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Connexion

Moose
GP: 62 | W: 42 | L: 16 | OTL: 4 | P: 88
GF: 220 | GA: 173 | PP%: 28.21% | PK%: 65.26%
DG: Luca | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #980 vs Bulldogs

Centre de jeu
Norsemen
32-20-9, 73pts
5
FINAL
6 Moose
42-16-4, 88pts
Team Stats
W1SéquenceW2
16-10-4Fiche domicile20-8-2
16-10-5Fiche domicile22-8-2
4-5-1Derniers 10 matchs7-2-1
3.95Buts par match 3.55
3.61Buts contre par match 2.79
29.62%Pourcentage en avantage numérique28.21%
71.85%Pourcentage en désavantage numérique65.26%
Moose
42-16-4, 88pts
5
FINAL
2 Gulls
33-22-2, 68pts
Team Stats
W2SéquenceL2
20-8-2Fiche domicile15-15-1
22-8-2Fiche domicile18-7-1
7-2-1Derniers 10 matchs4-6-0
3.55Buts par match 3.54
2.79Buts contre par match 3.60
28.21%Pourcentage en avantage numérique23.11%
65.26%Pourcentage en désavantage numérique69.92%
Bulldogs
33-25-4, 70pts
Jour 138
Moose
42-16-4, 88pts
Statistiques d’équipe
W2SéquenceW2
15-15-0Fiche domicile20-8-2
18-10-4Fiche visiteur22-8-2
3-6-110 derniers matchs7-2-1
3.42Buts par match 3.55
3.27Buts contre par match 3.55
34.59%Pourcentage en avantage numérique28.21%
72.63%Pourcentage en désavantage numérique65.26%
Titans
27-31-4, 58pts
Jour 141
Moose
42-16-4, 88pts
Statistiques d’équipe
L6SéquenceW2
11-15-4Fiche domicile20-8-2
16-16-0Fiche visiteur22-8-2
2-7-110 derniers matchs7-2-1
3.34Buts par match 3.55
3.71Buts contre par match 3.55
27.34%Pourcentage en avantage numérique28.21%
67.55%Pourcentage en désavantage numérique65.26%
Moose
42-16-4, 88pts
Jour 142
Titans
27-31-4, 58pts
Statistiques d’équipe
W2SéquenceL6
20-8-2Fiche domicile11-15-4
22-8-2Fiche visiteur16-16-0
7-2-110 derniers matchs2-7-1
3.55Buts par match 3.34
2.79Buts contre par match 3.34
28.21%Pourcentage en avantage numérique27.34%
65.26%Pourcentage en désavantage numérique67.55%
Meneurs d'équipe
Buts
Ethan Cardwell
33
Passes
Max Sasson
47
Points
Max Sasson
76
Plus/Moins
Christian Kyrou
11
Victoires
Olivier Rodrigue
26
Pourcentage d’arrêts
Jesper Wallstedt
0.908

Statistiques d’équipe
Buts pour
220
3.55 GFG
Tirs pour
1655
26.69 Avg
Pourcentage en avantage numérique
28.2%
77 GF
Début de zone offensive
36.7%
Buts contre
173
2.79 GAA
Tirs contre
1868
30.13 Avg
Pourcentage en désavantage numérique
65.3%%
33 GA
Début de la zone défensive
36.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,000
Assistance7,670
Billets de saison800


Informations de la formation

Équipe Pro37
Équipe Mineure25
Limite contact 62 / 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 BrazeauXX100.0073509376867893726167696965576409000261650,000$
2Max SassonXXX100.00665095766977917164676867654657091002421,100,000$
3Mitchell RussellXXX100.0060606060607070606060606060465806100231792,750$
4Max DomiXXX100.0064568582788192757573686765586308600292705,000$
5Calvin ThurkaufXXX100.0060606060607070606060606060596608800271650,000$
6Theo RochetteX100.0060606060607070606060606060435604900222682,500$
7Ethan CardwellXX100.0063508971687892666268647365405508300221825,000$
8Jacob QuillanXXX100.0062509069777591636163636765405509000222682,500$
9Arttu HyryXXX100.0060509470817693657565656865405509000232834,750$
10Dylan Duke (R)XX100.0070508870677590636163637065485509000212975,000$
11Joey Muldowney (R)X100.0060606060607070606060606060445507700203700,000$
12Tuomas Uronen (R)XXX100.0060606060607070606060606060445507200193825,000$
13Oliver KylingtonX100.0061509183707975752570686965616608900271650,000$
14Filip RoosX100.0060606060607070606060606060485506100251777,263$
15Marshall WarrenX100.00606060606070706060606060604055070002321,023,750$
16Michael BenningX100.0060606060607070606060606060405508100221975,000$
17Christian KyrouX100.00606060606070706060606060604055077002111,250,000$
18Abram Wiebe (R)X100.0060606060607070606060606060445507200212650,000$
Rayé
1Axel Jonsson FjallbyXX100.00606060606070706060606060605463055002611,155,000$
2Luke HaymesXXX100.0060606060607070606060606060405504900212655,000$
3Tyce ThompsonX100.0060606060607070606060606060495704900252909,563$
4Jordan FrascaX100.0060606060607070606060606060465805200231729,750$
5Artem ShlaineXXX100.0060606060607070606060606060405506700221825,000$
6Dylan PetersonXXX100.0060606060607070606060606060405503801221975,000$
7Ilya FedotovXX100.0060606060607070606060606060405504601212975,000$
8Andrew CristallXX100.00606060606070706060606060604055045011921,500,000$
9Angus MacDonell (R)XXX100.0060606060607070606060606060485508900193700,000$
10Melvin Fernstrom (R)X100.0060606060607070606060606060425507500183975,000$
11Jiri TichacekX100.0060606060607070606060606060405507800211650,000$
12Tristan BertucciX100.0060606060607070606060606060405508701192975,000$
13Artem DudaX100.0060606060607070606060606060405504701202825,000$
14Noah ChadwickX100.0060606060607070606060606060405505601192650,000$
15Leon Muggli (R)X72.49606060606070706060606060604455042001831,250,000$
MOYENNE D’ÉQUIPE99.156158676464727562606261626145570690
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
1Olivier Rodrigue100.0060707060606060606060605563075002411,447,031$
2Carl Lindbom100.006070706060606060606060405507900211700,000$
Rayé
1Isak Posch100.006070706060606060606060405506800221655,000$
2Jesper Wallstedt92.8460707060606060606060604755065002221,575,000$
MOYENNE D’ÉQUIPE98.00607070606060606060606046570720
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
1Max SassonMoose (WPG)C/LW/RW5929477614545641052406813312.08%41133522.6491827351690001485149.36%5475519021.1436225444
2Ethan CardwellMoose (WPG)LW/RW58333164-3312556922035713416.26%32132722.89121224421750004526049.07%1083829010.9626203656
3Max DomiMoose (WPG)C/LW/RW61223860-2464058931785911312.36%28115518.9472027341731013294355.27%5884216001.0415044363
4Arttu HyryMoose (WPG)C/LW/RW59293160-227253998168579017.26%22121620.6213619271510118382251.51%6972224020.9913131533
5Justin BrazeauMoose (WPG)LW/RW542136579404083951734510712.14%27113020.9391524341420001234050.74%4713417011.0104224563
6Jacob QuillanMoose (WPG)C/LW/RW622328513252557112153429115.03%31125920.3212921292050003533048.50%5672821010.8123113405
7Calvin ThurkaufMoose (WPG)C/LW/RW5716173334525796262183625.81%20101917.8837107127000013046.06%1651417010.6524230232
8Oliver KylingtonMoose (WPG)D4251621-10191520619034355.56%3591521.8126825119000150010%02629000.4612102201
9Dylan DukeMoose (WPG)C/LW56101121-131010506168304114.71%1784815.15156431000001063.64%33812000.4911101320
10Jiri TichacekMoose (WPG)D403131653620475131799.68%2382020.5223510115000119100%0920000.3900031011
11Tristan BertucciMoose (WPG)D4251116-24715503936141313.89%4483119.80336987000128200%01117000.3801111021
12Mitchell RussellMoose (WPG)C/LW/RW244812-63925323521131619.05%1138115.92112124000041045.00%4055010.6301014100
13Michael BenningMoose (WPG)D32111124382038352412104.17%3065320.41123162000016010%0617000.3700013100
14Christian KyrouMoose (WPG)D42291111463043472516188.00%5085420.34123391000140100%0618000.2600330000
15Abram WiebeMoose (WPG)D4511011359355051272093.70%2884518.79033386000011000%0619000.2600133001
16Jett WooJetsD28088-742305041261240%3262822.45033489000135000%0316000.2500123010
17Tuomas UronenMoose (WPG)C/LW/RW433472101039272271513.64%53458.0400001000000047.06%1713000.4100011000
18Jarred TinordiJetsD14066-11410151111570%1530822.05000345000012000%036000.3900020000
19Marshall WarrenMoose (WPG)D28066126203732121490%1854819.59011043000014000%0416000.2200121001
20Filip RoosMoose (WPG)D18224-3141025221261116.67%2737921.1011235000009200%048000.2100101000
21Luke HaymesMoose (WPG)C/LW/RW10123-21757450120.00%4888.8800001000001033.33%603000.6800010000
22Jordan FrascaMoose (WPG)C13022-112109111250%31118.56022115000030040.00%1006000.3601011000
23Ilya FedotovMoose (WPG)LW/RW71121754440325.00%1578.1901105000000023.08%1311000.7000001000
24Noah ChadwickMoose (WPG)D121120191591553020.00%521217.680000700004000%0210000.1900210000
25Andrew CristallMoose (WPG)LW/RW7022-595972240%57811.18022013000020033.33%600000.5100001000
26Angus MacDonellMoose (WPG)C/LW/RW42112-12010792411.11%31994.7500000000000075.00%1201000.2000000001
27Leon MuggliMoose (WPG)D10022517158107030%1017317.3000001300002000%033000.2300012000
28Stian SolbergJetsD7022055794200%210915.640000000005000%015000.3700001000
29Axel Jonsson FjallbyMoose (WPG)LW/RW31011-31552726198140%936011.6400005000010050.00%1414000.0600010000
30Dylan PetersonMoose (WPG)C/LW/RW601111515349000%0406.7400002000000050.00%200000.4900111000
31Joey MuldowneyMoose (WPG)RW351010007331233.33%1641.830000200000000%000000.3100000000
32Tyce ThompsonMoose (WPG)C7000000000000%171.1100000000000050.00%20000000000000
33Theo RochetteMoose (WPG)C10000000310200%0202.0200003000000075.00%40000000000000
34Artem ShlaineMoose (WPG)C/LW/RW18000055742000%3874.8800004000000050.00%41200000001000
35Artem DudaMoose (WPG)D120000121015133210%1423019.1700012700008000%03900000110000
36Melvin FernstromMoose (WPG)RW25000000000000%010.060000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1116214358572-1279457010571288165556093812.93%5971864916.717712219927620961122551836850.76%3306337373090.611337244149363332
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
1Olivier RodrigueMoose (WPG)42261020.9072.872236221071150679000.731263713321
2Jesper WallstedtMoose (WPG)2211320.9082.5910440045487290200.33331630110
3Arturs SilovsJets95300.9152.454650119223128000.833690121
4Carl LindbomMoose (WPG)20001.000018000860000019000
Statistiques d’équipe totales ou en moyenne75421640.9082.733764231711868110320356262552


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$179,787$65,000$17,979$No650,000$--------650,000$--------No--------
Andrew CristallMoose (WPG)LW/RW192005-02-04CANNo174 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No1,500,000$--------1,500,000$--------No--------
Angus MacDonellMoose (WPG)C/LW/RW192005-05-11CANYes185 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$193,617$70,000$19,362$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Artem DudaMoose (WPG)D202004-04-08RUSNo187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$--------825,000$--------No--------
Artem ShlaineMoose (WPG)C/LW/RW222002-03-07USANo185 Lbs7 ft1NoNoN/ANoNo1FalseFalsePro & Farm825,000$228,191$82,500$22,819$No---------------------------
Arttu HyryMoose (WPG)C/LW/RW232001-04-11FINNo214 Lbs6 ft3NoNoFree AgentNoNo22025-09-08FalseFalsePro & Farm834,750$230,888$83,475$23,089$No834,750$--------834,750$--------No--------
Axel Jonsson FjallbyMoose (WPG)LW/RW261998-02-10SWENo189 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,155,000$319,468$115,500$31,947$No---------------------------
Calvin ThurkaufMoose (WPG)C/LW/RW271997-06-27SUINo203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Carl LindbomMoose (WPG)G212003-05-20SWENo185 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Christian KyrouMoose (WPG)D212003-09-16CANNo178 Lbs6 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No---------------------------
Dylan DukeMoose (WPG)C/LW212003-03-04USAYes177 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$--------975,000$--------No--------
Dylan PetersonMoose (WPG)C/LW/RW222002-01-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Ethan CardwellMoose (WPG)LW/RW222002-08-30CANNo180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm825,000$228,191$82,500$22,819$No---------------------------
Filip RoosMoose (WPG)D251999-01-05SWENo190 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm777,263$214,988$77,726$21,499$No---------------------------
Ilya FedotovMoose (WPG)LW/RW212003-03-19RUSNo172 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$--------975,000$--------No--------
Isak PoschMoose (WPG)G222002-01-31SWENo209 Lbs6 ft3NoNoFree AgentNoNo12025-06-11FalseFalsePro & Farm655,000$181,170$65,500$18,117$No---------------------------
Jacob QuillanMoose (WPG)C/LW/RW222002-02-02CANNo204 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$188,777$68,250$18,878$No682,500$--------682,500$--------No--------
Jesper Wallstedt (sur la masse salariale)Moose (WPG)G222002-11-14SWENo214 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$435,638$157,500$43,564$No1,575,000$--------1,575,000$--------No--------
Jiri TichacekMoose (WPG)D212003-01-30CZENo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Joey MuldowneyMoose (WPG)RW202004-06-05USAYes161 Lbs5 ft7NoNoProspectNoNo32025-08-30FalseFalsePro & Farm700,000$193,617$70,000$19,362$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Jordan FrascaMoose (WPG)C232001-07-05CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm729,750$201,846$72,975$20,185$No---------------------------
Justin BrazeauMoose (WPG)LW/RW261998-02-02CANNo227 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Leon Muggli (sur la masse salariale)Moose (WPG)D182006-07-09SUIYes176 Lbs5 ft11NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$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$181,170$65,500$18,117$No655,000$--------655,000$--------No--------
Marshall WarrenMoose (WPG)D232001-04-20USANo183 Lbs6 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$283,165$102,375$28,316$No1,023,750$--------1,023,750$--------No--------
Max DomiMoose (WPG)C/LW/RW291995-03-02CANNo209 Lbs5 ft10NoNoFree AgentNoNo22025-06-09FalseFalsePro & Farm705,000$195,000$70,500$19,500$No705,000$--------705,000$--------No--------
Max SassonMoose (WPG)C/LW/RW242000-09-05USANo181 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,100,000$304,255$110,000$30,426$No1,100,000$--------1,100,000$--------No--------
Melvin FernstromMoose (WPG)RW182006-02-28SWEYes190 Lbs6 ft0NoNoDraftNoNo32025-08-30FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Michael BenningMoose (WPG)D222002-01-05CANNo175 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Mitchell RussellMoose (WPG)C/LW/RW232001-03-06CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm792,750$219,271$79,275$21,927$No---------------------------
Noah ChadwickMoose (WPG)D192005-05-10CANNo201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$179,787$65,000$17,979$No650,000$--------650,000$--------No--------
Oliver Kylington (contrat à 1 volet)Moose (WPG)D271997-05-19SWENo183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$174,731$650,000$174,731$No---------------------------
Olivier RodrigueMoose (WPG)G242000-07-06CANNo159 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,447,031$400,243$144,703$40,024$No---------------------------
Theo RochetteMoose (WPG)C222002-02-20SUINo161 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$188,777$68,250$18,878$No682,500$--------682,500$--------No--------
Tristan BertucciMoose (WPG)D192005-07-12CANNo179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$--------975,000$--------No--------
Tuomas UronenMoose (WPG)C/LW/RW192005-05-19FINYes190 Lbs5 ft10NoNoProspectNoNo32025-08-30FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Tyce ThompsonMoose (WPG)C251999-07-12CANNo175 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm909,563$251,581$90,956$25,158$No909,563$--------909,563$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3722.14187 Lbs6 ft21.70888,510$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan DukeMax DomiMitchell Russell28014
2Calvin ThurkaufJacob QuillanJustin Brazeau28014
3Arttu HyryMax SassonEthan Cardwell25023
4Justin BrazeauArttu HyryMax Sasson19032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael BenningFilip Roos34023
2Oliver KylingtonChristian Kyrou33032
3Abram WiebeMarshall Warren33032
4Christian KyrouOliver Kylington0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dylan DukeMax DomiJacob Quillan50014
2Arttu HyryJustin BrazeauMax Sasson50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Christian KyrouOliver Kylington50014
2Filip RoosMichael Benning50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Max SassonJacob Quillan50041
2Arttu HyryMax Domi50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonFilip Roos50050
2Christian KyrouMichael Benning50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Max Sasson50041Christian KyrouOliver Kylington50050
2Jacob Quillan50041Marshall WarrenMichael Benning50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jacob QuillanMax Sasson50023
2Justin BrazeauMax Domi50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael BenningChristian Kyrou50023
2Oliver KylingtonAbram Wiebe50023
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max DomiMax SassonJustin BrazeauOliver KylingtonFilip Roos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max DomiMax SassonJustin BrazeauOliver KylingtonFilip Roos
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Domi, Max Sasson, Jacob QuillanArttu Hyry, Max SassonMax Sasson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christian Kyrou, Michael Benning, Oliver KylingtonOliver KylingtonOliver Kylington, Christian Kyrou
Tirs de pénalité
Justin Brazeau, Max Sasson, Arttu Hyry, Max Domi, Jacob Quillan
Gardien
#1 : Olivier Rodrigue, #2 : Carl Lindbom


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
1Admirals312000001115-420200000611-51100000054120.3331117280054708419864255846225911938295518738.89%2150.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
2Americans75000020261115320000108354300001018810141.0002638640154708419157425584622591986411112132928.13%14285.71%0617121350.87%622120951.45%43988449.66%119154012166291359719
3Bears22000000422110000002111100000021141.00046100054708419484255846225939911398337.50%3166.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
4Bills2110000048-4110000004221010000006-620.5004711005470841953425584622596427523711218.18%6350.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
5Blood Miners11000000303000000000001100000030321.0003580154708419254255846225914410155120.00%000%0617121350.87%622120951.45%43988449.66%119154012166291359719
6Blossom Bytes312000001013-32110000078-11010000035-220.33310182800547084191044255846225910940374311218.18%6183.33%0617121350.87%622120951.45%43988449.66%119154012166291359719
7Bulldogs11000000422110000004220000000000021.000448005470841924425584622592272177228.57%110.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
8Crunch1010000013-2000000000001010000013-200.0001230054708419134255846225985010200.00%000%0617121350.87%622120951.45%43988449.66%119154012166291359719
9Eagles1010000025-31010000025-30000000000000.000235005470841929425584622595113911200.00%20100.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
10Griffins10000010431000000000001000001043121.00046100054708419324255846225940107125120.00%110.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
11Grisards20200000810-20000000000020200000810-200.0008142200547084195742558462259682416357342.86%3166.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
12Gulls210010001064100010005411100000052341.000101727005470841945425584622596020313610330.00%3233.33%0617121350.87%622120951.45%43988449.66%119154012166291359719
13Norsemen521010012119231101000141312100000176170.70021365700547084191334255846225917654748021838.10%7357.14%0617121350.87%622120951.45%43988449.66%119154012166291359719
14Penguins3020100046-2201010004401010000002-220.333481200547084195842558462259651816551100.00%3166.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
15Phantoms531000011613331100001810-22200000083570.70016284400547084191624255846225917860839724729.17%9366.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
16Rams3300000016412110000009182200000073461.000162844005470841994425584622597722244620630.00%20100.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
17Redhawks210001008801000010045-11100000043130.75081523005470841951425584622597922352711545.45%5260.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
18Reign10001000651100010006510000000000021.00061016005470841932425584622593092318300.00%4250.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
19Roadrunners11000000321110000003210000000000021.00035800547084192942558462259259017200.00%000%0617121350.87%622120951.45%43988449.66%119154012166291359719
20Rocket10001000321100010003210000000000021.0003690054708419284255846225918117114125.00%110.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
21Senators321000001275110000006152110000066040.667122032005470841981425584622598624464214428.57%9366.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
22Silver Knights1000010034-1000000000001000010034-110.5003580054708419164255846225912721222100.00%10100.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
23Titans11000000532000000000001100000053221.00057120054708419404255846225940127186350.00%10100.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
24Whalers52100020201373010002099022000000114780.800203151005470841913342558462259159451039317211.76%9366.67%0617121350.87%622120951.45%43988449.66%119154012166291359719
25White Wolves10001000321000000000001000100032121.0003690054708419244255846225938920213133.33%000%0617121350.87%622120951.45%43988449.66%119154012166291359719
26Wolf Pack2010001045-1000000000002010001045-120.5004480054708419474255846225958257478112.50%110.00%0617121350.87%622120951.45%43988449.66%119154012166291359719
27Wolves22000000927110000008261100000010141.000912210154708419544255846225935934429444.44%2150.00%1617121350.87%622120951.45%43988449.66%119154012166291359719
Total62301606262220173473012805131112902232188011311088325880.7102203585780354708419165542558462259186859779610572737728.21%953365.26%1617121350.87%622120951.45%43988449.66%119154012166291359719
_Since Last GM Reset62301606262220173473012805131112902232188011311088325880.7102203585780354708419165542558462259186859779610572737728.21%953365.26%1617121350.87%622120951.45%43988449.66%119154012166291359719
_Vs Conference48251303052176129472397030318667192516600021906228680.708176284460025470841912994255846225914674646298492166228.70%742368.92%1617121350.87%622120951.45%43988449.66%119154012166291359719
_Vs Division151660104241392663010311415-191030001127243441.4674167108005470841941242558462259448148140291641726.56%20765.00%0617121350.87%622120951.45%43988449.66%119154012166291359719

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6288W222035857816551868597796105703
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6230166262220173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
30128513111290
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32188113110883
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2737728.21%953365.26%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
4255846225954708419
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
617121350.87%622120951.45%43988449.66%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
119154012166291359719


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
855Senators1Moose6WSommaire du match
1073Whalers4Moose5WXXSommaire du match
1287Moose2Bears1WSommaire du match
1498Moose1Wolves0WSommaire du match
16116Norsemen5Moose3LSommaire du match
18135Moose5Senators1WSommaire du match
20145Americans1Moose2WXXSommaire du match
22160Moose4Norsemen2WSommaire du match
24173Moose3Americans2WXXSommaire du match
26186Phantoms4Moose1LSommaire du match
29207Bulldogs2Moose4WSommaire du match
31223Moose5Titans3WSommaire du match
34240Americans2Moose4WSommaire du match
36253Moose6Grisards7LSommaire du match
38265Moose3Phantoms2WSommaire du match
40279Penguins2Moose1LSommaire du match
42293Moose4Redhawks3WSommaire du match
44304Moose1Senators5LSommaire du match
46317Whalers2Moose3WXXSommaire du match
48338Moose3Silver Knights4LXSommaire du match
50348Roadrunners2Moose3WSommaire du match
52367Moose1Wolf Pack3LSommaire du match
54381Bears1Moose2WSommaire du match
56397Moose0Bills6LSommaire du match
58412Penguins2Moose3WXSommaire du match
60424Moose5Phantoms1WSommaire du match
62444Phantoms5Moose4LXXSommaire du match
66463Moose5Americans2WSommaire du match
67476Redhawks5Moose4LXSommaire du match
72504Gulls4Moose5WXSommaire du match
74521Moose7Whalers1WSommaire du match
76535Rocket2Moose3WXSommaire du match
78544Moose1Crunch3LSommaire du match
80566Admirals6Moose4LSommaire du match
82576Moose3White Wolves2WXSommaire du match
84586Moose4Whalers3WSommaire du match
85601Blossom Bytes3Moose1LSommaire du match
89625Moose7Americans2WSommaire du match
90635Blossom Bytes5Moose6WSommaire du match
93658Moose3Wolf Pack2WXXSommaire du match
94666Admirals5Moose2LSommaire du match
97684Moose3Blossom Bytes5LSommaire du match
99698Phantoms1Moose3WSommaire du match
103727Bills2Moose4WSommaire du match
105742Moose4Rams2WSommaire du match
107758Rams1Moose9WSommaire du match
110777Moose3Rams1WSommaire du match
112790Wolves2Moose8WSommaire du match
114808Moose3Blood Miners0WSommaire du match
116822Reign5Moose6WXSommaire du match
118838Moose5Admirals4WSommaire du match
120853Moose3Norsemen4LXXSommaire du match
121860Americans0Moose2WSommaire du match
124884Moose4Griffins3WXXSommaire du match
125892Eagles5Moose2LSommaire du match
128918Norsemen3Moose5WSommaire du match
129924Moose0Penguins2LSommaire du match
133950Norsemen5Moose6WXSommaire du match
135962Moose5Gulls2WSommaire du match
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
Assistance65,110165,000
Assistance PCT86.81%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 7670 - 95.88% 170,354$5,110,620$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,827,244$ 2,939,985$ 2,939,985$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
18,830$ 2,827,244$ 34 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,873,894$ 52 18,830$ 979,160$




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