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Connexion

StarsF
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Julien Gagné | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #24 vs Monsters

StarsF
0-0-0, 0pts
2026-07-18
Monsters
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%
StarsF
0-0-0, 0pts
2026-07-20
Condors
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%
Eagles
0-0-0, 0pts
2026-07-21
StarsF
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 généralJulien Gagné
EntraîneurMike Stothers
DivisionDivision Pacifique
ConférenceConference 2
CapitaineMichael Dal Colle
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 56
Espoirs62


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nikolai Kovalenko0XX100.0066459175707878756772737565655858506702612,000,000$
2Vitali Kravtsov0XX100.0063459274727485756672737363675762476702631,500,000$
3Logan Brown0XXX100.0061479472757485747673727273675454506702811,700,000$
4Michael Dal Colle (C)0XX100.0062469571727387727067707265715654506603011,300,000$
5Nicholas Caamano0XX100.0068459272727675697164687262595354506502721,000,000$
6Jere Lassila0X100.007146817468747470767166675856517850650221750,000$
7Justin Kirkland0XXX100.0066469873716675687965647060615154506402931,000,000$
8Rickard Hugg0XX100.0062479573697375726569677665584754476402721,200,000$
9Ruslan Gazizov0XX100.0059458975706976737266666959605074506402231,000,000$
10Benjamin Baumgartner0X100.006546897366717469756967676051466250630261750,000$
11Ben Jones (R)0X100.007345957668697368616765715950454050630271900,000$
12Jamieson Rees0XXX100.007045867267697265706862715648466650620252750,000$
13Jarred Tinordi0X100.0075659370787270714566667164665126476603431,300,000$
14Matthew Kessel0X100.0065469074747873714570657162554762506502631,200,000$
15Scott Perunovich0X100.006244937266757667456769725660515450640272900,000$
16Cameron Crotty0X100.006239887270717465456659744560525850630272800,000$
17Ludvig Jansson0X100.007245817368727270456559745448457850630222750,000$
18Graham Sward (R)0X100.007048777170707065456565716245507050620223750,000$
Rayé
1Patrik Puistola0XX100.005745897368697466616767646056506250620251750,000$
2Maxim Cajkovic0XX100.006845867268727267596668666048456650620252750,000$
3Taro Hirose0XX100.006045927167697866656462666058515450610302900,000$
4Liam Dower-Nilsson (R)0XXX100.006448786969707065666963676145477050610233750,000$
5Antti Saarela (R)0XXX100.006247797068707067666866696345477050610253750,000$
6Markus Vidicek (R)0XXX100.005746857167707065746267686345507050610223750,000$
7Tyler Weiss0XX100.006848787365677065636461645853506250600261750,000$
8Ilya Nikolaev (R)0XXX100.006848817170505066666567706345477050600253750,000$
9Kristians Rubins0X100.0074448972757475654562647254574850506402921,200,000$
10Layton Ahac0X100.006645877372706867456157725247456250620251750,000$
11Dysin Mayo0X100.006744887270717161456060665967555050620292700,000$
12Zach Uens0X100.006960707270707064456362675645457020610252750,000$
MOYENNE D’ÉQUIPE100.00664787727071736861666570605550604963
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Evan Cowley0100.007573757979778378788179676550506603011,700,000$
2Olof Lindbom0100.00807877777778807877797946466650630262750,000$
Rayé
1Will Cranley0100.00767575797574757675767745457023610242750,000$
MOYENNE D’ÉQUIPE100.0077757678777679777779785352624163
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Stothers73788079798577CAN648100,000$


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Antti SaarelaStarsF (Dal)C/LW/RW252001-06-27FINYes183 Lbs5 ft11NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Ben JonesStarsF (Dal)RW271999-02-26CANYes187 Lbs6 ft0NoNoFree AgentNoNo12026-05-11FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Benjamin BaumgartnerStarsF (Dal)C262000-04-22AUTNo165 Lbs5 ft9NoNoTrade2025-05-01NoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Cameron CrottyStarsF (Dal)D271999-05-05CANNo182 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Dysin MayoStarsF (Dal)D291996-08-17CANNo194 Lbs6 ft2NoNoN/ANoNo22026-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Evan CowleyStarsF (Dal)G301995-07-31USANo201 Lbs6 ft4NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Graham SwardStarsF (Dal)D222003-09-12CANYes192 Lbs6 ft4NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Ilya NikolaevStarsF (Dal)C/LW/RW252001-06-26RUSYes194 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jamieson ReesStarsF (Dal)C/LW/RW252001-02-26CANNo186 Lbs5 ft10NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jarred TinordiStarsF (Dal)D341992-02-20USANo230 Lbs6 ft6NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Jere LassilaStarsF (Dal)C222004-03-08FINNo176 Lbs5 ft10NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Justin KirklandStarsF (Dal)C/LW/RW291996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Kristians RubinsStarsF (Dal)D291997-01-11LVANo227 Lbs6 ft5NoNoTrade2025-05-26NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Layton AhacStarsF (Dal)D252001-02-22CANNo205 Lbs6 ft2NoNoTrade2025-05-26NoNo12024-06-05FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Liam Dower-NilssonStarsF (Dal)C/LW/RW232003-04-14SWEYes190 Lbs6 ft0NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Logan BrownStarsF (Dal)C/LW/RW281998-03-05USANo220 Lbs6 ft6NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Ludvig JanssonStarsF (Dal)D222003-12-27SWENo176 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Markus VidicekStarsF (Dal)C/LW/RW222004-03-21CANYes172 Lbs5 ft10NoNoProspectNoNo32026-05-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Matthew KesselStarsF (Dal)D262000-06-23USANo205 Lbs6 ft2NoNoFree AgentNoNo32026-04-29FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Maxim CajkovicStarsF (Dal)LW/RW252001-01-03SVKNo185 Lbs5 ft11NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Michael Dal ColleStarsF (Dal)LW/RW301996-06-20CANNo195 Lbs6 ft3NoNoN/ANoNo12025-05-28FalseFalsePro & Farm1,300,000$0$0$No---------------------------Lien
Nicholas CaamanoStarsF (Dal)LW/RW271998-09-07CANNo205 Lbs6 ft3NoNoN/ANoNo22026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Nikolai KovalenkoStarsF (Dal)LW/RW261999-10-17USANo180 Lbs5 ft10NoNoN/ANoNo12025-05-28FalseFalsePro & Farm2,000,000$0$0$No---------------------------Lien
Olof LindbomStarsF (Dal)G262000-07-23SWENo190 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Patrik PuistolaStarsF (Dal)LW/RW252001-01-11FINNo174 Lbs6 ft0NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Rickard HuggStarsF (Dal)LW/RW271999-01-18SWENo183 Lbs5 ft10NoNoFree AgentNoNo22026-07-06FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Ruslan GazizovStarsF (Dal)LW/RW222004-01-21RUSNo182 Lbs5 ft10NoNoTrade2025-05-01NoNo32026-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Scott PerunovichStarsF (Dal)D271998-08-18USANo175 Lbs5 ft10NoNoN/ANoNo22026-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Taro HiroseStarsF (Dal)LW/RW301996-06-30CANNo162 Lbs5 ft10NoNoFree AgentNoNo22025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Tyler WeissStarsF (Dal)LW/RW262000-01-03USANo155 Lbs5 ft10NoNoProspectNoNo12024-06-18FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Vitali KravtsovStarsF (Dal)LW/RW261999-12-23RUSNo186 Lbs6 ft3NoNoN/ANoNo32026-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Will CranleyStarsF (Dal)G242002-02-26CANNo185 Lbs6 ft4NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Zach UensStarsF (Dal)D252001-05-13CANNo190 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3326.12188 Lbs6 ft12.00978,788$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolai KovalenkoLogan Brown30023
2Jere LassilaMichael Dal Colle30122
3Jamieson Rees25122
415122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135032
2Ludvig Jansson35032
330032
40122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nikolai KovalenkoLogan Brown50005
2Jere Lassila50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150005
2Ludvig Jansson50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal Colle50032
2Jamieson Rees50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ludvig Jansson50032
250032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150140Ludvig Jansson50122
2Jamieson Rees5014050122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan Brown50122
2Jere LassilaJamieson Rees50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ludvig Jansson50122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai KovalenkoLogan Brown
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai KovalenkoLogan Brown
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jamieson Rees, , Jere LassilaJamieson Rees,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Ludvig Jansson,
Tirs de pénalité
, Nikolai Kovalenko, Logan Brown, Michael Dal Colle, Jere Lassila
Gardien
#1 : Evan Cowley, #2 : Olof Lindbom


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
3 - 2026-07-1824StarsF-Monsters-
5 - 2026-07-2036StarsF-Condors-
6 - 2026-07-2143Eagles-StarsF-
7 - 2026-07-2261Gulls-StarsF-
8 - 2026-07-2371Phantoms-StarsF-
11 - 2026-07-2691StarsF-Iowa Wild-
13 - 2026-07-28104StarsF-Admirals-
14 - 2026-07-29111Griffins-StarsF-
17 - 2026-08-01132StarsF-Wranglers-
18 - 2026-08-02143Monsters-StarsF-
21 - 2026-08-05166StarsF-Griffins-
23 - 2026-08-07173Griffins-StarsF-
24 - 2026-08-08184StarsF-Silver Knights-
27 - 2026-08-11206Icehogs-StarsF-
29 - 2026-08-13222StarsF-Condors-
31 - 2026-08-15235Griffins-StarsF-
33 - 2026-08-17251StarsF-Eagles-
35 - 2026-08-19268Condors-StarsF-
37 - 2026-08-21279StarsF-Reign-
39 - 2026-08-23295StarsF-Islanders-
40 - 2026-08-24303Barracuda-StarsF-
44 - 2026-08-28328Crunch-StarsF-
46 - 2026-08-30344StarsF-Reign-
48 - 2026-09-01358Icehogs-StarsF-
50 - 2026-09-03375StarsF-Icehogs-
53 - 2026-09-06393StarsF-Americans-
54 - 2026-09-07399Wolves-StarsF-
57 - 2026-09-10421StarsF-Thunderbirds-
58 - 2026-09-11430Bears-StarsF-
61 - 2026-09-14455Silver Knights-StarsF-
63 - 2026-09-16470StarsF-Iowa Wild-
65 - 2026-09-18485StarsF-Gulls-
66 - 2026-09-19493Monsters-StarsF-
70 - 2026-09-23519Griffins-StarsF-
72 - 2026-09-25536StarsF-Firebirds-
74 - 2026-09-27553Canucks-StarsF-
76 - 2026-09-29565StarsF-PenguinsF-
78 - 2026-10-01582StarsF-BruinsF-
79 - 2026-10-02590Thunderbirds-StarsF-
82 - 2026-10-05613Reign-StarsF-
84 - 2026-10-07626StarsF-Monsters-
86 - 2026-10-09646Silver Knights-StarsF-
88 - 2026-10-11659StarsF-Roadrunners-
90 - 2026-10-13671StarsF-Condors-
92 - 2026-10-15684Checkers-StarsF-
94 - 2026-10-17699StarsF-Marlies-
96 - 2026-10-19716Eagles-StarsF-
98 - 2026-10-21726StarsF-Eagles-
100 - 2026-10-23741StarsF-Canucks-
102 - 2026-10-25752Phantoms-StarsF-
104 - 2026-10-27773StarsF-Canucks-
106 - 2026-10-29782Admirals-StarsF-
109 - 2026-11-01805StarsF-Gulls-
110 - 2026-11-02814Condors-StarsF-
113 - 2026-11-05832StarsF-Wranglers-
114 - 2026-11-06846Roadrunners-StarsF-
118 - 2026-11-10874Rocket-StarsF-
121 - 2026-11-13894StarsF-Roadrunners-
122 - 2026-11-14906Reign-StarsF-
125 - 2026-11-17923StarsF-Monsters-
127 - 2026-11-19939SenatorsF-StarsF-
131 - 2026-11-23967Thunderbirds-StarsF-
133 - 2026-11-25981StarsF-Moose-
136 - 2026-11-281002Roadrunners-StarsF-
138 - 2026-11-301023Comets-StarsF-
140 - 2026-12-021035StarsF-Thunderbirds-
143 - 2026-12-051052StarsF-Icehogs-
144 - 2026-12-061065Iowa Wild-StarsF-
147 - 2026-12-091084StarsF-Barracuda-
148 - 2026-12-101094StarsF-Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2026-12-121104Canucks-StarsF-
153 - 2026-12-151128Griffins-StarsF-
156 - 2026-12-181150Iowa Wild-StarsF-
160 - 2026-12-221179Wranglers-StarsF-
161 - 2026-12-231185StarsF-Admirals-
165 - 2026-12-271212StarsF-Admirals-
167 - 2026-12-291221Admirals-StarsF-
170 - 2027-01-011243StarsF-Barracuda-
172 - 2027-01-031256Wranglers-StarsF-
175 - 2027-01-061277StarsF-Silver Knights-
176 - 2027-01-071289Barracuda-StarsF-
178 - 2027-01-091300StarsF-Silver Knights-
181 - 2027-01-121321Gulls-StarsF-
183 - 2027-01-141340StarsF-Griffins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
42 0 - 0%0$0$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,230,000$ 3,230,000$ 100,000$0$
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$ 184 18,098$ 3,330,032$




StarsF 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

StarsF 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

StarsF 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

StarsF 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

StarsF 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