Rimouski Oceanic

GP: 82 | W: 28 | L: 46 | OTL: 8 | P: 64
GF: 275 | GA: 371 | PP%: 39.53% | PK%: 61.82%
GM : Robert Breton | Morale : 25 | Team Overall : 58
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# Player Name 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
Scratches
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
TEAM AVERAGE100.00736779677266735546515063424949583558
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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
# Goalie Name 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
Scratches
1Tyler Parsons (R)100.00494759704949505449493044445020510
TEAM AVERAGE100.0055536770555557625656304444562856
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Chris Dennis55504350473547CAN51160,000$


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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
# Player Name Team NamePOSGP 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
Team Total or Average1431258425683-3721141635124018041957667114913.18%9662333116.306610717320011226612391176251746.43%4193462702250.59626344547252625
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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
# Goalie Name Team NameGP 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
Team Total or Average90284380.8864.2047184033029011644600.654267967522


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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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Andreas EnglundRimouski Oceanic (ANA)D221996-01-21No189 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Andrew PoturalskiRimouski Oceanic (ANA)C/LW/RW241994-01-14No181 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Ben SextonRimouski Oceanic (ANA)C271991-06-06No196 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLink
Chris NellRimouski Oceanic (ANA)G231994-09-02No178 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Connor CarrickRimouski Oceanic (ANA)D241994-04-13No192 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Link
Connor CliftonRimouski Oceanic (ANA)D231995-04-28No175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink
Dan RenoufRimouski Oceanic (ANA)D241994-06-01No205 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Deven SideroffRimouski Oceanic (ANA)RW211997-04-14No171 Lbs5 ft11NoNoNo2Pro & Farm911,000$0$0$No911,000$Link
Felix GirardRimouski Oceanic (ANA)C241994-05-09No197 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Filip GustavssonRimouski Oceanic (ANA)G201998-06-07Yes184 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Grayson DowningRimouski Oceanic (ANA)C261992-04-18No197 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLink
Jake CheliosRimouski Oceanic (ANA)D271991-03-08No185 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLink
Jeremy GregoireRimouski Oceanic (ANA)C221995-09-05No193 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLink
Jordan NolanRimouski Oceanic (ANA)C/LW/RW291989-06-22No219 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Kyle BurroughsRimouski Oceanic (ANA)D221995-07-12No203 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$NoLink
Kyle CapobiancoRimouski Oceanic (ANA)D201997-08-13No178 Lbs6 ft1NoNoNo2Pro & Farm745,000$0$0$No745,000$Link
Marco RoyRimouski Oceanic (ANA)C231994-11-05No175 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLink
Mark AltRimouski Oceanic (ANA)D261991-10-17No201 Lbs6 ft4NoNoNo1Pro & Farm725,000$0$0$NoLink
Mark McNeillRimouski Oceanic (ANA)C251993-02-22No214 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink
Nicholas BaptisteRimouski Oceanic (ANA)RW221995-08-04No206 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink
Nick PaulRimouski Oceanic (ANA)C/LW231995-03-20No230 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLink
Reid DukeRimouski Oceanic (ANA)C221996-01-28No191 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Link
Riley BarberRimouski Oceanic (ANA)C/LW/RW241994-02-07No193 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLink
Ryan DmowskiRimouski Oceanic (ANA)LW211997-03-18Yes209 Lbs6 ft1NoNoNo1Pro & Farm575,000$0$0$NoLink
Ryan MacInnisRimouski Oceanic (ANA)C221996-02-13No185 Lbs6 ft3NoNoNo1Pro & Farm874,125$0$0$NoLink
Steven FogartyRimouski Oceanic (ANA)C251993-04-18No206 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Taylor FedunRimouski Oceanic (ANA)D301988-06-04No198 Lbs6 ft1NoNoNo2Pro & Farm737,500$0$0$No737,500$Link
Tim CliftonRimouski Oceanic (ANA)C261992-05-22No194 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLink
Tyler ParsonsRimouski Oceanic (ANA)G201997-09-18Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLink
Tyler SikuraRimouski Oceanic (ANA)C/LW261992-05-18No194 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink
William BorgenRimouski Oceanic (ANA)D211996-12-19Yes187 Lbs6 ft2NoNoNo3Pro & Farm864,166$0$0$No864,166$864,166$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3123.68194 Lbs6 ft11.10614,735$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff40122
2Ryan DmowskiNick PaulFelix Girard30122
3Andrew PoturalskiFelix GirardRiley Barber20122
4Nick PaulRyan MacInnisRyan Dmowski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CliftonConnor Carrick40122
2Taylor FedunAndreas Englund30122
3Dan RenoufMark Alt20122
4Kyle CapobiancoKyle Burroughs10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Riley BarberAndrew PoturalskiDeven Sideroff60122
2Ryan DmowskiNick PaulFelix Girard40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Poturalski60122Connor CliftonConnor Carrick60122
2Riley Barber40122Taylor FedunAndreas Englund40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrew PoturalskiRiley Barber60122
2Nick PaulFelix Girard40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor CliftonConnor Carrick60122
2Taylor FedunAndreas Englund40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Riley BarberAndrew PoturalskiDeven SideroffConnor CliftonConnor Carrick
Extra Forwards
Normal PowerPlayPenalty Kill
Reid Duke, Steven Fogarty, Ryan MacInnisReid Duke, Steven FogartyRyan MacInnis
Extra Defensemen
Normal PowerPlayPenalty Kill
William Borgen, Jake Chelios, Dan RenoufWilliam BorgenJake Chelios, Dan Renouf
Penalty Shots
Andrew Poturalski, Riley Barber, Nick Paul, Felix Girard, Ryan MacInnis
Goalie
#1 : Chris Nell, #2 : Filip Gustavsson


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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
OverallHomeVisitor
# VS Team 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 For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8264SOW1275451726205530439971161129900
All Games
GPWLOTWOTL SOWSOLGFGA
8221464335275371
Home Games
GPWLOTWOTL SOWSOLGFGA
419241322133188
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4112223013142183
Last 10 Games
WLOTWOTL SOWSOL
061120
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1726839.53%2208461.82%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
503747776545211310310
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
599130246.01%791175345.12%616133546.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
143963318158061719899


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2019-10-044Rimouski Oceanic5Chicago Wolves10LBoxScore
2 - 2019-10-0513Rimouski Oceanic4Peoria Riverman10LBoxScore
4 - 2019-10-0730Texas Stars5Rimouski Oceanic2LBoxScore
6 - 2019-10-0948Laval Rockets4Rimouski Oceanic2LBoxScore
7 - 2019-10-1061Rimouski Oceanic5Chicoutimi Sagueneens4WBoxScore
8 - 2019-10-1175Rimouski Oceanic5Peoria Riverman2WBoxScore
10 - 2019-10-1387Hartford Wolf Pack5Rimouski Oceanic2LBoxScore
12 - 2019-10-15107Grand Rapids Griffins3Rimouski Oceanic7WBoxScore
14 - 2019-10-17126Texas Stars4Rimouski Oceanic3LBoxScore
15 - 2019-10-18137Rimouski Oceanic5Chicago Wolves3WBoxScore
17 - 2019-10-20156Hershey Bears3Rimouski Oceanic4WBoxScore
19 - 2019-10-22173Rimouski Oceanic0Worcester Sharks3LBoxScore
21 - 2019-10-24187Rimouski Oceanic3Portland Pirates6LBoxScore
22 - 2019-10-25200Seattle Thunderbirds6Rimouski Oceanic5LXBoxScore
23 - 2019-10-26211Rimouski Oceanic3Boisbriand Armada8LBoxScore
25 - 2019-10-28227Worcester Sharks3Rimouski Oceanic1LBoxScore
28 - 2019-10-31250Rimouski Oceanic0Milwaukee Admirals2LBoxScore
29 - 2019-11-01264Texas Stars4Rimouski Oceanic3LXBoxScore
31 - 2019-11-03281Grand Rapids Griffins7Rimouski Oceanic6LBoxScore
33 - 2019-11-05306Seattle Thunderbirds1Rimouski Oceanic2WXXBoxScore
35 - 2019-11-07322Rimouski Oceanic1Lake Erie Monsters3LBoxScore
36 - 2019-11-08334Victoriaville Tigres7Rimouski Oceanic3LBoxScore
37 - 2019-11-09339Rimouski Oceanic1Chicago Wolves3LBoxScore
39 - 2019-11-11361Calgary Hitman9Rimouski Oceanic4LBoxScore
40 - 2019-11-12370Rimouski Oceanic2Manitoba Moose5LBoxScore
42 - 2019-11-14388Rimouski Oceanic1Seattle Thunderbirds4LBoxScore
44 - 2019-11-16400Drummondville Voltigeurs1Rimouski Oceanic2WXBoxScore
45 - 2019-11-17418Rimouski Oceanic6Grand Rapids Griffins2WBoxScore
46 - 2019-11-18433Binghampton Senators4Rimouski Oceanic5WBoxScore
48 - 2019-11-20448Rimouski Oceanic6Hershey Bears10LBoxScore
50 - 2019-11-22463Chicoutimi Sagueneens7Rimouski Oceanic4LBoxScore
51 - 2019-11-23479Rimouski Oceanic2Hershey Bears8LBoxScore
52 - 2019-11-24491Rimouski Oceanic3Manitoba Moose2WBoxScore
54 - 2019-11-26503Las Vegas Wranglers5Rimouski Oceanic2LBoxScore
56 - 2019-11-28524Laval Rockets8Rimouski Oceanic1LBoxScore
57 - 2019-11-29536Rimouski Oceanic1Las Vegas Wranglers5LBoxScore
59 - 2019-12-01555Sherbrooke Phoenix5Rimouski Oceanic2LBoxScore
61 - 2019-12-03569Rimouski Oceanic1Toronto Marlies5LBoxScore
62 - 2019-12-04583Rimouski Oceanic4Quebec Rempart8LBoxScore
63 - 2019-12-05592London Knights3Rimouski Oceanic5WBoxScore
65 - 2019-12-07610Rimouski Oceanic7Laval Rockets5WBoxScore
66 - 2019-12-08622Brampton Battalion5Rimouski Oceanic9WBoxScore
68 - 2019-12-10640Quebec Rempart2Rimouski Oceanic6WBoxScore
70 - 2019-12-12657Rimouski Oceanic2Worcester Sharks3LBoxScore
71 - 2019-12-13672Chicoutimi Sagueneens2Rimouski Oceanic4WBoxScore
73 - 2019-12-15687Rimouski Oceanic3Chicoutimi Sagueneens8LBoxScore
75 - 2019-12-17702Portland Pirates5Rimouski Oceanic3LBoxScore
76 - 2019-12-18721Lowell Devils3Rimouski Oceanic1LBoxScore
77 - 2019-12-19731Rimouski Oceanic6Sherbrooke Phoenix3WBoxScore
79 - 2019-12-21748Rimouski Oceanic5Rochester Americans4WBoxScore
81 - 2019-12-23760Bridgeport Sound Tigers6Rimouski Oceanic5LXXBoxScore
82 - 2019-12-24779Rimouski Oceanic7Boisbriand Armada1WBoxScore
83 - 2019-12-25787Rimouski Oceanic2London Knights3LXXBoxScore
84 - 2019-12-26802Hershey Bears6Rimouski Oceanic1LBoxScore
87 - 2019-12-29822Worcester Sharks5Rimouski Oceanic3LBoxScore
89 - 2019-12-31843Hartford Wolf Pack8Rimouski Oceanic2LBoxScore
90 - 2020-01-01855Rimouski Oceanic2Hartford Wolf Pack6LBoxScore
92 - 2020-01-03873Chicago Wolves4Rimouski Oceanic7WBoxScore
93 - 2020-01-04879Rimouski Oceanic2Portland Pirates1WXBoxScore
95 - 2020-01-06896Rimouski Oceanic5Peoria Riverman4WXBoxScore
96 - 2020-01-07907Rimouski Oceanic7Brampton Battalion2WBoxScore
97 - 2020-01-08922Milwaukee Admirals2Rimouski Oceanic4WBoxScore
99 - 2020-01-10936Rimouski Oceanic0Bridgeport Sound Tigers3LBoxScore
100 - 2020-01-11952Lake Erie Monsters9Rimouski Oceanic3LBoxScore
102 - 2020-01-13970Rimouski Oceanic3Calgary Hitman4LXXBoxScore
103 - 2020-01-14974Rimouski Oceanic6Hartford Wolf Pack7LBoxScore
104 - 2020-01-15988Lake Erie Monsters4Rimouski Oceanic2LBoxScore
107 - 2020-01-181010Philadelphia Phantoms2Rimouski Oceanic1LXXBoxScore
108 - 2020-01-191021Rimouski Oceanic2Drummondville Voltigeurs3LXXBoxScore
110 - 2020-01-211039Rimouski Oceanic3Philadelphia Phantoms1WBoxScore
111 - 2020-01-221047Philadelphia Phantoms2Rimouski Oceanic1LBoxScore
113 - 2020-01-241066Rimouski Oceanic4Binghampton Senators2WBoxScore
114 - 2020-01-251073Rimouski Oceanic4Victoriaville Tigres5LBoxScore
115 - 2020-01-261081Boisbriand Armada5Rimouski Oceanic2LBoxScore
117 - 2020-01-281104Peoria Riverman5Rimouski Oceanic2LBoxScore
119 - 2020-01-301115Rimouski Oceanic6Lowell Devils5WXXBoxScore
121 - 2020-02-011134Rimouski Oceanic4Bridgeport Sound Tigers7LBoxScore
122 - 2020-02-021139Toronto Marlies3Rimouski Oceanic2LXBoxScore
124 - 2020-02-041162Rochester Americans8Rimouski Oceanic3LBoxScore
125 - 2020-02-051176Rimouski Oceanic4Texas Stars3WXBoxScore
128 - 2020-02-081194Manitoba Moose5Rimouski Oceanic3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
133 - 2020-02-131229Manitoba Moose3Rimouski Oceanic4WXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance61,96531,417
Attendance PCT75.57%76.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2278 - 75.92% 95,942$3,933,641$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,822,080$ 1,905,680$ 1,905,680$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,822,080$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,669$ 0$




OverallHomeVisitor
Year 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 Regular Season82214604335275371-964192401322133188-5541122203013142183-41642754517260052113103102055503747776543043997116112991726839.53%2208461.82%6599130246.01%791175345.12%616133546.14%143963318158061719899