RW222004-01-03Yes181 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Henrik TikkanenRoadrunners (Uta)G262000-09-28No201 Lbs6 ft8NoNoNo1Pro & Farm1,500,000$0$0$No
RFA
Lien / Lien NHL
Jacob QuillanRoadrunners (Uta)C242002-02-02No204 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Jake BoltmannRoadrunners (Uta)D252001-10-19Yes200 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien / Lien NHL
Jared WrightRoadrunners (Uta)RW242002-11-22Yes178 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Kirill KirsanovRoadrunners (Uta)D242002-09-19Yes220 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Max ShabanovRoadrunners (Uta)RW262000-10-07Yes167 Lbs5 ft9NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien / Lien NHL
Ruslan KhazheyevRoadrunners (Uta)G222004-11-20Yes201 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Scott MorrowRoadrunners (Uta)D242002-11-01No210 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Sergei MurashovRoadrunners (Uta)G222004-04-01Yes172 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Topi NiemelaRoadrunners (Uta)D242002-03-25No181 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Victor SoderstromRoadrunners (Uta)D252001-02-26No189 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
RFA
Lien / Lien NHL
Zakhar BardakovRoadrunners (Uta)C252001-02-24Yes198 Lbs6 ft2NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.86195 Lbs6 ft21.57904,762$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
3Jacob QuillanFilip Mesar20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow40122
230122
3Scott Morrow20122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Scott Morrow60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott Morrow60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott Morrow
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott Morrow
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Jacob Quillan,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : Sergei Murashov, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Checkers11000000514000000000001100000051421.000591400148804313413812601711412600.00%20100.00%118137148.79%14131045.48%8417049.41%2661952667412762
2Draveurs1010000024-2000000000001010000024-200.000246101488037134138126046131023200.00%50100.00%018137148.79%14131045.48%8417049.41%2661952667412762
3Eagles2110000045-1000000000002110000045-120.500461001148807513413812603110433500.00%110.00%018137148.79%14131045.48%8417049.41%2661952667412762
4HC11000000642110000006420000000000021.0006121800148804713413812603566345120.00%30100.00%018137148.79%14131045.48%8417049.41%2661952667412762
5Iceberg1010000012-11010000012-10000000000000.000123001488037134138126022714172150.00%60100.00%018137148.79%14131045.48%8417049.41%2661952667412762
6Magics11000000422110000004220000000000021.00048120014880311341381260209122222100.00%6183.33%018137148.79%14131045.48%8417049.41%2661952667412762
7Mighty Ducks11000000514000000000001100000051421.0005101500148804213413812601946244125.00%30100.00%018137148.79%14131045.48%8417049.41%2661952667412762
8Nordiques2020000027-52020000027-50000000000000.0002350014880631341381260602520428112.50%10190.00%018137148.79%14131045.48%8417049.41%2661952667412762
9Vikings1010000012-11010000012-10000000000000.0001230014880231341381260227818300.00%20100.00%018137148.79%14131045.48%8417049.41%2661952667412762
Total11560000030282624000001417-35320000016115100.45530568611148803981341381260272928422537616.22%38392.11%118137148.79%14131045.48%8417049.41%2661952667412762
_Since Last GM Reset11560000030282624000001417-35320000016115100.45530568611148803981341381260272928422537616.22%38392.11%118137148.79%14131045.48%8417049.41%2661952667412762
_Vs Conference10460000026260514000001015-5532000001611580.40026487411148803671341381260252837220335411.43%32293.75%118137148.79%14131045.48%8417049.41%2661952667412762
_Vs Division12400000514013000000001110000051442.0005101500148804213413812601946244125.00%30100.00%018137148.79%14131045.48%8417049.41%2661952667412762

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1110L2305686398272928422511
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
115600003028
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
62400001417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200001611
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
37616.22%38392.11%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
134138126014880
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
18137148.79%14131045.48%8417049.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2661952667412762


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
18Vikings2Roadrunners1BLSommaire du match
427Roadrunners3Eagles0AWSommaire du match
545Iceberg2Roadrunners1BLSommaire du match
863Nordiques3Roadrunners1BLSommaire du match
975Roadrunners5Mighty Ducks1AWSommaire du match
1190Roadrunners2Draveurs4ALSommaire du match
13104Roadrunners5Checkers1AWSommaire du match
15116Magics2Roadrunners4BWSommaire du match
17132HC4Roadrunners6BWSommaire du match
22159Nordiques4Roadrunners1BLSommaire du match
24168Roadrunners1Eagles5ALSommaire du match
26190Iceberg-Roadrunners-
27200Roadrunners-WolfPack-
29223WolfPack-Roadrunners-
31229Roadrunners-Griffins-
34251Draveurs-Roadrunners-
35260Roadrunners-IceHogs-
39281Vikings-Roadrunners-
41290Roadrunners-Nordiques-
47316IceHawks-Roadrunners-
51335Roadrunners-Cyclones-
53346Roadrunners-IceHogs-
54354Iceberg-Roadrunners-
56377Eagles-Roadrunners-
59391Roadrunners-Oceanic-
62409WolfPack-Roadrunners-
65434Roadrunners-IceHawks-
66442Cyclones-Roadrunners-
68463Roadrunners-Mighty Ducks-
71469Roadrunners-Sagueneens-
72481Oceanic-Roadrunners-
74502Griffins-Roadrunners-
75518Roadrunners-Eagles-
77533Draveurs-Roadrunners-
79551Roadrunners-WolfPack-
80564Senators-Roadrunners-
82580Roadrunners-Pantheres-
84594Roadrunners-Remparts-
85606Thunder-Roadrunners-
88627EvilSharks-Roadrunners-
90644Roadrunners-Griffins-
92650Roadrunners-Wolves-
93665Wolves-Roadrunners-
96678Roadrunners-Vikings-
98687Roadrunners-SilverKnights-
99701Mighty Ducks-Roadrunners-
101721Roadrunners-Bandits-
102732BaronsOKC-Roadrunners-
105757Sagueneens-Roadrunners-
107781BigBadStars-Roadrunners-
109788Roadrunners-HC-
112804Roadrunners-Senators-
115822BaronsOKC-Roadrunners-
119844Roadrunners-Magics-
120851Nordiques-Roadrunners-
121866Roadrunners-Draveurs-
123883Pantheres-Roadrunners-
125902Roadrunners-Checkers-
126913National-Roadrunners-
128933Roadrunners-Cyclones-
129944Roadrunners-Remparts-
130949IceBears-Roadrunners-
133972Darkness-Roadrunners-
137992Roadrunners-Vikings-
1381004Bandits-Roadrunners-
1401016Roadrunners-Darkness-
1421035IceHogs-Roadrunners-
1431041Roadrunners-Iceberg-
1471061Roadrunners-IceBears-
1481072Roadrunners-EvilSharks-
1491081Remparts-Roadrunners-
1531101Bandits-Roadrunners-
1551122Roadrunners-Spiders-
1571132Magics-Roadrunners-
1581149Roadrunners-Thunder-
1601162Roadrunners-BaronsOKC-
1621171HC-Roadrunners-
1641186Roadrunners-IceBears-
1651202Checkers-Roadrunners-
1691223Roadrunners-National-
1711237Roadrunners-BigBadStars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721241Spiders-Roadrunners-
1771268SilverKnights-Roadrunners-
1821290SilverKnights-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 Murashov80383660.8922.8946576522420760110.88217

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
203982323405641259264-541171502430136134241151903211123130-78925947573404102806810223476073271744234669456117133295617.02%2414083.40%31347246854.58%1280238353.71%700127554.90%209415081889553987510
204011560000030282624000001417-353200000161151030568611148803981341381260272928422537616.22%38392.11%118137148.79%14131045.48%8417049.41%2661952667412762
Total Saison régulière3331501230261710712481141107167825601111526465677916668670156556025742839612482360360861035341435212611660291337523848116310285298228598229135023217.19%123521682.51%1352751113947.36%49861055347.25%2529536847.11%784556318405232038931905
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