Moose
GP: 82 | W: 37 | L: 41 | OTL: 4 | P: 78
GF: 293 | GA: 300 | PP%: 24.90% | PK%: 75.25%
DG: Sam Vienneau | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Moose
37-41-4, 78pts
0
FINAL
2 Roadrunners
49-26-7, 105pts
Team Stats
L2StreakW2
20-17-4Home Record31-9-1
17-24-0Away Record18-17-6
3-7-0Last 10 Games7-3-0
3.57Buts par match 3.94
3.66Buts contre par match 3.01
24.90%Pourcentage en avantage numérique20.73%
75.25%Pourcentage en désavantage numérique78.63%
Barracuda
50-26-6, 106pts
6
FINAL
1 Moose
37-41-4, 78pts
Team Stats
W3StreakL2
27-11-3Home Record20-17-4
23-15-3Away Record17-24-0
7-3-0Last 10 Games3-7-0
4.34Buts par match 3.57
3.28Buts contre par match 3.66
23.64%Pourcentage en avantage numérique24.90%
82.86%Pourcentage en désavantage numérique75.25%
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
37
Aaron DellPourcentage d’arrêts
Aaron Dell
0.905

Statistiques d’équipe
Buts pour
293
3.57 GFG
Tirs pour
3098
37.78 Avg
Pourcentage en avantage numérique
24.9%
62 GF
Début de zone offensive
40.2%
Buts contre
300
3.66 GAA
Tirs contre
3129
38.16 Avg
Pourcentage en désavantage numérique
75.2%
50 GA
Début de la zone défensive
41.0%
Information d’équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,982
Billets de saison300


Information formation

Équipe Pro17
Équipe Mineure20
Limite contact 37 / 80
Espoirs28


Historique d'équipe

Saison actuelle37-41-4 (78PTS)
Historique67-88-11 (0.404%)
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$
6T.J. Tynan0XXX100.00603869646073856273665759637375075620332999,999$
7Hayden Hodgson0X100.00786550598573775753585659576971075610292975,000$
8Zayde Wisdom (R)0X100.00623981597173825855575654586365075600231950,000$
9William Wallinder (R)0X100.00763994598565845830575263456365075610232950,000$
10Guillaume Brisebois (R)0X100.00653790587581705730565562496870075600283950,000$
11Tyson Hinds (R)0X100.00724081578167875630555358466264075600222950,000$
12Reilly Walsh (R)0X100.00623887607170845730615556476668075600262975,000$
Rayé
1Lukas Rousek (R)0XX100.00583786667274866470655661596768075630263999,999$
2Nikita Grebenkin (R)0X100.00724175648275706357605856616364075620223950,000$
3Ryan Jones (R)0X61.52694083557866685230545053456971075580293950,000$
MOYENNE D’ÉQUIPE97.4369428061777680605260576057666807562
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
1Filip BystedtMoose (WPG)C8234671010200109293365942499.32%34174521.2932124501690003418254.82%241900031.1600000513
2Lukas RousekMoose (WPG)LW/RW75405090-121408818339811828110.05%34165422.07111728762100001474354.30%18600021.0900000381
3Kole LindMoose (WPG)RW7843448703201841873388323212.72%33156120.0212618651620000383155.84%15400101.1100000652
4William WallinderMoose (WPG)D82205676149210253127203711219.85%177199724.3611122310019200011353148.89%4500000.7600200055
5Guillaume BriseboisMoose (WPG)D82164359-28320102124199651358.04%121187522.88915248420800021491035.71%5600000.6300000125
6T.J. TynanMoose (WPG)C/LW/RW77174259-918070166237641807.17%24150819.5927920800000102150.33%45300000.7800000220
7Patrick BrownMoose (WPG)C/RW362030507275112157220611399.09%2587524.33561131940003905158.62%117200001.1400001516
8Hayden HodgsonMoose (WPG)RW82242448-274202831232115514511.37%52142317.3500000000002147.22%7200020.6700022312
9Zayde WisdomMoose (WPG)C8273542-42001021028930487.87%86162019.7600001000000047.81%32000000.5200000112
10Nikita GrebenkinMoose (WPG)RW63142741-32609799164451308.54%15104016.51022170000162146.73%19900100.7900000106
11Antonio StrangesMoose (WPG)C5817234032011174197691488.63%1495016.392134100000152052.42%109700100.8400000310
12Tyson HindsMoose (WPG)D5361420-19400130446626449.09%77108620.50268231230000950033.33%300000.3700000001
13Andrew PoturalskiJetsC/LW/RW16101020-620114681246412.35%1641225.7922417450004401046.94%4900100.9700000303
14Reilly WalshMoose (WPG)D3451116916041365218279.62%6181023.8513426860000572133.33%600000.3900000100
15Ryan JonesMoose (WPG)D4446106280882725131216.00%4066215.07011210000029000.00%000000.3000000022
16Max JonesMoose (WPG)LW5224440101225298.00%19018.15000514000051050.00%400000.8800000100
Statistiques d’équipe totales ou en moyenne949279484763-404473516911900287083819649.72%8101931720.366099159504142000014774361253.78%623500470.7900223352938
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)82374030.9053.5946596127929510440.0000820482
2Michael HouserMoose (WPG)80110.9023.7527200171740000.0000082000
Statistiques d’équipe totales ou en moyenne90374140.9053.6049316129631250440.00008282482


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$838,800$0$0$NoLien / Lien NHL
Antonio StrangesMoose (WPG)C232002-02-05Yes168 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Filip BystedtMoose (WPG)C212004-02-04Yes187 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Guillaume BriseboisMoose (WPG)D281997-07-21Yes175 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Hayden HodgsonMoose (WPG)RW291996-03-02No221 Lbs6 ft2NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Lien / Lien NHL
Kole LindMoose (WPG)RW261998-10-16Yes193 Lbs6 ft1NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Lukas RousekMoose (WPG)LW/RW261999-04-20Yes171 Lbs5 ft11NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Max JonesMoose (WPG)LW271998-02-17Yes216 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLien / Lien NHL
Michael HouserMoose (WPG)G331992-09-13No185 Lbs6 ft1NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Lien / Lien NHL
Nikita GrebenkinMoose (WPG)RW222003-05-02Yes210 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Patrick BrownMoose (WPG)C/RW331992-05-29No218 Lbs6 ft1NoNoNo1Pro & Farm975,000$975,000$0$0$NoLien / Lien NHL
Reilly WalshMoose (WPG)D261999-04-21Yes185 Lbs6 ft0NoNoNo2Pro & Farm975,000$975,000$0$0$No975,000$Lien / Lien NHL
Ryan Jones (sur la masse salariale)Moose (WPG)D291996-05-26Yes186 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$Yes950,000$950,000$Lien / Lien NHL
T.J. Tynan (contrat à 1 volet)Moose (WPG)C/LW/RW331992-02-25No160 Lbs5 ft8NoNoNo2Pro & Farm999,999$999,999$999,999$0$No999,999$Lien / Lien NHL
Tyson HindsMoose (WPG)D222003-03-12Yes188 Lbs6 ft3NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
William WallinderMoose (WPG)D232002-07-28Yes191 Lbs6 ft4NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Zayde WisdomMoose (WPG)C232002-07-07Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$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
140122
2T.J. TynanFilip BystedtKole Lind30122
3Hayden HodgsonAntonio Stranges20122
4Zayde WisdomHayden Hodgson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder40122
2Tyson HindsGuillaume Brisebois30122
3Zayde Wisdom20122
4William Wallinder10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2T.J. TynanFilip BystedtKole Lind40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Tyson HindsGuillaume Brisebois40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Kole Lind40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Tyson HindsGuillaume Brisebois40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122William Wallinder60122
240122Tyson HindsGuillaume Brisebois40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Kole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William Wallinder60122
2Tyson HindsGuillaume Brisebois40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Antonio Stranges, , Filip BystedtAntonio Stranges, Filip Bystedt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Tyson Hinds, Guillaume BriseboisTyson Hinds, Guillaume Brisebois
Tirs de pénalité
, , , Kole Lind, Filip Bystedt
Gardien
#1 : Aaron Dell, #2 : Michael Houser
Lignes d’attaque personnalisées en prolongation
, , , Kole Lind, Filip Bystedt, Antonio Stranges, Antonio Stranges, T.J. Tynan, , Hayden Hodgson, Zayde Wisdom
Lignes de défense personnalisées en prolongation
William Wallinder, , Tyson Hinds, 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
1Admirals3110100013103210010008441010000056-140.667132336001129383510510411028101415101348718337.50%3233.33%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
2Americans2020000059-41010000025-31010000034-100.0005101500112938354510411028101415751810514125.00%5260.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
3Barracuda31200000612-61010000016-52110000056-120.33361016001129383588104110281014151413337559111.11%9544.44%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
4Bears220000001046110000007251100000032141.00010152500112938355010411028101415832183622100.00%40100.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
5Bruins21100000963110000006241010000034-120.500918270011293835931041102810141561130448112.50%000.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
6Checkers220000001578110000008441100000073441.000152641001129383512210411028101415771515544375.00%5260.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
7Comets30201000811-31010000024-22010100067-120.333813211011293835114104110281014151463122797457.14%11190.91%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
8Condors31200000712-52110000056-11010000026-420.33371118001129383590104110281014151203320466116.67%9277.78%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
9Crunch21001000853110000005321000100032141.0008132100112938355910411028101415772922447342.86%10190.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
10Devils2010010058-31000010034-11010000024-210.25051015001129383565104110281014157827143411100.00%7271.43%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
11Eagles41300000813-52020000026-42110000067-120.2508162400112938351401041102810141515143239617317.65%7271.43%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
12Firebirds3300000015692200000011381100000043161.00015254000112938351131041102810141580261456700.00%60100.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
13Griffins220000001358110000007341100000062441.000132336001129383512810411028101415821921516350.00%30100.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
14Gulls33000000161061100000032122000000138561.00016314700112938351371041102810141510030165810440.00%8275.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
15IceHogs40300100822-1420100100510-520200000312-910.1258142200112938351391041102810141516543298610220.00%12650.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
16Marlies211000009631010000034-11100000062420.5009152400112938359910411028101415632410476233.33%5260.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
17Monsters20100100610-41000010034-11010000036-310.2506121800112938356410411028101415892212456116.67%5180.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
18Penguins2020000069-31010000024-21010000045-100.00061117001129383562104110281014151022618437228.57%9366.67%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
19Phantoms211000005501010000002-21100000053220.500591400112938356910411028101415752616484125.00%7185.71%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
20Reign31101000131122100100011831010000023-140.6671324370011293835102104110281014151283420838112.50%10370.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
21Roadrunners30300000612-61010000056-12020000016-500.000612180011293835921041102810141513340236110220.00%8187.50%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
22Rocket21100000911-2110000007431010000027-520.5009162500112938351011041102810141566296517114.29%3233.33%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
23Senators2020000036-31010000013-21010000023-100.0003690011293835811041102810141560186484125.00%3166.67%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
24Silver Knights320001002015521000100131031100000075250.8332037570011293835176104110281014151282918811119.09%8362.50%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
25Sound Tigers2020000049-51010000024-21010000025-300.000471100112938357810411028101415843114507114.29%6183.33%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
26Stars403010001319-62010100078-120200000611-520.250132336101129383512210411028101415134341210110330.00%6183.33%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
27Thunderbirds431000001569220000009182110000065160.75015294411112938351911041102810141512635179021314.29%60100.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
28Wild42200000161602110000089-12110000087140.50016294500112938351501041102810141515345237521523.81%9188.89%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
29Wolf Pack20200000510-51010000035-21010000025-300.000581310112938357010411028101415762714434125.00%7185.71%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
30Wolves22000000743110000004221100000032141.0007132000112938354910411028101415952512565360.00%50100.00%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
31Wranglers312000001011-11010000023-12110000088020.3331018280011293835104104110281014158023176112216.67%6266.67%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
Total82324105400293300-7411717034001551411441152402000138159-21780.4762935278204111293835309810411028101415312988349718442496224.90%2025075.25%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
_Since Last GM Reset82324105400293300-7411717034001551411441152402000138159-21780.4762935278204111293835309810411028101415312988349718442496224.90%2025075.25%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
_Vs Conference50192504200174186-122510100320092866259150100082100-18480.4801743154893111293835186310411028101415188651329910991673520.96%1183173.73%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
_Vs Division26716021007998-191346021004444013310000003554-19190.36579146225211129383593910411028101415963274135580972121.65%511374.51%01542300351.35%1510306249.31%726140551.67%1965139119445781027515

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8278L229352782030983129883497184441
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8232415400293300
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117173400155141
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115242000138159
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2496224.90%2025075.25%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
1041102810141511293835
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
1542300351.35%1510306249.31%726140551.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1965139119445781027515


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 - 2025-12-09473Stars5Moose3BLSommaire du match
66 - 2025-12-11489Bruins2Moose6BWSommaire du match
68 - 2025-12-13503Bears2Moose7BWSommaire du match
70 - 2025-12-15516Senators3Moose1BLSommaire du match
72 - 2025-12-17531Moose4Thunderbirds1AWSommaire du match
74 - 2025-12-19546Moose3Eagles5ALSommaire du match
76 - 2025-12-21569Moose1Roadrunners4ALSommaire du match
82 - 2025-12-27594Wild5Moose3BLSommaire du match
84 - 2025-12-29609Condors5Moose1BLSommaire du match
86 - 2025-12-31626Moose6Griffins2AWSommaire du match
87 - 2026-01-01634Moose6Marlies2AWSommaire du match
89 - 2026-01-03650Moose2Senators3ALSommaire du match
92 - 2026-01-06673Silver Knights3Moose7BWSommaire du match
94 - 2026-01-08690Condors1Moose4BWSommaire du match
95 - 2026-01-09695Reign3Moose5BWSommaire du match
97 - 2026-01-11711Devils4Moose3BLXSommaire du match
99 - 2026-01-13732Sound Tigers4Moose2BLSommaire du match
101 - 2026-01-15744Moose3Wild4ALSommaire du match
103 - 2026-01-17762Marlies4Moose3BLSommaire du match
105 - 2026-01-19776Moose2IceHogs8ALSommaire du match
106 - 2026-01-20785Thunderbirds1Moose6BWSommaire du match
108 - 2026-01-22799Checkers4Moose8BWSommaire du match
110 - 2026-01-24815Griffins3Moose7BWSommaire du match
113 - 2026-01-27835Moose2Devils4ALSommaire du match
115 - 2026-01-29846Moose3Crunch2AWXSommaire du match
117 - 2026-01-31862Moose7Checkers3AWSommaire du match
119 - 2026-02-02882Moose2Stars4ALSommaire du match
121 - 2026-02-04895Rocket4Moose7BWSommaire du match
142 - 2026-02-25915Moose4Comets3AWXSommaire du match
144 - 2026-02-27933Moose7Gulls4AWSommaire du match
146 - 2026-03-01949Moose1Barracuda4ALSommaire du match
148 - 2026-03-03964IceHogs5Moose4BLXSommaire du match
150 - 2026-03-05980Crunch3Moose5BWSommaire du match
152 - 2026-03-07996Comets4Moose2BLSommaire du match
155 - 2026-03-101022Gulls2Moose3BWSommaire du match
157 - 2026-03-121036Wolf Pack5Moose3BLSommaire du match
159 - 2026-03-141045Eagles4Moose1BLSommaire du match
160 - 2026-03-151057Thunderbirds0Moose3BWSommaire du match
162 - 2026-03-171072Admirals2Moose5BWSommaire du match
164 - 2026-03-191083Moose3Bruins4ALSommaire du match
166 - 2026-03-211099Moose4Penguins5ALSommaire du match
167 - 2026-03-221110Moose2Wolf Pack5ALSommaire du match
169 - 2026-03-241131Silver Knights7Moose6BLXSommaire du match
171 - 2026-03-261145Eagles2Moose1BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2026-03-281162Moose3Eagles2AWSommaire du match
176 - 2026-03-311186Moose1IceHogs4ALSommaire du match
178 - 2026-04-021198Moose4Stars7ALSommaire du match
180 - 2026-04-041215Moose3Monsters6ALSommaire du match
182 - 2026-04-061230Firebirds1Moose6BWSommaire du match
185 - 2026-04-091253Moose2Thunderbirds4ALSommaire du match
187 - 2026-04-111272Phantoms2Moose0BLSommaire du match
189 - 2026-04-131291Moose7Silver Knights5AWSommaire du match
190 - 2026-04-141297Moose0Roadrunners2ALSommaire du match
192 - 2026-04-161308Barracuda6Moose1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,41440,858
Assistance PCT99.29%99.65%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-31 2982 - 99.41% 80,738$3,310,274$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,564,021$ 1,433,880$ 1,433,880$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,556,578$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
-2,502,890$ 0 12,676$ 0$




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
1William Wallinder1592482106201403981832748.76%262338821.3111223312801124148.89%00.6300
2Filip Bystedt8234671010201092933659.32%34174521.29321245000038254.82%31.1600
3Max Jones8643529587524720635812.01%40203323.65912215503396245.73%00.9324
4Hayden Hodgson164425395-1915353023341610.10%64283917.313581700003246.58%20.6700
5Lukas Rousek75405090-12148818339810.05%34165422.071117287600014354.30%21.0900

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 Dell164678280.8993.7990058156956120870.68419
2Michael Houser230610.9172.9687300435210000.0000

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
202582324105400293300-7411717034001551411441152402000138159-21782935278204111293835309810411028101415312988349718442496224.90%2025075.25%01542300351.35%1510306249.31%726140551.67%1965139119445781027515
Total Saison régulière164568809722565621-5682303906502281290-982264903220284331-47143565101015757120519215715567118761890186955614017641137388349811222.49%48011675.83%72876576249.91%2958617547.90%1409279650.39%380326243987119621001043

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