Connexion

Stars
GP: 73 | W: 44 | L: 24 | OTL: 5 | P: 93
GF: 190 | GA: 146 | PP%: 17.76% | PK%: 84.75%
DG: Julien Desrosiers | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #1163 vs Comets
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Centre de jeu
Stars
44-24-5, 93pts
5
FINAL
4 Jayhawks
13-55-4, 30pts
Team Stats
L1SéquenceL1
21-13-2Fiche domicile8-25-3
23-11-3Fiche domicile5-30-1
7-2-1Derniers 10 matchs1-7-2
2.60Buts par match 1.72
2.00Buts contre par match 4.31
17.76%Pourcentage en avantage numérique10.33%
84.75%Pourcentage en désavantage numérique67.94%
Stars
44-24-5, 93pts
1
FINAL
2 Sags
31-34-6, 68pts
Team Stats
L1SéquenceW1
21-13-2Fiche domicile17-18-0
23-11-3Fiche domicile14-16-6
7-2-1Derniers 10 matchs4-5-1
2.60Buts par match 2.03
2.00Buts contre par match 2.07
17.76%Pourcentage en avantage numérique14.08%
84.75%Pourcentage en désavantage numérique82.29%
Stars
44-24-5, 93pts
2024-03-28
Comets
43-25-4, 90pts
Statistiques d’équipe
L1SéquenceL2
21-13-2Fiche domicile27-8-1
23-11-3Fiche visiteur16-17-3
7-2-110 derniers matchs5-5-0
2.60Buts par match 2.15
2.00Buts contre par match 2.15
17.76%Pourcentage en avantage numérique6.76%
84.75%Pourcentage en désavantage numérique87.04%
Stars
44-24-5, 93pts
2024-03-30
Seattle
50-17-4, 104pts
Statistiques d’équipe
L1SéquenceW8
21-13-2Fiche domicile30-5-2
23-11-3Fiche visiteur20-12-2
7-2-110 derniers matchs8-2-0
2.60Buts par match 2.66
2.00Buts contre par match 2.66
17.76%Pourcentage en avantage numérique14.21%
84.75%Pourcentage en désavantage numérique89.79%
Oil Kings
27-33-10, 64pts
2024-04-03
Stars
44-24-5, 93pts
Statistiques d’équipe
W2SéquenceL1
14-15-5Fiche domicile21-13-2
13-18-5Fiche visiteur23-11-3
5-4-110 derniers matchs7-2-1
2.26Buts par match 2.60
2.59Buts contre par match 2.60
13.99%Pourcentage en avantage numérique17.76%
82.26%Pourcentage en désavantage numérique84.75%
Meneurs d'équipe
Buts
Nicolas Aube-Kubel
27
Passes
Jake Bean
47
Points
Jake Bean
64
Plus/Moins
Nathan Smith
29
Victoires
Spencer Knight
36
Pourcentage d’arrêts
Devin Cooley
0.892

Statistiques d’équipe
Buts pour
190
2.60 GFG
Tirs pour
1521
20.84 Avg
Pourcentage en avantage numérique
17.8%
38 GF
Début de zone offensive
39.4%
Buts contre
146
2.00 GAA
Tirs contre
1281
17.55 Avg
Pourcentage en désavantage numérique
84.8%%
34 GA
Début de la zone défensive
38.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 50
Espoirs17


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
1Kaapo KakkoX100.00654392798685818140757472786454050740211925,002$
2Max ComtoisX100.007473637386848275547068647269590507002321,950,000$
3Nicolas Aube-KubelX100.0080546574808181745069666871695905070N0262944,000$
4Ondrej KaseX100.005943777576837570436464677077670506802613,000,000$
5Alexander Holtz (R)XX100.00584572727774616741626359685650050630201925,000$
6Linus Karlsson (R)X100.00594161686263646542626257655150050610222700,000$
7Nathan SmithX100.00574769696569636444615854635250050600232650,000$
8Egor Afanasyev (R)XX100.00654669666863626342595761625050050600213789,167$
9Filip Cederqvist (R)XX100.00634467646562626041575660605050050590223850,000$
10William Eklund (R)XX100.00564464675957576342625954635050050590193894,167$
11Jake BeanX100.006243757779867372406864707169590507002412,450,000$
12Kevin GravelX100.0063457869788076664060586864766605067N0301620,000$
13Thomas Harley (R)X100.00674375717467626740636069665150050650211894,167$
14Alec Regula (R)X100.00665158676961606340615567625050050620222866,667$
15Zachary Jones (R)X100.00604466725862616440625868655050050620211925,000$
16William Trudeau (R)X100.00635162696357576340625766635050050610193856,667$
17Albert Johansson (R)X100.00564065695961616140575760625050050590213820,000$
Rayé
1Antonio Stranges (R)XX100.00604068676157575851565459595050050580202560,000$
2Niklas Nordgren (R)X100.00444378636333363548322942345050050430222700,000$
MOYENNE D’ÉQUIPE100.0062467070706865654361596264575305063
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
1Spencer Knight (R)100.0082797983818279828281815952050740211925,000$
2Devin Cooley (R)100.007064636667676866676758545005061N0252620,000$
Rayé
1Philip Svedeback (R)100.0043645981384439413840405046050450203560,000$
MOYENNE D’ÉQUIPE100.006569677762646263626360544905060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Jake BeanStars (Dal)D721747642746012591105306916.19%63173924.1691322521870000174220%000000.7401000748
2Nicolas Aube-KubelStars (Dal)RW72272855255351971031814215314.92%6139819.4376132917100001008055.40%27800000.7938001856
3Max ComtoisStars (Dal)LW66222547184551341001884613211.70%7146522.2084123416500031784146.34%12300000.6416100276
4Ondrej KaseStars (Dal)RW722712391080531071653812316.36%11113815.811237530000574359.26%8100000.6903000354
5Kevin GravelStars (Dal)D72532372528099586617487.58%50152121.1311011301880112182200%000000.4900000141
6Kaapo KakkoStars (Dal)RW461916354802789169559911.24%688319.20279271290000292349.69%16100000.7947000310
7Thomas HarleyStars (Dal)D73328318240112465211345.77%58141719.41268271610001159000%000000.4400000402
8Nathan SmithStars (Dal)C731020302940229968125214.71%1132918.2117891751013673051.13%132800000.4500000123
9Alexander HoltzStars (Dal)LW/RW61131629121402862110306411.82%4114318.743582414901111012047.46%11800000.5102000133
10Egor AfanasyevStars (Dal)C/LW7371724538011211368304710.29%5141019.3323561710001992044.39%148000000.3400000120
11Alec RegulaStars (Dal)D7351823125201295037152613.51%32117616.121451795000071300%000000.3900000213
12William EklundStars (Dal)C/LW7331821616041928020373.75%3101313.88000090001420048.48%78800000.4100000110
13William TrudeauStars (Dal)D734151945759247222818.18%2293012.7400019000037100%000000.4100001021
14Filip CederqvistStars (Dal)LW/RW7361117426082516118369.84%5101113.86000020000401049.33%7500000.3400000212
15Linus KarlssonStars (Dal)RW73106160240938792308010.87%482311.28000120000004040.43%4700000.3901000200
16Zachary JonesStars (Dal)D7321416-62606954288247.14%36109615.01011434000083010%100000.2900000000
17Albert JohanssonStars (Dal)D730441012041195570%144966.8000001000012000%000000.1600000000
18Antonio StrangesStars (Dal)C/LW1000000410100%01515.7800000000010050.00%60000000000000
19Niklas NordgrenStars (Dal)RW1000000000000%01414.430000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne119318032750719348115146012691497410103912.02%3272002516.7937681052681726123121441381048.41%448700000.51828102383839
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Spencer KnightStars (Dal)61362050.8901.86361641111210170110.77827610433
2Devin CooleyStars (Dal)168400.8922.1279202282600000.75041272100
Statistiques d’équipe totales ou en moyenne77442450.8901.9144084131401277011317372533


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire 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 10Lien
Albert JohanssonStars (Dal)D212001-01-04Yes168 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$93,958$0$0$No820,000$820,000$Lien
Alec RegulaStars (Dal)D222000-08-06Yes207 Lbs6 ft4NoNoNoNo2Pro & Farm866,667$99,306$0$0$No866,667$Lien
Alexander HoltzStars (Dal)LW/RW202002-01-23Yes195 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Antonio StrangesStars (Dal)C/LW202002-02-05Yes181 Lbs5 ft10NoNoNoNo2Pro & Farm560,000$64,167$0$0$No560,000$Lien
Devin Cooley (contrat à 1 volet)Stars (Dal)G251997-05-25Yes192 Lbs6 ft5YesNoYesYes2Pro & Farm620,000$71,042$0$0$No620,000$Lien
Egor AfanasyevStars (Dal)C/LW212001-01-23Yes201 Lbs6 ft4NoNoNoNo3Pro & Farm789,167$90,425$0$0$No789,167$789,167$Lien
Filip CederqvistStars (Dal)LW/RW222000-08-23Yes196 Lbs6 ft3NoNoNoNo3Pro & Farm850,000$97,396$0$0$No850,000$850,000$Lien
Jake BeanStars (Dal)D241998-06-09No196 Lbs6 ft1NoNoYesYes1Pro & Farm2,450,000$280,729$0$0$NoLien
Kaapo KakkoStars (Dal)RW212001-02-13No206 Lbs6 ft2NoNoNoNo1Pro & Farm925,002$105,990$0$0$NoLien
Kevin Gravel (contrat à 1 volet)Stars (Dal)D301992-03-06No205 Lbs6 ft4YesNoYesYes1Pro & Farm620,000$71,042$0$0$NoLien
Linus KarlssonStars (Dal)RW221999-11-16Yes179 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$80,208$0$0$No700,000$Lien
Max ComtoisStars (Dal)LW231999-01-08No210 Lbs6 ft2NoNoNoNo2Pro & Farm1,950,000$223,438$0$0$No1,950,000$Lien
Nathan SmithStars (Dal)C231998-10-19No176 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$74,479$0$0$No650,000$Lien
Nicolas Aube-Kubel (contrat à 1 volet)Stars (Dal)RW261996-05-10No207 Lbs6 ft0YesNoYesYes2Pro & Farm944,000$108,167$44,000$5,042$No944,000$Lien
Niklas NordgrenStars (Dal)RW222000-05-04Yes183 Lbs5 ft9NoNoNoNo2Pro & Farm700,000$80,208$0$0$No700,000$Lien
Ondrej KaseStars (Dal)RW261995-11-08No187 Lbs6 ft0NoNoYesYes1Pro & Farm3,000,000$343,750$0$0$NoLien
Philip SvedebackStars (Dal)G202002-05-28Yes205 Lbs6 ft3NoNoNoNo3Pro & Farm560,000$64,167$0$0$No560,000$560,000$Lien
Spencer KnightStars (Dal)G212001-04-19Yes192 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Thomas HarleyStars (Dal)D212001-08-19Yes205 Lbs6 ft3NoNoNoNo1Pro & Farm894,167$102,457$0$0$NoLien
William EklundStars (Dal)C/LW192002-10-12Yes176 Lbs5 ft10NoNoNoNo3Pro & Farm894,167$102,457$0$0$No894,167$894,167$
William TrudeauStars (Dal)D192002-10-11Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm856,667$98,160$0$0$No856,667$856,667$
Zachary JonesStars (Dal)D212000-10-18Yes174 Lbs5 ft10NoNoNoNo1Pro & Farm925,000$105,990$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2222.23192 Lbs6 ft11.911,019,311$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ComtoisNathan SmithKaapo Kakko40122
2Alexander HoltzEgor AfanasyevNicolas Aube-Kubel30122
3Filip CederqvistWilliam EklundOndrej Kase20122
4Nicolas Aube-KubelKaapo KakkoLinus Karlsson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanKevin Gravel40122
2Thomas HarleyZachary Jones30122
3Alec RegulaWilliam Trudeau20122
4Albert JohanssonJake Bean10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max ComtoisNathan SmithKaapo Kakko60122
2Alexander HoltzEgor AfanasyevNicolas Aube-Kubel40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanKevin Gravel60122
2Thomas HarleyZachary Jones40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kaapo KakkoNicolas Aube-Kubel60122
2Max ComtoisOndrej Kase40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanKevin Gravel60122
2Thomas HarleyZachary Jones40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kaapo Kakko60122Jake BeanKevin Gravel60122
2Nicolas Aube-Kubel40122Thomas HarleyZachary Jones40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kaapo KakkoNicolas Aube-Kubel60122
2Max ComtoisOndrej Kase40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake BeanKevin Gravel60122
2Thomas HarleyZachary Jones40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max ComtoisNathan SmithKaapo KakkoJake BeanKevin Gravel
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max ComtoisNathan SmithKaapo KakkoJake BeanKevin Gravel
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Karlsson, William Eklund, Filip CederqvistLinus Karlsson, William EklundFilip Cederqvist
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alec Regula, William Trudeau, Albert JohanssonAlec RegulaWilliam Trudeau, Albert Johansson
Tirs de pénalité
Kaapo Kakko, Nicolas Aube-Kubel, Max Comtois, Ondrej Kase, Alexander Holtz
Gardien
#1 : Spencer Knight, #2 : Devin Cooley


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
1Admirals31100010752100000103212110000043140.6677111801766146116949551648059621327591200.00%100100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
2Baby Hawks32000001642210000013301100000031250.8336111701766146114349551648059651716666116.67%80100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
3Bears21000010844100000103211100000052341.000812200076614611374955164805927618343266.67%9366.67%0891187047.65%865182147.50%492105046.86%193813991580495914474
4Bruins21001000633110000003121000100032141.00061016007661461139495516480593371034700.00%30100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
5Cabaret Lady Mary Ann2010001023-11010000013-21000001010120.500224017661461132495516480593781827700.00%90100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
6Caroline21100000651110000005141010000014-320.500612180076614611434955164805935717461000.00%60100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
7Chiefs3100010123-11000000112-12100010011040.6672460176614611374955164805948192074600.00%8187.50%0891187047.65%865182147.50%492105046.86%193813991580495914474
8Chill4130000079-22020000025-32110000054120.25071219007661461180495516480596911367311218.18%17570.59%0891187047.65%865182147.50%492105046.86%193813991580495914474
9Comets22000000624110000002021100000042241.0006121801766146114749551648059211103912433.33%5180.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
10Cougars2020000069-31010000035-21010000034-100.0006101600766146113549551648059411512325240.00%6350.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
11Crunch11000000505000000000001100000050521.0005813017661461134495516480591344154250.00%20100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
12Heat3300000016610110000008352200000083561.00016284400766146118549551648059753222805240.00%11281.82%0891187047.65%865182147.50%492105046.86%193813991580495914474
13Jayhawks3200100017892200000012481000100054161.000173451007661461111149551648059531714844375.00%7271.43%0891187047.65%865182147.50%492105046.86%193813991580495914474
14Las Vegas33000000826220000007251100000010161.000816240276614611754955164805933914446116.67%6183.33%0891187047.65%865182147.50%492105046.86%193813991580495914474
15Manchots2010001034-1100000101011010000024-220.500347017661461142495516480593168546233.33%4175.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
16Marlies21000010523110000003121000001021141.000581300766146113949551648059341216467114.29%8187.50%0891187047.65%865182147.50%492105046.86%193813991580495914474
17Minnesota330000001064110000003212200000074361.000102030007661461163495516480595513106510110.00%50100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
18Monarchs32000001945220000007161000000123-150.8339172601766146117249551648059384165511327.27%8275.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
19Monsters2020000004-41010000002-21010000002-200.0000000076614611364955164805937131431400.00%70100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
20Monsters30300000211-92020000007-71010000024-200.0002460076614611494955164805963132260700.00%11463.64%0891187047.65%865182147.50%492105046.86%193813991580495914474
21Oceanics3030000029-71010000013-22020000016-500.0002461076614611454955164805951152456700.00%8187.50%0891187047.65%865182147.50%492105046.86%193813991580495914474
22Oil Kings22000000505110000004041100000010141.0005101502766146112849551648059301520367114.29%100100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
23Phantoms2010000147-31010000013-21000000134-110.25046100076614611274955164805930136388225.00%3166.67%0891187047.65%865182147.50%492105046.86%193813991580495914474
24Rocket220000001037110000005231100000051441.00010182800766146114749551648059331312527228.57%60100.00%1891187047.65%865182147.50%492105046.86%193813991580495914474
25Sags31200000811-31010000026-42110000065120.3338152300766146116149551648059519286713430.77%14285.71%0891187047.65%865182147.50%492105046.86%193813991580495914474
26Seattle1010000013-21010000013-20000000000000.00012300766146112249551648059203815200.00%40100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
27Senators22000000743110000004311100000031241.000712190076614611484955164805932910489222.22%4175.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
28Sound Tigers2020000036-31010000023-11010000013-200.0003470076614611374955164805937610297114.29%5340.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
29Spiders22000000422110000001011100000032141.0004711017661461132495516480593882039600.00%100100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
30Thunder220000001138110000005231100000061541.000111728007661461164495516480595210647000%30100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
31Wolf Pack211000004401010000023-11100000021120.50048120076614611424955164805937212749500.00%60100.00%0891187047.65%865182147.50%492105046.86%193813991580495914474
Total73372402154190146443618130003295742137191102122957223930.63719033852811376614611152149551648059128134949514942143817.76%2233484.75%1891187047.65%865182147.50%492105046.86%193813991580495914474
_Since Last GM Reset73372402154190146443618130003295742137191102122957223930.63719033852811376614611152149551648059128134949514942143817.76%2233484.75%1891187047.65%865182147.50%492105046.86%193813991580495914474
_Vs Conference3522801112102653718115000025537181711301110472819510.729102191293097661461175149551648059622186219735981919.39%1041486.54%1891187047.65%865182147.50%492105046.86%193813991580495914474
_Vs Division2253000004650-41122000002226-411310000024240100.227468913512766146114284955164805940410514247851713.73%641379.69%0891187047.65%865182147.50%492105046.86%193813991580495914474

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7393L1190338528152112813494951494113
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7337242154190146
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36181300329574
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37191121229572
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2143817.76%2233484.75%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
4955164805976614611
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
891187047.65%865182147.50%492105046.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
193813991580495914474


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 - 2023-10-1213Chiefs2Stars1BLXXSommaire du match
8 - 2023-10-1748Stars1Las Vegas0AWSommaire du match
10 - 2023-10-1959Stars2Admirals3ALSommaire du match
12 - 2023-10-2172Phantoms3Stars1BLSommaire du match
15 - 2023-10-2488Stars2Manchots4ALSommaire du match
17 - 2023-10-26108Marlies1Stars3BWSommaire du match
21 - 2023-10-30136Monsters2Stars0BLSommaire du match
23 - 2023-11-01142Stars3Heat1AWSommaire du match
24 - 2023-11-02152Stars1Oil Kings0AWSommaire du match
26 - 2023-11-04172Stars4Comets2AWSommaire du match
28 - 2023-11-06178Bruins1Stars3BWSommaire du match
31 - 2023-11-09194Stars0Monsters2ALSommaire du match
33 - 2023-11-11211Stars1Oceanics3ALSommaire du match
34 - 2023-11-12223Stars4Minnesota2AWSommaire du match
36 - 2023-11-14233Jayhawks2Stars6BWSommaire du match
40 - 2023-11-18264Monsters4Stars0BLSommaire du match
42 - 2023-11-20274Wolf Pack3Stars2BLSommaire du match
44 - 2023-11-22289Las Vegas2Stars5BWSommaire du match
46 - 2023-11-24305Heat3Stars8BWSommaire du match
50 - 2023-11-28332Stars0Oceanics3ALSommaire du match
52 - 2023-11-30351Stars5Heat2AWSommaire du match
54 - 2023-12-02356Thunder2Stars5BWSommaire du match
56 - 2023-12-04375Stars6Thunder1AWSommaire du match
58 - 2023-12-06388Stars1Cabaret Lady Mary Ann0AWXXSommaire du match
59 - 2023-12-07396Stars5Bears2AWSommaire du match
61 - 2023-12-09410Las Vegas0Stars2BWSommaire du match
63 - 2023-12-11430Cougars5Stars3BLSommaire du match
67 - 2023-12-15458Senators3Stars4BWSommaire du match
68 - 2023-12-16469Stars1Chiefs0AWSommaire du match
70 - 2023-12-18482Seattle3Stars1BLSommaire du match
73 - 2023-12-21505Comets0Stars2BWSommaire du match
75 - 2023-12-23514Stars1Chill3ALSommaire du match
79 - 2023-12-27536Stars0Chiefs1ALXSommaire du match
81 - 2023-12-29551Baby Hawks0Stars1BWSommaire du match
83 - 2023-12-31572Baby Hawks3Stars2BLXXSommaire du match
85 - 2024-01-02577Rocket2Stars5BWSommaire du match
87 - 2024-01-04593Monsters3Stars0BLSommaire du match
89 - 2024-01-06614Chill3Stars1BLSommaire du match
91 - 2024-01-08623Stars3Minnesota2AWSommaire du match
93 - 2024-01-10636Minnesota2Stars3BWSommaire du match
95 - 2024-01-12651Chill2Stars1BLSommaire du match
96 - 2024-01-13664Stars3Baby Hawks1AWSommaire du match
99 - 2024-01-16684Monarchs0Stars3BWSommaire du match
101 - 2024-01-18694Stars3Phantoms4ALXXSommaire du match
103 - 2024-01-20712Stars3Spiders2AWSommaire du match
104 - 2024-01-21721Stars1Sound Tigers3ALSommaire du match
106 - 2024-01-23730Stars3Cougars4ALSommaire du match
108 - 2024-01-25751Admirals2Stars3BWXXSommaire du match
110 - 2024-01-27760Bears2Stars3BWXXSommaire du match
120 - 2024-02-06784Stars5Crunch0AWSommaire du match
121 - 2024-02-07792Stars2Marlies1AWXXSommaire du match
124 - 2024-02-10806Stars5Rocket1AWSommaire du match
127 - 2024-02-13830Caroline1Stars5BWSommaire du match
129 - 2024-02-15847Stars4Chill1AWSommaire du match
131 - 2024-02-17850Oil Kings0Stars4BWSommaire du match
133 - 2024-02-19868Stars3Bruins2AWXSommaire du match
134 - 2024-02-20877Stars2Wolf Pack1AWSommaire du match
136 - 2024-02-22892Stars3Senators1AWSommaire du match
138 - 2024-02-24909Stars1Caroline4ALSommaire du match
140 - 2024-02-26924Sound Tigers3Stars2BLSommaire du match
141 - 2024-02-27936Stars2Monsters4ALSommaire du match
143 - 2024-02-29947Oceanics3Stars1BLSommaire du match
145 - 2024-03-02966Sags6Stars2BLSommaire du match
148 - 2024-03-05989Stars5Sags3AWSommaire du match
151 - 2024-03-081007Stars2Admirals0AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091021Stars2Monarchs3ALXXSommaire du match
155 - 2024-03-121036Cabaret Lady Mary Ann3Stars1BLSommaire du match
157 - 2024-03-141053Spiders0Stars1BWSommaire du match
159 - 2024-03-161068Monarchs1Stars4BWSommaire du match
163 - 2024-03-201096Jayhawks2Stars6BWSommaire du match
165 - 2024-03-221110Manchots0Stars1BWXXSommaire du match
167 - 2024-03-241130Stars5Jayhawks4AWXSommaire du match
169 - 2024-03-261147Stars1Sags2ALSommaire du match
171 - 2024-03-281163Stars-Comets-
173 - 2024-03-301178Stars-Seattle-
177 - 2024-04-031199Oil Kings-Stars-
180 - 2024-04-061220Stars-Baby Hawks-
181 - 2024-04-071236Stars-Monsters-
183 - 2024-04-091246Crunch-Stars-
185 - 2024-04-111262Oceanics-Stars-
187 - 2024-04-131271Seattle-Stars-
191 - 2024-04-171305Chiefs-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets205
Assistance71,98936,000
Assistance PCT99.98%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 3000 - 99.99% 53,993$1,943,736$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,883,102$ 2,024,085$ 2,024,085$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,542$ 1,883,102$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
269,963$ 22 10,542$ 231,924$




Stars Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Stars Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Stars Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Stars Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Stars Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA