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Rimouski Oceanic
GP: 6 | W: 2 | L: 4
GF: 22 | GA: 26 | PP%: 9.09% | PK%: 100.00%
DG: Vincent Letourneau | Morale : 28 | Moyenne d’équipe : 57
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Centre de jeu
Rimouski Oceanic
2-4-0, 4pts
3
FINAL
5 Philadelphia Phantoms
5-6-0, 10pts
Team Stats
OTL1StreakL2
2-1-0Home Record3-3-0
0-3-0Away Record2-3-0
2-3-1Last 10 Games4-6-0
3.67Buts par match 3.82
4.33Buts contre par match 4.55
9.09%Pourcentage en avantage numérique16.67%
100.00%Pourcentage en désavantage numérique80.00%
Philadelphia Phantoms
5-6-0, 10pts
6
FINAL
5 Rimouski Oceanic
2-4-0, 4pts
Team Stats
L2StreakOTL1
3-3-0Home Record2-1-0
2-3-0Away Record0-3-0
4-6-0Last 10 Games2-3-1
3.82Buts par match 3.67
4.55Buts contre par match 4.33
16.67%Pourcentage en avantage numérique9.09%
80.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Mike Hardman
6
Passes
Mike Hardman
5
Points
Mike Hardman
11
Plus/Moins
Mike Hardman
6
Kai EdmondsVictoires
Kai Edmonds
2
Kai EdmondsPourcentage d’arrêts
Kai Edmonds
0.896

Statistiques d’équipe
Buts pour
22
3.67 GFG
Tirs pour
264
44.00 Avg
Pourcentage en avantage numérique
9.1%
1 GF
Début de zone offensive
38.7%
Buts contre
26
4.33 GAA
Tirs contre
224
37.33 Avg
Pourcentage en désavantage numérique
100.0%
0 GA
Début de la zone défensive
33.5%
Information d’équipe

Directeur généralVincent Letourneau
EntraîneurBenoit Groulx
DivisionRon Francis
ConférenceConference 1
CapitaineDominik Simon
Assistant #1Justin Dowling
Assistant #2Cameron Hughes


Informations de l’aréna

Capacité3,000
Assistance1,876
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 55
Espoirs34


Historique d'équipe

Saison actuelle2-4
Historique242-288-41 (0.424%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)2-4
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
1Kenny AgostinoXX100.007374726774636268506566676355556664620291811,250$
2Nick Baptiste (R)X100.007774846474616163505864656144446486600251700,000$
3Matthew PecaX100.007063868263606159745756635352526186600281750,000$
4Tyler SikuraXX100.007468896268687063795865646244446586600291750,000$
5Justin Dowling (A)X100.006742927065585768585958572555565986590302750,000$
6Ryan LombergX100.009299486669545759256060742547476192590261725,000$
7Justin Richards (R)X100.007469846469565560755858635544446186580232925,000$
8James Hamblin (R)XX100.007362986762727756705057625444446186580221700,000$
9Dominik Simon (C)XX100.007643997769546055375457542563645887580261750,000$
10D.J. Busdeker (R)X100.007265885965646659505658625544446184570211700,000$
11Lean BergmannXX100.008176927576606349504746644445455676560221836,677$
12Max McCormickX100.007843796067505852445870552549496329560291700,000$
13Dan RenoufX100.007644756274546255255247702555555676600271800,000$
14Nicolas BeaudinX100.006942966663636863255551612545456086580212863,333$
15Michael Vukojevic (R)X100.007679686679646852254940623844445493580203850,333$
16Kyle BurroughsX100.007570886570586051254444614045455481560252750,000$
Rayé
1Cameron Hughes (A)X100.006560766560616164806558625554546271590241750,000$
2Ryan MacInnisX100.007744996477555860565055692546466022570251750,000$
3Reid DukeX100.007573786073545458735260635744446020560251700,000$
4Cole Coskey (R)X100.007670916170596154504657635444445920550221700,000$
5Jeremy McKenna (R)X100.006862836262636556505454595144445820550221700,000$
6Jeremy GregoireX100.006370476670646852655247564547475320540251700,000$
7Jake McGrew (R)X100.007767996867484852504554635144445820540223773,333$
8Derek BarachXX100.0065588166586164496146475645444453205202600$
9Jeffrey VielX100.008545436471485652255055522545454819520222750,000$
10Patrick SieloffX100.006975556175525445253441573944444920520271700,000$
MOYENNE D’ÉQUIPE100.00746380666959615750535562434747585957
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
1Kai Edmonds (R)100.00615771637067405758543044445885570201700,000$
2Matt Tomkins (R)100.00535569795555505853523044445485560271750,000$
Rayé
MOYENNE D’ÉQUIPE100.0057567071636145585653304444568557
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx76757379827769CAN53160,000$


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
1Tyler SikuraRimouski Oceanic (HAR)C/LW6310136754141481321.43%412320.55011210000000061.39%20223002.1100100010
2Kenny AgostinoRimouski Oceanic (HAR)C/LW666126201182692723.08%312721.31000210000011071.43%1474011.8800000102
3Mike HardmanWhalersLW/RW565116001172782522.22%310320.7410127000000133.33%1222002.1200000110
4Dominik SimonRimouski Oceanic (HAR)C/LW6505-200842821417.86%39015.140000000000100.00%382011.1000000100
5Matthew PecaRimouski Oceanic (HAR)C6044-2006524870.00%39015.1400000000000061.64%73103000.8800000000
6James HamblinRimouski Oceanic (HAR)C/LW6033-400115225180.00%210016.8200039000000065.00%2034000.5900000000
7Max McCormickRimouski Oceanic (HAR)LW1022000102020.00%02222.180000300000000.00%101001.8000000000
8Nick BaptisteRimouski Oceanic (HAR)RW6022-4001192610230.00%110016.7400039000000033.33%372000.4000000000
9Jacob MiddletonWhalersD60221004711360.00%1415125.3200021300003000.00%026000.2600000000
10Zachary JonesWhalersD601110061410650.00%615125.2600001300003000.00%073000.1300000000
11Nicolas BeaudinRimouski Oceanic (HAR)D6011-7002418430.00%412621.120002600002000.00%004000.1600000000
12Justin DowlingRimouski Oceanic (HAR)C6101-3003211639.09%2518.6600002000000050.00%830000.3800000000
13Cameron HughesRimouski Oceanic (HAR)C2101-1005341225.00%33015.0100002000000073.33%1510000.6700000000
14Michael VukojevicRimouski Oceanic (HAR)D601111515888320.00%48013.410000000000000.00%024000.2500300000
15Lean BergmannRimouski Oceanic (HAR)LW/RW6000-30014811560.00%49115.2700000000000033.33%604000.0000000000
16Justin RichardsRimouski Oceanic (HAR)C6000-100200000.00%050.930000000000000.00%000000.0000000000
17Dan RenoufRimouski Oceanic (HAR)D6000-7201066260.00%512621.140002600001000.00%003000.0000000000
18D.J. BusdekerRimouski Oceanic (HAR)RW6000-400243000.00%0366.030000000000000.00%000000.0000000000
19Kyle BurroughsRimouski Oceanic (HAR)D6000100628630.00%18514.280000000000000.00%002000.0000000000
20Ryan LombergRimouski Oceanic (HAR)LW6000-500834140.00%3406.68000000000300100.00%111000.0000000000
Statistiques d’équipe totales ou en moyenne110223759-212620133113263871698.37%65173815.8111218970000172160.06%3585548020.6800400322
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
1Kai EdmondsRimouski Oceanic (HAR)62310.8964.013290022211114000.000051000
2Matt TomkinsRimouski Oceanic (HAR)10000.6927.5032004137000.000015000
Statistiques d’équipe totales ou en moyenne72310.8844.323610026224121000.000066000


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)C241996-10-09No160 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Cole CoskeyRimouski Oceanic (HAR)RW221999-06-01Yes190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
D.J. BusdekerRimouski Oceanic (HAR)RW211999-09-25Yes181 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Dan RenoufRimouski Oceanic (HAR)D271994-06-01No198 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Derek BarachRimouski Oceanic (HAR)C/RW261995-02-27No165 Lbs5 ft8NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Dominik SimonRimouski Oceanic (HAR)C/LW261994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jake McGrewRimouski Oceanic (HAR)RW221999-02-25Yes187 Lbs5 ft11NoNoNo3Pro & Farm773,333$0$0$No773,333$773,333$Lien / Lien NHL
James HamblinRimouski Oceanic (HAR)C/LW221999-04-27Yes176 Lbs5 ft9NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jeffrey VielRimouski Oceanic (HAR)LW221999-01-28No197 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Jeremy GregoireRimouski Oceanic (HAR)C251995-09-05No193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jeremy McKennaRimouski Oceanic (HAR)RW221999-04-20Yes174 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Justin DowlingRimouski Oceanic (HAR)C301990-10-01No180 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Justin RichardsRimouski Oceanic (HAR)C231998-03-17Yes190 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Kai EdmondsRimouski Oceanic (HAR)G202000-07-27Yes163 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Kenny AgostinoRimouski Oceanic (HAR)C/LW291992-04-30No200 Lbs6 ft1NoNoNo1Pro & Farm811,250$0$0$NoLien / Lien NHL
Kyle BurroughsRimouski Oceanic (HAR)D251995-07-12No193 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Lean BergmannRimouski Oceanic (HAR)LW/RW221998-10-04No205 Lbs6 ft2NoNoNo1Pro & Farm836,677$0$0$NoLien / Lien NHL
Matt TomkinsRimouski Oceanic (HAR)G271994-06-19Yes194 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Matthew PecaRimouski Oceanic (HAR)C281993-04-27No182 Lbs5 ft8NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Max McCormickRimouski Oceanic (HAR)LW291992-05-01No188 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Michael VukojevicRimouski Oceanic (HAR)D202001-06-08Yes212 Lbs6 ft3NoNoNo3Pro & Farm850,333$0$0$No850,333$850,333$Lien NHL
Nick BaptisteRimouski Oceanic (HAR)RW251995-08-04Yes203 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Nicolas BeaudinRimouski Oceanic (HAR)D211999-10-07No174 Lbs5 ft11NoNoNo2Pro & Farm863,333$0$0$No863,333$Lien / Lien NHL
Patrick SieloffRimouski Oceanic (HAR)D271994-05-15No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Reid DukeRimouski Oceanic (HAR)C251996-01-28No201 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Ryan LombergRimouski Oceanic (HAR)LW261994-12-09No187 Lbs5 ft9NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Ryan MacInnisRimouski Oceanic (HAR)C251996-02-14No201 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Tyler SikuraRimouski Oceanic (HAR)C/LW291992-05-18No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2824.64188 Lbs6 ft01.29726,247$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kenny AgostinoTyler SikuraMax McCormick40023
2Justin DowlingJames HamblinNick Baptiste30023
3Dominik SimonMatthew PecaLean Bergmann30023
4Ryan LombergJustin DowlingD.J. Busdeker0122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140032
2Dan RenoufNicolas Beaudin35032
3Michael Vukojevic25032
40041
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kenny AgostinoTyler SikuraMax McCormick60014
2Justin DowlingJames HamblinNick Baptiste40014
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160023
2Dan RenoufNicolas Beaudin40023
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kenny AgostinoRyan Lomberg60041
2Tyler SikuraRyan Lomberg40041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160050
2Dan RenoufNicolas Beaudin40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kenny Agostino6005060050
2Ryan Lomberg40050Dan RenoufNicolas Beaudin40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kenny AgostinoMax McCormick60014
2Tyler SikuraMatthew Peca40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160032
2Dan RenoufNicolas Beaudin40032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kenny AgostinoTyler SikuraMax McCormick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergJames HamblinNick Baptiste
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max McCormick, Justin Richards, Kenny AgostinoMax McCormick, Justin RichardsMax McCormick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Dan RenoufDan Renouf,
Tirs de pénalité
Kenny Agostino, Nick Baptiste, Tyler Sikura, Matthew Peca, Justin Dowling
Gardien
#1 : Matt Tomkins, #2 : Kai Edmonds


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
1Philadelphia Phantoms624000002226-4321000001511430300000715-840.33322375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553
Total624000002226-4321000001511430300000715-840.33322375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553
_Since Last GM Reset624000002226-4321000001511430300000715-840.33322375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553
_Vs Conference624000002226-4321000001511430300000715-840.33322375900712302647811175022465261331119.09%30100.00%09814866.22%7112855.47%5710653.77%141881155010553

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64OTL1223759264224652613300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001511
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000715
Derniers 10 matchs
WLOTWOTL SOWSOL
230100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1119.09%30100.00%0
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
7811175071230
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
9814866.22%7112855.47%5710653.77%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
141881155010553


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
1 - 2021-10-153Rimouski Oceanic2Philadelphia Phantoms4ALSommaire du match
2 - 2021-10-1611Rimouski Oceanic2Philadelphia Phantoms6ALSommaire du match
3 - 2021-10-1719Philadelphia Phantoms3Rimouski Oceanic6BWSommaire du match
4 - 2021-10-1827Philadelphia Phantoms2Rimouski Oceanic4BWSommaire du match
5 - 2021-10-1935Rimouski Oceanic3Philadelphia Phantoms5ALSommaire du match
6 - 2021-10-2043Philadelphia Phantoms6Rimouski Oceanic5BLXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance4,0551,573
Assistance PCT67.58%52.43%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 1876 - 62.53% 124,137$372,410$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,033,492$ 2,013,492$ 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%236564522.05761001761400002016838.85%201.79820
2Blake Pietila260172236408-64528368372104416.48%200525520.2256481041320883624456.80%161.551216
3Chris Stewart28015616031612888484296123212.66%120457016.32322860120044024432.20%81.3800
4Luke Philp216108132240-826431234486012.56%80371417.2028366410040484051.25%41.2944
5Cam Darcy30876128204-489627635664811.73%80400913.02088040448450.86%01.0200

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 Gustavsson132642440.9053.56654316038840802560800.0000
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
201682254304433340411-7141142002320170198-2841112302113170213-43503405388783067143123828968411068970343062970259018952205525.00%28211060.99%12871184347.26%846181746.56%696156544.47%165588717437951568754
201782235006201318402-8441112601201152199-4741122405000166203-3746318526844208010412862675768955935202877972154014872157735.81%2508864.80%3896172651.91%839164850.91%681142647.76%161381316957841626824
201882303904513324354-3041141802313172174-241162102200152180-2860324508832107610813592416702817868452961977127414982118339.34%2257566.67%5775150451.53%922179351.42%693138849.93%150870417538121693863
201982214604335275371-964192401322133188-5541122203013142183-41422754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899
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 régulière57020228802322171824202696-276285107140081211712171299-82285951480151061112031397-19444824203938635810055992889357195865976676767202352095870711057311500154955235.64%159057663.77%4255441175947.15%55841196346.68%47771034646.17%113045959120715486110745481
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%412320.55011200000061.39%02.1100
2Kenny Agostino66612621182623.08%312721.31000200001071.43%11.8800
3Mike Hardman56511601172722.22%310320.74101200000133.33%02.1200
4Dominik Simon6505-20842817.86%39015.1400000000100.00%11.1000
5Matthew Peca6044-2065240.00%39015.14000000000061.64%00.8800

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 Edmonds62310.8964.013290022211114000.0000
2Matt Tomkins10000.6927.5032004137000.0000