Stars
GP: 29 | W: 12 | L: 15 | OTL: 2 | P: 26
GF: 109 | GA: 121 | PP%: 25.00% | PK%: 67.42%
DG: Alexandre Huet | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #456 vs Penguins
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Centre de jeu
Stars
12-15-2, 26pts
2
FINAL
3 Devils
18-9-2, 38pts
Team Stats
W1StreakW8
5-8-1Home Record10-3-1
7-7-1Away Record8-6-1
4-6-0Last 10 Games9-1-0
3.76Buts par match 4.21
4.17Buts contre par match 3.93
25.00%Pourcentage en avantage numérique34.15%
67.42%Pourcentage en désavantage numérique77.50%
Barracuda
20-6-3, 43pts
5
FINAL
7 Stars
12-15-2, 26pts
Team Stats
L1StreakW1
12-3-2Home Record5-8-1
8-3-1Away Record7-7-1
8-2-0Last 10 Games4-6-0
4.86Buts par match 3.76
3.34Buts contre par match 4.17
31.73%Pourcentage en avantage numérique25.00%
77.65%Pourcentage en désavantage numérique67.42%
Penguins
18-8-0, 36pts
2025-12-07
Stars
12-15-2, 26pts
Statistiques d’équipe
L1SéquenceW1
9-3-0Fiche domicile5-8-1
9-5-0Fiche visiteur7-7-1
7-3-010 derniers matchs4-6-0
3.96Buts par match 3.76
2.88Buts contre par match 4.17
25.32%Pourcentage en avantage numérique25.00%
76.84%Pourcentage en désavantage numérique67.42%
Stars
12-15-2, 26pts
2025-12-09
Moose
14-13-1, 29pts
Statistiques d’équipe
W1SéquenceL5
5-8-1Fiche domicile6-5-1
7-7-1Fiche visiteur8-8-0
4-6-010 derniers matchs4-5-1
3.76Buts par match 3.50
4.17Buts contre par match 3.82
25.00%Pourcentage en avantage numérique23.33%
67.42%Pourcentage en désavantage numérique73.13%
Stars
12-15-2, 26pts
2025-12-11
Wild
6-18-5, 17pts
Statistiques d’équipe
W1SéquenceOTL1
5-8-1Fiche domicile3-9-3
7-7-1Fiche visiteur3-9-2
4-6-010 derniers matchs5-3-2
3.76Buts par match 2.90
4.17Buts contre par match 4.86
25.00%Pourcentage en avantage numérique18.75%
67.42%Pourcentage en désavantage numérique75.73%
Meneurs d'équipe
Jonny BrodzinskiButs
Jonny Brodzinski
6
Jonny BrodzinskiPasses
Jonny Brodzinski
11
Jonny BrodzinskiPoints
Jonny Brodzinski
17
Jonny BrodzinskiPlus/Moins
Jonny Brodzinski
7
Tristan LennoxVictoires
Tristan Lennox
11
Jordan PapirnyPourcentage d’arrêts
Jordan Papirny
0.936

Statistiques d’équipe
Buts pour
109
3.76 GFG
Tirs pour
1008
34.76 Avg
Pourcentage en avantage numérique
25.0%
25 GF
Début de zone offensive
42.1%
Buts contre
121
4.17 GAA
Tirs contre
992
34.21 Avg
Pourcentage en désavantage numérique
67.4%
29 GA
Début de la zone défensive
37.0%
Information d’équipe

Directeur généralAlexandre Huet
EntraîneurKarl Taylor
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,667
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure18
Limite contact 45 / 80
Espoirs33


Historique d'équipe

Saison actuelle12-15-2 (26PTS)
Historique67-32-12 (0.604%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)8-7
Stanley Cup0


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 moyen
1Jani Nyman (R)0X100.00723984678389736866646963716266075660213950,000$
2Taylor Raddysh (R)0X100.006937926783848964556661635869680756502732,063,000$
3Sam Gagner0XXX100.00633793647286716574665864677678075640362750,000$
4John Farinacci (R)0X100.00733694657277846371646162656466075640242950,000$
5Garrett Pilon (R)0X100.00643982637382846270665860636772075630273750,000$
6Justin Robidas (R)0X100.00633595646685736371626160656264075620223950,000$
7Curtis Douglas (R)0X100.00908251579975825564575663566567075620252750,000$
8Martin Chromiak (R)0X100.00633790617284865862605957616365075610231950,000$
9Jared Davidson (R)0X100.00633976617084805966586257616465075610232950,000$
10Gabriel Dumont40XX100.00605472606981715865596056587580075610352999,999$
11Jacob MacDonald0X100.00703978677586796530636866587274075660322750,000$
12Ryker Evans (R)0X100.00734082697388856830736064526566075660231950,000$
13Caleb Jones82X100.00723886657679766330705862506970075640282887,000$
14Scott Perunovich (R)0X100.006333926965867668307554625167690756402711,150,000$
15Nolan Allan (R)0X100.00705473657982836330645766496264075630222950,000$
16Adam Ginning (R)0X100.00734269608380865930625864516567075620251950,000$
17Cameron Crotty (R)0X100.00714078628070835930605861496670075620262810,000$
18Tobias Bjornfot33X100.006838876074797559305855615064660756102411,052,000$
Rayé
1Tanner Laczynski0X100.00663884657884786672636462666870075640283950,000$
2Chaz Lucius (R)0X100.00653791627478675969615558566264075610221950,000$
3Alex Campbell (R)0X100.00623695567174645552565754536366075590243950,000$
4Julian Lutz (R)0X100.00653792587467685659575355546163075590213950,000$
5Samuel Savoie (R)0X100.00573788586879735758565554576163075580213950,000$
6Jeremy Davies0X100.00593973606880865930655657496971075610283750,000$
7Rodwin Dionicio (R)0X100.00714659598068635630555860486163075590213950,000$
MOYENNE D’ÉQUIPE100.0067418263758077615162596057666807562
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 moyen
1Jordan Papirny100.0059736871585759585759586983075570291950,000$
2Tristan Lennox (R)100.0059726882585759585759586369075570223950,000$
Rayé
MOYENNE D’ÉQUIPE100.005973687758575958575958667607557
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Karl Taylor72737164837868CAN542500,000$


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
1Jani NymanStars (DAL)RW29141630226071881293610310.85%973325.2916715850002782155.56%21600000.8201000223
2Taylor RaddyshStars (DAL)RW2917133021204551117287514.53%859020.3533620770001372054.44%9000001.0201000032
3Sam GagnerStars (DAL)C/LW/RW29131629440233891298014.29%1465522.5944816851011540250.00%5000010.8900000210
4Tanner LaczynskiStars (DAL)C22917264100285568285713.24%440718.502579460000231154.62%48700001.2811000101
5Garrett PilonStars (DAL)C296182412037457424658.11%860020.7225712770000150148.57%10500000.8001000020
6Caleb JonesStars (DAL)D2331821718024243519108.57%2150822.111451341000137000.00%000000.8300000001
7Scott PerunovichStars (DAL)D2321719-44021363310186.06%2751422.381341450011041200.00%000000.7400000110
8Nolan AllanStars (DAL)D2961117-714067413692016.67%4359320.474481650011065010.00%000000.5700000110
9Jonny BrodzinskiStarsC/LW/RW126111774014416514579.23%327723.160337330001132060.93%38900001.2200000012
10John FarinacciStars (DAL)C294812-142016597425695.41%142414.64022730000000053.27%53500000.5700000000
11Cameron CrottyStars (DAL)D293912-660422930141710.00%3551817.872351266000147000.00%000000.4600000010
12Ryker EvansStars (DAL)D1301010-840111111480.00%1723818.34022319000017000.00%000000.8400000001
13Justin RobidasStars (DAL)C296410-130052853183911.32%339213.5400000000000046.88%3200000.5100000000
14Adam GinningStars (DAL)D27279824047132815167.14%2645816.9800032100013410100.00%100000.3900000001
15Jacob MacDonaldStars (DAL)D24279-1203118296116.90%1625010.44112628000023200.00%000000.7200000100
16Jared DavidsonStars (DAL)C27268-1601725222209.09%02137.9100000000020049.43%26500000.7500000001
17Gabriel DumontStars (DAL)C/RW2733622020192961110.34%02439.0100000000000053.70%27000000.4900000010
18Martin ChromiakStars (DAL)RW291122004732233.33%1561.95000000000290050.00%4800000.7100000000
19Curtis DouglasStars (DAL)C29011-125915110164618360.00%137913.08011247000000050.36%13700000.0500102000
20Chaz LuciusStars (DAL)C13000000101100.00%0100.7900001000040050.00%400000.0000000000
21Tobias BjornfotStars (DAL)D15000-42012816570.00%215610.4400061500000000.00%000000.0000000000
22Jeremy DaviesStars (DAL)D11000000100000.00%000.060000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne52799193292-312011564765299031372110.00%239822515.61214667161781123852712654.01%262900010.711410281312
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
1Tristan LennoxStars (DAL)29111520.8734.331606411169140201.0004290001
2Jordan PapirnyStars (DAL)51000.9362.14140005780000.0000029000
Statistiques d’équipe totales ou en moyenne34121520.8784.161746411219920201.00042929001


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam GinningStars (DAL)D252000-01-13Yes196 Lbs6 ft3NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Alex CampbellStars (DAL)LW242001-02-27Yes182 Lbs6 ft0NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Caleb JonesStars (DAL)D281997-06-06No194 Lbs6 ft1NoNoYes2Pro & Farm887,000$605,193$887,000$605,193$0$0$No887,000$Lien / Lien NHL
Cameron CrottyStars (DAL)D261999-05-05Yes182 Lbs6 ft3NoNoNo2Pro & Farm810,000$552,656$810,000$552,656$0$0$No810,000$Lien / Lien NHL
Chaz LuciusStars (DAL)C222003-05-02Yes185 Lbs6 ft1NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Curtis DouglasStars (DAL)C252000-03-06Yes235 Lbs6 ft9NoNoNo2Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$Lien / Lien NHL
Gabriel DumontStars (DAL)C/RW351990-10-06No195 Lbs5 ft10NoNoNo2Pro & Farm999,999$682,291$999,999$682,291$0$0$No999,999$Lien / Lien NHL
Garrett PilonStars (DAL)C271998-04-13Yes191 Lbs6 ft0NoNoNo3Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$750,000$Lien / Lien NHL
Jacob MacDonaldStars (DAL)D321993-02-26No204 Lbs6 ft0NoNoNo2Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$Lien / Lien NHL
Jani NymanStars (DAL)RW212004-07-30Yes212 Lbs6 ft2NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Jared DavidsonStars (DAL)C232002-07-07Yes188 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Jeremy DaviesStars (DAL)D281996-12-04No180 Lbs5 ft11NoNoNo3Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$750,000$Lien / Lien NHL
John FarinacciStars (DAL)C242001-02-14Yes197 Lbs5 ft11NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Jordan PapirnyStars (DAL)G291996-04-10No169 Lbs6 ft1NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Julian LutzStars (DAL)LW212004-02-29Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Justin RobidasStars (DAL)C222003-03-13Yes176 Lbs5 ft8NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Martin ChromiakStars (DAL)RW232002-08-20Yes187 Lbs6 ft0NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Nolan AllanStars (DAL)D222003-04-28Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$Lien / Lien NHL
Rodwin DionicioStars (DAL)D212004-03-30Yes196 Lbs6 ft2NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Ryker EvansStars (DAL)D232001-12-13Yes195 Lbs6 ft0NoNoNo1Pro & Farm950,000$648,177$950,000$648,177$0$0$NoLien / Lien NHL
Sam GagnerStars (DAL)C/LW/RW361989-08-10No200 Lbs5 ft11NoNoNo2Pro & Farm750,000$511,719$750,000$511,719$0$0$No750,000$Lien / Lien NHL
Samuel SavoieStars (DAL)LW212004-03-25Yes189 Lbs5 ft10NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Scott PerunovichStars (DAL)D271998-08-18Yes175 Lbs5 ft10NoNoYes1Pro & Farm1,150,000$784,635$1,150,000$784,635$0$0$NoLien / Lien NHL
Tanner LaczynskiStars (DAL)C281997-06-01No205 Lbs6 ft1NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Taylor RaddyshStars (DAL)RW271998-02-18Yes200 Lbs6 ft3NoNoNo3Pro & Farm2,063,000$1,407,568$2,063,000$1,407,568$0$0$No2,063,000$2,063,000$Lien / Lien NHL
Tobias Bjornfot (contrat à 1 volet)Stars (DAL)D242001-04-06No200 Lbs6 ft0NoNoNo1Pro & Farm1,052,000$717,771$1,052,000$717,771$1,052,000$717,771$NoLien / Lien NHL
Tristan LennoxStars (DAL)G222002-10-21Yes193 Lbs6 ft3NoNoNo3Pro & Farm950,000$648,177$950,000$648,177$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.41193 Lbs6 ft12.15959,704$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam GagnerGabriel DumontJani Nyman40122
2Garrett PilonJared DavidsonTaylor Raddysh30122
3Justin RobidasJohn FarinacciCurtis Douglas20122
4Jani NymanGarrett PilonTaylor Raddysh10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Caleb JonesAdam Ginning40122
2Scott PerunovichNolan Allan30122
3Cameron CrottyRyker Evans20122
4Scott PerunovichCaleb Jones10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam GagnerCurtis DouglasJani Nyman60122
2Garrett PilonJohn FarinacciTaylor Raddysh40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron CrottyScott Perunovich60122
2Nolan AllanCaleb Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jani NymanSam Gagner60122
2Taylor RaddyshGarrett Pilon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nolan AllanScott Perunovich60122
2Cameron CrottyCaleb Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jani Nyman60122Scott PerunovichCaleb Jones60122
2Taylor Raddysh40122Cameron CrottyNolan Allan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jani NymanSam Gagner60122
2Taylor RaddyshCurtis Douglas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCameron Crotty60122
2Caleb JonesNolan Allan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam GagnerTaylor RaddyshJani NymanScott PerunovichCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam GagnerTaylor RaddyshJani NymanScott PerunovichCaleb Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Curtis Douglas, Jani Nyman, Martin ChromiakCurtis Douglas, Jani NymanMartin Chromiak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Crotty, Scott Perunovich, Caleb JonesCameron CrottyCameron Crotty, Scott Perunovich
Tirs de pénalité
Jani Nyman, Garrett Pilon, Taylor Raddysh, Sam Gagner, John Farinacci
Gardien
#1 : Tristan Lennox, #2 : Jordan Papirny
Lignes d’attaque personnalisées en prolongation
Jani Nyman, Gabriel Dumont, Taylor Raddysh, Jared Davidson, John Farinacci, Martin Chromiak, Martin Chromiak, Sam Gagner, Garrett Pilon, Justin Robidas, Curtis Douglas
Lignes de défense personnalisées en prolongation
Caleb Jones, Adam Ginning, Scott Perunovich, Nolan Allan, Cameron Crotty


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
1Admirals21100000642000000000002110000064220.500611170139313726530635334585117294010220.00%5180.00%0583108553.73%50895453.25%29053953.80%739519633202373192
2Barracuda11000000752110000007520000000000021.000714210039313724630635334582274155360.00%20100.00%1583108553.73%50895453.25%29053953.80%739519633202373192
3Bears1010000035-21010000035-20000000000000.00035800393137232306353345829101222400.00%6350.00%0583108553.73%50895453.25%29053953.80%739519633202373192
4Checkers10001000761000000000001000100076121.0007111800393137236306353345857132282150.00%000.00%0583108553.73%50895453.25%29053953.80%739519633202373192
5Comets20200000512-71010000035-21010000027-500.000591400393137267306353345894282252400.00%10550.00%0583108553.73%50895453.25%29053953.80%739519633202373192
6Condors211000007701010000035-21100000042220.5007132000393137267306353345859151550700.00%4175.00%0583108553.73%50895453.25%29053953.80%739519633202373192
7Crunch11000000633000000000001100000063321.000691500393137236306353345838166216350.00%2150.00%0583108553.73%50895453.25%29053953.80%739519633202373192
8Devils1010000023-1000000000001010000023-100.00023500393137228306353345821715272150.00%5180.00%0583108553.73%50895453.25%29053953.80%739519633202373192
9Eagles1010000046-2000000000001010000046-200.00047110039313722830635334584374207342.86%20100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
10Firebirds21000010972100000104311100000054141.0009152400393137285306353345870912488225.00%50100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
11Gulls11000000734110000007340000000000021.0007142100393137235306353345826104253133.33%20100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
12Monsters1010000005-51010000005-50000000000000.00000000393137228306353345834141420300.00%7357.14%0583108553.73%50895453.25%29053953.80%739519633202373192
13Moose1000010034-1000000000001000010034-110.500369003931372293063533458486613100.00%3166.67%0583108553.73%50895453.25%29053953.80%739519633202373192
14Phantoms1010000025-31010000025-30000000000000.000246003931372413063533458363415100.00%20100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
15Reign11000000541110000005410000000000021.00059140039313724030635334583572235240.00%10100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
16Roadrunners1010000013-21010000013-20000000000000.00012300393137228306353345831184163133.33%220.00%0583108553.73%50895453.25%29053953.80%739519633202373192
17Rocket1010000024-2000000000001010000024-200.000235003931372423063533458347628100.00%3166.67%0583108553.73%50895453.25%29053953.80%739519633202373192
18Senators20200000610-41010000046-21010000024-200.00061117003931372783063533458691814548112.50%6350.00%0583108553.73%50895453.25%29053953.80%739519633202373192
19Sound Tigers1010000035-21010000035-20000000000000.0003690039313723230635334582844206233.33%220.00%0583108553.73%50895453.25%29053953.80%739519633202373192
20Thunderbirds11000000844000000000001100000084421.0008162400393137246306353345836114313133.33%20100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
21Wild11000000422110000004220000000000021.000471100393137244306353345829116303133.33%30100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
22Wolf Pack1010000025-3000000000001010000025-300.00024600393137225306353345833812233133.33%5340.00%0583108553.73%50895453.25%29053953.80%739519633202373192
23Wolves1000010056-11000010056-10000000000010.5005101500393137219306353345836141222200.00%6266.67%0583108553.73%50895453.25%29053953.80%739519633202373192
24Wranglers11000000532000000000001100000053221.0005813003931372313063533458334824300.00%40100.00%0583108553.73%50895453.25%29053953.80%739519633202373192
Total29101501210109121-121448001105162-111567011005859-1260.448109197306013931372100830635334589922642216671002525.00%892967.42%1583108553.73%50895453.25%29053953.80%739519633202373192
_Since Last GM Reset29101501210109121-121448001105162-111567011005859-1260.448109197306013931372100830635334589922642216671002525.00%892967.42%1583108553.73%50895453.25%29053953.80%739519633202373192
_Vs Conference1796001107164784300010343049530010037343210.618711312020139313726113063533458577150120387621625.81%451077.78%1583108553.73%50895453.25%29053953.80%739519633202373192
_Vs Division733001002623321100000550522001002118370.5002649750139313722403063533458238705315027829.63%17476.47%0583108553.73%50895453.25%29053953.80%739519633202373192

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2926W1109197306100899226422166701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2910151210109121
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
144801105162
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
156711005859
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1002525.00%892967.42%1
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
30635334583931372
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
583108553.73%50895453.25%29053953.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
739519633202373192


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 - 2025-10-0917Stars3Moose4ALXSommaire du match
5 - 2025-10-1134Stars4Eagles6ALSommaire du match
8 - 2025-10-1454Wild2Stars4BWSommaire du match
10 - 2025-10-1668Comets5Stars3BLSommaire du match
12 - 2025-10-1883Stars8Thunderbirds4AWSommaire du match
15 - 2025-10-21106Monsters5Stars0BLSommaire du match
17 - 2025-10-23120Reign4Stars5BWSommaire du match
19 - 2025-10-25138Wolves6Stars5BLXSommaire du match
20 - 2025-10-26145Stars2Admirals4ALSommaire du match
22 - 2025-10-28159Bears5Stars3BLSommaire du match
24 - 2025-10-30169Stars6Crunch3AWSommaire du match
26 - 2025-11-01185Stars7Checkers6AWXSommaire du match
29 - 2025-11-04207Condors5Stars3BLSommaire du match
31 - 2025-11-06224Gulls3Stars7BWSommaire du match
33 - 2025-11-08233Stars4Admirals0AWSommaire du match
34 - 2025-11-09248Firebirds3Stars4BWXXSommaire du match
36 - 2025-11-11258Stars2Senators4ALSommaire du match
38 - 2025-11-13270Stars2Rocket4ALSommaire du match
40 - 2025-11-15293Phantoms5Stars2BLSommaire du match
43 - 2025-11-18310Sound Tigers5Stars3BLSommaire du match
45 - 2025-11-20328Stars2Comets7ALSommaire du match
47 - 2025-11-22345Stars5Wranglers3AWSommaire du match
50 - 2025-11-25360Stars4Condors2AWSommaire du match
51 - 2025-11-26375Stars5Firebirds4AWSommaire du match
53 - 2025-11-28390Roadrunners3Stars1BLSommaire du match
55 - 2025-11-30405Senators6Stars4BLSommaire du match
57 - 2025-12-02414Stars2Wolf Pack5ALSommaire du match
58 - 2025-12-03421Stars2Devils3ALSommaire du match
60 - 2025-12-05438Barracuda5Stars7BWSommaire du match
62 - 2025-12-07456Penguins-Stars-
64 - 2025-12-09473Stars-Moose-
66 - 2025-12-11488Stars-Wild-
68 - 2025-12-13505Checkers-Stars-
70 - 2025-12-15518Reign-Stars-
73 - 2025-12-18543Stars-Barracuda-
74 - 2025-12-19548Stars-Gulls-
76 - 2025-12-21568Marlies-Stars-
78 - 2025-12-23576Stars-Griffins-
82 - 2025-12-27596IceHogs-Stars-
86 - 2025-12-31628Americans-Stars-
87 - 2026-01-01638Stars-IceHogs-
90 - 2026-01-04657Rocket-Stars-
92 - 2026-01-06670Stars-Wolves-
93 - 2026-01-07677Stars-Bears-
96 - 2026-01-10700Stars-Barracuda-
98 - 2026-01-12724Stars-Reign-
99 - 2026-01-13734Stars-Gulls-
101 - 2026-01-15746Stars-Roadrunners-
104 - 2026-01-18767Crunch-Stars-
106 - 2026-01-20783Bruins-Stars-
108 - 2026-01-22797Stars-Monsters-
109 - 2026-01-23804Thunderbirds-Stars-
113 - 2026-01-27836Stars-Thunderbirds-
115 - 2026-01-29856Stars-Silver Knights-
117 - 2026-01-31870Stars-Roadrunners-
119 - 2026-02-02882Moose-Stars-
121 - 2026-02-04899Thunderbirds-Stars-
142 - 2026-02-25913Firebirds-Stars-
145 - 2026-02-28945Admirals-Stars-
147 - 2026-03-02956Stars-Comets-
148 - 2026-03-03965Stars-Wranglers-
151 - 2026-03-06984Eagles-Stars-
153 - 2026-03-081004IceHogs-Stars-
155 - 2026-03-101020Silver Knights-Stars-
157 - 2026-03-121034Condors-Stars-
159 - 2026-03-141053Griffins-Stars-
161 - 2026-03-161066Roadrunners-Stars-
163 - 2026-03-181080Stars-Eagles-
166 - 2026-03-211101Stars-Wild-
167 - 2026-03-221115Silver Knights-Stars-
169 - 2026-03-241130Devils-Stars-
171 - 2026-03-261141Stars-Sound Tigers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281156Stars-Penguins-
174 - 2026-03-291172Stars-Phantoms-
176 - 2026-03-311178Stars-Bruins-
178 - 2026-04-021198Moose-Stars-
180 - 2026-04-041209Eagles-Stars-
183 - 2026-04-071239Wranglers-Stars-
185 - 2026-04-091255Wild-Stars-
187 - 2026-04-111268Wolf Pack-Stars-
189 - 2026-04-131285Stars-Marlies-
191 - 2026-04-151301Stars-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4535
Assistance16,5756,756
Assistance PCT59.20%48.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-4 1667 - 55.55% 87,709$1,227,919$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
960,367$ 2,486,000$ 2,486,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 798,050$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-350,834$ 131 15,552$ 2,037,312$




Stars Leaders statistiques (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
1Taylor Raddysh1106843111243013018039217.35%26203518.5113152874101211351.32%21.0934
2Sam Gagner11143681112466222037111.59%33227420.491515306410139450.34%20.9815
3Alex Belzile8235589312188516030111.63%28172621.05825336200026251.50%11.0804
4Kiefer Sherwood8233498214823121483349.88%27183722.417121956011510249.29%00.8915
5Hendrix Lapierre82344781984223328012.14%19170120.75614205310125652.66%00.9512

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
1Dustin Wolf795217100.8963.2447846325824890000.69623
2Tristan Lennox29111520.8734.331606411169140201.0004
3Jordan Papirny84000.9501.683220091790000.0000

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
Saison régulière
2024824517087233312656641255045201841335141201204203147132151203316059360312799951430351018981100059259077867319252707828.89%2575279.77%41599311051.41%1472279752.63%740139553.05%2059143918535911061539
202529101501210109121-121448001105162-111567011005859-126109197306013931372100830635334589922642216671002525.00%892967.42%1583108553.73%50895453.25%29053953.80%739519633202373192
Total Saison régulière11155320993344038654552913046302351954056261905303205191141464408021242041661301321640431324133413456735821042894259237010327.84%3468176.59%52182419552.01%1980375152.79%1030193453.26%2799195924877941434732
Séries éliminatoires
2024158700000605918530000035332734000002526-116601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
Total Séries éliminatoires158700000605918530000035332734000002526-116601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698

Stars Leaders statistiques (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
1Sam Gagner155131810227549.26%931420.951891000020247.96%01.1500
2Hendrix Lapierre1589172010488010.00%633622.411121900003051.46%01.0100
3Logan Mailloux1511314-1183817205.00%2734823.2702280000100.00%00.8000
4Alex Belzile1510313-2221263429.41%121014.04415700001043.93%01.2300
5Lias Andersson1557122240195010.00%234022.67134800001045.16%00.7100

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
1Jordan Papirny147700.8833.8687100564770010.0000
2Dustin Wolf11000.9262.0060002270000.0000