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Moose
GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 6 | GA: 8 | PP%: 21.43% | PK%: 83.33%
DG: Luca | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #55 vs Senators

Centre de jeu
Moose
1-2-0, 2pts
2
FINAL
3 Grisards
3-0-1, 7pts
Team Stats
W1SéquenceOTL1
0-1-0Fiche domicile2-0-0
1-1-0Fiche domicile1-0-1
1-2-0Derniers 10 matchs3-0-1
2.00Buts par match 4.25
2.67Buts contre par match 3.75
21.43%Pourcentage en avantage numérique41.67%
83.33%Pourcentage en désavantage numérique60.00%
Moose
1-2-0, 2pts
3
FINAL
2 Americans
2-1-0, 4pts
Team Stats
W1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-0-0
1-2-0Derniers 10 matchs2-1-0
2.00Buts par match 4.67
2.67Buts contre par match 3.67
21.43%Pourcentage en avantage numérique41.67%
83.33%Pourcentage en désavantage numérique76.47%
Senators
0-1-1, 1pts
Jour 8
Moose
1-2-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-1Fiche domicile0-1-0
0-0-0Fiche visiteur1-1-0
0-1-110 derniers matchs1-2-0
2.50Buts par match 2.00
4.50Buts contre par match 2.00
30.00%Pourcentage en avantage numérique21.43%
83.33%Pourcentage en désavantage numérique83.33%
Whalers
2-2-0, 4pts
Jour 10
Moose
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceW1
1-1-0Fiche domicile0-1-0
1-1-0Fiche visiteur1-1-0
2-2-010 derniers matchs1-2-0
3.50Buts par match 2.00
3.25Buts contre par match 2.00
28.57%Pourcentage en avantage numérique21.43%
57.14%Pourcentage en désavantage numérique83.33%
Moose
1-2-0, 2pts
Jour 12
Bears
2-1-0, 4pts
Statistiques d’équipe
W1SéquenceW1
0-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur0-1-0
1-2-010 derniers matchs2-1-0
2.00Buts par match 4.67
2.67Buts contre par match 4.67
21.43%Pourcentage en avantage numérique80.00%
83.33%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Justin Brazeau
1
Passes
Justin Brazeau
2
Points
Justin Brazeau
3
Plus/Moins
Ilya Fedotov
1
Victoires
Arturs Silovs
1
Pourcentage d’arrêts
Arturs Silovs
0.923

Statistiques d’équipe
Buts pour
6
2.00 GFG
Tirs pour
61
20.33 Avg
Pourcentage en avantage numérique
21.4%
3 GF
Début de zone offensive
32.9%
Buts contre
8
2.67 GAA
Tirs contre
104
34.67 Avg
Pourcentage en désavantage numérique
83.3%%
1 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralLuca
EntraîneurTravis Green
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,523
Billets de saison800


Informations de la formation

Équipe Pro40
Équipe Mineure21
Limite contact 61 / 65
Espoirs19


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
1Justin BrazeauXX100.0073509376867893726167696965576409100261650,000$
2Max SassonXXX100.00665095766977917164676867654657096002421,100,000$
3Mitchell RussellXXX100.0060606060607070606060606060465809700231792,750$
4Axel Jonsson FjallbyXX100.00606060606070706060606060605463096002611,155,000$
5Max DomiXXX100.0064568582788192757573686765586308800292705,000$
6Tyce ThompsonX100.0060606060607070606060606060495709600252909,563$
7Calvin ThurkaufXXX100.0060606060607070606060606060596609700271650,000$
8Jordan FrascaX100.0060606060607070606060606060465809400231729,750$
9Ethan CardwellXX100.0063508971687892666268647365405509700221825,000$
10Jacob QuillanXXX100.0062509069777591636163636765405509700222682,500$
11Arttu HyryXXX100.0060509470817693657565656865405509600232834,750$
12Dylan Duke (R)XX100.0070508870677590636163637065485509600212975,000$
13Jett WooX100.00606060606070706060606060605862097002411,447,031$
14Oliver KylingtonX100.0061509183707975752570686965616609700271650,000$
15Filip RoosX100.0060606060607070606060606060485509700251777,263$
16Marshall WarrenX100.00606060606070706060606060604055096002321,023,750$
17Michael BenningX100.0060606060607070606060606060405509600221975,000$
18Stian Solberg (R)X100.00606060606070706060606060604455096001931,500,000$
Rayé
1Luke HaymesXXX100.0060606060607070606060606060405509600212655,000$
2Theo RochetteX100.0060606060607070606060606060435609700222682,500$
3Artem ShlaineXXX100.0060606060607070606060606060405509600221825,000$
4Dylan PetersonXXX100.0060606060607070606060606060405509501221975,000$
5Ilya FedotovXX100.0060606060607070606060606060405509701212975,000$
6Andrew CristallXX100.00606060606070706060606060604055097011921,500,000$
7Joey Muldowney (R)X100.0060606060607070606060606060445509700203700,000$
8Tuomas Uronen (R)XXX100.0060606060607070606060606060445509600193825,000$
9Angus MacDonell (R)XXX100.0060606060607070606060606060485509600193700,000$
10Melvin Fernstrom (R)X100.0060606060607070606060606060425509600183975,000$
11Christian KyrouX100.00606060606070706060606060604055097002111,250,000$
12Jiri TichacekX100.0060606060607070606060606060405509600211650,000$
13Tristan BertucciX100.0060606060607070606060606060405509601192975,000$
14Artem DudaX100.0060606060607070606060606060405509701202825,000$
15Noah ChadwickX100.0060606060607070606060606060405509601192650,000$
16Abram Wiebe (R)X100.0060606060607070606060606060445509700212650,000$
17Leon Muggli (R)X100.00606060606070706060606060604455096001831,250,000$
MOYENNE D’ÉQUIPE100.006158676363727462606261626145570960
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
1Arturs Silovs100.006174698372616461595969496109700232850,000$
2Olivier Rodrigue100.0060707060606060606060605563098002411,447,031$
Rayé
1Isak Posch100.006070706060606060606060405509800221655,000$
2Jesper Wallstedt100.0060707060606060606060604755097002221,575,000$
3Carl Lindbom100.006070706060606060606060405509800211700,000$
MOYENNE D’ÉQUIPE100.00607170656260616060606246580980
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Travis Green8884809074761CAN543600,000$


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
1Justin BrazeauMoose (WPG)LW/RW31230558460316.67%06321.11011411000030054.00%5010000.9500010010
2Ethan CardwellMoose (WPG)LW/RW31230003586412.50%06220.75011212000040060.00%504000.9600000000
3Oliver KylingtonMoose (WPG)D3022000279230%26822.9000011200004000%022000.5800000000
4Ilya FedotovMoose (WPG)LW/RW31121754320350.00%14113.9401104000000023.08%1310000.9600001000
5Andrew CristallMoose (WPG)LW/RW3022-595762240%56722.39022012000020033.33%600000.6000001000
6Mitchell RussellMoose (WPG)C/LW/RW3011075534200%25217.3600002000020055.56%900000.3800001000
7Calvin ThurkaufMoose (WPG)C/LW/RW3101-4004620150.00%25518.34101111000010021.43%1402000.3600000001
8Filip RoosMoose (WPG)D310102048101100.00%25719.3210111200000100%020000.3500000000
9Jacob QuillanMoose (WPG)C/LW/RW3101-2001582612.50%15217.58101211000000055.56%1811000.3800000000
10Dylan PetersonMoose (WPG)C/LW/RW301111515249000%03712.4700001000000050.00%200000.5300111000
11Abram WiebeMoose (WPG)D3011000440000%15719.1101101200000000%003000.3500000000
12Jett WooMoose (WPG)D3000-100761200%56722.3500001200004000%00000000000000
13Max DomiMoose (WPG)C/LW/RW3000-200358360%15016.7700006000040043.33%303100000000000
14Jordan FrascaMoose (WPG)C3000-175220010%33812.8700001000000050.00%20300000010000
15Theo RochetteMoose (WPG)C3000000100000%051.870000000000000%00000000000000
16Christian KyrouMoose (WPG)D3000-300010010%65518.510000100004000%00100000000000
17Artem DudaMoose (WPG)D3000-400341000%35317.780000000004000%00100000000000
18Joey MuldowneyMoose (WPG)RW3000000010000%020.950000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne5461218-20524060746119339.84%3488916.46369111270000371045.64%1491018000.4000134011
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
1Arturs SilovsMoose (WPG)31200.9232.6817900810465000030100
Statistiques d’équipe totales ou en moyenne31200.9232.681790081046500030100


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 Salaire restantPlafond 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
Abram WiebeMoose (WPG)D212003-08-28CANYes187 Lbs6 ft0NoNoProspectNoNo22025-08-30FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Andrew CristallMoose (WPG)LW/RW192005-02-04CANNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Angus MacDonellMoose (WPG)C/LW/RW192005-05-11CANYes185 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Artem DudaMoose (WPG)D202004-04-08RUSNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Artem ShlaineMoose (WPG)C/LW/RW222002-03-07USANo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Arttu HyryMoose (WPG)C/LW/RW232001-04-11FINNo214 Lbs6 ft3NoNoFree AgentNoNo22025-09-08FalseFalsePro & Farm834,750$803,669$83,475$80,367$No834,750$--------834,750$--------No--------
Arturs SilovsMoose (WPG)G232001-03-22LVANo203 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm850,000$818,351$85,000$81,835$No850,000$--------850,000$--------No--------
Axel Jonsson FjallbyMoose (WPG)LW/RW261998-02-10SWENo189 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,155,000$1,111,995$115,500$111,199$No---------------------------
Calvin ThurkaufMoose (WPG)C/LW/RW271997-06-27SUINo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Carl LindbomMoose (WPG)G212003-05-20SWENo185 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Christian KyrouMoose (WPG)D212003-09-16CANNo178 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No---------------------------
Dylan DukeMoose (WPG)C/LW212003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Dylan PetersonMoose (WPG)C/LW/RW222002-01-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Ethan CardwellMoose (WPG)LW/RW222002-08-30CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$794,282$82,500$79,428$No---------------------------
Filip RoosMoose (WPG)D251999-01-05SWENo190 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm777,263$748,322$77,726$74,832$No---------------------------
Ilya FedotovMoose (WPG)LW/RW212003-03-19RUSNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Isak PoschMoose (WPG)G222002-01-31SWENo209 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm655,000$630,612$65,500$63,061$No---------------------------
Jacob QuillanMoose (WPG)C/LW/RW222002-02-02CANNo204 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Jesper WallstedtMoose (WPG)G222002-11-14SWENo214 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$1,516,356$157,500$151,636$No1,575,000$--------1,575,000$--------No--------
Jett WooMoose (WPG)D242000-07-27CANNo203 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$1,393,152$144,703$139,315$No---------------------------
Jiri TichacekMoose (WPG)D212003-01-30CZENo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Joey MuldowneyMoose (WPG)RW202004-06-05USAYes161 Lbs5 ft7NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$673,936$70,000$67,394$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Jordan FrascaMoose (WPG)C232001-07-05CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm729,750$702,578$72,975$70,258$No---------------------------
Justin BrazeauMoose (WPG)LW/RW261998-02-02CANNo227 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Leon MuggliMoose (WPG)D182006-07-09SUIYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Luke HaymesMoose (WPG)C/LW/RW212003-07-28CANNo192 Lbs6 ft1NoNoFree AgentNoNo22025-06-11FalseFalsePro & Farm655,000$630,612$65,500$63,061$No655,000$--------655,000$--------No--------
Marshall WarrenMoose (WPG)D232001-04-20USANo183 Lbs6 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No1,023,750$--------1,023,750$--------No--------
Max DomiMoose (WPG)C/LW/RW291995-03-02CANNo209 Lbs5 ft10NoNoFree AgentNoNo22025-06-09FalseFalsePro & Farm705,000$678,750$70,500$67,875$No705,000$--------705,000$--------No--------
Max SassonMoose (WPG)C/LW/RW242000-09-05USANo181 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,100,000$1,059,043$110,000$105,904$No1,100,000$--------1,100,000$--------No--------
Melvin FernstromMoose (WPG)RW182006-02-28SWEYes190 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Michael BenningMoose (WPG)D222002-01-05CANNo175 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm975,000$938,697$97,500$93,870$No---------------------------
Mitchell RussellMoose (WPG)C/LW/RW232001-03-06CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm792,750$763,233$79,275$76,323$No---------------------------
Noah ChadwickMoose (WPG)D192005-05-10CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Oliver Kylington (contrat à 1 volet)Moose (WPG)D271997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Olivier RodrigueMoose (WPG)G242000-07-06CANNo159 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$1,393,152$144,703$139,315$No---------------------------
Stian SolbergMoose (WPG)D192005-12-29NORYes205 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Theo RochetteMoose (WPG)C222002-02-20SUINo161 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No682,500$--------682,500$--------No--------
Tristan BertucciMoose (WPG)D192005-07-12CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Tuomas UronenMoose (WPG)C/LW/RW192005-05-19FINYes190 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Tyce ThompsonMoose (WPG)C251999-07-12CANNo175 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm909,563$875,696$90,956$87,569$No909,563$--------909,563$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4022.13188 Lbs6 ft21.73916,797$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mitchell RussellJustin BrazeauEthan Cardwell28014
2Calvin ThurkaufJacob QuillanMax Domi28014
3Arttu HyryMax SassonDylan Duke25023
4Ethan CardwellJustin BrazeauJordan Frasca19032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonJett Woo34023
2Marshall WarrenFilip Roos33032
3Stian SolbergMichael Benning33032
4Oliver KylingtonJett Woo0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan CardwellJustin BrazeauJacob Quillan50014
2Jordan FrascaCalvin ThurkaufMitchell Russell50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonJett Woo50014
2Filip RoosMichael Benning50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Max DomiJordan Frasca50041
2Justin BrazeauEthan Cardwell50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jett WooFilip Roos50050
2Oliver KylingtonStian Solberg50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Brazeau50041Oliver KylingtonJett Woo50050
2Ethan Cardwell50041Filip RoosStian Solberg50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mitchell RussellMax Domi50023
2Ethan CardwellJustin Brazeau50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonJett Woo50023
2Marshall WarrenFilip Roos50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BrazeauMax DomiEthan CardwellOliver KylingtonJett Woo
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin BrazeauMax DomiEthan CardwellOliver KylingtonJett Woo
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Cardwell, Justin Brazeau, Jordan FrascaEthan Cardwell, Mitchell RussellJustin Brazeau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Kylington, Jett Woo, Filip RoosOliver KylingtonJett Woo, Oliver Kylington
Tirs de pénalité
Ethan Cardwell, Jordan Frasca, Mitchell Russell, Justin Brazeau, Jacob Quillan
Gardien
#1 : Arturs Silovs, #2 : Olivier Rodrigue


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
1Americans11000000321000000000001100000032121.000369000420181122280411817228225.00%10100.00%0204940.82%286145.90%203951.28%532264306133
2Grisards1010000023-1000000000001010000023-100.00024600042028112228027814233133.33%20100.00%0204940.82%286145.90%203951.28%532264306133
3Whalers1010000013-21010000013-20000000000000.0001230004201511222803682115300.00%3166.67%0204940.82%286145.90%203951.28%532264306133
Total3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Since Last GM Reset3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Vs Conference3120000068-21010000013-22110000055020.3336121800042061112228010434526014321.43%6183.33%0204940.82%286145.90%203951.28%532264306133
_Vs Division1120000023-1001000000001110000023-121.00024600042028112228027814233133.33%20100.00%0204940.82%286145.90%203951.28%532264306133

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
32W1612186110434526000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
312000068
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000013
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000055
Derniers 10 matchs
WLOTWOTL SOWSOL
120000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14321.43%6183.33%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
11222800420
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
204940.82%286145.90%203951.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
532264306133


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
210Whalers3Moose1LSommaire du match
323Moose2Grisards3LSommaire du match
424Moose3Americans2WSommaire du match
855Senators-Moose-
1073Whalers-Moose-
1287Moose-Bears-
1498Moose-Wolves-
16116Norsemen-Moose-
18135Moose-Senators-
20145Americans-Moose-
22160Moose-Norsemen-
24173Moose-Americans-
26186Phantoms-Moose-
29207Bulldogs-Moose-
31223Moose-Titans-
34240Americans-Moose-
36253Moose-Grisards-
38265Moose-Phantoms-
40279Penguins-Moose-
42293Moose-Redhawks-
44304Moose-Senators-
46317Whalers-Moose-
48338Moose-Silver Knights-
50348Roadrunners-Moose-
52367Moose-Wolf Pack-
54381Bears-Moose-
56397Moose-Bills-
58412Penguins-Moose-
60424Moose-Phantoms-
62444Phantoms-Moose-
66463Moose-Americans-
67476Redhawks-Moose-
72504Gulls-Moose-
74521Moose-Whalers-
76535Rocket-Moose-
78544Moose-Crunch-
80566Admirals-Moose-
82576Moose-White Wolves-
84586Moose-Whalers-
85601Blossom Bytes-Moose-
89625Moose-Americans-
90635Blossom Bytes-Moose-
93658Moose-Wolf Pack-
94666Admirals-Moose-
97684Moose-Blossom Bytes-
99698Phantoms-Moose-
103727Bills-Moose-
105742Moose-Rams-
107758Rams-Moose-
110777Moose-Rams-
112790Wolves-Moose-
114808Moose-Blood Miners-
116822Reign-Moose-
118838Moose-Admirals-
120853Moose-Norsemen-
121860Americans-Moose-
124884Moose-Griffins-
125892Eagles-Moose-
128918Norsemen-Moose-
129924Moose-Penguins-
133950Norsemen-Moose-
135962Moose-Gulls-
138980Bulldogs-Moose-
1411008Titans-Moose-
1421019Moose-Titans-
1461041Grisards-Moose-
1471054Moose-Bears-
1491066Moose-Wolves-
1511082Grisards-Moose-
1541107Saints-Moose-
1561119Moose-Gorillas-
1571131Moose-Wolves-
1591141Gulls-Moose-
1611153Moose-Octopus-
1641176Wolf Pack-Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681200Whalers-Moose-
1721228Wolves-Moose-
1741236Moose-Mountaineers-
1771258Senators-Moose-
1791266Moose-Mountaineers-
1831287Senators-Moose-
1871311Moose-Grisards-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3512
Assistance2,0235,500
Assistance PCT80.92%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 7523 - 94.04% 164,166$164,166$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
156,118$ 3,602,188$ 3,602,188$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
22,352$ 156,118$ 38 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,566,640$ 181 22,352$ 4,045,712$




Moose Leaders statistiques des joueurs (saison régulière)

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

Moose Leaders des statistiques des gardiens (saison régulière)

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

Moose Statistiques de l'Équipe de Carrière

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

Moose Leaders statistiques des joueurs (séries éliminatoires)

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

Moose Leaders des statistiques des gardiens (séries éliminatoires)

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