Stars
GP: 15 | W: 8 | L: 7
GF: 60 | GA: 59 | PP%: 24.00% | PK%: 70.73%
DG: Steve Bilodeau | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Stars
8-7-0, 16pts
2
FINAL
3 Condors
16-6-0, 32pts
Team Stats
L4StreakW3
5-3-0Home Record7-4-0
3-4-0Away Record9-2-0
4-6-0Last 10 Games8-1-1
4.00Buts par match 3.59
3.93Buts contre par match 2.59
24.00%Pourcentage en avantage numérique22.22%
70.73%Pourcentage en désavantage numérique83.10%
Stars
8-7-0, 16pts
1
FINAL
7 Condors
16-6-0, 32pts
Team Stats
L4StreakW3
5-3-0Home Record7-4-0
3-4-0Away Record9-2-0
4-6-0Last 10 Games8-1-1
4.00Buts par match 3.59
3.93Buts contre par match 2.59
24.00%Pourcentage en avantage numérique22.22%
70.73%Pourcentage en désavantage numérique83.10%
Meneurs d'équipe
Luke KuninButs
Luke Kunin
1
Luke KuninPasses
Luke Kunin
1
Luke KuninPoints
Luke Kunin
2
Luke KuninPlus/Moins
Luke Kunin
2
Jordan PapirnyVictoires
Jordan Papirny
7
Dustin WolfPourcentage d’arrêts
Dustin Wolf
0.926

Statistiques d’équipe
Buts pour
60
4.00 GFG
Tirs pour
558
37.20 Avg
Pourcentage en avantage numérique
24.0%
12 GF
Début de zone offensive
41.9%
Buts contre
59
3.93 GAA
Tirs contre
505
33.67 Avg
Pourcentage en désavantage numérique
70.7%
12 GA
Début de la zone défensive
38.5%
Information d’équipe

Directeur généralSteve Bilodeau
EntraîneurKarl Taylor
DivisionCentral Division
ConférenceWestern Conference
CapitaineGabriel Dumont
Assistant #1Alex Belzile
Assistant #2Sam Gagner


Informations de l’aréna

Capacité3,000
Assistance2,187
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 80
Espoirs30


Historique d'équipe

Saison actuelle8-7
Historique55-17-11 (0.663%)
Apparitions séries éliminatoires 0
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
1Kiefer Sherwood0XXX100.00835979687389876663676861676971075670293750,000$
2Sam Gagner (A)0XXX100.00633792677278776668636564698577075660353750,000$
3Alex Belzile (A)22XX100.00654172677488836663686465677375075660331999,999$
4Taylor Raddysh (R)0X100.00713792678387896458656667636869075660261950,000$
5Hendrix Lapierre (R)0X100.00613787697079856773686263656264075650222950,000$
6Zac Dalpe26XX100.00713982668086846365616460667579075650343750,000$
7Michael Eyssimont0X100.00746965697582876774686263666870075650281950,000$
8Tanner Laczynski (R)0X100.00663792657583756670656364666769075650271950,000$
9Lias Andersson (R)24XX100.007538816473898262686163606467680756402511,097,000$
10Gabriel Dumont (C)40XX100.00605472636983796167606264617479075630333999,999$
11Garrett Pilon (R)0X100.00653790637382816267646061596668075630261950,000$
12Jasper Weatherby (R)0XX100.00824279599175865864565762586668075620261950,000$
13Adam Ginning (R)0X100.00734270638380855930586264506566075630242950,000$
14Ryker Evans (R)0X100.00683973677087856530685762496365075630222950,000$
15Logan Mailloux (R)0X100.00754267658789736430665862506163075630213950,000$
16Tyler Kleven (R)0X100.00744275638681726230655866496264075630223950,000$
17Scott Perunovich (R)0X100.00603690676581746630715359496668075630261950,000$
18Cameron Crotty (R)0X100.00793985598075825830575662516567075620251950,000$
Rayé
1Chaz Lucius (R)0X100.00653887637476646271655658626163075610212950,000$
2Martin Chromiak (R)0X100.00633887617285835862596056616364075610222950,000$
3John Farinacci (R)0X100.00623793637277725869615759626365075610233950,000$
4Curtis Douglas (R)0X100.00908253569978825465575563566466075610241950,000$
5Nolan Stevens0X100.00714084588071795766595658556870075610281950,000$
6Jared Davidson (R)0X100.00624074607187665763546156606264075590223950,000$
7Jacob MacDonald0X100.00704085657580786430686662577173075650313750,000$
8Jared McIsaac (R)0X100.00683887597766755830575354466466075600241950,000$
9Jeremy Davies0X100.00573966596877855730585660496870075600271950,000$
10Nolan Allan (R)0X100.00705575587965705730565462466163075590213950,000$
11Michael Vukojevic (R)0X100.00764182568565755530545357456365075590231950,000$
MOYENNE D’ÉQUIPE100.0070438063778079615362606158676807563
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 Papirny100.0067726771666567666567666881075610282950,000$
2Peyton Jones100.0061706588605961605961606881075590281750,000$
Rayé
MOYENNE D’ÉQUIPE100.006471668063626463626463688107560
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Karl Taylor71727374827670CAN533500,000$


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
1Sam GagnerStars (DAL)C/LW/RW15513181002275425529.26%931420.9518910430002390247.96%19600001.1500000010
2Hendrix LapierreStars (DAL)C158917200104880184810.00%633622.411121940000013051.46%47800001.0100000210
3Logan MaillouxStars (DAL)D1511314-11803817206105.00%2734823.27022832000023100.00%000000.8000000000
4Alex BelzileStars (DAL)C/RW1510313-220212634122629.41%121014.04415742000011043.93%21400001.2300000400
5Lias AnderssonStars (DAL)C/LW155712220401950103910.00%234022.67134842000031045.16%3100000.7100000030
6Gabriel DumontStars (DAL)C/RW156410240202248173312.50%432821.92112740000001040.91%2200000.6100000010
7Kiefer SherwoodStars (DAL)C/LW/RW14461016036202981913.79%422916.391127350000380133.33%1800000.8700000011
8Michael EyssimontStars (DAL)C154610011533363762110.81%219613.1100000000001057.31%25300001.0200010101
9Taylor RaddyshStars (DAL)RW153692201424438366.98%524616.44000130000160050.00%2200000.7300000000
10Jacob MacDonaldStars (DAL)D12167-12081216686.25%821718.1310151100006000.00%000000.6400000000
11Scott PerunovichStars (DAL)D15257-440617227129.09%2036224.172021745000029010.00%000000.3900000000
12Tyler KlevenStars (DAL)D15246-320047133110236.45%2333422.280331142000019000.00%000000.3600000010
13Adam GinningStars (DAL)D15055380311215690.00%1628018.71000832000030000.00%000000.3600000000
14Cameron CrottyStars (DAL)D1405521001784460.00%2020814.8600000000013000.00%000000.4800000100
15Garrett PilonStars (DAL)C15235000621161812.50%11016.7400000000000051.24%12100000.9900000000
16Tanner LaczynskiStars (DAL)C152350003151661712.50%31177.83000000000160047.83%2300000.8500000000
17Ryker EvansStars (DAL)D110444206143160.00%61029.350000000001000.00%000000.7800000000
18Jasper WeatherbyStars (DAL)C/LW14314060143911033.33%0946.7600000000000175.00%400000.8500000001
19Zac DalpeStars (DAL)C/RW15123-2001213254174.00%218312.2200001000070061.76%3400000.3300000000
20Luke KuninStarsC/RW11122003342325.00%01414.6200000000000056.25%1600002.7400000001
21Zemgus GirgensonsStarsC/LW/RW1000-400111030.00%01414.200000000000000.00%000000.0000000000
22Nolan AllanStars (DAL)D1000200011000.00%11111.750000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne27860106166697536837255815840610.75%160459416.5312203210841600022498550.63%143200000.7200010884
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
1Jordan PapirnyStars (DAL)147700.8833.8687100564770010.0000141100
2Dustin WolfStars11000.9262.0060002270000.000010000
Statistiques d’équipe totales ou en moyenne158700.8853.7493100585040010.0000151100


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)D242000-01-13Yes196 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Alex BelzileStars (DAL)C/RW331991-08-31No196 Lbs6 ft0NoNoNo1Pro & Farm999,999$999,999$0$0$NoLien / Lien NHL
Cameron CrottyStars (DAL)D251999-05-05Yes182 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Chaz LuciusStars (DAL)C212003-05-02Yes185 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Curtis DouglasStars (DAL)C242000-03-06Yes235 Lbs6 ft9NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Gabriel DumontStars (DAL)C/RW331990-10-06No195 Lbs5 ft10NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Garrett PilonStars (DAL)C261998-04-13Yes191 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Hendrix LapierreStars (DAL)C222002-02-09Yes180 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jacob MacDonaldStars (DAL)D311993-02-26No204 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Jared DavidsonStars (DAL)C222002-07-07Yes188 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jared McIsaacStars (DAL)D242000-03-27Yes196 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jasper WeatherbyStars (DAL)C/LW261998-01-22Yes222 Lbs6 ft4NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Jeremy DaviesStars (DAL)D271996-12-04No180 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
John FarinacciStars (DAL)C232001-02-14Yes197 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jordan PapirnyStars (DAL)G281996-04-10No169 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Kiefer SherwoodStars (DAL)C/LW/RW291995-03-31No194 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Lias Andersson (contrat à 1 volet)Stars (DAL)C/LW251998-10-13Yes185 Lbs6 ft1NoNoNo1Pro & Farm1,097,000$1,097,000$1,097,000$0$NoLien / Lien NHL
Logan MaillouxStars (DAL)D212003-04-15Yes220 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Martin ChromiakStars (DAL)RW222002-08-20Yes187 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Michael EyssimontStars (DAL)C281996-09-09No201 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Michael VukojevicStars (DAL)D232001-06-08Yes207 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Nolan AllanStars (DAL)D212003-04-28Yes195 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Nolan StevensStars (DAL)LW281996-07-22No183 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Peyton JonesStars (DAL)G281996-02-14No209 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Ryker EvansStars (DAL)D222001-12-13Yes189 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sam GagnerStars (DAL)C/LW/RW351989-08-10No200 Lbs5 ft11NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Scott PerunovichStars (DAL)D261998-08-18Yes175 Lbs5 ft10NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Tanner LaczynskiStars (DAL)C271997-06-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Taylor RaddyshStars (DAL)RW261998-02-18Yes198 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Tyler KlevenStars (DAL)D222002-01-10Yes200 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Zac DalpeStars (DAL)C/RW341989-11-01No197 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.00195 Lbs6 ft11.84925,710$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lias AnderssonHendrix LapierreGabriel Dumont40023
2Sam GagnerMichael EyssimontTaylor Raddysh30122
3Kiefer SherwoodAlex BelzileZac Dalpe20122
4Jasper WeatherbyGarrett PilonTanner Laczynski10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryker EvansLogan Mailloux35014
2Tyler KlevenScott Perunovich35014
3Cameron CrottyAdam Ginning20041
4Ryker EvansLogan Mailloux10023
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kiefer SherwoodHendrix LapierreGabriel Dumont50005
2Lias AnderssonSam GagnerAlex Belzile50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam GinningLogan Mailloux50014
2Tyler KlevenScott Perunovich50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam GagnerKiefer Sherwood60131
2Tanner LaczynskiTaylor Raddysh40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxAdam Ginning60131
2Tyler KlevenScott Perunovich40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Gagner60140Logan MaillouxAdam Ginning60140
2Alex Belzile40140Tyler KlevenScott Perunovich40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam GagnerKiefer Sherwood60023
2Hendrix LapierreLias Andersson40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan MaillouxAdam Ginning50023
2Tyler KlevenScott Perunovich50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodSam GagnerAlex BelzileTyler KlevenAdam Ginning
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kiefer SherwoodSam GagnerAlex BelzileTyler KlevenAdam Ginning
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zac Dalpe, Hendrix Lapierre, Alex BelzileZac Dalpe, Hendrix LapierreZac Dalpe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Perunovich, Cameron Crotty, Logan MaillouxScott PerunovichScott Perunovich, Cameron Crotty
Tirs de pénalité
Kiefer Sherwood, Sam Gagner, Alex Belzile, Taylor Raddysh, Zac Dalpe
Gardien
#1 : Jordan Papirny, #2 : Peyton Jones
Lignes d’attaque personnalisées en prolongation
Kiefer Sherwood, Sam Gagner, Alex Belzile, Taylor Raddysh, Zac Dalpe, Hendrix Lapierre, Hendrix Lapierre, Garrett Pilon, Tanner Laczynski, Lias Andersson, Gabriel Dumont
Lignes de défense personnalisées en prolongation
Logan Mailloux, Adam Ginning, Tyler Kleven, Scott Perunovich, 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
1Admirals5410000024168330000001410421100000106480.80024446800162022220915417820818131322011822731.82%9455.56%030860051.33%27055149.00%14728152.31%37426036310919698
2Condors404000001020-1020200000710-320200000310-700.000101525001620222126154178208181556039110700.00%16381.25%030860051.33%27055149.00%14728152.31%37426036310919698
3Roadrunners64200000262333210000014131321000001210280.66726477310162022222315417820818219683814021523.81%16568.75%030860051.33%27055149.00%14728152.31%37426036310919698
Total158700000605918530000035332734000002526-1160.533601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
_Since Last GM Reset158700000605918530000035332734000002526-1160.533601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
_Vs Conference158700000605918530000035332734000002526-1160.533601061661016202225581541782081850516097368501224.00%411270.73%030860051.33%27055149.00%14728152.31%37426036310919698
_Vs Division11830000050391165100000282355320000022166160.72750911411016202224321541782081835010058258431227.91%25964.00%030860051.33%27055149.00%14728152.31%37426036310919698

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1516L4601061665585051609736810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
158700006059
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85300003533
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
73400002526
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
501224.00%411270.73%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
154178208181620222
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
30860051.33%27055149.00%14728152.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
37426036310919698


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
2 - 2025-04-255Admirals2Stars3BWSommaire du match
4 - 2025-04-2713Admirals4Stars6BWSommaire du match
6 - 2025-04-2921Stars2Admirals5ALSommaire du match
8 - 2025-05-0129Stars8Admirals1AWSommaire du match
10 - 2025-05-0337Admirals4Stars5BWXSommaire du match
15 - 2025-05-0859Roadrunners5Stars3BLSommaire du match
16 - 2025-05-0963Roadrunners5Stars7BWSommaire du match
17 - 2025-05-1067Stars5Roadrunners4AWXSommaire du match
18 - 2025-05-1171Stars3Roadrunners5ALSommaire du match
19 - 2025-05-1275Roadrunners3Stars4BWSommaire du match
20 - 2025-05-1379Stars4Roadrunners1AWSommaire du match
22 - 2025-05-1586Condors5Stars3BLSommaire du match
23 - 2025-05-1688Condors5Stars4BLSommaire du match
24 - 2025-05-1790Stars2Condors3ALSommaire du match
25 - 2025-05-1892Stars1Condors7ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4535
Assistance12,2625,231
Assistance PCT76.64%65.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 2187 - 72.89% 114,824$918,594$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,760,000$ 2,760,000$ 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$ 0 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
1Alex Belzile8235589312188516030111.63%28172621.05825336200026251.50%11.0804
2Kiefer Sherwood8233498214823121483349.88%27183722.417121956011510249.29%00.8915
3Sam Gagner823052822023918228010.71%19161919.751111224800029250.36%11.0115
4Hendrix Lapierre82344781984223328012.14%19170120.75614205310125652.66%00.9512
5Taylor Raddysh8151308122188512927518.55%18144517.851012225410119348.48%21.1233

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
2Jordan Papirny33000.9601.321820041010000.0000

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
Total Saison régulière824517087233312656641255045201841335141201204203147132151203316059360312799951430351018981100059259077867319252707828.89%2575279.77%41599311051.41%1472279752.63%740139553.05%2059143918535911061539
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