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Moose
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Dylan Nadeau | Morale : 50 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDylan Nadeau
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure18
Limite contact 40 / 250
Espoirs10


Historique d'équipe

Saison actuelle0-0
Historique160-382-21 (0.284%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0-0
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
1Alex Limoges (R)X100.00584383657880826673646763686764050640231700,000$
2Hudson FaschingX100.00593595628472736163626162617166050630251737,500$
3Mario KempeXXX100.00624383637180756569665856678273050630321700,000$
4Martin KautXX100.006439866578807564586263576563620506302121,319,167$
5Paul CareyXXX100.00503595647782786163606261638279050630321700,000$
6Nick BaptisteX100.00693986607884795861596257637169050620251787,500$
7Nick MoutreyX100.00797382568880855451535559547169050610251925,000$
8Ryan OlsenX100.00665471587588935663545753587367050600261701,667$
9Damien Riat (R)X100.00613987577179845658555453566764050590232925,000$
10Samuel KurkerX100.00723593538163675255545156527367050580261700,000$
11Matt BartkowskiX100.00583595607878745830605664498273050620321700,000$
12Matt DonovanX100.00693770617888935830645459467971050620301675,000$
13William BorgenX100.00833987588487805730585464476965050620231925,000$
14Reece WillcoxX100.00783691588781865730565259467367050610261675,000$
15Reece ScarlettX100.00624284597183885830575556477568050600271700,000$
16Markus Phillips (R)X100.00664285567577825530575458476362050590212801,667$
17Joe MorrowX100.00655669577478735830565354467769050590271700,000$
Rayé
1Jack Badini (R)X100.00663593537569745254515053526563050570222815,000$
MOYENNE D’ÉQUIPE100.0066428559787980584958575855726805061
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
1Garret Sparks100.0071858384706971706971707581050620271750,000$
2Tom McCollum100.0068716984676668676668678086050600301650,000$
Rayé
1Adam Wilcox100.0066868472656466656466657783050590271650,000$
2Filip Larsson100.00617169796059616059616065690505702221,100,000$
MOYENNE D’ÉQUIPE100.006778768066656766656766748005060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond 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 WilcoxMoose (WIN)G271992-11-26No189 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Alex LimogesMoose (WIN)C231997-09-16Yes201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Damien RiatMoose (WIN)RW231997-02-26Yes180 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Filip LarssonMoose (WIN)G221998-08-17No194 Lbs6 ft2NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien / Lien NHL
Garret SparksMoose (WIN)G271993-06-28No201 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Hudson FaschingMoose (WIN)RW251995-07-28No204 Lbs6 ft3NoNoNo1Pro & Farm737,500$0$0$NoLien / Lien NHL
Jack BadiniMoose (WIN)LW221998-01-19Yes203 Lbs6 ft0NoNoNo2Pro & Farm815,000$0$0$No815,000$Lien NHL
Joe MorrowMoose (WIN)D271992-12-09No196 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Mario KempeMoose (WIN)C/LW/RW321988-09-19No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Markus PhillipsMoose (WIN)D211999-03-21Yes202 Lbs6 ft0NoNoNo2Pro & Farm801,667$0$0$No801,667$Lien NHL
Martin KautMoose (WIN)LW/RW211999-10-02No190 Lbs6 ft2NoNoNo2Pro & Farm1,319,167$0$0$No1,319,167$Lien / Lien NHL
Matt BartkowskiMoose (WIN)D321988-06-04No201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Matt DonovanMoose (WIN)D301990-05-09No205 Lbs6 ft1NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Nick BaptisteMoose (WIN)RW251995-08-04No203 Lbs6 ft1NoNoNo1Pro & Farm787,500$0$0$NoLien / Lien NHL
Nick MoutreyMoose (WIN)LW251995-06-24No222 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Paul CareyMoose (WIN)C/LW/RW321988-09-24No196 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Reece ScarlettMoose (WIN)D271993-03-31No168 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Reece WillcoxMoose (WIN)D261994-03-20No205 Lbs6 ft4NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Ryan OlsenMoose (WIN)C261994-03-25No187 Lbs6 ft1NoNoNo1Pro & Farm701,667$0$0$NoLien / Lien NHL
Samuel KurkerMoose (WIN)RW261994-04-08No202 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Tom McCollumMoose (WIN)G301989-12-07No220 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
William BorgenMoose (WIN)D231996-12-19No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2226.00198 Lbs6 ft11.23788,068$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin KautAlex LimogesHudson Fasching40122
2Paul CareyMario KempeNick Baptiste30122
3Nick MoutreyRyan OlsenDamien Riat20122
4Martin KautAlex LimogesSamuel Kurker10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenMatt Bartkowski40122
2Matt DonovanReece Willcox30122
3Reece ScarlettMarkus Phillips20122
4Joe MorrowWilliam Borgen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin KautAlex LimogesHudson Fasching60122
2Paul CareyMario KempeNick Baptiste40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenMatt Bartkowski60122
2Matt DonovanReece Willcox40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex LimogesMartin Kaut60122
2Hudson FaschingMario Kempe40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenMatt Bartkowski60122
2Matt DonovanReece Willcox40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Limoges60122William BorgenMatt Bartkowski60122
2Martin Kaut40122Matt DonovanReece Willcox40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex LimogesMartin Kaut60122
2Hudson FaschingMario Kempe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenMatt Bartkowski60122
2Matt DonovanReece Willcox40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin KautAlex LimogesHudson FaschingWilliam BorgenMatt Bartkowski
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin KautAlex LimogesHudson FaschingWilliam BorgenMatt Bartkowski
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick Moutrey, Ryan Olsen, Damien RiatNick Moutrey, Ryan OlsenDamien Riat
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reece Scarlett, Markus Phillips, Joe MorrowReece ScarlettMarkus Phillips, Joe Morrow
Tirs de pénalité
Alex Limoges, Martin Kaut, Hudson Fasching, Mario Kempe, Paul Carey
Gardien
#1 : Garret Sparks, #2 : Tom McCollum


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,733,751$ 294,417$ 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$ 8 0$ 0$




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
482116300062185442-2574182700042102207-105413360002083235-15236185332517110775844224707627357224238122497316734595712.42%38511270.91%0817237034.47%960317930.20%404134729.99%14039072594639962411
582175701412241388-1474192601311119184-654183100101122204-8244241402643210101657325610878841826307683745519702205123.18%2096767.94%11115259542.97%822222936.88%600139942.89%196314051989545996494
682333501535314318-441161800322158169-11411717012131561497843145578711201361037133710108310901173351296246621832314419.05%2014975.62%31390295347.07%1329304743.62%633139545.38%1937137720195711009499
78287100102197513-3164163300101106250-144412380000191263-17219197324521100736460266708649188804397139239122141702615.29%1816663.54%0987268936.71%943280833.58%536147436.36%166711622295553968445
882126700120257596-3394183200100128283-1554143500020129313-184292574256821001138260332801152107510834870138026019381603421.25%1064656.60%0993265537.40%952283633.57%590159536.99%163711812359536934421
982314501032297387-9041162300011149183-3441152201021148204-56722975298262401248980323901095106510633926113139318671724425.58%1664374.10%21511291751.80%1474314446.88%666147345.21%178612682160560998476
1082294400315281334-5341191800004156154241102600311125180-55682814677483013086642309110381039994393573101237518701632817.18%1724573.84%21324273848.36%1377329541.79%635139645.49%181012932170555971465
Total Saison régulière5741413820314161817722978-1206287821770188119181430-51228759205026878541548-694352177230364808118130710525390205041038687367185786275927938331313715157528418.03%142042869.86%881371891743.01%78572053838.26%40641007940.32%12207859515589396268403215