Connexion

Manitoba Moose
GP: 13 | W: 7 | L: 6
GF: 47 | GA: 43 | PP%: 28.00% | PK%: 77.42%
DG: Tobias | Morale : 76 | Moyenne d’équipe : 56
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Manitoba Moose
7-6-0, 14pts
3
FINAL
5 Texas Stars
9-8-0, 18pts
Team Stats
OTL1SéquenceL3
4-3-0Fiche domicile3-4-0
3-3-0Fiche domicile6-4-0
5-4-1Derniers 10 matchs3-5-2
3.62Buts par match 3.24
3.31Buts contre par match 3.41
28.00%Pourcentage en avantage numérique30.23%
77.42%Pourcentage en désavantage numérique75.00%
Texas Stars
9-8-0, 18pts
4
FINAL
3 Manitoba Moose
7-6-0, 14pts
Team Stats
L3SéquenceOTL1
3-4-0Fiche domicile4-3-0
6-4-0Fiche domicile3-3-0
3-5-2Derniers 10 matchs5-4-1
3.24Buts par match 3.62
3.41Buts contre par match 3.31
30.23%Pourcentage en avantage numérique28.00%
75.00%Pourcentage en désavantage numérique77.42%
Meneurs d'équipe
David GustafssonButs
David Gustafsson
10
Brock McGinnPasses
Brock McGinn
11
Brock McGinnPoints
Brock McGinn
12
Daemon HuntPlus/Moins
Daemon Hunt
6
Anson ThorntonVictoires
Anson Thornton
3
Anson ThorntonPourcentage d’arrêts
Anson Thornton
0.909

Statistiques d’équipe
Buts pour
47
3.62 GFG
Tirs pour
538
41.38 Avg
Pourcentage en avantage numérique
28.0%
7 GF
Début de zone offensive
37.2%
Buts contre
43
3.31 GAA
Tirs contre
450
34.62 Avg
Pourcentage en désavantage numérique
77.4%%
7 GA
Début de la zone défensive
34.9%
Informations de l'équipe

Directeur généralTobias
EntraîneurAndre Tourigny
DivisionCentral Division
ConférenceWestern Conference
CapitaineByron Froese
Assistant #1David Gustafsson
Assistant #2Philippe Maillet


Informations de l’aréna

Capacité3,000
Assistance2,970
Billets de saison750


Informations de la formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 65
Espoirs45


Historique d'équipe

Saison actuelle7-6
Historique226-55-19 (0.753%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)7-6
Coupe Stanley0


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
1Brock McGinn26XX100.00804494766858676538585677757275087640312750,000$
2David Gustafsson (A)19XX100.00714399687354636574605875255758087610252775,000$
3Byron Froese (C)51XX100.00794491626757846682565574256161087610341750,000$
4Curtis McKenzie0XXX100.00787684657678826250635866554445088610341750,000$
5Philippe Maillet (A)61X100.00746693646668706480626264594444088600321750,000$
6Adam Beckman11XX100.00774370686354776525645565254646087590243775,000$
7Taylor Ward16X100.00767676607680865650565163484444082580273775,000$
8Ryder Rolston (R)63XXX100.00807297607264675468475665534444087560233850,000$
9Ryan McAllister (R)76X100.00726686596658585974565862554444087560233750,000$
10Nathan Legare (R)32X100.007274676574717651504256605344440885502411,000,000$
11Ben McCartney62X100.00666764646760625550584858464444088540231750,000$
12Logan Stanley64X100.00839961738763486325434880255960068640271900,000$
13Daemon Hunt (R)48X100.006942996771577762254747732545450886102321,000,000$
14Matthew Robertson46X100.007877796577737950254341633944440845902411,000,000$
15Jett Woo3X100.00697360657376825325494359414444088580242775,000$
16Valtteri Pulli (R)77X100.0083808964806266462536416439444408157X0242750,000$
17Nick Cicek (R)59X100.00747670657669754725374160394545087570251750,000$
18Cameron Gaunce33X100.00707169657159634725384058384444074540351750,000$
Rayé
1Colton Dach (R)28XX100.007675785975606158735458645544440725702231,000,000$
2Jon-Randall Avon (R)85X100.00746790606765685366475461514444062550213850,000$
3Jaxsen Wiebe (R)83XX100.00747572597553545164415661534444020520233750,000$
4Ryan Hofer (R)86X100.00767089657056594961454761454444020520233850,000$
5Jermaine Loewen0XX100.00808177658155584750444463424444019520271750,000$
6Mason Primeau57X100.007572816472545648604446614444440205202300$
7Noah Philp0XX100.00505050505050505050505050505050040480262750,000$
8Tyrel Bauer (R)52X100.00727760657763684525344058384444066550232750,000$
MOYENNE D’ÉQUIPE100.0074687964726268554949506444474707157
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
1Oskari Salminen35100.004652658342455053454630444405451X0252750,000$
2Gage Alexander (R)79100.0050505050505050505050505050046490232750,000$
Rayé
1Chris Driedger60100.0060435484646464676968305253082630313795,000$
2Anson Thornton (R)0100.00594759736466586468663044440826002112,995,000$
3Mitchell Weeks70100.0050505050505050505050505050039490242750,000$
MOYENNE D’ÉQUIPE100.005348566854555457565638484806154
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Andre Tourigny75767575817875CAN501250,000$


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
1Brock McGinnManitoba Moose (WPG)LW/RW1311112-10017265513381.82%925019.260332190001230066.67%15187000.9600000001
2David GustafssonManitoba Moose (WPG)C/LW1310212-30091959153216.95%924919.183036180000222045.24%4294010.9600000200
3Philippe MailletManitoba Moose (WPG)C13571211010222245203811.11%422117.04224316000000057.01%221144001.0800002000
4Byron FroeseManitoba Moose (WPG)C/RW1348121121030233582311.43%1425019.271233170000211054.12%25554000.9600011010
5Adam BeckmanManitoba Moose (WPG)C/LW1337103003011408247.50%517213.2900000000000228.57%7153001.1600000021
6Curtis McKenzieManitoba Moose (WPG)C/LW/RW1364102291517114392413.95%419314.86000001012211120.00%553001.0400300000
7Taylor WardManitoba Moose (WPG)RW133692231521194311186.98%421916.89044418000001057.14%774000.8200021110
8Ryder RolstonManitoba Moose (WPG)C/LW/RW1344831515171430101913.33%222317.22000218000000046.15%1332000.7100003000
9Ryan McAllisterManitoba Moose (WPG)C133470001117329159.38%213110.1200000000001050.88%5760001.0600000110
10Matthew RobertsonManitoba Moose (WPG)D1315622115231821744.76%2230923.80000218000020100%015000.3900021001
11Colton DachManitoba Moose (WPG)C/LW12235310101119282147.14%216513.8000001000020155.83%12046000.6000011100
12Logan StanleyManitoba Moose (WPG)D1005512210251817870%1121921.9701111401108000%0610000.4600101001
13Ben McCartneyManitoba Moose (WPG)LW1313400015102611103.85%415912.2700002000060042.11%1953000.5000000011
14Jett WooManitoba Moose (WPG)D131341140262119685.26%1630823.76112218000011000%035000.2600000001
15Daemon HuntManitoba Moose (WPG)D130446001029165100%1731023.91011019000024000%0612000.2600000000
16Nathan LegareManitoba Moose (WPG)RW13303112101513111927.27%213810.6500000000000042.86%730000.4300110011
17Valtteri PulliManitoba Moose (WPG)D130220121023209240%820215.590000100006000%036000.2000020000
18Jon-Randall AvonManitoba Moose (WPG)C1000000000000%000.520000000000000%00000000000000
19Nick CicekManitoba Moose (WPG)D13000-2161011167220%1020215.5900000000022000%02500000002000
20Tyrel BauerManitoba Moose (WPG)D3000260442000%05217.480000200015000%00100000000000
21Cameron GaunceManitoba Moose (WPG)D2000-200000000%094.750000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne2364778125202021303373305381472998.74%145399216.92714212518711241967453.78%76811584010.63005912577
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
1Anson ThorntonManitoba Moose (WPG)83300.9093.134030021230138020073100
2Chris DriedgerManitoba Moose (WPG)32100.9073.43175001010861000030000
3Gage AlexanderManitoba Moose (WPG)52110.9172.3822700910966010036100
Statistiques d’équipe totales ou en moyenne167510.9112.988060040447265030139200


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
Adam BeckmanManitoba Moose (WPG)C/LW242001-05-10CANNo167 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm775,000$77,500$6,327$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Anson ThorntonManitoba Moose (WPG)G212003-06-28CANYes180 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm2,995,000$299,500$24,449$No---------------------------Lien / Lien NHL
Ben McCartneyManitoba Moose (WPG)LW232001-07-13CANNo182 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Brock McGinnManitoba Moose (WPG)LW/RW311994-02-01CANNo189 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------750,000$--------No--------Lien / Lien NHL
Byron FroeseManitoba Moose (WPG)C/RW341991-03-12CANNo189 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Cameron GaunceManitoba Moose (WPG)D351990-03-19CANNo194 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Chris DriedgerManitoba Moose (WPG)G311994-05-18CANNo205 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm795,000$79,500$6,490$No795,000$795,000$-------795,000$795,000$-------NoNo-------Lien / Lien NHL
Colton DachManitoba Moose (WPG)C/LW222003-01-04CANYes196 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,000,000$100,000$8,163$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Curtis McKenzieManitoba Moose (WPG)C/LW/RW341991-02-22CANNo205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Daemon HuntManitoba Moose (WPG)D232002-05-15CANYes198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$8,163$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
David GustafssonManitoba Moose (WPG)C/LW252000-04-11SWENo196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$77,500$6,327$No775,000$--------775,000$--------No--------Lien / Lien NHL
Gage AlexanderManitoba Moose (WPG)G232002-02-07CANYes205 Lbs6 ft6NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------650,000$--------No--------Lien / Lien NHL
Jaxsen WiebeManitoba Moose (WPG)C/RW232002-05-16CANYes209 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$75,000$6,122$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Jermaine LoewenManitoba Moose (WPG)LW/RW271998-01-18CANNo216 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Jett WooManitoba Moose (WPG)D242000-07-27CANNo200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm775,000$77,500$6,327$No775,000$--------775,000$--------No--------Lien / Lien NHL
Jon-Randall AvonManitoba Moose (WPG)C212003-07-04CANYes180 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm850,000$85,000$6,939$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Logan StanleyManitoba Moose (WPG)D271998-05-25CANNo216 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm900,000$90,000$7,347$No---------------------------Lien / Lien NHL
Mason PrimeauManitoba Moose (WPG)C232001-07-28CANNo183 Lbs6 ft5NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Matthew RobertsonManitoba Moose (WPG)D242001-03-09CANNo202 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$8,163$No---------------------------Lien / Lien NHL
Mitchell WeeksManitoba Moose (WPG)G242001-06-22CANNo187 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nathan LegareManitoba Moose (WPG)RW242001-01-11CANYes205 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$8,163$No---------------------------Lien / Lien NHL
Nick CicekManitoba Moose (WPG)D252000-05-29CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Noah PhilpManitoba Moose (WPG)C/RW261998-08-31CANNo198 Lbs5 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------750,000$--------No--------Lien / Lien NHL
Oskari SalminenManitoba Moose (WPG)G251999-09-22FINNo201 Lbs6 ft4NoYesN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------450,000$--------No--------Lien / Lien NHL
Philippe MailletManitoba Moose (WPG)C321992-11-07CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$6,122$No---------------------------Lien / Lien NHL
Ryan HoferManitoba Moose (WPG)C232002-05-10CANYes181 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm850,000$85,000$6,939$No850,000$850,000$-------850,000$850,000$-------NoNo-------Lien / Lien NHL
Ryan McAllisterManitoba Moose (WPG)C232001-12-19CANYes185 Lbs5 ft10NoNoN/ANoNo3FalseFalsePro & Farm750,000$75,000$6,122$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Ryder RolstonManitoba Moose (WPG)C/LW/RW232001-10-31USAYes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm850,000$85,000$6,939$No850,000$850,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Taylor WardManitoba Moose (WPG)RW271998-03-31CANNo207 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm775,000$77,500$6,327$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien / Lien NHL
Tyrel BauerManitoba Moose (WPG)D232002-03-23CANYes206 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------750,000$--------No--------Lien / Lien NHL
Valtteri PulliManitoba Moose (WPG)D242001-03-13FINYes209 Lbs6 ft6NoYesN/ANoNo2FalseFalsePro & Farm750,000$75,000$6,122$No750,000$--------750,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3125.61196 Lbs6 ft21.87849,677$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David GustafssonByron FroeseBrock McGinn30014
2Ryder RolstonPhilippe MailletTaylor Ward30014
3Adam BeckmanByron FroeseCurtis McKenzie25014
4Ben McCartneyRyan McAllisterNathan Legare15014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntLogan Stanley40014
2Matthew RobertsonJett Woo40014
3Nick CicekValtteri Pulli10122
4Nick CicekCameron Gaunce10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1David GustafssonByron FroeseBrock McGinn50122
2Ryder RolstonPhilippe MailletTaylor Ward50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntLogan Stanley50014
2Matthew RobertsonJett Woo50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonBrock McGinn50041
2Byron FroeseCurtis McKenzie50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntLogan Stanley50041
2Matthew RobertsonNick Cicek50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1David Gustafsson50041Daemon HuntLogan Stanley50041
2Byron Froese50041Matthew RobertsonNick Cicek50041
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1David GustafssonBrock McGinn50014
2Philippe MailletRyder Rolston50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Daemon HuntLogan Stanley50014
2Matthew RobertsonJett Woo50014
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David GustafssonPhilippe MailletCurtis McKenzieDaemon HuntLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
David GustafssonByron FroeseBrock McGinnDaemon HuntLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
David Gustafsson, Ben McCartney, Nathan LegareBen McCartney, Ryan McAllisterBen McCartney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cameron Gaunce, Valtteri Pulli, Jett WooLogan StanleyNick Cicek, Jett Woo
Tirs de pénalité
Curtis McKenzie, Brock McGinn, Philippe Maillet, Ryan McAllister, Ryder Rolston
Gardien
#1 : Gage Alexander, #2 : Oskari Salminen


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
1Texas Stars7340000025250413000001316-332100000129360.4292542672016171222951681851642123575661919222.22%18477.78%017028659.44%12726847.39%11621454.21%279153271132258124
2Utica Comets64200000221843300000015963120000079-280.667223658101617122243168185164212157013614616531.25%13376.92%117028659.44%12726847.39%11621454.21%279153271132258124
Total1376000004743474300000282536330000019181140.53847781253016171225381681851642145014520233725728.00%31777.42%117028659.44%12726847.39%11621454.21%279153271132258124
_Since Last GM Reset1376000004743474300000282536330000019181140.53847781253016171225381681851642145014520233725728.00%31777.42%117028659.44%12726847.39%11621454.21%279153271132258124
_Vs Conference1376000004743474300000282536330000019181140.53847781253016171225381681851642145014520233725728.00%31777.42%117028659.44%12726847.39%11621454.21%279153271132258124

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1314OTL1477812553845014520233730
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
137600004743
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74300002825
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001918
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
25728.00%31777.42%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
168185164211617122
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
17028659.44%12726847.39%11621454.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
279153271132258124


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
25Utica Comets3Manitoba Moose4WXSommaire du match
413Utica Comets3Manitoba Moose6WSommaire du match
621Manitoba Moose2Utica Comets4LSommaire du match
829Manitoba Moose2Utica Comets4LSommaire du match
1037Utica Comets3Manitoba Moose5WSommaire du match
1245Manitoba Moose3Utica Comets1WSommaire du match
1659Texas Stars6Manitoba Moose4LSommaire du match
1863Texas Stars5Manitoba Moose2LSommaire du match
2067Manitoba Moose3Texas Stars2WXSommaire du match
2271Manitoba Moose6Texas Stars2WSommaire du match
2475Texas Stars1Manitoba Moose4WSommaire du match
2679Manitoba Moose3Texas Stars5LSommaire du match
2883Texas Stars4Manitoba Moose3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance14,0006,791
Assistance PCT100.00%97.01%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2970 - 99.00% 139,164$974,148$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,634,000$ 2,579,000$ 250,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 4 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
1Byron Froese2871131712848030844147077914.51%132489817.0737589576551030201058.63%21.16412
2David Gustafsson302114141255887925738286513.18%112467915.5024376157000625652.52%51.0907
3Josh Leivo14971941652412523714847914.82%41253617.033146775810128444.59%21.30922
4Luke Philp19466851517811220022847613.87%48274414.151619354012338756.20%11.1048
5Adam Beckman2244578123481142731785268.56%56306813.70411151400009139.57%00.80414

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
1Laurent Brossoit114881670.8892.7367210430627551617710.73330
2Chris Driedger6250930.9262.0736244312516871013420.3758
3Joel Hofer57341290.9042.543397021441501842320.60025
4Michael Hutchinson2013400.8923.0010000150462293120.73719
5Anson Thornton2013300.9252.21106021395183091000

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
Saison régulière
20207652120327032319612738275031201559065382570015016810662126323505828267814491202680873958840411884633115119391906936.32%1384765.94%3880157655.84%631118953.07%599109854.55%163689814077501552738
2022764713026713482291193820701451172117553827601220176112641193485599072093125121142672874981811361889585161919992338235.19%1674970.66%6911158857.37%740126958.31%707122357.81%166290814087481538745
202376381801568281213683824800222161108533814100134612010515103281454735328391100172829981924907662083682194320202097535.89%1715468.42%5929170254.58%735137053.65%661112858.60%168592013967341552767
20247860120211233516816739333001111787810039279020011579067129335554889248712711853203103910991057152207719155819942399138.08%1294366.67%11044186555.98%774142054.51%628114554.85%168293014697641544743
Total Saison régulière306197550814211112878064811531042304810466639327315393320461176214132084771287207233599123414874305611384376739623615158806326196271795287131736.39%60519368.10%153764673155.92%2880524854.88%2595459456.49%666636585681299861862993
Séries éliminatoires
202413760000047434743000002825363300000191811447781253016171225381681851642145014520233725728.00%31777.42%117028659.44%12726847.39%11621454.21%279153271132258124
Total Séries éliminatoires13760000047434743000002825363300000191811447781253016171225381681851642145014520233725728.00%31777.42%117028659.44%12726847.39%11621454.21%279153271132258124

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
1Byron Froese13481211230233511.43%1425019.27123300001054.12%00.9600
2Brock McGinn1311112-101726551.82%925019.26033200010066.67%00.9600
3Philippe Maillet13571211022224511.11%422117.04224300000057.01%01.0800
4David Gustafsson1310212-309195916.95%924919.18303600002045.24%10.9600
5Curtis McKenzie13641022917114313.95%419314.86000010121120.00%01.0400

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
1Anson Thornton83300.9093.1340300212301380200
2Chris Driedger32100.9073.431750010108610000
3Gage Alexander52110.9172.38227009109660100