Veuillez faire pivoter votre appareil en mode paysage pour une meilleure expérience.
Connexion

Moose
GP: 12 | W: 6 | L: 5 | OTL: 1 | P: 13
GF: 35 | GA: 36 | PP%: 20.00% | PK%: 84.00%
DG: Jean-Philip Minville | Morale : 70 | Moyenne d’équipe : 66
Prochains matchs #202 vs Americans

Centre de jeu
Wild
7-4-2, 16pts
6
3 Moose
6-5-1, 13pts
Team Stats
OTL1SéquenceW1
4-0-2Fiche domicile2-3-1
3-4-0Fiche domicile4-2-0
5-3-2Derniers 10 matchs4-5-1
2.77Buts par match 2.92
2.62Buts contre par match 3.00
16.67%Pourcentage en avantage numérique20.00%
84.62%Pourcentage en désavantage numérique84.00%
Moose
6-5-1, 13pts
6
1 IceHogs
6-6-0, 12pts
Team Stats
W1SéquenceL2
2-3-1Fiche domicile4-2-0
4-2-0Fiche domicile2-4-0
4-5-1Derniers 10 matchs5-5-0
2.92Buts par match 2.75
3.00Buts contre par match 3.33
20.00%Pourcentage en avantage numérique15.38%
84.00%Pourcentage en désavantage numérique78.95%
Moose
6-5-1, 13pts
Jour 29
Americans
1-9-2, 4pts
Statistiques d’équipe
W1SéquenceL2
2-3-1Fiche domicile0-5-1
4-2-0Fiche visiteur1-4-1
4-5-110 derniers matchs0-8-2
2.92Buts par match 2.33
3.00Buts contre par match 2.33
20.00%Pourcentage en avantage numérique17.39%
84.00%Pourcentage en désavantage numérique80.36%
IceHogs
6-6-0, 12pts
Jour 31
Moose
6-5-1, 13pts
Statistiques d’équipe
L2SéquenceW1
4-2-0Fiche domicile2-3-1
2-4-0Fiche visiteur4-2-0
5-5-010 derniers matchs4-5-1
2.75Buts par match 2.92
3.33Buts contre par match 2.92
15.38%Pourcentage en avantage numérique20.00%
78.95%Pourcentage en désavantage numérique84.00%
Moose
6-5-1, 13pts
Jour 33
Canucks
4-4-3, 11pts
Statistiques d’équipe
W1SéquenceW1
2-3-1Fiche domicile2-2-2
4-2-0Fiche visiteur2-2-1
4-5-110 derniers matchs4-3-3
2.92Buts par match 2.91
3.00Buts contre par match 2.91
20.00%Pourcentage en avantage numérique16.36%
84.00%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Buts
Dylan Gambrell
5
Passes
Dylan Gambrell
7
Points
Dylan Gambrell
12
Plus/Moins
Carson Soucy
3
Victoires
Matt Villalta
5
Pourcentage d’arrêts
Matt Villalta
0.896

Statistiques d’équipe
Buts pour
35
2.92 GFG
Tirs pour
281
23.42 Avg
Pourcentage en avantage numérique
20.0%
9 GF
Début de zone offensive
39.7%
Buts contre
36
3.00 GAA
Tirs contre
315
26.25 Avg
Pourcentage en désavantage numérique
84.0%%
8 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralJean-Philip Minville
EntraîneurGuy Boucher
DivisionCentral
ConférenceConference Ouest
CapitaineJimmy Snuggerud
Assistant #1Kevin Korchinski
Assistant #2Maveric Lamoureux


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure19
Limite Contrat53 / 99
Espoirs60


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
1Eric Robinson0XX100.00682499647773876557676681708281627069N03132,715,075$
2Nathan Bastian0XX100.00999368637985846161676381637874587069N02842,715,075$
3Joel Farabee0XX100.0049289773707292715868707176747872706902632,187,000$
4Jimmy Snuggerud (R) (C)0X100.005632767063858870467370667464657770680223900,000$
5Oskar Back0XX100.0061389568888087637961608262666758706802621,276,000$
6Dylan Gambrell0X100.0064599862766567768374757563606051706803032,052,000$
7Malte Stromwall0X100.0078728066736772684872686668848252706703211,775,000$
8Aatu Raty0X100.0080468968756874688170756265636359706702341,855,000$
9Arshdeep Bains0XX100.0075698467727584664870666466676556706602543,199,999$
10Owen Beck0X100.008849957775759165656259646063647470660222900,000$
11Jonathan Gruden0XXX100.0071589970717382596062616962676756706502643,199,999$
12Crowbarre Moniere (R)0XX100.00888272717470706030636363615050907062N0203900,000$
13Maveric Lamoureux (A)0X100.008171466988877266256661725462637770690222900,000$
14Carson Soucy0X100.0077418667767074563059607956928833706903213,055,000$
15Uvis Balinskis0X100.0083518567757874642564647259646460706803033,099,999$
16Kevin Korchinski (A)0X100.005737947370918768257063695562648570680222900,000$
17Elias Salomonsson (R)0X100.006232776966798360456655755464677370670223900,000$
18Noah Warren (R)0X100.006843796470727755456352714962667270640223900,000$
Rayé
1Matt Rempe0XXX100.009999426491628563676162626263586770640241900,000$
2Will Bitten0XX100.0062549967728992557556546659737556706402823,195,075$
3Liam OBrien0XXX100.0078565260785389636662676361808015706403221,287,000$
4Shawn Element0XX100.0094695964746683637257586455696466706302621,192,000$
5Shane Bowers0XX100.0081748769748371556251566458747671706202721,135,000$
6Kyle Betts0X100.0075669970736078637152506852737264706203032,699,999$
7Chase Stillman0X100.008370636973627057495361615960566670600231615,000$
8Connor Corcoran0X100.0070678565777463593061646459717350706402633,195,075$
9Brogan Rafferty0X100.0070649965766877602561486746676549706403123,195,075$
10Cade Webber0X100.0083838266866775482550506851646463706402531,363,000$
11Colton Poolman0X100.007636936475588550305452634570704170630302905,000$
12William Villeneuve0X100.0073707369736684522561526356646264706302431,293,000$
13T.J. Schweighardt0X100.005630736358626462457255675458586970610251835,000$
MOYENNE D’ÉQUIPE100.00745781677572796250636168596868617065
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
1Matt Villalta0100.008077787477838584837170717757707802713,215,000$
2Niklas Kokko0100.00716372777381787981787561677570730222900,000$
Rayé
1Samuel Richard0100.007168687071696968716866586278706702511,225,000$
MOYENNE D’ÉQUIPE100.0074697374747877777872706369707073
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Guy Boucher89818268999951CAN532500,000$


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
1Dylan GambrellMoose (WIN)C1257121607172962517.24%217814.90101390111330053.74%21400011.3400000100
2Jimmy SnuggerudMoose (WIN)RW1246100201492781814.81%117514.62022336000000160.00%1000001.1422000002
3Elias SalomonssonMoose (WIN)D123691100207101830.00%1925120.96224838000036000%000000.7200000002
4Eric RobinsonMoose (WIN)LW/RW12437-160101926111415.38%117614.67000011012342061.54%1300000.8012000100
5Maveric LamoureuxMoose (WIN)D12077-7220509209100%1126722.280331337000030000%000000.5200000000
6Joel FarabeeMoose (WIN)LW/RW123471001122352213.04%017914.99213736000080058.82%1700000.7802000100
7Malte StromwallMoose (WIN)RW12246-2401481761811.76%018315.29123443000000114.29%700000.6500000100
8Carson SoucyMoose (WIN)D1206638020118450%1321618.0700010000038000%000000.5500000010
9Uvis BalinskisMoose (WIN)D12235-5401591151218.18%825120.98213839000036110%000000.4000000001
10Aatu RatyMoose (WIN)C12235-26019221992010.53%217314.46022033000000052.41%18700000.5800000000
11Noah WarrenMoose (WIN)D1213424010460216.67%621117.5800017000020100%000000.3800000110
12Owen BeckMoose (WIN)C12224-2001014104920.00%017814.83123340000000144.19%21500000.4500000000
13Kevin KorchinskiMoose (WIN)D120441209144560%525120.9702224000006000%000000.3200000000
14Nathan BastianMoose (WIN)C/RW12123-180307146157.14%717814.88000000002380033.33%1500000.3400000000
15Crowbarre MoniereMoose (WIN)LW/RW121120100298102810.00%114812.3700000000040042.86%700000.2700000001
16Jonathan GrudenMoose (WIN)C/LW/RW1211220021713157.69%214812.3900000000020057.14%1400000.2700000000
17Oskar BackMoose (WIN)C/LW12202000025214169.52%418715.66000000002451155.40%21300000.2100000020
18Arshdeep BainsMoose (WIN)LW/RW12101-480128134147.69%318415.34000544000000020.00%500000.1100000000
Statistiques d’équipe totales ou en moyenne216346296-1310002722202819022712.10%85354216.40917265841111273365551.04%91700010.5436000546
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
1Matt VillaltaMoose (WIN)95400.8962.6654220242310000.667393010
2Niklas KokkoMoose (WIN)31110.8693.591840011840000.333339000
Statistiques d’équipe totales ou en moyenne126510.8892.89726203531500061212010


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aatu RatyMoose (WIN)C232002-11-14FINNo193 Lbs6 ft2NoNoFree AgentNoNo42026-06-20FalseFalsePro & Farm1,855,000$0$0$No1,855,000$1,855,000$1,855,000$------1,855,000$1,855,000$1,855,000$------NoNoNo------
Arshdeep BainsMoose (WIN)LW/RW252001-05-27CANNo189 Lbs6 ft0NoNoFree Agent2024-08-01NoNo42025-08-22FalseFalsePro & Farm3,199,999$0$0$No3,199,999$3,199,999$3,199,999$------3,199,999$3,199,999$3,199,999$------NoNoNo------
Brogan RaffertyMoose (WIN)D311995-05-28USANo204 Lbs6 ft2NoNoFree AgentNoNo22024-07-15FalseFalsePro & Farm3,195,075$0$0$No3,195,075$--------3,195,075$--------No--------
Cade WebberMoose (WIN)D252001-01-05USANo213 Lbs6 ft7NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,363,000$0$0$No1,363,000$1,363,000$-------1,363,000$1,363,000$-------NoNo-------
Carson SoucyMoose (WIN)D321994-07-24CANNo202 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm3,055,000$0$0$No---------------------------
Chase StillmanMoose (WIN)RW232003-03-19USANo188 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm615,000$0$0$No---------------------------
Colton PoolmanMoose (WIN)D301995-12-18USANo200 Lbs6 ft1NoNoFree AgentNoNo22024-07-19FalseFalsePro & Farm905,000$0$0$No905,000$--------905,000$--------No--------
Connor CorcoranMoose (WIN)D262000-08-07CANNo202 Lbs6 ft2NoNoFree AgentNoNo32024-07-15FalseFalsePro & Farm3,195,075$0$0$No3,195,075$3,195,075$-------3,195,075$3,195,075$-------NoNo-------
Crowbarre MoniereMoose (WIN)LW/RW202006-09-12CANYes240 Lbs6 ft6YesNoFree AgentNoNo32026-09-13FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------YesYes-------
Dylan GambrellMoose (WIN)C301996-08-26USANo206 Lbs6 ft0NoNoN/ANoNo32026-05-31FalseFalsePro & Farm2,052,000$0$0$No2,052,000$2,052,000$-------2,052,000$2,052,000$-------NoNo-------
Elias SalomonssonMoose (WIN)D222004-08-31SWEYes190 Lbs6 ft2NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Eric RobinsonMoose (WIN)LW/RW311995-06-14USANo209 Lbs6 ft2YesNoFree Agent2024-07-18NoNo32026-08-17FalseFalsePro & Farm2,715,075$0$0$No2,715,075$2,715,075$-------2,715,075$2,715,075$-------YesYes-------
Jimmy SnuggerudMoose (WIN)RW222004-06-01USAYes194 Lbs6 ft1NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Joel FarabeeMoose (WIN)LW/RW262000-02-25USANo174 Lbs6 ft0NoNoN/ANoNo32026-05-31FalseFalsePro & Farm2,187,000$0$0$No2,187,000$2,187,000$-------2,187,000$2,187,000$-------NoNo-------
Jonathan GrudenMoose (WIN)C/LW/RW262000-05-04USANo179 Lbs6 ft0NoNoTrade2026-06-08NoNo42025-08-22FalseFalsePro & Farm3,199,999$0$0$No3,199,999$3,199,999$3,199,999$------3,199,999$3,199,999$3,199,999$------NoNoNo------
Kevin KorchinskiMoose (WIN)D222004-06-21CANNo104 Lbs4 ft0NoNoFree AgentNoNo22025-05-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Kyle BettsMoose (WIN)C301996-09-17CANNo185 Lbs6 ft1NoNoFree Agent2025-01-18NoNo32025-09-01FalseFalsePro & Farm2,699,999$0$0$No2,699,999$2,699,999$-------2,699,999$2,699,999$-------NoNo-------
Liam OBrienMoose (WIN)C/LW/RW321994-07-29CANNo217 Lbs6 ft1NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,287,000$0$0$No1,287,000$--------1,287,000$--------No--------
Malte StromwallMoose (WIN)RW321994-08-24SWENo192 Lbs6 ft0NoNoTrade2026-06-08NoNo1FalseFalsePro & Farm1,775,000$0$0$No---------------------------
Matt RempeMoose (WIN)C/LW/RW242002-06-29CANNo243 Lbs6 ft8NoNoTrade2025-05-25NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Matt VillaltaMoose (WIN)G271999-06-03CANNo170 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm3,215,000$0$0$No---------------------------
Maveric LamoureuxMoose (WIN)D222004-01-13CANNo216 Lbs6 ft7NoNoFree AgentNoNo22025-05-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Nathan BastianMoose (WIN)C/RW281997-12-06CANNo213 Lbs6 ft4YesNoFree Agent2026-01-11NoNo42026-08-18FalseFalsePro & Farm2,715,075$0$0$No2,715,075$2,715,075$2,715,075$------2,715,075$2,715,075$2,715,075$------YesYesYes------
Niklas KokkoMoose (WIN)G222004-03-14FINNo191 Lbs6 ft4NoNoFree AgentNoNo22025-05-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Noah WarrenMoose (WIN)D222004-07-15CANYes216 Lbs6 ft4NoNoFree AgentNoNo32026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Oskar BackMoose (WIN)C/LW262000-03-12SWENo212 Lbs6 ft2NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,276,000$0$0$No1,276,000$--------1,276,000$--------No--------
Owen BeckMoose (WIN)C222004-02-03CANNo202 Lbs6 ft0NoNoFree AgentNoNo22025-05-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Samuel RichardMoose (WIN)G252001-03-12CANNo170 Lbs6 ft0NoNoFree AgentNoNo12026-06-26FalseFalsePro & Farm1,225,000$0$0$No---------------------------
Shane BowersMoose (WIN)C/RW271999-07-30CANNo192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,135,000$0$0$No1,135,000$--------1,135,000$--------No--------
Shawn ElementMoose (WIN)C/LW262000-04-23CANNo196 Lbs6 ft0NoNoTrade2024-09-09NoNo22025-05-25FalseFalsePro & Farm1,192,000$0$0$No1,192,000$--------1,192,000$--------No--------
T.J. SchweighardtMoose (WIN)D252001-03-15USANo181 Lbs5 ft11NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm835,000$0$0$No---------------------------
Uvis BalinskisMoose (WIN)D301996-08-01LATNo200 Lbs6 ft0NoNoFree Agent2024-08-01NoNo32025-08-22FalseFalsePro & Farm3,099,999$0$0$No3,099,999$3,099,999$-------3,099,999$3,099,999$-------NoNo-------
Will BittenMoose (WIN)C/RW281998-07-10CANNo185 Lbs5 ft11NoNoFree AgentNoNo22024-07-15FalseFalsePro & Farm3,195,075$0$0$No3,195,075$--------3,195,075$--------No--------
William VilleneuveMoose (WIN)D242002-03-20CANNo188 Lbs6 ft2NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,293,000$0$0$No1,293,000$1,293,000$-------1,293,000$1,293,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3426.06196 Lbs6 ft12.381,781,776$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel FarabeeDylan GambrellJimmy Snuggerud25014
2Eric RobinsonOwen BeckNathan Bastian25023
3Jonathan GrudenAatu RatyMalte Stromwall25113
4Arshdeep BainsOskar BackCrowbarre Moniere25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maveric LamoureuxUvis Balinskis31041
2Kevin KorchinskiElias Salomonsson31041
3Carson SoucyNoah Warren31041
4Maveric LamoureuxKevin Korchinski7023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joel FarabeeAatu RatyJimmy Snuggerud50005
2Arshdeep BainsOwen BeckMalte Stromwall50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiUvis Balinskis50014
2Maveric LamoureuxElias Salomonsson50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackNathan Bastian50041
2Dylan GambrellEric Robinson50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carson SoucyUvis Balinskis50050
2Elias SalomonssonMaveric Lamoureux50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Back50050Carson SoucyUvis Balinskis50050
2Dylan Gambrell50050Elias SalomonssonMaveric Lamoureux50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Owen BeckNathan Bastian50041
2Dylan GambrellJimmy Snuggerud50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiElias Salomonsson50041
2Carson SoucyNoah Warren50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joel FarabeeDylan GambrellJimmy SnuggerudKevin KorchinskiMaveric Lamoureux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonOskar BackNathan BastianCarson SoucyElias Salomonsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jimmy Snuggerud, Owen Beck, Oskar BackDylan Gambrell, Eric RobinsonJoel Farabee
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Elias Salomonsson, Noah Warren, Kevin KorchinskiNoah WarrenNoah Warren, Kevin Korchinski
Tirs de pénalité
Joel Farabee, Jimmy Snuggerud, Eric Robinson, Malte Stromwall, Arshdeep Bains
Gardien
#1 : Niklas Kokko, #2 : Matt Villalta


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
TotalDomicile Visiteur
# 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 RI
1Admirals1010000012-11010000012-10000000000000.000123001312842891998512162621400.00%30100.00%018136150.14%18936451.92%9818552.97%2831892909115677
2Checkers22000000633110000004221100000021141.00061117001312844591998512521116428337.50%8362.50%018136150.14%18936451.92%9818552.97%2831892909115677
3Firebird2020000017-61010000002-21010000015-400.00011200131284329199851250132244500.00%11190.91%118136150.14%18936451.92%9818552.97%2831892909115677
4IceHogs11000000615000000000001100000061521.00061117001312842591998512219428100.00%20100.00%018136150.14%18936451.92%9818552.97%2831892909115677
5Roadrunners210000018801000000156-11100000032130.750815230013128463919985124616124210330.00%6266.67%018136150.14%18936451.92%9818552.97%2831892909115677
6Stars20100010660100000104311010000023-120.5006915001312844091998512691424555120.00%11190.91%018136150.14%18936451.92%9818552.97%2831892909115677
7Wild2010100079-21010000036-31000100043120.500713200013128448919985126120184012216.67%9188.89%018136150.14%18936451.92%9818552.97%2831892909115677
Total1245010113536-1613000111721-46320100018153130.54235629700131284281919985123158510227245920.00%50884.00%118136150.14%18936451.92%9818552.97%2831892909115677
_Since Last GM Reset1245010113536-1613000111721-46320100018153130.54235629700131284281919985123158510227245920.00%50884.00%118136150.14%18936451.92%9818552.97%2831892909115677
_Vs Conference1245010113536-1613000111721-46320100018153130.54235629700131284281919985123158510227245920.00%50884.00%118136150.14%18936451.92%9818552.97%2831892909115677
_Vs Division245010116331130001142213201000211133.25061117001312844591998512521116428337.50%8362.50%018136150.14%18936451.92%9818552.97%2831892909115677

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1213W13562972813158510227200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
124510113536
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
61300111721
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63210001815
Derniers 10 matchs
WLOTWOTL SOWSOL
351001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
45920.00%50884.00%1
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
91998512131284
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
18136150.14%18936451.92%9818552.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2831892909115677


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
216Moose3Roadrunners2WSommaire du match
429Stars3Moose4WXXSommaire du match
648Firebird2Moose0LSommaire du match
1068Checkers2Moose4WSommaire du match
1283Moose4Wild3WXSommaire du match
1497Admirals2Moose1LSommaire du match
16113Moose2Checkers1WSommaire du match
17120Moose2Stars3LSommaire du match
20134Moose1Firebird5LSommaire du match
23154Roadrunners6Moose5LXXSommaire du match
25171Wild6Moose3LSommaire du match
26180Moose6IceHogs1WSommaire du match
29202Moose-Americans-
31217IceHogs-Moose-
33226Moose-Canucks-
35240Moose-Admirals-
37254Marlies-Moose-
40272Moose-Condors-
42285Thunderbirds-Moose-
44299Moose-Marlies-
46317Bruins-Moose-
48333Moose-Thunderbirds-
50344Moose-IceHogs-
51352Phantoms-Moose-
54375Penguins-Moose-
58389Moose-Monsters-
61407Wild-Moose-
63425Moose-Admirals-
65439Admirals-Moose-
67453Moose-Wild-
69472Wranglers-Moose-
72491Moose-Checkers-
74505Comets-Moose-
78525Moose-Roadrunners-
80538Firebird-Moose-
82560Moose-Reign-
83569Checkers-Moose-
86591Moose-Silver Knight-
88602Gulls-Moose-
90617Moose-Crunch-
92634Canucks-Moose-
94652Moose-Hammers-
97664Hammers-Moose-
99679Moose-Firebird-
101696Crunch-Moose-
103712Moose-Gulls-
105727IceHogs-Moose-
107742Moose-Barracuda-
109757Barracuda-Moose-
111771Moose-Wolves-
116791Senators-Moose-
119813Moose-Griffins-
120824Reign-Moose-
124851Bears-Moose-
126869Moose-Senators-
127880Rockets-Moose-
129894Moose-Wranglers-
131914Stars-Moose-
137943Americans-Moose-
141967Wolf Pack-Moose-
143982Moose-Bears-
145999Eagles-Moose-
1491022Moose-Rockets-
1501035Monsters-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1551060Wolves-Moose-
1581079Moose-Stars-
1601092Roadrunners-Moose-
1621105Moose-Eagles-
1641118Moose-Phantoms-
1661127Silver Knight-Moose-
1681144Moose-Wolf Pack-
1701157Griffins-Moose-
1721168Moose-Bruins-
1761187Condors-Moose-
1781193Moose-Comets-
1841213Moose-Penguins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4030
Assistance12,0006,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
32 3000 - 100.00% 163,900$983,400$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,841,265$ 12,116,075$ 12,116,075$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,768,284$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,244,800$ 158 68,195$ 10,774,810$




Moose Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Moose Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Moose Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Moose Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA