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Connexion

Sags
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Nicolas Gagnon | Morale : 90 | Moyenne d’équipe : 57

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralNicolas Gagnon
EntraîneurLane Lambert
DivisionDivision Est
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison3,000


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 50
Espoirs96


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
1Philip TomasinoX100.006945918459657461305765616883730906302421,200,000$
2Craig SmithX100.00674579806857715830536361689583090610363950,000$
3Tanner JeannotX100.009969597578558153304759556687750906002852,000,000$
4Landon SlaggertX100.00634876805462405230505577668271090590233925,000$
5Ethen Frank (R)X100.00564588815654405730506459678775090570274900,000$
6Juha Jaaska (R)X100.006848837769504053305650576687740905702751,550,000$
7Ryan Greene (R)X100.00504595795366404530405064508171090540216950,000$
8Tanner Laczynski (R)X100.00504587756950404730405455508774090530285775,000$
9Samuel LabergeX100.00504595757250404530405055508774090530283800,000$
10James Malatesta (R)X100.005245957755534045304050555081690905202221,025,000$
11Nick BlankenburgX100.00664584854281725730565889678680090680272950,000$
12Parker WotherspoonX100.00774590795775665130495268658779090640281775,000$
13Adam BoqvistX100.005445878655594264306364556984720906302512,500,000$
14Torey KrugX100.005045848951504045304050555093890905803432,250,000$
15Matt KierstedX100.005045927850534047304450625087750905702731,600,000$
16Kyle CapobiancoX100.00504590766450404530405055508775090560284800,000$
Rayé
1Ben MeyersX100.00564592775950404530405057508673090530263925,000$
2Rocco GrimaldiX100.00504595786050404530405055509077090530324775,000$
3Matthew Phillips (R)X100.00504595824050404530405055508673090520275775,000$
4Gabriel LandeskogX100.00504595746050404530405055509178090520323900,000$
5Alexander ChmelevskiX100.00504595776050404530405055508471090520265775,000$
6Nathan Smith (R)X100.00504595796050404530405055508471090520264800,000$
7Dysin MayoX100.00504595786050404530405055508674090560294800,000$
8Cole McWard (R)X100.00504595775850404530405055508269090550241775,000$
MOYENNE D’ÉQUIPE100.0057468979595547493045545956867509057
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
MOYENNE D’ÉQUIPE100.007045508568686868686868847109060
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$0$0$No---------------------------Lien NHL
Alexander ChmelevskiSags (CHI)RW261999-06-09USANo188 Lbs6 ft0NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Ben MeyersSags (CHI)C261998-11-15USANo194 Lbs5 ft11NoNoN/ANoNo32025-09-11FalseFalsePro & Farm925,000$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$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$0$0$No---------------------------Lien NHL
Craig SmithSags (CHI)RW361989-09-05USANo203 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien NHL
Dysin MayoSags (CHI)D291996-08-17CANNo183 Lbs6 ft2NoNoAssign ManuallyNoNo42026-01-06FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Ethen FrankSags (CHI)C271998-02-05CANYes188 Lbs5 ft11NoNoTrade2025-12-30NoNo42025-09-15FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------Lien NHL
Gabriel LandeskogSags (CHI)LW321992-11-23SWENo215 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm900,000$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$0$0$No1,025,000$--------1,025,000$--------No--------Lien NHL
Juha JaaskaSags (CHI)LW271998-02-09SWEYes210 Lbs6 ft0NoNoAssign ManuallyNoNo52025-09-25FalseFalsePro & Farm1,550,000$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
Kevin MandoleseSags (CHI)G252000-08-22CANYes180 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Kyle CapobiancoSags (CHI)D281997-08-13CANNo201 Lbs6 ft2NoNoAssign ManuallyNoNo42026-01-06FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------Lien NHL
Landon SlaggertSags (CHI)LW232002-06-25USANo180 Lbs6 ft0NoNoTrade2025-03-28NoNo32025-09-11FalseFalsePro & Farm925,000$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$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$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$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$0$0$No950,000$--------950,000$--------No--------Lien NHL
Parker WotherspoonSags (CHI)D281997-08-24CANNo195 Lbs6 ft1NoNoTrade2025-12-11NoNo12025-09-11FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Philip TomasinoSags (CHI)LW242001-07-28CANNo179 Lbs6 ft0NoNoTrade2025-12-07NoNo22025-09-11FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien NHL
Rocco GrimaldiSags (CHI)LW321993-02-08USANo180 Lbs5 ft6NoNoN/ANoNo42025-09-11FalseFalsePro & Farm775,000$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$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$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien NHL
Tanner JeannotSags (CHI)RW281997-05-29CANNo220 Lbs6 ft2NoNoTrade2026-01-16NoNo52025-09-11FalseFalsePro & Farm2,000,000$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
Tanner LaczynskiSags (CHI)C281997-06-01USAYes190 Lbs6 ft1NoNoN/ANoNo52025-09-11FalseFalsePro & Farm775,000$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$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
2627.15190 Lbs6 ft03.381,082,692$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoEthen FrankCraig Smith35122
2Landon SlaggertRyan GreeneTanner Jeannot30122
3Juha JaaskaTanner LaczynskiJames Malatesta25122
4Philip TomasinoSamuel LabergeCraig Smith10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgParker Wotherspoon35122
2Adam BoqvistTorey Krug30122
3Matt KierstedKyle Capobianco25122
4Nick BlankenburgParker Wotherspoon10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Philip TomasinoEthen FrankCraig Smith55122
2Landon SlaggertRyan GreeneTanner Jeannot45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgParker Wotherspoon55122
2Adam BoqvistTorey Krug45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ethen FrankPhilip Tomasino55122
2Ryan GreeneLandon Slaggert45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgParker Wotherspoon55122
2Adam BoqvistTorey Krug45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ethen Frank55122Nick BlankenburgParker Wotherspoon55122
2Ryan Greene45122Adam BoqvistTorey Krug45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ethen FrankPhilip Tomasino55122
2Ryan GreeneLandon Slaggert45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick BlankenburgParker Wotherspoon55122
2Adam BoqvistTorey Krug45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoEthen FrankCraig SmithNick BlankenburgParker Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Philip TomasinoEthen FrankCraig SmithNick BlankenburgParker Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Juha Jaaska, Ethen Frank, Ryan GreeneJuha Jaaska, Ethen FrankJuha Jaaska
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Torey Krug, Matt Kiersted, Kyle CapobiancoTorey KrugTorey Krug, Matt Kiersted
Tirs de pénalité
Philip Tomasino, Craig Smith, Tanner Jeannot, Landon Slaggert, Juha Jaaska
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



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$ 2,815,000$ 2,815,000$ 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$ 0 0$ 0$




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

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