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Connexion

Sags
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Nicolas Gagnon | Morale : 90 | Moyenne d’équipe : 57
Prochains matchs #12 vs Hunters

Hunters
0-0-0, 0pts
Jour 1
Sags
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%
Sags
0-0-0, 0pts
Jour 2
Rockets
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%
Sags
0-0-0, 0pts
Jour 3
CoolFm
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 généralNicolas Gagnon
EntraîneurLane Lambert
DivisionDivision Est
ConférenceConference 2
CapitaineCurtis Lazar
Assistant #1Anthony Duclair
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison3,000


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 50
Espoirs98


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique0-0-0
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Jonny BrodzinskiX100.00574593807058626078516966689180090640322950,000$
2Justin Brazeau (R)X100.008345897690599257305262566787760906302721,025,000$
3Craig SmithX100.00674579806857715830536361689583090610363950,000$
4Curtis Lazar (C)X100.00974587766653584981455364509078090610301950,000$
5Anthony Duclair (A)X100.005945898064755355304763556889810906003012,250,000$
6Landon SlaggertX100.00634876805462405230505577668271090590233925,000$
7Juha Jaaska (R)X100.006848837769504053305650576687740905702751,550,000$
8Kailer YamamotoX100.005645928147614051304458576586750905502711,800,000$
9Evander KaneX100.005045658378504045304050555092860905403453,000,000$
10Ryan Greene (R)X100.00504595795366404530405064508171090540216950,000$
11Tanner Laczynski (R)X100.00504587756950404730405455508774090530285775,000$
12Nick BlankenburgX100.00664584854281725730565889678680090680272950,000$
13Daniil MiromanovX100.00554588797174535430535674668779090650284900,000$
14Adam BoqvistX100.005445878655594264306364556984720906302512,500,000$
15Torey KrugX100.005045848951504045304050555093890905803432,250,000$
16Matt KierstedX100.005045927850534047304450625087750905702731,600,000$
17Cole McWard (R)X100.00504595775850404530405055508269090550241775,000$
Rayé
1Brendan BrissonX100.00564595766350404530405055508370090530233925,000$
2Ben MeyersX100.00564592775950404530405057508673090530263925,000$
3Samuel LabergeX100.00504595757250404530405055508774090530283800,000$
4Rocco GrimaldiX100.00504595786050404530405055509077090530324775,000$
5James Malatesta (R)X100.005245957755534045304050555081690905202221,025,000$
6Matthew Phillips (R)X100.00504595824050404530405055508673090520275775,000$
7Gabriel LandeskogX100.00504595746050404530405055509178090520323900,000$
8Alexander ChmelevskiX100.00504595776050404530405055508471090520265775,000$
9Nathan Smith (R)X100.00504595796050404530405055508471090520264800,000$
10Conor ShearyX100.00504590784757404530405055509280090520331500,000$
MOYENNE D’ÉQUIPE100.0057458979605647493445546056877609057
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
1Clay Stevenson (R)100.0070506087707070707070708572090620266900,000$
2Kevin Mandolese (R)100.0070404083656565656565658270090570251775,000$
Rayé
1Josef Korenar (R)100.0070404083656565656565658471090570275775,000$
MOYENNE D’ÉQUIPE100.007043478467676767676767847109059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert65656565947352CAN6151,000,000$


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
Adam BoqvistSags (CHI)D252000-08-15SWENo189 Lbs6 ft0NoNoTrade2025-01-09NoNo12025-09-11FalseFalsePro & Farm2,500,000$2,500,000$0$0$No---------------------------Lien NHL
Alexander ChmelevskiSags (CHI)RW261999-06-09USANo188 Lbs6 ft0NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Anthony DuclairSags (CHI)LW301995-08-26CANNo197 Lbs5 ft11NoNoTrade2025-06-25NoNo12025-09-11FalseFalsePro & Farm2,250,000$2,250,000$0$0$No---------------------------Lien NHL
Ben MeyersSags (CHI)C261998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Brendan BrissonSags (CHI)RW232001-10-22USANo191 Lbs6 ft0NoNoTrade2025-04-24NoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Clay StevensonSags (CHI)G261999-03-03CANYes195 Lbs6 ft4NoNoProspectNoNo62025-09-15FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien NHL
Cole McWardSags (CHI)D242001-06-09USAYes192 Lbs6 ft1NoNoTrade2025-09-11NoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien NHL
Conor ShearySags (CHI)RW331992-06-08USANo179 Lbs5 ft8NoNoAssign ManuallyNoNo12025-10-12FalseFalsePro & Farm500,000$500,000$0$0$No---------------------------Lien NHL
Craig SmithSags (CHI)RW361989-09-05USANo203 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien NHL
Curtis LazarSags (CHI)C301995-02-02CANNo203 Lbs6 ft0NoNoTrade2025-06-14NoNo12025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------Lien NHL
Daniil MiromanovSags (CHI)D281997-07-11RUSNo207 Lbs6 ft4NoNoTrade2025-01-14NoNo42025-09-11FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien NHL
Evander KaneSags (CHI)LW341991-08-02CANNo218 Lbs6 ft2NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$3,000,000$3,000,000$-----3,000,000$3,000,000$3,000,000$3,000,000$-----NoNoNoNo-----Lien NHL
Gabriel LandeskogSags (CHI)LW321992-11-23SWENo215 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien NHL
James MalatestaSags (CHI)RW222003-05-31CANYes191 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-11FalseFalsePro & Farm1,025,000$1,025,000$0$0$No1,025,000$--------1,025,000$--------No--------Lien NHL
Jonny BrodzinskiSags (CHI)C321993-06-19USANo204 Lbs6 ft0NoNoN/ANoNo22025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien NHL
Josef KorenarSags (CHI)G271998-01-31CZEYes185 Lbs6 ft1NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Juha JaaskaSags (CHI)LW271998-02-09SWEYes210 Lbs6 ft0NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm1,550,000$1,550,000$0$0$No1,550,000$1,550,000$1,550,000$1,550,000$-----1,550,000$1,550,000$1,550,000$1,550,000$-----NoNoNoNo-----Lien NHL
Justin BrazeauSags (CHI)RW271998-02-02CANYes220 Lbs6 ft5NoNoTrade2025-09-23NoNo22025-09-11FalseFalsePro & Farm1,025,000$1,025,000$0$0$No1,025,000$--------1,025,000$--------No--------Lien NHL
Kailer YamamotoSags (CHI)RW271998-09-29USANo153 Lbs5 ft8NoNoTrade2025-09-23NoNo12025-09-11FalseFalsePro & Farm1,800,000$1,800,000$0$0$No---------------------------Lien NHL
Kevin MandoleseSags (CHI)G252000-08-22CANYes180 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------Lien NHL
Landon SlaggertSags (CHI)LW232002-06-25USANo180 Lbs6 ft0NoNoTrade2025-03-28NoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien NHL
Matt KierstedSags (CHI)D271998-04-14USANo181 Lbs6 ft0NoNoTrade2025-09-18NoNo32025-09-11FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Lien NHL
Matthew PhillipsSags (CHI)C271998-04-06CANYes160 Lbs5 ft8NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----Lien NHL
Nathan SmithSags (CHI)LW261998-10-19USAYes177 Lbs6 ft0NoNoN/ANoNo42025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
Nick BlankenburgSags (CHI)D271998-05-12USANo177 Lbs5 ft9NoNoTrade2025-06-08NoNo22025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No950,000$--------950,000$--------No--------Lien NHL
Rocco GrimaldiSags (CHI)LW321993-02-08USANo180 Lbs5 ft6NoNoN/ANoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Ryan GreeneSags (CHI)C212003-10-21CANYes174 Lbs6 ft1NoNoProspectNoNo62025-09-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$950,000$950,000$950,000$----950,000$950,000$950,000$950,000$950,000$----NoNoNoNoNo----Lien NHL
Samuel LabergeSags (CHI)C281997-04-10CANNo206 Lbs6 ft2NoNoN/ANoNo32025-09-11FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Tanner LaczynskiSags (CHI)C281997-06-01USAYes190 Lbs6 ft1NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----Lien NHL
Torey KrugSags (CHI)D341991-04-12USANo194 Lbs5 ft9NoNoTrade2025-06-06NoNo32025-09-11FalseFalsePro & Farm2,250,000$2,250,000$0$0$No2,250,000$2,250,000$-------2,250,000$2,250,000$-------NoNo-------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.77191 Lbs6 ft03.101,158,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairJonny BrodzinskiJustin Brazeau35122
2Landon SlaggertCurtis LazarCraig Smith30122
3Juha JaaskaRyan GreeneKailer Yamamoto25122
4Evander KaneTanner LaczynskiJonny Brodzinski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgDaniil Miromanov35122
2Adam BoqvistTorey Krug30122
3Matt KierstedCole McWard25122
4Nick BlankenburgDaniil Miromanov10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anthony DuclairJonny BrodzinskiJustin Brazeau55122
2Landon SlaggertCurtis LazarCraig Smith45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgDaniil Miromanov55122
2Adam BoqvistTorey Krug45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiJustin Brazeau55122
2Curtis LazarCraig Smith45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgDaniil Miromanov55122
2Adam BoqvistTorey Krug45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jonny Brodzinski55122Nick BlankenburgDaniil Miromanov55122
2Justin Brazeau45122Adam BoqvistTorey Krug45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jonny BrodzinskiJustin Brazeau55122
2Curtis LazarCraig Smith45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgDaniil Miromanov55122
2Adam BoqvistTorey Krug45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairJonny BrodzinskiJustin BrazeauNick BlankenburgDaniil Miromanov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anthony DuclairJonny BrodzinskiJustin BrazeauNick BlankenburgDaniil Miromanov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Juha Jaaska, Kailer Yamamoto, Ryan GreeneJuha Jaaska, Kailer YamamotoRyan Greene
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Kiersted, Cole McWard, Adam BoqvistMatt KierstedCole McWard, Adam Boqvist
Tirs de pénalité
Jonny Brodzinski, Justin Brazeau, Curtis Lazar, Craig Smith, Anthony Duclair
Gardien
#1 : Clay Stevenson, #2 : Kevin Mandolese


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
112Hunters-Sags-
227Sags-Rockets-
335Sags-CoolFm-
554Rockets-Sags-
671Sags-Goons-
782Marmots-Sags-
9102Sags-Husky-
10112Rockets-Sags-
11120Sags-TigersCats-
12142Smirnoff Ice-Sags-
14163Marlies-Sags-
15175Sags-CoolFm-
16181Sags-Hunters-
17203Grizzlies-Sags-
18214Sags-Twins-
19232Farmers-Sags-
20245Sags-Rockets-
22265Raptors-Sags-
23278Sags-Chiwawa-
24292Sags-Husky-
25306Husky-Sags-
27324Spartans-Sags-
28336Sags-Grizzlies-
29348Sags-Hunters-
30365Grizzlies-Sags-
31381Sags-Outlaws-
33397Hunters-Sags-
34414Sags-Marmots-
35426Twins-Sags-
36437Sags-Supreme-
37456Snowbirds-Sags-
39476Sags-Snowbirds-
40486Sags-Barracudas-
41494Xpress-Sags-
42517Chiwawa-Sags-
43528Sags-Spartans-
44547Vipers-Sags-
45554Sags-Igloos-
46573Sags-Scorpions-
47584Sags-Bandits-
48596Barracudas-Sags-
49617Scorpions-Sags-
50632Sags-Rockets-
52649CoolFm-Sags-
53669Sags-Farmers-
54675Sags-Marlies-
55689Goons-Sags-
56703Sags-Warriors-
57715Bandits-Sags-
58739Supreme-Sags-
59756Sags-Xpress-
60763Sags-Twins-
61778Marlies-Sags-
63802Vandals-Sags-
64812Sags-Raptors-
65826Sags-Smirnoff Ice-
66837TigersCats-Sags-
68857Sags-Raptors-
69866Igloos-Sags-
70887Sags-Vandals-
71897Smirnoff Ice-Sags-
73917Sags-Warriors-
74926Rockets-Sags-
76948Sags-Wolves-
77959Igloos-Sags-
79991Bandits-Sags-
80999Sags-TigersCats-
821021Warriors-Sags-
831043Bayou-Sags-
841053Sags-Vipers-
861068Sags-Predateurs-
871083Thugs-Sags-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
891101Sags-Bayou-
901114Outlaws-Sags-
921131Sags-Goons-
931146Farmers-Sags-
951170Sags-Xpress-
961177Marmots-Sags-
991206Wolves-Sags-
1011217Sags-Thugs-
1031239Predateurs-Sags-
1081271Wolves-Sags-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets8030
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$ 3,475,000$ 3,475,000$ 1,000,000$0$
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 41,435$ 4,474,980$




Sags 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

Sags 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

Sags 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
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Sags 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

Sags 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