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Stars
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Tommy Savard | Morale : 17 | Moyenne d’équipe : 67
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralTommy Savard
EntraîneurMitch Love
DivisionDivision Sud-Ouest
ConférenceConference Ouest
CapitaineIlya Lyubushkin
Assistant #1Ryan Olsen
Assistant #2Joseph Cecconi


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 80
Espoirs15


Historique d'équipe

Saison actuelle0-0
Historique159-139-30 (0.485%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)3-8
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
1Johan LarssonXXX100.007453817080858272917471797373720467203121,500,000$
2Nicholas CaamanoX100.00764276758679628369737169726466036700251875,000$
3Gabriel BourqueXX100.00633973687477767270717277727274057700331750,000$
4Hudson Elynuik (R)XX100.00794759678871847569676769666567060690261850,000$
5Ryan Olsen (A)X100.00663985728588936373656568686870068680302875,000$
6Matteson IacopelliXX100.00725088797978766750666667595251074670291700,000$
7Kyle Olson (R)XX100.00563574708273896961696966656365068670251525,000$
8Brad Morrison (R)X100.00453788687575806965696869505050068660274650,000$
9Ryan RupertXX100.00594770768170855565726966507053069660291650,000$
10Matthew Strome (R)X100.00794087608873916863676760646365068650251525,000$
11Kyle PlatzerXX100.00454572757570726365536062505050068610292600,000$
12Christoph BertschyXXX100.00554580657560696965605065607451068610301725,000$
13Ilya Lyubushkin (C)X100.00843977608095906330715577627072068710301900,000$
14Joseph Cecconi (R) (A)X100.00733574678568827430696471566567068690264900,000$
15Nicolas Beaudin (R)X100.00593891796679866630726272656365068690243825,000$
16Macoy ErkampsX100.00653886688968737430696469557166068680292875,000$
17Patrick McNallyX100.00705078797378727435596268507554069680311600,000$
18Matthew Robertson (R)X100.00784182628770936130676267556163048670233725,000$
Rayé
1Dane FoxXXX100.00655586697373785554555062507363017600301650,000$
2Liam CoughlinXXX100.00454570658065806565605557506050049600291600,000$
3Victor Berglund (R)X100.00583879677071746830626766506365020640243600,000$
MOYENNE D’ÉQUIPE100.0065437970807580685466646859656205867
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
1Matthew Villalta (R)100.0069848266686769786769686367054690241725,000$
2Evan Cormier (R)100.0071697083706971706163626673028690261900,000$
Rayé
1David Tendeck (R)100.0067656672565557566567666369021620243525,000$
MOYENNE D’ÉQUIPE100.006973737465646668646665647003467
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mitch Love73727463585588CAN393500,000$


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
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


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Brad MorrisonStars (DAL)C271997-01-04 07:48:11Yes170 Lbs6 ft0NoNoN/ANoNo4Pro & Farm650,000$46,429$0$0$No650,000$650,000$650,000$------NoNoNo------Lien
Christoph BertschyStars (DAL)C/LW/RW301994-04-05 22:19:18No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm725,000$51,786$0$0$No------------------Lien / Lien NHL
Dane FoxStars (DAL)C/LW/RW301993-10-13 19:13:42No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm650,000$46,429$0$0$No------------------Lien
David TendeckStars (DAL)G241999-11-25 02:31:36Yes173 Lbs6 ft1NoNoN/ANoNo3Pro & Farm525,000$37,500$0$0$No525,000$525,000$-------NoNo-------Lien
Evan CormierStars (DAL)G261997-11-06 07:52:03Yes203 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$64,286$0$0$No------------------Lien / Lien NHL
Gabriel BourqueStars (DAL)LW/RW331990-09-23 03:23:14No201 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$53,571$0$0$No------------------Lien / Lien NHL
Hudson ElynuikStars (DAL)C/LW261997-10-12 07:53:46Yes195 Lbs6 ft5NoNoN/ANoNo1Pro & Farm850,000$60,714$0$0$No------------------Lien / Lien NHL
Ilya LyubushkinStars (DAL)D301994-04-06 13:06:01No201 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$64,286$0$0$No------------------Lien / Lien NHL
Johan LarssonStars (DAL)C/LW/RW311992-07-25 12:04:14No209 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,500,000$107,143$0$0$No1,500,000$--------No--------Lien / Lien NHL
Joseph CecconiStars (DAL)D261997-05-23 07:55:41Yes210 Lbs6 ft2NoNoN/ANoNo4Pro & Farm900,000$64,286$0$0$No900,000$900,000$900,000$------NoNoNo------Lien / Lien NHL
Kyle OlsonStars (DAL)C/RW251999-03-22 00:01:06Yes178 Lbs5 ft11NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien / Lien NHL
Kyle PlatzerStars (DAL)C/RW291995-03-04 04:56:13No183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm600,000$42,857$0$0$No600,000$--------No--------Lien
Liam CoughlinStars (DAL)C/LW/RW291994-09-19 09:55:26No201 Lbs6 ft3NoNoN/ANoNo1Pro & Farm600,000$42,857$0$0$No------------------Lien
Macoy ErkampsStars (DAL)D291995-02-02 00:23:17No196 Lbs6 ft0NoNoN/ANoNo2Pro & Farm875,000$62,500$0$0$No875,000$--------No--------Lien / Lien NHL
Matteson IacopelliStars (DAL)LW/RW291994-05-15 14:56:22No207 Lbs6 ft2NoNoN/ANoNo1Pro & Farm700,000$50,000$0$0$No------------------Lien
Matthew RobertsonStars (DAL)D232001-03-09 00:28:44Yes211 Lbs6 ft3NoNoN/ANoNo3Pro & Farm725,000$51,786$0$0$No725,000$725,000$-------NoNo-------Lien / Lien NHL
Matthew StromeStars (DAL)LW251999-01-06 23:56:41Yes206 Lbs6 ft4NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien
Matthew VillaltaStars (DAL)G241999-06-03 23:54:19Yes165 Lbs6 ft3NoNoN/ANoNo1Pro & Farm725,000$51,786$0$0$No------------------Lien / Lien NHL
Nicholas CaamanoStars (DAL)RW251998-09-07 13:12:18No200 Lbs6 ft3NoNoN/ANoNo1Pro & Farm875,000$62,500$0$0$No------------------Lien / Lien NHL
Nicolas BeaudinStars (DAL)D241999-10-07 01:41:20Yes168 Lbs5 ft11NoNoN/ANoNo3Pro & Farm825,000$58,929$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
Patrick McNallyStars (DAL)D311992-09-27 18:06:05No181 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$42,857$0$0$No------------------Lien
Ryan OlsenStars (DAL)C301994-03-25 00:22:33No194 Lbs6 ft2NoNoN/ANoNo2Pro & Farm875,000$62,500$0$0$No875,000$--------No--------Lien / Lien NHL
Ryan RupertStars (DAL)C/LW291994-06-02 04:03:32No186 Lbs5 ft8NoNoN/ANoNo1Pro & Farm650,000$46,429$0$0$No------------------Lien
Victor BerglundStars (DAL)D241999-08-02 00:11:18Yes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm600,000$42,857$0$0$No600,000$600,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.46192 Lbs6 ft11.75752,083$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel BourqueJohan LarssonNicholas Caamano40122
2Matteson IacopelliHudson ElynuikKyle Olson30122
3Ryan RupertRyan OlsenChristoph Bertschy20122
4Matthew StromeBrad MorrisonKyle Platzer10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinNicolas Beaudin40122
2Joseph CecconiPatrick McNally30122
3Macoy ErkampsMatthew Robertson20122
4Ilya LyubushkinNicolas Beaudin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gabriel BourqueJohan LarssonNicholas Caamano60122
2Matteson IacopelliHudson ElynuikKyle Olson40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinNicolas Beaudin60122
2Joseph CecconiPatrick McNally40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Johan LarssonNicholas Caamano60122
2Gabriel BourqueHudson Elynuik40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinNicolas Beaudin60122
2Joseph CecconiPatrick McNally40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Johan Larsson60122Ilya LyubushkinNicolas Beaudin60122
2Nicholas Caamano40122Joseph CecconiPatrick McNally40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Johan LarssonNicholas Caamano60122
2Gabriel BourqueHudson Elynuik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya LyubushkinNicolas Beaudin60122
2Joseph CecconiPatrick McNally40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel BourqueJohan LarssonNicholas CaamanoIlya LyubushkinNicolas Beaudin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gabriel BourqueJohan LarssonNicholas CaamanoIlya LyubushkinNicolas Beaudin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Olsen, Brad Morrison, Ryan RupertRyan Olsen, Brad MorrisonRyan Rupert
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Macoy Erkamps, Matthew Robertson, Joseph CecconiMacoy ErkampsMatthew Robertson, Joseph Cecconi
Tirs de pénalité
Johan Larsson, Nicholas Caamano, Gabriel Bourque, Hudson Elynuik, Ryan Olsen
Gardien
#1 : Evan Cormier, #2 : Matthew Villalta


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,805,000$ 1,780,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




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
1Ryan Olsen3248093173-4912140563570311.38%66525716.2318153376000107448.88%00.66611
2Jordan Weal1936510316811013548559510.92%35391920.3173138113202511255.70%30.86714
3Tyler Gaudet2467093163-814948543864610.84%47453118.42113142123000414255.33%10.7216
4Zach Nastasiuk2246199160117030632653011.51%62454020.271228409411267540.89%00.7026
5Austin Wagner1506378141-117445726355311.39%40357423.831412268700097545.12%10.7947

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
1Matthew Villalta1766581160.8863.74959714359852500520.47151
2Marek Langhamer68411870.9013.1439626220720820130.77135
3Scott Darling 45261250.8963.2924604213512940000.7504
4Evan Cormier61212120.8943.6029522217716690230.6676
5David Tendeck50100.9063.461562099601000

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
20823826025922912622941207024621401122841181900130151150110529152181254117768720257786080188871264377762417612996923.08%2364481.36%11500277354.09%1510282653.43%757134956.12%1975136319366071071538
21823831025242932849412114003211611471441171702203132137-59329352381614110958411252385183780847259471352818462836422.61%2425477.69%21480276253.58%1420275351.58%737141752.01%1977136319076021076540
2282244505233270313-4341102403211124159-3541142102022146154-8692704877571089848913249982980983348272282153918252875719.86%2245675.00%21266265047.77%1359281748.24%625137745.39%1898129919936171072533
2382263708524289332-434117140431216315584192304212126177-518128951580411120966315256785584583947284975861019582515220.72%2777373.65%51289274346.99%1357294546.08%632139345.37%1930132019686061073532
Total Saison régulière32812613901717161311431191-481646859091210658857315164588008567555618-6334811432046318989436351323591016633953292336821310808306923017390112024221.61%97922776.81%1055351092850.65%56461134149.78%2751553649.69%778153487806243342942144
Séries éliminatoires
20624000001323-1031200000811-331200000512-741322350043601745156661197635812326415.38%28582.14%011020852.88%9921246.70%478356.63%14398143437537
21514000001228-1620200000512-731200000716-921223350041701474940580158626811319421.05%21861.90%08818048.89%8016349.08%458155.56%11376124386129
Total Séries éliminatoires1138000002551-26514000001323-10624000001228-166254570008413032110096124135512512623645817.78%491373.47%019838851.03%17937547.73%9216456.10%2571752688113767

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
1Jordan Weal11358-269242512.00%121019.18011400011148.75%00.7600
2Tyler Gaudet11347-828162412.50%116114.72022200000054.05%00.8600
3Austin Wagner11516-61631224411.36%728926.28101700020049.02%00.4200
4Nathan Beaulieu5145-161313128.33%1112625.3011270000000%00.7900
5Zach Nastasiuk11325-3818102213.64%018717.06101400000053.85%00.5300

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
1Marek Langhamer62310.8793.97287001915700000
2Scott Darling 51400.8135.58226002111200000
3Evan Cormier20000.9003.24740044000000
4Matthew Villalta20000.8485.75730074600000