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Moose
GP: 82 | W: 52 | L: 25 | OTL: 5 | P: 109
GF: 323 | GA: 259 | PP%: 22.95% | PK%: 77.98%
DG: Keven Langevin | Morale : 72 | Moyenne d’équipe : 62

Centre de jeu
Moose
52-25-5, 109pts
5
1 Tucson Roadrunners
45-31-6, 96pts
Team Stats
W3SéquenceW1
27-14-0Fiche domicile26-13-2
25-11-5Fiche domicile19-18-4
8-2-0Derniers 10 matchs6-4-0
3.94Buts par match 3.66
3.16Buts contre par match 3.50
22.95%Pourcentage en avantage numérique24.91%
77.98%Pourcentage en désavantage numérique78.59%
Barracuda
46-34-2, 94pts
1
5 Moose
52-25-5, 109pts
Team Stats
L2SéquenceW3
22-18-1Fiche domicile27-14-0
24-16-1Fiche domicile25-11-5
4-6-0Derniers 10 matchs8-2-0
3.72Buts par match 3.94
3.76Buts contre par match 3.16
23.53%Pourcentage en avantage numérique22.95%
74.49%Pourcentage en désavantage numérique77.98%
Meneurs d'équipe
Ethan CardwellButs
Ethan Cardwell
41
Scott PerunovichPasses
Scott Perunovich
74
Scott PerunovichPoints
Scott Perunovich
89
Brian HalonenPlus/Moins
Brian Halonen
30
Kaapo KahkonenVictoires
Kaapo Kahkonen
49
Brandon BussiPourcentage d’arrêts
Brandon Bussi
0.939

Statistiques d’équipe
Buts pour
323
3.94 GFG
Tirs pour
3162
38.56 Avg
Pourcentage en avantage numérique
22.9%
67 GF
Début de zone offensive
42.1%
Buts contre
259
3.16 GAA
Tirs contre
2881
35.13 Avg
Pourcentage en désavantage numérique
78.0%%
72 GA
Début de la zone défensive
39.9%
Informations de l'équipe

Directeur généralKeven Langevin
EntraîneurSteve Potvin
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,830
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 60
Espoirs2


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
1Jujhar Khaira0XX100.008078756189787058646261635971730826403231,000,000$
2Sam Poulin0X100.007540786286828064656162636764660826402531,000,000$
3Ethan Cardwell0XX100.006637796568908664676362656164650866402431,000,000$
4Gage Quinney0XX100.006336956272847659706661605870720826303131,000,000$
5Brian Halonen0X100.006739796376867861565963586266680866202731,000,000$
6Mason Shaw0XXX100.006669616467837963726160626467690846202731,000,000$
7Samu Tuomaala0X100.005637896267828161666463576162640866202311,000,000$
8Joel Teasdale0XX100.006839825977788458605560575466680866102731,000,000$
9Alex Jefferies0X100.006437925973867357625863566164660866102431,000,000$
10Bogdan Trineyev0X100.007439905783808356525462595763650866102431,000,000$
11Gabriel Szturc (R)0X100.006237915971697058635760555462640866002211,000,000$
12Riley Fiddler-Schultz0X100.006539875874807057625663555763650816002431,000,000$
13Scott Perunovich0X100.006333926965867668307558625167690866502831,000,000$
14William Lagesson0X100.007642776283827361306562705069710386503031,000,000$
15Calen Addison0X100.005840716567738563306658564865670866202631,000,000$
16Connor Mackey0X100.007463596084838157305962624969710836202931,000,000$
17Blake Hillman0X100.006738945776638056305557544569710826003031,000,000$
18Devante Stephens0X100.007142715780637956305558594668700866002931,000,000$
19Aidan Fulp0X100.008141895390637552305555594565670876002631,000,000$
20Aleksi Heimosalmi0X100.006238855871667056305558534662640425902311,000,000$
Rayé
1Riley Hughes (R)0X100.006338885772656654585560535765670205902631,000,000$
2Jackson Edward (R)0X100.007039865479636553305656554561630205802211,000,000$
3Michael Buchinger (R)0X100.005638795768666955305457564561630205802211,000,000$
4Eemil Viro0X100.00583784556765775430535651456365020570241999,999$
MOYENNE D’ÉQUIPE100.0067428260757676584859605854656707061
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
1Kaapo Kahkonen0100.00798580847877797877797871830736803011,150,000$
2Brandon Bussi0100.00778581917675777675777667770906702831,000,000$
Rayé
1Magnus Hellberg0100.00768478967574767574767574880206603531,000,000$
2Kevin Mandolese0100.00717975827069717069717065730206302631,000,000$
3Benjamin Gaudreau (R)0100.00647167756362646362646362670205902311,000,000$
MOYENNE D’ÉQUIPE100.007381768672717372717372687804565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Potvin75677160777276CAN5032,500,000$


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
1Scott PerunovichMoose (WPG)D8215748925560160177157511119.55%159211225.7681220862540112264120%000000.8401000661
2Sam PoulinMoose (WPG)LW823354878735221141369932558.94%28157419.201118297622111271644248.46%13000001.11370006410
3Ethan CardwellMoose (WPG)LW/RW8241418228260931903868926110.62%35203624.83661270247202173316349.46%46300000.8108000534
4Mason ShawMoose (WPG)C/LW/RW82353772295951511793008319611.67%29160919.6371017652420001997054.26%88100210.8901010645
5Gage QuinneyMoose (WPG)C/LW63263359540401962194912711.87%12122319.43917264116620271491457.41%170000010.9611000562
6Jujhar KhairaMoose (WPG)C/LW6320395923635204212202541279.90%17148223.53313164318102282324155.22%230000000.8014001315
7Samu TuomaalaMoose (WPG)RW822334571080331112267418110.18%21136416.6451217471850002264053.85%13000000.8413000143
8Connor MackeyMoose (WPG)D631339522493518376109327711.93%107128020.328816491600112155410%000000.8100100322
9Calen AddisonMoose (WPG)D826455155601679012038695.00%117189623.125914692340112237200%000000.5400000012
10Brian HalonenMoose (WPG)LW822424483040068882055915211.71%1495911.70011040001263244.78%6700001.0000000423
11Riley Fiddler-SchultzMoose (WPG)C66162339291004890116348513.79%475011.3800013000011152.41%93500001.0400000144
12Joel TeasdaleMoose (WPG)LW/RW82122335252609064153311017.84%1389110.87011140000232238.57%7000000.7900000111
13Blake HillmanMoose (WPG)D6352126246036445824318.62%71131520.883912221550111192020%000000.4000000000
14Devante StephensMoose (WPG)D826202658810150557125418.45%84130715.950117630000117100%000000.4000110031
15Gabriel SzturcMoose (WPG)C8213132652025103111407311.71%97128.690111556000031248.36%94700000.7300000012
16Bogdan TrineyevMoose (WPG)RW8213102351607946125298710.40%97108.660001057000002133.90%5900000.6500000121
17Alex JefferiesMoose (WPG)LW8281119210038369223728.70%85867.1510111000002256.00%5000000.6500000000
18Aidan FulpMoose (WPG)D821141522655132325318371.89%72111913.6500027000025100%000000.2700100100
19Kailer YamamotoJetsRW165712-44012365811448.62%327817.431231245000001038.10%2100000.8601000100
20Aleksi HeimosalmiMoose (WPG)D3516715100211412578.33%263349.5600001000016010%000000.4200000001
21William LagessonMoose (WPG)D804431002516157150%920425.54000729000022000%000000.3900000001
22Riley HughesMoose (WPG)RW81011004140025.00%0324.1000000000000040.00%500000.6100000000
Statistiques d’équipe totales ou en moyenne145131757288931972535198019973161869214910.03%8472378316.396712018762423245712502093472653.48%775800220.75626321444448
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
1Kaapo KahkonenMoose (WPG)82492250.9103.15468610224627330710.84626820974
2Brandon BussiMoose (WPG)83300.9391.9627600914700000082000
Statistiques d’équipe totales ou en moyenne90522550.9113.0849621022552880071268282974


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
Aidan FulpMoose (WPG)D262000-02-29USANo216 Lbs193 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Aleksi HeimosalmiMoose (WPG)D232003-05-08FINNo181 Lbs183 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Alex JefferiesMoose (WPG)LW242001-11-08USANo195 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Benjamin GaudreauMoose (WPG)G232003-01-11CANYes175 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Blake HillmanMoose (WPG)D301996-01-26USANo193 Lbs185 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Bogdan TrineyevMoose (WPG)RW242002-03-04RUSNo198 Lbs191 CMNoNoTrade2025-09-01NoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brandon BussiMoose (WPG)G281998-06-25USANo209 Lbs196 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Brian HalonenMoose (WPG)LW271999-01-11USANo207 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Calen AddisonMoose (WPG)D262000-04-11CANNo173 Lbs180 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Connor MackeyMoose (WPG)D291996-09-12USANo205 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Devante StephensMoose (WPG)D291997-01-02CANNo185 Lbs191 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Eemil ViroMoose (WPG)D242002-04-03FINNo165 Lbs183 CMNoNoFantasy DraftNoNo12025-08-23FalseFalsePro & Farm999,999$0$0$No---------------------------Lien / Lien NHL
Ethan CardwellMoose (WPG)LW/RW242002-08-30CANNo180 Lbs180 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Gabriel SzturcMoose (WPG)C222003-09-24CZEYes194 Lbs180 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Gage QuinneyMoose (WPG)C/LW311995-07-29USANo200 Lbs180 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jackson EdwardMoose (WPG)D222004-02-27CANYes193 Lbs188 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Joel TeasdaleMoose (WPG)LW/RW271999-03-11CANNo212 Lbs183 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Jujhar KhairaMoose (WPG)C/LW321994-08-13CANNo212 Lbs193 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Kaapo KahkonenMoose (WPG)G301996-08-16FINNo217 Lbs188 CMNoNoFantasy DraftNoNo12025-08-17FalseFalsePro & Farm1,150,000$0$0$No---------------------------Lien / Lien NHL
Kevin MandoleseMoose (WPG)G262000-08-22CANNo180 Lbs193 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Magnus HellbergMoose (WPG)G351991-04-04SWENo220 Lbs198 CMNoNoFantasy DraftYesNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Mason ShawMoose (WPG)C/LW/RW271998-11-03CANNo184 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Michael BuchingerMoose (WPG)D222004-04-25CANYes178 Lbs180 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Riley Fiddler-SchultzMoose (WPG)C242002-05-13CANNo200 Lbs183 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Riley HughesMoose (WPG)RW262000-06-27CANYes173 Lbs185 CMNoNoFantasy DraftNoNo32025-07-09FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Sam PoulinMoose (WPG)LW252001-02-25CANNo227 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Samu TuomaalaMoose (WPG)RW232003-01-08FINNo174 Lbs180 CMNoNoFantasy DraftNoNo12025-07-09FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Scott PerunovichMoose (WPG)D281998-08-18USANo175 Lbs178 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
William LagessonMoose (WPG)D301996-02-22SWENo211 Lbs188 CMNoNoFantasy DraftNoNo3FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.45194 Lbs185 CM2.451,005,172$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan CardwellJujhar KhairaMason Shaw40122
2Sam PoulinGage QuinneySamu Tuomaala30122
3Brian HalonenRiley Fiddler-SchultzJoel Teasdale20122
4Alex JefferiesGabriel SzturcBogdan Trineyev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison40122
2Connor MackeyBlake Hillman30122
3Devante StephensAidan Fulp20122
4Scott PerunovichCalen Addison10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ethan CardwellJujhar KhairaMason Shaw60122
2Sam PoulinGage QuinneySamu Tuomaala40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyBlake Hillman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaEthan Cardwell60122
2Gage QuinneySam Poulin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyBlake Hillman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jujhar Khaira60122Scott PerunovichCalen Addison60122
2Gage Quinney40122Connor MackeyBlake Hillman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jujhar KhairaEthan Cardwell60122
2Gage QuinneySam Poulin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichCalen Addison60122
2Connor MackeyBlake Hillman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethan CardwellJujhar KhairaMason ShawScott PerunovichCalen Addison
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ethan CardwellJujhar KhairaMason ShawScott PerunovichCalen Addison
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Samu Tuomaala, Brian HalonenMason Shaw, Samu TuomaalaMason Shaw
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Hillman, Devante Stephens, Aidan FulpBlake HillmanBlake Hillman, Devante Stephens
Tirs de pénalité
Ethan Cardwell, Jujhar Khaira, Sam Poulin, Gage Quinney, Mason Shaw
Gardien
#1 : Kaapo Kahkonen, #2 : Brandon Bussi
Lignes d’attaque personnalisées en prolongation
Ethan Cardwell, Jujhar Khaira, Sam Poulin, Gage Quinney, Mason Shaw, Samu Tuomaala, Brian Halonen, Joel Teasdale, Bogdan Trineyev, Alex Jefferies
Lignes de défense personnalisées en prolongation
Scott Perunovich, Calen Addison, Connor Mackey, Blake Hillman, Devante Stephens


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
1Abbotsford Canucks31100001131301100000042220100001911-230.5001322350010811296883106899610725215036397614214.29%15193.33%21776323654.88%1625306852.97%748138953.85%2013139919085931048530
2Admirals32100000810-22110000069-31100000021140.66781523001081129689310689961072521073424689222.22%11372.73%11776323654.88%1625306852.97%748138953.85%2013139919085931048530
3Barracuda31100100990110000005142010010048-430.500915240010811296811610689961072521304730667228.57%14378.57%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
4Bears20100010910-11010000024-21000001076120.5009132200108112968631068996107252871618635240.00%90100.00%11776323654.88%1625306852.97%748138953.85%2013139919085931048530
5Belleville Senators2020000068-21010000034-11010000034-100.000612180010811296871106899610725272221841400.00%90100.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
6Bridgeport Islanders220000001183110000005321100000065141.00011213200108112968711068996107252942720501218.33%10370.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
7Bruins2110000068-2110000003211010000036-320.5006101600108112968611068996107252801622446350.00%11281.82%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
8Calgary Wranglers312000001113-21010000035-22110000088020.333111930001081129681061068996107252883535781000.00%15846.67%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
9Charlotte Checkers220000001367110000008351100000053241.0001324370010811296811810689961072526419174811436.36%50100.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
10Chicago Wolves2110000056-1110000003211010000024-220.500591400108112968711068996107252622816609333.33%8362.50%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
11Coachella Valley Firebirds31100010972201000105501100000042240.66791221001081129681111068996107252104202085800.00%10370.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
12Colorado Eagles41100020171432010001077021000010107360.75017264300108112968171106899610725211548439413430.77%17570.59%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
13Condors312000001215-321100000111101010000014-320.333122436001081129689710689961072521133130716116.67%14471.43%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
14Griffins20100010121201010000045-11000001087120.50012213300108112968891068996107252722022518337.50%10550.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
15Henderson Silver Knights330000001284220000008621100000042261.0001221330010811296812410689961072529026184918527.78%9366.67%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
16IceHogs431000002112921100000117422000000105560.75021406100108112968158106899610725213734248916425.00%12283.33%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
17Laval Rocket22000000862110000005411100000032141.00081624001081129686010689961072527127105013215.38%5180.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
18Monsters22000000954110000004311100000052341.0009162500108112968871068996107252621716526233.33%8362.50%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
19Ontario Reign3110000189-1211000005501000000134-130.50081422001081129689810689961072521103432678112.50%14285.71%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
20Penguins220000001037110000004131100000062441.000101828001081129681141068996107252672312539222.22%6183.33%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
21Phantoms2010000157-21010000034-11000000123-110.250510150010811296862106899610725263153646700.00%9277.78%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
22Rochester Americans22000000936110000004221100000051441.000917260010811296810910689961072525819642500.00%3166.67%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
23San Diego Gulls31101000141401010000046-221001000108240.66714243810108112968118106899610725211231307815426.67%15473.33%11776323654.88%1625306852.97%748138953.85%2013139919085931048530
24Syracruse Crunch2010010068-21010000034-11000010034-110.2506101600108112968661068996107252702222555240.00%10280.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
25Texas Stars4210100020128201010001011-122000000101960.75020335301108112968148106899610725216041328111545.45%14285.71%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
26Thunderbirds4400000017710220000008172200000096381.00017304701108112968159106899610725211534409021523.81%20290.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
27Toronto Marlies21100000550110000003211010000023-120.50059140010811296852106899610725266171869200.00%9277.78%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
28Tucson Roadrunners32100000945110000004132110000053240.667917260010811296810910689961072521183126868112.50%10190.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
29Utica Comets21100000743110000006241010000012-120.50071421001081129681251068996107252511116493133.33%70100.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
30Wild4310000015114220000007522110000086260.75015274200108112968172106899610725213847288814321.43%13376.92%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
31Wolf Pack22000000725110000004131100000031241.0007132000108112968801068996107252551915479333.33%5180.00%01776323654.88%1625306852.97%748138953.85%2013139919085931048530
Total8245250225332325964412414010201621283441211101233161131301090.6653235728951210811296831621068996107252288184773519862926722.95%3277277.98%51776323654.88%1625306852.97%748138953.85%2013139919085931048530
_Since Last GM Reset8245250225332325964412414010201621283441211101233161131301090.6653235728951210811296831621068996107252288184773519862926722.95%3277277.98%51776323654.88%1625306852.97%748138953.85%2013139919085931048530
_Vs Conference502715021321951583725139010209882162514601112977621670.6701953395341210811296818631068996107252178752945111661783921.91%2034677.34%41776323654.88%1625306852.97%748138953.85%2013139919085931048530
_Vs Division261760102010770371374010105341121310200010542925400.7691071882950210811296810101068996107252890269217596922426.09%971881.44%11776323654.88%1625306852.97%748138953.85%2013139919085931048530

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82109W332357289531622881847735198612
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8245252253323259
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4124141020162128
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121111233161131
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2926722.95%3277277.98%5
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
1068996107252108112968
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
1776323654.88%1625306852.97%748138953.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2013139919085931048530


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
3 - 2025-09-2817Texas Stars5Moose3LSommaire du match
5 - 2025-09-3022Ontario Reign1Moose2WSommaire du match
7 - 2025-10-0242Moose6Bridgeport Islanders5WSommaire du match
10 - 2025-10-0566Moose2Phantoms3LXXSommaire du match
12 - 2025-10-0784Admirals6Moose2LSommaire du match
14 - 2025-10-0996Moose3Calgary Wranglers2WSommaire du match
17 - 2025-10-12120Coachella Valley Firebirds1Moose2WXXSommaire du match
18 - 2025-10-13126Calgary Wranglers5Moose3LSommaire du match
20 - 2025-10-15143Tucson Roadrunners1Moose4WSommaire du match
22 - 2025-10-17157Moose2Wild4LSommaire du match
24 - 2025-10-19174IceHogs2Moose7WSommaire du match
26 - 2025-10-21182Penguins1Moose4WSommaire du match
29 - 2025-10-24212Moose3Ontario Reign4LXXSommaire du match
32 - 2025-10-27230Moose2Barracuda3LXSommaire du match
34 - 2025-10-29251Moose3San Diego Gulls2WSommaire du match
36 - 2025-10-31263Moose3Abbotsford Canucks4LXXSommaire du match
38 - 2025-11-02278Moose4Coachella Valley Firebirds2WSommaire du match
40 - 2025-11-04294Moose5Calgary Wranglers6LSommaire du match
43 - 2025-11-07311Monsters3Moose4WSommaire du match
46 - 2025-11-10333Chicago Wolves2Moose3WSommaire du match
48 - 2025-11-12348Wild3Moose4WSommaire du match
51 - 2025-11-15367Moose7Bears6WXXSommaire du match
53 - 2025-11-17387Moose2Chicago Wolves4LSommaire du match
54 - 2025-11-18397Moose2Admirals1WSommaire du match
56 - 2025-11-20408Moose5Rochester Americans1WSommaire du match
58 - 2025-11-22422Moose3Laval Rocket2WSommaire du match
60 - 2025-11-24437Rochester Americans2Moose4WSommaire du match
61 - 2025-11-25450Moose1Condors4LSommaire du match
64 - 2025-11-28473Texas Stars6Moose7WXSommaire du match
66 - 2025-11-30489Bruins2Moose3WSommaire du match
68 - 2025-12-02503Bears4Moose2LSommaire du match
70 - 2025-12-04516Belleville Senators4Moose3LSommaire du match
72 - 2025-12-06531Moose3Thunderbirds2WSommaire du match
74 - 2025-12-08546Moose4Colorado Eagles3WXXSommaire du match
76 - 2025-12-10569Moose0Tucson Roadrunners2LSommaire du match
82 - 2025-12-16594Wild2Moose3WSommaire du match
84 - 2025-12-18609Condors6Moose4LSommaire du match
86 - 2025-12-20626Moose8Griffins7WXXSommaire du match
87 - 2025-12-21634Moose2Toronto Marlies3LSommaire du match
89 - 2025-12-23650Moose3Belleville Senators4LSommaire du match
92 - 2025-12-26673Henderson Silver Knights3Moose4WSommaire du match
94 - 2025-12-28690Condors5Moose7WSommaire du match
95 - 2025-12-29695Ontario Reign4Moose3LSommaire du match
97 - 2025-12-31711Utica Comets2Moose6WSommaire du match
99 - 2026-01-02732Bridgeport Islanders3Moose5WSommaire du match
101 - 2026-01-04744Moose6Wild2WSommaire du match
103 - 2026-01-06762Toronto Marlies2Moose3WSommaire du match
105 - 2026-01-08776Moose5IceHogs3WSommaire du match
106 - 2026-01-09785Thunderbirds1Moose4WSommaire du match
108 - 2026-01-11799Charlotte Checkers3Moose8WSommaire du match
110 - 2026-01-13815Griffins5Moose4LSommaire du match
113 - 2026-01-16835Moose1Utica Comets2LSommaire du match
115 - 2026-01-18847Moose3Syracruse Crunch4LXSommaire du match
117 - 2026-01-20862Moose5Charlotte Checkers3WSommaire du match
119 - 2026-01-22882Moose5Texas Stars1WSommaire du match
121 - 2026-01-24895Laval Rocket4Moose5WSommaire du match
142 - 2026-02-14915Moose6Abbotsford Canucks7LSommaire du match
144 - 2026-02-16933Moose7San Diego Gulls6WXSommaire du match
146 - 2026-02-18950Moose2Barracuda5LSommaire du match
148 - 2026-02-20964IceHogs5Moose4LSommaire du match
150 - 2026-02-22980Syracruse Crunch4Moose3LSommaire du match
152 - 2026-02-24996Abbotsford Canucks2Moose4WSommaire du match
155 - 2026-02-271022San Diego Gulls6Moose4LSommaire du match
157 - 2026-03-011036Wolf Pack1Moose4WSommaire du match
159 - 2026-03-031045Colorado Eagles3Moose4WXXSommaire du match
160 - 2026-03-041057Thunderbirds0Moose4WSommaire du match
162 - 2026-03-061071Admirals3Moose4WSommaire du match
164 - 2026-03-081083Moose3Bruins6LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2026-03-101099Moose6Penguins2WSommaire du match
167 - 2026-03-111110Moose3Wolf Pack1WSommaire du match
169 - 2026-03-131131Henderson Silver Knights3Moose4WSommaire du match
171 - 2026-03-151145Colorado Eagles4Moose3LSommaire du match
173 - 2026-03-171162Moose6Colorado Eagles4WSommaire du match
176 - 2026-03-201186Moose5IceHogs2WSommaire du match
178 - 2026-03-221198Moose5Texas Stars0WSommaire du match
180 - 2026-03-241215Moose5Monsters2WSommaire du match
182 - 2026-03-261230Coachella Valley Firebirds4Moose3LSommaire du match
185 - 2026-03-291253Moose6Thunderbirds4WSommaire du match
187 - 2026-03-311272Phantoms4Moose3LSommaire du match
189 - 2026-04-021290Moose4Henderson Silver Knights2WSommaire du match
190 - 2026-04-031297Moose5Tucson Roadrunners1WSommaire du match
192 - 2026-04-051308Barracuda1Moose5WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance77,03838,987
Assistance PCT93.95%95.09%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2830 - 94.33% 116,840$4,790,457$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,907,686$ 2,915,000$ 2,915,000$ 2,500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,941,515$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 28,203$ 0$




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