Rimouski Oceanic
GP: 41 | W: 15 | L: 22 | OTL: 4 | P: 34
GF: 170 | GA: 199 | PP%: 27.78% | PK%: 64.29%
DG: Robert Breton | Morale : 39 | Moyenne d'Équipe : 56
Prochain matchs #638 vs Quebec Rempart
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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 SPÂgeContratSalaire
1Joakim NygardX100.006541919065576161446459612547476351600281875,000$
2Brendan LeipsicXX100.007352927165537964386157632563636244600262700,000$
3Blake PietilaXX100.007772876472727658735260655747476341590281700,000$
4Chris StewartXX100.008799657290505052255655612545456063570331700,000$
5Anton WedinXX100.007669916669565560505759645644446230570271700,000$
6Luke Philp (R)X100.007265886765606060755165626244446336570251817,501$
7Lean Bergmann (R)XX100.008946897576516451265855562545456037560221836,668$
8Cam DarcyX100.007368856768707454685647614544445750560261700,000$
9Reid DukeX100.006770616070596155694858585544445754540251925,000$
10Derek BarachXX100.006458786658646752654654565144445632530251715,000$
11Deven SideroffX100.007363955463484852504651634852525534520231911,000$
12Connor CarrickX100.0073648377706456582552487725656561216402611,500,000$
13Kyle WoodX100.008790816690707647253741663944445471600241700,000$
14Connor CliftonX100.0094468864646470572539486745484959476002531,000,000$
15Maxime LajoieX100.007368857768697451254441623951515555600231790,000$
16Dan RenoufX100.007176596276738050254340613853535222580261700,000$
17Mark AltX100.007877816577707647253742624044445340580291700,000$
18William BorgenX100.006970666170768446253739573744445022550242864,166$
19Kelly Summers (R)X100.008072995672505243252843624144445122530241500,001$
Rayé
1Tyler SikuraXX100.0077728962727174607557586555444463205902800$
2Ryan MacInnisX100.0071439964715480584760556225444461205702500$
3Jeremy GregoireX100.0065705466707377587354565953474758205702500$
4Nicholas BaptisteX100.0080759064756771515049486446454557205502500$
5Ryan DmowskiX100.0079758766755759495042516348444456205402300$
6Beau Starrett (R)XX81.918281855181484851644651654844445526520251500,000$
7Maxime FortierX100.007365906065555748504546604444445340510231759,166$
8Bryan MooreX100.006272405472545744503844534244444720470261500,000$
9Andreas EnglundX100.0089958574745576572550476363575759206102500$
10Kyle BurroughsX100.0072736865737381452535405838444451205602500$
MOYENNE D'ÉQUIPE99.34766981667261675345485062434747573456
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
1Filip Gustavsson100.00505771724752505550503044445143530
Rayé
1Matt Tomkins (R)97.00526379794953505749493044445349540
MOYENNE D'ÉQUIPE98.5051607576485350565050304444524654
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Benoit Groulx70617165817571CAN52260,000$


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
1Brendan LeipsicRimouski Oceanic (ANA)C/LW41273461-17141071711615112816.77%2992622.59101525211030002802139.08%11774223011.3225020642
2Blake PietilaRimouski Oceanic (ANA)LW/RW41202242-1787456464105437619.05%3184920.716511131000113382056.79%812916010.9934153122
3Joakim NygardRimouski Oceanic (ANA)LW28172239-151754238145509011.72%2263022.53371012730000480040.00%1305814001.2404100122
4Luke PhilpRimouski Oceanic (ANA)C41182038234305564140507812.86%1571417.4222410811012311051.25%5602718001.0611051122
5Chris StewartRimouski Oceanic (ANA)LW/RW41131932-187458751110378011.82%1566516.222241479000002036.59%413610000.9600414212
6Taylor FedunDucksD2971825-916035437937338.86%5880527.795271282000156100.00%02027000.6200000021
7Reid DukeRimouski Oceanic (ANA)C4110112123610474110222569.80%1144210.78000020000280150.99%1512111000.9500101102
8Anton WedinRimouski Oceanic (ANA)LW/RW198111951010182851253315.69%1531916.79336746000050141.67%12155001.1900110112
9Connor CliftonRimouski Oceanic (ANA)D3711718-119555575525331.82%5079421.48134778000160000.00%0330000.4500001000
10Cam DarcyRimouski Oceanic (ANA)C368917-1700314559184913.56%847013.07000051011211049.79%237227000.7200000010
11Kyle WoodRimouski Oceanic (ANA)D4131417-211015575525013276.00%6286521.10112780000054000.00%0625000.3900713000
12Nick SchilkeyDucksLW2961016-10302051407316298.22%1143915.160112260110190146.67%15811000.7300211110
13Connor CarrickRimouski Oceanic (ANA)D2811314-8593545617335281.37%5673826.38123569000055000.00%01527000.3800241010
14Maxime LajoieRimouski Oceanic (ANA)D4121214-3251537423724165.41%4168716.76022338000026000.00%01113000.4100102010
15Derek BarachRimouski Oceanic (ANA)C/RW257310-5135242856112912.50%1132813.15000016000000033.33%121911000.6100001000
16Lean BergmannRimouski Oceanic (ANA)LW/RW16257-7001682410128.33%621213.25000112000040030.00%1083000.6600000001
17Beau StarrettRimouski Oceanic (ANA)C/LW40347-9222039434113227.32%1742010.5100002000051040.00%1069000.3300040000
18Mark AltRimouski Oceanic (ANA)D412469503039393412125.88%3657514.030000130000250050.00%4120000.2100042001
19Maxime FortierRimouski Oceanic (ANA)RW34246-60018201861811.11%82868.4200008000170026.32%1914000.4200000010
20Deven SideroffRimouski Oceanic (ANA)RW27011227152320145120.00%62459.0900001000000025.00%1237000.0800102000
Stats d'équipe Total ou en Moyenne676157253410-136637355872855142750386111.00%5081141616.893445791149242241156910444.03%2471351291020.72614212822141917
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
1Matt TomkinsRimouski Oceanic (ANA)37122130.8655.091979201681243736110.69213365002
2Filip GustavssonRimouski Oceanic (ANA)133110.9143.315070028325213100.0000530000
Stats d'équipe Total ou en Moyenne50152240.8754.732487201961568949210.692134135002


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)D251996-01-21No189 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Anton WedinRimouski Oceanic (ANA)LW/RW271993-03-01No194 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Beau Starrett (Sur la Masse Salariale)Rimouski Oceanic (ANA)C/LW251995-11-01Yes212 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Blake PietilaRimouski Oceanic (ANA)LW/RW281993-02-20No200 Lbs5 ft11YesNoNo1Pro & Farm700,000$0$0$NoLien
Brendan LeipsicRimouski Oceanic (ANA)C/LW261994-05-19No180 Lbs5 ft10YesNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Bryan MooreRimouski Oceanic (ANA)LW261994-05-25No203 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Cam DarcyRimouski Oceanic (ANA)C261994-03-02No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Chris StewartRimouski Oceanic (ANA)LW/RW331987-10-30No243 Lbs6 ft2YesNoNo1Pro & Farm700,000$0$0$NoLien
Connor CarrickRimouski Oceanic (ANA)D261994-04-13No192 Lbs5 ft11NoNoNo1Pro & Farm1,500,000$0$0$NoLien
Connor CliftonRimouski Oceanic (ANA)D251995-04-28No175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Dan RenoufRimouski Oceanic (ANA)D261994-06-01No205 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Derek BarachRimouski Oceanic (ANA)C/RW251995-02-27No165 Lbs5 ft8NoNoNo1Pro & Farm715,000$0$0$NoLien
Deven SideroffRimouski Oceanic (ANA)RW231997-04-14No171 Lbs5 ft11NoNoNo1Pro & Farm911,000$0$0$NoLien
Filip GustavssonRimouski Oceanic (ANA)G221998-06-07No184 Lbs6 ft2NoNoNo1Pro & Farm716,666$0$0$NoLien
Jeremy GregoireRimouski Oceanic (ANA)C251995-09-05No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Joakim NygardRimouski Oceanic (ANA)LW281993-01-08No179 Lbs6 ft0NoNoNo1Pro & Farm875,000$0$0$NoLien
Kelly SummersRimouski Oceanic (ANA)D241996-04-29Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,001$0$0$No
Kyle BurroughsRimouski Oceanic (ANA)D251995-07-12No203 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Kyle WoodRimouski Oceanic (ANA)D241996-05-04No235 Lbs6 ft7NoNoNo1Pro & Farm700,000$0$0$NoLien
Lean BergmannRimouski Oceanic (ANA)LW/RW221998-10-04Yes205 Lbs6 ft2NoNoNo1Pro & Farm836,668$0$0$NoLien
Luke PhilpRimouski Oceanic (ANA)C251995-11-05Yes181 Lbs5 ft10NoNoNo1Pro & Farm817,501$0$0$NoLien
Mark AltRimouski Oceanic (ANA)D291991-10-17No201 Lbs6 ft4YesNoNo1Pro & Farm700,000$0$0$NoLien
Matt TomkinsRimouski Oceanic (ANA)G261994-06-19Yes194 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$No
Maxime FortierRimouski Oceanic (ANA)RW231997-12-15No183 Lbs5 ft10NoNoNo1Pro & Farm759,166$0$0$NoLien
Maxime LajoieRimouski Oceanic (ANA)D231997-11-05No183 Lbs6 ft1NoNoNo1Pro & Farm790,000$0$0$NoLien
Nicholas BaptisteRimouski Oceanic (ANA)RW251995-08-04No206 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Reid DukeRimouski Oceanic (ANA)C251996-01-28No191 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Ryan DmowskiRimouski Oceanic (ANA)LW231997-03-18No209 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Ryan MacInnisRimouski Oceanic (ANA)C251996-02-13No185 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Tyler SikuraRimouski Oceanic (ANA)C/LW281992-05-18No194 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLien
William BorgenRimouski Oceanic (ANA)D241996-12-19No187 Lbs6 ft2NoNoNo2Pro & Farm864,166$0$0$No864,166$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3125.39194 Lbs6 ft10.90597,102$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan LeipsicBlake Pietila40122
2Luke PhilpChris Stewart30122
3Cam DarcyDerek Barach20122
4Reid Duke10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor Carrick40122
2Kyle WoodConnor Clifton30122
3Maxime LajoieMark Alt20122
4Connor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan LeipsicBlake Pietila60122
2Luke PhilpChris Stewart40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor Carrick60122
2Kyle WoodConnor Clifton40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brendan Leipsic60122
2Blake PietilaLuke Philp40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor Carrick60122
2Kyle WoodConnor Clifton40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Connor Carrick60122
2Brendan Leipsic40122Kyle WoodConnor Clifton40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brendan Leipsic60122
2Blake PietilaLuke Philp40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Connor Carrick60122
2Kyle WoodConnor Clifton40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan LeipsicBlake PietilaConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan LeipsicBlake PietilaConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Cam Darcy, Reid Duke, Cam DarcyReid Duke
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Maxime Lajoie, Mark Alt, Kyle WoodMaxime LajoieMark Alt, Kyle Wood
Tirs de Pénalité
, Brendan Leipsic, Blake Pietila, Luke Philp,
Gardien
#1 : , #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
1Boisbriand Armada1010000047-3000000000001010000047-300.0004711004362617434695134842041111930200.00%20100.00%036085941.91%38688743.52%35577845.63%830447887396773381
2Brampton Battalion1010000012-11010000012-10000000000000.0001230043626173646951348420357031200.00%000.00%036085941.91%38688743.52%35577845.63%830447887396773381
3Chicago Wolves11000000624000000000001100000062421.00069150043626173046951348420381441374125.00%3166.67%036085941.91%38688743.52%35577845.63%830447887396773381
4Chicoutimi Sagueneens32100000151232200000014591010000017-640.667152439004362617131469513484201113366676116.67%8362.50%136085941.91%38688743.52%35577845.63%830447887396773381
5Grand Rapids Griffins210010001192110000005411000100065141.0001120310043626179046951348420892529433133.33%7528.57%036085941.91%38688743.52%35577845.63%830447887396773381
6Hartford Wolf Pack53200000272163210000016106211000001111060.60027437000436261717546951348420192717710515640.00%11372.73%036085941.91%38688743.52%35577845.63%830447887396773381
7Hershey Bears311001001113-21100000032120100100811-330.500111930104362617974695134842011450627611327.27%6266.67%036085941.91%38688743.52%35577845.63%830447887396773381
8Las Vegas Wranglers211000001011-1211000001011-10000000000020.5001013230043626177546951348420883960367342.86%5340.00%036085941.91%38688743.52%35577845.63%830447887396773381
9Laval Rockets1010000016-51010000016-50000000000000.00011200436261729469513484203511420300.00%20100.00%036085941.91%38688743.52%35577845.63%830447887396773381
10London Knights1000000156-1000000000001000000156-110.50059140043626174246951348420316833300.00%4325.00%036085941.91%38688743.52%35577845.63%830447887396773381
11Lowell Devils1010000036-3000000000001010000036-300.00034700436261743469513484203812919200.00%20100.00%036085941.91%38688743.52%35577845.63%830447887396773381
12Manchester Monarchs1010000045-1000000000001010000045-100.0004711004362617444695134842030131123100.00%30100.00%036085941.91%38688743.52%35577845.63%830447887396773381
13Manitoba Moose402000111621-51010000035-2301000111316-330.3751625410043626171424695134842016857526818422.22%11372.73%036085941.91%38688743.52%35577845.63%830447887396773381
14Peoria Riverman21100000171341010000067-111000000116520.5001729460043626179046951348420662737479777.78%6433.33%036085941.91%38688743.52%35577845.63%830447887396773381
15Philadelphia Phantoms20200000511-61010000016-51010000045-100.00058130043626176146951348420701941343133.33%8362.50%136085941.91%38688743.52%35577845.63%830447887396773381
16Quebec Rempart413000001218-62020000049-52110000089-120.2501217290043626171394695134842013059567417317.65%13561.54%036085941.91%38688743.52%35577845.63%830447887396773381
17Seattle Thunderbirds20100010811-3100000106511010000026-420.500812200043626175746951348420872933418337.50%4250.00%036085941.91%38688743.52%35577845.63%830447887396773381
18Worcester Sharks503001101425-1130200010815-720100100610-430.30014193300436261714846951348420206575412312216.67%17382.35%036085941.91%38688743.52%35577845.63%830447887396773381
Total41112201232170199-2920711000207887-9214110121292112-20340.41517026843810436261714724695134842015695406599071263527.78%1124064.29%236085941.91%38688743.52%35577845.63%830447887396773381
_Since Last GM Reset41112201232170199-2920711000207887-9214110121292112-20340.41517026843810436261714724695134842015695406599071263527.78%1124064.29%236085941.91%38688743.52%35577845.63%830447887396773381
_Vs Conference34101701231143162-191769000206774-71748012117688-12310.45614322636910436261711894695134842013064525527351093229.36%963464.58%236085941.91%38688743.52%35577845.63%830447887396773381
_Vs Division11511002214252-10436000101215-3725002113037-7170.77342701121043626174134695134842040415817724634720.59%311261.29%036085941.91%38688743.52%35577845.63%830447887396773381

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4134W11702684381472156954065990710
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4111221232170199
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2071100207887
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
21411121292112
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1263527.78%1124064.29%2
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
469513484204362617
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
36085941.91%38688743.52%35577845.63%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
830447887396773381


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 - 2020-11-102Rimouski Oceanic4Manitoba Moose3WXXSommaire du Match
3 - 2020-11-1224Manitoba Moose5Rimouski Oceanic3LSommaire du Match
4 - 2020-11-1339Quebec Rempart4Rimouski Oceanic3LSommaire du Match
6 - 2020-11-1554Rimouski Oceanic5Quebec Rempart3WSommaire du Match
8 - 2020-11-1769Worcester Sharks5Rimouski Oceanic0LSommaire du Match
10 - 2020-11-1984Rimouski Oceanic4Manitoba Moose5LXXSommaire du Match
12 - 2020-11-21103Rimouski Oceanic5Manitoba Moose8LSommaire du Match
13 - 2020-11-22116Hartford Wolf Pack4Rimouski Oceanic8WSommaire du Match
15 - 2020-11-24134Rimouski Oceanic3Hershey Bears4LXSommaire du Match
16 - 2020-11-25148Chicoutimi Sagueneens2Rimouski Oceanic7WSommaire du Match
18 - 2020-11-27164Rimouski Oceanic1Worcester Sharks4LSommaire du Match
19 - 2020-11-28176Rimouski Oceanic6Chicago Wolves2WSommaire du Match
21 - 2020-11-30186Hershey Bears2Rimouski Oceanic3WSommaire du Match
22 - 2020-12-01195Rimouski Oceanic2Hartford Wolf Pack4LSommaire du Match
24 - 2020-12-03217Seattle Thunderbirds5Rimouski Oceanic6WXXSommaire du Match
27 - 2020-12-06242Hartford Wolf Pack4Rimouski Oceanic2LSommaire du Match
28 - 2020-12-07255Rimouski Oceanic5London Knights6LXXSommaire du Match
30 - 2020-12-09267Las Vegas Wranglers4Rimouski Oceanic5WSommaire du Match
32 - 2020-12-11288Rimouski Oceanic4Boisbriand Armada7LSommaire du Match
34 - 2020-12-13302Peoria Riverman7Rimouski Oceanic6LSommaire du Match
35 - 2020-12-14313Rimouski Oceanic6Grand Rapids Griffins5WXSommaire du Match
37 - 2020-12-16332Rimouski Oceanic5Worcester Sharks6LXSommaire du Match
39 - 2020-12-18344Laval Rockets6Rimouski Oceanic1LSommaire du Match
41 - 2020-12-20365Worcester Sharks4Rimouski Oceanic5WXXSommaire du Match
42 - 2020-12-21379Brampton Battalion2Rimouski Oceanic1LSommaire du Match
44 - 2020-12-23393Rimouski Oceanic3Quebec Rempart6LSommaire du Match
46 - 2020-12-25411Rimouski Oceanic5Hershey Bears7LSommaire du Match
47 - 2020-12-26422Rimouski Oceanic4Manchester Monarchs5LSommaire du Match
49 - 2020-12-28434Philadelphia Phantoms6Rimouski Oceanic1LSommaire du Match
52 - 2020-12-31457Quebec Rempart5Rimouski Oceanic1LSommaire du Match
53 - 2021-01-01471Worcester Sharks6Rimouski Oceanic3LSommaire du Match
55 - 2021-01-03486Rimouski Oceanic3Lowell Devils6LSommaire du Match
56 - 2021-01-04500Rimouski Oceanic1Chicoutimi Sagueneens7LSommaire du Match
58 - 2021-01-06515Rimouski Oceanic11Peoria Riverman6WSommaire du Match
59 - 2021-01-07525Grand Rapids Griffins4Rimouski Oceanic5WSommaire du Match
61 - 2021-01-09545Las Vegas Wranglers7Rimouski Oceanic5LSommaire du Match
63 - 2021-01-11564Hartford Wolf Pack2Rimouski Oceanic6WSommaire du Match
64 - 2021-01-12575Rimouski Oceanic2Seattle Thunderbirds6LSommaire du Match
66 - 2021-01-14595Rimouski Oceanic9Hartford Wolf Pack7WSommaire du Match
68 - 2021-01-16609Rimouski Oceanic4Philadelphia Phantoms5LSommaire du Match
69 - 2021-01-17618Chicoutimi Sagueneens3Rimouski Oceanic7WSommaire du Match
71 - 2021-01-19638Quebec Rempart-Rimouski Oceanic-
73 - 2021-01-21657Rimouski Oceanic-Manitoba Moose-
75 - 2021-01-23671Manitoba Moose-Rimouski Oceanic-
77 - 2021-01-25685Rimouski Oceanic-Toronto Marlies-
78 - 2021-01-26700Manitoba Moose-Rimouski Oceanic-
80 - 2021-01-28721Rimouski Oceanic-Hershey Bears-
81 - 2021-01-29732Rimouski Oceanic-Worcester Sharks-
83 - 2021-01-31745Lake Erie Monsters-Rimouski Oceanic-
85 - 2021-02-02764Rochester Americans-Rimouski Oceanic-
87 - 2021-02-04783Hershey Bears-Rimouski Oceanic-
88 - 2021-02-05797Rimouski Oceanic-Peoria Riverman-
90 - 2021-02-07816Seattle Thunderbirds-Rimouski Oceanic-
92 - 2021-02-09831Rimouski Oceanic-Drummondville Voltigeurs-
94 - 2021-02-11847Bridgeport Sound Tigers-Rimouski Oceanic-
95 - 2021-02-12858Rimouski Oceanic-Grand Rapids Griffins-
97 - 2021-02-14877Laval Rockets-Rimouski Oceanic-
99 - 2021-02-16890Rimouski Oceanic-Milwaukee Admirals-
101 - 2021-02-18908Hershey Bears-Rimouski Oceanic-
103 - 2021-02-20925Rimouski Oceanic-Laval Rockets-
105 - 2021-02-22939Rimouski Oceanic-Philadelphia Phantoms-
106 - 2021-02-23950Rimouski Oceanic-Sherbrooke Phoenix-
107 - 2021-02-24958Lake Erie Monsters-Rimouski Oceanic-
110 - 2021-02-27984Manchester Monarchs-Rimouski Oceanic-
111 - 2021-02-28999Rimouski Oceanic-Chicago Wolves-
113 - 2021-03-021014Chicago Wolves-Rimouski Oceanic-
115 - 2021-03-041033Bridgeport Sound Tigers-Rimouski Oceanic-
116 - 2021-03-051048Rimouski Oceanic-Bridgeport Sound Tigers-
117 - 2021-03-061058Rimouski Oceanic-Hartford Wolf Pack-
119 - 2021-03-081077Texas Stars-Rimouski Oceanic-
121 - 2021-03-101092Rimouski Oceanic-Quebec Rempart-
123 - 2021-03-121108Binghampton Senators-Rimouski Oceanic-
124 - 2021-03-131123Rimouski Oceanic-Texas Stars-
126 - 2021-03-151137Calgary Hitman-Rimouski Oceanic-
128 - 2021-03-171153Texas Stars-Rimouski Oceanic-
131 - 2021-03-201181Calgary Hitman-Rimouski Oceanic-
134 - 2021-03-231202Rimouski Oceanic-Portland Pirates-
135 - 2021-03-241214Rimouski Oceanic-Chicago Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
137 - 2021-03-261224Binghampton Senators-Rimouski Oceanic-
138 - 2021-03-271228Rimouski Oceanic-Victoriaville Tigres-
141 - 2021-03-301249Portland Pirates-Rimouski Oceanic-
143 - 2021-04-011266Rimouski Oceanic-Portland Pirates-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance30,34915,818
Assistance PCT75.87%79.09%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
21 2308 - 76.95% 96,812$1,936,235$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
959,553$ 1,801,018$ 1,679,351$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 959,553$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,033,047$ 75 12,835$ 962,625$




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