Connexion

Stars
GP: 57 | W: 36 | L: 14 | OTL: 7 | P: 79
GF: 266 | GA: 188 | PP%: 26.45% | PK%: 71.95%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #948 vs Monsters
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Centre de jeu
Stars
36-14-7, 79pts
4
FINAL
2 Gulls
29-26-4, 62pts
Team Stats
W3StreakL1
20-7-3Home Record14-14-1
16-7-4Away Record15-12-3
6-2-2Last 10 Games4-5-1
4.67Buts par match 4.14
3.30Buts contre par match 3.97
26.45%Pourcentage en avantage numérique28.14%
71.95%Pourcentage en désavantage numérique70.81%
Roadrunners
21-31-6, 48pts
3
FINAL
12 Stars
36-14-7, 79pts
Team Stats
L2StreakW3
10-17-2Home Record20-7-3
11-14-4Away Record16-7-4
1-7-2Last 10 Games6-2-2
4.24Buts par match 4.67
5.17Buts contre par match 3.30
27.27%Pourcentage en avantage numérique26.45%
71.43%Pourcentage en désavantage numérique71.95%
Stars
36-14-7, 79pts
2022-10-10
Monsters
31-25-3, 65pts
Statistiques d’équipe
W3SéquenceW3
20-7-3Fiche domicile15-12-2
16-7-4Fiche visiteur16-13-1
6-2-210 derniers matchs7-3-0
4.67Buts par match 5.25
3.30Buts contre par match 5.25
26.45%Pourcentage en avantage numérique33.93%
71.95%Pourcentage en désavantage numérique61.19%
IceHogs
16-37-4, 36pts
2022-10-12
Stars
36-14-7, 79pts
Statistiques d’équipe
L4SéquenceW3
11-17-1Fiche domicile20-7-3
5-20-3Fiche visiteur16-7-4
2-8-010 derniers matchs6-2-2
4.86Buts par match 4.67
6.33Buts contre par match 4.67
34.64%Pourcentage en avantage numérique26.45%
53.99%Pourcentage en désavantage numérique71.95%
Stars
36-14-7, 79pts
2022-10-14
Bears
39-17-2, 80pts
Statistiques d’équipe
W3SéquenceW5
20-7-3Fiche domicile20-7-2
16-7-4Fiche visiteur19-10-0
6-2-210 derniers matchs7-3-0
4.67Buts par match 4.36
3.30Buts contre par match 4.36
26.45%Pourcentage en avantage numérique28.05%
71.95%Pourcentage en désavantage numérique75.54%
Meneurs d'équipe
Riley DamianiButs
Riley Damiani
40
Ty DellandreaPasses
Ty Dellandrea
51
Ty DellandreaPoints
Ty Dellandrea
75
Riley DamianiPlus/Moins
Riley Damiani
57
Anton KhudobinVictoires
Anton Khudobin
23
Braden HoltbyPourcentage d’arrêts
Braden Holtby
0.91

Statistiques d’équipe
Buts pour
266
4.67 GFG
Tirs pour
2207
38.72 Avg
Pourcentage en avantage numérique
26.5%
41 GF
Début de zone offensive
39.1%
Buts contre
188
3.30 GAA
Tirs contre
1995
35.00 Avg
Pourcentage en désavantage numérique
72.0%
46 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur général
EntraîneurNeil Graham
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure21
Limite contact 41 / 20
Espoirs0


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
1Marian StudenicX100.006339866475807966616566686466685340650231750,000$
2Jacob PetersonX98.006134836974789166736567626864675640640222842,005$
3Ty DellandreaX98.007638826874838867776661606663658440640212863,333$
4Riley DamianiX96.005637816865838667716766626864655640640222803,333$
5Joel KivirantaX98.0075348467717682675764645867666941406402621,050,000$
6Rhett GardnerX98.007843865985778661746061615967695640630262750,000$
7Anthony LouisX100.0057359265619293636066645666687041406302710$
8Tanner KeroX100.006236936271777964706659635671733440630292750,000$
9Riley TufteX100.007981775997768561546060556165677840620241925,000$
10Adam MascherinXX100.0068558567686385615859615858586071406102310$
11Alexander PetrovicX98.0081717362907488643063596548717363406403010$
12Benjamin GleasonX100.006750806879758463506365636761637540630241750,000$
13Thomas HarleyX98.007238806584798664306560635063658240630203863,333$
14Joseph CecconiX100.007335745681688256305956594666685340590251750,000$
15Dawson BarteauxX100.006538925475626656305455554563655140570222783,333$
16Jerad RosburgX100.006842655776678256305453544567694440570252750,000$
Rayé
MOYENNE D’ÉQUIPE99.00694482637776846353626160586567594062
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
1Braden Holtby100.008279748081808281808281858751406703212,000,000$
2Anton Khudobin97.007978777178788079788079799142406503623,333,333$
Rayé
1Adam Scheel100.00707374826968706968706963695340600232925,000$
2Colton Point100.00636869936261636261636264715640560241750,000$
MOYENNE D’ÉQUIPE99.2574757482737274737274737380514062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Neil Graham64636972555290CAN363900,000$


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
1Ty DellandreaStars (DAL)C57245175293601491412076315411.59%15106918.76512172297000094018.76101000001.4001000565
2Riley DamianiStars (DAL)C574035755720221062315316017.32%1685114.9312312270000110214.9370700011.7600000673
3Joel KivirantaStars (DAL)LW493023532218088912195915313.70%696119.6333621870000533219.639900111.1001000513
4Rhett GardnerStars (DAL)C57163652322409884155579810.32%14101117.7435825950000100317.7459200011.0301000333
5Alexander PetrovicStars (DAL)D5714365036761015259106357513.21%84121021.23581350122000099000.00%000000.8300101120
6Thomas HarleyStars (DAL)D476424827200886310530595.71%93109123.232131544990000102100.00%000000.8800000024
7Marian StudenicStars (DAL)LW2823244727802268112298920.54%1467324.0461716670003855224.0427400021.4002000631
8Anthony LouisStars (DAL)LW5717264314601565173571219.83%1391616.070338470001482016.079300000.9411000024
9Tanner KeroStars (DAL)C43132740201201810615231968.55%881619.0032523770001342119.0074500000.9800000112
10Benjamin GleasonStars (DAL)D41142438283610695098306214.29%7495123.204374396000194200.00%000000.8000002103
11Joseph CecconiStars (DAL)D578283632220873353244815.09%59107818.923691994000085000.00%000000.6700000101
12Riley TufteStars (DAL)LW577222922401095499514847.37%969912.2701100000021112.275000000.8300101003
13Dawson BarteauxStars (DAL)D578182616120643056163014.29%6477113.5300002000053000.00%000000.6700000111
14Nicholas CaamanoStarsRW191016269140444569216914.49%640621.3733610460000411121.375200001.2801000122
15Joel L'EsperanceStarsRW251013239160484795307510.53%1352020.810448340003710020.815700000.8800000220
16Jacob PetersonStars (DAL)C1912921720205291257913.19%541121.6813411420002372021.6849700001.0200000121
17Jerad RosburgStars (DAL)D380151582205016198120.00%4055014.4800014000016000.00%000000.5500000000
18Adam MascherinStars (DAL)C/LW57581342071550112210.00%61622.8510136000028002.853100001.6000000010
19Joel HanleyStarsD91101141202418241174.17%1122424.92022929000018000.00%000000.9800000003
Statistiques d’équipe totales ou en moyenne83125846372140338030116011382110604149312.23%5501437717.304071111325108000011895331256.24%420700151.0017204343539
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
1Anton KhudobinStars (DAL)3623830.9083.1420426210711660210.85773332300
2Braden HoltbyStars (DAL)2312630.9103.10123800647150300.00%02222010
Statistiques d’équipe totales ou en moyenne59351460.9093.1332806217118810510.85775554310


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 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 MascherinStars (DAL)C/LW231998-06-06No205 Lbs5 ft10NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Adam ScheelStars (DAL)G231999-05-01No192 Lbs6 ft3NoNoNo2Pro & Farm925,000$278,495$0$0$No925,000$Lien / Lien NHL
Alexander PetrovicStars (DAL)D301992-03-03No216 Lbs6 ft4NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Anthony LouisStars (DAL)LW271995-02-10No151 Lbs5 ft7NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Anton KhudobinStars (DAL)G361986-05-07No195 Lbs5 ft11NoNoNo2Pro & Farm3,333,333$1,003,584$0$0$No3,333,333$Lien / Lien NHL
Benjamin GleasonStars (DAL)D241998-03-25No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien
Braden HoltbyStars (DAL)G321989-09-16No215 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$602,151$0$0$NoLien / Lien NHL
Colton PointStars (DAL)G241998-03-04No235 Lbs6 ft4NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Dawson BarteauxStars (DAL)D222000-01-12No185 Lbs6 ft1NoNoNo2Pro & Farm783,333$235,842$0$0$No783,333$Lien / Lien NHL
Jacob PetersonStars (DAL)C221999-07-19No180 Lbs6 ft1NoNoNo2Pro & Farm842,005$253,507$0$0$No842,005$Lien
Jerad RosburgStars (DAL)D251996-06-18No200 Lbs6 ft1NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Joel KivirantaStars (DAL)LW261996-03-23No180 Lbs5 ft11NoNoNo2Pro & Farm1,050,000$316,129$0$0$No1,050,000$Lien / Lien NHL
Joseph CecconiStars (DAL)D251997-05-23No210 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Marian StudenicStars (DAL)LW231998-10-28No181 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Rhett GardnerStars (DAL)C261996-02-28No210 Lbs6 ft3NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Riley DamianiStars (DAL)C222000-03-20No170 Lbs5 ft10NoNoNo2Pro & Farm803,333$241,864$0$0$No803,333$Lien / Lien NHL
Riley TufteStars (DAL)LW241998-04-10No220 Lbs6 ft6NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Tanner KeroStars (DAL)C291992-07-24No185 Lbs6 ft0NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Thomas HarleyStars (DAL)D202001-08-19No205 Lbs6 ft3NoNoNo3Pro & Farm863,333$259,928$0$0$No863,333$863,333$Lien / Lien NHL
Ty DellandreaStars (DAL)C212000-07-21No195 Lbs6 ft0NoNoNo2Pro & Farm863,333$259,928$0$0$No863,333$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.20196 Lbs6 ft11.60881,934$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ty DellandreaRiley Damiani40122
2Joel KivirantaJacob PetersonRhett Gardner30122
3Anthony LouisTanner KeroRiley Tufte20122
4Riley TufteRiley Damiani10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicThomas Harley40122
2Benjamin GleasonJoseph Cecconi30122
3Jerad RosburgDawson Barteaux20122
4Alexander PetrovicThomas Harley10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ty DellandreaRiley Damiani60122
2Joel KivirantaJacob PetersonRhett Gardner40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicThomas Harley60122
2Benjamin GleasonJoseph Cecconi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joel Kiviranta60122
2Ty DellandreaJacob Peterson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicThomas Harley60122
2Benjamin GleasonJoseph Cecconi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Alexander PetrovicThomas Harley60122
2Joel Kiviranta40122Benjamin GleasonJoseph Cecconi40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel Kiviranta60122
2Ty DellandreaJacob Peterson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander PetrovicThomas Harley60122
2Benjamin GleasonJoseph Cecconi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ty DellandreaRiley DamianiAlexander PetrovicThomas Harley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ty DellandreaRiley DamianiAlexander PetrovicThomas Harley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Mascherin, Tanner Kero, Anthony LouisAdam Mascherin, Tanner KeroAnthony Louis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jerad Rosburg, Dawson Barteaux, Benjamin GleasonJerad RosburgDawson Barteaux, Benjamin Gleason
Tirs de pénalité
, Joel Kiviranta, Ty Dellandrea, Jacob Peterson, Tanner Kero
Gardien
#1 : Anton Khudobin, #2 : Braden Holtby
Lignes d’attaque personnalisées en prolongation
, Joel Kiviranta, Ty Dellandrea, Jacob Peterson, Tanner Kero, Riley Damiani, Riley Damiani, Anthony Louis, Rhett Gardner, Riley Tufte, Adam Mascherin
Lignes de défense personnalisées en prolongation
Alexander Petrovic, Thomas Harley, Benjamin Gleason, Joseph Cecconi, Jerad Rosburg


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
1Admirals320000101275210000108621100000041361.000121931001178957310568273976726983920608112.50%9366.67%01039196552.88%1031204350.47%521101251.48%13769791359397710355
2Barrucada11000000642000000000001100000064221.00061016001178957343682739767265512836200.00%40100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
3Bears32100000131212110000078-11100000064240.6671325380011789573100682739767267930205110220.00%10460.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
4Bruins2020000049-5000000000002020000049-500.000481200117895738268273976726952814478112.50%7271.43%01039196552.88%1031204350.47%521101251.48%13769791359397710355
5Canucks11000000514110000005140000000000021.00051015001178957335682739767263010824600.00%40100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
6Checkers1010000023-11010000023-10000000000000.000235001178957338682739767263491520400.00%5260.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
7Chekers2100100015105100010008711100000073441.000152641001178957310068273976726733221534375.00%8362.50%01039196552.88%1031204350.47%521101251.48%13769791359397710355
8Comets11000000624110000006240000000000021.000611170011789573456827397672643104205240.00%2150.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
9Condors10001000431000000000001000100043121.0004812001178957333682739767263866214125.00%30100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
10Crunch11000000624110000006240000000000021.0006111700117895734768273976726367623200.00%20100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
11Eagles1000010045-1000000000001000010045-110.5004711001178957332682739767263210623100.00%2150.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
12Griffins20100100810-21010000045-11000010045-110.250815230011789573746827397672675258304250.00%4250.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
13Gulls220000001129110000007071100000042241.0001120310111789573896827397672659151246100.00%6183.33%01039196552.88%1031204350.47%521101251.48%13769791359397710355
14Heat22000000175121100000073411000000102841.00017304700117895731076827397672664174448225.00%10100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
15IceHogs2200000015114110000007431100000087141.00015304500117895737068273976726963623365120.00%8275.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
16Islanders11000000633000000000001100000063321.0006121800117895735068273976726308418300.00%10100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
17Marlies22000000844110000004221100000042241.0008122000117895737868273976726822114363266.67%6183.33%01039196552.88%1031204350.47%521101251.48%13769791359397710355
18Monsters11000000835110000008350000000000021.000814220011789573526827397672631168153133.33%4175.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
19Moose311001001213-11100000041320100100812-430.5001221330011789573132682739767261253312647228.57%5340.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
20Penguins210000016421000000123-11100000041330.7506121800117895737568273976726422017424125.00%60100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
21Phantoms210001008531000010023-11100000062430.7508162400117895737668273976726611516418112.50%7271.43%01039196552.88%1031204350.47%521101251.48%13769791359397710355
22Reign2010010068-21000010023-11010000045-110.250611170011789573616827397672669158394125.00%3166.67%01039196552.88%1031204350.47%521101251.48%13769791359397710355
23Roadrunners4310000025151022000000186122110000079-260.75025426700117895731906827397672614434378811327.27%15566.67%01039196552.88%1031204350.47%521101251.48%13769791359397710355
24Rocket1010000013-2000000000001010000013-200.0001230011789573226827397672633119173133.33%110.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
25Senators22000000844110000003211100000052341.000814220011789573636827397672653883812433.33%40100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
26Silver Knights21000100963110000006241000010034-130.7509162500117895736068273976726862612372150.00%5180.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
27Thunderbirds431000001810832100000141041100000040460.75018314901117895731576827397672613028247912433.33%11372.73%01039196552.88%1031204350.47%521101251.48%13769791359397710355
28Wild312000001112-120200000710-31100000042220.333112233001178957388682739767261193724673266.67%10460.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
29Wolf Pack11000000633110000006330000000000021.00061117001178957339682739767262266273266.67%30100.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355
30Wolves2020000069-31010000035-21010000034-100.0006101610117895736468273976726611616445120.00%8362.50%01039196552.88%1031204350.47%521101251.48%13769791359397710355
Total57331402611266188783018701211146945227157014001209426790.6932664797451211789573220768273976726199558039011861554126.45%1644671.95%01039196552.88%1031204350.47%521101251.48%13769791359397710355
_Since Last GM Reset57331402611266188783018701211146945227157014001209426790.6932664797451211789573220768273976726199558039011861554126.45%1644671.95%01039196552.88%1031204350.47%521101251.48%13769791359397710355
_Vs Conference3320602410170112581711301110935340169301300775918500.75817030347302117895731302682739767261218350225717782126.92%942771.28%01039196552.88%1031204350.47%521101251.48%13769791359397710355
_Vs Division20125002109773241173000105837219520020039363280.70097172269011178957377468273976726744217146417471327.66%602165.00%01039196552.88%1031204350.47%521101251.48%13769791359397710355

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5779W326647974522071995580390118612
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5733142611266188
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30187121114694
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
27157140012094
Derniers 10 matchs
WLOTWOTL SOWSOL
620101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1554126.45%1644671.95%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
6827397672611789573
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
1039196552.88%1031204350.47%521101251.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13769791359397710355


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 - 2022-05-311Stars8IceHogs7AWSommaire du match
4 - 2022-06-0324Stars3Moose6ALSommaire du match
5 - 2022-06-0431Senators2Stars3BWSommaire du match
8 - 2022-06-0755Thunderbirds6Stars3BLSommaire du match
11 - 2022-06-1071Admirals3Stars4BWXXSommaire du match
15 - 2022-06-1493Stars4Thunderbirds0AWSommaire du match
17 - 2022-06-16111Thunderbirds2Stars6BWSommaire du match
19 - 2022-06-18128Stars4Admirals1AWSommaire du match
21 - 2022-06-20140Bears5Stars3BLSommaire du match
23 - 2022-06-22157Stars6Bears4AWSommaire du match
25 - 2022-06-24172Roadrunners3Stars6BWSommaire du match
28 - 2022-06-27194Wild4Stars2BLSommaire du match
30 - 2022-06-29203Stars1Bruins4ALSommaire du match
34 - 2022-07-03228Stars2Roadrunners7ALSommaire du match
35 - 2022-07-04238Moose1Stars4BWSommaire du match
36 - 2022-07-05247Stars4Eagles5ALXSommaire du match
39 - 2022-07-08268Wild6Stars5BLSommaire du match
42 - 2022-07-11287Stars10Heat2AWSommaire du match
44 - 2022-07-13303Marlies2Stars4BWSommaire du match
46 - 2022-07-15323Stars3Silver Knights4ALXSommaire du match
47 - 2022-07-16332Reign3Stars2BLXSommaire du match
50 - 2022-07-19353Stars4Marlies2AWSommaire du match
52 - 2022-07-21362Griffins5Stars4BLSommaire du match
54 - 2022-07-23384Stars3Bruins5ALSommaire du match
56 - 2022-07-25396Chekers7Stars8BWXSommaire du match
58 - 2022-07-27414Stars5Moose6ALXSommaire du match
60 - 2022-07-29426Wolf Pack3Stars6BWSommaire du match
62 - 2022-07-31440Stars7Chekers3AWSommaire du match
64 - 2022-08-02460Canucks1Stars5BWSommaire du match
66 - 2022-08-04472Stars3Wolves4ALSommaire du match
69 - 2022-08-07491Phantoms3Stars2BLXSommaire du match
71 - 2022-08-09504Stars6Phantoms2AWSommaire du match
74 - 2022-08-12524Silver Knights2Stars6BWSommaire du match
78 - 2022-08-16551Admirals3Stars4BWSommaire du match
81 - 2022-08-19573Stars4Penguins1AWSommaire du match
83 - 2022-08-21585Checkers3Stars2BLSommaire du match
86 - 2022-08-24610Stars6Islanders3AWSommaire du match
87 - 2022-08-25617Comets2Stars6BWSommaire du match
90 - 2022-08-28634Stars4Wild2AWSommaire du match
92 - 2022-08-30648Bears3Stars4BWSommaire du match
94 - 2022-09-01665Stars4Reign5ALSommaire du match
96 - 2022-09-03675Stars6Barrucada4AWSommaire du match
98 - 2022-09-05685Monsters3Stars8BWSommaire du match
100 - 2022-09-07706Stars5Senators2AWSommaire du match
101 - 2022-09-08718Crunch2Stars6BWSommaire du match
104 - 2022-09-11739Stars5Roadrunners2AWSommaire du match
106 - 2022-09-13748Heat3Stars7BWSommaire du match
109 - 2022-09-16772Stars4Condors3AWXSommaire du match
110 - 2022-09-17781Penguins3Stars2BLXXSommaire du match
114 - 2022-09-21808Wolves5Stars3BLSommaire du match
117 - 2022-09-24835Gulls0Stars7BWSommaire du match
119 - 2022-09-26848Stars4Griffins5ALXSommaire du match
120 - 2022-09-27865IceHogs4Stars7BWSommaire du match
123 - 2022-09-30883Stars1Rocket3ALSommaire du match
125 - 2022-10-02898Thunderbirds2Stars5BWSommaire du match
129 - 2022-10-06919Stars4Gulls2AWSommaire du match
130 - 2022-10-07932Roadrunners3Stars12BWSommaire du match
133 - 2022-10-10948Stars-Monsters-
135 - 2022-10-12967IceHogs-Stars-
137 - 2022-10-14981Stars-Bears-
139 - 2022-10-16996Barrucada-Stars-
141 - 2022-10-181010Stars-Admirals-
143 - 2022-10-201018Stars-Wolf Pack-
144 - 2022-10-211034American-Stars-
146 - 2022-10-231046Stars-Wild-
148 - 2022-10-251064Eagles-Stars-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-10-271077Stars-American-
151 - 2022-10-281086Stars-Checkers-
154 - 2022-10-311102Bruins-Stars-
156 - 2022-11-021118Stars-Thunderbirds-
158 - 2022-11-041132Moose-Stars-
160 - 2022-11-061150Stars-Eagles-
162 - 2022-11-081161Stars-Comets-
163 - 2022-11-091172Eagles-Stars-
167 - 2022-11-131196Rocket-Stars-
169 - 2022-11-151210Stars-Crunch-
172 - 2022-11-181228Senators-Stars-
175 - 2022-11-211255Condors-Stars-
176 - 2022-11-221259Stars-IceHogs-
179 - 2022-11-251277Stars-Canucks-
180 - 2022-11-261285Stars-IceHogs-
183 - 2022-11-291298Islanders-Stars-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,867,943$ 1,763,865$ 1,763,865$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,483$ 1,238,890$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 14,322$ 802,032$




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

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 (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