Connexion

Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Quentin Robb | Morale : 1 | Moyenne d’équipe : 57
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralQuentin Robb
EntraîneurBob Essensa
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro27
Équipe Mineure22
Limite contact 49 / 100
Espoirs135


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
1Adam KlapkaXX100.0087966070997781648061636760474763786502431,238,000$
2Joseph BlandisiXX100.0065675860677881678064705662474761586203022,190,000$
3Zack MacEwenXX100.008499487081456662605458602566675878600281979,000$
4Mike SgarbossaX100.0073688567686161638068566153474659396003231,500,000$
5Ross JohnstonX100.0085995368925161654456596025636358336003122,160,000$
6Cole SchneiderXX100.0076739063737478567348596358464661255903431,300,000$
7Taylor WardX100.007676776076808653505448584847475536580272972,000$
8Chase WoutersXX100.0071708062727783526848525950474755475702531,064,000$
9Tanner FritzXX100.0074699165695961576762505844474752615703321,070,000$
10Brett SutterXX100.0075738164716974516442585754474755295603822,160,000$
11Nick JonesXX100.0070677365677075536651525548474753565602921,050,000$
12Wyatt BongiovanniX100.0072718262716467547046595858474758445602521,063,333$
13Gabriel BourqueXX100.0075729165726670485049455844474752445503422,157,000$
14Dillon Heatherington (R)X100.0082818365817178462536416239484850416003022,126,000$
15Chase PriskieX100.0074708265707479552551466043474754496002922,157,000$
16Gustav OlofssonX100.0079758872755457482539426037474749475703031,200,000$
17Kyle MarinoXX100.0075825465826673434530405637474747355603011,014,000$
18Nikolas BrouillardX100.0054585065587986512547404839474749375503021,041,000$
19Luka Profaca (R)X100.0073698566705457422530385737464648265402321,043,000$
Rayé
1Kevin ConleyXX100.0073707963706164506347486046444454205402821,026,000$
2Jacob DotyXX100.007782646682616547594148614644445420540321750,000$
3Dalton SmithX100.006976516576586247504444574244445120520321750,000$
4Josh HealeyX100.0067745065745053422529395537444447205203021,007,000$
5Travis HoweXXXX100.0066754465755255424529395537444447195203121,007,000$
MOYENNE D’ÉQUIPE100.00747671657565705253475058454848544057
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
1Thomas Milic (R)100.00604759656565566366663045456068590221750,000$
2Alex Stalock100.00474860734646495447483047464646510371991,000$
Rayé
1Collin Delia100.004649618043454851454730444447315003131,200,000$
MOYENNE D’ÉQUIPE100.0051486073515251565354304545514853
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Essensa40404040404040TUR803800,000$


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Adam KlapkaMoose (WPG)C/RW242000-09-14CZENo244 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm1,238,000$0$0$No1,238,000$1,238,000$-------1,238,000$1,238,000$-------NoNo-------Lien
Alex StalockMoose (WPG)G371987-07-28USANo200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm991,000$0$0$No---------------------------Lien
Brett SutterMoose (WPG)C/LW381987-06-02ABNo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,160,000$0$0$No2,160,000$--------2,160,000$--------No--------Lien / Lien NHL
Chase PriskieMoose (WPG)D291996-03-18USANo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,157,000$0$0$No2,157,000$--------2,157,000$--------No--------Lien
Chase WoutersMoose (WPG)C/LW252000-02-08SKWNo194 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm1,064,000$0$0$No1,064,000$1,064,000$-------1,064,000$1,064,000$-------NoNo-------Lien
Cole SchneiderMoose (WPG)C/LW341990-08-26USANo198 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien / Lien NHL
Collin DeliaMoose (WPG)G311994-06-19USANo208 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien / Lien NHL
Dalton SmithMoose (WPG)LW321992-06-30ONTNo206 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Dillon HeatheringtonMoose (WPG)D301995-05-09ABYes215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm2,126,000$0$0$No2,126,000$--------2,126,000$--------No--------Lien
Gabriel BourqueMoose (WPG)LW/RW341990-09-23QUENo206 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm2,157,000$0$0$No2,157,000$--------2,157,000$--------No--------Lien
Gustav OlofssonMoose (WPG)D301994-12-01SWENo200 Lbs6 ft2NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Jacob DotyMoose (WPG)C/RW321993-06-19USANo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Joseph BlandisiMoose (WPG)C/LW301994-07-18ONTNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,190,000$0$0$No2,190,000$--------2,190,000$--------No--------Lien / Lien NHL
Josh HealeyMoose (WPG)D301994-07-12ABNo205 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Lien / Lien NHL
Kevin ConleyMoose (WPG)C/LW281997-02-17USANo192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,026,000$0$0$No1,026,000$--------1,026,000$--------No--------Lien
Kyle MarinoMoose (WPG)C/D301995-06-01ONTNo220 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,014,000$0$0$No---------------------------Lien
Luka ProfacaMoose (WPG)D232002-03-30ONTYes181 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,043,000$0$0$No1,043,000$--------1,043,000$--------No--------Lien
Mike SgarbossaMoose (WPG)C321992-07-25ONTNo185 Lbs6 ft0NoNoFree AgentNoNo32024-09-18FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Nick JonesMoose (WPG)C/RW291996-06-02ABNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,050,000$0$0$No1,050,000$--------1,050,000$--------No--------Lien
Nikolas BrouillardMoose (WPG)D301995-02-07QUENo158 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,041,000$0$0$No1,041,000$--------1,041,000$--------No--------Lien
Ross JohnstonMoose (WPG)LW311994-02-18PEINo235 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm2,160,000$0$0$No2,160,000$--------2,160,000$--------No--------Lien / Lien NHL
Tanner FritzMoose (WPG)C/RW331991-08-20ABNo192 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,070,000$0$0$No1,070,000$--------1,070,000$--------No--------Lien
Taylor WardMoose (WPG)RW271998-03-31BCNo207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm972,000$0$0$No972,000$--------972,000$--------No--------Lien
Thomas MilicMoose (WPG)G222003-04-13BCYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Travis HoweMoose (WPG)C/LW/RW/D311994-02-10USANo198 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,007,000$0$0$No1,007,000$--------1,007,000$--------No--------Lien
Wyatt BongiovanniMoose (WPG)C251999-07-24USANo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,063,333$0$0$No1,063,333$--------1,063,333$--------No--------Lien
Zack MacEwenMoose (WPG)C/RW281996-07-08NBNo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm979,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2729.81200 Lbs6 ft12.001,295,012$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike SgarbossaTanner FritzZack MacEwen40122
2Joseph BlandisiAdam KlapkaNick Jones30122
3Adam KlapkaJoseph BlandisiZack MacEwen20122
4Zack MacEwenTaylor WardJoseph Blandisi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie40122
2Kyle MarinoDillon Heatherington30122
3Dillon HeatheringtonGustav Olofsson20122
4Nikolas BrouillardChase Priskie10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joseph BlandisiTanner FritzZack MacEwen60122
2Mike SgarbossaAdam KlapkaNick Jones40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chase PriskieKyle Marino60122
2Gustav OlofssonDillon Heatherington40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph BlandisiAdam Klapka60122
2Tanner FritzNick Jones40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dillon HeatheringtonKyle Marino60122
2Chase PriskieGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Adam Klapka60122Dillon HeatheringtonGustav Olofsson60122
2Nick Jones40122Nikolas BrouillardChase Priskie40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam KlapkaTanner Fritz60122
2Joseph BlandisiNick Jones40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav OlofssonChase Priskie60122
2Dillon HeatheringtonKyle Marino40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike SgarbossaAdam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike SgarbossaAdam KlapkaJoseph BlandisiDillon HeatheringtonChase Priskie
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Blandisi, Adam Klapka, Nick JonesAdam Klapka, Nick JonesAdam Klapka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dillon Heatherington, Chase Priskie, Nikolas BrouillardDillon HeatheringtonChase Priskie, Dillon Heatherington
Tirs de pénalité
Tanner Fritz, Joseph Blandisi, Kyle Marino, Nick Jones, Adam Klapka
Gardien
#1 : Thomas Milic, #2 : Alex Stalock


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 billets3515
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
46 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,496,533$ 3,496,533$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Moose 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

Moose 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

Moose 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

Moose 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

Moose 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