Moose
GP: 28 | W: 14 | L: 13 | OTL: 1 | P: 29
GF: 98 | GA: 107 | PP%: 23.33% | PK%: 73.13%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 62
Prochain matchs #473 vs Stars
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Centre de jeu
Americans
17-7-4, 38pts
5
FINAL
2 Moose
14-13-1, 29pts
Team Stats
W1StreakL5
10-4-2Home Record6-5-1
7-3-2Away Record8-8-0
5-4-1Last 10 Games4-5-1
3.89Buts par match 3.50
2.71Buts contre par match 3.82
19.59%Pourcentage en avantage numérique23.33%
79.45%Pourcentage en désavantage numérique73.13%
Moose
14-13-1, 29pts
2
FINAL
6 Condors
21-7-1, 43pts
Team Stats
L5StreakW1
6-5-1Home Record9-3-0
8-8-0Away Record12-4-1
4-5-1Last 10 Games6-3-1
3.50Buts par match 4.24
3.82Buts contre par match 2.83
23.33%Pourcentage en avantage numérique22.99%
73.13%Pourcentage en désavantage numérique81.01%
Stars
13-15-2, 28pts
2025-12-09
Moose
14-13-1, 29pts
Statistiques d’équipe
W2SéquenceL5
6-8-1Fiche domicile6-5-1
7-7-1Fiche visiteur8-8-0
5-5-010 derniers matchs4-5-1
3.93Buts par match 3.50
4.17Buts contre par match 3.82
26.67%Pourcentage en avantage numérique23.33%
67.03%Pourcentage en désavantage numérique73.13%
Bruins
24-5-1, 49pts
2025-12-11
Moose
14-13-1, 29pts
Statistiques d’équipe
OTL1SéquenceL5
12-3-1Fiche domicile6-5-1
12-2-0Fiche visiteur8-8-0
8-1-110 derniers matchs4-5-1
4.20Buts par match 3.50
2.70Buts contre par match 3.82
25.24%Pourcentage en avantage numérique23.33%
84.69%Pourcentage en désavantage numérique73.13%
Bears
9-21-0, 18pts
2025-12-13
Moose
14-13-1, 29pts
Statistiques d’équipe
L5SéquenceL5
5-11-0Fiche domicile6-5-1
4-10-0Fiche visiteur8-8-0
1-9-010 derniers matchs4-5-1
3.07Buts par match 3.50
4.13Buts contre par match 3.82
34.57%Pourcentage en avantage numérique23.33%
74.51%Pourcentage en désavantage numérique73.13%
Meneurs d'équipe
Andrew PoturalskiButs
Andrew Poturalski
10
Andrew PoturalskiPasses
Andrew Poturalski
10
Andrew PoturalskiPoints
Andrew Poturalski
20
Andrew PoturalskiPlus/Moins
Andrew Poturalski
-6
Aaron DellVictoires
Aaron Dell
14
Aaron DellPourcentage d’arrêts
Aaron Dell
0.898

Statistiques d’équipe
Buts pour
98
3.50 GFG
Tirs pour
944
33.71 Avg
Pourcentage en avantage numérique
23.3%
21 GF
Début de zone offensive
38.3%
Buts contre
107
3.82 GAA
Tirs contre
1046
37.36 Avg
Pourcentage en désavantage numérique
73.1%
18 GA
Début de la zone défensive
42.5%
Information d’équipe

Directeur généralSam Vienneau
EntraîneurMark Recchi
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,973
Billets de saison300


Information formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 80
Espoirs28


Historique d'équipe

Saison actuelle14-13-1 (29PTS)
Historique44-60-9 (0.389%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Patrick Brown0XX100.00813890638186836272645867597377075650331975,000$
2Max Jones (R)0X100.00815375638780826258636260656869075640271950,000$
3Antonio Stranges (R)0X100.00573789656691806364626164666365075630231950,000$
4Filip Bystedt (R)0X100.00694081657884706470636261656163075630213950,000$
5Kole Lind (R)0X100.00704169647885866365625861636769075630263999,999$
6Lukas Rousek (R)0XX100.00583786667274866470655661596768075630263999,999$
7Nikita Grebenkin (R)0X100.00724175648275706357605856616364075620223950,000$
8T.J. Tynan0XXX100.00603869646073856273665759637375075620332999,999$
9Hayden Hodgson0X100.00786550598573775753585659576971075610292975,000$
10Zayde Wisdom (R)0X100.00623981597173825855575654586365075600231950,000$
11William Wallinder (R)0X100.00763994598565845830575263456365075610232950,000$
12Guillaume Brisebois (R)0X100.00653790587581705730565562496870075600283950,000$
13Tyson Hinds (R)0X100.00724081578167875630555358466264075600222950,000$
14Ryan Jones (R)0X100.00694083557866685230545053456971075580293950,000$
Rayé
1Reilly Walsh (R)0X100.00623887607170845730615556476668075600262975,000$
MOYENNE D’ÉQUIPE100.0069428061777680605260576057666807562
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Aaron Dell100.0069756977686769686769687690075630361838,800$
2Michael Houser100.0068757074676668676668677387075620332975,000$
Rayé
MOYENNE D’ÉQUIPE100.006975707668676968676968758907563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Recchi68636973847863CAN5721,000,000$


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
1Kole LindMoose (WPG)RW28201838-21406470147297713.61%1958220.8153830680000142157.45%4700101.3000000332
2Lukas RousekMoose (WPG)LW/RW28122032-3403648113196610.62%1659321.19461024880001182059.09%4400001.0800000130
3Filip BystedtMoose (WPG)C2882230-380308510622857.55%960321.550771668000103051.15%78400000.9900000211
4William WallinderMoose (WPG)D2881422-4260843859143413.56%4769524.8542627700001432037.50%2400000.6300000021
5Guillaume BriseboisMoose (WPG)D2841620-512033465719337.02%4666823.86461035810001530027.27%1100000.6000000102
6Nikita GrebenkinMoose (WPG)RW2841620-520060426122576.56%855819.96011160000151148.87%13300000.7200000003
7Andrew PoturalskiJetsC/LW/RW16101020-620114681246412.35%1641225.7922417450004401046.94%4900100.9700000303
8T.J. TynanMoose (WPG)C/LW/RW2861319-114027697922567.59%658620.9401101000080151.30%26900000.6500000100
9Reilly WalshMoose (WPG)D2659145120333146142510.87%4662824.1813422620000392133.33%600000.4500000100
10Hayden HodgsonMoose (WPG)RW286814-112001093638112715.79%2952118.6100000000001036.36%1100000.5400000000
11Zayde WisdomMoose (WPG)C284913-1760293931131912.90%2866023.5900000000000040.12%16200000.3900000001
12Antonio StrangesMoose (WPG)C164711-4006655417497.41%634521.6101106000060048.27%34600000.6400000000
13Patrick BrownMoose (WPG)C/RW936907530352652311.54%620422.720220210000160050.54%27700000.8800001100
14Tyson HindsMoose (WPG)D11044310025109680.00%1522420.41033326000020000.00%000000.3600000000
15Max JonesMoose (WPG)LW11121002250220.00%11515.28000120000000100.00%100002.6200000100
16Ryan JonesMoose (WPG)D3011100431100.00%14314.410000000001000.00%000000.4600000000
Statistiques d’équipe totales ou en moyenne33495174269-61145558366591323862510.41%299734421.99203757176550000827914449.49%216400200.730000114913
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
1Aaron DellMoose (WPG)28141310.8983.811589201019870000.0000280131
2Michael HouserMoose (WPG)30000.8983.6798006590000.0000028000
Statistiques d’équipe totales ou en moyenne31141310.8983.8116872010710460000.00002828131


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 restantSalaire moyenSalaire moyen 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
Aaron DellMoose (WPG)G361989-05-04No213 Lbs6 ft0NoNoNo1Pro & Farm838,800$567,938$838,800$567,938$0$0$NoLien / Lien NHL
Antonio StrangesMoose (WPG)C232002-02-05Yes168 Lbs5 ft11NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Filip BystedtMoose (WPG)C212004-02-04Yes187 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Guillaume BriseboisMoose (WPG)D281997-07-21Yes175 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Hayden HodgsonMoose (WPG)RW291996-03-02No221 Lbs6 ft2NoNoNo2Pro & Farm975,000$660,156$975,000$660,156$0$0$No975,000$Lien / Lien NHL
Kole LindMoose (WPG)RW261998-10-16Yes193 Lbs6 ft1NoNoNo3Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$999,999$Lien / Lien NHL
Lukas RousekMoose (WPG)LW/RW261999-04-20Yes171 Lbs5 ft11NoNoNo3Pro & Farm999,999$677,083$999,999$677,083$0$0$No999,999$999,999$Lien / Lien NHL
Max JonesMoose (WPG)LW271998-02-17Yes216 Lbs6 ft3NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Michael HouserMoose (WPG)G331992-09-13No185 Lbs6 ft1NoNoNo2Pro & Farm975,000$660,156$975,000$660,156$0$0$No975,000$Lien / Lien NHL
Nikita GrebenkinMoose (WPG)RW222003-05-02Yes210 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
Patrick BrownMoose (WPG)C/RW331992-05-29No218 Lbs6 ft1NoNoNo1Pro & Farm975,000$660,156$975,000$660,156$0$0$NoLien / Lien NHL
Reilly WalshMoose (WPG)D261999-04-21Yes185 Lbs6 ft0NoNoNo2Pro & Farm975,000$660,156$975,000$660,156$0$0$No975,000$Lien / Lien NHL
Ryan JonesMoose (WPG)D291996-05-26Yes186 Lbs6 ft2NoNoNo3Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$950,000$Lien / Lien NHL
T.J. Tynan (contrat à 1 volet)Moose (WPG)C/LW/RW331992-02-25No160 Lbs5 ft8NoNoNo2Pro & Farm999,999$677,083$999,999$677,083$999,999$677,083$No999,999$Lien / Lien NHL
Tyson HindsMoose (WPG)D222003-03-12Yes188 Lbs6 ft3NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
William WallinderMoose (WPG)D232002-07-28Yes191 Lbs6 ft4NoNoNo2Pro & Farm950,000$643,229$950,000$643,229$0$0$No950,000$Lien / Lien NHL
Zayde WisdomMoose (WPG)C232002-07-07Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$643,229$950,000$643,229$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1727.06192 Lbs6 ft12.06958,165$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas Rousek40122
2Filip BystedtKole Lind30122
3T.J. TynanNikita Grebenkin20122
4Zayde WisdomHayden Hodgson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder40122
2Guillaume Brisebois30122
3Hayden Hodgson20122
4William Wallinder10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Lukas Rousek60122
2Filip BystedtKole Lind40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Lukas Rousek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122William Wallinder60122
240122Guillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Lukas Rousek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Guillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas RousekWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Lukas RousekWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, T.J. Tynan, Nikita Grebenkin, T.J. TynanNikita Grebenkin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Guillaume Brisebois, Guillaume Brisebois
Tirs de pénalité
, , , Lukas Rousek, Kole Lind
Gardien
#1 : Aaron Dell, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
, , , Lukas Rousek, Kole Lind, Filip Bystedt, Filip Bystedt, , T.J. Tynan, Nikita Grebenkin, Hayden Hodgson
Lignes de défense personnalisées en prolongation
William Wallinder, , , Guillaume Brisebois,


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
1Admirals20101000880100010003211010000056-120.5008142200343328356318316302879278535240.00%3233.33%045594348.25%485104746.32%23447549.26%638440695206358176
2Americans2020000059-41010000025-31010000034-100.00051015003433283453183163028751810514125.00%5260.00%045594348.25%485104746.32%23447549.26%638440695206358176
3Barracuda11000000422000000000001100000042221.00047110034332832631831630283811812400.00%3166.67%045594348.25%485104746.32%23447549.26%638440695206358176
4Bears11000000321000000000001100000032121.000347003433283203183163028469221000.00%10100.00%045594348.25%485104746.32%23447549.26%638440695206358176
5Comets1010000024-2000000000001010000024-200.0002460034332832631831630285094213266.67%2150.00%045594348.25%485104746.32%23447549.26%638440695206358176
6Condors1010000026-4000000000001010000026-400.0002240034332832531831630283713611200.00%3166.67%045594348.25%485104746.32%23447549.26%638440695206358176
7Firebirds22000000954110000005231100000043141.0009162500343328380318316302851141035600.00%40100.00%045594348.25%485104746.32%23447549.26%638440695206358176
8Gulls11000000642000000000001100000064221.00061218003433283443183163028221122311100.00%10100.00%045594348.25%485104746.32%23447549.26%638440695206358176
9IceHogs1010000015-41010000015-40000000000000.00012300343328330318316302835126153133.33%3233.33%045594348.25%485104746.32%23447549.26%638440695206358176
10Monsters1000010034-11000010034-10000000000010.5003690034332833231831630283912620200.00%3166.67%045594348.25%485104746.32%23447549.26%638440695206358176
11Penguins1010000024-21010000024-20000000000000.00024600343328333318316302838108194125.00%4175.00%045594348.25%485104746.32%23447549.26%638440695206358176
12Phantoms11000000532000000000001100000053221.000591400343328338318316302842124224125.00%20100.00%045594348.25%485104746.32%23447549.26%638440695206358176
13Reign20101000880100010006511010000023-120.50081624003433283713183163028922012536116.67%6183.33%045594348.25%485104746.32%23447549.26%638440695206358176
14Roadrunners1010000056-11010000056-10000000000000.00051015003433283313183163028492412194250.00%50100.00%045594348.25%485104746.32%23447549.26%638440695206358176
15Rocket1010000027-5000000000001010000027-500.0002460034332834131831630283519624500.00%3233.33%045594348.25%485104746.32%23447549.26%638440695206358176
16Sound Tigers1010000025-3000000000001010000025-300.0002460034332835131831630283811420600.00%2150.00%045594348.25%485104746.32%23447549.26%638440695206358176
17Stars10001000431100010004310000000000021.00047110034332834831831630282992243133.33%10100.00%045594348.25%485104746.32%23447549.26%638440695206358176
18Wild220000001073110000005411100000053241.0001019290034332839431831630287617104211327.27%5180.00%045594348.25%485104746.32%23447549.26%638440695206358176
19Wolves22000000743110000004221100000032141.00071320003433283493183163028952512565360.00%50100.00%045594348.25%485104746.32%23447549.26%638440695206358176
20Wranglers312000001011-11010000023-12110000088020.33310182800343328310431831630288023176112216.67%6266.67%045594348.25%485104746.32%23447549.26%638440695206358176
Total2811130310098107-91235031004245-31688000005662-6290.5189818127900343328394431831630281046306149602902123.33%671873.13%045594348.25%485104746.32%23447549.26%638440695206358176
_Since Last GM Reset2811130310098107-91235031004245-31688000005662-6290.5189818127900343328394431831630281046306149602902123.33%671873.13%045594348.25%485104746.32%23447549.26%638440695206358176
_Vs Conference1878030006969082303000313011055000003839-1200.55669127196003433283635318316302863819097369601525.00%421173.81%045594348.25%485104746.32%23447549.26%638440695206358176
_Vs Division723020002829-1512020001820-221100000109180.5712852800034332832593183163028268893815326934.62%17570.59%045594348.25%485104746.32%23447549.26%638440695206358176

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2829L598181279944104630614960200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
281113310098107
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
123531004245
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
168800005662
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
902123.33%671873.13%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
31831630283433283
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
45594348.25%485104746.32%23447549.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
638440695206358176


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
3 - 2025-10-0917Stars3Moose4BWXSommaire du match
5 - 2025-10-1122Reign5Moose6BWXSommaire du match
7 - 2025-10-1342Moose2Sound Tigers5ALSommaire du match
10 - 2025-10-1665Moose5Phantoms3AWSommaire du match
12 - 2025-10-1884Admirals2Moose3BWXSommaire du match
14 - 2025-10-2096Moose3Wranglers6ALSommaire du match
17 - 2025-10-23119Firebirds2Moose5BWSommaire du match
18 - 2025-10-24126Wranglers3Moose2BLSommaire du match
20 - 2025-10-26143Roadrunners6Moose5BLSommaire du match
22 - 2025-10-28157Moose5Wild3AWSommaire du match
24 - 2025-10-30174IceHogs5Moose1BLSommaire du match
26 - 2025-11-01182Penguins4Moose2BLSommaire du match
29 - 2025-11-04212Moose2Reign3ALSommaire du match
32 - 2025-11-07230Moose4Barracuda2AWSommaire du match
34 - 2025-11-09251Moose6Gulls4AWSommaire du match
36 - 2025-11-11263Moose2Comets4ALSommaire du match
38 - 2025-11-13278Moose4Firebirds3AWSommaire du match
40 - 2025-11-15294Moose5Wranglers2AWSommaire du match
43 - 2025-11-18311Monsters4Moose3BLXSommaire du match
46 - 2025-11-21333Wolves2Moose4BWSommaire du match
48 - 2025-11-23348Wild4Moose5BWSommaire du match
51 - 2025-11-26367Moose3Bears2AWSommaire du match
53 - 2025-11-28387Moose3Wolves2AWSommaire du match
54 - 2025-11-29397Moose5Admirals6ALSommaire du match
56 - 2025-12-01408Moose3Americans4ALSommaire du match
58 - 2025-12-03422Moose2Rocket7ALSommaire du match
60 - 2025-12-05437Americans5Moose2BLSommaire du match
61 - 2025-12-06450Moose2Condors6ALSommaire du match
64 - 2025-12-09473Stars-Moose-
66 - 2025-12-11489Bruins-Moose-
68 - 2025-12-13503Bears-Moose-
70 - 2025-12-15516Senators-Moose-
72 - 2025-12-17531Moose-Thunderbirds-
74 - 2025-12-19546Moose-Eagles-
76 - 2025-12-21569Moose-Roadrunners-
82 - 2025-12-27594Wild-Moose-
84 - 2025-12-29609Condors-Moose-
86 - 2025-12-31626Moose-Griffins-
87 - 2026-01-01634Moose-Marlies-
89 - 2026-01-03650Moose-Senators-
92 - 2026-01-06673Silver Knights-Moose-
94 - 2026-01-08690Condors-Moose-
95 - 2026-01-09695Reign-Moose-
97 - 2026-01-11711Devils-Moose-
99 - 2026-01-13732Sound Tigers-Moose-
101 - 2026-01-15744Moose-Wild-
103 - 2026-01-17762Marlies-Moose-
105 - 2026-01-19776Moose-IceHogs-
106 - 2026-01-20785Thunderbirds-Moose-
108 - 2026-01-22799Checkers-Moose-
110 - 2026-01-24815Griffins-Moose-
113 - 2026-01-27835Moose-Devils-
115 - 2026-01-29846Moose-Crunch-
117 - 2026-01-31862Moose-Checkers-
119 - 2026-02-02882Moose-Stars-
121 - 2026-02-04895Rocket-Moose-
142 - 2026-02-25915Moose-Comets-
144 - 2026-02-27933Moose-Gulls-
146 - 2026-03-01949Moose-Barracuda-
148 - 2026-03-03964IceHogs-Moose-
150 - 2026-03-05980Crunch-Moose-
152 - 2026-03-07996Comets-Moose-
155 - 2026-03-101022Gulls-Moose-
157 - 2026-03-121036Wolf Pack-Moose-
159 - 2026-03-141045Eagles-Moose-
160 - 2026-03-151057Thunderbirds-Moose-
162 - 2026-03-171072Admirals-Moose-
164 - 2026-03-191083Moose-Bruins-
166 - 2026-03-211099Moose-Penguins-
167 - 2026-03-221110Moose-Wolf Pack-
169 - 2026-03-241131Silver Knights-Moose-
171 - 2026-03-261145Eagles-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281162Moose-Eagles-
176 - 2026-03-311186Moose-IceHogs-
178 - 2026-04-021198Moose-Stars-
180 - 2026-04-041215Moose-Monsters-
182 - 2026-04-061230Firebirds-Moose-
185 - 2026-04-091253Moose-Thunderbirds-
187 - 2026-04-111272Phantoms-Moose-
189 - 2026-04-131291Moose-Silver Knights-
190 - 2026-04-141297Moose-Roadrunners-
192 - 2026-04-161308Barracuda-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance23,72411,957
Assistance PCT98.85%99.64%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-2 2973 - 99.11% 80,464$965,568$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
854,292$ 1,528,880$ 1,528,880$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 526,898$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-160,928$ 130 13,171$ 1,712,230$




Moose 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
1Max Jones8242519357123919633812.43%40195823.88912215103395245.82%00.9524
2Gerry Mayhew82323769-16145721425512.55%21175721.44413174021353249.19%00.7914
3Marc Del Gaizo81145165-10742041361539.15%149179122.127916780331100.00%00.7300
4Hayden Hodgson110243761-28993561462439.88%41193717.613581700002145.00%00.6300
5Brian Pinho82184361-18522082208.18%18160219.5469153801142248.12%00.7604

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
1Aaron Dell110445560.8933.9559344039136480430.68419
2Michael Houser180500.9212.7470000324060000.0000

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
Saison régulière
202482244704322272321-4941132203102126149-2341112501220146172-26652724837553093997410257383586285540301188164020392495020.08%2786676.26%71334275948.35%1448311346.51%683139149.10%1838123220436171073528
20252811130310098107-91235031004245-31688000005662-6299818127900343328394431831630281046306149602902123.33%671873.13%045594348.25%485104746.32%23447549.26%638440695206358176
Total Saison régulière110356007422370428-5853162706202168194-2657193301220202234-3294370664103430127132102133517115311781157484057118778926413397120.94%3458475.65%71789370248.33%1933416046.47%917186649.14%2476167327388241431704

Moose 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

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