Essayer le nouveau site
Please rotate your device to landscape mode for a better experience.
Connexion

StarsF
GP: 6 | W: 1 | L: 4 | OTL: 1 | P: 3
GF: 15 | GA: 25 | PP%: 30.43% | PK%: 60.00%
DG: Julien Gagné | Morale : 45 | Moyenne d’équipe : 63
Prochains matchs #111 vs Reign

Centre de jeu
Eagles
5-2-0, 10pts
5
FINAL
2 StarsF
1-4-1, 3pts
Team Stats
W4SéquenceSOL1
2-1-0Fiche domicile0-3-0
3-1-0Fiche domicile1-1-1
5-2-0Derniers 10 matchs1-4-1
4.00Buts par match 2.50
2.71Buts contre par match 4.17
28.57%Pourcentage en avantage numérique30.43%
68.75%Pourcentage en désavantage numérique60.00%
StarsF
1-4-1, 3pts
3
FINAL
4 Thunderbirds
5-1-0, 10pts
Team Stats
SOL1SéquenceSOW1
0-3-0Fiche domicile4-0-0
1-1-1Fiche domicile1-1-0
1-4-1Derniers 10 matchs5-1-0
2.50Buts par match 4.17
4.17Buts contre par match 3.00
30.43%Pourcentage en avantage numérique30.00%
60.00%Pourcentage en désavantage numérique81.25%
Reign
2-4-0, 4pts
2025-08-27
StarsF
1-4-1, 3pts
Statistiques d’équipe
L1SéquenceSOL1
1-3-0Fiche domicile0-3-0
1-1-0Fiche visiteur1-1-1
2-4-010 derniers matchs1-4-1
2.83Buts par match 2.50
3.00Buts contre par match 2.50
34.78%Pourcentage en avantage numérique30.43%
69.23%Pourcentage en désavantage numérique60.00%
Icehogs
8-0-0, 16pts
2025-08-30
StarsF
1-4-1, 3pts
Statistiques d’équipe
W2SéquenceSOL1
3-0-0Fiche domicile0-3-0
5-0-0Fiche visiteur1-1-1
8-0-010 derniers matchs1-4-1
3.88Buts par match 2.50
1.88Buts contre par match 2.50
25.93%Pourcentage en avantage numérique30.43%
72.22%Pourcentage en désavantage numérique60.00%
StarsF
1-4-1, 3pts
2025-09-01
Iowa Wild
3-4-0, 6pts
Statistiques d’équipe
SOL1SéquenceW1
0-3-0Fiche domicile2-1-0
1-1-1Fiche visiteur1-3-0
1-4-110 derniers matchs3-4-0
2.50Buts par match 3.86
4.17Buts contre par match 3.86
30.43%Pourcentage en avantage numérique18.75%
60.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Buts
Vasily Podkolzin
4
Passes
Nikolai Kovalenko
4
Points
Vasily Podkolzin
7
Plus/Moins
Taro Hirose
0
Victoires
Evan Cowley
1
Pourcentage d’arrêts
Evan Cowley
0.865

Statistiques d’équipe
Buts pour
15
2.50 GFG
Tirs pour
166
27.67 Avg
Pourcentage en avantage numérique
30.4%
7 GF
Début de zone offensive
40.9%
Buts contre
25
4.17 GAA
Tirs contre
177
29.50 Avg
Pourcentage en désavantage numérique
60.0%%
6 GA
Début de la zone défensive
38.0%
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
Assistance2,821
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 56
Espoirs60


Historique d'équipe

Saison actuelle1-4-1 (3PTS)
Historique104-52-18 (0.598%)
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
1Nikolai Kovalenko (A)XX96.0066458975707676756571727763625662476702522,000,000$
2Vasily Podkolzin (R)XX100.007450878070769077617270757065457047670243900,000$
3Logan BrownXXX100.0063469272757283747472727472645358476602721,700,000$
4Michael Dal ColleXX100.0064459371727186726868717066685555476502921,300,000$
5Nicholas CaamanoXX99.006845917272747370696569726356525647640271750,000$
6Justin KirklandXXX96.0066469773716773707866667261585157476402912,000,000$
7Jere LassilaX99.006945807367727270747166685853507947640212750,000$
8Ruslan GazizovXX99.006045877469677473706765705957497547630211750,000$
9Patrik PuistolaXX100.005945877368717267616867666053496647620242750,000$
10Jamieson Rees (R)XXX100.006945857267707065706862705645457047620243750,000$
11Maxim Cajkovic (R)XX100.006645857268707068606768686145457047620243750,000$
12Victor MeteX100.0061459376677888734576647456775156476702722,000,000$
13Matthew KesselX99.0065458974747674724570657363534666476502515,000,000$
14Scott PerunovichX100.006444917266737466456767725657505647640271750,000$
15Kristians RubinsX100.0072448872757273664563667254544753476402831,200,000$
16Cameron CrottyX100.006339877270707465456759744557525947630261750,000$
17Ludvig Jansson (R)X100.007045807267707069456560735445458047620213750,000$
Rayé
1Kyle CliffordXX100.0070459270766967705869656763895926446603411,500,000$
2Benjamin BaumgartnerX98.216345877366697270737067686048456637630252750,000$
3Taro HiroseXX100.006045937167718067646563676158515844620293900,000$
4Tyler WeissXX100.007049767365687267626663665853506644610252750,000$
5Denis SmirnovXX100.005542857266666758665655665954515444580281500,000$
6Dysin MayoX100.006544867270717363456262685967555344630291900,000$
7Layton AhacX100.006745887372696968456158745245456644620242750,000$
8Zach Uens (R)X100.006960707270707064456362675645457044610243750,000$
MOYENNE D’ÉQUIPE99.44664687737071746959676571595750624663
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 Cowley96.007571737979788479798278656354436603021,700,000$
2Olof Lindbom (R)100.00807878777776787675777745457048620253750,000$
Rayé
1Will Cranley (R)100.00767575797574757675767745457047610233750,000$
MOYENNE D’ÉQUIPE98.6777757578777679777678775251654663
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/RW6437-420471772423.53%210918.21325619000000057.14%700001.2801000100
2Nikolai KovalenkoStarsF (Dal)LW/RW6044-420872310230%111519.27033319000000042.86%700000.6901000000
3Jere LassilaStarsF (Dal)C6044-2201089470%010818.07011218000000052.85%12300000.7400000000
4Kristians RubinsStarsF (Dal)D6224-1407360433.33%813021.80112519000010000%000000.6100000010
5Nicholas CaamanoStarsF (Dal)LW/RW6213-2005693622.22%210617.68000020000100057.14%700000.5700000000
6Matthew KesselStarsF (Dal)D6033-800828570%913322.2103331800004000%000000.4500000000
7Victor MeteStarsF (Dal)D6123-84064105610.00%413121.8312381800003000%000000.4600000000
8Ruslan GazizovStarsF (Dal)LW/RW6213-200371141118.18%010617.67101217000000020.00%500000.5700000000
9Logan BrownStarsF (Dal)C/LW/RW6213-400215204710.00%011018.41101519000000055.56%14400000.5401000000
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/RW6101-20015142100.00%1498.200000000000100%200000.4100000000
13Michael Dal ColleStarsF (Dal)LW/RW6011-2002410250%18414.12000000000100071.43%700000.2400000000
14Jamieson ReesStarsF (Dal)C/LW/RW5011-200202030%15210.44000000000100030.00%2000000.3800000000
15Scott PerunovichStarsF (Dal)D6000-120453250%910717.9600003000013000%00000000000000
16Justin KirklandStarsF (Dal)C/LW/RW6000-1004810340%08914.89000270000110040.45%890000000000000
17Benjamin BaumgartnerStarsF (Dal)C5000-300215250%05010.14000110000010053.85%520000000000000
18Cameron CrottyStarsF (Dal)D6000-160823100%710016.740000000009000%00000000000000
19Kyle CliffordStarsF (Dal)LW/RW2000020011020%02613.2800000000000038.46%260000000000000
20Dysin MayoStarsF (Dal)D2000020321010%13417.070000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne107152843-503008494166591309.04%52179316.7671320401930000911049.59%49000000.4803000111
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)61410.8654.1132100221630000.667360010
2Olof LindbomStarsF (Dal)10000.8572.8642002140000006000
Statistiques d’équipe totales ou en moyenne71410.8643.963640024177000366010


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 KirklandStarsF (Dal)C/LW/RW291996-08-02CANNo183 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------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 KovalenkoStarsF (Dal)LW/RW251999-10-17USANo180 Lbs5 ft10NoNoN/ANoNo22025-05-28FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------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
1Nikolai KovalenkoLogan BrownVasily Podkolzin30023
2Ruslan GazizovJere LassilaNicholas Caamano30122
3Michael Dal ColleMaxim Cajkovic25122
4Patrik PuistolaJustin KirklandJamieson 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
1Nikolai KovalenkoLogan 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
1Justin KirklandMichael 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
1Justin Kirkland50140Victor MeteMatthew Kessel50122
2Jamieson Rees50140Scott PerunovichKristians Rubins50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownVasily Podkolzin50122
2Jere LassilaNikolai Kovalenko50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor MeteMatthew Kessel50122
2Scott PerunovichKristians Rubins50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai KovalenkoLogan BrownVasily PodkolzinVictor MeteMatthew Kessel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nikolai KovalenkoLogan BrownVasily PodkolzinVictor MeteMatthew Kessel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Kirkland, Nicholas Caamano, Jere LassilaJustin Kirkland, Nicholas CaamanoJustin Kirkland
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristians Rubins, Cameron Crotty, Ludvig JanssonKristians RubinsKristians Rubins, Cameron Crotty
Tirs de pénalité
Nikolai Kovalenko, Vasily Podkolzin, Logan Brown, Michael Dal Colle, Justin Kirkland
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
1Condors1010000026-4000000000001010000026-400.0002460075302359545331946185120.00%30100.00%09719948.74%9418550.81%5210350.49%13895145448039
2Eagles1010000025-31010000025-30000000000000.00024600753024595453330910135120.00%5340.00%09719948.74%9418550.81%5210350.49%13895145448039
3Icehogs1010000013-21010000013-20000000000000.00011200753029595453322114105120.00%2150.00%09719948.74%9418550.81%5210350.49%13895145448039
4Silver Knights211000007701010000045-11100000032120.5007142100753062595453367208246350.00%4250.00%09719948.74%9418550.81%5210350.49%13895145448039
5Thunderbirds1000000134-1000000000001000000134-110.5003580075302859545333982192150.00%10100.00%09719948.74%9418550.81%5210350.49%13895145448039
Total614000011525-1030300000713-631100001812-430.250152843007530166595453317752308423730.43%15660.00%09719948.74%9418550.81%5210350.49%13895145448039
_Since Last GM Reset614000011525-1030300000713-631100001812-430.250152843007530166595453317752308423730.43%15660.00%09719948.74%9418550.81%5210350.49%13895145448039
_Vs Conference614000011525-1030300000713-631100001812-430.250152843007530166595453317752308423730.43%15660.00%09719948.74%9418550.81%5210350.49%13895145448039

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
63SOL115284316617752308400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
61400011525
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000713
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3110001812
Derniers 10 matchs
WLOTWOTL SOWSOL
140001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23730.43%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
59545337530
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
9719948.74%9418550.81%5210350.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13895145448039


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 - 2025-08-27111Reign-StarsF-
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
Assistance5,6512,813
Assistance PCT94.18%93.77%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2821 - 94.04% 119,190$357,569$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
255,348$ 3,285,000$ 3,285,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 247,786$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,529,207$ 171 18,297$ 3,128,787$




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 Kovalenko165628214467114119553511.59%39298418.09173653108022510749.08%00.9601
2Vitali Kravtsov1646178139375413514053011.51%30297918.17112233108000013651.09%10.93412
3Tyler Tucker1422475992016725013123110.39%161294620.751520351270000330%10.6724
4Michael Dal Colle16447378427439711436912.74%20230414.05107175600035249.38%00.7312
5Scott Perunovich1631563781478129951748.62%187329820.2351217550111310%00.4700

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 Cowley63242280.8883.2833166318116100310.71428
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
17614000011525-1030300000713-631100001812-43152843007530166595453317752308423730.43%15660.00%09719948.74%9418550.81%5210350.49%13895145448039
Total Saison régulière170845209511962453787854125044653042574785432705154320280402226241106173018245190169305373176517971744137497614431192275555513724.68%50411876.59%43100604851.26%2907578750.23%1447284750.83%415428663941126222421131
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