Manitoba Moose
GP: 13 | W: 4 | L: 9 | OTL: 0 | P: 8
GF: 30 | GA: 51 | PP%: 22.22% | PK%: 77.78%
DG: Toby | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #257 vs Ontario Reign
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Centre de jeu
Manitoba Moose
4-9-0, 8pts
1
FINAL
0 Belleville Senators
6-9-0, 12pts
Team Stats
L1SéquenceL2
2-6-0Fiche domicile4-3-0
2-3-0Fiche domicile2-6-0
4-6-0Derniers 10 matchs3-7-0
2.31Buts par match 3.20
3.92Buts contre par match 4.07
22.22%Pourcentage en avantage numérique16.67%
77.78%Pourcentage en désavantage numérique76.47%
Hershey Bears
9-5-1, 19pts
5
FINAL
4 Manitoba Moose
4-9-0, 8pts
Team Stats
W2SéquenceL1
4-3-0Fiche domicile2-6-0
5-2-1Fiche domicile2-3-0
5-4-1Derniers 10 matchs4-6-0
4.20Buts par match 2.31
3.33Buts contre par match 3.92
25.00%Pourcentage en avantage numérique22.22%
89.36%Pourcentage en désavantage numérique77.78%
Ontario Reign
7-5-2, 16pts
2025-02-08
Manitoba Moose
4-9-0, 8pts
Statistiques d’équipe
L1SéquenceL1
2-5-1Fiche domicile2-6-0
5-0-1Fiche visiteur2-3-0
5-3-210 derniers matchs4-6-0
3.36Buts par match 2.31
3.29Buts contre par match 2.31
30.77%Pourcentage en avantage numérique22.22%
80.00%Pourcentage en désavantage numérique77.78%
Manitoba Moose
4-9-0, 8pts
2025-02-09
San Jose Barracuda
14-1-0, 28pts
Statistiques d’équipe
L1SéquenceW8
2-6-0Fiche domicile7-0-0
2-3-0Fiche visiteur7-1-0
4-6-010 derniers matchs9-1-0
2.31Buts par match 4.60
3.92Buts contre par match 4.60
22.22%Pourcentage en avantage numérique33.82%
77.78%Pourcentage en désavantage numérique68.89%
Manitoba Moose
4-9-0, 8pts
2025-02-10
Providence Bruins
7-8-0, 14pts
Statistiques d’équipe
L1SéquenceL1
2-6-0Fiche domicile4-3-0
2-3-0Fiche visiteur3-5-0
4-6-010 derniers matchs5-5-0
2.31Buts par match 2.93
3.92Buts contre par match 2.93
22.22%Pourcentage en avantage numérique9.23%
77.78%Pourcentage en désavantage numérique71.70%
Meneurs d'équipe
Mason AppletonButs
Mason Appleton
4
Passes
Brett Murray
7
Points
Brett Murray
10
Plus/Moins
Michael Vukojevic
3
Victoires
Yegor Velmakin
4
Pourcentage d’arrêts
Yegor Velmakin
0.899

Statistiques d’équipe
Buts pour
30
2.31 GFG
Tirs pour
386
29.69 Avg
Pourcentage en avantage numérique
22.2%
10 GF
Début de zone offensive
37.8%
Buts contre
51
3.92 GAA
Tirs contre
507
39.00 Avg
Pourcentage en désavantage numérique
77.8%%
14 GA
Début de la zone défensive
43.6%
Informations de l'équipe

Directeur généralToby
DivisionDivision 1
ConférenceConference 1
CapitaineCaden Price
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 55
Espoirs3


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
1Mason Appleton0XX100.0079458880727379644971697825697053506802912,166,667$
2Rem Pitlick0XX100.0075718575708182695066667062636361506602761,380,000$
3Brett Howden0XX100.0075448580746480636262607825717163506502611,900,000$
4Samuel Blais0X100.009966788277628262316055637567695350630286950,000$
5Seth Griffith0XX100.0070658765677885698171626656535336506303261,150,000$
6Tanner Howe (R)0X100.005448697465819573676964556750509050630193875,000$
7Tyler Pitlick0X100.009153897775587562315956682571712150620333850,000$
8Brett Murray0X100.008688816988757960505561695950506150620266750,000$
9Justin Dowling0XXX100.007164897065727364816160675762622150620341775,000$
10Riley Nash0XX100.006968757970687065806165656050521950620351975,000$
11Maxim Masse (R)0X100.005248887271809570655969537246469550620183875,000$
12Liam O'Brien0XX100.009799446882578363326058632566663650610301775,000$
13Andreas Englund0X100.0090996970756289602549477125646252506402811,000,000$
14Caden Price (R) (C)0X100.005347817367779565256852685047479450630192925,000$
15Sean Day0X100.0090898865887075522548427240474762506202761,350,000$
16Ilya Solovyov0X100.007877806777738048253842624045457450580241700,000$
17Michael Vukojevic (R)0X100.007979806679586147253741623945457950560231700,000$
18Artem Guryev (R)0X100.007084366684545744253241573947478750540211700,000$
Rayé
1Jayden Grubbe (R)0X100.007675796575657049614448614646468850540221700,000$
2Henrik Rybinski (R)0XX100.007265886665646851645047604545457950540231700,000$
3Jalen Luypen (R)0XX100.006557826457646851645246564446467850530221700,000$
4Alex Swetlikoff0XXX100.007264926164525350633856605346467850520231700,000$
5Tarun Fizer (R)0XX100.007061926561545648604545584345457950510231700,000$
6Ryan Francis0XX100.007162926662505247594246584446467850510231700,000$
7Tyson Feist (R)0X100.006769636469555747253940563845457950530241700,000$
MOYENNE D’ÉQUIPE100.00756779707266745849535464465353655059
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
1Yegor Velmakin (R)0100.00635255656267687269646457578750630212925,000$
2Olof Lindbom0100.005947597263696267716630464673506102461,350,000$
Rayé
1Daniel Vladar0100.006054548065607366696075555662506302712,200,000$
2Gustav Grigals0100.00594759776566586468663045456450600266750,000$
3Dylan Garand (R)0100.00495063625351505551513045457950520222902,500$
MOYENNE D’ÉQUIPE100.0058505871626362656661465050735060
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
1Brett MurrayManitoba Moose (WPG)LW133710-514024193314249.09%423217.861231135000010033.33%1500000.8600000010
2Simon NemecWinnipeg JetsD82810-34015111151318.18%1619524.49235825000035100%000001.0200000101
3Caden PriceManitoba Moose (WPG)D13178-106071222684.55%2331924.581451439000254000%000000.5000000000
4Mason AppletonManitoba Moose (WPG)LW/RW11437-4801736414329.76%524422.190115310000291148.78%8200000.5700000001
5Liam O'BrienManitoba Moose (WPG)LW/RW13156-101805913288123.57%126620.531346310001260033.33%2400000.4500000001
6Isac LundestromWinnipeg JetsC/LW53360008131701217.65%09819.641123120002130050.00%1800001.2200000000
7Riley NashManitoba Moose (WPG)C/RW13426-420830429189.52%020715.9300003000020048.77%24400000.5800000100
8Seth GriffithManitoba Moose (WPG)C/RW13336-12201263511368.57%528622.032356340002490058.65%26600000.4200000000
9Andreas EnglundManitoba Moose (WPG)D13044-10375379141120%2027120.91011635000240000%000000.2900001000
10Brett HowdenManitoba Moose (WPG)C/LW9314-6407221851316.67%016718.560002100000160050.00%2800000.4800000010
11Rem PitlickManitoba Moose (WPG)C/RW9134-595521227154.55%216618.441123250001131046.72%13700000.4800001001
12Samuel BlaisManitoba Moose (WPG)RW10213-112036151731111.76%214814.8500003000000116.67%600000.4000000010
13Ilya SolovyovManitoba Moose (WPG)D1303311403645130%1322117.03000115000011000%000000.2700000000
14Sean DayManitoba Moose (WPG)D13011-1140207122120%1825919.94000935000144000%000000.0800000000
15Tyler PitlickManitoba Moose (WPG)RW13000-8201326372230%222016.960004170002260031.73%1040000000000000
16Justin DowlingManitoba Moose (WPG)C/LW/RW7000000000000%040.600000000001000%10000000000000
17Jayden GrubbeManitoba Moose (WPG)C2000000001000%063.310000000000000%10000000000000
18Artem GuryevManitoba Moose (WPG)D5000-529152201020%67214.420000200001000%00000000111000
19Jalen LuypenManitoba Moose (WPG)C/LW2000000000010%010.930000000000000%00000000000000
20Henrik RybinskiManitoba Moose (WPG)C/RW2000000011010%12914.6600000000000050.00%20000000000000
21Michael VukojevicManitoba Moose (WPG)D130003803056330%2321716.7600000000023000%00000000000000
22Alex SwetlikoffManitoba Moose (WPG)C/LW/RW6000000000000%020.37000010000000100.00%10000000000000
23Tanner HoweManitoba Moose (WPG)LW11000000000000%000.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne217275178-9017325345270363812517.44%141363916.779192878361000133913248.55%92900000.4300113234
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
1Yegor VelmakinManitoba Moose (WPG)134900.8993.93778415150700000130300
Statistiques d’équipe totales ou en moyenne134900.8993.9377841515070000130300


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 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
Alex SwetlikoffManitoba Moose (WPG)C/LW/RW232001-07-06BCNo178 Lbs5 ft11NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Andreas EnglundManitoba Moose (WPG)D281996-01-21SWENo189 Lbs6 ft3NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Artem GuryevManitoba Moose (WPG)D212003-05-17RUSYes227 Lbs6 ft4NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Brett HowdenManitoba Moose (WPG)C/LW261998-03-28ABNo200 Lbs6 ft3NoNoTrade2024-12-31NoNo12024-04-21FalseFalsePro & Farm1,900,000$0$0$No---------------------------Lien / Lien NHL
Brett MurrayManitoba Moose (WPG)LW261998-07-19ONTNo237 Lbs6 ft5NoNoAssign ManuallyNoNo62025-01-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$----750,000$750,000$750,000$750,000$750,000$----NoNoNoNoNo----Lien
Caden PriceManitoba Moose (WPG)D192005-08-24CANYes185 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Daniel VladarManitoba Moose (WPG)G271997-08-20CZENo187 Lbs6 ft5NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm2,200,000$0$0$No---------------------------Lien
Dylan GarandManitoba Moose (WPG)G222002-07-06BCYes174 Lbs6 ft0NoNoAssign ManuallyNoNo22024-04-21FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Gustav GrigalsManitoba Moose (WPG)G261998-07-22LATNo196 Lbs6 ft2NoNoAssign ManuallyNoNo62025-01-15FalseFalsePro & Farm750,000$0$0$No750,000$750,000$750,000$750,000$750,000$----750,000$750,000$750,000$750,000$750,000$----NoNoNoNoNo----Lien
Henrik RybinskiManitoba Moose (WPG)C/RW232001-06-26BCYes175 Lbs6 ft1NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Ilya SolovyovManitoba Moose (WPG)D242000-07-20BELNo211 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jalen LuypenManitoba Moose (WPG)C/LW222002-06-28BCYes158 Lbs5 ft10NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Jayden GrubbeManitoba Moose (WPG)C222003-01-12ABYes203 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Justin DowlingManitoba Moose (WPG)C/LW/RW341990-10-01ABNo181 Lbs5 ft10NoNoTrade2025-01-22NoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Liam O'BrienManitoba Moose (WPG)LW/RW301994-07-29NSNo216 Lbs6 ft1NoNoAssign ManuallyNoNo12024-04-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Mason AppletonManitoba Moose (WPG)LW/RW291996-01-15USANo195 Lbs6 ft2NoNoTrade2025-01-12NoNo12024-04-21FalseFalsePro & Farm2,166,667$0$0$No---------------------------Lien / Lien NHL
Maxim MasseManitoba Moose (WPG)RW182006-04-07CANYes194 Lbs6 ft2NoNoAssign ManuallyNoNo32025-01-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Michael VukojevicManitoba Moose (WPG)D232001-06-08ONTYes216 Lbs6 ft3NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Olof LindbomManitoba Moose (WPG)G242000-07-23SWENo185 Lbs6 ft2NoNoAssign ManuallyNoNo62025-01-15FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----NoNoNoNoNo----Lien
Rem PitlickManitoba Moose (WPG)C/RW271997-04-02ONTNo198 Lbs5 ft11NoNoAssign ManuallyNoNo62025-01-14FalseFalsePro & Farm1,380,000$0$0$No1,380,000$1,380,000$1,380,000$1,380,000$1,380,000$----1,380,000$1,380,000$1,380,000$1,380,000$1,380,000$----NoNoNoNoNo----Lien
Riley NashManitoba Moose (WPG)C/RW351989-05-09ABNo188 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-15FalseFalsePro & Farm975,000$0$0$No---------------------------Lien
Ryan FrancisManitoba Moose (WPG)C/RW232001-12-02NSNo179 Lbs5 ft9NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Samuel BlaisManitoba Moose (WPG)RW281996-06-17QUENo208 Lbs6 ft2NoNoTrade2025-01-16NoNo62024-12-29FalseFalsePro & Farm950,000$0$0$No950,000$950,000$950,000$950,000$950,000$----950,000$950,000$950,000$950,000$950,000$----NoNoNoNoNo----Lien
Sean DayManitoba Moose (WPG)D271998-01-09BGMNo241 Lbs6 ft3NoNoAssign Manually2024-09-19NoNo62025-01-15FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----1,350,000$1,350,000$1,350,000$1,350,000$1,350,000$----NoNoNoNoNo----Lien
Seth GriffithManitoba Moose (WPG)C/RW321993-01-04ONTNo193 Lbs5 ft9NoNoAssign ManuallyNoNo62025-01-15FalseFalsePro & Farm1,150,000$0$0$No1,150,000$1,150,000$1,150,000$1,150,000$1,150,000$----1,150,000$1,150,000$1,150,000$1,150,000$1,150,000$----NoNoNoNoNo----Lien
Tanner HoweManitoba Moose (WPG)LW192005-11-28CANYes183 Lbs5 ft11NoNoAssign ManuallyNoNo32025-01-10FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Tarun FizerManitoba Moose (WPG)C/RW232001-03-01ABYes172 Lbs5 ft11NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Tyler PitlickManitoba Moose (WPG)RW331991-11-01USANo200 Lbs6 ft2NoNoAssign ManuallyNoNo32025-01-15FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Tyson FeistManitoba Moose (WPG)D242001-01-14BCYes184 Lbs6 ft2NoNoAssign ManuallyNoNo12025-01-16FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Yegor VelmakinManitoba Moose (WPG)G212003-04-08RUSYes175 Lbs6 ft2NoNoAssign ManuallyNoNo22024-08-14FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3025.30194 Lbs6 ft12.47994,139$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason AppletonRem PitlickSamuel Blais30122
2Liam O'BrienSeth GriffithTyler Pitlick30122
3Brett MurrayRiley NashBrett Howden25122
4Liam O'BrienMason AppletonSeth Griffith15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Artem GuryevCaden Price30122
2Andreas EnglundSean Day30122
3Ilya SolovyovMichael Vukojevic25122
4Andreas EnglundCaden Price15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason AppletonTyler PitlickRem Pitlick60122
2Liam O'BrienSeth GriffithBrett Murray40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ilya SolovyovCaden Price60122
2Andreas EnglundSean Day40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickSeth Griffith60122
2Mason AppletonLiam O'Brien40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael VukojevicCaden Price60122
2Sean DayAndreas Englund40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mason Appleton60122Andreas EnglundCaden Price60122
2Liam O'Brien40122Michael VukojevicIlya Solovyov40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason AppletonTyler Pitlick60122
2Seth GriffithLiam O'Brien40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andreas EnglundCaden Price60122
2Ilya SolovyovMichael Vukojevic40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonRem PitlickBrett HowdenAndreas EnglundCaden Price
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mason AppletonRem PitlickBrett HowdenAndreas EnglundCaden Price
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Liam O'Brien, Tyler Pitlick, Seth GriffithMason Appleton, Liam O'BrienLiam O'Brien
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Caden Price, Sean Day, Andreas EnglundCaden PriceAndreas Englund, Caden Price
Tirs de pénalité
Mason Appleton, Tyler Pitlick, Liam O'Brien, Riley Nash, Seth Griffith
Gardien
#1 : Yegor Velmakin, #2 : Olof Lindbom
Lignes d’attaque personnalisées en prolongation
Rem Pitlick, Tyler Pitlick, Liam O'Brien, Riley Nash, Mason Appleton, Samuel Blais, Samuel Blais, Brett Howden, Tanner Howe, Seth Griffith, Brett Murray
Lignes de défense personnalisées en prolongation
Michael Vukojevic, Caden Price, Andreas Englund, Sean Day, Ilya Solovyov


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
1Belleville Senators11000000101000000000001100000010121.0001120113791341201251392471110372150.00%50100.00%022144050.23%24050847.24%12221656.48%2992043189516482
2Colorado Eagles2010100047-32010100047-30000000000020.50047110013791461201251392771541533133.33%12283.33%022144050.23%24050847.24%12221656.48%2992043189516482
3Hershey Bears1010000045-11010000045-10000000000000.00045900137914012012513924516627200.00%20100.00%022144050.23%24050847.24%12221656.48%2992043189516482
4Iowa Wild1010000014-31010000014-30000000000000.00012300137911912012513923294620400.00%70100.00%022144050.23%24050847.24%12221656.48%2992043189516482
5Lehigh Valley Phantoms1010000036-3000000000001010000036-300.00036900137914312012513923518827300.00%4250.00%022144050.23%24050847.24%12221656.48%2992043189516482
6Ontario Reign2110000048-41010000005-51100000043120.50048120013791581201251392711020477228.57%10460.00%022144050.23%24050847.24%12221656.48%2992043189516482
7Providence Bruins2110000078-1110000003211010000046-220.500713200013791541201251392812022498225.00%11372.73%022144050.23%24050847.24%12221656.48%2992043189516482
8San Jose Barracuda2020000039-61010000023-11010000016-500.0003690013791651201251392863316598337.50%8275.00%022144050.23%24050847.24%12221656.48%2992043189516482
9Texas Stars1010000034-11010000034-10000000000000.0003690013791271201251392331110268112.50%4175.00%022144050.23%24050847.24%12221656.48%2992043189516482
Total1339010003051-21816010001730-13523000001321-880.30830548401137913861201251392507143179345451022.22%631477.78%022144050.23%24050847.24%12221656.48%2992043189516482
_Since Last GM Reset1339010003051-21816010001730-13523000001321-880.30830548401137913861201251392507143179345451022.22%631477.78%022144050.23%24050847.24%12221656.48%2992043189516482
_Vs Conference936000002236-1441300000915-6523000001321-860.333223961011379129412012513923651088224630826.67%401172.50%022144050.23%24050847.24%12221656.48%2992043189516482
_Vs Division22400000711-41120000045-11120000036-341.00071118001379183120125139280341454500.00%6266.67%022144050.23%24050847.24%12221656.48%2992043189516482

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
138L130548438650714317934501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
133910003051
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
81610001730
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001321
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
451022.22%631477.78%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
120125139213791
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
22144050.23%24050847.24%12221656.48%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2992043189516482


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
1 - 2025-01-195Ontario Reign5Manitoba Moose0LSommaire du match
2 - 2025-01-2026Manitoba Moose4Providence Bruins6LSommaire du match
3 - 2025-01-2137Manitoba Moose3Lehigh Valley Phantoms6LSommaire du match
4 - 2025-01-2256Colorado Eagles1Manitoba Moose2WXSommaire du match
5 - 2025-01-2367Manitoba Moose4Ontario Reign3WSommaire du match
6 - 2025-01-2488Texas Stars4Manitoba Moose3LSommaire du match
7 - 2025-01-25100Colorado Eagles6Manitoba Moose2LSommaire du match
10 - 2025-01-28130Providence Bruins2Manitoba Moose3WSommaire du match
13 - 2025-01-31159Manitoba Moose1San Jose Barracuda6LSommaire du match
14 - 2025-02-01173San Jose Barracuda3Manitoba Moose2LSommaire du match
15 - 2025-02-02193Iowa Wild4Manitoba Moose1LSommaire du match
16 - 2025-02-03210Manitoba Moose1Belleville Senators0WSommaire du match
18 - 2025-02-05225Hershey Bears5Manitoba Moose4LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
21 - 2025-02-08257Ontario Reign-Manitoba Moose-
22 - 2025-02-09277Manitoba Moose-San Jose Barracuda-
23 - 2025-02-10283Manitoba Moose-Providence Bruins-
24 - 2025-02-11290Tucson Roadrunners-Manitoba Moose-
26 - 2025-02-13303Manitoba Moose-Syracuse Crunch-
27 - 2025-02-14314Manitoba Moose-Tucson Roadrunners-
28 - 2025-02-15320Manitoba Moose-Providence Bruins-



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
2 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 29,824,168$ 29,824,168$ 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$ 11 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