Association Québécoise de Hockey Simulé - Thugs 

Thugs

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 22 | GA: 20 | PP%: 8.33% | PK%: 78.95%
DG: Jean-Philippe Chartier | Morale : 90 | Moyenne d'Équipe : 61
Prochain matchs #83 vs Snowbirds
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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
1Anthony BeauvillierX100.00674587875481996530626858728578090680
2Nick FolignoX100.00995475817162726330626467699584090670
3Anthony ManthaX100.00695482789371816230606356708879090660
4Joe VelenoX100.00894585796964985573515963678373090650
5Michael Amadio (R)X100.0065459082706181623053706268867509064X0
6Nicolas DeslauriersX100.0099874975785197513046566765927909063X0
7Max ComtoisX100.00755763797569775730536255698475090630
8Brendan GallagherX100.0056486284537145613053685868908109062X0
9Jesse PuljujarviX100.0088518379746191543052555666847309062X0
10Logan Brown (R)X100.0062458876875240536551555966857209060X0
11Alexandre CarrierX100.00764878834675525530535684668678090670
12Pierre-Olivier Joseph (R)X100.00724579845764915830575872678372090670
13Vincent DesharnaisX100.00744871768056435130515087658674090660
14Philippe MyersX100.0081459076825040523048566866867409064X0
15Samuel Bolduc (R)X100.00754592767960405330446259668270090610
16Nicolas MelocheX100.00504595747250404530405055508673090570
17Maxime LajoieX100.00504595766150404530405055508572090560
Rayé
1Samuel Poulin (R)X100.00504592747250404730445055508269090540
2Kole Lind (R)X100.00504595795750404530405055508572090530
3Ben Jones (R)X100.00504595776050404530405055508471090530
4Alexandre Fortin (R)X100.00504595795250404530405055508673090520
5Maxence Guenette (R)X100.00504595785350404530405059508168090560
MOYENNE D'ÉQUIPE100.0068498379685960533449576262867409061
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)100.0070506088707070707070708371090620
2Kevin Poulin100.0070404087656565656565658782090590
Rayé
1Cory Schneider100.0070404090656565656565659582090590
2Antoine Bibeau100.0070404091656565656565658572090580
MOYENNE D'ÉQUIPE100.007043458966666666666666887709060
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
1Anthony ManthaThugs (BOS)RW544812010925101616.00%211222.58000070001100030.77%1372011.4200000100
2Michael AmadioThugs (BOS)C534720075225913.64%18116.3710138000001025.53%4786001.7100000010
3Joe VelenoThugs (BOS)C524640097132515.38%011022.00000070000110062.60%13123001.0900000000
4Nick FolignoThugs (BOS)LW5246020124235188.70%010821.74011280000150057.14%735001.1000000000
5Brendan GallagherThugs (BOS)RW522412065161312.50%25711.4300001000020040.00%531001.4000000010
6Anthony BeauvillierThugs (BOS)RW5134-120119286183.57%212324.73000180000150026.47%6887000.6500000000
7Maxime LajoieThugs (BOS)D5044500142200.00%25611.290000000004000.00%002001.4200000001
8Pierre-Olivier JosephThugs (BOS)D31230403484212.50%16622.070001800006000.00%013000.9100000000
9Max ComtoisThugs (BOS)LW5303200991561020.00%27715.560000300002100.00%233000.7700000200
10Alexandre CarrierThugs (BOS)D50223115756010.00%611422.98000110000013000.00%0010000.3500100000
11Jesse PuljujarviThugs (BOS)RW21121403341825.00%02613.0800000000000033.33%311001.5300000000
12Logan BrownThugs (BOS)C51122006741225.00%16913.9300000000010151.85%5414000.5700000000
13Samuel BolducThugs (BOS)D5011-400255210.00%48016.0900002000070050.00%211000.2500000000
14Vincent DesharnaisThugs (BOS)D5011280963300.00%49619.3300019000011000.00%006000.2100000000
15Nicolas MelocheThugs (BOS)D5000500240100.00%36412.910000000003000.00%006000.0000000000
16Maxence GuenetteThugs (BOS)D5000000000010.00%1377.520000000002000.00%001000.0000000000
17Philippe MyersThugs (BOS)D5000-100378320.00%79619.2300009000012000.00%004000.0000000000
Stats d'équipe Total ou en Moyenne802033532235510093182529610.99%38138017.2611298700011212145.78%3323865010.7700100321
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)22000.9262.931230068144000.000020010
2Kevin PoulinThugs (BOS)30210.8434.6917920148942000.000032000
Stats d'équipe Total ou en Moyenne52210.8823.97302202017086000.000052010


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 CarrierThugs (BOS)D261996-10-08No174 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm3,330,000$0$0$No
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
Vincent DesharnaisThugs (BOS)D271996-05-29No215 Lbs6 ft6NoNoNo4Avec RestrictionPro & Farm1,000,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2626.58201 Lbs6 ft23.081,685,769$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony BeauvillierJoe VelenoAnthony Mantha35122
2Nick FolignoMichael Amadio30122
3Max ComtoisLogan BrownBrendan Gallagher25122
4Nick FolignoAnthony BeauvillierAnthony Mantha10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre CarrierPierre-Olivier Joseph35122
2Vincent DesharnaisPhilippe Myers30122
3Samuel BolducNicolas Meloche25122
4Maxime Lajoie10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anthony BeauvillierJoe VelenoAnthony Mantha55122
2Nick FolignoMichael Amadio45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre CarrierPierre-Olivier Joseph55122
2Vincent DesharnaisPhilippe Myers45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anthony BeauvillierNick Foligno55122
2Anthony ManthaJoe Veleno45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre CarrierPierre-Olivier Joseph55122
2Vincent DesharnaisPhilippe Myers45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anthony Beauvillier55122Alexandre CarrierPierre-Olivier Joseph55122
2Nick Foligno45122Vincent DesharnaisPhilippe Myers45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anthony BeauvillierNick Foligno55122
2Anthony ManthaJoe Veleno45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alexandre CarrierPierre-Olivier Joseph55122
2Vincent DesharnaisPhilippe Myers45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony BeauvillierJoe VelenoAnthony ManthaAlexandre CarrierPierre-Olivier Joseph
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anthony BeauvillierJoe VelenoAnthony ManthaAlexandre CarrierPierre-Olivier Joseph
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Max Comtois, Brendan Gallagher, Logan BrownMax Comtois, Brendan GallagherLogan Brown
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Samuel Bolduc, Nicolas Meloche, Maxime LajoieSamuel BolducNicolas Meloche, Maxime Lajoie
Tirs de Pénalité
Anthony Beauvillier, Nick Foligno, Anthony Mantha, Joe Veleno, Michael Amadio
Gardien
#1 : Kevin Poulin, #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
1Chiwawa210010001266100010004311100000083541.00012193100687174655460681192448300.00%11372.73%06311853.39%4111435.96%489351.61%10457100479847
2Saguenéens1010000023-1000000000001010000023-100.0002460068713265546062211927200.00%20100.00%06311853.39%4111435.96%489351.61%10457100479847
3Spartans1000010045-11000010045-10000000000010.5004590068714065546062354223133.33%20100.00%06311853.39%4111435.96%489351.61%10457100479847
4Supreme1010000046-2000000000001010000046-200.0004610006871396554606448812400.00%4175.00%06311853.39%4111435.96%489351.61%10457100479847
Total512011002220220001100880312000001412250.500223456006871185655460617043451091218.33%19478.95%06311853.39%4111435.96%489351.61%10457100479847
_Since Last GM Reset512011002220220001100880312000001412250.500223456006871185655460617043451091218.33%19478.95%06311853.39%4111435.96%489351.61%10457100479847
_Vs Conference512011002220220001100880312000001412250.500223456006871185655460617043451091218.33%19478.95%06311853.39%4111435.96%489351.61%10457100479847
_Vs Division512011002220220001100880312000001412250.500223456006871185655460617043451091218.33%19478.95%06311853.39%4111435.96%489351.61%10457100479847

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55L1223456185170434510900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51211002220
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
200110088
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31200001412
Derniers 10 Matchs
WLOTWOTL SOWSOL
121100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1218.33%19478.95%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
65546066871
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
6311853.39%4111435.96%489351.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10457100479847


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 - 2024-04-1483Snowbirds-Thugs-
10 - 2024-04-1595Thugs-Xpress-
11 - 2024-04-16106Thugs-Scorpions-
12 - 2024-04-17120Scorpions-Thugs-
14 - 2024-04-19145Saguenéens-Thugs-
16 - 2024-04-21163Raptors-Thugs-
18 - 2024-04-23187Rockets-Thugs-
19 - 2024-04-24193Thugs-Snowbirds-
21 - 2024-04-26218Supreme-Thugs-
22 - 2024-04-27228Thugs-Spartans-
23 - 2024-04-28242Thugs-Warriors-
24 - 2024-04-29257Scorpions-Thugs-
26 - 2024-05-01275Thugs-Barracudas-
27 - 2024-05-02287Saguenéens-Thugs-
29 - 2024-05-04301Thugs-Twins-
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
Assistance4,0002,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
36 3000 - 100.00% 78,000$156,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
440,921$ 4,383,000$ 4,383,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 299,329$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,808,000$ 105 56,487$ 5,931,135$




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
4751201100222022000110088031200000141225223456006871185655460617043451091218.33%19478.95%06311853.39%4111435.96%489351.61%10457100479847
Total Saison Régulière16966720101263605617-1284343605630294299-585323605633311318-7179605102916344512121425420477212731648180181478114981800239250713727.02%56713875.66%141636316151.76%1579318149.64%1280269847.44%378624713854134725871266