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Moose
GP: 63 | W: 32 | L: 26 | OTL: 5 | P: 69
GF: 222 | GA: 221 | PP%: 20.74% | PK%: 76.34%
DG: Eric Pilon | Morale : 51 | Moyenne d’équipe : 64
Prochains matchs #983 vs Crunch
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Centre de jeu
Moose
32-26-5, 69pts
5
FINAL
2 Checkers
43-15-4, 90pts
Team Stats
W2SéquenceW1
17-10-3Fiche domicile21-7-2
15-16-2Fiche domicile22-8-2
8-2-0Derniers 10 matchs6-3-1
3.52Buts par match 3.89
3.51Buts contre par match 2.94
20.74%Pourcentage en avantage numérique24.64%
76.34%Pourcentage en désavantage numérique81.37%
BruinsF
32-23-7, 71pts
3
FINAL
6 Moose
32-26-5, 69pts
Team Stats
W1SéquenceW2
19-8-3Fiche domicile17-10-3
13-15-4Fiche domicile15-16-2
6-4-0Derniers 10 matchs8-2-0
3.42Buts par match 3.52
3.44Buts contre par match 3.51
26.90%Pourcentage en avantage numérique20.74%
80.23%Pourcentage en désavantage numérique76.34%
Moose
32-26-5, 69pts
2025-01-18
Crunch
30-27-5, 65pts
Statistiques d’équipe
W2SéquenceL1
17-10-3Fiche domicile19-8-3
15-16-2Fiche visiteur11-19-2
8-2-010 derniers matchs6-3-1
3.52Buts par match 3.11
3.51Buts contre par match 3.11
20.74%Pourcentage en avantage numérique17.39%
76.34%Pourcentage en désavantage numérique78.07%
Wolves
27-26-6, 60pts
2025-01-19
Moose
32-26-5, 69pts
Statistiques d’équipe
L1SéquenceW2
16-12-3Fiche domicile17-10-3
11-14-3Fiche visiteur15-16-2
4-5-110 derniers matchs8-2-0
3.00Buts par match 3.52
3.39Buts contre par match 3.52
18.99%Pourcentage en avantage numérique20.74%
78.16%Pourcentage en désavantage numérique76.34%
Moose
32-26-5, 69pts
2025-01-21
Marlies
31-27-5, 67pts
Statistiques d’équipe
W2SéquenceW2
17-10-3Fiche domicile17-10-3
15-16-2Fiche visiteur14-17-2
8-2-010 derniers matchs5-5-0
3.52Buts par match 3.37
3.51Buts contre par match 3.37
20.74%Pourcentage en avantage numérique22.16%
76.34%Pourcentage en désavantage numérique84.35%
Meneurs d'équipe
Buts
Justin Danforth
26
Passes
Pavel Kraskovsky
32
Points
Nathan Walker
50
Plus/Moins
Justin Danforth
12
Victoires
Dylan Wells
25
Pourcentage d’arrêts
Spencer Martin
0.894

Statistiques d’équipe
Buts pour
222
3.52 GFG
Tirs pour
1897
30.11 Avg
Pourcentage en avantage numérique
20.7%
39 GF
Début de zone offensive
39.7%
Buts contre
221
3.51 GAA
Tirs contre
1928
30.60 Avg
Pourcentage en désavantage numérique
76.3%%
53 GA
Début de la zone défensive
40.5%
Informations de l'équipe

Directeur généralEric Pilon
EntraîneurRick Tocchet
DivisionDivision Sud-Est
ConférenceConference 1
CapitaineAndrei Mironov
Assistant #1Daniel Sprong
Assistant #2Sami Vatanen


Informations de l’aréna

Capacité3,000
Assistance2,728
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 56
Espoirs43


Historique d'équipe

Saison actuelle32-26-5 (69PTS)
Historique68-62-19 (0.456%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Daniel Sprong (A)XX99.0063459279717185746772756768704864536702722,000,000$
2Pontus AbergXX100.0056429373717588746274717167756051566703123,000,000$
3Justin DanforthXX100.0070458875688183737274717369574950726603121,700,000$
4Nathan WalkerXX100.0074558775687577727271717269584953666603021,700,000$
5Ryan LombergXX100.0074617575687892727069737170625256576603021,500,000$
6Valentin ZykovXX100.0061468971737479687071696967665655666502911,500,000$
7Mason ShawXXX100.007171827267748672777471736753476063650262900,000$
8Pavel KraskovskyX100.0077676972707576707173707068605357616502811,200,000$
9Anthony RichardXX100.0074457172677674707069726663595457696502821,300,000$
10Rasmus Kupari (R)XXX100.006745928471697369716361725560457072640243900,000$
11Nils Aman (R)X100.006645917568707957716968776855457047630241900,000$
12Julius NattinenX100.007045827270727167756964715956495742630282900,000$
13Jarred TinordiX100.0081757273767978734572657863614846746703211,800,000$
14Sami Vatanen (A)X100.0061459871696868694567666964726546666503331,500,000$
15Brandon GormleyX100.0059459370727074694566657163634946466403231,200,000$
16Brendan GuhleX100.006544867270707364456565725455486068630271750,000$
17Anton LindholmX100.0063449371706879694567647263554556586303011,100,000$
18Chad KrysX100.006752877068686760456263705750486044610261750,000$
Rayé
1Nick SorensenXX100.0061478572725972676366666462725653206303031,000,000$
2Lias AnderssonXX100.006245867269727268696969636058456037630262750,000$
3Stefan MatteauX100.0082596968756374637364657262695349206303021,000,000$
4Joakim NygardXX100.0061458972676779666868696570685445206303211,200,000$
5Jeremy BraccoXX100.006145917268647365676763656259516020620272800,000$
6Vladimir TkachyovXX100.006045827266656965586966616459515420610292700,000$
7Phil VaroneXX100.0063448870656968656464676668595043206103411,000,000$
8Andrei Mironov (C)X96.0868458171727478754571647754685852586703032,500,000$
9James GreenwayX100.007248787274706656455858665749486020600261750,000$
MOYENNE D’ÉQUIPE99.81675085737071766862686770636151554964
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
1Spencer Martin100.008488818078777976767585617154726502931,500,000$
2Dylan Wells100.00848479797980817981857949526044650272750,000$
Rayé
1Felix Sandstrom100.00858673797873787373728053655726630281750,000$
MOYENNE D’ÉQUIPE100.0084867879787779767777815463574764
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet88827159999945CAN594100,000$


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
1Nathan WalkerMoose (Win)LW/RW63232750518058571756913013.14%10121719.3346102915700021714136.49%7400000.8214000533
2Pavel KraskovskyMoose (Win)C6318325015115137891513710211.92%5100515.95461032149000061049.88%130300000.9900102320
3Justin DanforthMoose (Win)LW/RW55262248126024581554810616.77%1089116.21358211190002241438.46%7800001.0801000515
4Daniel SprongMoose (Win)LW/RW5620224238026491654610112.12%898317.5751116381350001314152.85%12300000.8504000413
5Mason ShawMoose (Win)C/LW/RW57142539-22556577146321139.59%11102618.01347199700041420052.64%85300100.7611001022
6Brendan GuhleMoose (Win)D608293712380572852164215.38%83114219.0534711780000145000%000000.6500000322
7Pontus AbergMoose (Win)LW/RW3812233552084293275512.90%759315.6247111583000001153.85%6500001.1800000211
8Jarred TinordiMoose (Win)D5242933361599546419376.25%69114922.10167341080000147000%000000.5700001012
9Anthony RichardMoose (Win)LW/RW631418324435874214227979.86%988114.00471132152000001053.52%7100000.7300100313
10Andrei MironovMoose (Win)D5072330-3500755369325010.14%67109721.95437361190000135200%000000.5500000131
11Sami VatanenMoose (Win)D6342630430050365514327.27%62125119.8715620117000069300%000000.4800000110
12Brandon GormleyMoose (Win)D4871825-2160202642203116.67%5996720.160001368000172110%000000.5200000011
13Valentin ZykovMoose (Win)LW/RW6391625780244273276612.33%567710.7500001000001048.24%8500000.7400000111
14Julius NattinenMoose (Win)C44222241014045666420603.13%966615.15055774000001051.72%84500000.7200000021
15Nils AmanMoose (Win)C5471522-210036848125528.64%1869612.911122300041501049.04%88700000.6300000002
16Ryan LombergMoose (Win)LW/RW37148226100365288256415.91%260616.38000290002812154.35%4600000.7300000221
17Anton LindholmMoose (Win)D59319221024043344610336.52%71111118.8513411500001127000%000000.4000000012
18Rasmus KupariMoose (Win)C/LW/RW4571219-140225966246010.61%451411.430112210000281152.50%48000000.7413000101
19Chad KrysMoose (Win)D4349136540632728132114.29%4472216.8100028000145010%000000.3600000110
20Ross ColtonJetsC188513360232248111916.67%230917.1740410430000260049.61%25400000.8401000210
21Lias AnderssonMoose (Win)LW/RW465712-16012185218399.62%347410.3210112000021051.52%3300000.5100000100
22Nick CousinsJetsC/LW/RW22448-31002334478358.51%335115.96022423000152053.50%28600010.4600000110
23Stefan MatteauMoose (Win)C156177801617183533.33%11238.25000000001332048.52%16900101.1300000011
24Nick SorensenMoose (Win)LW/RW23235-1001410227199.09%330913.45000010000681024.00%2500000.3200000000
25Joakim NygardMoose (Win)LW/RW12000-220412070%1635.2600006000000033.33%30000000000000
26James GreenwayMoose (Win)D3000060101010%04615.660000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne11522284156438151030106810771945578137711.72%5661888216.3943761193411635000201518301150.51%568000210.68314204362932
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
1Dylan WellsMoose (Win)51251740.8853.5028106116414250010.71474911211
2Spencer MartinMoose (Win)207910.8943.2099521535010010.80051449010
Statistiques d’équipe totales ou en moyenne71322650.8873.423805822171926002126360221


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
Andrei MironovMoose (Win)D301994-07-29RUSNo194 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien
Anthony RichardMoose (Win)LW/RW281996-12-20CANNo176 Lbs5 ft10NoNoN/ANoNo22024-04-29FalseFalsePro & Farm1,300,000$0$0$No1,300,000$--------1,300,000$--------No--------Lien
Anton LindholmMoose (Win)D301994-11-29SWENo191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,100,000$0$0$No---------------------------Lien
Brandon GormleyMoose (Win)D321992-02-18CANNo196 Lbs6 ft2NoNoFree AgentNoNo32024-07-24FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Brendan GuhleMoose (Win)D271997-07-29CANNo197 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Chad KrysMoose (Win)D261998-04-10USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Daniel SprongMoose (Win)LW/RW271997-03-17NLDNo180 Lbs6 ft0NoNoTrade2024-04-29NoNo22024-04-29FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Dylan WellsMoose (Win)G271998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Felix SandstromMoose (Win)G281997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
James GreenwayMoose (Win)D261998-04-27USANo211 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
Jarred TinordiMoose (Win)D321992-02-20USANo229 Lbs6 ft6NoNoFree AgentNoNo12024-07-02FalseFalsePro & Farm1,800,000$0$0$No---------------------------Lien
Jeremy BraccoMoose (Win)LW/RW271997-03-17USANo185 Lbs5 ft11NoNoN/ANoNo22024-04-29FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Joakim NygardMoose (Win)LW/RW321993-01-08SWENo179 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Julius NattinenMoose (Win)C281997-01-14FINNo192 Lbs6 ft2NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Justin DanforthMoose (Win)LW/RW311993-03-15CANNo188 Lbs5 ft8NoNoFree AgentNoNo22024-07-02FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Lias AnderssonMoose (Win)LW/RW261998-10-13SWENo185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Mason ShawMoose (Win)C/LW/RW261998-11-03CANNo184 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Nathan WalkerMoose (Win)LW/RW301994-02-07AUSNo187 Lbs5 ft9NoNoFree AgentNoNo22024-07-07FalseFalsePro & Farm1,700,000$0$0$No1,700,000$--------1,700,000$--------No--------Lien
Nick SorensenMoose (Win)LW/RW301994-10-23DNKNo182 Lbs6 ft1NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Nils AmanMoose (Win)C242000-02-07SWEYes179 Lbs6 ft2NoNoFree AgentNoNo12024-06-27FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Pavel KraskovskyMoose (Win)C281996-09-11RUSNo185 Lbs6 ft4NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Phil VaroneMoose (Win)LW/RW341990-12-04CANNo169 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Pontus AbergMoose (Win)LW/RW311993-09-23SWENo196 Lbs5 ft11NoNoTrade2024-03-25NoNo22023-12-30FalseFalsePro & Farm3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------Lien
Rasmus KupariMoose (Win)C/LW/RW242000-03-15FINYes201 Lbs6 ft2NoNoProspectNoNo32024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Ryan LombergMoose (Win)LW/RW301994-12-09CANNo187 Lbs5 ft9NoNoN/ANoYes2FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Sami VatanenMoose (Win)D331991-06-03FINNo185 Lbs5 ft10NoNoFree AgentNoNo32024-07-22FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Spencer MartinMoose (Win)G291995-06-08CANNo205 Lbs6 ft3NoNoN/ANoNo32024-04-29FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien
Stefan MatteauMoose (Win)C301994-02-23USANo220 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Valentin ZykovMoose (Win)LW/RW291995-05-15RUSNo220 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Vladimir TkachyovMoose (Win)LW/RW291995-10-05RUSNo141 Lbs5 ft9NoNoN/ANoNo22024-04-29FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3028.80190 Lbs6 ft01.831,243,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pontus AbergPavel KraskovskyDaniel Sprong30023
2Justin DanforthJulius NattinenNathan Walker30023
3Ryan LombergRasmus KupariMason Shaw20122
4Anthony RichardNils AmanValentin Zykov20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sami VatanenChad Krys35041
2Jarred TinordiBrandon Gormley35041
3Anton LindholmBrendan Guhle30041
4Anton LindholmSami Vatanen0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel SprongPavel KraskovskyPontus Aberg50005
2Justin DanforthJulius NattinenNathan Walker50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad KrysBrendan Guhle50014
2Sami VatanenAnton Lindholm50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanRyan Lomberg50050
2Mason ShawNathan Walker50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiChad Krys50050
2Sami VatanenBrendan Guhle50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Jarred TinordiChad Krys50050
2Rasmus Kupari50050Sami VatanenBrendan Guhle50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Julius NattinenPontus Aberg50014
2Mason ShawDaniel Sprong50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chad KrysJarred Tinordi50041
2Sami VatanenBrandon Gormley50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pontus AbergPavel KraskovskyJustin DanforthJarred TinordiChad Krys
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerNils AmanMason ShawJarred TinordiChad Krys
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pontus Aberg, Mason Shaw, Nathan WalkerJustin Danforth, Mason ShawNils Aman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarred Tinordi, Chad Krys, Sami VatanenChad KrysJarred Tinordi, Chad Krys
Tirs de pénalité
Pontus Aberg, Nathan Walker, Rasmus Kupari, Mason Shaw, Pavel Kraskovsky
Gardien
#1 : Dylan Wells, #2 : Spencer Martin


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
1Americans31100010111101100000041320100010710-340.667111829007958815896116246492686321850900.00%9366.67%01058213849.49%1147218052.61%538106650.47%147210031504477833409
2Bears413000001115-42110000075220200000410-620.2501121320079588151256116246492612146246013215.38%11281.82%01058213849.49%1147218052.61%538106650.47%147210031504477833409
3BruinsF5210001125214220000001376301000111214-270.7002547720079588151476116246492617046469112541.67%22577.27%01058213849.49%1147218052.61%538106650.47%147210031504477833409
4Canucks10001000541100010005410000000000021.0005914007958815396116246492631121017500.00%50100.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
5Checkers413000001520-520200000912-32110000068-220.2501528431079588151236116246492611432346812216.67%13469.23%01058213849.49%1147218052.61%538106650.47%147210031504477833409
6Comets43001000191272100100097222000000105581.0001934530079588151506116246492611132316716425.00%12466.67%01058213849.49%1147218052.61%538106650.47%147210031504477833409
7Crunch21100000880211000008800000000000020.500815230079588156661162464926561116306233.33%8275.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
8Eagles1010000024-21010000024-20000000000000.0002461079588152761162464926286817200.00%3166.67%01058213849.49%1147218052.61%538106650.47%147210031504477833409
9Firebirds412000011216-42110000046-220100001810-230.3751222340079588151106116246492613239336111327.27%13469.23%01058213849.49%1147218052.61%538106650.47%147210031504477833409
10Griffins11000000431110000004310000000000021.0004812007958815276116246492633126124250.00%30100.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
11Gulls11000000541000000000001100000054121.0005813007958815366116246492626612174250.00%6266.67%01058213849.49%1147218052.61%538106650.47%147210031504477833409
12Icehogs11000000642000000000001100000064221.0006111700795881542611624649263411811200.00%4250.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
13Iowa Wild1010000034-11010000034-10000000000000.00036900795881523611624649263372104250.00%000%01058213849.49%1147218052.61%538106650.47%147210031504477833409
14Islanders54000100191183200010011742200000084490.900193554017958815160611624649261614244841119.09%17382.35%01058213849.49%1147218052.61%538106650.47%147210031504477833409
15Marlies4210010013112210001007522110000066050.625132538007958815131611624649261113222731700.00%10190.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
16PenguinsF413000001318-52110000087120200000511-620.250132336007958815996116246492611138307711327.27%13469.23%01058213849.49%1147218052.61%538106650.47%147210031504477833409
17Phantoms21100000743000000000002110000074320.50071320007958815456116246492672261629300.00%8187.50%01058213849.49%1147218052.61%538106650.47%147210031504477833409
18Rocket4310000012120220000008352110000049-560.7501224360179588151136116246492612429377312433.33%15566.67%01058213849.49%1147218052.61%538106650.47%147210031504477833409
19SenatorsF2110000056-1110000004221010000014-320.50051015007958815646116246492656111630500.00%7357.14%01058213849.49%1147218052.61%538106650.47%147210031504477833409
20Silver Knights1010000002-21010000002-20000000000000.00000000795881525611624649262991216100.00%5180.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
21StarsF1010000024-2000000000001010000024-200.00023500795881525611624649262351020300.00%5180.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
22Thunderbirds11000000321000000000001100000032121.000369007958815266116246492638910173133.33%5180.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
23Wolf Pack42200000111101010000002-232100000119240.5001119300079588151206116246492612343386913430.77%19384.21%01058213849.49%1147218052.61%538106650.47%147210031504477833409
24Wolves20200000810-20000000000020200000810-200.000815230079588154961162464926711921354125.00%70100.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
25Wranglers1000010034-11000010034-10000000000010.50036900795881536611624649263498115120.00%4175.00%01058213849.49%1147218052.61%538106650.47%147210031504477833409
Total63282602322222221130151002300109931633131600022113128-15690.548222410632227958815189761162464926192856451210451883920.74%2245376.34%01058213849.49%1147218052.61%538106650.47%147210031504477833409
_Since Last GM Reset63282602322222221130151002300109931633131600022113128-15690.548222410632227958815189761162464926192856451210451883920.74%2245376.34%01058213849.49%1147218052.61%538106650.47%147210031504477833409
_Vs Conference53242201222189186324147012009272202910150002297114-17580.54718934953812795881515916116246492616194784268971553120.00%1844476.09%01058213849.49%1147218052.61%538106650.47%147210031504477833409

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6369W222241063218971928564512104522
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6328262322222221
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
301510230010993
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3313160022113128
Derniers 10 matchs
WLOTWOTL SOWSOL
621010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1883920.74%2245376.34%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
611624649267958815
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
1058213849.49%1147218052.61%538106650.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
147210031504477833409


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-053Moose2Wolf Pack5LSommaire du match
3 - 2024-09-0721Islanders3Moose6WSommaire du match
5 - 2024-09-0933Moose3Firebirds4LXXSommaire du match
7 - 2024-09-1150Moose1Marlies2LSommaire du match
8 - 2024-09-1253Moose3BruinsF5LSommaire du match
10 - 2024-09-1465Wolf Pack2Moose0LSommaire du match
13 - 2024-09-1792Firebirds4Moose0LSommaire du match
15 - 2024-09-19106Moose5Comets3WSommaire du match
17 - 2024-09-21122Moose4Wolf Pack2WSommaire du match
18 - 2024-09-22130Bears2Moose5WSommaire du match
21 - 2024-09-25150Moose5Marlies4WSommaire du match
22 - 2024-09-26160Crunch2Moose5WSommaire du match
26 - 2024-09-30188Rocket0Moose4WSommaire du match
28 - 2024-10-02206Moose5Wolves6LSommaire du match
30 - 2024-10-04219Moose3Islanders0WSommaire du match
31 - 2024-10-05225Marlies1Moose4WSommaire du match
34 - 2024-10-08241Moose6Phantoms2WSommaire du match
36 - 2024-10-10255Americans1Moose4WSommaire du match
39 - 2024-10-13280Moose3Thunderbirds2WSommaire du match
40 - 2024-10-14286Comets3Moose4WSommaire du match
43 - 2024-10-17306Moose6Icehogs4WSommaire du match
45 - 2024-10-19317Moose4PenguinsF7LSommaire du match
46 - 2024-10-20325Rocket3Moose4WSommaire du match
49 - 2024-10-23349Silver Knights2Moose0LSommaire du match
53 - 2024-10-27379Moose1PenguinsF4LSommaire du match
54 - 2024-10-28385Eagles4Moose2LSommaire du match
57 - 2024-10-31408Crunch6Moose3LSommaire du match
59 - 2024-11-02420Moose1SenatorsF4LSommaire du match
62 - 2024-11-05440PenguinsF3Moose5WSommaire du match
64 - 2024-11-07451Moose1Bears6LSommaire du match
66 - 2024-11-09464Moose2StarsF4LSommaire du match
67 - 2024-11-10478Griffins3Moose4WSommaire du match
70 - 2024-11-13497Moose5Wolf Pack2WSommaire du match
72 - 2024-11-15510Marlies4Moose3LXSommaire du match
74 - 2024-11-17526Moose5Firebirds6LSommaire du match
76 - 2024-11-19540Bears3Moose2LSommaire du match
79 - 2024-11-22564Moose5Comets2WSommaire du match
80 - 2024-11-23573Wranglers4Moose3LXSommaire du match
83 - 2024-11-26596Moose5BruinsF4WXXSommaire du match
85 - 2024-11-28604Checkers7Moose5LSommaire du match
86 - 2024-11-29618Moose4BruinsF5LXXSommaire du match
88 - 2024-12-01637Islanders3Moose2LXSommaire du match
91 - 2024-12-04655Moose5Islanders4WSommaire du match
93 - 2024-12-06670PenguinsF4Moose3LSommaire du match
96 - 2024-12-09692Moose1Checkers6LSommaire du match
98 - 2024-12-11700Iowa Wild4Moose3LSommaire du match
100 - 2024-12-13724Moose1Phantoms2LSommaire du match
102 - 2024-12-15733Comets4Moose5WXSommaire du match
106 - 2024-12-19759SenatorsF2Moose4WSommaire du match
108 - 2024-12-21778Moose5Gulls4WSommaire du match
110 - 2024-12-23790Checkers5Moose4LSommaire du match
112 - 2024-12-25803Moose3Wolves4LSommaire du match
114 - 2024-12-27821Moose0Rocket6LSommaire du match
116 - 2024-12-29831BruinsF4Moose7WSommaire du match
118 - 2024-12-31846Moose3Bears4LSommaire du match
119 - 2025-01-01859Moose3Americans7LSommaire du match
121 - 2025-01-03868Firebirds2Moose4WSommaire du match
124 - 2025-01-06890Moose4Americans3WXXSommaire du match
125 - 2025-01-07896Islanders1Moose3WSommaire du match
127 - 2025-01-09919Moose4Rocket3WSommaire du match
129 - 2025-01-11931Canucks4Moose5WXSommaire du match
131 - 2025-01-13950Moose5Checkers2WSommaire du match
133 - 2025-01-15962BruinsF3Moose6WSommaire du match
136 - 2025-01-18983Moose-Crunch-
137 - 2025-01-19992Wolves-Moose-
139 - 2025-01-211012Moose-Marlies-
141 - 2025-01-231024SenatorsF-Moose-
144 - 2025-01-261041Moose-Barracuda-
145 - 2025-01-271056Wolves-Moose-
148 - 2025-01-301078Moose-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-02-011087Admirals-Moose-
153 - 2025-02-041114Monsters-Moose-
156 - 2025-02-071133Moose-Crunch-
158 - 2025-02-091146Americans-Moose-
161 - 2025-02-121166Moose-SenatorsF-
163 - 2025-02-141181Phantoms-Moose-
165 - 2025-02-161194Moose-Iowa Wild-
168 - 2025-02-191212Reign-Moose-
173 - 2025-02-241242Phantoms-Moose-
174 - 2025-02-251245Moose-Condors-
178 - 2025-03-011275Wolf Pack-Moose-
182 - 2025-03-051299Wolf Pack-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance55,57326,253
Assistance PCT92.62%87.51%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2728 - 90.92% 106,245$3,187,357$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,889,984$ 5,890,000$ 5,890,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,816,989$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,168,698$ 50 32,378$ 1,618,900$




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
1Andrei Mironov13229741031510619212920813.94%166293522.241611271160000510%00.7000
2Mason Shaw13633701033891662413569.27%29260219.14620266003382151.96%00.7926
3Pavel Kraskovsky128395493110425218929413.27%15207316.20913226110113150.58%00.9012
4Ryan Lomberg118483280194315613529416.33%17196016.62571223202102453.80%30.82314
5Anthony Richard1323540759731999131711.04%19217516.48815236500035245.52%10.6901

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
1Spencer Martin82343160.8863.3342364323520540310.76146
2Dylan Wells78332680.8933.2141486322220670010.66724
3Felix Sandstrom91510.8444.6241600322050000.6005

Moose Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
1582253606159261281-2041151703114127132-541101903045134149-158226146072104928177212543851822821114240068767913422645821.97%2706277.04%61470283051.94%1416280150.55%750140153.53%1997137119146151092549
1663282602322222221130151002300109931633131600022113128-1569222410632227958815189761162464926192856451210451883920.74%2245376.34%01058213849.49%1147218052.61%538106650.47%147210031504477833409
Total Saison régulière1455362084711483502-19713027054142362251174233503067247277-3015148387013532617113915826444014621446147014043281251119123874529721.46%49411576.72%62528496850.89%2563498151.46%1288246752.21%34692374341910931925958
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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