Association Québécoise de Hockey Simulé - Bandits 

Bandits

GP: 16 | W: 10 | L: 5 | OTL: 1 | P: 21
GF: 57 | GA: 58 | PP%: 32.14% | PK%: 75.00%
DG: Guillaume Blais-Lortie | Morale : 90 | Moyenne d'Équipe : 60
Prochain matchs #262 vs Twins
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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
1Trevor MooreX98.00694589855985716530666472868882090670
2Kirill Marchenko (R)X100.00594588837081716230467962858275090660
3Phillip Di GiuseppeX100.00864582846273406130566674698981090650
4Josh ArchibaldX100.00994876815050755330485887669077090640
5Jay BeagleX100.00804873747769404787425275509687090630
6Sam CarrickX100.00896950776653635179465567659179090620
7Joey Anderson (R)X100.00674595786959465530466378668473090620
8Jack Studnicka (R)X100.00754586796153585278475764668472090610
9Nils Hoglander (R)X100.00654588845260406030606060688271090610
10Aliaksei Protas (R)X100.00614589769058705630565658678271090610
11Rasmus Asplund (R)X100.00574593805655565230515466668573090580
12Rudolfs BalcersX100.00534590825551405530486255678673090580
13Matt IrwinX98.00905779776554744930445469509583090650
14Sean WalkerX98.00714581805662855330525569668877090650
15Riley StillmanX100.00835775796161605230515264668574090630
16Nikita Okhotyuk (R)X100.00814592766050404830405666508270090600
17Ronald AttardX100.00504595747170404530405068508475090600
18Chris WidemanX100.00584847804756565030515061659381090600
Rayé
1Brett LeasonX100.00604588758555655230455955668371090580
2Jeffrey Viel (R)X100.00524592757250404530405062508673090540
3Tristen Robins (R)X100.00504595795069404530405061508172090540
4Joey Keane (R)X100.00504595775450404530405055508471090560
5Declan Chisholm (R)X100.00504595785550404530405055508370090560
6Jordan Spence (R)X100.00504595784758404730445056508270090560
7Ben Gleason (R)X100.00504595785350404530405055508572090560
MOYENNE D'ÉQUIPE99.7666478579625953523647566561867509060
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
1Justus Annunen (R)98.0070506291707070707070708269090620
2Mikko Koskinen100.0070404090656565656565659390090600
Rayé
1Adam Wilcox100.0070404083656565656565658570090580
MOYENNE D'ÉQUIPE99.337043478867676767676767877609060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andrew Brunette65656565847872CAN5041,800,000$


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'ÉquipePOS 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
1Trevor MooreBandits (OTT)RW16101323000272957254917.54%1134321.5024610410110311149.23%65296001.3412000041
2Sam CarrickBandits (OTT)C1651116-112034252782018.52%1127317.12347633000001063.21%19357001.1700000100
3Phillip Di GiuseppeBandits (OTT)LW1621315-27531196220443.23%530719.2218911360002230047.62%21176000.9801001001
4Jay BeagleBandits (OTT)C154913016025311671325.00%626317.55246342000000064.71%35742000.9901000202
5Kirill MarchenkoBandits (OTT)LW1167131175121653213311.32%224822.571346261011192133.33%18146001.0511100202
6Joey AndersonBandits (OTT)RW165611-175151541152212.20%624815.52101221000001158.33%12115000.8900010110
7Matt IrwinBandits (OTT)D144610-4401715199321.05%1230822.07314735000218100.00%0514000.6511000001
8Aliaksei ProtasBandits (OTT)C16369-72020122962010.34%724015.0600006000140142.57%10196000.7501000010
9Conor GarlandOttawa LumberjacksRW55490407113071716.67%011823.72325616000190057.69%2663011.5201000101
10Josh ArchibaldBandits (OTT)LW16437-860412327121814.81%727917.461232150000201050.00%277000.5001000110
11Sean WalkerBandits (OTT)D15156-5115172420785.00%1034523.04123341000029100.00%0427000.3500001000
12Jeffrey VielBandits (OTT)LW512302065102100.00%07014.0100000000030040.00%521000.8600000000
13Kyle BurroughsOttawa LumberjacksD10033-4115171210880.00%1724524.55000126000019000.00%0618000.2400001010
14Rasmus AsplundBandits (OTT)C8022-300744040.00%1678.4900000000030037.50%3222000.5900000000
15Ronald AttardBandits (OTT)D16202-100310123216.67%725916.200000700009000.00%0012000.1500000100
16Riley StillmanBandits (OTT)D16112-51152317471025.00%1530118.82011029000017000.00%0214000.1300100001
17Rudolfs BalcersBandits (OTT)RW111123002231133.33%0585.3400006000001050.00%1600000.6800000000
18Jack StudnickaBandits (OTT)RW13101-5008470314.29%3906.9900003000010185.71%712000.2200000000
19Nils HoglanderBandits (OTT)RW16101-62020103010123.33%319612.2800012000030030.00%1034000.1001000010
20Jordan SpenceBandits (OTT)D1011100121010.00%11515.400000000001000.00%000001.3000000000
21Chris WidemanBandits (OTT)D13011-2601166320.00%622517.3500001500009000.00%0214000.0900000000
22Josh MahuraOttawa LumberjacksD3011-2002116100.00%77725.6801111000008000.00%023000.2601000000
23Brett LeasonBandits (OTT)RW6000000001000.00%0193.3200000000000033.33%300000.0000000000
24Declan ChisholmBandits (OTT)D1000000110000.00%01313.450000000001000.00%002000.0000000000
25Nikita OkhotyukBandits (OTT)D13000-1001286240.00%415011.61000140000600100.00%126000.0000000000
Stats d'équipe Total ou en Moyenne2885695151-521183035931247217229611.86%141477016.571832506042511272429557.54%869133167010.63311213999
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
1Justus AnnunenBandits (OTT)1610510.8613.589380056402209000.81811160010
2Mikko KoskinenBandits (OTT)20000.9171.8832001124000.0000016000
Stats d'équipe Total ou en Moyenne1810510.8623.539700057414213000.818111616010


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Adam WilcoxBandits (OTT)G301992-10-12No189 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Aliaksei ProtasBandits (OTT)C222001-01-06Yes225 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Ben GleasonBandits (OTT)D241998-10-12Yes180 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Brett LeasonBandits (OTT)RW241999-04-30No218 Lbs6 ft5NoNoNo2Avec RestrictionPro & Farm950,000$0$0$No
Chris WidemanBandits (OTT)D331990-01-07No181 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm950,000$0$0$No
Declan ChisholmBandits (OTT)D232000-01-12Yes185 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Jack StudnickaBandits (OTT)RW241999-02-18Yes187 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Jay BeagleBandits (OTT)C381984-10-16No210 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Jeffrey VielBandits (OTT)LW261997-01-28Yes205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm800,000$0$0$No
Joey AndersonBandits (OTT)RW251998-06-19Yes207 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Joey KeaneBandits (OTT)D241999-07-02Yes187 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm800,000$0$0$No
Jordan SpenceBandits (OTT)D222001-02-24Yes180 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Josh ArchibaldBandits (OTT)LW301992-10-06No176 Lbs5 ft10NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$No
Justus AnnunenBandits (OTT)G232000-03-11Yes210 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Kirill MarchenkoBandits (OTT)LW232000-07-21Yes197 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Matt IrwinBandits (OTT)D351987-11-29No200 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Mikko KoskinenBandits (OTT)G351988-07-18No202 Lbs6 ft7NoNoNo2Sans RestrictionPro & Farm3,500,000$0$0$No
Nikita OkhotyukBandits (OTT)D222000-12-04Yes195 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm800,000$0$0$No
Nils HoglanderBandits (OTT)RW222000-12-20Yes185 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Phillip Di GiuseppeBandits (OTT)LW291993-10-09No193 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm900,000$0$0$No
Rasmus AsplundBandits (OTT)C251997-12-03Yes185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm1,250,000$0$0$No
Riley StillmanBandits (OTT)D251998-03-09No196 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,000,000$0$0$No
Ronald AttardBandits (OTT)D241999-03-20No208 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,025,000$0$0$No
Rudolfs BalcersBandits (OTT)RW261997-04-08No182 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Sam CarrickBandits (OTT)C311992-02-04No200 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm850,000$0$0$No
Sean WalkerBandits (OTT)D281994-11-13No195 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm750,000$0$0$No
Trevor MooreBandits (OTT)RW281995-03-31No195 Lbs5 ft10NoNoNo4Sans RestrictionPro & Farm2,000,000$0$0$No
Tristen RobinsBandits (OTT)C212001-11-15Yes176 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2826.50195 Lbs6 ft12.711,018,750$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kirill MarchenkoJay BeagleTrevor Moore35122
2Phillip Di GiuseppeSam CarrickJoey Anderson30122
3Josh ArchibaldAliaksei ProtasNils Hoglander25122
4Trevor MooreRasmus AsplundJack Studnicka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerMatt Irwin35122
2Riley StillmanChris Wideman30122
3Ronald AttardNikita Okhotyuk25122
4Sean WalkerMatt Irwin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kirill MarchenkoJay BeagleTrevor Moore55122
2Phillip Di GiuseppeSam CarrickJoey Anderson45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerMatt Irwin55122
2Riley StillmanChris Wideman45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Trevor MooreKirill Marchenko55122
2Phillip Di GiuseppeJosh Archibald45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerMatt Irwin55122
2Riley StillmanChris Wideman45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Trevor Moore55122Sean WalkerMatt Irwin55122
2Kirill Marchenko45122Riley StillmanChris Wideman45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Trevor MooreKirill Marchenko55122
2Phillip Di GiuseppeJosh Archibald45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Sean WalkerMatt Irwin55122
2Riley StillmanChris Wideman45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kirill MarchenkoJay BeagleTrevor MooreSean WalkerMatt Irwin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kirill MarchenkoJay BeagleTrevor MooreSean WalkerMatt Irwin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rudolfs Balcers, Aliaksei Protas, Nils HoglanderRudolfs Balcers, Aliaksei ProtasNils Hoglander
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ronald Attard, Nikita Okhotyuk, Riley StillmanRonald AttardNikita Okhotyuk, Riley Stillman
Tirs de Pénalité
Trevor Moore, Kirill Marchenko, Phillip Di Giuseppe, Josh Archibald, Jay Beagle
Gardien
#1 : Justus Annunen, #2 : Mikko Koskinen


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
1CoolFm2010001058-3100000104311010000015-420.500561100826195731341821452146131047600.00%5340.00%019534257.02%16128356.89%14423661.02%299154371149299149
2Goons10001000321100010003210000000000021.00035800826195261341821452136131121200.00%30100.00%019534257.02%16128356.89%14423661.02%299154371149299149
3Hunters3200100013103210010009721100000043161.0001322350082619575134182145216614124111436.36%7185.71%019534257.02%16128356.89%14423661.02%299154371149299149
4Husky32100000151141010000015-422000000146840.6671524390082619594134182145218327298512650.00%7185.71%119534257.02%16128356.89%14423661.02%299154371149299149
5Igloos11000000431000000000001100000043121.00047110082619524134182145212279238225.00%20100.00%019534257.02%16128356.89%14423661.02%299154371149299149
6Marmots11000000312110000003120000000000021.0003580082619539134182145211182243133.33%10100.00%019534257.02%16128356.89%14423661.02%299154371149299149
7Saguenéens1010000026-4000000000001010000026-400.000235008261953613418214521331343111100.00%2150.00%019534257.02%16128356.89%14423661.02%299154371149299149
8Spartans10001000321000000000001000100032121.00036900826195211341821452131170173133.33%000.00%019534257.02%16128356.89%14423661.02%299154371149299149
Total1665030115758-1822020112831-38430100029272210.65657951520082619547213418214521414141118359561832.14%401075.00%119534257.02%16128356.89%14423661.02%299154371149299149
10Xpress30200001915-620100001813-51010000012-110.167917260082619584134182145218629417010330.00%13469.23%019534257.02%16128356.89%14423661.02%299154371149299149
_Since Last GM Reset1665030115758-1822020112831-38430100029272210.65657951520082619547213418214521414141118359561832.14%401075.00%119534257.02%16128356.89%14423661.02%299154371149299149
_Vs Conference14640201152502822020112831-36420000024195190.67952861380082619541513418214521350111114311521630.77%38976.32%119534257.02%16128356.89%14423661.02%299154371149299149
_Vs Division13540201149490712020112530-56420000024195170.65449811300082619537613418214521339103112287491530.61%37975.68%119534257.02%16128356.89%14423661.02%299154371149299149

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1621L2579515247241414111835900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
166530115758
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82220112831
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84310002927
Derniers 10 Matchs
WLOTWOTL SOWSOL
342010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
561832.14%401075.00%1
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
13418214521826195
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
19534257.02%16128356.89%14423661.02%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
299154371149299149


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 - 2024-04-067Bandits10Husky3WSommaire du Match
3 - 2024-04-0824Xpress6Bandits5LXXSommaire du Match
4 - 2024-04-0937Marmots1Bandits3WSommaire du Match
7 - 2024-04-1267Hunters5Bandits6WXSommaire du Match
9 - 2024-04-1488Bandits4Husky3WSommaire du Match
10 - 2024-04-1596Bandits1CoolFm5LSommaire du Match
11 - 2024-04-16108CoolFm3Bandits4WXXSommaire du Match
12 - 2024-04-17129Goons2Bandits3WXSommaire du Match
14 - 2024-04-19141Bandits1Xpress2LSommaire du Match
15 - 2024-04-20158Bandits4Igloos3WSommaire du Match
16 - 2024-04-21167Bandits3Spartans2WXSommaire du Match
17 - 2024-04-22182Xpress7Bandits3LSommaire du Match
19 - 2024-04-24195Bandits4Hunters3WSommaire du Match
20 - 2024-04-25212Hunters2Bandits3WSommaire du Match
22 - 2024-04-27232Husky5Bandits1LSommaire du Match
24 - 2024-04-29248Bandits2Saguenéens6LSommaire du Match
25 - 2024-04-30262Twins-Bandits-
27 - 2024-05-02281Vandals-Bandits-
28 - 2024-05-03300Bandits-Marmots-
29 - 2024-05-04309Bandits-Vipers-
31 - 2024-05-06324Igloos-Bandits-
32 - 2024-05-07342CoolFm-Bandits-
34 - 2024-05-09353Bandits-Thugs-
35 - 2024-05-10373Wolves-Bandits-
37 - 2024-05-12395Bandits-Raptors-
38 - 2024-05-13406Chiwawa-Bandits-
39 - 2024-05-14416Bandits-Igloos-
42 - 2024-05-17440TigersCats-Bandits-
43 - 2024-05-18455Bandits-Scorpions-
44 - 2024-05-19471Bandits-Supreme-
45 - 2024-05-20475Bandits-Farmers-
46 - 2024-05-21490Scorpions-Bandits-
47 - 2024-05-22507Bandits-Spartans-
48 - 2024-05-23519Supreme-Bandits-
50 - 2024-05-25539Igloos-Bandits-
52 - 2024-05-27560Xpress-Bandits-
54 - 2024-05-29579Bandits-Husky-
56 - 2024-05-31595Bandits-Barracudas-
57 - 2024-06-01602Husky-Bandits-
59 - 2024-06-03622Saguenéens-Bandits-
60 - 2024-06-04638Bandits-Grizzlies-
62 - 2024-06-06655Smirnoff Ice-Bandits-
63 - 2024-06-07668Bandits-Smirnoff Ice-
64 - 2024-06-08683Bandits-Snowbirds-
65 - 2024-06-09694Bandits-Predateurs-
66 - 2024-06-10707Predateurs-Bandits-
67 - 2024-06-11720Bandits-Vandals-
69 - 2024-06-13738Thugs-Bandits-
71 - 2024-06-15759Barracudas-Bandits-
72 - 2024-06-16778Bandits-Wolves-
73 - 2024-06-17788Goons-Bandits-
75 - 2024-06-19811Marlies-Bandits-
76 - 2024-06-20821Bandits-Hunters-
77 - 2024-06-21839Outlaws-Bandits-
79 - 2024-06-23856Bandits-Marlies-
80 - 2024-06-24870Grizzlies-Bandits-
82 - 2024-06-26885Bandits-TigersCats-
83 - 2024-06-27903Marmots-Bandits-
84 - 2024-06-28914Bandits-Warriors-
86 - 2024-06-30930Warriors-Bandits-
87 - 2024-07-01943Bandits-Xpress-
89 - 2024-07-03957Bandits-Rockets-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04973Bandits-CoolFm-
91 - 2024-07-05982Snowbirds-Bandits-
92 - 2024-07-06999Bandits-Twins-
94 - 2024-07-081015Raptors-Bandits-
96 - 2024-07-101032Bandits-Chiwawa-
97 - 2024-07-111043Bayou-Bandits-
99 - 2024-07-131064Spartans-Bandits-
100 - 2024-07-141070Bandits-Outlaws-
103 - 2024-07-171093Bandits-Bayou-
104 - 2024-07-181102Farmers-Bandits-
106 - 2024-07-201124Rockets-Bandits-
107 - 2024-07-211137Bandits-Goons-
110 - 2024-07-241156Bandits-Goons-
112 - 2024-07-261170Vipers-Bandits-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance15,9498,000
Assistance PCT99.68%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 2994 - 99.79% 101,732$813,858$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,028,363$ 2,852,500$ 2,852,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 642,875$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
3,051,968$ 89 41,173$ 3,664,397$




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
Saison Régulière
4582392906440325269564120130314016812939411916033001571401710232554787202671321161228247441049100142222165677512712537830.83%2545379.13%9954174554.67%788150352.43%715133153.72%1908126118026311243628
4682293404537334342-84120902226188172164192502311146170-2484334538872016711914110255273289090471239978474016752577529.18%2998671.24%5886162254.62%848164351.61%749131556.96%148274820177381482744
471665030115758-1822020112831-384301000292722157951520082619547213418214521414141118359561832.14%401075.00%119534257.02%16128356.89%14423661.02%299154371149299149
Total Saison Régulière180746801398871666947904224073773843325290324406611332337-52077161180189603142277276275848161021212050134503415811633330556617130.21%59314974.87%152035370954.87%1797342952.41%1608288255.79%369021634192151930261522
Séries
451367000004151-10743000002024-4624000002127-6124166107009171503881081341433409140131207411434.15%541474.07%012125846.90%12329042.41%9521943.38%230118353110221113
Total Séries1367000004151-10743000002024-4624000002127-6124166107009171503881081341433409140131207411434.15%541474.07%012125846.90%12329042.41%9521943.38%230118353110221113