Association Québécoise de Hockey Simulé - Thugs 

Thugs

GP: 20 | W: 9 | L: 10 | OTL: 1 | P: 19
GF: 81 | GA: 85 | PP%: 30.36% | PK%: 78.95%
DG: Jean-Philippe Chartier | Morale : 90 | Moyenne d'Équipe : 60
Prochain matchs #320 vs Predateurs
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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
1Michael Amadio (R)X100.0065459082706181623053706268867509064X0
2Nicolas DeslauriersX99.0099874975785197513046566765927909063X0
3Brendan GallagherX100.0056486284537145613053685868908109062X0
4Jesse PuljujarviX100.0088518379746191543052555666847309062X0
5Logan Brown (R)X99.0062458876875240536551555966857209060X0
6Philippe MyersX97.0081459076825040523048566866867409064X0
7Samuel Bolduc (R)X97.00754592767960405330446259668270090610
8Nicolas MelocheX99.00504595747250404530405055508673090570
9Maxime LajoieX100.00504595766150404530405055508572090560
Rayé
1Anthony BeauvillierX100.00674587875481996530626858728578090680
2Nick FolignoX100.00995475817162726330626467699584090670
3Anthony ManthaX100.00695482789371816230606356708879090660
4Joe VelenoX100.00894585796964985573515963678373090650
5Max ComtoisX100.00755763797569775730536255698475090630
6Samuel Poulin (R)X100.00504592747250404730445055508269090540
7Kole Lind (R)X100.00504595795750404530405055508572090530
8Ben Jones (R)X100.00504595776050404530405055508471090530
9Alexandre Fortin (R)X100.00504595795250404530405055508673090520
10Pierre-Olivier Joseph (R)X100.00724579845764915830575872678372090670
11Maxence Guenette (R)X100.00504595785350404530405059508168090560
MOYENNE D'ÉQUIPE99.5567498479685862533449575961867409061
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
1Cayden Primeau (R)99.0070506088707070707070708371090620
Rayé
1Cory Schneider100.0070404090656565656565659582090590
2Kevin Poulin100.0070404087656565656565658782090590
3Antoine Bibeau100.0070404091656565656565658572090580
MOYENNE D'ÉQUIPE99.757043458966666666666666887709060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher65656565867768CAN5222,000,000$


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
1Max ComtoisThugs (BOS)LW171312254280371760144021.67%1131618.5923511190000172150.00%20179011.5800000320
2Joe VelenoThugs (BOS)C179112019531355072018.00%1036821.651568290002431159.30%4891011011.0900001110
3Jesse PuljujarviThugs (BOS)RW13910191100231655203416.36%722617.425271024000032063.16%19144001.6800000200
4Michael AmadioThugs (BOS)C2010818-1175272875324613.33%836718.3951614330001361039.78%2692317000.9800100022
5Logan BrownThugs (BOS)C206101690016276619299.09%731315.67101160000131161.01%1591110001.0200000201
6Brendan GallagherThugs (BOS)RW206713-216026256410429.38%930615.340115160001210159.26%27158000.8500000021
7Anthony ManthaThugs (BOS)RW96713-320161141182614.63%520322.632134150001171025.00%28105011.2800000100
8Pierre-Olivier JosephThugs (BOS)D1411112012012133710162.70%1333724.08022331000234000.00%0521000.7100000001
9Alexandre CarrierBoston BruinsD1811011-11751926251294.00%3041523.06022538000059000.00%1322000.5300100001
10Nick FolignoThugs (BOS)LW92810-4401594411294.55%119321.550334170000230044.44%996001.0300000000
11Anthony BeauvillierThugs (BOS)RW94610-5202014529337.69%421624.090224160001240027.27%1101612000.9200000000
12Maxime LajoieThugs (BOS)D1944870061427131214.81%726614.03000050000101050.00%2312000.6000000111
13Vincent DesharnaisBoston BruinsD19246-330103225209810.00%2535618.74123631000037000.00%0229000.3400002011
14Philippe MyersThugs (BOS)D20044-7001623231780.00%1939119.59000132000047000.00%0314000.2000000000
15Samuel BolducThugs (BOS)D20033-920151712750.00%1330515.25000060000110025.00%447000.2000000000
16Nicolas DeslauriersThugs (BOS)LW11112-101952211821112.50%418817.120000140000260058.33%1244000.2100001000
17Nicolas MelocheThugs (BOS)D200111004124230.00%1328314.2000004000019000.00%0011000.0700000000
18Maxence GuenetteThugs (BOS)D5000000000010.00%1377.520000000002000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne28074117191-321583033732366321237211.16%187509418.191724417634300084519450.65%1149149203030.75002041098
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
1Cayden PrimeauThugs (BOS)138400.8943.417220041387190200.0000130010
2Kevin PoulinThugs (BOS)60510.8325.20358203118599000.000062000
Stats d'équipe Total ou en Moyenne198910.8744.0010802072572289200.0000192010


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
Alexandre FortinThugs (BOS)LW251997-10-12Yes172 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Anthony BeauvillierThugs (BOS)RW261997-06-08No180 Lbs5 ft11NoNoNo5Avec RestrictionPro & Farm2,500,000$0$0$No
Anthony ManthaThugs (BOS)RW291994-09-16No234 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm5,700,000$0$0$No
Antoine BibeauThugs (BOS)G291994-05-01No213 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,000,000$0$0$No
Ben JonesThugs (BOS)C241999-02-26Yes187 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Brendan GallagherThugs (BOS)RW311992-05-06No186 Lbs5 ft9NoYesNo1Sans RestrictionPro & Farm4,500,000$0$0$No
Cayden PrimeauThugs (BOS)G241999-08-11Yes199 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Cory SchneiderThugs (BOS)G371986-03-18No210 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm5,000,000$0$0$No
Jesse PuljujarviThugs (BOS)RW251998-05-07No201 Lbs6 ft4NoYesNo5Avec RestrictionPro & Farm800,000$0$0$No
Joe VelenoThugs (BOS)C232000-01-13No203 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,250,000$0$0$No
Kevin PoulinThugs (BOS)G311991-10-12No199 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Kole LindThugs (BOS)RW241998-10-16Yes178 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Logan BrownThugs (BOS)C251998-03-05Yes218 Lbs6 ft6NoYesNo5Avec RestrictionPro & Farm800,000$0$0$No
Max ComtoisThugs (BOS)LW241999-01-08No210 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm1,500,000$0$0$No
Maxence GuenetteThugs (BOS)D222001-04-28Yes181 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Maxime LajoieThugs (BOS)D251997-11-05No196 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Michael AmadioThugs (BOS)C271996-05-13Yes204 Lbs6 ft1NoYesNo2Avec RestrictionPro & Farm750,000$0$0$No
Nick FolignoThugs (BOS)LW351987-10-31No210 Lbs6 ft0NoNoNo5Sans RestrictionPro & Farm2,000,000$0$0$No
Nicolas DeslauriersThugs (BOS)LW321991-02-22No220 Lbs6 ft1NoYesNo2Sans RestrictionPro & Farm1,000,000$0$0$No
Nicolas MelocheThugs (BOS)D261997-07-18No211 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$0$0$No
Philippe MyersThugs (BOS)D261997-01-25No219 Lbs6 ft6NoYesNo1Avec RestrictionPro & Farm2,500,000$0$0$No
Pierre-Olivier JosephThugs (BOS)D241999-07-01Yes185 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm1,500,000$0$0$No
Samuel BolducThugs (BOS)D222000-12-09Yes220 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm850,000$0$0$No
Samuel PoulinThugs (BOS)LW222001-02-25Yes208 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm800,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2426.58202 Lbs6 ft23.131,645,833$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicolas DeslauriersMichael AmadioJesse Puljujarvi35122
2Logan BrownBrendan Gallagher30122
325122
4Nicolas DeslauriersMichael AmadioJesse Puljujarvi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philippe MyersSamuel Bolduc35122
2Nicolas MelocheMaxime Lajoie30122
325122
4Philippe MyersSamuel Bolduc10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nicolas DeslauriersMichael AmadioJesse Puljujarvi55122
2Logan BrownBrendan Gallagher45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philippe MyersSamuel Bolduc55122
2Nicolas MelocheMaxime Lajoie45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael AmadioNicolas Deslauriers55122
2Jesse PuljujarviBrendan Gallagher45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philippe MyersSamuel Bolduc55122
2Nicolas MelocheMaxime Lajoie45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Amadio55122Philippe MyersSamuel Bolduc55122
2Nicolas Deslauriers45122Nicolas MelocheMaxime Lajoie45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael AmadioNicolas Deslauriers55122
2Jesse PuljujarviBrendan Gallagher45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Philippe MyersSamuel Bolduc55122
2Nicolas MelocheMaxime Lajoie45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersMichael AmadioJesse PuljujarviPhilippe MyersSamuel Bolduc
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersMichael AmadioJesse PuljujarviPhilippe MyersSamuel Bolduc
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Brown, Brendan Gallagher, Jesse PuljujarviLogan Brown, Brendan GallagherJesse Puljujarvi
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicolas Meloche, Maxime Lajoie, Philippe MyersNicolas MelocheMaxime Lajoie, Philippe Myers
Tirs de Pénalité
Michael Amadio, Nicolas Deslauriers, Jesse Puljujarvi, Brendan Gallagher, Logan Brown
Gardien
#1 : Cayden Primeau, #2 :


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
1Barracudas11000000422000000000001100000042221.000471100164321131192268240621612114250.00%60100.00%023743754.23%20242747.31%17334450.29%393217446179363178
2Chiwawa210010001266100010004311100000083541.00012193100164321174192268240681192448300.00%11372.73%023743754.23%20242747.31%17334450.29%393217446179363178
3Raptors1010000015-41010000015-40000000000000.0001230016432113319226824064113226100.00%10100.00%023743754.23%20242747.31%17334450.29%393217446179363178
4Rockets11000000321110000003210000000000021.00035800164321128192268240624136232150.00%30100.00%023743754.23%20242747.31%17334450.29%393217446179363178
5Saguenéens31200000990211000007611010000023-120.333916250016432111131922682406932428676233.33%90100.00%023743754.23%20242747.31%17334450.29%393217446179363178
6Scorpions312000001415-121100000101001010000045-120.33314223600164321110819226824061133820648337.50%10370.00%023743754.23%20242747.31%17334450.29%393217446179363178
7Snowbirds20200000915-61010000045-110100000510-500.00091524001643211621922682406552014354375.00%7528.57%023743754.23%20242747.31%17334450.29%393217446179363178
8Spartans210001009631000010045-11100000051430.75091221001643211691922682406481725356116.67%60100.00%023743754.23%20242747.31%17334450.29%393217446179363178
9Supreme20200000513-81010000017-61010000046-200.0005712001643211671922682406832422278112.50%11372.73%023743754.23%20242747.31%17334450.29%393217446179363178
Total20810011008185-41035011003443-910550000047425190.475811332140016432117061922682406649210192388561730.36%761678.95%023743754.23%20242747.31%17334450.29%393217446179363178
11Twins11000000725000000000001100000072521.000712190016432113319226824062562385240.00%40100.00%023743754.23%20242747.31%17334450.29%393217446179363178
12Warriors11000000431000000000001100000043121.0004812001643211461922682406322110235240.00%50100.00%023743754.23%20242747.31%17334450.29%393217446179363178
13Xpress1010000047-3000000000001010000047-300.0004812001643211421922682406339621400.00%3233.33%023743754.23%20242747.31%17334450.29%393217446179363178
_Since Last GM Reset20810011008185-41035011003443-910550000047425190.475811332140016432117061922682406649210192388561730.36%761678.95%023743754.23%20242747.31%17334450.29%393217446179363178
_Vs Conference1769011007073-3925011003141-108440000039327150.441701121820016432115901922682406560167170321451431.11%651478.46%023743754.23%20242747.31%17334450.29%393217446179363178
_Vs Division1549011005969-10925011003141-106240000028280110.36759931520016432115261922682406514155135302361027.78%551474.55%023743754.23%20242747.31%17334450.29%393217446179363178

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2019W18113321470664921019238800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2081011008185
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103511003443
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
105500004742
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
561730.36%761678.95%0
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
19226824061643211
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
23743754.23%20242747.31%17334450.29%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
393217446179363178


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 - 2024-04-069Chiwawa3Thugs4WXSommaire du Match
2 - 2024-04-0721Thugs8Chiwawa3WSommaire du Match
4 - 2024-04-0934Thugs2Saguenéens3LSommaire du Match
6 - 2024-04-1155Spartans5Thugs4LXSommaire du Match
7 - 2024-04-1263Thugs4Supreme6LSommaire du Match
9 - 2024-04-1483Snowbirds5Thugs4LSommaire du Match
10 - 2024-04-1595Thugs4Xpress7LSommaire du Match
11 - 2024-04-16106Thugs4Scorpions5LSommaire du Match
12 - 2024-04-17120Scorpions6Thugs8WSommaire du Match
14 - 2024-04-19145Saguenéens3Thugs5WSommaire du Match
16 - 2024-04-21163Raptors5Thugs1LSommaire du Match
18 - 2024-04-23187Rockets2Thugs3WSommaire du Match
19 - 2024-04-24193Thugs5Snowbirds10LSommaire du Match
21 - 2024-04-26218Supreme7Thugs1LSommaire du Match
22 - 2024-04-27228Thugs5Spartans1WSommaire du Match
23 - 2024-04-28242Thugs4Warriors3WSommaire du Match
24 - 2024-04-29257Scorpions4Thugs2LSommaire du Match
26 - 2024-05-01275Thugs4Barracudas2WSommaire du Match
27 - 2024-05-02287Saguenéens3Thugs2LSommaire du Match
29 - 2024-05-04301Thugs7Twins2WSommaire du Match
30 - 2024-05-05320Predateurs-Thugs-
32 - 2024-05-07336Thugs-Rockets-
34 - 2024-05-09353Bandits-Thugs-
35 - 2024-05-10369Thugs-Marmots-
36 - 2024-05-11381Warriors-Thugs-
38 - 2024-05-13400Thugs-Vandals-
39 - 2024-05-14412Thugs-Predateurs-
40 - 2024-05-15427Xpress-Thugs-
42 - 2024-05-17443Thugs-Spartans-
43 - 2024-05-18459Spartans-Thugs-
44 - 2024-05-19472Thugs-Goons-
46 - 2024-05-21488Raptors-Thugs-
47 - 2024-05-22504Thugs-Scorpions-
48 - 2024-05-23518Igloos-Thugs-
50 - 2024-05-25535Farmers-Thugs-
52 - 2024-05-27553Thugs-Marlies-
53 - 2024-05-28567Thugs-Farmers-
54 - 2024-05-29580Thugs-Smirnoff Ice-
55 - 2024-05-30589Husky-Thugs-
58 - 2024-06-02611Vandals-Thugs-
59 - 2024-06-03630Rockets-Thugs-
61 - 2024-06-05649Thugs-Hunters-
62 - 2024-06-06659Thugs-Chiwawa-
63 - 2024-06-07674Goons-Thugs-
65 - 2024-06-09689Thugs-Supreme-
66 - 2024-06-10703CoolFm-Thugs-
68 - 2024-06-12723Chiwawa-Thugs-
69 - 2024-06-13738Thugs-Bandits-
70 - 2024-06-14755Smirnoff Ice-Thugs-
72 - 2024-06-16770Thugs-Husky-
73 - 2024-06-17784Marmots-Thugs-
74 - 2024-06-18803Thugs-Grizzlies-
75 - 2024-06-19816Grizzlies-Thugs-
77 - 2024-06-21835Thugs-Bayou-
78 - 2024-06-22847Bayou-Thugs-
79 - 2024-06-23860Thugs-CoolFm-
81 - 2024-06-25879Hunters-Thugs-
83 - 2024-06-27897Thugs-Vipers-
84 - 2024-06-28908Supreme-Thugs-
85 - 2024-06-29921Thugs-Raptors-
87 - 2024-07-01934Thugs-TigersCats-
88 - 2024-07-02951Twins-Thugs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04970Thugs-Xpress-
91 - 2024-07-05984TigersCats-Thugs-
92 - 2024-07-06996Thugs-Outlaws-
94 - 2024-07-081016Barracudas-Thugs-
95 - 2024-07-091031Thugs-Igloos-
97 - 2024-07-111044Thugs-Raptors-
98 - 2024-07-121053Snowbirds-Thugs-
100 - 2024-07-141071Thugs-Snowbirds-
101 - 2024-07-151082Outlaws-Thugs-
104 - 2024-07-181108Wolves-Thugs-
105 - 2024-07-191118Thugs-Wolves-
107 - 2024-07-211141Marlies-Thugs-
110 - 2024-07-241155Vipers-Thugs-
112 - 2024-07-261173Thugs-Saguenéens-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets2515
Assistance20,0009,965
Assistance PCT100.00%99.65%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 2997 - 99.88% 77,937$779,370$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,619,484$ 3,950,000$ 3,950,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,106,213$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,182,236$ 84 52,655$ 4,423,020$




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
4582214505830222301-794192502320109156-4741122003510113145-32662223996211439769910191245264878736217465558210752234921.97%2295675.55%5639133747.79%681140948.33%552126143.77%1975137118016241185573
46824425043333612966541251102210177135424119140212318416123108361596957317613014892675756946954392437800117312082728731.99%3197875.55%9934170654.75%857165851.69%680134450.60%1706104219526751303645
4720810011008185-41035011003443-91055000004742519811332140016432117061922682406649210192388561730.36%761678.95%023743754.23%20242747.31%17334450.29%393217446179363178
Total Saison Régulière18473800101263664682-1892374105630320334-1492363905633344348-4193664112817924513124926820529314001862198181526016651947267155115327.77%62415075.96%141810348052.01%1740349449.80%1405294947.64%407526314200147828521397