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Rimouski Oceanic
GP: 10 | W: 5 | L: 4 | OTL: 1 | P: 11
GF: 54 | GA: 53 | PP%: 35.29% | PK%: 66.67%
DG: Vincent Letourneau | Morale : 66 | Moyenne d’équipe : 58
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Centre de jeu
Rimouski Oceanic
5-4-1, 11pts
3
FINAL
5 Hershey Bears
4-5-1, 9pts
Team Stats
L2StreakW2
2-2-1Home Record3-2-0
3-2-0Away Record1-3-1
5-4-1Last 10 Games4-5-1
5.40Buts par match 5.60
5.30Buts contre par match 7.10
35.29%Pourcentage en avantage numérique34.62%
66.67%Pourcentage en désavantage numérique46.15%
Hershey Bears
4-5-1, 9pts
8
FINAL
6 Rimouski Oceanic
5-4-1, 11pts
Team Stats
W2StreakL2
3-2-0Home Record2-2-1
1-3-1Away Record3-2-0
4-5-1Last 10 Games5-4-1
5.60Buts par match 5.40
7.10Buts contre par match 5.30
34.62%Pourcentage en avantage numérique35.29%
46.15%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Jack McBain
9
Ryan LombergPasses
Ryan Lomberg
14
Points
Jack McBain
21
Sean WalkerPlus/Moins
Sean Walker
7
Victoires
Matt Jurusik
2
Pourcentage d’arrêts
Linden Marshall
0.881

Statistiques d’équipe
Buts pour
54
5.40 GFG
Tirs pour
332
33.20 Avg
Pourcentage en avantage numérique
35.3%
12 GF
Début de zone offensive
33.5%
Buts contre
53
5.30 GAA
Tirs contre
318
31.80 Avg
Pourcentage en désavantage numérique
66.7%
8 GA
Début de la zone défensive
30.5%
Informations de l'équipe

Directeur généralVincent Letourneau
EntraîneurBill Peters
DivisionRon Francis
ConférenceConference 1
CapitaineDominik Simon
Assistant #1Mike Hardman
Assistant #2Sean Walker


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 50
Espoirs35


Historique d'équipe

Saison actuelle5-4-1 (11PTS)
Historique118-110-11 (0.494%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)2-4
Coupe Stanley0


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
1Jack McBain (R)0X100.009848827780674163736072782544447250640221700,000$
2Sasha Chmelevski0XX100.0076439277686575635580557525464667506402311,100,000$
3Shane Pinto0X100.0073437778726340647380587925454564506302111,325,000$
4Matthew Peca0X100.007163917963727466806364656153536750630292762,500$
5Ryan Lomberg0X100.008690567668597059296370772555567050630272800,000$
6Dominik Simon (C)0XX100.007543867769566866386256672565656450620271850,000$
7Maxim Mamin (R)0XXX100.008058897877625458256471612547476850610271700,000$
8Mike Hardman (R) (A)0XX100.009478846878546357446055672546466250590231800,000$
9Cameron Hughes0X100.006660816560616164806360635754546350590252762,500$
10Justin Dowling0X100.006541967065556056575959622557576250580311750,000$
11Nick Swaney (R)0X100.007163906763575662505862625944446350580241700,000$
12James Hamblin (R)0XX100.006962866762666859745063606044446250570232807,500$
13Sean Walker (A)0X100.0073438866707540712562517825606064506402722,650,000$
14Josh Mahura0X100.008244897168646557254949712554546050620241750,000$
15Zachary Jones (R)0X100.006140997062666361255247737546465950600212925,000$
16Dan Renouf0X100.007778766278667148253741653956565350590282762,500$
17Michael Vukojevic (R)0X100.008079816679576050254341643944445450570212850,333$
Rayé
1Ryan MacInnis0X100.0078778164776162607557586655464662505902600$
2Max McCormick0X100.007643726767516258465055692551516050570302762,500$
3Jake McGrew (R)0X100.007268826768525256504958615544445950550232773,333$
4D.J. Busdeker (R)0X100.0069657759656062545057475945444455505402200$
5Justin Richards (R)0X100.007569896369596249614647614544445450530241925,000$
6Jeremy Gregoire0X100.0061704166705961526545535550474753505302600$
7Mathias Laferriere (R)0XX100.007769966969515248604546624444445450530221700,000$
8Reid Duke0X100.0074737660735354506344516148444454505302600$
9Cole Coskey (R)0X100.007670896170474749504944614244445350520231750,000$
10Cristiano DiGiacinto (R)0X100.006866726966494951504751584844445450520261700,000$
11Jeremy McKenna (R)0X100.0071629162624647465042445842444451504902300$
12Kyle Burroughs0X100.009491746872625860254947782549496050630261750,000$
13Lucas Johansen (R)0X100.007467906967596154254746624444445650570241700,000$
14Nicolas Beaudin0X100.006663726663687448254040573846465150550221863,333$
MOYENNE D’ÉQUIPE100.00756282696959595748545466404848605058
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
Rayé
1Matt Jurusik (R)100.00494050765150505453523044445050520251700,000$
2Linden Marshall (R)100.00444050794544454945454544444550480231700,000$
MOYENNE D’ÉQUIPE100.0047405078484748524949384444485050
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bill Peters71777675847863CAN57160,000$


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
1Jack McBainRimouski Oceanic (HAR)C1091221440202848121918.75%524924.971234250000181024.97304195001.6800000021
2Sasha ChmelevskiRimouski Oceanic (HAR)C/RW109112011010121546132719.57%1120420.4223511260000190120.421987011.9600011211
3Ryan LombergRimouski Oceanic (HAR)LW10614206282026730202120.00%818618.670552231011100118.671455002.1400112012
4Dominik SimonRimouski Oceanic (HAR)C/LW1031013-1401592292413.64%417617.64235322000012017.64263001.4700000000
5Sean WalkerRimouski Oceanic (HAR)D10481277517201891122.22%1527027.02314430000022100.00%0617000.8900010110
6Maxim MaminRimouski Oceanic (HAR)C/LW/RW103811-10017112481612.50%117417.49066222000000017.49577001.2600000010
7Shane PintoRimouski Oceanic (HAR)C104610-21152093361312.12%213713.7700001000010013.776666011.4500100011
8Matthew PecaRimouski Oceanic (HAR)C10549-1001393992712.82%618318.37224421000270018.3711144000.9800000100
9Zachary JonesRimouski Oceanic (HAR)D10257-8005993422.22%1019119.11101116000111000.00%0112000.7300000000
10Cameron HughesRimouski Oceanic (HAR)C10246-25566131515.38%0787.850000001109007.852921001.5300100101
11Josh MahuraRimouski Oceanic (HAR)D10134-720121272514.29%919919.96112217000011100.00%018000.4000000000
12Mike HardmanRimouski Oceanic (HAR)LW/RW9123-30061086512.50%512013.4100000000000013.41243000.5000000000
13James HamblinRimouski Oceanic (HAR)C/LW10303-22036102530.00%1686.810000000000006.81220000.8800000001
14Nick SwaneyRimouski Oceanic (HAR)RW9112-300710173135.88%511913.2400000000000013.24344000.3400000000
15Justin DowlingRimouski Oceanic (HAR)C10011-100120110.00%0393.900000400001003.90610000.5100000000
16Kyle BurroughsRimouski Oceanic (HAR)D2011120741100.00%24120.680000500003000.00%004000.4800000000
17Dan RenoufRimouski Oceanic (HAR)D10000-4115971120.00%713713.750000300000000.00%003000.00%00100000
18Michael VukojevicRimouski Oceanic (HAR)D10000-395371000.00%413013.010000000002000.00%006000.00%00010000
Statistiques d’équipe totales ou en moyenne1705390143-19955519918132710619816.21%95270815.931223353322211241215255.42%5637695021.0600443577
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
1Linden MarshallRimouski Oceanic (HAR)52210.8814.11190001310976000.00%017000
2Matt JurusikRimouski Oceanic (HAR)62000.8065.92213002110866000.00%060000
Statistiques d’équipe totales ou en moyenne114210.8435.06403003421714200077000


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 Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Cameron HughesRimouski Oceanic (HAR)C251996-10-09No160 Lbs5 ft11NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Cole CoskeyRimouski Oceanic (HAR)RW231999-06-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Cristiano DiGiacintoRimouski Oceanic (HAR)LW261996-01-10Yes183 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
D.J. BusdekerRimouski Oceanic (HAR)RW221999-09-25Yes181 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien
Dan RenoufRimouski Oceanic (HAR)D281994-06-01No198 Lbs6 ft3NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Dominik SimonRimouski Oceanic (HAR)C/LW271994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm850,000$0$0$NoLien / Lien NHL
Jack McBainRimouski Oceanic (HAR)C222000-06-06Yes212 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
Jake McGrewRimouski Oceanic (HAR)RW231999-02-25Yes190 Lbs5 ft10NoNoNo2Pro & Farm773,333$0$0$No773,333$Lien / Lien NHL
James HamblinRimouski Oceanic (HAR)C/LW231999-04-27Yes176 Lbs5 ft9NoNoNo2Pro & Farm807,500$0$0$No807,500$Lien / Lien NHL
Jeremy GregoireRimouski Oceanic (HAR)C261995-09-05No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Jeremy McKennaRimouski Oceanic (HAR)RW231999-04-20Yes174 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Josh MahuraRimouski Oceanic (HAR)D241998-05-05No186 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Justin DowlingRimouski Oceanic (HAR)C311990-10-01No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Justin RichardsRimouski Oceanic (HAR)C241998-03-17Yes190 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Kyle BurroughsRimouski Oceanic (HAR)D261995-07-12No193 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Linden MarshallRimouski Oceanic (HAR)G231998-07-21Yes194 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Lucas JohansenRimouski Oceanic (HAR)D241997-11-16Yes176 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Mathias LaferriereRimouski Oceanic (HAR)C/RW222000-06-27Yes181 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Matt JurusikRimouski Oceanic (HAR)G251997-05-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Matthew PecaRimouski Oceanic (HAR)C291993-04-27No182 Lbs5 ft8NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Max McCormickRimouski Oceanic (HAR)LW301992-05-01No188 Lbs5 ft11NoNoNo2Pro & Farm762,500$0$0$No762,500$Lien / Lien NHL
Maxim MaminRimouski Oceanic (HAR)C/LW/RW271995-01-13Yes206 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Michael VukojevicRimouski Oceanic (HAR)D212001-06-08Yes212 Lbs6 ft3NoNoNo2Pro & Farm850,333$0$0$No850,333$Lien / Lien NHL
Mike HardmanRimouski Oceanic (HAR)LW/RW231999-02-05Yes205 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien
Nick SwaneyRimouski Oceanic (HAR)RW241997-09-09Yes179 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$No
Nicolas BeaudinRimouski Oceanic (HAR)D221999-10-07No174 Lbs5 ft11NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Reid DukeRimouski Oceanic (HAR)C261996-01-28No201 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Ryan LombergRimouski Oceanic (HAR)LW271994-12-09No187 Lbs5 ft9NoNoNo2Pro & Farm800,000$0$0$No800,000$Lien / Lien NHL
Ryan MacInnisRimouski Oceanic (HAR)C261996-02-14No201 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Sasha ChmelevskiRimouski Oceanic (HAR)C/RW231999-06-09No187 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$0$0$NoLien
Sean WalkerRimouski Oceanic (HAR)D271994-11-13No196 Lbs5 ft11NoNoNo2Pro & Farm2,650,000$0$0$No2,650,000$Lien / Lien NHL
Shane PintoRimouski Oceanic (HAR)C212000-11-12No192 Lbs6 ft2NoNoNo1Pro & Farm1,325,000$0$0$NoLien NHL
Zachary JonesRimouski Oceanic (HAR)D212000-10-18Yes172 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.67189 Lbs6 ft01.15736,955$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergJack McBainSasha Chmelevski40122
2Dominik SimonMatthew PecaMaxim Mamin30122
3Mike HardmanShane PintoNick Swaney20122
4James HamblinCameron HughesJack McBain10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Walker40122
2Josh MahuraZachary Jones30122
3Dan RenoufMichael Vukojevic20122
4Sean Walker10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan LombergJack McBainSasha Chmelevski60122
2Dominik SimonMatthew PecaMaxim Mamin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Walker60122
2Josh MahuraZachary Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainSasha Chmelevski60122
2Ryan LombergMatthew Peca40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Walker60122
2Josh MahuraZachary Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack McBain60122Sean Walker60122
2Sasha Chmelevski40122Josh MahuraZachary Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack McBainSasha Chmelevski60122
2Ryan LombergMatthew Peca40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sean Walker60122
2Josh MahuraZachary Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergJack McBainSasha ChmelevskiSean Walker
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergJack McBainSasha ChmelevskiSean Walker
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Dowling, Shane Pinto, Cameron HughesJustin Dowling, Shane PintoCameron Hughes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dan Renouf, Michael Vukojevic, Josh MahuraDan RenoufMichael Vukojevic, Josh Mahura
Tirs de pénalité
Jack McBain, Sasha Chmelevski, Ryan Lomberg, Matthew Peca, Shane Pinto
Gardien
#1 : , #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Hartford Wolf Pack210001009811000010045-11100000053230.7509172600142416069110130920582217483133.33%6183.33%110618956.08%9117252.91%11520356.65%21912118889192101
2Hershey Bears20200000913-41010000068-21010000035-200.0009152400142416052110130920642748354125.00%4325.00%010618956.08%9117252.91%11520356.65%21912118889192101
3Manitoba Moose202000001015-51010000067-11010000048-400.00010152500142416070110130920602210498337.50%5260.00%010618956.08%9117252.91%11520356.65%21912118889192101
4Quebec Rempart2200000015123110000007611100000086241.000152439001424160771101309206320163614428.57%3166.67%010618956.08%9117252.91%11520356.65%21912118889192101
5Worcester Sharks220000001156110000006241100000053241.00011203100142416064110130920731312335360.00%6183.33%010618956.08%9117252.91%11520356.65%21912118889192101
Total1054001005453152200100292815320000025250110.5505491145001424160332110130920318104103201341235.29%24866.67%110618956.08%9117252.91%11520356.65%21912118889192101
_Since Last GM Reset1054001005453152200100292815320000025250110.5505491145001424160332110130920318104103201341235.29%24866.67%110618956.08%9117252.91%11520356.65%21912118889192101
_Vs Conference1054001005453152200100292815320000025250110.5505491145001424160332110130920318104103201341235.29%24866.67%110618956.08%9117252.91%11520356.65%21912118889192101

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011L2549114533231810410320100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
105401005453
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52201002928
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200002525
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
341235.29%24866.67%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
1101309201424160
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
10618956.08%9117252.91%11520356.65%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
21912118889192101


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
2 - 2022-09-2615Manitoba Moose7Rimouski Oceanic6BLSommaire du match
3 - 2022-09-2727Rimouski Oceanic4Manitoba Moose8ALSommaire du match
5 - 2022-09-2949Quebec Rempart6Rimouski Oceanic7BWSommaire du match
7 - 2022-10-0168Hartford Wolf Pack5Rimouski Oceanic4BLXSommaire du match
8 - 2022-10-0287Rimouski Oceanic5Hartford Wolf Pack3AWSommaire du match
10 - 2022-10-04102Worcester Sharks2Rimouski Oceanic6BWSommaire du match
12 - 2022-10-06124Rimouski Oceanic5Worcester Sharks3AWSommaire du match
13 - 2022-10-07129Rimouski Oceanic8Quebec Rempart6AWSommaire du match
14 - 2022-10-08139Rimouski Oceanic3Hershey Bears5ALSommaire du match
15 - 2022-10-09155Hershey Bears8Rimouski Oceanic6BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,431,949$ 2,142,449$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Rimouski Oceanic 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
1Brendan Leipsic256232272504-64164384412123218.83%236564522.05761001761400002016838.85201.79820
2Blake Pietila260172236408-64528368372104416.48%200525520.2256481041320883624456.80161.551216
3Chris Stewart28015616031612888484296123212.66%120457016.32322860120044024432.2081.3800
4Luke Philp216108132240-826431234486012.56%80371417.2028366410040484051.2541.2944
5Cam Darcy30876128204-489627635664811.73%80400913.02088040448450.8601.0200

Rimouski Oceanic 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
1Matt Tomkins23797120140.8714.86129771201050810948942480.63655
2Filip Gustavsson132642440.9053.56654316038840802560800.00%0
3Kai Edmonds44231240.8834.132470201701451759400.75020

Rimouski Oceanic 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
202082334101232399414-1541192000020195190541142101212204224-207839966710662098156141733691120110311402031291087146417742439338.27%2328364.22%7759184941.05%696169641.04%695161942.93%1716101217577831476682
202082334101232399414-1541192000020195190541142101212204224-207839966710662098156141733691120110311402031291087146417742439338.27%2328364.22%7759184941.05%696169641.04%695161942.93%1716101217577831476682
20217837280344236533035392112021212001604039161601321165170-5943655819460088148122102806922974891422757981108017732458333.88%1495364.43%2885168652.49%794156050.90%701139450.29%165489715477221515775
Total Saison régulière24210311005810611631158512159520216159054050121445803745573618-452501163191530784028446040424954431623180317182901531554008532173126936.80%61321964.27%162403538444.63%2186495244.14%2091463245.14%508729215063228844672139
Séries éliminatoires
2021624000002226-4321000001511430300000715-8422375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553
Total Séries éliminatoires624000002226-4321000001511430300000715-8422375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553

Rimouski Oceanic 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
1Tyler Sikura631013674141421.43%412320.55011200000061.3902.1100
2Kenny Agostino66612621182623.08%312721.31000200001071.4311.8800
3Mike Hardman56511601172722.22%310320.74101200000133.3302.1200
4Dominik Simon6505-20842817.86%39015.1400000000100.00%11.1000
5Matthew Peca6044-2065240.00%39015.14000000000061.6400.8800

Rimouski Oceanic 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
1Kai Edmonds62310.8964.013290022211114000.00%0
2Matt Tomkins10000.6927.5032004137000.00%0