Connexion

Manitoba Moose
GP: 18 | W: 11 | L: 7
GF: 59 | GA: 40 | PP%: 11.54% | PK%: 85.71%
DG: Chris Ferguson | Morale : 73 | Moyenne d’équipe : 64
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Centre de jeu
Manitoba Moose
11-7-0, 22pts
1
FINAL
3 Utica Comets
15-11-0, 30pts
Team Stats
L2SéquenceL1
6-4-0Fiche domicile7-5-0
5-3-0Fiche domicile8-6-0
6-3-1Derniers 10 matchs6-4-0
3.28Buts par match 2.96
2.22Buts contre par match 2.85
11.54%Pourcentage en avantage numérique27.50%
85.71%Pourcentage en désavantage numérique80.00%
Utica Comets
15-11-0, 30pts
3
FINAL
2 Manitoba Moose
11-7-0, 22pts
Team Stats
L1SéquenceL2
7-5-0Fiche domicile6-4-0
8-6-0Fiche domicile5-3-0
6-4-0Derniers 10 matchs6-3-1
2.96Buts par match 3.28
2.85Buts contre par match 2.22
27.50%Pourcentage en avantage numérique11.54%
80.00%Pourcentage en désavantage numérique85.71%
Meneurs d'équipe
Cole PerfettiButs
Cole Perfetti
12
Cole PerfettiPasses
Cole Perfetti
14
Cole PerfettiPoints
Cole Perfetti
26
Jamie DrysdalePlus/Moins
Jamie Drysdale
10
Spencer MartinVictoires
Spencer Martin
11
Spencer MartinPourcentage d’arrêts
Spencer Martin
0.938

Statistiques d’équipe
Buts pour
59
3.28 GFG
Tirs pour
707
39.28 Avg
Pourcentage en avantage numérique
11.5%
3 GF
Début de zone offensive
41.2%
Buts contre
40
2.22 GAA
Tirs contre
601
33.39 Avg
Pourcentage en désavantage numérique
85.7%%
2 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralChris Ferguson
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,650


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 65
Espoirs51


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
1Cole Perfetti (R)0XX100.00654781787784697647736667735650085700221894,167$
2Vasily Podkolzin0X100.00715479778182707250666766725750092690231925,000$
3Axel Jonsson-Fjallby (R)0X100.00694386757981717140666569705650089680264775,000$
4Kole Lind (R)0XX100.00624863736770676746656466685450086650252775,000$
5Trey Fix-Wolansky (R)0X100.00544663715664636844656256675250081620254775,000$
6Matt Coronato (R)0XX100.00574071717379606440606060655150087620213925,000$
7Gabriel Fortier (R)0XX100.00604469715864636357615661635150088610243781,667$
8Scott Reedy (R)0X100.00604774657269646449595958625250091610251852,500$
9Jiri Kulich (R)0XX100.00594070686157576442626255655050091600205918,333$
10Tyler Madden (R)0XXX100.00534372725364646353596053655150086600242775,000$
11Jan Jenik (R)0XX100.00565460705761596247615556625050085590232775,000$
12Michal Teply (R)0X100.00574573646563626242605552605050089580232820,000$
13Brett Berard (R)0XX100.00375357495749536640655963594547089570216867,500$
14Ivan Chekhovich (R)0XX100.00623575775668694754464955466048079570251775,000$
15Stephen Johns0X100.00913579837367706440526472407068087720321800,000$
16Mark Friedman0X100.00685475747584746940636269686959086700281800,000$
17Jamie Drysdale0X100.00584379767786697140666266695952086690221925,000$
18Nick Blankenburg (R)0X100.00664473757081667040686569705650090690263800,000$
19Justin Barron (R)0X100.00644971747977646940686268685650089680222925,000$
20Victor Soderstrom (R)0X100.00594866737478666740665865665752089660232863,333$
21Cam Dineen (R)0X100.00554376726670656840665768665350088650262775,000$
22Christian Wolanin0X100.00604467696367666440655568635750086640291775,000$
23John Leonard (R)0XXX100.00574472696164636543635957655250089610252775,000$
24Mattias Norlinder (R)0X100.00594069666262626240615461615150089610241859,167$
25Albert Johansson (R)0X100.00564065695961616140575760625050089600232820,000$
Rayé
1Alexander Chmelevski (R)0XX100.00503575765265675053465549526048020550251775,000$
2Vasily Ponomarev (R)0X100.00555555555555555555555555555555020550213795,000$
3Emil Andrae (R)0X100.00584068686058575740545460595050031590225903,333$
MOYENNE D’ÉQUIPE100.0060457171666964644461596263555108163
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
1Spencer Martin0100.0079787976817673737580747165088760291775,000$
2Dustin Tokarski0100.00747678697574757273767475680887403412,000,000$
Rayé
1Nico Daws (R)0100.0073666875727375727371655150026700231850,833$
2Joel Daccord0100.0055555555555555555555555555026550274800,000$
MOYENNE D’ÉQUIPE100.007069706971707068697167636005769
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Cole PerfettiManitoba Moose (WPG)C/LW181214265752540103306211.65%839121.741232240000124042.42%6202214001.3300010250
2Vasily PodkolzinManitoba Moose (WPG)RW18111324424203726104315910.58%938421.370113240000121056.10%41268001.2500103111
3Axel Jonsson-FjallbyManitoba Moose (WPG)LW1881018600252565224112.31%1034819.36123123000152116.67%18125001.0300000211
4Kole LindManitoba Moose (WPG)C/LW18571285548245318349.43%731017.23000119000151138.87%2651410000.7700001211
5Trey Fix-WolanskyManitoba Moose (WPG)RW18651181410241137102616.22%530116.76000418000001011.11%9810000.7300020112
6Stephen JohnsManitoba Moose (WPG)D1828106003133451794.44%2343524.19101326000014000%0825000.4600000001
7Gabriel FortierManitoba Moose (WPG)C/LW18549400281627163118.52%222212.3600000000001052.29%10952000.8100000001
8Matt CoronatoManitoba Moose (WPG)LW/RW183476002015407267.50%1134018.93000319000000024.00%2516000.4100000010
9Jamie DrysdaleManitoba Moose (WPG)D1815610101012163213173.13%2432518.0600001800009000%0718000.3700110000
10Tyler MaddenManitoba Moose (WPG)C/LW/RW1824645515123811245.26%422012.2300000000000060.00%563000.5400010000
11Nick BlankenburgManitoba Moose (WPG)D18066102013212912150%2532718.1700011800007000%0614000.3700000000
12John LeonardManitoba Moose (WPG)LW/RW/D1814540014163912212.56%522712.6200000000040040.00%1092000.4400000100
13Mark FriedmanManitoba Moose (WPG)D180448342026263014130%1842423.58000026000110000%0127000.1900211000
14Scott ReedyManitoba Moose (WPG)C1804430061283120%11488.2700000000000040.74%5443000.5400000000
15Jan JenikManitoba Moose (WPG)C/RW18213320152127716.67%21498.320000000000100%061000.4000000001
16Jiri KulichManitoba Moose (WPG)C/LW18112355912267173.85%01488.220000000000000%281000.2700100000
17Cam DineenManitoba Moose (WPG)D18011000253210%91136.280000000000000%014000.1800000000
18Justin BarronManitoba Moose (WPG)D180112008129730%1120711.520000000001000%042000.1000000000
19Victor SoderstromManitoba Moose (WPG)D1801127512204020%1220411.350000000000000%035000.1000001000
20Albert JohanssonManitoba Moose (WPG)D18000000000000%060.340000000003000%00000000000000
21Brett BerardManitoba Moose (WPG)LW/RW18000-100100000%040.280000100000000%00000000000000
22Christian WolaninManitoba Moose (WPG)D18000055333010%51126.250000000000000%00100000001000
23Mattias NorlinderManitoba Moose (WPG)D18000-240020000%0140.820000000000000%00000000000000
24Michal TeplyManitoba Moose (WPG)LW18000-220030000%0181.0500002000000038.46%130000000000000
25Ivan ChekhovichManitoba Moose (WPG)C/LW18000-100000000%070.4400000000050025.00%40000000000000
Statistiques d’équipe totales ou en moyenne450599715690126903743527072394218.35%191539511.993581822500039511241.79%1175162141000.58005679108
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
1Spencer MartinManitoba Moose (WPG)1811610.9382.06107921375982781300180302
Statistiques d’équipe totales ou en moyenne1811610.9382.0610792137598278130180302


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer 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
Albert JohanssonManitoba Moose (WPG)D232001-01-04Yes168 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------
Alexander ChmelevskiManitoba Moose (WPG)C/RW251999-06-09Yes180 Lbs6 ft0NoNoN/ANoNo12024-01-16FalseFalsePro & Farm775,000$0$0$No---------------------------
Axel Jonsson-FjallbyManitoba Moose (WPG)LW261998-02-10Yes189 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------Lien NHL
Brett BerardManitoba Moose (WPG)LW/RW212002-09-09Yes155 Lbs5 ft9NoNoProspectNoNo62024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$867,500$----867,500$867,500$867,500$867,500$867,500$----NoNoNoNoNo----
Cam DineenManitoba Moose (WPG)D261998-06-19Yes183 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Christian WolaninManitoba Moose (WPG)D291995-03-17No190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Cole PerfettiManitoba Moose (WPG)C/LW222002-01-01Yes184 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm894,167$0$0$No---------------------------Lien NHL
Dustin TokarskiManitoba Moose (WPG)G341989-09-16No198 Lbs6 ft0NoNoTrade2024-01-29NoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------
Emil AndraeManitoba Moose (WPG)D222002-02-23Yes181 Lbs5 ft9NoNoN/ANoNo5FalseFalsePro & Farm903,333$0$0$No903,333$903,333$903,333$903,333$-----903,333$903,333$903,333$903,333$-----NoNoNoNo-----
Gabriel FortierManitoba Moose (WPG)C/LW242000-02-06Yes172 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm781,667$0$0$No781,667$781,667$-------781,667$781,667$-------NoNo-------
Ivan ChekhovichManitoba Moose (WPG)C/LW251999-01-04Yes185 Lbs5 ft10NoNoN/ANoNo12024-01-16FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Jamie DrysdaleManitoba Moose (WPG)D222002-04-08No183 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien NHL
Jan JenikManitoba Moose (WPG)C/RW232000-09-15Yes161 Lbs6 ft1NoNoN/ANoNo22024-01-16FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Jiri KulichManitoba Moose (WPG)C/LW202004-04-14Yes179 Lbs5 ft11NoNoN/ANoNo5FalseFalsePro & Farm918,333$0$0$No918,333$918,333$918,333$918,333$-----918,333$918,333$918,333$918,333$-----NoNoNoNo-----
Joel DaccordManitoba Moose (WPG)G271996-08-19No197 Lbs6 ft2NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------
John LeonardManitoba Moose (WPG)LW/RW/D251998-08-07Yes183 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien NHL
Justin BarronManitoba Moose (WPG)D222001-11-15Yes201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Kole LindManitoba Moose (WPG)C/LW251998-10-16Yes179 Lbs6 ft1NoNoN/ANoNo22024-01-16FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Mark FriedmanManitoba Moose (WPG)D281995-12-25No185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Matt CoronatoManitoba Moose (WPG)LW/RW212002-11-14Yes183 Lbs5 ft10NoNoTrade2024-01-18NoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------
Mattias NorlinderManitoba Moose (WPG)D242000-04-12Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm859,167$0$0$No---------------------------
Michal TeplyManitoba Moose (WPG)LW232001-05-27Yes187 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm820,000$0$0$No820,000$--------820,000$--------No--------
Nick BlankenburgManitoba Moose (WPG)D261998-05-12Yes177 Lbs5 ft9NoNoN/ANoNo3FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Nico DawsManitoba Moose (WPG)G232000-12-22Yes205 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------
Scott ReedyManitoba Moose (WPG)C251999-04-04Yes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm852,500$0$0$No---------------------------
Spencer MartinManitoba Moose (WPG)G291995-06-08No191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien NHL
Stephen JohnsManitoba Moose (WPG)D321992-04-17No225 Lbs6 ft4NoNoFree AgentNoNo12024-02-04FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Trey Fix-WolanskyManitoba Moose (WPG)RW251999-05-26Yes179 Lbs5 ft7NoNoN/ANoNo4FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Tyler MaddenManitoba Moose (WPG)C/LW/RW241999-11-09Yes152 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Vasily PodkolzinManitoba Moose (WPG)RW232001-06-24No190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien NHL
Vasily PonomarevManitoba Moose (WPG)C212002-07-16Yes180 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm795,000$0$0$No795,000$795,000$-------795,000$795,000$-------NoNo-------
Victor SoderstromManitoba Moose (WPG)D232001-02-26Yes184 Lbs5 ft11NoNoTrade2024-01-29NoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.63184 Lbs6 ft02.22864,089$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson-FjallbyCole PerfettiVasily Podkolzin40122
2Matt CoronatoKole LindTrey Fix-Wolansky30122
3John LeonardGabriel FortierTyler Madden20122
4Jiri KulichScott ReedyJan Jenik10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsMark Friedman40122
2Jamie DrysdaleNick Blankenburg30122
3Justin BarronVictor Soderstrom20122
4Cam DineenChristian Wolanin10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Axel Jonsson-FjallbyCole PerfettiVasily Podkolzin60122
2Matt CoronatoKole LindTrey Fix-Wolansky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsMark Friedman60122
2Jamie DrysdaleNick Blankenburg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cole PerfettiVasily Podkolzin60122
2Axel Jonsson-FjallbyKole Lind40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsMark Friedman60122
2Jamie DrysdaleNick Blankenburg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cole Perfetti60122Stephen JohnsMark Friedman60122
2Vasily Podkolzin40122Jamie DrysdaleNick Blankenburg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cole PerfettiVasily Podkolzin60122
2Axel Jonsson-FjallbyKole Lind40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Stephen JohnsMark Friedman60122
2Jamie DrysdaleNick Blankenburg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson-FjallbyCole PerfettiVasily PodkolzinStephen JohnsMark Friedman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Axel Jonsson-FjallbyCole PerfettiVasily PodkolzinStephen JohnsMark Friedman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Michal Teply, Brett Berard, Ivan ChekhovichMichal Teply, Brett BerardIvan Chekhovich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Norlinder, Albert Johansson, Justin BarronMattias NorlinderAlbert Johansson, Justin Barron
Tirs de pénalité
Cole Perfetti, Vasily Podkolzin, Axel Jonsson-Fjallby, Kole Lind, Matt Coronato
Gardien
#1 : Spencer Martin, #2 : Dustin Tokarski
Lignes d’attaque personnalisées en prolongation
Cole Perfetti, Vasily Podkolzin, Axel Jonsson-Fjallby, Kole Lind, Matt Coronato, Trey Fix-Wolansky, Trey Fix-Wolansky, Gabriel Fortier, John Leonard, Scott Reedy, Tyler Madden
Lignes de défense personnalisées en prolongation
Stephen Johns, Mark Friedman, Jamie Drysdale, Nick Blankenburg, Justin Barron


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
1Ontario Reign743000002213943100000155103120000078-180.57122355711827231266207243254323083441531000.00%70100.00%020648442.56%16742039.76%11827143.54%395236363157325161
2San Jose Barracuda440000001486220000007342200000075281.0001425390082723116320724325431404313837114.29%4250.00%020648442.56%16742039.76%11827143.54%395236363157325161
3Utica Comets7340000023194413000001313032100000106460.42923376020827231278207243254323165711389222.22%30100.00%020648442.56%16742039.76%11827143.54%395236363157325161
Total18117000005940191064000003521148530000024195220.611599715631827231707207243254360119112837426311.54%14285.71%020648442.56%16742039.76%11827143.54%395236363157325161
_Since Last GM Reset18117000005940191064000003521148530000024195220.611599715631827231707207243254360119112837426311.54%14285.71%020648442.56%16742039.76%11827143.54%395236363157325161
_Vs Conference18117000005940191064000003521148530000024195220.611599715631827231707207243254360119112837426311.54%14285.71%020648442.56%16742039.76%11827143.54%395236363157325161

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822L2599715670760119112837431
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1811700005940
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
106400003521
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
85300002419
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
26311.54%14285.71%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
2072432543827231
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
20648442.56%16742039.76%11827143.54%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
395236363157325161


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
11Ontario Reign3Manitoba Moose2LSommaire du match
29Ontario Reign1Manitoba Moose5WSommaire du match
317Manitoba Moose1Ontario Reign3LSommaire du match
425Manitoba Moose5Ontario Reign2WSommaire du match
533Ontario Reign1Manitoba Moose3WSommaire du match
641Manitoba Moose1Ontario Reign3LSommaire du match
749Ontario Reign0Manitoba Moose5WSommaire du match
857San Jose Barracuda2Manitoba Moose3WSommaire du match
961San Jose Barracuda1Manitoba Moose4WSommaire du match
1065Manitoba Moose4San Jose Barracuda3WSommaire du match
1169Manitoba Moose3San Jose Barracuda2WXSommaire du match
1585Utica Comets5Manitoba Moose3LSommaire du match
1687Utica Comets2Manitoba Moose6WSommaire du match
1789Manitoba Moose5Utica Comets2WSommaire du match
1891Manitoba Moose4Utica Comets1WSommaire du match
1993Utica Comets3Manitoba Moose2LXSommaire du match
2095Manitoba Moose1Utica Comets3LSommaire du match
2197Utica Comets3Manitoba Moose2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,765,083$ 2,760,083$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Manitoba 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

Manitoba 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

Manitoba 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

Manitoba 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

Manitoba 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