Please rotate your device to landscape mode for a better experience.
Connexion

Bandits
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Guillaume Blais-Lortie | Morale : 90 | Moyenne d’équipe : 60
Prochains matchs #13 vs Snowbirds

Bandits
0-0-0, 0pts
Jour 1
Snowbirds
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Bandits
0-0-0, 0pts
Jour 2
Predateurs
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Twins
0-0-0, 0pts
Jour 3
Bandits
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGuillaume Blais-Lortie
EntraîneurDan Bylsma
DivisionDivision Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 50
Espoirs19


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0 - 4 (0.000%)
Coupe Stanley0


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 SPÂgeContratSalaire
1Filip ChytilX100.005345868273756864775969586985770906602632,000,000$
2Logan O'ConnorX100.006551868352719756305160776788790906402951,500,000$
3Nils HoglanderX100.007045848451618759305959656884730906202452,000,000$
4Sam Colangelo (R)X100.00944593807562406030457655688372090620233925,000$
5Joey AndersonX100.00594595756862404730445090508675090600271800,000$
6Alexander HoltzX100.006245907963586454305256556783720905802351,000,000$
7Carter Mazur (R)X100.00504595804999404530405060508385090560236905,000$
8Jeffrey Viel (R)X100.00595176757150404530405061508875090540285875,000$
9Dylan Duke (R)X100.00514595794950404730405455508269090520226867,500$
10Tristen Robins (R)X100.00504595796050404530405055508172090520231800,000$
11Jordan SpenceX100.006945898647709561306556726884750906802441,250,000$
12Timothy LiljegrenX100.006745808162808257305361676785780906702622,300,000$
13Sam Malinski (R)X100.00634589815266925430515880668676090670272900,000$
14Sean WalkerX100.00714580815370995430515874679081090670301750,000$
15Tyler Kleven (R)X100.00764886758060955130465669658371090660231875,000$
16Declan Chisholm (R)X100.005745918056718053305254656685760906402541,000,000$
17Josh MahuraX100.007845867956577751305250726586740906402711,250,000$
18Kevin Korchinski (R)X100.005045847954714050304456696580710906002131,200,000$
19Alex PetrovicX100.00574590747559404530405055509381090590333975,000$
Rayé
1Jack StudnickaX100.00504588776150404570405055508573090540261800,000$
2Nikita Chibrikov (R)X100.00564595824557405130445855658270090540223925,000$
3Nathan Legare (R)X100.00594595766453404530405056508472090530246800,000$
4Alex FormentonX100.005045957660504045304050555084710905202651,010,000$
5Ronald Attard (R)X100.00504587757050404530405055508574090570264950,000$
6Riley StillmanX100.005448857567504045304050555087740905702711,000,000$
7Nikita Okhotyuk (R)X100.00504570796050404530405055508373090560244850,000$
8Ben Gleason (R)X100.00504595786050404530405055508572090560261800,000$
MOYENNE D’ÉQUIPE100.0060468879606158513346556359857409060
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 SPÂgeContratSalaire
1Drew Commesso (R)100.0070506082707070707070708269090610236925,000$
2Zach Fucale100.0070404084656565656565658674090580302800,000$
Rayé
MOYENNE D’ÉQUIPE100.007045508368686868686868847209060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma81768493897662USA5532,000,000$


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’équipePOSGP 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
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


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex FormentonBandits (OTT)LW261999-09-13CANNo195 Lbs6 ft3NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm1,010,000$1,010,000$0$0$No1,010,000$1,010,000$1,010,000$1,010,000$-----1,010,000$1,010,000$1,010,000$1,010,000$-----NoNoNoNo-----
Alex PetrovicBandits (OTT)D331992-03-03CANNo208 Lbs6 ft5NoNoN/ANoNo32025-09-11FalseFalsePro & Farm975,000$975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Alexander HoltzBandits (OTT)RW232002-01-23SWENo195 Lbs6 ft0NoNoN/ANoNo52025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$-----1,000,000$1,000,000$1,000,000$1,000,000$-----NoNoNoNo-----Lien NHL
Ben GleasonBandits (OTT)D261998-10-12USAYes180 Lbs6 ft1NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Carter MazurBandits (OTT)LW232002-03-28USAYes170 Lbs6 ft0NoNoProspectNoNo62025-10-07FalseFalsePro & Farm905,000$905,000$0$0$No905,000$905,000$905,000$905,000$905,000$----905,000$905,000$905,000$905,000$905,000$----NoNoNoNoNo----Lien NHL
Declan ChisholmBandits (OTT)D252000-01-12CANYes190 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien NHL
Drew CommessoBandits (OTT)G232002-07-19USAYes180 Lbs6 ft2NoNoProspectNoNo62025-10-07FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$925,000$925,000$----925,000$925,000$925,000$925,000$925,000$----NoNoNoNoNo----Lien NHL
Dylan DukeBandits (OTT)LW222003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo62025-10-07FalseFalsePro & Farm867,500$867,500$0$0$No867,500$867,500$867,500$867,500$867,500$----867,500$867,500$867,500$867,500$867,500$----NoNoNoNoNo----Lien NHL
Filip ChytilBandits (OTT)C261999-09-05CZENo208 Lbs6 ft2NoNoTrade2025-07-12NoNo32025-09-11FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien NHL
Jack StudnickaBandits (OTT)RW261999-02-18CANNo187 Lbs6 ft1NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Jeffrey VielBandits (OTT)LW281997-01-28CANYes205 Lbs6 ft2NoNoN/ANoNo52025-09-11FalseFalsePro & Farm875,000$875,000$0$0$No875,000$875,000$875,000$875,000$-----875,000$875,000$875,000$875,000$-----NoNoNoNo-----Lien NHL
Joey AndersonBandits (OTT)RW271998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Jordan SpenceBandits (OTT)D242001-02-24AUSNo180 Lbs5 ft11NoNoN/ANoNo42025-09-11FalseFalsePro & Farm1,250,000$1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Lien NHL
Josh MahuraBandits (OTT)D271998-05-05CANNo193 Lbs6 ft0NoNoN/ANoNo12025-09-11FalseFalsePro & Farm1,250,000$1,250,000$0$0$No---------------------------Lien NHL
Kevin KorchinskiBandits (OTT)D212004-06-21CANYes185 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien NHL
Logan O'ConnorBandits (OTT)RW291996-08-14USANo175 Lbs6 ft0NoNoN/ANoNo52025-09-11FalseFalsePro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$-----1,500,000$1,500,000$1,500,000$1,500,000$-----NoNoNoNo-----Lien NHL
Nathan LegareBandits (OTT)RW242001-01-11CANYes200 Lbs6 ft0NoNoProspectNoNo62025-10-07FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$----800,000$800,000$800,000$800,000$800,000$----NoNoNoNoNo----Lien NHL
Nikita ChibrikovBandits (OTT)RW222003-02-16RUSYes170 Lbs5 ft10NoNoN/ANoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Nikita OkhotyukBandits (OTT)D242000-12-04RUSYes195 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------
Nils HoglanderBandits (OTT)RW242000-12-20SWENo185 Lbs5 ft9NoNoN/ANoNo52025-09-11FalseFalsePro & Farm2,000,000$2,000,000$0$0$No2,000,000$2,000,000$2,000,000$2,000,000$-----2,000,000$2,000,000$2,000,000$2,000,000$-----NoNoNoNo-----Lien NHL
Riley StillmanBandits (OTT)D271998-03-09CANNo196 Lbs6 ft1NoNoN/ANoNo12025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien NHL
Ronald AttardBandits (OTT)D261999-03-20USAYes208 Lbs6 ft3NoNoN/ANoNo42025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$950,000$------950,000$950,000$950,000$------NoNoNo------
Sam ColangeloBandits (OTT)RW232001-12-26USAYes205 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Sam MalinskiBandits (OTT)D271998-07-27USAYes190 Lbs5 ft11NoNoN/ANoNo22025-09-11FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien NHL
Sean WalkerBandits (OTT)D301994-11-13CANNo191 Lbs5 ft11NoNoN/ANoNo12025-09-11FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------Lien NHL
Timothy LiljegrenBandits (OTT)D261999-04-30SWENo190 Lbs6 ft1NoNoN/ANoNo22025-09-11FalseFalsePro & Farm2,300,000$2,300,000$0$0$No2,300,000$--------2,300,000$--------No--------Lien NHL
Tristen RobinsBandits (OTT)C232001-11-15GBRYes176 Lbs5 ft10NoNoN/ANoNo12025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No---------------------------Lien NHL
Tyler KlevenBandits (OTT)D232002-01-10USAYes200 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------Lien NHL
Zach FucaleBandits (OTT)G301995-05-28CANNo189 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No800,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.45191 Lbs6 ft13.241,070,086$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Filip ChytilNils Hoglander30122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Spence35122
2Sam MalinskiKevin Korchinski30122
3Josh Mahura25122
4Declan Chisholm10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Filip ChytilNils Hoglander45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Spence55122
2Sam MalinskiKevin Korchinski45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
2Nils Hoglander45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Spence55122
2Sam MalinskiKevin Korchinski45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
155122Jordan Spence55122
245122Sam MalinskiKevin Korchinski45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
2Nils Hoglander45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Spence55122
2Sam MalinskiKevin Korchinski45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Filip Chytil, Filip Chytil
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Josh Mahura, Declan ChisholmJosh Mahura, Declan Chisholm
Tirs de pénalité
, , , Nils Hoglander,
Gardien
#1 : , #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
TotalDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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
113Bandits-Snowbirds-
220Bandits-Predateurs-
333Twins-Bandits-
553Supreme-Bandits-
669Bandits-Chiwawa-
780Bandits-Outlaws-
890Vipers-Bandits-
9107Bandits-Raptors-
11118Spartans-Bandits-
12143Twins-Bandits-
14162Barracudas-Bandits-
15171Bandits-Thugs-
17199Scorpions-Bandits-
18208Bandits-CoolFm-
19228Igloos-Bandits-
20237Bandits-Wolves-
22259Thugs-Bandits-
23271Bandits-Supreme-
24282Bandits-Warriors-
25300Bandits-Smirnoff Ice-
26308Snowbirds-Bandits-
27328Twins-Bandits-
28345Predateurs-Bandits-
29361Bandits-Wolves-
31378Barracudas-Bandits-
32390Bandits-CoolFm-
34411Marlies-Bandits-
35422Bandits-Rockets-
36441Marmots-Bandits-
37449Bandits-Twins-
39473Bandits-Goons-
40481Farmers-Bandits-
41500Bandits-Raptors-
42506Bandits-Spartans-
43521Bandits-Snowbirds-
44535Smirnoff Ice-Bandits-
45549Bandits-Farmers-
46564Supreme-Bandits-
47584Sags-Bandits-
48604Rockets-Bandits-
50624Bandits-Grizzlies-
51635Bandits-TigersCats-
52645Scorpions-Bandits-
53668Bandits-Marmots-
54676Vipers-Bandits-
55697Outlaws-Bandits-
57715Bandits-Sags-
58727Bandits-Thugs-
59742Goons-Bandits-
60758Bandits-Outlaws-
61773Goons-Bandits-
62789Bandits-Barracudas-
63800Husky-Bandits-
65825Hunters-Bandits-
66838Bandits-Supreme-
68853Bandits-Husky-
69862TigersCats-Bandits-
70883CoolFm-Bandits-
71896Bandits-Marlies-
73914Bandits-Vandals-
74923Warriors-Bandits-
76942Bandits-Igloos-
77956Raptors-Bandits-
78978Chiwawa-Bandits-
79991Bandits-Sags-
811006Bandits-Predateurs-
821019Grizzlies-Bandits-
831033Bandits-Scorpions-
841051Wolves-Bandits-
851063Bandits-Bayou-
871077Bandits-Xpress-
881085Spartans-Bandits-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
891105Bandits-Hunters-
901113Raptors-Bandits-
911126Bandits-Chiwawa-
931145Bayou-Bandits-
941158Bandits-Scorpions-
961175Vandals-Bandits-
971181Bandits-Vipers-
991208Xpress-Bandits-
1021232Vandals-Bandits-
1071262Bayou-Bandits-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,103,250$ 3,103,250$ 2,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 108 47,252$ 5,103,216$




Bandits Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bandits Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Bandits Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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
Total Saison régulière0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Séries éliminatoires
48404000001226-1420200000413-920200000813-50122234002550135235953016857396816212.50%12466.67%04610344.66%498955.06%316944.93%7135102326736
Total Séries éliminatoires404000001226-1420200000413-920200000813-50122234002550135235953016857396816212.50%12466.67%04610344.66%498955.06%316944.93%7135102326736

Bandits Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Conor Garland433609562015.00%28721.92011200000047.06%01.3700
2Kirill Marchenko4156-20115195.26%09122.93112600000044.44%01.3100
3Tristen Robins4325-1028837.50%27719.48011100000050.00%01.2800
4Nils Hoglander4213-42841811.11%57919.90000000000062.50%00.7500
5Nikita Okhotyuk4033-21210390%119924.8100020000000%00.6000

Bandits Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Mikko Koskinen20010.9292.734400228150000
2Darcy Kuemper40300.8297.351960024140730000