Stars
GP: 60 | W: 30 | L: 23 | OTL: 7 | P: 67
GF: 236 | GA: 228 | PP%: 23.71% | PK%: 73.40%
DG: Alexandre Huet | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #965 vs Wranglers
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Centre de jeu
Admirals
30-24-6, 66pts
5
FINAL
4 Stars
30-23-7, 67pts
Team Stats
W2StreakL1
17-11-4Home Record13-12-3
13-13-2Away Record17-11-4
5-4-1Last 10 Games7-1-2
3.58Buts par match 3.93
3.43Buts contre par match 3.80
26.98%Pourcentage en avantage numérique23.71%
79.79%Pourcentage en désavantage numérique73.40%
Stars
30-23-7, 67pts
3
FINAL
5 Comets
40-15-5, 85pts
Team Stats
L1StreakW2
13-12-3Home Record18-7-4
17-11-4Away Record22-8-1
7-1-2Last 10 Games8-0-2
3.93Buts par match 4.67
3.80Buts contre par match 3.48
23.71%Pourcentage en avantage numérique25.24%
73.40%Pourcentage en désavantage numérique76.92%
Stars
30-23-7, 67pts
2026-03-03
Wranglers
24-30-5, 53pts
Statistiques d’équipe
L1SéquenceW1
13-12-3Fiche domicile11-14-4
17-11-4Fiche visiteur13-16-1
7-1-210 derniers matchs2-8-0
3.93Buts par match 3.34
3.80Buts contre par match 3.90
23.71%Pourcentage en avantage numérique19.08%
73.40%Pourcentage en désavantage numérique78.28%
Eagles
32-23-4, 68pts
2026-03-06
Stars
30-23-7, 67pts
Statistiques d’équipe
W2SéquenceL1
15-14-1Fiche domicile13-12-3
17-9-3Fiche visiteur17-11-4
7-2-110 derniers matchs7-1-2
3.92Buts par match 3.93
3.71Buts contre par match 3.80
22.58%Pourcentage en avantage numérique23.71%
76.68%Pourcentage en désavantage numérique73.40%
IceHogs
41-14-5, 87pts
2026-03-08
Stars
30-23-7, 67pts
Statistiques d’équipe
W1SéquenceL1
21-7-3Fiche domicile13-12-3
20-7-2Fiche visiteur17-11-4
5-4-110 derniers matchs7-1-2
3.97Buts par match 3.93
3.03Buts contre par match 3.80
23.35%Pourcentage en avantage numérique23.71%
78.54%Pourcentage en désavantage numérique73.40%
Meneurs d'équipe
Nathan WalkerButs
Nathan Walker
19
Nathan WalkerPasses
Nathan Walker
23
Nathan WalkerPoints
Nathan Walker
42
Nathan WalkerPlus/Moins
Nathan Walker
9
Tristan LennoxVictoires
Tristan Lennox
28
Jordan PapirnyPourcentage d’arrêts
Jordan Papirny
0.934

Statistiques d’équipe
Buts pour
236
3.93 GFG
Tirs pour
2086
34.77 Avg
Pourcentage en avantage numérique
23.7%
46 GF
Début de zone offensive
42.1%
Buts contre
228
3.80 GAA
Tirs contre
2073
34.55 Avg
Pourcentage en désavantage numérique
73.4%
50 GA
Début de la zone défensive
37.4%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance1,708
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 80
Espoirs32


Historique d'équipe

Saison actuelle30-23-7 (67PTS)
Historique85-40-16 (0.603%)
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
1Taylor Raddysh (R)0X100.006937926783848964556661635869680756502732,063,000$
2Sam Gagner0XXX100.00633793647286716574665864677678075640362750,000$
3John Farinacci (R)0X100.00733694657277846371646162656466075640242950,000$
4Tanner Laczynski0X100.00663884657884786672636462666870075640283950,000$
5Garrett Pilon (R)0X100.00643982637382846270665860636772075630273750,000$
6Justin Robidas (R)0X100.00633595646685736371626160656264075620223950,000$
7Curtis Douglas (R)0X100.00908251579975825564575663566567075620252750,000$
8Chaz Lucius (R)0X100.00653791627478675969615558566264075610221950,000$
9Martin Chromiak (R)0X100.00633790617284865862605957616365075610231950,000$
10Jared Davidson (R)0X100.00633976617084805966586257616465075610232950,000$
11Gabriel Dumont40XX100.00605472606981715865596056587580075610352999,999$
12Jacob MacDonald0X100.00703978677586796530636866587274075660322750,000$
13Ryker Evans (R)0X100.00734082697388856830736064526566075660231950,000$
14Caleb Jones82X100.00723886657679766330705862506970075640282887,000$
15Scott Perunovich (R)0X100.006333926965867668307554625167690756402711,150,000$
16Nolan Allan (R)0X100.00705473657982836330645766496264075630222950,000$
17Adam Ginning (R)0X100.00734269608380865930625864516567075620251950,000$
18Cameron Crotty (R)0X100.00714078628070835930605861496670075620262810,000$
19Tobias Bjornfot33X100.006838876074797559305855615064660756102411,052,000$
Rayé
1Alex Campbell (R)0X100.00623695567174645552565754536366075590243950,000$
2Julian Lutz (R)0X100.00653792587467685659575355546163075590213950,000$
3Samuel Savoie (R)0X100.00573788586879735758565554576163075580213950,000$
4Jeremy Davies0X100.00593973606880865930655657496971075610283750,000$
5Rodwin Dionicio (R)0X100.00714659598068635630555860486163075590213950,000$
MOYENNE D’ÉQUIPE100.0067418262758078615062586056666807562
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
1Taylor RaddyshStars (DAL)RW60363369213001081242487416914.52%24131021.8547113715100021005358.54%28700001.0516000355
2Sam GagnerStars (DAL)C/LW/RW602540657120481022176217011.52%24143623.9559143616611251532255.60%27700010.9014000353
3Garrett PilonStars (DAL)C602134551514077881715511812.28%11123620.605712291340000541154.97%34200000.8916000532
4Caleb JonesStars (DAL)D549435228380786787334010.34%60123022.793710371110111100010.00%000000.8500000121
5Nathan WalkerStarsLW44192342926014296206621469.22%16110525.13369311040003772462.71%11800000.7622000710
6Tanner LaczynskiStars (DAL)C40192241314054871314711014.50%776119.0545917870000233156.13%52200001.0822000302
7John FarinacciStars (DAL)C60152439-64029121161461409.32%498416.4017813990000602155.91%126100000.7914000103
8Scott PerunovichStars (DAL)D5283139-1100506477253310.39%52104920.174711361130110103300.00%000000.7400000132
9Justin RobidasStars (DAL)C601719360401372138449812.32%886414.41000321000002054.84%9300000.8302000210
10Nolan AllanStars (DAL)D608273503601367370224811.43%91118919.836814341030110134010.00%000000.5900000111
11Ryker EvansStars (DAL)D3832932-1281039503910307.69%4264216.921451131000027100.00%000101.0000200012
12Adam GinningStars (DAL)D583262922500101434823346.25%5999017.0710162900016610100.00%100000.5900000023
13Jacob MacDonaldStars (DAL)D5562127-510071436618379.09%4264811.783472363000269200.00%000100.8300000110
14Cameron CrottyStars (DAL)D6051621-324090475829368.62%67103717.2924622132000299000.00%000000.4000000010
15Jared DavidsonStars (DAL)C5471219980547359145311.86%661011.3000002000031052.72%75300000.6200000002
16Gabriel DumontStars (DAL)C/RW5881018-2160657310317567.77%978813.5900001000002054.27%85500000.4600000111
17Jonny BrodzinskiStarsC/LW/RW126111774014416514579.23%327723.160337330001132060.93%38900001.2200000012
18Curtis DouglasStars (DAL)C6071017-687152414511434756.14%890915.1714512124000050152.54%27600000.3711102021
19Martin ChromiakStars (DAL)RW555712620102230102016.67%32264.110115180000360153.03%6600001.0600000011
20Chaz LuciusStars (DAL)C37101-1204893611.11%0812.19000160000130047.62%2100000.2500000000
21Tobias BjornfotStars (DAL)D45000-620141018580.00%52034.5300061600001000.00%000000.0000000000
22Jeremy DaviesStars (DAL)D27000-100100010.00%1150.590000300000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne11092284386669542125143913492115647148510.78%5421760115.8743831263661558145171147291655.54%526100210.76927302293131
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)60282270.8893.79340214221519370300.66727600212
2Jordan PapirnyStars (DAL)72100.9342.342310091360000.0000060000
Statistiques d’équipe totales ou en moyenne67302370.8923.70363314222420730300.667276060212


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$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Alex CampbellStars (DAL)LW242001-02-27Yes182 Lbs6 ft0NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Caleb JonesStars (DAL)D281997-06-06No194 Lbs6 ft1NoNoYes2Pro & Farm887,000$207,891$887,000$207,891$0$0$No887,000$Lien / Lien NHL
Cameron CrottyStars (DAL)D261999-05-05Yes182 Lbs6 ft3NoNoNo2Pro & Farm810,000$189,844$810,000$189,844$0$0$No810,000$Lien / Lien NHL
Chaz LuciusStars (DAL)C222003-05-02Yes185 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Curtis DouglasStars (DAL)C252000-03-06Yes235 Lbs6 ft9NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Gabriel DumontStars (DAL)C/RW351990-10-06No195 Lbs5 ft10NoNoNo2Pro & Farm999,999$234,375$999,999$234,375$0$0$No999,999$Lien / Lien NHL
Garrett PilonStars (DAL)C271998-04-13Yes191 Lbs6 ft0NoNoNo3Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$750,000$Lien / Lien NHL
Jacob MacDonaldStars (DAL)D321993-02-26No204 Lbs6 ft0NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Jared DavidsonStars (DAL)C232002-07-07Yes188 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Jeremy DaviesStars (DAL)D281996-12-04No180 Lbs5 ft11NoNoNo3Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$750,000$Lien / Lien NHL
John FarinacciStars (DAL)C242001-02-14Yes197 Lbs5 ft11NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Jordan PapirnyStars (DAL)G291996-04-10No169 Lbs6 ft1NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Julian LutzStars (DAL)LW212004-02-29Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Justin RobidasStars (DAL)C222003-03-13Yes176 Lbs5 ft8NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Martin ChromiakStars (DAL)RW232002-08-20Yes187 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Nolan AllanStars (DAL)D222003-04-28Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$Lien / Lien NHL
Rodwin DionicioStars (DAL)D212004-03-30Yes196 Lbs6 ft2NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Ryker EvansStars (DAL)D232001-12-13Yes195 Lbs6 ft0NoNoNo1Pro & Farm950,000$222,656$950,000$222,656$0$0$NoLien / Lien NHL
Sam GagnerStars (DAL)C/LW/RW361989-08-10No200 Lbs5 ft11NoNoNo2Pro & Farm750,000$175,781$750,000$175,781$0$0$No750,000$Lien / Lien NHL
Samuel SavoieStars (DAL)LW212004-03-25Yes189 Lbs5 ft10NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Scott PerunovichStars (DAL)D271998-08-18Yes175 Lbs5 ft10NoNoYes1Pro & Farm1,150,000$269,531$1,150,000$269,531$0$0$NoLien / Lien NHL
Tanner LaczynskiStars (DAL)C281997-06-01No205 Lbs6 ft1NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Taylor RaddyshStars (DAL)RW271998-02-18Yes200 Lbs6 ft3NoNoNo3Pro & Farm2,063,000$483,516$2,063,000$483,516$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$246,562$1,052,000$246,562$1,052,000$246,562$NoLien / Lien NHL
Tristan LennoxStars (DAL)G222002-10-21Yes193 Lbs6 ft3NoNoNo3Pro & Farm950,000$222,656$950,000$222,656$0$0$No950,000$950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2625.58192 Lbs6 ft12.12960,077$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin RobidasSam GagnerTaylor Raddysh40122
2Curtis DouglasJohn FarinacciMartin Chromiak30122
3Tanner LaczynskiGarrett PilonGabriel Dumont20122
4Taylor RaddyshJustin RobidasSam Gagner10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldRyker Evans40122
2Scott PerunovichCaleb Jones30122
3Nolan AllanCameron Crotty20122
4Adam GinningTobias Bjornfot10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin RobidasSam GagnerTaylor Raddysh60122
2Curtis DouglasJohn FarinacciMartin Chromiak40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldRyker Evans60122
2Scott PerunovichCaleb Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshSam Gagner60122
2John FarinacciGarrett Pilon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldNolan Allan60122
2Scott PerunovichCaleb Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Jacob MacDonaldRyker Evans60122
2Sam Gagner40122Scott PerunovichCaleb Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshSam Gagner60122
2John FarinacciGarrett Pilon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jacob MacDonaldCameron Crotty60122
2Scott PerunovichCaleb Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin RobidasSam GagnerTaylor RaddyshJacob MacDonaldRyker Evans
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin RobidasSam GagnerTaylor RaddyshJacob MacDonaldRyker Evans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Dumont, Taylor Raddysh, Curtis DouglasGabriel Dumont, Sam GagnerCurtis Douglas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob MacDonald, Nolan Allan, Cameron CrottyJacob MacDonaldNolan Allan, Cameron Crotty
Tirs de pénalité
Taylor Raddysh, Sam Gagner, John Farinacci, Garrett Pilon, Justin Robidas
Gardien
#1 : Tristan Lennox, #2 : Jordan Papirny
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Sam Gagner, John Farinacci, Garrett Pilon, Justin Robidas, Curtis Douglas, Curtis Douglas, Martin Chromiak, Gabriel Dumont, Tanner Laczynski, Jared Davidson
Lignes de défense personnalisées en prolongation
Jacob MacDonald, Cameron Crotty, Scott Perunovich, Caleb Jones, Nolan Allan


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
1Admirals3110000110911000000145-12110000064230.50010192901858068892672703694457926356514321.43%8187.50%01268225156.33%1092199754.68%614109755.97%155911021303417771399
2Americans1010000035-21010000035-20000000000000.0003690085806882767270369445346836100.00%3166.67%01268225156.33%1092199754.68%614109755.97%155911021303417771399
3Barracuda3200010013112110000007522100010066050.8331325380085806881076727036944510225276310440.00%9277.78%11268225156.33%1092199754.68%614109755.97%155911021303417771399
4Bears211000007611010000035-21100000041320.500712190085806887067270369445561516498112.50%8362.50%01268225156.33%1092199754.68%614109755.97%155911021303417771399
5Bruins1010000046-21010000046-20000000000000.000481200858068835672703694452816821200.00%4175.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
6Checkers210010001082110000003211000100076141.0001017270085806886467270369445932112594125.00%50100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
7Comets30300000817-91010000035-220200000512-700.00081321008580688106672703694451404032768112.50%15660.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
8Condors211000007701010000035-21100000042220.50071320008580688676727036944559151550700.00%4175.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
9Crunch22000000954110000003211100000063341.000915240085806886367270369445692712398450.00%5260.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
10Devils1010000023-1000000000001010000023-100.000235008580688286727036944521715272150.00%5180.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
11Eagles1010000046-2000000000001010000046-200.000471100858068828672703694454374207342.86%20100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
12Firebirds3100001113121200000118801100000054150.8331323360085806881176727036944511725267510330.00%11190.91%01268225156.33%1092199754.68%614109755.97%155911021303417771399
13Griffins1010000047-3000000000001010000047-300.000481200858068856672703694453392154125.00%10100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
14Gulls31100001131301100000073420100001610-430.50013253800858068885672703694451133318666233.33%9277.78%11268225156.33%1092199754.68%614109755.97%155911021303417771399
15IceHogs2020000047-31010000023-11010000024-200.0004711008580688766727036944557141844600.00%7357.14%01268225156.33%1092199754.68%614109755.97%155911021303417771399
16Marlies11000000523110000005230000000000021.000591400858068838672703694453998253133.33%3166.67%01268225156.33%1092199754.68%614109755.97%155911021303417771399
17Monsters2110000048-41010000005-51100000043120.5004812008580688556727036944562232033700.00%10370.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
18Moose320001001293110000004222100010087150.8331223350085806888967270369445104231461300.00%7185.71%01268225156.33%1092199754.68%614109755.97%155911021303417771399
19Penguins11000000945110000009450000000000021.00091827008580688406727036944545174295360.00%2150.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
20Phantoms1010000025-31010000025-30000000000000.0002460085806884167270369445363415100.00%20100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
21Reign321000001394211000008801100000051440.6671324370085806881026727036944510729206816425.00%90100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
22Roadrunners32100000111011010000013-222000000107340.66711223300858068885672703694451073816527228.57%8362.50%01268225156.33%1092199754.68%614109755.97%155911021303417771399
23Rocket2110000089-1110000006511010000024-220.500815230085806889367270369445761410593133.33%5340.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
24Senators20200000610-41010000046-21010000024-200.000611170085806887867270369445691814548112.50%6350.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
25Silver Knights11000000532000000000001100000053221.000510150085806884767270369445246725100.00%10100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
26Sound Tigers1010000035-21010000035-20000000000000.00036900858068832672703694452844206233.33%220.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
27Thunderbirds440000002491522000000123922000000126681.00024467001858068817667270369445119352810916318.75%12191.67%01268225156.33%1092199754.68%614109755.97%155911021303417771399
28Wild21000001761110000004221000000134-130.750713200085806887867270369445692418548337.50%7271.43%01268225156.33%1092199754.68%614109755.97%155911021303417771399
29Wolf Pack1010000025-3000000000001010000025-300.000246008580688256727036944533812233133.33%5340.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
30Wolves200001109901000010056-11000001043130.750915240085806885567270369445782418417114.29%9366.67%01268225156.33%1092199754.68%614109755.97%155911021303417771399
31Wranglers11000000532000000000001100000053221.00058130085806883167270369445334824300.00%40100.00%01268225156.33%1092199754.68%614109755.97%155911021303417771399
Total602723013242362288281212001121131103321511012121231185670.558236437673028580688208667270369445207356545313971944623.71%1885073.40%21268225156.33%1092199754.68%614109755.97%155911021303417771399
_Since Last GM Reset602723013242362288281212001121131103321511012121231185670.558236437673028580688208667270369445207356545313971944623.71%1885073.40%21268225156.33%1092199754.68%614109755.97%155911021303417771399
_Vs Conference3719110021414913118157500012635211221260020286797460.62214927842702858068812866727036944512733442868521222822.95%1132379.65%21268225156.33%1092199754.68%614109755.97%155911021303417771399
_Vs Division1810500102725616742000012718911630010145387230.6397213720902858068862467270369445578167133405611422.95%511178.43%01268225156.33%1092199754.68%614109755.97%155911021303417771399

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6067L123643767320862073565453139702
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6027231324236228
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2812120112113110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3215111212123118
Derniers 10 matchs
WLOTWOTL SOWSOL
710002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1944623.71%1885073.40%2
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
672703694458580688
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
1268225156.33%1092199754.68%614109755.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
155911021303417771399


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 - 2025-12-07456Penguins4Stars9BWSommaire du match
64 - 2025-12-09473Stars5Moose3AWSommaire du match
66 - 2025-12-11488Stars3Wild4ALXXSommaire du match
68 - 2025-12-13505Checkers2Stars3BWSommaire du match
70 - 2025-12-15518Reign4Stars3BLSommaire du match
73 - 2025-12-18543Stars2Barracuda1AWSommaire du match
74 - 2025-12-19548Stars2Gulls3ALXXSommaire du match
76 - 2025-12-21568Marlies2Stars5BWSommaire du match
78 - 2025-12-23576Stars4Griffins7ALSommaire du match
82 - 2025-12-27596IceHogs3Stars2BLSommaire du match
86 - 2025-12-31628Americans5Stars3BLSommaire du match
87 - 2026-01-01638Stars2IceHogs4ALSommaire du match
90 - 2026-01-04657Rocket5Stars6BWSommaire du match
92 - 2026-01-06670Stars4Wolves3AWXXSommaire du match
93 - 2026-01-07677Stars4Bears1AWSommaire du match
96 - 2026-01-10700Stars4Barracuda5ALXSommaire du match
98 - 2026-01-12724Stars5Reign1AWSommaire du match
99 - 2026-01-13734Stars4Gulls7ALSommaire du match
101 - 2026-01-15746Stars5Roadrunners3AWSommaire du match
104 - 2026-01-18767Crunch2Stars3BWSommaire du match
106 - 2026-01-20783Bruins6Stars4BLSommaire du match
108 - 2026-01-22797Stars4Monsters3AWSommaire du match
109 - 2026-01-23804Thunderbirds0Stars7BWSommaire du match
113 - 2026-01-27836Stars4Thunderbirds2AWSommaire du match
115 - 2026-01-29856Stars5Silver Knights3AWSommaire du match
117 - 2026-01-31870Stars5Roadrunners4AWSommaire du match
119 - 2026-02-02882Moose2Stars4BWSommaire du match
121 - 2026-02-04899Thunderbirds3Stars5BWSommaire du match
142 - 2026-02-25913Firebirds5Stars4BLXXSommaire du match
145 - 2026-02-28945Admirals5Stars4BLXXSommaire du match
147 - 2026-03-02956Stars3Comets5ALSommaire du match
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
Assistance34,01313,815
Assistance PCT60.74%49.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-18 1708 - 56.94% 89,916$2,517,637$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,255,451$ 2,391,000$ 2,391,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,867,705$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-1,618,481$ 45 15,057$ 677,565$




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 Raddysh1418763150434819325352316.63%42275619.5514193391101314655.96%21.0949
2Sam Gagner142559214727148728449711.07%43305621.5316203684112711451.66%20.9629
3Caleb Jones1071983102326018516016711.38%140250623.43101727740111020.00%00.8100
4Ryker Evans112157893176815412514310.49%131221219.7551520580110310.00%00.8400
5Alex Belzile8235589312188516030111.63%28172621.05825336200026251.50%11.0804

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 Lennox60282270.8893.79340214221519370300.66727
3Jordan Papirny105100.9451.8941300132370000.0000

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
202560272301324236228828121200112113110332151101212123118567236437673028580688208667270369445207356545313971944623.71%1885073.40%21268225156.33%1092199754.68%614109755.97%155911021303417771399
Total Saison régulière142724009104756749374693717046322972435473352305415270250201875671042160905212179163225121169016841694104466313431126332246412426.72%44510277.08%62867536153.48%2564479453.48%1354249254.33%36192541315710091832939
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