Rimouski Oceanic

GP: 82 | W: 28 | L: 46 | OTL: 8 | P: 64
GF: 275 | GA: 371 | PP%: 39.53% | PK%: 61.82%
DG: Robert Breton | Morale : 25 | Moyenne d'Équipe : 58
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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 SP
1Andrew PoturalskiXXX100.007165866265869168806962665955556764640
2Riley BarberXXX100.006970656670767967506269626644446760620
3Nick PaulXX100.007945937186528063465961522548486151590
4Felix GirardX100.006869666769818950634846594451515424560
5Ryan MacInnisX100.007571836071748053665546624444445649560
6Steven FogartyX100.006743996277488653455055552544445845550
7Reid DukeX100.007370796570525255694956615344445834550
8Ryan Dmowski (R)X100.008275996775484755506144664244445721550
9Deven SideroffX100.007163896363545553505644624252525441540
10Connor CliftonX100.008678787465758055254850764555555951650
11Connor CarrickX100.006962837770716165256148712564646240640
12Taylor FedunX100.006342917172637663255449762556566152630
13Andreas EnglundX100.007071687471788648253741613955555449600
14Dan RenoufX100.007076556676829051254640613853535445600
15Mark AltX100.007977856877636749254042634044445435580
16Kyle CapobiancoX100.006666656466636462255852604944445946570
17Kyle BurroughsX100.006973596273798847253741573944445142570
18William Borgen (R)X100.007270786770697546253740593844445222560
19Jake CheliosX100.007570886170657048254039623749495234560
Rayé
1Jordan NolanXXX100.008145727380518764256255692567696420620
2Nicholas BaptisteX100.008075907375808756505058655545456320600
3Mark McNeillX100.007978816678666957715654655144446120580
4Tyler SikuraXX100.007772876872737856705354645144446020580
5Ben SextonX100.007170746770575758735654645155555926570
6Jeremy GregoireX100.006670576470758153664754585147475620550
7Grayson DowningX100.006871616771525350504746594450505219520
8Tim CliftonX100.007971996771474748604744634244445315520
9Marco RoyX100.007265886565576046584146594444445220510
MOYENNE D'ÉQUIPE100.00736779677266735546515063424949583558
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 SP
1Chris Nell100.00665063677065727571713044446736640
2Filip Gustavsson (R)100.00506379724650505648483044445128530
Rayé
1Tyler Parsons (R)100.00494759704949505449493044445020510
MOYENNE D'ÉQUIPE100.0055536770555557625656304444562856
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Dennis55504350473547CAN51160,000$


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
1Riley BarberRimouski Oceanic (ANA)C/LW/RW765255107-351619514515335910722114.48%74185924.461219313311712381288543.22%13057153011.1528649843
2Nick PaulRimouski Oceanic (ANA)C/LW62314475-172620841202087013614.90%47139522.518101824800224874344.59%6104631001.0707211466
3Connor CarrickRimouski Oceanic (ANA)D79194968-221458586153168697411.31%115187923.79131225271280114167100.00%05279010.7200683223
4Jordan NolanRimouski Oceanic (ANA)C/LW/RW40293059339156465144479520.14%3796524.14761322512023772133.73%834132031.2214021631
5Ben SextonRimouski Oceanic (ANA)C64273158-141066086120143349518.88%46136521.33551014722023511152.20%5923434000.8512444123
6Deven SideroffRimouski Oceanic (ANA)RW66183755-23252575106114387815.79%38131219.89314171499000120254.76%843031100.8401203121
7Ryan DmowskiRimouski Oceanic (ANA)LW63252651-19422067115155488916.13%35117318.636111714820000333039.29%562629000.8700031123
8Taylor FedunRimouski Oceanic (ANA)D7973138-19204513311331466.19%131173521.974812131100006150010.00%02675000.4400000010
9Felix GirardRimouski Oceanic (ANA)C79112637-1710135105141104386610.58%46149418.922576640111332052.16%4853133000.5022061111
10Ryan MacInnisRimouski Oceanic (ANA)C82132235-17423087128102396612.75%43139917.0717810391012441045.95%3461942000.5001321010
11Connor CliftonRimouski Oceanic (ANA)D5761319-19104806610053262311.32%83125622.053251184000098010.00%01259100.30002410001
12Reid DukeRimouski Oceanic (ANA)C828917-286030627870234111.43%2998211.980112240003332048.56%2082527000.3500032010
13Steven FogartyRimouski Oceanic (ANA)C828816-2700347856213414.29%1688710.821231190000231238.46%1691523000.3600000002
14Andreas EnglundRimouski Oceanic (ANA)D7801313-2261355581468180.00%64133117.07000263000276000.00%21233000.2000214000
15Dan RenoufRimouski Oceanic (ANA)D7901212-161044071672821160.00%66127116.090113510000590020.00%5935000.1900341000
16Andrew PoturalskiRimouski Oceanic (ANA)C/LW/RW72911-417151118291086.90%218025.741452110001130152.72%184312001.2201102110
17Mark AltRimouski Oceanic (ANA)D71055-719153344119110.00%4183811.81000030001280050.00%2227000.1200021000
18Kyle BurroughsRimouski Oceanic (ANA)D69033-165325172414370.00%225978.660000000006000.00%1114000.1000311000
19Kyle CapobiancoRimouski Oceanic (ANA)D78112-20221017342318154.35%176548.390000100009000.00%1620000.0600002000
20Grayson DowningRimouski Oceanic (ANA)C27112-960101611489.09%52168.03000130000190054.84%3112000.1800000001
21William BorgenRimouski Oceanic (ANA)D46000-9606194110.00%72425.2700009000010025.00%406000.0000000000
22Jake CheliosRimouski Oceanic (ANA)D54000-600931210.00%11903.54000020000180025.00%405000.0000000000
23Tim CliftonRimouski Oceanic (ANA)C11000-900581000.00%11009.16000110000100047.62%2100000.0000000000
Stats d'équipe Total ou en Moyenne1431258425683-3721141635124018041957667114913.18%9662333116.306610717320011226612391176251746.43%4193462702250.59626344547252625
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
1Chris NellRimouski Oceanic (ANA)47211940.9063.332689401491588843400.750204412411
2Filip GustavssonRimouski Oceanic (ANA)3271930.8665.151621001391041636200.33363032111
3Tyler ParsonsRimouski Oceanic (ANA)110510.8466.194070042272165000.0000523000
Stats d'équipe Total ou en Moyenne90284380.8864.2047184033029011644600.654267967522


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Andreas EnglundRimouski Oceanic (ANA)D221996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Andrew PoturalskiRimouski Oceanic (ANA)C/LW/RW241994-01-14No181 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Ben SextonRimouski Oceanic (ANA)C271991-06-06No196 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien
Chris NellRimouski Oceanic (ANA)G231994-09-02No178 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Connor CarrickRimouski Oceanic (ANA)D241994-04-13No192 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Connor CliftonRimouski Oceanic (ANA)D231995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Dan RenoufRimouski Oceanic (ANA)D241994-06-01No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Deven SideroffRimouski Oceanic (ANA)RW211997-04-14No171 Lbs5 ft11NoNoNo2Pro & Farm911,000$0$0$No911,000$Lien
Felix GirardRimouski Oceanic (ANA)C241994-05-09No197 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLien
Filip GustavssonRimouski Oceanic (ANA)G201998-06-07Yes184 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLien
Grayson DowningRimouski Oceanic (ANA)C261992-04-18No197 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien
Jake CheliosRimouski Oceanic (ANA)D271991-03-08No185 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Jeremy GregoireRimouski Oceanic (ANA)C221995-09-05No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Jordan NolanRimouski Oceanic (ANA)C/LW/RW291989-06-22No219 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Kyle BurroughsRimouski Oceanic (ANA)D221995-07-12No203 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$NoLien
Kyle CapobiancoRimouski Oceanic (ANA)D201997-08-13No178 Lbs6 ft1NoNoNo2Pro & Farm745,000$0$0$No745,000$Lien
Marco RoyRimouski Oceanic (ANA)C231994-11-05No175 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Mark AltRimouski Oceanic (ANA)D261991-10-17No201 Lbs6 ft4NoNoNo1Pro & Farm725,000$0$0$NoLien
Mark McNeillRimouski Oceanic (ANA)C251993-02-22No214 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
Nicholas BaptisteRimouski Oceanic (ANA)RW221995-08-04No206 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Nick PaulRimouski Oceanic (ANA)C/LW231995-03-20No230 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Reid DukeRimouski Oceanic (ANA)C221996-01-28No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Riley BarberRimouski Oceanic (ANA)C/LW/RW241994-02-07No193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Ryan DmowskiRimouski Oceanic (ANA)LW211997-03-18Yes209 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLien
Ryan MacInnisRimouski Oceanic (ANA)C221996-02-13No185 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLien
Steven FogartyRimouski Oceanic (ANA)C251993-04-18No206 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien
Taylor FedunRimouski Oceanic (ANA)D301988-06-04No198 Lbs6 ft1NoNoNo2Pro & Farm737,500$0$0$No737,500$Lien
Tim CliftonRimouski Oceanic (ANA)C261992-05-22No194 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien
Tyler ParsonsRimouski Oceanic (ANA)G201997-09-18Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Tyler SikuraRimouski Oceanic (ANA)C/LW261992-05-18No194 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
William BorgenRimouski Oceanic (ANA)D211996-12-19Yes187 Lbs6 ft2NoNoNo3Pro & Farm864,166$0$0$No864,166$864,166$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.68194 Lbs6 ft11.10614,735$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff40122
2Ryan DmowskiNick PaulFelix Girard30122
3Andrew PoturalskiFelix GirardRiley Barber20122
4Nick PaulRyan MacInnisRyan Dmowski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick40122
2Taylor FedunAndreas Englund30122
3Dan RenoufMark Alt20122
4Kyle CapobiancoKyle Burroughs10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff60122
2Ryan DmowskiNick PaulFelix Girard40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Andrew Poturalski60122Connor CliftonConnor Carrick60122
2Riley Barber40122Taylor FedunAndreas Englund40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reid Duke, Steven Fogarty, Ryan MacInnisReid Duke, Steven FogartyRyan MacInnis
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
William Borgen, Jake Chelios, Dan RenoufWilliam BorgenJake Chelios, Dan Renouf
Tirs de Pénalité
Andrew Poturalski, Riley Barber, Nick Paul, Felix Girard, Ryan MacInnis
Gardien
#1 : Chris Nell, #2 : Filip Gustavsson


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
LigueDomicileVisiteur
# 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
1Binghampton Senators22000000963110000005411100000042241.000916250052113103105550374777654712818357457.14%4175.00%1599130246.01%791175345.12%616133546.14%143963318158061719899
2Boisbriand Armada312000001214-21010000025-321100000109120.33312223400521131031080503747776541524653458450.00%9366.67%0599130246.01%791175345.12%616133546.14%143963318158061719899
3Brampton Battalion220000001679110000009541100000072541.00016223800521131031053503747776547420583410550.00%4250.00%1599130246.01%791175345.12%616133546.14%143963318158061719899
4Bridgeport Sound Tigers30200001916-71000000156-120200000410-610.1679162500521131031061503747776541133553435240.00%9544.44%0599130246.01%791175345.12%616133546.14%143963318158061719899
5Calgary Hitman20100001713-61010000049-51000000134-110.250711180052113103106950374777654762624384250.00%7357.14%0599130246.01%791175345.12%616133546.14%143963318158061719899
6Chicago Wolves422000001820-211000000743312000001116-540.500183048005211310310122503747776541483437559444.44%11827.27%0599130246.01%791175345.12%616133546.14%143963318158061719899
7Chicoutimi Sagueneens422000001621-52110000089-121100000812-440.500162541005211310310118503747776541274662737457.14%12466.67%0599130246.01%791175345.12%616133546.14%143963318158061719899
8Drummondville Voltigeurs20001001440100010002111000000123-130.750459005211310310355037477765473183233300.00%60100.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
9Grand Rapids Griffins321000001912721100000131031100000062440.66719355400521131031095503747776541354725435360.00%10370.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
10Hartford Wolf Pack404000001226-1420200000413-920200000813-500.000122032005211310310104503747776541565068527457.14%14471.43%0599130246.01%791175345.12%616133546.14%143963318158061719899
11Hershey Bears413000001327-142110000059-420200000818-1020.250132336005211310310114503747776541535458879222.22%9277.78%0599130246.01%791175345.12%616133546.14%143963318158061719899
12Lake Erie Monsters30300000616-1020200000513-81010000013-200.000691500521131031092503747776541213599457342.86%12650.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
13Las Vegas Wranglers20200000310-71010000025-31010000015-400.0003690052113103104750374777654962730376233.33%5340.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
14Laval Rockets312000001017-720200000312-91100000075220.3331014240052113103105250374777654118394651200.00%13561.54%0599130246.01%791175345.12%616133546.14%143963318158061719899
15London Knights21000001761110000005321000000123-130.750713200052113103104450374777654701924286233.33%20100.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
16Lowell Devils2010001078-11010000013-21000001065120.50079160052113103105050374777654802710305120.00%5340.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
17Manitoba Moose412000101215-32010001078-12110000057-240.500121931005211310310103503747776541455175779444.44%10190.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
18Milwaukee Admirals21100000440110000004221010000002-220.500471100521131031036503747776542513822100.00%4250.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
19Peoria Riverman412010001621-51010000025-3311010001416-240.50016264200521131031097503747776541525333669444.44%9544.44%1599130246.01%791175345.12%616133546.14%143963318158061719899
20Philadelphia Phantoms311000015502010000124-21100000031230.500581300521131031060503747776541234514465120.00%7185.71%0599130246.01%791175345.12%616133546.14%143963318158061719899
21Portland Pirates30201000812-41010000035-22010100057-220.3338122000521131031058503747776541203335413133.33%50100.00%1599130246.01%791175345.12%616133546.14%143963318158061719899
22Quebec Rempart2110000010100110000006241010000048-420.5001018280052113103105850374777654965068327342.86%9366.67%0599130246.01%791175345.12%616133546.14%143963318158061719899
23Rochester Americans21100000812-41010000038-51100000054120.500813210052113103105450374777654893035345360.00%5420.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
24Seattle Thunderbirds30100110811-3200001107701010000014-330.500811190052113103107250374777654862736468337.50%30100.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
25Sherbrooke Phoenix211000008801010000025-31100000063320.50081422005211310310425037477765460173236100.00%10100.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
26Texas Stars402011001216-430200100813-51000100043130.3751222340052113103101175037477765414840506212325.00%10370.00%2599130246.01%791175345.12%616133546.14%143963318158061719899
27Toronto Marlies2010010038-51000010023-11010000015-410.2503470052113103103850374777654411930254125.00%5260.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
Total82214604335275371-964192401322133188-5541122203013142183-41640.3902754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899
29Victoriaville Tigres20200000712-51010000037-41010000045-100.00071017005211310310475037477765463271320300.00%440.00%0599130246.01%791175345.12%616133546.14%143963318158061719899
30Worcester Sharks40400000614-82020000048-42020000026-400.0006111700521131031082503747776541324135635360.00%16756.25%0599130246.01%791175345.12%616133546.14%143963318158061719899
_Since Last GM Reset82214604335275371-964192401322133188-5541122203013142183-41640.3902754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899
_Vs Conference50113003222164233-69254150022278113-35257150300086120-34360.3601642724360052113103101255503747776541856595627805953840.00%1384865.22%4599130246.01%791175345.12%616133546.14%143963318158061719899
_Vs Division232130001080114-341116000103359-261217000004755-860.1308013621600521131031053350374777654866282292354341647.06%722959.72%1599130246.01%791175345.12%616133546.14%143963318158061719899

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8264SOW1275451726205530439971161129900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8221464335275371
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
419241322133188
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4112223013142183
Derniers 10 Matchs
WLOTWOTL SOWSOL
061120
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1726839.53%2208461.82%6
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
503747776545211310310
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
599130246.01%791175345.12%616133546.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
143963318158061719899


Derniers Match 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 - 2019-10-044Rimouski Oceanic5Chicago Wolves10LSommaire du Match
2 - 2019-10-0513Rimouski Oceanic4Peoria Riverman10LSommaire du Match
4 - 2019-10-0730Texas Stars5Rimouski Oceanic2LSommaire du Match
6 - 2019-10-0948Laval Rockets4Rimouski Oceanic2LSommaire du Match
7 - 2019-10-1061Rimouski Oceanic5Chicoutimi Sagueneens4WSommaire du Match
8 - 2019-10-1175Rimouski Oceanic5Peoria Riverman2WSommaire du Match
10 - 2019-10-1387Hartford Wolf Pack5Rimouski Oceanic2LSommaire du Match
12 - 2019-10-15107Grand Rapids Griffins3Rimouski Oceanic7WSommaire du Match
14 - 2019-10-17126Texas Stars4Rimouski Oceanic3LSommaire du Match
15 - 2019-10-18137Rimouski Oceanic5Chicago Wolves3WSommaire du Match
17 - 2019-10-20156Hershey Bears3Rimouski Oceanic4WSommaire du Match
19 - 2019-10-22173Rimouski Oceanic0Worcester Sharks3LSommaire du Match
21 - 2019-10-24187Rimouski Oceanic3Portland Pirates6LSommaire du Match
22 - 2019-10-25200Seattle Thunderbirds6Rimouski Oceanic5LXSommaire du Match
23 - 2019-10-26211Rimouski Oceanic3Boisbriand Armada8LSommaire du Match
25 - 2019-10-28227Worcester Sharks3Rimouski Oceanic1LSommaire du Match
28 - 2019-10-31250Rimouski Oceanic0Milwaukee Admirals2LSommaire du Match
29 - 2019-11-01264Texas Stars4Rimouski Oceanic3LXSommaire du Match
31 - 2019-11-03281Grand Rapids Griffins7Rimouski Oceanic6LSommaire du Match
33 - 2019-11-05306Seattle Thunderbirds1Rimouski Oceanic2WXXSommaire du Match
35 - 2019-11-07322Rimouski Oceanic1Lake Erie Monsters3LSommaire du Match
36 - 2019-11-08334Victoriaville Tigres7Rimouski Oceanic3LSommaire du Match
37 - 2019-11-09339Rimouski Oceanic1Chicago Wolves3LSommaire du Match
39 - 2019-11-11361Calgary Hitman9Rimouski Oceanic4LSommaire du Match
40 - 2019-11-12370Rimouski Oceanic2Manitoba Moose5LSommaire du Match
42 - 2019-11-14388Rimouski Oceanic1Seattle Thunderbirds4LSommaire du Match
44 - 2019-11-16400Drummondville Voltigeurs1Rimouski Oceanic2WXSommaire du Match
45 - 2019-11-17418Rimouski Oceanic6Grand Rapids Griffins2WSommaire du Match
46 - 2019-11-18433Binghampton Senators4Rimouski Oceanic5WSommaire du Match
48 - 2019-11-20448Rimouski Oceanic6Hershey Bears10LSommaire du Match
50 - 2019-11-22463Chicoutimi Sagueneens7Rimouski Oceanic4LSommaire du Match
51 - 2019-11-23479Rimouski Oceanic2Hershey Bears8LSommaire du Match
52 - 2019-11-24491Rimouski Oceanic3Manitoba Moose2WSommaire du Match
54 - 2019-11-26503Las Vegas Wranglers5Rimouski Oceanic2LSommaire du Match
56 - 2019-11-28524Laval Rockets8Rimouski Oceanic1LSommaire du Match
57 - 2019-11-29536Rimouski Oceanic1Las Vegas Wranglers5LSommaire du Match
59 - 2019-12-01555Sherbrooke Phoenix5Rimouski Oceanic2LSommaire du Match
61 - 2019-12-03569Rimouski Oceanic1Toronto Marlies5LSommaire du Match
62 - 2019-12-04583Rimouski Oceanic4Quebec Rempart8LSommaire du Match
63 - 2019-12-05592London Knights3Rimouski Oceanic5WSommaire du Match
65 - 2019-12-07610Rimouski Oceanic7Laval Rockets5WSommaire du Match
66 - 2019-12-08622Brampton Battalion5Rimouski Oceanic9WSommaire du Match
68 - 2019-12-10640Quebec Rempart2Rimouski Oceanic6WSommaire du Match
70 - 2019-12-12657Rimouski Oceanic2Worcester Sharks3LSommaire du Match
71 - 2019-12-13672Chicoutimi Sagueneens2Rimouski Oceanic4WSommaire du Match
73 - 2019-12-15687Rimouski Oceanic3Chicoutimi Sagueneens8LSommaire du Match
75 - 2019-12-17702Portland Pirates5Rimouski Oceanic3LSommaire du Match
76 - 2019-12-18721Lowell Devils3Rimouski Oceanic1LSommaire du Match
77 - 2019-12-19731Rimouski Oceanic6Sherbrooke Phoenix3WSommaire du Match
79 - 2019-12-21748Rimouski Oceanic5Rochester Americans4WSommaire du Match
81 - 2019-12-23760Bridgeport Sound Tigers6Rimouski Oceanic5LXXSommaire du Match
82 - 2019-12-24779Rimouski Oceanic7Boisbriand Armada1WSommaire du Match
83 - 2019-12-25787Rimouski Oceanic2London Knights3LXXSommaire du Match
84 - 2019-12-26802Hershey Bears6Rimouski Oceanic1LSommaire du Match
87 - 2019-12-29822Worcester Sharks5Rimouski Oceanic3LSommaire du Match
89 - 2019-12-31843Hartford Wolf Pack8Rimouski Oceanic2LSommaire du Match
90 - 2020-01-01855Rimouski Oceanic2Hartford Wolf Pack6LSommaire du Match
92 - 2020-01-03873Chicago Wolves4Rimouski Oceanic7WSommaire du Match
93 - 2020-01-04879Rimouski Oceanic2Portland Pirates1WXSommaire du Match
95 - 2020-01-06896Rimouski Oceanic5Peoria Riverman4WXSommaire du Match
96 - 2020-01-07907Rimouski Oceanic7Brampton Battalion2WSommaire du Match
97 - 2020-01-08922Milwaukee Admirals2Rimouski Oceanic4WSommaire du Match
99 - 2020-01-10936Rimouski Oceanic0Bridgeport Sound Tigers3LSommaire du Match
100 - 2020-01-11952Lake Erie Monsters9Rimouski Oceanic3LSommaire du Match
102 - 2020-01-13970Rimouski Oceanic3Calgary Hitman4LXXSommaire du Match
103 - 2020-01-14974Rimouski Oceanic6Hartford Wolf Pack7LSommaire du Match
104 - 2020-01-15988Lake Erie Monsters4Rimouski Oceanic2LSommaire du Match
107 - 2020-01-181010Philadelphia Phantoms2Rimouski Oceanic1LXXSommaire du Match
108 - 2020-01-191021Rimouski Oceanic2Drummondville Voltigeurs3LXXSommaire du Match
110 - 2020-01-211039Rimouski Oceanic3Philadelphia Phantoms1WSommaire du Match
111 - 2020-01-221047Philadelphia Phantoms2Rimouski Oceanic1LSommaire du Match
113 - 2020-01-241066Rimouski Oceanic4Binghampton Senators2WSommaire du Match
114 - 2020-01-251073Rimouski Oceanic4Victoriaville Tigres5LSommaire du Match
115 - 2020-01-261081Boisbriand Armada5Rimouski Oceanic2LSommaire du Match
117 - 2020-01-281104Peoria Riverman5Rimouski Oceanic2LSommaire du Match
119 - 2020-01-301115Rimouski Oceanic6Lowell Devils5WXXSommaire du Match
121 - 2020-02-011134Rimouski Oceanic4Bridgeport Sound Tigers7LSommaire du Match
122 - 2020-02-021139Toronto Marlies3Rimouski Oceanic2LXSommaire du Match
124 - 2020-02-041162Rochester Americans8Rimouski Oceanic3LSommaire du Match
125 - 2020-02-051176Rimouski Oceanic4Texas Stars3WXSommaire du Match
128 - 2020-02-081194Manitoba Moose5Rimouski Oceanic3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
133 - 2020-02-131229Manitoba Moose3Rimouski Oceanic4WXXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance61,96531,417
Assistance PCT75.57%76.63%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2278 - 75.92% 95,942$3,933,641$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,822,080$ 1,905,680$ 1,905,680$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,822,080$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 14,669$ 0$




LigueDomicileVisiteur
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
201982214604335275371-964192401322133188-5541122203013142183-41642754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899
Total Saison Régulière82214604335275371-964192401322133188-5541122203013142183-41642754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899