Connexion

Stars
GP: 82 | W: 46 | L: 27 | OTL: 9 | P: 101
GF: 254 | GA: 252 | PP%: 13.22% | PK%: 81.55%
DG: Guillaume Blanchet | Morale : 70 | Moyenne d’équipe : 69
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Centre de jeu
Stars
46-27-9, 101pts
2
FINAL
3 Ducks
39-29-14, 92pts
Team Stats
L2StreakL1
30-7-4Home Record21-15-5
16-20-5Away Record18-14-9
3-6-1Last 10 Games4-4-2
3.10Buts par match 3.06
3.07Buts contre par match 3.11
13.22%Pourcentage en avantage numérique16.60%
81.55%Pourcentage en désavantage numérique82.67%
Stars
46-27-9, 101pts
4
FINAL
8 Predators
41-32-9, 91pts
Team Stats
L2StreakL1
30-7-4Home Record21-14-6
16-20-5Away Record20-18-3
3-6-1Last 10 Games4-6-0
3.10Buts par match 3.30
3.07Buts contre par match 3.18
13.22%Pourcentage en avantage numérique12.85%
81.55%Pourcentage en désavantage numérique83.27%
Meneurs d'équipe
Buts
Brendan Perlini
36
Passes
Vincent Hinostroza
44
Points
Brendan Perlini
78
Plus/Moins
Cole Caufield
17
Victoires
Laurent Brossoit
34
Pourcentage d’arrêts
Laurent Brossoit
0.911

Statistiques d’équipe
Buts pour
254
3.10 GFG
Tirs pour
2556
31.17 Avg
Pourcentage en avantage numérique
13.2%
32 GF
Début de zone offensive
37.0%
Buts contre
252
3.07 GAA
Tirs contre
2661
32.45 Avg
Pourcentage en désavantage numérique
81.5%
50 GA
Début de la zone défensive
39.5%
Informations de l'équipe

Directeur généralGuillaume Blanchet
EntraîneurJohn Tortorella
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,917
Billets de saison2,850


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 60
Espoirs27


Historique d'équipe

Saison actuelle46-27-9 (101PTS)
Historique170-113-45 (0.518%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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
1Brendan Perlini (R)X100.0073458070797390946590917655805980707702621,250,000$
2Vincent Hinostroza (R)X98.006333957367748582688681777674694770740282800,000$
3Chris Wagner (R)X100.0089467965747586708173688161817346757003031,000,000$
4Jordan Weal (R)X100.006039856869728077837874776980735371700301600,000$
5Tyson Jost (R)X100.006034937072778575737568736966708572690243900,000$
6Maxime Comtois (R)X100.008450767284828572637069646864687163680231820,000$
7Stanislav Galiev (R)X100.007056536874646869569468596180765075680301800,000$
8Cody Glass (R)X100.005635947386798270806865637365688771670232863,333$
9Joel Kiviranta (R)X100.008135927468857367596671646870665272670262925,000$
10Cole Caufield (R)X100.005335947864807176556773627862668572670213880,833$
11Laurent Dauphin (R)X100.004328667071558179736562805165597072650271575,000$
12Garrett Wilson (R)X100.007547656676578167576561715969564742640313575,000$
13Brady Skjei (R)X100.0080487973858789823083768756747075697702811,500,000$
14Jakob Chychrun (R)X100.0081447877798781863085807856666983737502421,000,000$
15Sean Walker (R)X100.007338887072888968307465695574693568690271745,000$
16Henri Jokiharju (R)X100.007135867074828470307356705463657867680221925,000$
17Taylor Fedun (R)X100.005939876176717164307058805583754571670333700,000$
18Mark Friedman (R)X100.005845876071817965306560685072675771640261825,000$
Rayé
1Rostislav OleszX100.009971505780527259315562737593992020630361575,000$
2Justin Dowling (R)X100.005539906370727366726757675983725219630313575,000$
3Vitali Kravtsov (R)X100.005435946881747367596366617263658641630223925,000$
4Sheldon Dries (R)X100.008242846669807462726063576173673820620281735,000$
5Adam Johnson (R)X100.005741836070727266676762655974695120620272725,000$
6Libor Hajek (R)X99.815839936376807962305955735265667610640241925,000$
7Jack Rathbone (R)X100.006235936871877666306962615563626420640223925,000$
8Gavin Bayreuther (R)X100.006650756476797363306359615173673720630271925,000$
MOYENNE D’ÉQUIPE99.88684282687476797153716770617269605467
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
1Laurent Brossoit (R)100.009082938288999898988980768057698802912,000,000$
2Jean-François Berube (R)100.00806690748187828181705277684871760303600,000$
Rayé
1Filip Gustavsson (R)100.00748581777377797877747365697120750233787,500$
MOYENNE D’ÉQUIPE100.0081788878818886868578687372595380
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
John Tortorella70697067999971USA632800,000$


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
1Brendan PerliniStars (DAL)RW79364278-96801861543059316311.80%55163520.711010205720700021975448.76%4456021010.9517000853
2Vincent HinostrozaStars (DAL)C71304474-2115881722195112913.70%39148420.91614202418200032056046.94%16364325301.0026100754
3Stanislav GalievStars (DAL)RW822336595168201941032246715310.27%24141617.2822410170000015246.75%774726000.8301220662
4Chris WagnerStars (DAL)C8216324814515172212145459711.03%45156419.07134717710141294152.10%16222334000.6113102543
5Tyson JostStars (DAL)LW82281846122951061252508414411.20%24152618.61123161760008980639.00%1002523000.6013001218
6Jakob ChychrunStars (DAL)D829344301103017015620366754.43%111190723.26257272310003221200.00%06550000.4500222011
7Brady SkjeiStars (DAL)D7763541448015215713658484.41%100182123.66459192170001213120.00%03146000.4500000111
8Cole CaufieldStars (DAL)RW8221194017954871236581258.90%30104512.750001100003273436.51%634111010.7701010323
9Jordan WealStars (DAL)LW74172138-1129512188117316014.53%36143919.45459181970114994149.62%1331319000.5315001321
10Maxime ComtoisStars (DAL)LW7220143412461017080118446616.95%1895913.320001230000155040.00%502916000.7100002362
11Sean WalkerStars (DAL)D821333482351151336228301.61%94177321.6313441630110166000.00%02233000.3800010054
12Laurent DauphinStars (DAL)C82121729172203474103417011.65%236447.87000010000102049.22%256158000.9000000420
13Henri JokiharjuStars (DAL)D7652025112001231375529279.09%83160921.1811241460000145000.00%01247000.3100000200
14Cody GlassStars (DAL)C8281725840601269843788.16%25107913.16000131000031246.77%7422317000.4600000012
15Joel KivirantaStars (DAL)LW82101222820966712529728.00%157739.43000030001682043.28%672021000.5700000011
16Mark FriedmanStars (DAL)D8211314712075923713242.70%71132516.1700008000079000.00%1532000.2100000001
17Taylor FedunStars (DAL)D8221214132515691005915223.39%87130615.93000325000026000.00%0643000.2100003101
18Vitali KravtsovStars (DAL)RW47369-100142422102213.64%63437.300000300000100.00%301000.5200000001
19Garrett WilsonStars (DAL)RW3822476040181981210.53%62897.6201115000002050.00%653000.2800000002
20Adam JohnsonStars (DAL)LW182240406573228.57%11307.230000000000100.00%000000.6100000010
21Libor HajekStars (DAL)D10011-2203910110.00%815315.310000100009000.00%014000.1301000000
22Justin DowlingStars (DAL)C11011100366160.00%1847.7000000000130041.38%2900000.2400000000
23Jack RathboneStars (DAL)D1000000000010.00%01414.870000000002000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne147625243168310668311520452109255681814279.86%9022432816.483251831931984123301725442248.39%5230486480320.566276611454340
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
1Laurent BrossoitStars (DAL)64342180.9112.773745401731948795510.692266418463
2Jean-François BerubeStars (DAL)2312610.8973.5512340073712319000.00001864111
Statistiques d’équipe totales ou en moyenne87462790.9082.9649794024626601114510.692268282574


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 JohnsonStars (DAL)LW271994-06-22 03:40:15Yes174 Lbs6 ft0NoNoNo2Pro & Farm725,000$3,796$0$0$No725,000$
Brady SkjeiStars (DAL)D281994-03-26 16:15:30Yes214 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$7,853$0$0$No
Brendan PerliniStars (DAL)RW261996-04-27 13:26:48Yes211 Lbs6 ft3NoNoNo2Pro & Farm1,250,000$6,545$0$0$No1,250,000$
Chris WagnerStars (DAL)C301991-05-27 23:11:13Yes198 Lbs6 ft0NoNoNo3Pro & Farm1,000,000$5,236$0$0$No1,000,000$1,000,000$
Cody GlassStars (DAL)C231999-04-01 07:03:41Yes185 Lbs6 ft2NoNoNo2Pro & Farm863,333$4,520$0$0$No863,333$
Cole CaufieldStars (DAL)RW212001-01-02 14:09:19Yes165 Lbs5 ft7NoNoNo3Pro & Farm880,833$4,612$0$0$No880,833$880,833$
Filip GustavssonStars (DAL)G231998-06-07 14:06:37Yes183 Lbs6 ft2NoNoNo3Pro & Farm787,500$4,123$0$0$No787,500$787,500$
Garrett WilsonStars (DAL)RW311991-03-16 23:11:13Yes199 Lbs6 ft2NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Gavin BayreutherStars (DAL)D271994-05-12 08:43:20Yes194 Lbs6 ft1NoNoNo1Pro & Farm925,000$4,843$0$0$No
Henri JokiharjuStars (DAL)D221999-06-17 12:02:07Yes193 Lbs6 ft0NoNoNo1Pro & Farm925,000$4,843$0$0$No
Jack RathboneStars (DAL)D221999-05-20 14:03:09Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Jakob ChychrunStars (DAL)D241998-03-31 13:31:18Yes210 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$5,236$0$0$No1,000,000$
Jean-François BerubeStars (DAL)G301991-07-13 12:32:53Yes179 Lbs6 ft1NoNoNo3Pro & Farm600,000$3,141$0$0$No600,000$600,000$
Joel KivirantaStars (DAL)LW261996-03-23 11:10:54Yes181 Lbs5 ft10NoNoNo2Pro & Farm925,000$4,843$0$0$No925,000$
Jordan WealStars (DAL)LW301992-04-15 16:19:58Yes179 Lbs5 ft10NoNoNo1Pro & Farm600,000$3,141$0$0$No
Justin DowlingStars (DAL)C311990-10-01 04:01:49Yes180 Lbs5 ft10NoNoNo3Pro & Farm575,000$3,010$0$0$No575,000$575,000$
Laurent BrossoitStars (DAL)G291993-03-23 13:26:44Yes204 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$10,471$0$0$No
Laurent DauphinStars (DAL)C271995-03-27 16:22:44Yes180 Lbs6 ft1NoNoNo1Pro & Farm575,000$3,010$0$0$No
Libor HajekStars (DAL)D241998-02-04 11:55:38Yes205 Lbs6 ft2NoNoNo1Pro & Farm925,000$4,843$0$0$No
Mark FriedmanStars (DAL)D261995-12-25 11:57:43Yes185 Lbs5 ft11NoNoNo1Pro & Farm825,000$4,319$0$0$No
Maxime ComtoisStars (DAL)LW231999-01-08 11:59:44Yes216 Lbs6 ft2NoNoNo1Pro & Farm820,000$4,293$0$0$No
Rostislav OleszStars (DAL)LW361985-10-10 11:11:13No229 Lbs6 ft1NoNoNo1Pro & Farm575,000$3,010$0$0$No
Sean WalkerStars (DAL)D271994-11-13 04:55:59Yes196 Lbs5 ft11NoNoNo1Pro & Farm745,000$3,901$0$0$No
Sheldon DriesStars (DAL)C281994-04-23 03:51:12Yes185 Lbs5 ft9NoNoNo1Pro & Farm735,000$3,848$0$0$No
Stanislav GalievStars (DAL)RW301992-01-17 05:11:13Yes193 Lbs6 ft2NoNoNo1Pro & Farm800,000$4,188$0$0$No
Taylor FedunStars (DAL)D331988-06-04 05:11:13Yes201 Lbs6 ft1NoNoNo3Pro & Farm700,000$3,665$0$0$No700,000$700,000$
Tyson JostStars (DAL)LW241998-03-14 11:00:15Yes191 Lbs5 ft11NoNoNo3Pro & Farm900,000$4,712$0$0$No900,000$900,000$
Vincent HinostrozaStars (DAL)C281994-04-03 09:14:16Yes173 Lbs5 ft9NoNoNo2Pro & Farm800,000$4,188$0$0$No800,000$
Vitali KravtsovStars (DAL)RW221999-12-23 14:01:13Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$4,843$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.83192 Lbs6 ft01.90875,230$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan WealVincent HinostrozaBrendan Perlini35122
2Tyson JostChris WagnerStanislav Galiev35122
3Maxime ComtoisCody GlassCole Caufield25122
4Joel KivirantaLaurent DauphinGarrett Wilson5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady SkjeiJakob Chychrun35122
2Sean WalkerHenri Jokiharju35122
3Taylor FedunMark Friedman30122
4Brady SkjeiJakob Chychrun0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan WealVincent HinostrozaBrendan Perlini60122
2Tyson JostChris WagnerStanislav Galiev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady SkjeiJakob Chychrun60122
2Sean WalkerHenri Jokiharju40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brendan PerliniVincent Hinostroza60122
2Chris WagnerJordan Weal40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady SkjeiJakob Chychrun60122
2Sean WalkerHenri Jokiharju40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brendan Perlini60122Brady SkjeiJakob Chychrun60122
2Vincent Hinostroza40122Sean WalkerHenri Jokiharju40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brendan PerliniVincent Hinostroza60122
2Chris WagnerJordan Weal40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady SkjeiJakob Chychrun60122
2Sean WalkerHenri Jokiharju40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan WealVincent HinostrozaBrendan PerliniBrady SkjeiJakob Chychrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan WealVincent HinostrozaBrendan PerliniBrady SkjeiJakob Chychrun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Comtois, Cole Caufield, Joel KivirantaMaxime Comtois, Cole CaufieldJoel Kiviranta
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Fedun, Mark Friedman, Sean WalkerTaylor FedunMark Friedman, Sean Walker
Tirs de pénalité
Brendan Perlini, Vincent Hinostroza, Chris Wagner, Jordan Weal, Tyson Jost
Gardien
#1 : Laurent Brossoit, #2 : Jean-François Berube
Lignes d’attaque personnalisées en prolongation
Brendan Perlini, Vincent Hinostroza, Chris Wagner, Jordan Weal, Tyson Jost, Stanislav Galiev, Stanislav Galiev, Maxime Comtois, Cole Caufield, Joel Kiviranta, Cody Glass
Lignes de défense personnalisées en prolongation
Brady Skjei, Jakob Chychrun, Sean Walker, Henri Jokiharju, Taylor Fedun


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
1Avalanche6300100228217320000011913631001001981100.833284876006884911518282884584762191577616924520.83%23578.26%0950191649.58%1010204249.46%571121547.00%173499818287501419703
2Blackhawks613001011424-103010010159-431200000915-640.33314264000688491151768288458476219360881722100.00%34876.47%0950191649.58%1010204249.46%571121547.00%173499818287501419703
3Blues63201000181533110100010823210000087180.66718335100688491151998288458476219058771493326.06%31874.19%0950191649.58%1010204249.46%571121547.00%173499818287501419703
4Bruins411020001192210010007522010100044060.7501117280068849115130828845847621314361138112.50%3166.67%0950191649.58%1010204249.46%571121547.00%173499818287501419703
5Canadiens22000000642110000002111100000043141.000610160068849115598288458476253191045600.00%5180.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
6Canucks42001001191542100100010732100000198170.8751933520068849115112828845847621394936897342.86%18572.22%0950191649.58%1010204249.46%571121547.00%173499818287501419703
7Capitals21000100761110000003121000010045-130.7507111800688491156582884584762662610397228.57%50100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
8Devils3210000089-1220000007521010000014-340.6678152300688491159982884584762120408603133.33%40100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
9Ducks4120100011110210010007522020000046-240.50011182900688491151288288458476213348281051317.69%140100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
10Flames430001001587220000009272100010066070.8751523380068849115110828845847621373727861100.00%100100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
11Flyers22000000633110000003211100000031241.00061117006884911566828845847626625845200.00%40100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
12Islanders2010100067-1100010005411010000013-220.5006111700688491157282884584762752610493133.33%5260.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
13Kings4120001011101210000107432020000046-240.5001118290068849115102828845847621194624999111.11%12283.33%0950191649.58%1010204249.46%571121547.00%173499818287501419703
14Maple Leafs2020000029-71010000013-21010000016-500.0002350068849115658288458476275242540200.00%5260.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
15Oilers42101000121202110000037-42100100095460.750122234006884911511382884584762114413510711218.18%15286.67%1950191649.58%1010204249.46%571121547.00%173499818287501419703
16Penguins22000000945110000005321100000041341.00091524006884911578828845847626216252200.00%110.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
17Predators632000012223-1320000011174312000001116-570.5832235570068849115185828845847622056511015036822.22%30486.67%0950191649.58%1010204249.46%571121547.00%173499818287501419703
18Rangers210000101394110000008531000001054141.0001319320068849115748288458476253114396233.33%20100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
19Red Wings2020000019-81010000014-31010000005-500.000123006884911553828845847626826245300.00%10100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
20Sabres30200100611-51010000012-12010010059-410.16761218006884911510482884584762103376645120.00%30100.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
21Senateurs2020000048-41010000035-21010000013-200.00047111068849115658288458476268228534125.00%4175.00%0950191649.58%1010204249.46%571121547.00%173499818287501419703
22Sharks422000001114-32200000074320200000410-640.500111829006884911512482884584762128554111410110.00%19573.68%0950191649.58%1010204249.46%571121547.00%173499818287501419703
23Wild6320100014113320010008443120000067-180.66714243800688491151958288458476217271461611600.00%23386.96%0950191649.58%1010204249.46%571121547.00%173499818287501419703
Total82352709425254252241237061131421103241122003312112142-301010.6162544316851068849115255682884584762266190268720452423213.22%2715081.55%1950191649.58%1010204249.46%571121547.00%173499818287501419703
_Since Last GM Reset82352709425254252241237061131421103241122003312112142-301010.6162544316851068849115255682884584762266190268720452423213.22%2715081.55%1950191649.58%1010204249.46%571121547.00%173499818287501419703
_Vs Conference5424160621517516411271530411396702627913021027994-15690.6391752984730068849115162682884584762172158758814011912312.04%2294281.66%1950191649.58%1010204249.46%571121547.00%173499818287501419703
_Vs Division3013903104969421572021035341121567010014353-10370.617961662620068849115937828845847629513113978011301511.54%1412880.14%0950191649.58%1010204249.46%571121547.00%173499818287501419703

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82101L225443168525562661902687204510
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235279425254252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
412376113142110
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4112203312112142
Derniers 10 matchs
WLOTWOTL SOWSOL
360100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2423213.22%2715081.55%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
8288458476268849115
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
950191649.58%1010204249.46%571121547.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173499818287501419703


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 - 2021-10-165Stars3Wild1AWR5Sommaire du match
4 - 2021-10-1817Wild1Stars3BWSommaire du match
7 - 2021-10-2128Stars2Avalanche3ALXXR5Sommaire du match
9 - 2021-10-2340Blackhawks3Stars2BLXXSommaire du match
12 - 2021-10-2657Stars1Blues2ALR5Sommaire du match
14 - 2021-10-2867Blues1Stars3BWSommaire du match
17 - 2021-10-3181Canucks3Stars5BWR2Sommaire du match
20 - 2021-11-0397Predators2Stars4BWSommaire du match
24 - 2021-11-07118Stars4Predators2AWR5Sommaire du match
25 - 2021-11-08122Stars3Blackhawks7ALR5Sommaire du match
28 - 2021-11-11134Avalanche6Stars5BLXXR5Sommaire du match
31 - 2021-11-14149Predators2Stars5BWSommaire du match
34 - 2021-11-17167Stars5Canucks6ALXXR2Sommaire du match
35 - 2021-11-18173Avalanche4Stars9BWR5Sommaire du match
40 - 2021-11-23193Oilers6Stars1BLSommaire du match
42 - 2021-11-25203Stars2Sabres5ALSommaire du match
44 - 2021-11-27215Stars3Kings4ALR2Sommaire du match
45 - 2021-11-28221Rangers5Stars8BWSommaire du match
48 - 2021-12-01231Stars3Oilers2AWXR2Sommaire du match
50 - 2021-12-03245Predators3Stars2BLXXR5Sommaire du match
52 - 2021-12-05258Stars3Predators6ALSommaire du match
54 - 2021-12-07267Capitals1Stars3BWSommaire du match
56 - 2021-12-09278Stars3Avalanche2AWXR5Sommaire du match
57 - 2021-12-10289Stars1Maple Leafs6ALSommaire du match
59 - 2021-12-12299Ducks2Stars3BWXR2Sommaire du match
62 - 2021-12-15314Bruins3Stars4BWXSommaire du match
64 - 2021-12-17323Stars0Red Wings5ALSommaire du match
66 - 2021-12-19334Stars3Flyers1AWSommaire du match
70 - 2021-12-23348Oilers1Stars2BWR2Sommaire du match
72 - 2021-12-25363Islanders4Stars5BWXSommaire du match
75 - 2021-12-28379Stars3Bruins2AWXSommaire du match
77 - 2021-12-30390Bruins2Stars3BWSommaire du match
79 - 2022-01-01401Stars4Capitals5ALXSommaire du match
82 - 2022-01-04414Sabres2Stars1BLSommaire du match
84 - 2022-01-06421Stars3Sabres4ALXSommaire du match
87 - 2022-01-09438Senateurs5Stars3BLSommaire du match
89 - 2022-01-11452Stars4Canucks2AWR2Sommaire du match
91 - 2022-01-13460Stars4Penguins1AWSommaire du match
92 - 2022-01-14468Flyers2Stars3BWSommaire du match
95 - 2022-01-17483Stars2Blackhawks7ALR5Sommaire du match
97 - 2022-01-19494Canucks4Stars5BWXR2Sommaire du match
99 - 2022-01-21507Penguins3Stars5BWSommaire du match
101 - 2022-01-23520Stars1Wild3ALR5Sommaire du match
104 - 2022-01-26534Wild1Stars2BWXSommaire du match
107 - 2022-01-29553Stars4Blackhawks1AWR5Sommaire du match
108 - 2022-01-30558Wild2Stars3BWR5Sommaire du match
112 - 2022-02-03578Red Wings4Stars1BLSommaire du match
114 - 2022-02-05591Stars4Flames3AWR2Sommaire du match
116 - 2022-02-07601Stars1Bruins2ALSommaire du match
117 - 2022-02-08607Avalanche3Stars5BWR5Sommaire du match
121 - 2022-02-12627Flames1Stars5BWR2Sommaire du match
123 - 2022-02-14638Stars2Flames3ALXSommaire du match
125 - 2022-02-16651Flames1Stars4BWR2Sommaire du match
127 - 2022-02-18666Stars1Kings2ALR2Sommaire du match
129 - 2022-02-20676Devils2Stars3BWSommaire du match
131 - 2022-02-22685Stars1Devils4ALSommaire du match
133 - 2022-02-24698Maple Leafs3Stars1BLSommaire du match
134 - 2022-02-25705Stars4Canadiens3AWSommaire du match
137 - 2022-02-28722Stars4Blues3AWR5Sommaire du match
138 - 2022-03-01727Ducks3Stars4BWR2Sommaire du match
141 - 2022-03-04745Canadiens1Stars2BWSommaire du match
143 - 2022-03-06754Stars6Oilers3AWR2Sommaire du match
145 - 2022-03-08770Sharks2Stars4BWR2Sommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-12785Stars3Blues2AWSommaire du match
150 - 2022-03-13792Devils3Stars4BWSommaire du match
153 - 2022-03-16806Stars1Senateurs3ALSommaire du match
155 - 2022-03-18819Sharks2Stars3BWR2Sommaire du match
156 - 2022-03-19825Stars2Wild3ALSommaire du match
158 - 2022-03-21836Stars5Rangers4AWXXSommaire du match
161 - 2022-03-24846Kings2Stars3BWXXR2Sommaire du match
164 - 2022-03-27865Blackhawks4Stars2BLSommaire du match
165 - 2022-03-28872Stars2Sharks4ALR2Sommaire du match
167 - 2022-03-30876Stars2Ducks3ALSommaire du match
169 - 2022-04-01893Kings2Stars4BWR2Sommaire du match
171 - 2022-04-03901Stars4Avalanche3AWSommaire du match
174 - 2022-04-06914Blues3Stars4BWXR5Sommaire du match
175 - 2022-04-07922Stars2Sharks6ALR2Sommaire du match
177 - 2022-04-09933Stars1Islanders3ALSommaire du match
180 - 2022-04-12945Blues4Stars3BLR5Sommaire du match
185 - 2022-04-17962Blackhawks2Stars1BLXSommaire du match
187 - 2022-04-19967Stars2Ducks3ALR2Sommaire du match
188 - 2022-04-20970Stars4Predators8ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance79,79839,789
Assistance PCT97.31%97.05%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2917 - 97.23% 124,715$5,113,327$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,285,306$ 2,538,166$ 1,423,166$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,289$ 2,489,577$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 17,477$ 17,477$




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
1Brendan Perlini240120133253-1216751945096012.50%145484920.2126275313813413161248.41%41.04422
2Vincent Hinostroza224101135236122633450566615.17%117445519.89254469963031313347.04%01.06520
3Stanislav Galiev2466392155-124375422966499.71%70403316.4045920000014445.76%00.7702
4Chris Wagner246451001451122151659641510.84%127446318.145121728213119352.83%00.65310
5Tyson Jost2467564139286532033069210.84%74439317.864913460001821440.38%10.6326

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
1Laurent Brossoit1929364250.9062.971102980545576824101420.67173
2Jean-François Berube75342370.8913.653900802372171989110.45511

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
128235260048933030129411813002351711571441171300254159144157033053886810821151251430599221049105882296398287421933096220.06%3156679.05%51176217154.17%1148212853.95%721134653.57%173996417997841472733
1582333301717270298-2841171601403137128941161700314133170-3784270458728109183949253482283885155262087786422342405121.25%2917075.95%5965192150.23%957193849.38%602122849.02%1802108618067231365675
1682352709425254252241237061131421103241122003312112142-301012544316851068849115255682884584762266190268720452423213.22%2715081.55%1950191649.58%1010204249.46%571121547.00%173499818287501419703
1682352709425254252241237061131421103241122003312112142-301012544316851068849115255682884584762266190268720452423213.22%2715081.55%1950191649.58%1010204249.46%571121547.00%173499818287501419703
Total Saison régulière328138113019191326110811035164814301385145925058716457700611812516598-8235611081858296640309366401531070534003577360326110905366331128517103317717.13%114823679.44%124041792451.00%4125815050.61%2465500449.26%701040477261300856772816

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