Requins

GP: 84 | W: 43 | L: 33 | OTL: 8 | P: 94
GF: 394 | GA: 436 | PP%: 27.22% | PK%: 72.35%
GM : Karl Freniere | Morale : 50 | Team Overall : 77
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
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
# 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
1Josh Anderson0X100.00714652376756757335828474555361050820
2Christian Dvorak (R)0X100.00442473343774886978848179613830050810
3Austin Watson0X100.00744348496155846539827982526259050800
4Ryan Spooner0X100.00322173263968797555878269755731050800
5Brendan Perlini (R)0X100.00412669345370887032818571744636050800
6Cedric Paquette0X100.00804338495056636368807976635359050780
7Emerson Etem0XX100.00582673445660826635808169655841050780
8Nate Thompson0X100.00804262516951546180797777588266050780
9Ondrej Kase (R)0X100.00492170383455826933828169755028050760
10Zach Sanford (R)0X100.00452769445250876446808069654236050750
11Nicholas Baptiste (R)0X100.00422668404841856835708563574641050720
12Michael Mersch0X100.00412679615848865834697761574837050700
13Connor Brickley0X100.00563162605239865830737561574945050690
14Evgeny Svechnikov (R)0X100.00172774674962855630677155764537050690
15Brandon Carlo (R)0X100.00393259505272818227807484543850050840
16Joel Edmundson0X100.00763851506958818323807575514960050830
17Patrick Wiercioch0X100.00412967495958768227797468595738050800
18Steven Santini0X100.00832967515156878329797572574537050800
19Joe Morrow0X100.00633471514955818129787464575151050790
20Scott Harrington0X100.00643260556245807829757365545856050770
21Tyler Wotherspoon0X100.00312979625444797130717055565846050720
22Morgan Ellis0X100.00203277655730856930707050574750050680
Scratches
TEAM AVERAGE100.0052316649545581703978776961514505077
Filter Tips
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Tristan Jarry100.0087704686898792898767573334050820
Scratches
TEAM AVERAGE100.008770468689879289876757333405082
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
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
# Player Name Team NamePOS GP 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
1Josh AndersonRequins (COU)RW765754111968022214639811621614.32%55165421.77201737101228246213339444.39%6157826031.34240001297
2Emerson EtemRequins (COU)LW/RW84426310572201407831410720113.38%30138316.4711142566233000003039.34%618721031.5200000632
3Christian DvorakRequins (COU)C7628679511120571432587814510.85%51137818.1482533522330114783360.96%11913418201.3813000445
4Joel EdmundsonRequins (COU)D84355893-1188026010721312312416.43%125202924.1671623682511128282410.00%05274040.9200000333
5Steven SantiniRequins (COU)D762157783234015016722593939.33%130169022.25521266121832516195300.00%03952000.92000004210
6Ryan SpoonerRequins (COU)C762646726160311092429716410.74%35126116.607152255218000011151.07%9772720001.1401000133
7Nate ThompsonRequins (COU)C841751681940010574135388212.59%2896311.462242152132192068.04%9013221021.4100000021
8Andre BurakovskyCousinLW1727305798092368183339.71%1227916.4425711400000111052.17%23128034.0800000113
9Austin WatsonRequins (COU)LW8427255221095112781855311514.59%2692611.0300000011053045.45%445422021.1200001121
10Brandon CarloRequins (COU)D76124052-16806615318787866.42%153191725.2391423602360115289100.00%02667000.5400000131
11Joe MorrowRequins (COU)D84153449221405448107324314.02%49108512.926915253200002000.00%01823030.9000000112
12Scott HarringtonRequins (COU)D84112132275401106771264115.49%63116013.81000002135104110.00%01325010.5500000011
13Cedric PaquetteRequins (COU)C844273117915125629440614.26%186327.5300000000001058.49%4242718000.9800100001
14Brendan PerliniRequins (COU)LW7614163016140837111406312.61%125697.4900000000002036.36%22114001.0500000032
15Nicholas BaptisteRequins (COU)RW761111221620212275193914.67%105667.4500000000000350.00%16215000.7800000011
16Sven BaertschiCousinLW633604017155820.00%112921.590221161012330075.00%811000.9301000001
17Patrick WierciochRequins (COU)D1405511601214135110.00%1129220.88022236000034000.00%0511000.3400000000
18Ondrej KaseRequins (COU)LW76123-1204071314.29%0400.5302208000131018.18%1130001.4900000000
19Evgeny SvechnikovRequins (COU)RW760000002194120.00%51522.010000000021120029.89%8753000.0000000000
20Zach SanfordRequins (COU)LW76000000102040.00%060.0900000000000050.00%400000.0000000000
Team Total or Average138535161096117564020149013542724979153412.89%8141811913.08771442215041772111223661507351356.27%43845454192211.0639101343844
Filter Tips
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
1Tristan JarryRequins (COU)76402880.8972.9245574322221651121110.91712760641
Team Total or Average76402880.8972.9245574322221651121110.91712760641


Filter Tips
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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Austin WatsonRequins (COU)LW251992-01-13No204 Lbs193 CMNoNoNo4RFAPro & Farm575,000$0$0$No1,100,000$1,100,000$1,100,000$Link / NHL Link
Brandon CarloRequins (COU)D201996-11-26Yes203 Lbs196 CMNoNoNo2ELCPro & Farm894,167$0$0$No894,167$Link / NHL Link
Brendan PerliniRequins (COU)LW211996-04-27Yes211 Lbs191 CMNoNoNo2ELCPro & Farm1,363,333$0$0$No1,363,333$Link / NHL Link
Cedric PaquetteRequins (COU)C241993-08-13No198 Lbs185 CMNoNoNo3RFAPro & Farm925,000$0$0$No812,500$812,500$Link / NHL Link
Christian DvorakRequins (COU)C211996-02-02Yes187 Lbs183 CMNoNoNo2ELCPro & Farm1,106,667$0$0$No1,106,667$Link / NHL Link
Connor BrickleyRequins (COU)C251992-02-25No203 Lbs183 CMNoNoNo3RFAPro & Farm650,000$0$0$No750,000$750,000$Link
Emerson EtemRequins (COU)LW/RW251992-06-16No212 Lbs185 CMNoNoNo2RFAPro & Farm775,000$0$0$No775,000$Link / NHL Link
Evgeny SvechnikovRequins (COU)RW201996-10-31Yes205 Lbs191 CMNoNoNo2ELCPro & Farm1,106,667$0$0$No1,106,667$Link
Joe MorrowRequins (COU)D241992-12-09No199 Lbs183 CMNoNoNo2RFAPro & Farm800,000$0$0$No800,000$Link / NHL Link
Joel EdmundsonRequins (COU)D241993-06-28No220 Lbs193 CMNoNoNo3RFAPro & Farm1,050,000$0$0$No1,050,000$1,050,000$Link / NHL Link
Josh AndersonRequins (COU)RW231994-05-07No221 Lbs191 CMNoNoNo2RFAPro & Farm894,000$0$0$No894,000$Link / NHL Link
Michael MerschRequins (COU)LW241992-10-02No213 Lbs188 CMNoNoNo1RFAPro & Farm925,000$0$0$No
Morgan EllisRequins (COU)D251992-04-30No211 Lbs185 CMNoNoNo1RFAPro & Farm575,000$0$0$No
Nate ThompsonRequins (COU)C321984-10-05No212 Lbs183 CMNoNoNo1UFAPro & Farm450,000$0$0$NoNHL Link
Nicholas BaptisteRequins (COU)RW221995-08-04Yes206 Lbs185 CMNoNoNo2ELCPro & Farm878,333$0$0$No878,333$
Ondrej KaseRequins (COU)LW211995-11-08Yes180 Lbs183 CMNoNoNo2ELCPro & Farm706,667$0$0$No706,667$NHL Link
Patrick WierciochRequins (COU)D271990-09-12No202 Lbs196 CMNoNoNo1RFAPro & Farm2,000,000$0$0$NoNHL Link
Ryan SpoonerRequins (COU)C251992-01-30No184 Lbs178 CMNoNoNo2RFAPro & Farm950,000$0$0$No950,000$NHL Link
Scott HarringtonRequins (COU)D241993-03-10No219 Lbs188 CMNoNoNo2RFAPro & Farm632,000$0$0$No632,000$NHL Link
Steven SantiniRequins (COU)D221995-03-07No207 Lbs188 CMNoNoNo3ELCPro & Farm925,000$0$0$No925,000$925,000$NHL Link
Tristan JarryRequins (COU)G221995-04-29No194 Lbs188 CMNoNoNo2ELCPro & Farm905,000$0$0$No905,000$NHL Link
Tyler WotherspoonRequins (COU)D241993-03-12No207 Lbs188 CMNoNoNo3RFAPro & Farm925,000$0$0$No650,000$650,000$
Zach SanfordRequins (COU)LW221994-11-09Yes203 Lbs193 CMNoNoNo2ELCPro & Farm925,000$0$0$No925,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2323.57204 Lbs188 CM2.13910,297$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Christian DvorakJosh Anderson40122
2Ryan SpoonerEmerson Etem30122
3Austin WatsonNate Thompson20122
4Brendan PerliniCedric PaquetteNicholas Baptiste10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon CarloJoel Edmundson40122
2Steven Santini30122
3Joe MorrowScott Harrington20122
4Brandon CarloJoel Edmundson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Christian DvorakJosh Anderson60122
2Ryan SpoonerEmerson Etem40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon CarloJoel Edmundson60122
2Steven Santini40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh Anderson60122
2Christian Dvorak40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon CarloJoel Edmundson60122
2Steven Santini40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Anderson60122Brandon CarloJoel Edmundson60122
240122Steven Santini40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh Anderson60122
2Christian Dvorak40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon CarloJoel Edmundson60122
2Steven Santini40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Christian DvorakJosh AndersonBrandon CarloJoel Edmundson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Christian DvorakJosh AndersonBrandon CarloJoel Edmundson
Extra Forwards
Normal PowerPlayPenalty Kill
Ondrej Kase, Zach Sanford, Evgeny SvechnikovOndrej Kase, Zach SanfordEvgeny Svechnikov
Extra Defensemen
Normal PowerPlayPenalty Kill
Joe Morrow, Scott Harrington, Steven SantiniJoe MorrowScott Harrington, Steven Santini
Penalty Shots
Josh Anderson, , Christian Dvorak, , Austin Watson
Goalie
#1 : Tristan Jarry, #2 :


Filter Tips
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
1Barracuda22000000725110000003121100000041341.000711180013414011647798898194736488163610330.00%8187.50%01003184154.48%821160251.25%740141352.37%2064141617976511219594
2Benchwarmers85201000572829430010001810842200000391821120.7505793150001341401164297988981947361976758163471531.91%291162.07%01003184154.48%821160251.25%740141352.37%2064141617976511219594
3Caribou20000200911-21000010045-11000010056-120.5009152400134140116487988981947365717123914321.43%6266.67%11003184154.48%821160251.25%740141352.37%2064141617976511219594
4Casse-Tete20100001610-41000000145-11010000025-310.250610160013414011647198898194736732819406233.33%8187.50%01003184154.48%821160251.25%740141352.37%2064141617976511219594
5Chevalier31100100880211000006511000010023-130.5008152300134140116410098898194736922524617114.29%12283.33%11003184154.48%821160251.25%740141352.37%2064141617976511219594
6Diabotins962001006714535410000056551421001001192130.722671161831113414011643229889819473617555661843026.67%33778.79%41003184154.48%821160251.25%740141352.37%2064141617976511219594
7Evil Saints33000000208122200000084411000000124861.00020375700134140116411198898194736874836506350.00%18666.67%01003184154.48%821160251.25%740141352.37%2064141617976511219594
8Giants713001202254-322010010069-3512000201645-2970.50022345600134140116424298898194736220746912436822.22%331457.58%31003184154.48%821160251.25%740141352.37%2064141617976511219594
9Hooligans73300010242223110001012102422000001212080.571244165001341401164257988981947362261117412013538.46%37975.68%11003184154.48%821160251.25%740141352.37%2064141617976511219594
10Hybrides835000002879-51633000002470-462020000049-560.37528467400134140116427198898194736230775614530723.33%28871.43%01003184154.48%821160251.25%740141352.37%2064141617976511219594
11Jardiniers725000005463-9312000001522-7413000003941-240.2865488142001341401164227988981947362469856126211257.14%28775.00%11003184154.48%821160251.25%740141352.37%2064141617976511219594
12Leftovers73400000252414220000015132312000001011-160.42925446900134140116421698898194736233698311827725.93%40880.00%01003184154.48%821160251.25%740141352.37%2064141617976511219594
13Pirates640002002091132000100853320001001248100.833203656011341401164226988981947361386048129200.00%24291.67%01003184154.48%821160251.25%740141352.37%2064141617976511219594
14Royaux22000000743110000004311100000031241.000712190013414011645298898194736662318369333.33%9188.89%01003184154.48%821160251.25%740141352.37%2064141617976511219594
15St Johns431000002110112200000091821100000129360.750213758011341401164153988981947369325297316637.50%15566.67%01003184154.48%821160251.25%740141352.37%2064141617976511219594
Total84393301731394436-42422313013111971781942162000420197258-61940.5603946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
17Werewolves505000001385-721010000035-2404000001080-7000.0001325380013414011641629889819473614362409432618.75%201335.00%01003184154.48%821160251.25%740141352.37%2064141617976511219594
18Zombie211000006511010000025-31100000040420.500691501134140116470988981947365918203310330.00%10280.00%01003184154.48%821160251.25%740141352.37%2064141617976511219594
_Since Last GM Reset84393301731394436-42422313013111971781942162000420197258-61940.5603946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
_Vs Conference552720014302902246626157012101397564291213002201511492660.600290489779131341401164194098898194736152855948310371925528.65%2396373.64%91003184154.48%821160251.25%740141352.37%2064141617976511219594
_Vs Division18179013008890-29103011003337-49760020055532391.0838814923701134140116462498898194736549211147356361541.67%721283.33%21003184154.48%821160251.25%740141352.37%2064141617976511219594

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8494L2394669106329412383865724157114
All Games
GPWLOTWOTL SOWSOLGFGA
8439331731394436
Home Games
GPWLOTWOTL SOWSOLGFGA
4223131311197178
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4216200420197258
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3168627.22%3589972.35%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
988981947361341401164
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1003184154.48%821160251.25%740141352.37%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2064141617976511219594


Last Played Games
Filter Tips
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2017-10-028Hybrides26Requins4LBoxScore
3 - 2017-10-0316Requins1Werewolves33LBoxScore
4 - 2017-10-0418Requins33Jardiniers30WBoxScore
5 - 2017-10-0528Requins2Giants36LBoxScore
7 - 2017-10-0737Hybrides34Requins4LBoxScore
10 - 2017-10-1049Diabotins0Requins43WBoxScore
11 - 2017-10-1154Requins34Benchwarmers9WBoxScore
14 - 2017-10-1466Requins2Werewolves33LBoxScore
15 - 2017-10-1572Benchwarmers3Requins6WBoxScore
17 - 2017-10-1786Hooligans5Requins4LBoxScore
19 - 2017-10-1994Benchwarmers1Requins2WXBoxScore
21 - 2017-10-21104Requins2Benchwarmers4LBoxScore
23 - 2017-10-23113Requins3Hooligans5LBoxScore
26 - 2017-10-26122Leftovers2Requins4WBoxScore
27 - 2017-10-27132Hybrides3Requins7WBoxScore
28 - 2017-10-28136Requins2Diabotins3LXBoxScore
30 - 2017-10-30151Hooligans2Requins4WBoxScore
32 - 2017-11-01159Requins3Royaux1WBoxScore
34 - 2017-11-03167Hooligans3Requins4WXXBoxScore
36 - 2017-11-05177Requins0Benchwarmers4LBoxScore
38 - 2017-11-07187Requins2Chevalier3LXBoxScore
40 - 2017-11-09193Barracuda1Requins3WBoxScore
43 - 2017-11-12204Pirates2Requins1LXBoxScore
46 - 2017-11-15215Requins2Pirates3LXBoxScore
47 - 2017-11-16220Chevalier4Requins3LBoxScore
49 - 2017-11-18234Requins5Giants4WXXBoxScore
51 - 2017-11-20241St Johns1Requins5WBoxScore
53 - 2017-11-22250Requins4Werewolves5LBoxScore
55 - 2017-11-24260Hybrides2Requins1LBoxScore
56 - 2017-11-25270Requins2Pirates0WBoxScore
57 - 2017-11-26275Caribou5Requins4LXBoxScore
59 - 2017-11-28286Requins12Evil Saints4WBoxScore
61 - 2017-11-30296Hybrides2Requins4WBoxScore
63 - 2017-12-02305Requins3Werewolves9LBoxScore
65 - 2017-12-04313Evil Saints2Requins4WBoxScore
67 - 2017-12-06323Requins2Hybrides4LBoxScore
69 - 2017-12-08331Requins8Pirates1WBoxScore
70 - 2017-12-09338Pirates2Requins3WBoxScore
73 - 2017-12-12347Requins1Hooligans3LBoxScore
74 - 2017-12-13355Jardiniers4Requins3LBoxScore
75 - 2017-12-14361Requins4Diabotins1WBoxScore
77 - 2017-12-16372Leftovers5Requins2LBoxScore
79 - 2017-12-18385Requins4Zombie0WBoxScore
81 - 2017-12-20390Leftovers4Requins3LBoxScore
83 - 2017-12-22402Hybrides3Requins4WBoxScore
85 - 2017-12-24411Requins3Benchwarmers1WBoxScore
86 - 2017-12-25417Requins1Giants2LBoxScore
88 - 2017-12-27427Zombie5Requins2LBoxScore
91 - 2017-12-30438Giants3Requins2LXBoxScore
94 - 2018-01-02451Casse-Tete5Requins4LXXBoxScore
95 - 2018-01-03456Requins5Hooligans2WBoxScore
98 - 2018-01-06470Leftovers2Requins6WBoxScore
101 - 2018-01-09482Requins4Leftovers5LBoxScore
102 - 2018-01-10488Requins2Jardiniers4LBoxScore
104 - 2018-01-12496Jardiniers6Requins8WBoxScore
105 - 2018-01-13505Requins2Casse-Tete5LBoxScore
107 - 2018-01-15514Jardiniers12Requins4LBoxScore
110 - 2018-01-18524Diabotins1Requins5WBoxScore
112 - 2018-01-20536Requins3Hooligans2WBoxScore
113 - 2018-01-21542Diabotins2Requins1LBoxScore
116 - 2018-01-24549Requins1St Johns4LBoxScore
117 - 2018-01-25559Requins11St Johns5WBoxScore
118 - 2018-01-26566Evil Saints2Requins4WBoxScore
120 - 2018-01-28578St Johns0Requins4WBoxScore
122 - 2018-01-30588Requins3Leftovers2WBoxScore
124 - 2018-02-01597Chevalier1Requins3WBoxScore
127 - 2018-02-04612Requins2Hybrides5LBoxScore
128 - 2018-02-05616Benchwarmers2Requins3WBoxScore
130 - 2018-02-07630Diabotins1Requins2WBoxScore
132 - 2018-02-09638Requins3Giants2WXXBoxScore
133 - 2018-02-10648Werewolves5Requins3LBoxScore
135 - 2018-02-12655Requins4Barracuda1WBoxScore
136 - 2018-02-13664Requins5Caribou6LXBoxScore
138 - 2018-02-15668Requins2Jardiniers3LBoxScore
139 - 2018-02-16675Pirates1Requins4WBoxScore
141 - 2018-02-18687Diabotins1Requins5WBoxScore
143 - 2018-02-20697Requins4Diabotins2WBoxScore
145 - 2018-02-22706Benchwarmers4Requins7WBoxScore
147 - 2018-02-24711Requins5Giants1WBoxScore
150 - 2018-02-27721Requins2Jardiniers4LBoxScore
152 - 2018-03-01728Giants6Requins4LBoxScore
154 - 2018-03-03739Royaux3Requins4WBoxScore
155 - 2018-03-04743Requins1Diabotins3LBoxScore
158 - 2018-03-07756Requins3Leftovers4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,127,969$ 2,093,684$ 1,504,384$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,168$ 2,127,969$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 13,168$ 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
201784393301731394436-42422313013111971781942162000420197258-61943946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594
Total Regular Season84393301731394436-42422313013111971781942162000420197258-61943946691063141341401164294198898194736238386572415713168627.22%3589972.35%111003184154.48%821160251.25%740141352.37%2064141617976511219594