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Connexion

Stars
GP: 4 | W: 2 | L: 2 | OTL: 0 | P: 4
GF: 16 | GA: 22 | PP%: 85.71% | PK%: 68.75%
DG: Julien Desrosiers | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #83 vs Chiefs

Centre de jeu
Minnesota
1-4-0, 2pts
4
FINAL
6 Stars
2-2-0, 4pts
Team Stats
W1SéquenceL1
0-2-0Fiche domicile1-1-0
1-2-0Fiche domicile1-1-0
1-4-0Derniers 10 matchs2-2-0
3.60Buts par match 4.00
5.00Buts contre par match 5.50
12.50%Pourcentage en avantage numérique85.71%
54.55%Pourcentage en désavantage numérique68.75%
Comets
3-2-0, 6pts
8
FINAL
4 Stars
2-2-0, 4pts
Team Stats
L1SéquenceL1
1-1-0Fiche domicile1-1-0
2-1-0Fiche domicile1-1-0
3-2-0Derniers 10 matchs2-2-0
4.80Buts par match 4.00
3.40Buts contre par match 5.50
33.33%Pourcentage en avantage numérique85.71%
80.00%Pourcentage en désavantage numérique68.75%
Stars
2-2-0, 4pts
2025-10-18
Chiefs
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceL1
1-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs2-2-0
4.00Buts par match 4.00
5.50Buts contre par match 4.00
85.71%Pourcentage en avantage numérique11.11%
68.75%Pourcentage en désavantage numérique75.00%
Monsters
3-1-0, 6pts
2025-10-21
Stars
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceL1
1-1-0Fiche domicile1-1-0
2-0-0Fiche visiteur1-1-0
3-1-010 derniers matchs2-2-0
6.00Buts par match 4.00
3.50Buts contre par match 4.00
23.08%Pourcentage en avantage numérique85.71%
87.50%Pourcentage en désavantage numérique68.75%
Monarchs
3-2-0, 6pts
2025-10-23
Stars
2-2-0, 4pts
Statistiques d’équipe
L1SéquenceL1
0-2-0Fiche domicile1-1-0
3-0-0Fiche visiteur1-1-0
3-2-010 derniers matchs2-2-0
3.80Buts par match 4.00
4.00Buts contre par match 4.00
6.67%Pourcentage en avantage numérique85.71%
64.71%Pourcentage en désavantage numérique68.75%
Meneurs d'équipe
Buts
Albert Johansson
3
Passes
Xavier Simoneau
4
Points
Albert Johansson
5
Plus/Moins
Gavin White
1
Victoires
Spencer Knight
2
Pourcentage d’arrêts
Spencer Knight
0.844

Statistiques d’équipe
Buts pour
16
4.00 GFG
Tirs pour
98
24.50 Avg
Pourcentage en avantage numérique
85.7%
6 GF
Début de zone offensive
32.0%
Buts contre
22
5.50 GAA
Tirs contre
126
31.50 Avg
Pourcentage en désavantage numérique
68.8%%
5 GA
Début de la zone défensive
35.6%
Informations de l'équipe

Directeur généralJulien Desrosiers
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 50
Espoirs14


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
1Luca Del Bel Belluz (R)X100.00624173686362596461636160645050050610202860,000$
2Egor Afanasyev (R)XX100.00644664686959586143575664625150050600231789,167$
3Antonio Stranges (R)X100.00574271696064626345605857635150050590222700,000$
4Xavier Simoneau (R)X100.00585756675765636160625360605250050590231855,000$
5Aleksanteri Kaskimäki (R)X100.00594068626261606142615756605050050580203870,000$
6Kyle McDonald (R)X100.00624269606864625941535554585150050570221620,000$
7Lucas Ciona (R)X100.00644959606963626042575456585050050570211800,000$
8Parker Bell (R)X100.00624264586761605841545554575050050560213857,500$
9Kasper Halttunen (R)X100.00634062586555535540545457565050050550193876,667$
10Albert Johansson (R)X100.00674172786977696840636271695350050670231820,000$
11William Trudeau (R)X100.00654763676563626440605667635050050620211856,667$
12Hunter McDonald (R)X100.00665261656864626040575467595150050610221620,000$
13Gavin White (R)X100.00614072666363615940555365595050050600211800,000$
Rayé
1Linus Karlsson (R)XX100.00654176747075676842646364685650050640243700,000$
2Mike SgarbossaXX100.00584175686472726463635760638562050630321620,000$
3Gavin Hain (R)X100.00604170626363615752525355575250050560241620,000$
4Filip Cederqvist (R)XX100.00604369636658575640504958575150050550241850,000$
5Pavel Novak (R)X100.00564066626254535439515155565050050540222846,667$
6Brody Lamb (R)X100.00404040404040404040404040404040050410213675,000$
7Dmitri Rashevsky (R)X100.00373737373737373737373737373737050380233620,000$
8Connor CarrickX100.00575657726172716840636469686555050650301620,000$
9Alec Regula (R)X100.00614257576357555540545261555150050570242700,000$
10Jacob Truscott (R)X100.00525554545551515254515154535555050530222620,000$
MOYENNE D’ÉQUIPE100.0059446362626159584456545858525005057
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
1Spencer Knight (R)100.00818083768482808181827263580507302312,800,000$
2Ty Young (R)100.0067575763636466656562575050050580203825,000$
Rayé
1Devin Cooley100.0074676965706971677071635751050630272650,000$
2Philip Svedeback (R)100.0039625581354037373436365039050420221560,000$
MOYENNE D’ÉQUIPE100.006567667163646463636357555005059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Albert JohanssonStars (Dal)D4325-600881331223.08%611428.5620253101116200%025000.8800000100
2Xavier SimoneauStars (Dal)C414500011678614.29%16917.4601100000130048.65%3714001.4300000110
3Luca Del Bel BelluzStars (Dal)C4235-4206762433.33%26817.25022112133150057.89%3821001.4500000002
4Egor AfanasyevStars (Dal)C/LW4213-320134124416.67%27418.731121200004000%302000.8000000010
5Parker BellStars (Dal)LW4213-100651261016.67%26716.800000000000000%120000.8900000000
6Antonio StrangesStars (Dal)LW4112-6002492211.11%16315.9811252000240066.67%331000.6300000000
7Gavin WhiteStars (Dal)D41121204672114.29%88822.2110111011011000%032000.4500000000
8Hunter McDonaldStars (Dal)D4022020550510%59022.6901100011011000%102000.4400000000
9Kyle McDonaldStars (Dal)RW4112-4208342925.00%16917.401122200000000%301000.5700000000
10Aleksanteri KaskimäkiStars (Dal)C4112-4408915976.67%58020.0300000000000052.63%1923000.5000000000
11William TrudeauStars (Dal)D4101-42154350120.00%69624.130000200009000%018100.2100010000
12Lucas CionaStars (Dal)LW4011-255252130%25614.2200000000080020.00%510000.3500010000
13Kasper HalttunenStars (Dal)RW4000-13100355500%28721.9200000000000043.84%732300000000000
Statistiques d’équipe totales ou en moyenne52151833-465010807097496015.46%43102919.80671315183367862046.45%1831932100.6400020222
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
1Spencer KnightStars (Dal)42100.8444.2219900149042100040000
2Ty YoungStars (Dal)20100.77812.00400083622100004000
Statistiques d’équipe totales ou en moyenne62200.8255.5024000221266420044000


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
Albert JohanssonStars (Dal)D232001-01-04SWEYes168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Alec Regula (contrat à 1 volet)Stars (Dal)D242000-08-06USAYes218 Lbs6 ft4NoNoFree AgentNoYes22025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Aleksanteri KaskimäkiStars (Dal)C202004-02-06FINYes190 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Antonio Stranges (contrat à 1 volet)Stars (Dal)LW222002-02-05USAYes181 Lbs5 ft10NoNoFree AgentNoNo22025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Brody LambStars (Dal)RW212003-08-30USAYes185 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm675,000$0$0$No675,000$675,000$-------675,000$675,000$-------NoNo-------Lien
Connor CarrickStars (Dal)D301994-04-13USANo192 Lbs5 ft11NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Devin Cooley (contrat à 1 volet)Stars (Dal)G271997-05-25USANo192 Lbs6 ft5NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Dmitri RashevskyStars (Dal)RW232000-10-09RUSYes183 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Egor AfanasyevStars (Dal)C/LW232001-01-23RUSYes209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm789,167$0$0$No---------------------------Lien
Filip CederqvistStars (Dal)LW/RW242000-08-23SWEYes203 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Gavin HainStars (Dal)C242000-04-03USAYes194 Lbs6 ft0NoNoFree AgentNoYes12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Gavin WhiteStars (Dal)D212002-11-12CANYes185 Lbs6 ft0NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Hunter McDonaldStars (Dal)D222002-05-11USAYes205 Lbs6 ft4NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Jacob TruscottStars (Dal)D222002-04-12USAYes185 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Kasper HalttunenStars (Dal)RW192005-06-07FINYes207 Lbs6 ft3NoNoDraftNoNo32025-07-10FalseFalsePro & Farm876,667$0$0$No876,667$876,667$-------876,667$876,667$-------NoNo-------Lien
Kyle McDonaldStars (Dal)RW222002-02-05CANYes207 Lbs6 ft4NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Linus Karlsson (contrat à 1 volet)Stars (Dal)C/RW241999-11-16SWEYes178 Lbs6 ft1NoNoFree AgentNoYes32025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------Lien
Luca Del Bel BelluzStars (Dal)C202003-11-10CANYes183 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm860,000$0$0$No860,000$--------860,000$--------No--------Lien
Lucas CionaStars (Dal)LW212003-01-08CANYes209 Lbs6 ft3NoNoFree AgentNoNo12024-09-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Mike SgarbossaStars (Dal)C/RW321992-07-25CANNo183 Lbs6 ft0NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Parker BellStars (Dal)LW212003-09-26CANYes209 Lbs6 ft5NoNoProspectNoNo32025-07-10FalseFalsePro & Farm857,500$0$0$No857,500$857,500$-------857,500$857,500$-------NoNo-------Lien
Pavel NovakStars (Dal)RW222002-04-16CZEYes183 Lbs5 ft10NoNoTrade2025-03-01NoNo22024-06-25FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Lien
Philip SvedebackStars (Dal)G222002-05-28SWEYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Spencer KnightStars (Dal)G232001-04-19USAYes191 Lbs6 ft3NoNoFree AgentNoNo12024-09-11FalseFalsePro & Farm2,800,000$0$0$No---------------------------Lien
Ty YoungStars (Dal)G202004-09-11CANYes183 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
William TrudeauStars (Dal)D212002-10-11CANYes205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm856,667$0$0$No---------------------------Lien
Xavier SimoneauStars (Dal)C232001-05-19CANYes179 Lbs5 ft7NoNoTrade2025-03-01NoNo1FalseFalsePro & Farm855,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.81193 Lbs6 ft11.74815,988$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor AfanasyevKyle McDonald40122
2Antonio StrangesLuca Del Bel Belluz30122
3Lucas CionaXavier SimoneauKasper Halttunen20122
4Parker BellAleksanteri Kaskimäki10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonWilliam Trudeau40122
2Hunter McDonaldGavin White30122
3Aleksanteri Kaskimäki20122
4Albert JohanssonWilliam Trudeau10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Egor AfanasyevKyle McDonald60122
2Antonio StrangesLuca Del Bel Belluz40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonWilliam Trudeau60122
2Hunter McDonaldGavin White40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel Belluz60122
2Egor AfanasyevAntonio Stranges40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonWilliam Trudeau60122
2Hunter McDonaldGavin White40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Albert JohanssonWilliam Trudeau60122
2Luca Del Bel Belluz40122Hunter McDonaldGavin White40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luca Del Bel Belluz60122
2Egor AfanasyevAntonio Stranges40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Albert JohanssonWilliam Trudeau60122
2Hunter McDonaldGavin White40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor AfanasyevKyle McDonaldAlbert JohanssonWilliam Trudeau
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Egor AfanasyevKyle McDonaldAlbert JohanssonWilliam Trudeau
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Xavier Simoneau, Lucas Ciona, Xavier SimoneauLucas Ciona
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Hunter McDonald, Gavin WhiteHunter McDonald, Gavin White
Tirs de pénalité
, Luca Del Bel Belluz, Egor Afanasyev, Antonio Stranges, Xavier Simoneau
Gardien
#1 : Spencer Knight, #2 : Ty Young


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
1Comets1010000048-41010000048-40000000000000.0004610004660263527360381581911100.00%4250.00%0257035.71%387848.72%377152.11%723488367839
2Minnesota11000000642110000006420000000000021.000691500466026352736024782033100.00%4175.00%1257035.71%387848.72%377152.11%723488367839
3Monsters11000000422000000000001100000042221.000459004660203527360251382111100.00%4175.00%1257035.71%387848.72%377152.11%723488367839
4Oceanics1010000028-6000000000001010000028-600.000235004660263527360391128282150.00%4175.00%1257035.71%387848.72%377152.11%723488367839
Total422000001622-6211000001012-221100000610-440.5001623390046609835273601264652887685.71%16568.75%3257035.71%387848.72%377152.11%723488367839
_Since Last GM Reset422000001622-6211000001012-221100000610-440.5001623390046609835273601264652887685.71%16568.75%3257035.71%387848.72%377152.11%723488367839
_Vs Conference3210000014140211000001012-21100000042240.6671420340046607235273608735246055100.00%12466.67%2257035.71%387848.72%377152.11%723488367839
_Vs Division311000001214-21010000064221000000610-420.333121729004660723527360883144696583.33%12375.00%3257035.71%387848.72%377152.11%723488367839

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
44L11623399812646528800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
42200001622
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
21100001012
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2110000610
Derniers 10 matchs
WLOTWOTL SOWSOL
220000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
7685.71%16568.75%3
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
35273604660
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
257035.71%387848.72%377152.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
723488367839


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 - 2025-10-0917Stars2Oceanics8LSommaire du match
5 - 2025-10-1134Stars4Monsters2WSommaire du match
8 - 2025-10-1454Minnesota4Stars6WSommaire du match
10 - 2025-10-1668Comets8Stars4LSommaire du match
12 - 2025-10-1883Stars-Chiefs-
15 - 2025-10-21106Monsters-Stars-
17 - 2025-10-23119Monarchs-Stars-
19 - 2025-10-25138Caroline-Stars-
20 - 2025-10-26145Stars-Jayhawks-
22 - 2025-10-28159Bears-Stars-
24 - 2025-10-30169Stars-Thunder-
26 - 2025-11-01185Stars-Cabaret Lady Mary Ann-
29 - 2025-11-04207Oil Kings-Stars-
31 - 2025-11-06224Admirals-Stars-
33 - 2025-11-08233Stars-Jayhawks-
34 - 2025-11-09248Firebirds-Stars-
36 - 2025-11-11258Stars-Senators-
38 - 2025-11-13270Stars-Rocket-
40 - 2025-11-15293Phantoms-Stars-
43 - 2025-11-18310Sound Tigers-Stars-
45 - 2025-11-20328Stars-Comets-
47 - 2025-11-22345Stars-Heat-
50 - 2025-11-25360Stars-Oil Kings-
51 - 2025-11-26375Stars-Firebirds-
53 - 2025-11-28390Roadrunners-Stars-
55 - 2025-11-30405Senators-Stars-
57 - 2025-12-02415Stars-Wolf Pack-
58 - 2025-12-03421Stars-Spiders-
60 - 2025-12-05438Sags-Stars-
62 - 2025-12-07456Manchots-Stars-
64 - 2025-12-09473Stars-Oceanics-
66 - 2025-12-11488Stars-Minnesota-
68 - 2025-12-13505Cabaret Lady Mary Ann-Stars-
70 - 2025-12-15518Monarchs-Stars-
73 - 2025-12-18543Stars-Sags-
74 - 2025-12-19548Stars-Admirals-
76 - 2025-12-21568Marlies-Stars-
78 - 2025-12-23579Stars-Cougars-
82 - 2025-12-27596Baby Hawks-Stars-
86 - 2025-12-31628Crunch-Stars-
87 - 2026-01-01637Stars-Baby Hawks-
90 - 2026-01-04657Rocket-Stars-
92 - 2026-01-06671Stars-Caroline-
93 - 2026-01-07677Stars-Bears-
96 - 2026-01-10700Stars-Sags-
98 - 2026-01-12724Stars-Monarchs-
99 - 2026-01-13734Stars-Admirals-
101 - 2026-01-15746Stars-Roadrunners-
104 - 2026-01-18767Thunder-Stars-
106 - 2026-01-20783Bruins-Stars-
108 - 2026-01-22797Stars-Monsters-
109 - 2026-01-23804Chiefs-Stars-
113 - 2026-01-27836Stars-Chiefs-
115 - 2026-01-29856Stars-Las Vegas-
117 - 2026-01-31870Stars-Roadrunners-
119 - 2026-02-02882Oceanics-Stars-
121 - 2026-02-04899Chiefs-Stars-
142 - 2026-02-25913Firebirds-Stars-
145 - 2026-02-28945Jayhawks-Stars-
147 - 2026-03-02956Stars-Comets-
148 - 2026-03-03965Stars-Heat-
151 - 2026-03-06984Monsters-Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081004Baby Hawks-Stars-
155 - 2026-03-101020Las Vegas-Stars-
157 - 2026-03-121034Oil Kings-Stars-
159 - 2026-03-141053Cougars-Stars-
161 - 2026-03-161066Roadrunners-Stars-
163 - 2026-03-181080Stars-Monsters-
166 - 2026-03-211101Stars-Minnesota-
167 - 2026-03-221115Las Vegas-Stars-
169 - 2026-03-241130Spiders-Stars-
171 - 2026-03-261141Stars-Sound Tigers-
173 - 2026-03-281156Stars-Manchots-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311178Stars-Bruins-
178 - 2026-04-021198Oceanics-Stars-
180 - 2026-04-041209Monsters-Stars-
183 - 2026-04-071239Heat-Stars-
185 - 2026-04-091254Minnesota-Stars-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151301Stars-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2010
Assistance3,9912,000
Assistance PCT99.78%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2996 - 99.85% 59,892$119,784$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
109,901$ 1,928,168$ 1,928,168$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,991$ 109,901$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,335,788$ 182 9,991$ 1,818,362$




Stars 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

Stars 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

Stars 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

Stars 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

Stars 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