Stars
GP: 9 | W: 8 | L: 1
GF: 40 | GA: 35 | PP%: 26.09% | PK%: 69.70%
DG: Alexandre Huet | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #86 vs Barracuda
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Centre de jeu
Comets
5-4-0, 10pts
7
FINAL
3 Stars
8-1-0, 16pts
Team Stats
L1StreakW1
2-3-0Home Record3-1-0
3-1-0Away Record5-0-0
5-2-2Last 10 Games8-1-0
4.22Buts par match 4.44
3.56Buts contre par match 3.89
34.62%Pourcentage en avantage numérique26.09%
79.31%Pourcentage en désavantage numérique69.70%
Stars
8-1-0, 16pts
4
FINAL
3 Comets
5-4-0, 10pts
Team Stats
W1StreakL1
3-1-0Home Record2-3-0
5-0-0Away Record3-1-0
8-1-0Last 10 Games5-2-2
4.44Buts par match 4.22
3.89Buts contre par match 3.56
26.09%Pourcentage en avantage numérique34.62%
69.70%Pourcentage en désavantage numérique79.31%
Stars
8-1-0, 16pts
2026-05-02
Barracuda
8-5-0, 16pts
Statistiques d’équipe
W1SéquenceW1
3-1-0Fiche domicile5-2-0
5-0-0Fiche visiteur3-3-0
8-1-010 derniers matchs7-3-0
4.44Buts par match 4.23
3.89Buts contre par match 3.85
26.09%Pourcentage en avantage numérique22.50%
69.70%Pourcentage en désavantage numérique71.05%
Stars
8-1-0, 16pts
2026-05-03
Barracuda
8-5-0, 16pts
Statistiques d’équipe
W1SéquenceW1
3-1-0Fiche domicile5-2-0
5-0-0Fiche visiteur3-3-0
8-1-010 derniers matchs7-3-0
4.44Buts par match 4.23
3.89Buts contre par match 3.85
26.09%Pourcentage en avantage numérique22.50%
69.70%Pourcentage en désavantage numérique71.05%
Barracuda
8-5-0, 16pts
2026-05-04
Stars
8-1-0, 16pts
Statistiques d’équipe
W1SéquenceW1
5-2-0Fiche domicile3-1-0
3-3-0Fiche visiteur5-0-0
7-3-010 derniers matchs8-1-0
4.23Buts par match 4.44
3.85Buts contre par match 3.89
22.50%Pourcentage en avantage numérique26.09%
71.05%Pourcentage en désavantage numérique69.70%
Meneurs d'équipe
Tristan LennoxVictoires
Tristan Lennox
7
Jordan PapirnyPourcentage d’arrêts
Jordan Papirny
0.927

Statistiques d’équipe
Buts pour
40
4.44 GFG
Tirs pour
319
35.44 Avg
Pourcentage en avantage numérique
26.1%
6 GF
Début de zone offensive
42.1%
Buts contre
35
3.89 GAA
Tirs contre
326
36.22 Avg
Pourcentage en désavantage numérique
69.7%
10 GA
Début de la zone défensive
39.1%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,261
Billets de saison300


Information formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 80
Espoirs32


Historique d'équipe

Saison actuelle8-1
Historique98-48-18 (0.598%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)16-8
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
1John FarinacciStars (DAL)C9561164014263092116.67%018520.630223200001111158.29%21100001.1800000112
2Ryker EvansStars (DAL)D938110402118137823.08%1019922.17123412101111100.00%000001.1000000210
3Jared DavidsonStars (DAL)C9459-12023142042020.00%017919.97101111000001048.15%2700001.0000000100
4Jacob MacDonaldStars (DAL)D9268-2401012178811.76%1915917.76213712011013100.00%000001.0000000100
5Justin RobidasStars (DAL)C9448400151932111512.50%118420.46000180001201043.53%17000000.8700000010
6Tanner LaczynskiStars (DAL)C9268-1801723347215.88%519822.090004110111150057.80%17300000.8000000100
7Martin ChromiakStars (DAL)RW943711006162031520.00%015216.9100038000001077.78%900000.9200000000
8Nolan AllanStars (DAL)D91677120121013647.69%513114.5600007000015010.00%000001.0700000000
9Taylor RaddyshStars (DAL)RW9437-375151332151912.50%320422.690114180000180050.00%4800000.6900010021
10Chaz LuciusStars (DAL)C924680087156913.33%010211.3900000000020050.00%1000001.1700000010
11Cameron CrottyStars (DAL)D9235740116102320.00%512614.0110127000010000.00%000000.7900000010
12Scott PerunovichStars (DAL)D9235-24089174711.76%1218720.851011017000023000.00%000000.5300000001
13Adam GinningStars (DAL)D913466014661316.67%810511.700000000007100.00%100000.7600000000
14Caleb JonesStars (DAL)D9044-2100246143100.00%1718620.78011717000022000.00%000000.4300000000
15Sam GagnerStars (DAL)C/LW/RW7224-2001152031010.00%110014.39011370000140053.41%8800000.7900000010
16Gabriel DumontStars (DAL)C/RW90332201016142140.00%316718.58011011000160041.77%7900000.3600000000
17Alex CampbellStars (DAL)LW5202-3002252340.00%211222.42000010000021033.33%600000.3600000001
18Curtis DouglasStars (DAL)C40225601626350.00%05413.5100017000040050.00%600000.7400000001
19Jeremy DaviesStars (DAL)D8022400101000.00%5313.980000000000000.00%000001.2600000000
20Tobias BjornfotStars (DAL)D9011000000010.00%0111.310000000000000.00%000001.7000000000
Statistiques d’équipe totales ou en moyenne1684074114447352282203199619612.54%96278116.5669155019312352018252.05%82800000.8200010686
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)97100.8883.8050500322850000.000090000
2Jordan PapirnyStars (DAL)21000.9272.9561003410000.000009000
Statistiques d’équipe totales ou en moyenne118100.8933.7056700353260000.000099000


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$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Alex CampbellStars (DAL)LW242001-02-27Yes182 Lbs6 ft0NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Caleb JonesStars (DAL)D281997-06-06No194 Lbs6 ft1NoNoYes2Pro & Farm887,000$295,667$887,000$295,667$0$0$No887,000$Lien / Lien NHL
Cameron CrottyStars (DAL)D261999-05-05Yes182 Lbs6 ft3NoNoNo2Pro & Farm810,000$270,000$810,000$270,000$0$0$No810,000$Lien / Lien NHL
Chaz LuciusStars (DAL)C222003-05-02Yes185 Lbs6 ft1NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Curtis DouglasStars (DAL)C252000-03-06Yes235 Lbs6 ft9NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Gabriel DumontStars (DAL)C/RW351990-10-06No195 Lbs5 ft10NoNoNo2Pro & Farm999,999$333,333$999,999$333,333$0$0$No999,999$Lien / Lien NHL
Garrett PilonStars (DAL)C271998-04-13Yes191 Lbs6 ft0NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
Jacob MacDonaldStars (DAL)D321993-02-26No204 Lbs6 ft0NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Jared DavidsonStars (DAL)C232002-07-07Yes188 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Jeremy DaviesStars (DAL)D281996-12-04No180 Lbs5 ft11NoNoNo3Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$750,000$Lien / Lien NHL
John FarinacciStars (DAL)C242001-02-14Yes197 Lbs5 ft11NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Jordan PapirnyStars (DAL)G291996-04-10No169 Lbs6 ft1NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Julian LutzStars (DAL)LW212004-02-29Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Justin RobidasStars (DAL)C222003-03-13Yes176 Lbs5 ft8NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Martin ChromiakStars (DAL)RW232002-08-20Yes187 Lbs6 ft0NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Nolan AllanStars (DAL)D222003-04-28Yes195 Lbs6 ft2NoNoNo2Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$Lien / Lien NHL
Rodwin DionicioStars (DAL)D212004-03-30Yes196 Lbs6 ft2NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Ryker EvansStars (DAL)D232001-12-13Yes195 Lbs6 ft0NoNoNo1Pro & Farm950,000$316,667$950,000$316,667$0$0$NoLien / Lien NHL
Sam GagnerStars (DAL)C/LW/RW361989-08-10No200 Lbs5 ft11NoNoNo2Pro & Farm750,000$250,000$750,000$250,000$0$0$No750,000$Lien / Lien NHL
Samuel SavoieStars (DAL)LW212004-03-25Yes189 Lbs5 ft10NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Scott PerunovichStars (DAL)D271998-08-18Yes175 Lbs5 ft10NoNoYes1Pro & Farm1,150,000$383,333$1,150,000$383,333$0$0$NoLien / Lien NHL
Tanner LaczynskiStars (DAL)C281997-06-01No205 Lbs6 ft1NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$0$0$No950,000$950,000$Lien / Lien NHL
Taylor RaddyshStars (DAL)RW271998-02-18Yes200 Lbs6 ft3NoNoNo3Pro & Farm2,063,000$687,667$2,063,000$687,667$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$350,667$1,052,000$350,667$1,052,000$350,667$NoLien / Lien NHL
Tristan LennoxStars (DAL)G222002-10-21Yes193 Lbs6 ft3NoNoNo3Pro & Farm950,000$316,667$950,000$316,667$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
1Sam GagnerTanner LaczynskiTaylor Raddysh40122
2Jared DavidsonJohn FarinacciGabriel Dumont30122
3Chaz LuciusJustin RobidasMartin Chromiak20122
4Taylor RaddyshJared DavidsonTanner Laczynski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansJacob MacDonald40122
2Caleb JonesScott Perunovich30122
3Nolan AllanCameron Crotty20122
4Adam GinningJacob MacDonald10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin RobidasTanner LaczynskiTaylor Raddysh60122
2Jared DavidsonJohn FarinacciGabriel Dumont40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansJacob MacDonald60122
2Caleb JonesScott Perunovich40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshTanner Laczynski60122
2John FarinacciJustin Robidas40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nolan AllanJacob MacDonald60122
2Caleb JonesScott Perunovich40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Ryker EvansJacob MacDonald60122
2Tanner Laczynski40122Caleb JonesScott Perunovich40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshTanner Laczynski60122
2John FarinacciJustin Robidas40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron CrottyJacob MacDonald60122
2Caleb JonesScott Perunovich40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam GagnerTanner LaczynskiTaylor RaddyshRyker EvansJacob MacDonald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam GagnerTanner LaczynskiTaylor RaddyshRyker EvansJacob MacDonald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Martin Chromiak, Chaz Lucius, Gabriel DumontMartin Chromiak, Chaz LuciusGabriel Dumont
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, Nolan Allan, Cameron CrottyTobias BjornfotNolan Allan, Cameron Crotty
Tirs de pénalité
Taylor Raddysh, Tanner Laczynski, John Farinacci, Justin Robidas, Gabriel Dumont
Gardien
#1 : Tristan Lennox, #2 : Jordan Papirny
Lignes d’attaque personnalisées en prolongation
Taylor Raddysh, Tanner Laczynski, John Farinacci, Justin Robidas, Gabriel Dumont, Jared Davidson, Jared Davidson, Martin Chromiak, Chaz Lucius, Sam Gagner, Garrett Pilon
Lignes de défense personnalisées en prolongation
Cameron Crotty, Jacob MacDonald, Caleb Jones, Scott Perunovich, 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
1Comets541000002121021100000710-3330000001411380.8002139600011151221588111111116182583912012541.67%17664.71%117834951.00%17332453.40%8015551.61%2401692076411962
2IceHogs44000000191452200000011922200000085381.000193554001115122161811111111614438341081119.09%16475.00%017834951.00%17332453.40%8015551.61%2401692076411962
Total9810000040355431000001819-15500000022166160.88940741140011151223198111111116326967322823626.09%331069.70%117834951.00%17332453.40%8015551.61%2401692076411962
_Since Last GM Reset9810000040355431000001819-15500000022166160.88940741140011151223198111111116326967322823626.09%331069.70%117834951.00%17332453.40%8015551.61%2401692076411962
_Vs Conference9810000040355431000001819-15500000022166160.88940741140011151223198111111116326967322823626.09%331069.70%117834951.00%17332453.40%8015551.61%2401692076411962
_Vs Division44000000191452200000011922200000085381.000193554001115122161811111111614438341081119.09%16475.00%017834951.00%17332453.40%8015551.61%2401692076411962

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
916W14074114319326967322800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
98100004035
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
43100001819
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
55000002216
Derniers 10 matchs
WLOTWOTL SOWSOL
810000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
23626.09%331069.70%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
81111111161115122
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
17834951.00%17332453.40%8015551.61%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2401692076411962


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
1 - 2026-04-186Stars4IceHogs2AWSommaire du match
2 - 2026-04-1914Stars4IceHogs3AWSommaire du match
3 - 2026-04-2022IceHogs4Stars5BWSommaire du match
4 - 2026-04-2130IceHogs5Stars6BWSommaire du match
8 - 2026-04-2559Stars5Comets4AWXSommaire du match
9 - 2026-04-2663Stars5Comets4AWXSommaire du match
10 - 2026-04-2767Comets3Stars4BWSommaire du match
11 - 2026-04-2871Comets7Stars3BLSommaire du match
12 - 2026-04-2975Stars4Comets3AWSommaire du match
15 - 2026-05-0286Stars-Barracuda-
16 - 2026-05-0388Stars-Barracuda-
17 - 2026-05-0490Barracuda-Stars-
18 - 2026-05-0592Barracuda-Stars-
19 - 2026-05-0694Stars-Barracuda-
20 - 2026-05-0796Barracuda-Stars-
21 - 2026-05-0898Stars-Barracuda-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4535
Assistance6,3222,722
Assistance PCT79.03%68.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
6 2261 - 75.37% 118,675$474,700$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 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$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 7 0$ 0$




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
1Sam Gagner16461110171301812236059210.30%47361122.0218264498112714454.91%20.95210
2Taylor Raddysh1609467161404821427657416.38%47299518.7214203493101316855.48%21.0749
3Caleb Jones1292092112367225018419610.20%161295122.88101929890111020.00%00.7600
4Jacob MacDonald153307910968425214926311.41%184286918.761321341280003400.00%00.7600
5Scott Perunovich1561984103133412016718210.44%148296218.99101626970220500.00%00.7000

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 Lennox82413080.8913.66469214228626280400.68832
3Jordan Papirny115100.9401.9945200152480000.0000

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
2025823731034343153011441181601222164157741191502212151144794315584899021101079212291993598097661277576259719402636424.33%2576674.32%21769310656.95%1505268356.09%833145657.21%2167154017515641045545
Total Saison régulière1648248011115764656680824321057423482905882392706415298276222146461189183505237206187265954195319611976120536515401270386553314226.64%51411877.04%63368621654.18%2977548054.32%1573285155.17%422729793605115621071085
Séries éliminatoires
2024158700000605918530000035332734000002526-116601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
20259810000040355431000001819-155000000221661640741140011151223198111111116326967322823626.09%331069.70%117834951.00%17332453.40%8015551.61%2401692076411962
Total Séries éliminatoires241680000010094612840000053521128400000474253210018028010273534487723528931934831256170596731824.66%742270.27%148694951.21%44387550.63%22743652.06%614430570174316160

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 Gagner2271522-10342749.46%1041518.8619101300020249.65%01.0600
2Hendrix Lapierre1589172010488010.00%633622.411121900003051.46%01.0100
3Taylor Raddysh247916-192937759.33%845018.78011500000050.00%00.7100
4Ryker Evans20312154627321618.75%1630215.1212341011100.00%00.9900
5Jacob MacDonald2131215-361824339.09%2737717.97314120110100.00%00.8000

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 Papirny168700.8863.7993300595180010.0000
2Tristan Lennox97100.8883.8050500322850000.0000
3Dustin Wolf11000.9262.0060002270000.0000