Moose
GP: 24 | W: 10 | L: 14 | OTL: 0 | P: 20
GF: 82 | GA: 90 | PP%: 23.29% | PK%: 79.01%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 61
Prochain matchs #391 vs Stars
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Centre de jeu
Moose
10-14-0, 20pts
2
FINAL
4 Reign
13-9-3, 29pts
Team Stats
W1StreakL1
2-8-0Home Record5-3-3
8-6-0Away Record8-6-0
4-6-0Last 10 Games6-3-1
3.42Buts par match 3.60
3.75Buts contre par match 3.60
23.29%Pourcentage en avantage numérique24.32%
79.01%Pourcentage en désavantage numérique82.19%
Moose
10-14-0, 20pts
6
FINAL
3 Silver Knights
11-11-3, 25pts
Team Stats
W1StreakL4
2-8-0Home Record5-6-1
8-6-0Away Record6-5-2
4-6-0Last 10 Games3-6-1
3.42Buts par match 3.48
3.75Buts contre par match 3.52
23.29%Pourcentage en avantage numérique18.92%
79.01%Pourcentage en désavantage numérique78.16%
Moose
10-14-0, 20pts
2024-12-01
Stars
13-5-4, 30pts
Statistiques d’équipe
W1SéquenceL1
2-8-0Fiche domicile7-2-2
8-6-0Fiche visiteur6-3-2
4-6-010 derniers matchs5-2-3
3.42Buts par match 3.77
3.75Buts contre par match 2.95
23.29%Pourcentage en avantage numérique25.40%
79.01%Pourcentage en désavantage numérique81.54%
Thunderbirds
9-15-1, 19pts
2024-12-03
Moose
10-14-0, 20pts
Statistiques d’équipe
L1SéquenceW1
5-7-0Fiche domicile2-8-0
4-8-1Fiche visiteur8-6-0
5-5-010 derniers matchs4-6-0
2.80Buts par match 3.42
4.00Buts contre par match 3.75
14.10%Pourcentage en avantage numérique23.29%
73.91%Pourcentage en désavantage numérique79.01%
Moose
10-14-0, 20pts
2024-12-05
Americans
12-11-1, 25pts
Statistiques d’équipe
W1SéquenceL2
2-8-0Fiche domicile6-6-1
8-6-0Fiche visiteur6-5-0
4-6-010 derniers matchs4-5-1
3.42Buts par match 3.13
3.75Buts contre par match 3.29
23.29%Pourcentage en avantage numérique19.75%
79.01%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Andrew PoturalskiButs
Andrew Poturalski
11
Andrew PoturalskiPasses
Andrew Poturalski
13
Andrew PoturalskiPoints
Andrew Poturalski
24
Andrew PoturalskiPlus/Moins
Andrew Poturalski
4
Aaron DellVictoires
Aaron Dell
10
Michael HouserPourcentage d’arrêts
Michael Houser
0.921

Statistiques d’équipe
Buts pour
82
3.42 GFG
Tirs pour
720
30.00 Avg
Pourcentage en avantage numérique
23.3%
17 GF
Début de zone offensive
37.8%
Buts contre
90
3.75 GAA
Tirs contre
843
35.13 Avg
Pourcentage en désavantage numérique
79.0%
17 GA
Début de la zone défensive
42.3%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,956
Billets de saison300


Information formation

Équipe Pro21
Équipe Mineure22
Limite contact 43 / 80
Espoirs29


Historique d'équipe

Saison actuelle10-14-0 (20PTS)
Historique1097-676-166 (0.566%)
Apparitions séries éliminatoires 15
Historique séries éliminatoires (W-L)97-80
Stanley Cup2


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
1Julien Gauthier0X100.00824095699277796457606862676971075670261989,200$
2Max Jones (R)0X100.00785373658780836357646263656869075650262950,000$
3Gerry Mayhew0XX100.00623875616384866065586256617274075620311750,000$
4Brian Pinho0X100.00663795607585835868615759586971075620291750,000$
5Brett Sutter0X100.00653978567478815455535762567782075610371750,000$
6CJ Suess26X100.00613881597076815663575854557072075600301750,000$
7Antonio Stranges (R)0X100.00573695606681735861595756616365075600222950,000$
8Brendan Furry0X100.00683978597775705660585755596668075600261750,000$
9Hayden Hodgson0X100.00775553588269775760565559576870075600283975,000$
10Casey Dornbach0X100.00623895557164615450525351556769075570271750,000$
11Ethan de Jong0X100.00603595566960615552545051536567075570251750,000$
12Zayde Wisdom (R)0X100.00623886557169775458525351556264075570222950,000$
13Marc Del Gaizo (R)0X100.00693880657085866330665864496567075630241950,000$
14Reilly Walsh (R)0X100.00613787627172845830615657486567075610253975,000$
15William Wallinder (R)0X100.00763995588568725630545257456264075600223950,000$
16Dmitry Osipov0X100.00836864549262735330525159476870075590281750,000$
17Mitch Reinke0X100.00603792576966745630585354466870075590281750,000$
18Kyle Marino0X100.00787359558766815457525356546971075590291750,000$
19Matt Pietroniro0X100.00654365567463765530545357456668075580251750,000$
Rayé
MOYENNE D’ÉQUIPE100.0068438159767377575057565755676907560
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 Dell100.0075807477747375747375747689075660352838,800$
2Michael Houser100.0067757074666567666567667386075620323975,000$
Rayé
MOYENNE D’ÉQUIPE100.007178727670697170697170758807564
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mark Recchi68636973847863CAN5631,000,000$


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
1Max JonesMoose (WPG)LW241115266215995885377812.94%958124.2304410610222682151.90%15800000.8900100321
2Andrew PoturalskiJetsC/LW/RW2211132440077165235416.92%1148221.9242612572024652052.31%58500111.0000000310
3Marc Del GaizoMoose (WPG)D2461824-1220603547162212.77%5058424.363252660022058000.00%000000.8200000003
4Brendan FurryMoose (WPG)LW2471421-260263964246510.94%643318.072351561000000037.14%3500000.9700000101
5Gerry MayhewMoose (WPG)C/RW249817060202668194413.24%1048120.0713413631011322056.25%3200000.7100000041
6Brian PinhoMoose (WPG)C2461117-10015736927478.70%547619.8424610610111381051.60%59300000.7100000011
7Hayden HodgsonMoose (WPG)RW2471017-1280793070204910.00%440516.91235644000000060.00%2000000.8400000101
8Brett SutterMoose (WPG)C246713-11120364745114013.33%334014.1700013000042043.75%40000000.7600000000
9Matt PietroniroMoose (WPG)D242911116066161261316.67%3637615.6800002000028000.00%000000.5800000010
10Mitch ReinkeMoose (WPG)D193811-2401013110527.27%2228214.851120400006100.00%000000.7800000100
11CJ SuessMoose (WPG)LW24459-820172335133211.43%334614.44000000000150041.67%1200000.5200000000
12Reilly WalshMoose (WPG)D24189-3402031257164.00%3158724.491341357000162000.00%000000.3100000000
13Kyle MarinoMoose (WPG)D24279-72404516346155.88%3248020.010111360011050000.00%000000.3700000001
14Julien GauthierMoose (WPG)RW935806011112871610.71%215817.601122151011230043.53%8500001.0100000001
15Dmitry OsipovMoose (WPG)D24066-62405421216190.00%3349120.48000760000059000.00%000000.2400000001
16Antonio StrangesMoose (WPG)C24213-1001131271116.67%81747.28000000000210044.17%12000000.3400000000
17Ethan de JongMoose (WPG)RW24213-11201219221219.09%327511.4700000000000047.37%1900000.2200000000
18William WallinderMoose (WPG)D23123510053982612.50%1935115.3000001000022000.00%000000.1700000000
19Casey DornbachMoose (WPG)RW24011-100137040.00%0793.3300001000000069.23%1300000.2500000000
20Zayde WisdomMoose (WPG)C24000-300220100.00%0170.7300001000000050.00%400000.0000000000
Statistiques d’équipe totales ou en moyenne45783149232-42187563455672823355711.40%287740816.2117274412862046101056010149.47%207600110.63001009911
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)24101300.8913.99121920817410110.0000240110
2Michael HouserMoose (WPG)60100.9212.182200081010000.0000024000
Statistiques d’équipe totales ou en moyenne30101400.8943.71143920898420110.00002424110


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)G351989-05-04No213 Lbs6 ft0NoNoNo2Pro & Farm838,800$590,584$838,800$590,584$0$0$No838,800$Lien / Lien NHL
Antonio StrangesMoose (WPG)C222002-02-05Yes168 Lbs5 ft11NoNoNo2Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$Lien / Lien NHL
Brendan FurryMoose (WPG)LW261998-07-08No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien
Brett SutterMoose (WPG)C371987-06-02No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Brian PinhoMoose (WPG)C291995-05-11No190 Lbs6 ft1NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
CJ SuessMoose (WPG)LW301994-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Casey DornbachMoose (WPG)RW271997-07-07No181 Lbs6 ft0NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien
Dmitry OsipovMoose (WPG)D281996-10-04No230 Lbs6 ft4NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Ethan de JongMoose (WPG)RW251999-07-12No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien
Gerry MayhewMoose (WPG)C/RW311992-12-31No161 Lbs5 ft9NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Hayden HodgsonMoose (WPG)RW281996-03-02No208 Lbs6 ft2NoNoNo3Pro & Farm975,000$686,480$975,000$686,480$0$0$No975,000$975,000$Lien / Lien NHL
Julien GauthierMoose (WPG)RW261997-10-15No226 Lbs6 ft4NoNoNo1Pro & Farm989,200$696,478$989,200$696,478$0$0$NoLien / Lien NHL
Kyle MarinoMoose (WPG)D291995-06-01No220 Lbs6 ft3NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Marc Del GaizoMoose (WPG)D241999-10-11Yes188 Lbs5 ft11NoNoNo1Pro & Farm950,000$668,878$950,000$668,878$0$0$NoLien / Lien NHL
Matt PietroniroMoose (WPG)D251998-10-20No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Max JonesMoose (WPG)LW261998-02-17Yes216 Lbs6 ft3NoNoNo2Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$Lien / Lien NHL
Michael HouserMoose (WPG)G321992-09-13No185 Lbs6 ft1NoNoNo3Pro & Farm975,000$686,480$975,000$686,480$0$0$No975,000$975,000$Lien / Lien NHL
Mitch ReinkeMoose (WPG)D281996-02-04No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$528,061$750,000$528,061$0$0$NoLien / Lien NHL
Reilly WalshMoose (WPG)D251999-04-21Yes185 Lbs6 ft0NoNoNo3Pro & Farm975,000$686,480$975,000$686,480$0$0$No975,000$975,000$Lien / Lien NHL
William WallinderMoose (WPG)D222002-07-28Yes191 Lbs6 ft4NoNoNo3Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$950,000$
Zayde WisdomMoose (WPG)C222002-07-07Yes195 Lbs5 ft11NoNoNo2Pro & Farm950,000$668,878$950,000$668,878$0$0$No950,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2127.48195 Lbs6 ft11.57845,381$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesGerry Mayhew40122
2Brendan FurryBrian PinhoHayden Hodgson30122
3CJ SuessBrett SutterEthan de Jong20122
4Max JonesAntonio StrangesCasey Dornbach10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh40122
2Dmitry OsipovKyle Marino30122
3Mitch ReinkeMatt Pietroniro20122
4Marc Del GaizoReilly Walsh10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max JonesGerry Mayhew60122
2Brendan FurryBrian PinhoHayden Hodgson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2Dmitry OsipovKyle Marino40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Max Jones60122
2Brian PinhoGerry Mayhew40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2Dmitry OsipovKyle Marino40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Jones60122Marc Del GaizoReilly Walsh60122
240122Dmitry OsipovKyle Marino40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Max Jones60122
2Brian PinhoGerry Mayhew40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marc Del GaizoReilly Walsh60122
2Dmitry OsipovKyle Marino40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesGerry MayhewMarc Del GaizoReilly Walsh
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesGerry MayhewMarc Del GaizoReilly Walsh
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zayde Wisdom, Brett Sutter, Antonio StrangesZayde Wisdom, Brett SutterAntonio Stranges
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitch Reinke, Matt Pietroniro, Dmitry OsipovMitch ReinkeMatt Pietroniro, Dmitry Osipov
Tirs de pénalité
Max Jones, , Brian Pinho, Gerry Mayhew, Brett Sutter
Gardien
#1 : Aaron Dell, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
Max Jones, , Brian Pinho, Gerry Mayhew, Brett Sutter, Antonio Stranges, Antonio Stranges, Brendan Furry, CJ Suess, Hayden Hodgson, Ethan de Jong
Lignes de défense personnalisées en prolongation
Marc Del Gaizo, Reilly Walsh, Dmitry Osipov, Kyle Marino, Mitch Reinke


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
1Admirals11000000725000000000001100000072521.000713200028282513822623725342832282150.00%10100.00%038578349.17%42787548.80%21541152.31%547368581180312155
2Barracuda1010000035-21010000035-20000000000000.000347002828251312262372534354824100.00%30100.00%038578349.17%42787548.80%21541152.31%547368581180312155
3Checkers211000008531010000034-11100000051420.5008142200282825152226237253491201458200.00%7271.43%038578349.17%42787548.80%21541152.31%547368581180312155
4Condors1010000023-1000000000001010000023-100.000246002828251322262372534239417300.00%20100.00%038578349.17%42787548.80%21541152.31%547368581180312155
5Crunch20200000411-71010000016-51010000035-200.000471100282825155226237253476322039800.00%10370.00%238578349.17%42787548.80%21541152.31%547368581180312155
6Eagles1010000014-31010000014-30000000000000.00011200282825126226237253440144333133.33%10100.00%038578349.17%42787548.80%21541152.31%547368581180312155
7Firebirds11000000541000000000001100000054121.000510150028282512822623725343596283266.67%30100.00%038578349.17%42787548.80%21541152.31%547368581180312155
8Griffins1010000026-4000000000001010000026-400.00024600282825127226237253433151021100.00%4175.00%038578349.17%42787548.80%21541152.31%547368581180312155
9IceHogs1010000017-61010000017-60000000000000.000123002828251272262372534351312305120.00%6266.67%038578349.17%42787548.80%21541152.31%547368581180312155
10Marlies11000000725110000007250000000000021.00071118002828251462262372534391610175360.00%5180.00%238578349.17%42787548.80%21541152.31%547368581180312155
11Monsters11000000523000000000001100000052321.000510150028282512622623725342891024300.00%4175.00%038578349.17%42787548.80%21541152.31%547368581180312155
12Penguins20200000610-41010000024-21010000046-200.000612180028282517222623725348127203310110.00%9366.67%038578349.17%42787548.80%21541152.31%547368581180312155
13Reign1010000024-2000000000001010000024-200.000246002828251262262372534339425000.00%20100.00%038578349.17%42787548.80%21541152.31%547368581180312155
14Roadrunners1010000024-21010000024-20000000000000.000246102828251192262372534318222300.00%10100.00%038578349.17%42787548.80%21541152.31%547368581180312155
15Silver Knights11000000633000000000001100000063321.000611170028282513622623725343456305240.00%30100.00%038578349.17%42787548.80%21541152.31%547368581180312155
16Stars1010000034-11010000034-10000000000000.00035800282825127226237253434128224250.00%40100.00%038578349.17%42787548.80%21541152.31%547368581180312155
17Thunderbirds11000000523000000000001100000052321.00058130028282513922623725343292242150.00%10100.00%038578349.17%42787548.80%21541152.31%547368581180312155
18Wild21001000853110000003121000100054141.00081422002828251482262372534702316507114.29%8187.50%038578349.17%42787548.80%21541152.31%547368581180312155
19Wolf Pack1010000025-3000000000001010000025-300.000235002828251392262372534381910265120.00%5340.00%038578349.17%42787548.80%21541152.31%547368581180312155
20Wranglers11000000321000000000001100000032121.0003690028282512622623725342712113011100.00%20100.00%038578349.17%42787548.80%21541152.31%547368581180312155
Total24914010008290-81028000002641-1514760100056497200.417821472291028282517202262372534843268179581731723.29%811779.01%438578349.17%42787548.80%21541152.31%547368581180312155
_Since Last GM Reset24914010008290-81028000002641-1514760100056497200.417821472291028282517202262372534843268179581731723.29%811779.01%438578349.17%42787548.80%21541152.31%547368581180312155
_Vs Conference1467010004849-1615000001325-1285201000352411140.5004886134102828251403226237253445713085363391230.77%37391.89%038578349.17%42787548.80%21541152.31%547368581180312155
_Vs Division834010002728-1514000001020-1032001000178980.5002747741028282512242262372534270824620926726.92%22386.36%038578349.17%42787548.80%21541152.31%547368581180312155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2420W18214722972084326817958110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2491410008290
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
102800002641
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
147610005649
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
731723.29%811779.01%4
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
22623725342828251
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
38578349.17%42787548.80%21541152.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
547368581180312155


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
6 - 2024-10-098Moose2Condors3ALSommaire du match
8 - 2024-10-1121IceHogs7Moose1BLSommaire du match
10 - 2024-10-1338Wild1Moose3BWSommaire du match
15 - 2024-10-1873Barracuda5Moose3BLSommaire du match
17 - 2024-10-2088Penguins4Moose2BLSommaire du match
19 - 2024-10-2299Moose5Thunderbirds2AWSommaire du match
21 - 2024-10-24116Moose5Firebirds4AWSommaire du match
23 - 2024-10-26129Moose3Wranglers2AWSommaire du match
25 - 2024-10-28143Marlies2Moose7BWSommaire du match
27 - 2024-10-30156Moose2Griffins6ALSommaire du match
29 - 2024-11-01171Moose5Monsters2AWSommaire du match
31 - 2024-11-03186Crunch6Moose1BLSommaire du match
33 - 2024-11-05201Roadrunners4Moose2BLSommaire du match
35 - 2024-11-07217Eagles4Moose1BLSommaire du match
37 - 2024-11-09230Stars4Moose3BLSommaire du match
40 - 2024-11-12247Moose2Wolf Pack5ALSommaire du match
42 - 2024-11-14259Moose3Crunch5ALSommaire du match
44 - 2024-11-16277Moose5Checkers1AWSommaire du match
47 - 2024-11-19297Checkers4Moose3BLSommaire du match
50 - 2024-11-22316Moose4Penguins6ALSommaire du match
51 - 2024-11-23329Moose7Admirals2AWSommaire du match
53 - 2024-11-25342Moose5Wild4AWXSommaire du match
55 - 2024-11-27359Moose2Reign4ALSommaire du match
57 - 2024-11-29374Moose6Silver Knights3AWSommaire du match
59 - 2024-12-01391Moose-Stars-
61 - 2024-12-03403Thunderbirds-Moose-
63 - 2024-12-05410Moose-Americans-
65 - 2024-12-07427Moose-IceHogs-
66 - 2024-12-08439Monsters-Moose-
68 - 2024-12-10452Bruins-Moose-
70 - 2024-12-12468Silver Knights-Moose-
72 - 2024-12-14482Rocket-Moose-
75 - 2024-12-17506Moose-Barracuda-
76 - 2024-12-18511Moose-Gulls-
79 - 2024-12-21536Wild-Moose-
81 - 2024-12-23546Moose-Marlies-
86 - 2024-12-28574Senators-Moose-
88 - 2024-12-30587Admirals-Moose-
89 - 2024-12-31597Moose-Eagles-
91 - 2025-01-02609Gulls-Moose-
93 - 2025-01-04621Griffins-Moose-
96 - 2025-01-07647Admirals-Moose-
99 - 2025-01-10667Reign-Moose-
100 - 2025-01-11678Eagles-Moose-
103 - 2025-01-14702Comets-Moose-
105 - 2025-01-16716Firebirds-Moose-
107 - 2025-01-18730Wranglers-Moose-
109 - 2025-01-20747Moose-Roadrunners-
111 - 2025-01-22759Moose-Eagles-
113 - 2025-01-24775Roadrunners-Moose-
115 - 2025-01-26791Wranglers-Moose-
117 - 2025-01-28800Moose-Rocket-
119 - 2025-01-30812Moose-Bruins-
121 - 2025-02-01831Moose-Bears-
124 - 2025-02-04852Wolves-Moose-
127 - 2025-02-07872Sound Tigers-Moose-
142 - 2025-02-22903Moose-Thunderbirds-
144 - 2025-02-24916Barracuda-Moose-
146 - 2025-02-26930Moose-Senators-
147 - 2025-02-27941Moose-Admirals-
149 - 2025-03-01956Phantoms-Moose-
152 - 2025-03-04978Moose-Sound Tigers-
154 - 2025-03-06991Moose-Phantoms-
155 - 2025-03-07997Moose-Devils-
157 - 2025-03-091016Moose-Wolves-
159 - 2025-03-111031Wolf Pack-Moose-
162 - 2025-03-141051Stars-Moose-
164 - 2025-03-161072Moose-Firebirds-
166 - 2025-03-181086Moose-Comets-
168 - 2025-03-201099Moose-Condors-
171 - 2025-03-231119Americans-Moose-
173 - 2025-03-251135Bears-Moose-
176 - 2025-03-281156Devils-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
178 - 2025-03-301172Comets-Moose-
180 - 2025-04-011191Moose-Reign-
182 - 2025-04-031204Moose-Silver Knights-
184 - 2025-04-051219Moose-Roadrunners-
186 - 2025-04-071231Thunderbirds-Moose-
189 - 2025-04-101255Moose-Stars-
191 - 2025-04-121271Moose-IceHogs-
192 - 2025-04-131282Condors-Moose-
195 - 2025-04-161302Gulls-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance19,7959,769
Assistance PCT98.98%97.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2956 - 98.55% 80,176$801,763$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
802,657$ 1,775,300$ 1,775,300$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 505,213$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 138 14,160$ 1,954,080$




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
1Andrew Agozzino54618929047970344953992154012.27%181876416.05488413220730321391349.93%31.091035
2Andrew Gordon61018523141670162888746177610.42%198939115.4044691131722137241340.27%20.89624
3Zach Hamill514161241402551078731043152510.56%227904917.612553781135271328851.06%00.89925
4Matt Fraser31416119235343201498469142611.29%145627920.0047601071683148311349.25%11.121036
5Zac Rinaldo7531322083401021177213287413879.52%1731145615.2117385512102214221545.92%00.5936

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
1Petr Mrazek31019975280.9172.681818127781297813832840.667105
2Michael Leighton1339326140.9212.57798710434243282174930.73256
3Aaron Dell188838580.9053.041029010752154695580.74555
4Sam Montembeault1558055100.9063.57871012451855140340.65020
5Keith Kinkaid83601840.9182.05497510617020680200.80020

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
580313702235205208-34011220122298124-26402015010131078423792053445491100449264225906218747482194881102318541944422.68%1963980.10%7716139851.22%725146649.45%585114451.14%150266317849921828920
580343503224279275440151702114149144540191801110130131-184279464743140831048728150899988913253692578122032075526.57%1825072.53%7848162552.18%728143850.63%660131950.04%161678417559481731872
680461802662292224684026602321152104484020120034114012020116292476768040691131022699076410149032172725101022892236026.91%2464780.89%9921171853.61%823159051.76%677127253.22%1642812355519561718845
6803532054222632323140201305200139974240151900222124135-11902634276900110571009923580702801836229679755721912032914.29%1623479.01%4801155051.68%735152248.29%543117146.37%1569742353819051736875
77641210223729523461382110010151501123838201101222145122231012954967910207811696279309489898382448800128520582205223.64%2535279.45%8909173952.27%808159750.59%686131152.33%160883914727451533763
776392606410263204593818130430011610412382113021101471004796263430693150601128425660780951814228374252520092014723.38%1543179.87%9861157054.84%865160653.86%620118252.45%156479714307461583805
87643210324330122378382480113115110051381913021121501232710530150580614072125972931010071028878258982699522172054220.49%2214380.54%4970191350.71%898181649.45%573115549.61%161987715127451474718
9804317074453202477340238042121591154440209032331611322911732051383301088129923175010741078986275189089322662023617.82%1562087.18%41122205754.55%930181451.27%581122047.62%172494816017731544765
1080382207445289231584022110222114310835401611052241461232310728948377232072125813252011641170881266796882023382064722.82%1283076.56%41050207650.58%867176449.15%621119751.88%174895615387631571788
11804417073632912108140181004242143116274026703121148945412029148777823076110923238011081126972259585468723302255926.22%1343276.12%31023205449.81%903176751.10%614122949.96%173895215467821576777
1276461900542299237623824110030014311330382280024215612432107299504803010741171043303011681182946265089187720452276428.19%1253175.20%11031200851.34%862170850.47%626123450.73%168694914617101449722
138032300248426225394016150222313813174016150026112412229226242869000064100883073010071093954282694066321932145827.10%2586176.36%111059200752.77%1004196751.04%617121950.62%170691116027861557768
1480442503044323244794023130102116311746402112020231601273310632354086331081129106329201123114710032854916107423342277332.16%2616674.71%4990203548.65%1018201850.45%627126349.64%174996515777721522747
158039250163627824830402510002121531203340141501424125128-39827845873651065115943264010751178991289893966021792174721.66%2244878.57%31039207850.00%1020205349.68%635121152.44%174296916007661517748
167652110214628915713238246011331367660382850101315381721232895268150501121026926200889839866183459142115542686323.51%1812983.98%11440265154.32%1209218555.33%650115756.18%203914551590535987516
178050905187298160138402740104414479654023504143154817313429852181901201011048028870966939948218560556317292506124.40%2333784.12%31613293854.90%1481265055.89%692125055.36%2097148917575781030530
187651180222127315811538286010211427072382312012001318843113273501774060110798027240967832915187857146214592434920.16%2073384.06%31580272557.98%1240227054.63%660116756.56%201814471603529959497
1982323601364206214-84119170013111210484113190123394110-168520636757335076725120910662715693241170637414752165324.54%1602783.13%11058232545.51%1197274243.65%591130245.39%1881127419946111096544
2082293904244241292-5141151701233124129-541142203011117163-468024143267320083816926180847884855276376275319582736021.98%3095881.23%41476282252.30%1350282947.72%682132651.43%1937132619796111055518
218276603600242458-2164113402400125237-1124163201200117221-104262424597012009082673063099810549954171125260720972133415.96%2728269.85%11136294838.53%1352349938.64%547144837.78%152710352421612984433
2282353402524297300-3412311003221621303241122302202135170-3587297525822230118938233130106311101092340794656120602335322.75%2434780.66%51530314748.62%1559338746.03%668139747.82%1841128521015971021492
2382313305652284293-941161501342146142441151804310138151-139028448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
202282462707200341283584122150310018314934412412041001581342410834161695722142102907319610211034112516279784251518512455823.67%1874774.87%11707309755.12%1555287854.03%794143655.29%2023143618755691033521
202382274403431297322-2541181801130165146194192602301132176-44712975418386112180907278293291291238298493464519262576324.51%2586076.74%11483289851.17%1534306350.08%718141950.60%1905131319965981046512
202424914010008290-81028000002641-151476010005649720821472291028282517202262372534843268179581731723.29%811779.01%438578349.17%42787548.80%21541152.31%547368581180312155
Total Saison régulière19349246760858088816810599781396548131804041454034622908554969443358045394341334830892592355681011675184853885379198924851813698873100229432425019146642242047817494493065478127723.31%5095107378.94%103282205508951.23%266495374749.58%155773080350.57%429542593345906194053291116354
Séries éliminatoires
6624000002226-4312000001113-2312000001113-24223658000859224070678525185521756116.67%18383.33%17515648.08%8317148.54%6111353.98%125673684201411355
71046000004449-5523000002025-5523000002424084469113000121516418014014712135913118227920945.00%391269.23%114026153.64%11323348.50%9420146.77%2151212129919089
7624000001919031200000981312000001011-14192948000478194054657522784181575240.00%10370.00%17412957.36%5612744.09%508360.24%116601245511859
8624000001420-632100000111103030000039-641424380004362420876288215808116415320.00%25388.00%08716951.48%7516346.01%469548.42%130721265811055
9734000002831-3413000001219-7321000001612462848760001378293010510385301841011641218.33%12650.00%19217353.18%8418545.41%5913145.04%147861496312360
10117400000363065410000019127633000001718-1143662980007181146101382081154451256127513430.77%17570.59%013030043.33%16228856.25%8617848.31%22212423610220198
1123167000008364191293000004532131174000003832632831402231001925369260327312276960321230588661928.79%451077.78%126158144.92%31663749.61%16835048.00%479265502214415209
12126600000423576420000024159624000001820-212426911100014189557019419714147116216531141921.95%25772.00%019037151.21%15331049.35%9419149.21%284167242111225116
1322166000008374911101000004533121165000003841-332831452280002727258150257279240937326259593561526.79%811581.48%324451147.75%30060349.75%17035747.62%453237494219425211
1411650000041374633000002120153200000201731241701111001013174640185142133463131116302311238.71%39879.49%112729343.34%15330350.50%8017246.51%24213722510219998
15624000002023-330300000814-6321000001293420345400037928008110881194581818915213.33%9366.67%09118250.00%5512045.83%459945.45%139801155511556
1610640000026188541000001257523000001413112264975030166331109210589228696621431722.58%31487.10%018533155.89%17529359.73%8115253.29%2651862327713870
17945000003427753200000231211413000001115-483464980106171031609310288334989922835720.00%39976.92%115934046.76%19837852.38%8215752.23%2381632447412865
182414100000059518137600000292721174000003024628591071660602119197100219223267680194164434681014.71%72987.50%245680956.37%43477356.14%18733755.49%579403566172300150
2022147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
Total Séries éliminatoires17797800000060155447915536000003182714786424400000283283019460110291630211171762061886718152218323061912660921111711438645110823.95%50110778.64%122564511950.09%2659516451.49%1418285449.68%398924187520353029961489

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
1Matt Fraser66443680184210410331014.19%37131619.951611274101137554.11%01.2200
2Andrew Gordon9626548019231571293357.76%44165417.23417212700054134.65%10.9700
3Zach Hamill842346696261161622369.75%37149817.84310131500011247.63%00.9200
4Andrew Agozzino9419436215631561572148.88%44144315.35315181700043048.76%00.8600
5Benn Ferriero8532286002714410629011.03%28149817.6362812000110143.41%00.8000

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
1Petr Mrazek57332040.9212.863403431622044962010.0000
2Michael Leighton3423920.9342.71205720931404717010.0000
3Keith Kinkaid27141020.9262.14153906557400100.0000
4Sam Montembeault147430.9123.1384301445010100.0000
5Martin Jones84210.9082.8945701222400000.0000