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Connexion

StarsF
GP: 7 | W: 2 | L: 4 | OTL: 1 | P: 5
GF: 18 | GA: 27 | PP%: 29.17% | PK%: 60.00%
DG: Julien Gagné | Morale : 46 | Moyenne d’équipe : 63
Prochains matchs #134 vs Icehogs

Centre de jeu
StarsF
2-4-1, 5pts
3
FINAL
4 Thunderbirds
5-2-0, 10pts
Team Stats
W1SéquenceL1
1-3-0Fiche domicile4-0-0
1-1-1Fiche domicile1-2-0
2-4-1Derniers 10 matchs5-2-0
2.57Buts par match 3.86
3.86Buts contre par match 3.00
29.17%Pourcentage en avantage numérique25.00%
60.00%Pourcentage en désavantage numérique83.33%
Reign
2-5-0, 4pts
2
FINAL
3 StarsF
2-4-1, 5pts
Team Stats
L2SéquenceW1
1-3-0Fiche domicile1-3-0
1-2-0Fiche domicile1-1-1
2-5-0Derniers 10 matchs2-4-1
2.71Buts par match 2.57
3.00Buts contre par match 3.86
34.78%Pourcentage en avantage numérique29.17%
71.43%Pourcentage en désavantage numérique60.00%
Icehogs
8-0-0, 16pts
2025-08-30
StarsF
2-4-1, 5pts
Statistiques d’équipe
W2SéquenceW1
3-0-0Fiche domicile1-3-0
5-0-0Fiche visiteur1-1-1
8-0-010 derniers matchs2-4-1
3.88Buts par match 2.57
1.88Buts contre par match 2.57
25.93%Pourcentage en avantage numérique29.17%
72.22%Pourcentage en désavantage numérique60.00%
StarsF
2-4-1, 5pts
2025-09-01
Iowa Wild
4-4-0, 8pts
Statistiques d’équipe
W1SéquenceW2
1-3-0Fiche domicile3-1-0
1-1-1Fiche visiteur1-3-0
2-4-110 derniers matchs4-4-0
2.57Buts par match 3.88
3.86Buts contre par match 3.88
29.17%Pourcentage en avantage numérique21.62%
60.00%Pourcentage en désavantage numérique73.33%
Admirals
5-2-1, 11pts
2025-09-04
StarsF
2-4-1, 5pts
Statistiques d’équipe
OTL1SéquenceW1
2-1-0Fiche domicile1-3-0
3-1-1Fiche visiteur1-1-1
5-2-110 derniers matchs2-4-1
3.38Buts par match 2.57
3.00Buts contre par match 2.57
28.57%Pourcentage en avantage numérique29.17%
78.13%Pourcentage en désavantage numérique60.00%
Meneurs d'équipe
Buts
Vasily Podkolzin
4
Passes
Jere Lassila
5
Points
Vasily Podkolzin
7
Plus/Moins
Kyle Clifford
1
Victoires
Evan Cowley
2
Pourcentage d’arrêts
Evan Cowley
0.874

Statistiques d’équipe
Buts pour
18
2.57 GFG
Tirs pour
189
27.00 Avg
Pourcentage en avantage numérique
29.2%
7 GF
Début de zone offensive
39.6%
Buts contre
27
3.86 GAA
Tirs contre
205
29.29 Avg
Pourcentage en désavantage numérique
60.0%%
6 GA
Début de la zone défensive
38.9%
Informations de l'équipe

Directeur généralJulien Gagné
EntraîneurMike Stothers
DivisionDivision Pacifique
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2Nikolai Kovalenko


Informations de l’aréna

Capacité3,000
Assistance2,865
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 56
Espoirs60


Historique d'équipe

Saison actuelle2-4-1 (5PTS)
Historique105-52-18 (0.600%)
Apparitions en séries éliminatoires 2
Historique en séries éliminatoires (W-L)17 - 13 (0.567%)
Coupe Stanley1


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
1Vasily Podkolzin (R)XX100.007450878070769077617270757065457048670243900,000$
2Logan BrownXXX100.0063469272757283747472727472645358486602721,700,000$
3Michael Dal ColleXX100.0064459371727186726868717066685555486502921,300,000$
4Nicholas CaamanoXX98.006845917272747370696569726356525648640271750,000$
5Jere LassilaX99.006945807367727270747166685853507948640212750,000$
6Ruslan GazizovXX99.746045877469677473706765705957497538630211750,000$
7Patrik PuistolaXX100.005945877368717267616867666053496648620242750,000$
8Jamieson Rees (R)XXX100.006945857267707065706862705645457046620243750,000$
9Maxim Cajkovic (R)XX100.006645857268707068606768686145457046620243750,000$
10Victor MeteX100.0061459376677888734576647456775156486702722,000,000$
11Matthew KesselX100.0065458974747674724570657363534666486502515,000,000$
12Scott PerunovichX100.006444917266737466456767725657505648640271750,000$
13Kristians RubinsX97.5472448872757273664563667254544753386402831,200,000$
14Cameron CrottyX100.006339877270707465456759744557525948630261750,000$
15Ludvig Jansson (R)X100.007045807267707069456560735445458046620213750,000$
Rayé
1Nikolai Kovalenko (A)XX93.0066458975707676756571727763625662486702522,000,000$
2Kyle CliffordXX100.0070459270766967705869656763895926456603411,500,000$
3Justin KirklandXXX93.0066469773716773707866667261585157486402912,000,000$
4Benjamin BaumgartnerX100.006345877366697270737067686048456639630252750,000$
5Taro HiroseXX100.006045937167718067646563676158515845620293900,000$
6Tyler WeissXX100.007049767365687267626663665853506643610252750,000$
7Denis SmirnovXX100.005542857266666758665655665954515443580281500,000$
8Dysin MayoX100.006544867270717363456262685967555345630291900,000$
9Layton AhacX100.006745887372696968456158745245456643620242750,000$
10Zach Uens (R)X100.006960707270707064456362675645457043610243750,000$
MOYENNE D’ÉQUIPE99.16664687737071746959676571595750624563
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
1Evan Cowley96.007571737979788479798278656354456603021,700,000$
2Olof Lindbom (R)100.00807878777776787675777745457050620253750,000$
Rayé
1Will Cranley (R)100.00767575797574757675767745457046610233750,000$
MOYENNE D’ÉQUIPE98.6777757578777679777678775251654763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Stothers76777775748082CAN639100,000$


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
1Vasily PodkolzinStarsF (Dal)LW/RW7437-420572082520.00%312818.31325620000000050.00%800001.0901000100
2Jere LassilaStarsF (Dal)C7055-2201289580%012818.40011219000000052.38%14700000.7800000000
3Nikolai KovalenkoStarsF (Dal)LW/RW7044-320972411260%213819.83033320000000033.33%900000.5801000000
4Nicholas CaamanoStarsF (Dal)LW/RW7224-20078115918.18%212718.28000030000100066.67%900000.6300000000
5Kristians RubinsStarsF (Dal)D7224-1407460433.33%1215121.64112520000010000%000000.5300000010
6Matthew KesselStarsF (Dal)D7033-800928570%1215522.1903331900004000%000000.3900000000
7Victor MeteStarsF (Dal)D7123-84065105610.00%715321.8712381900003000%000000.3900000000
8Ruslan GazizovStarsF (Dal)LW/RW7213-400381341315.38%011616.64101217000000014.29%700000.5200000000
9Logan BrownStarsF (Dal)C/LW/RW7213-40021722599.09%012818.35101520000000056.71%16400000.4701000000
10Ludvig JanssonStarsF (Dal)D4033-140452010%67117.990000000004000%000000.8300000001
11Maxim CajkovicStarsF (Dal)LW/RW5123-2001215376.67%07515.070113170000000100.00%100000.8000000000
12Patrik PuistolaStarsF (Dal)LW/RW7202-1002544250.00%1608.580001000000200%200000.6700000001
13Cameron CrottyStarsF (Dal)D71120608251020.00%711716.810000000009010%000000.3400000010
14Scott PerunovichStarsF (Dal)D71010204572714.29%1112618.1000004000013000%000000.1600000000
15Michael Dal ColleStarsF (Dal)LW/RW7011-1003510480%110014.34000000000100075.00%800000.2000000000
16Jamieson ReesStarsF (Dal)C/LW/RW5011-200202030%15210.44000000000100030.00%2000000.3800000000
17Kyle CliffordStarsF (Dal)LW/RW3011140312040%14113.9000000000000029.27%4100000.4800000000
18Justin KirklandStarsF (Dal)C/LW/RW70000006811340%011216.04000280000110042.11%950000000000000
19Benjamin BaumgartnerStarsF (Dal)C6000-300215250%0518.55000110000010052.83%530000000000000
20Dysin MayoStarsF (Dal)D3000020333020%15317.730000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne124183250-4532098103189671509.52%67209116.8771320412030000912149.11%56400000.4803000122
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
1Evan CowleyStarsF (Dal)72410.8743.7838100241910000.667370010
2Olof LindbomStarsF (Dal)10000.8572.8642002140000007000
Statistiques d’équipe totales ou en moyenne82410.8733.684240026205000377010


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 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
Benjamin BaumgartnerStarsF (Dal)C252000-04-22AUTNo165 Lbs5 ft9NoNoTrade2025-05-01NoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Cameron CrottyStarsF (Dal)D261999-05-05CANNo182 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Denis SmirnovStarsF (Dal)LW/RW281997-08-12RUSNo185 Lbs5 ft8NoNoTrade2024-08-29NoNo12025-05-28FalseFalsePro & Farm500,000$0$0$No---------------------------Lien
Dysin MayoStarsF (Dal)D291996-08-17CANNo194 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Evan CowleyStarsF (Dal)G301995-07-31USANo201 Lbs6 ft4NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Jamieson ReesStarsF (Dal)C/LW/RW242001-02-26CANYes186 Lbs5 ft10NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Jere LassilaStarsF (Dal)C212004-03-08FINNo176 Lbs5 ft10NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Justin Kirkland (sur la masse salariale)StarsF (Dal)C/LW/RW291996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$Yes---------------------------Lien
Kristians RubinsStarsF (Dal)D281997-01-11LVANo227 Lbs6 ft5NoNoTrade2025-05-26NoNo32025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Kyle CliffordStarsF (Dal)LW/RW341991-01-13CANNo218 Lbs6 ft2NoNoFree AgentNoNo12025-07-11FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Layton AhacStarsF (Dal)D242001-02-22CANNo205 Lbs6 ft2NoNoTrade2025-05-26NoNo22024-06-05FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Logan BrownStarsF (Dal)C/LW/RW271998-03-05USANo220 Lbs6 ft6NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Ludvig JanssonStarsF (Dal)D212003-12-27SWEYes176 Lbs6 ft0NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Matthew KesselStarsF (Dal)D252000-06-23USANo205 Lbs6 ft2NoNoFree AgentNoNo12025-07-03FalseFalsePro & Farm5,000,000$0$0$No---------------------------Lien
Maxim CajkovicStarsF (Dal)LW/RW242001-01-03SVKYes185 Lbs5 ft11NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Michael Dal ColleStarsF (Dal)LW/RW291996-06-20CANNo195 Lbs6 ft3NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Nicholas CaamanoStarsF (Dal)LW/RW271998-09-07CANNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Nikolai Kovalenko (sur la masse salariale)StarsF (Dal)LW/RW251999-10-17USANo180 Lbs5 ft10NoNoN/ANoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$Yes2,000,000$--------2,000,000$--------No--------Lien
Olof LindbomStarsF (Dal)G252000-07-23SWEYes190 Lbs6 ft1NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Patrik PuistolaStarsF (Dal)LW/RW242001-01-11FINNo174 Lbs6 ft0NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Ruslan GazizovStarsF (Dal)LW/RW212004-01-21RUSNo182 Lbs5 ft10NoNoTrade2025-05-01NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Scott PerunovichStarsF (Dal)D271998-08-18USANo175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Taro HiroseStarsF (Dal)LW/RW291996-06-30CANNo162 Lbs5 ft10NoNoFree AgentNoNo32025-05-28FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Tyler WeissStarsF (Dal)LW/RW252000-01-03USANo155 Lbs5 ft10NoNoProspectNoNo22024-06-18FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Vasily PodkolzinStarsF (Dal)LW/RW242001-06-24RUSYes190 Lbs6 ft1NoNoProspectNoNo32025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Victor MeteStarsF (Dal)D271998-06-07CANNo187 Lbs5 ft9NoNoTrade2025-04-16NoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Will CranleyStarsF (Dal)G232002-02-26CANYes185 Lbs6 ft4NoNoProspectNoNo32025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Zach UensStarsF (Dal)D242001-05-13CANYes190 Lbs6 ft1NoNoProspectNoNo32025-05-07FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.89189 Lbs6 ft12.001,173,214$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan BrownVasily Podkolzin30023
2Ruslan GazizovJere LassilaNicholas Caamano30122
3Michael Dal ColleMaxim Cajkovic25122
4Patrik PuistolaJamieson Rees15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteMatthew Kessel35032
2Ludvig JanssonKristians Rubins35032
3Cameron CrottyScott Perunovich30032
4Victor MeteMatthew Kessel0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Logan BrownVasily Podkolzin50005
2Jere LassilaRuslan Gazizov50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteMatthew Kessel50005
2Maxim CajkovicKristians Rubins50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal Colle50032
2Jamieson ReesNicholas Caamano50032
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ludvig JanssonCameron Crotty50032
2Scott PerunovichKristians Rubins50032
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150140Victor MeteMatthew Kessel50122
2Jamieson Rees50140Scott PerunovichKristians Rubins50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownVasily Podkolzin50122
2Jere Lassila50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteMatthew Kessel50122
2Scott PerunovichKristians Rubins50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan BrownVasily PodkolzinVictor MeteMatthew Kessel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Logan BrownVasily PodkolzinVictor MeteMatthew Kessel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Nicholas Caamano, Jere Lassila, Nicholas Caamano
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristians Rubins, Cameron Crotty, Ludvig JanssonKristians RubinsKristians Rubins, Cameron Crotty
Tirs de pénalité
, Vasily Podkolzin, Logan Brown, Michael Dal Colle,
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
1Condors1010000026-4000000000001010000026-400.0002460076502366626131946185120.00%30100.00%010722248.20%10721849.08%6312152.07%160111171519345
2Eagles1010000025-31010000025-30000000000000.00024600765024666261330910135120.00%5340.00%010722248.20%10721849.08%6312152.07%160111171519345
3Icehogs1010000013-21010000013-20000000000000.00011200765029666261322114105120.00%2150.00%010722248.20%10721849.08%6312152.07%160111171519345
4Reign11000000321110000003210000000000021.0003470076502366626132815214100.00%000%010722248.20%10721849.08%6312152.07%160111171519345
5Silver Knights211000007701010000045-11100000032120.5007142100765062666261367208246350.00%4250.00%010722248.20%10721849.08%6312152.07%160111171519345
6Thunderbirds1000000134-1000000000001000000134-110.5003580076502866626133982192150.00%10100.00%010722248.20%10721849.08%6312152.07%160111171519345
Total724000011827-9413000001015-531100001812-450.357183250007650189666261320567329824729.17%15660.00%010722248.20%10721849.08%6312152.07%160111171519345
_Since Last GM Reset724000011827-9413000001015-531100001812-450.357183250007650189666261320567329824729.17%15660.00%010722248.20%10721849.08%6312152.07%160111171519345
_Vs Conference724000011827-9413000001015-531100001812-450.357183250007650189666261320567329824729.17%15660.00%010722248.20%10721849.08%6312152.07%160111171519345

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
75W118325018920567329800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
72400011827
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41300001015
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3110001812
Derniers 10 matchs
WLOTWOTL SOWSOL
240001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24729.17%15660.00%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
66626137650
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
10722248.20%10721849.08%6312152.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
160111171519345


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 - 2025-08-1415StarsF2Condors6LSommaire du match
5 - 2025-08-1627Icehogs3StarsF1LSommaire du match
7 - 2025-08-1845Silver Knights5StarsF4LSommaire du match
9 - 2025-08-2058StarsF3Silver Knights2WSommaire du match
11 - 2025-08-2277Eagles5StarsF2LSommaire du match
14 - 2025-08-2598StarsF3Thunderbirds4LXXSommaire du match
16 - 2025-08-27111Reign2StarsF3WSommaire du match
19 - 2025-08-30134Icehogs-StarsF-
21 - 2025-09-01150StarsF-Iowa Wild-
24 - 2025-09-04168Admirals-StarsF-
27 - 2025-09-07192Wranglers-StarsF-
29 - 2025-09-09202StarsF-PenguinsF-
31 - 2025-09-11220StarsF-Admirals-
32 - 2025-09-12232Gulls-StarsF-
35 - 2025-09-15253StarsF-Wranglers-
36 - 2025-09-16264Crunch-StarsF-
39 - 2025-09-19288Firebirds-StarsF-
41 - 2025-09-21302StarsF-Bears-
43 - 2025-09-23320Reign-StarsF-
45 - 2025-09-25334StarsF-Canucks-
46 - 2025-09-26344StarsF-Wranglers-
48 - 2025-09-28359Monsters-StarsF-
50 - 2025-09-30378StarsF-Comets-
52 - 2025-10-02391Americans-StarsF-
56 - 2025-10-06412StarsF-Wolf Pack-
57 - 2025-10-07425Checkers-StarsF-
61 - 2025-10-11447StarsF-Checkers-
62 - 2025-10-12459Gulls-StarsF-
65 - 2025-10-15482Thunderbirds-StarsF-
67 - 2025-10-17498StarsF-Barracuda-
69 - 2025-10-19513Thunderbirds-StarsF-
71 - 2025-10-21532StarsF-Gulls-
73 - 2025-10-23546Moose-StarsF-
75 - 2025-10-25561StarsF-Islanders-
77 - 2025-10-27572StarsF-Barracuda-
79 - 2025-10-29583StarsF-Iowa Wild-
80 - 2025-10-30591Marlies-StarsF-
83 - 2025-11-02615Wranglers-StarsF-
85 - 2025-11-04634StarsF-Reign-
87 - 2025-11-06647BruinsF-StarsF-
89 - 2025-11-08666StarsF-Gulls-
91 - 2025-11-10679Barracuda-StarsF-
94 - 2025-11-13700StarsF-Admirals-
95 - 2025-11-14711Barracuda-StarsF-
99 - 2025-11-18737Griffins-StarsF-
101 - 2025-11-20753StarsF-Bears-
103 - 2025-11-22772Iowa Wild-StarsF-
104 - 2025-11-23779StarsF-SenatorsF-
107 - 2025-11-26800Iowa Wild-StarsF-
109 - 2025-11-28813StarsF-Condors-
112 - 2025-12-01835Icehogs-StarsF-
114 - 2025-12-03846StarsF-Monsters-
116 - 2025-12-05860StarsF-Icehogs-
117 - 2025-12-06870Condors-StarsF-
119 - 2025-12-08889StarsF-Icehogs-
121 - 2025-12-10904Wolves-StarsF-
125 - 2025-12-14930StarsF-Canucks-
126 - 2025-12-15937Monsters-StarsF-
130 - 2025-12-19959StarsF-Reign-
131 - 2025-12-20969Condors-StarsF-
134 - 2025-12-23995Eagles-StarsF-
136 - 2025-12-251004StarsF-Eagles-
138 - 2025-12-271026Griffins-StarsF-
140 - 2025-12-291038StarsF-Griffins-
144 - 2026-01-021061Roadrunners-StarsF-
147 - 2026-01-051078StarsF-Monsters-
149 - 2026-01-071089StarsF-Silver Knights-
150 - 2026-01-081097Roadrunners-StarsF-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-01-111119StarsF-Silver Knights-
155 - 2026-01-131128Canucks-StarsF-
159 - 2026-01-171155Admirals-StarsF-
161 - 2026-01-191172StarsF-Rocket-
162 - 2026-01-201186StarsF-Eagles-
164 - 2026-01-221193Phantoms-StarsF-
165 - 2026-01-231208StarsF-PenguinsF-
168 - 2026-01-261221Canucks-StarsF-
169 - 2026-01-271230StarsF-Thunderbirds-
173 - 2026-01-311256Silver Knights-StarsF-
175 - 2026-02-021265StarsF-Griffins-
176 - 2026-02-031269StarsF-Roadrunners-
180 - 2026-02-071292Silver Knights-StarsF-
183 - 2026-02-101305StarsF-Roadrunners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance7,6473,813
Assistance PCT95.59%95.33%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 2865 - 95.50% 121,003$484,010$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
289,780$ 2,885,000$ 2,885,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 281,138$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,477,092$ 169 16,135$ 2,726,815$




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
1Nikolai Kovalenko166628214477114219553611.57%40300718.12173653108022510748.64%00.9601
2Vitali Kravtsov1646178139375413514053011.51%30297918.17112233108000013651.09%10.93412
3Tyler Tucker1422475992016725013123110.39%161294620.751520351270000330%10.6724
4Michael Dal Colle16547378428439811536912.74%20231914.06107175600035249.69%00.7212
5Scott Perunovich1641663791578129951788.99%189331620.2251217550111310%00.4800

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
1Akira Schmid69432040.8953.1039268520319320400.76221
2Christopher Gibson52351020.9012.75288510013213340100.75020
3Evan Cowley64252280.8883.2533766318316380310.71428
4Colton Point32000.8943.601500098500000
5Olof Lindbom10000.8572.86420021400000

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
Saison régulière
158244210218631125358412190115416112932412312010321501242611531154585601125859117271690489788477235769753712982766523.55%2194579.45%31588303352.36%1417275851.38%710139350.97%2036140818806121086554
16823927074322982593941201303311136115214119140412116214418104298533831171131007513249180284680757244269462513732566525.39%2706775.19%11415281650.25%1396284449.09%685135150.70%1980136219156061075538
17724000011827-9413000001015-531100001812-45183250007650189666261320567329824729.17%15660.00%010722248.20%10721849.08%6312152.07%160111171519345
Total Saison régulière171855209511962753988864225044653072594885432705154320280402246271110173718245191171305396177218051752137500414581194276955613724.64%50411876.59%43110607151.23%2920582050.17%1458286550.89%417628823967127022551137
Séries éliminatoires
15514000001419-5312000001011-12020000048-42142539004730160556837018745329618211.11%16662.50%08717350.29%10120150.25%448055.00%11679119376331
1625169000007470413121000004525201248000002945-16327413721102302515482327629023324743209224418681217.65%942375.53%142289147.36%42989447.99%18838848.45%613421606189327163
Total Séries éliminatoires301713000008889-1161330000055361914410000003353-20348816225002343218498333135827024930254256514861416.28%1102973.64%1509106447.84%530109548.40%23246849.57%730501726226391195

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
1Semyon Der-Arguchintsev251014248214375817.24%444117.663361100001044.27%01.0900
2Vitali Kravtsov30914234820328410.71%754818.273582500002054.84%00.8400
3Miles Wood25712196204423897.87%746618.640551400002163.41%00.8200
4Cameron Crotty285141971023152817.86%3051318.3500000000000%00.7400
5Martin Pospisil259918102952347312.33%144417.77033700001044.86%00.8100

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
1Akira Schmid2415810.9072.651403026266900000
2Christopher Gibson31200.9073.481550099701000
3Evan Cowley61200.8903.76287001816400000