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Moose
GP: 42 | W: 20 | L: 17 | OTL: 5 | P: 45
GF: 144 | GA: 143 | PP%: 19.53% | PK%: 76.97%
DG: Eric Pilon | Morale : 46 | Moyenne d’équipe : 64
Prochains matchs #655 vs Islanders
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Centre de jeu
Moose
20-17-5, 45pts
4
FINAL
5 BruinsF
19-15-7, 45pts
Team Stats
OTL1SéquenceW1
10-7-3Fiche domicile12-6-3
10-10-2Fiche domicile7-9-4
3-3-4Derniers 10 matchs4-3-3
3.43Buts par match 3.27
3.40Buts contre par match 3.37
19.53%Pourcentage en avantage numérique25.38%
76.97%Pourcentage en désavantage numérique78.99%
Islanders
26-11-3, 55pts
3
FINAL
2 Moose
20-17-5, 45pts
Team Stats
OTW2SéquenceOTL1
12-6-2Fiche domicile10-7-3
14-5-1Fiche domicile10-10-2
7-2-1Derniers 10 matchs3-3-4
3.60Buts par match 3.43
3.00Buts contre par match 3.40
27.20%Pourcentage en avantage numérique19.53%
80.85%Pourcentage en désavantage numérique76.97%
Moose
20-17-5, 45pts
2024-12-02
Islanders
26-11-3, 55pts
Statistiques d’équipe
OTL1SéquenceOTW2
10-7-3Fiche domicile12-6-2
10-10-2Fiche visiteur14-5-1
3-3-410 derniers matchs7-2-1
3.43Buts par match 3.60
3.40Buts contre par match 3.60
19.53%Pourcentage en avantage numérique27.20%
76.97%Pourcentage en désavantage numérique80.85%
PenguinsF
21-18-2, 44pts
2024-12-04
Moose
20-17-5, 45pts
Statistiques d’équipe
W2SéquenceOTL1
11-9-1Fiche domicile10-7-3
10-9-1Fiche visiteur10-10-2
7-3-010 derniers matchs3-3-4
3.54Buts par match 3.43
3.29Buts contre par match 3.43
22.66%Pourcentage en avantage numérique19.53%
75.20%Pourcentage en désavantage numérique76.97%
Moose
20-17-5, 45pts
2024-12-07
Checkers
28-10-3, 59pts
Statistiques d’équipe
OTL1SéquenceW1
10-7-3Fiche domicile14-4-2
10-10-2Fiche visiteur14-6-1
3-3-410 derniers matchs7-2-1
3.43Buts par match 3.85
3.40Buts contre par match 3.85
19.53%Pourcentage en avantage numérique25.37%
76.97%Pourcentage en désavantage numérique80.91%
Meneurs d'équipe
Buts
Nathan Walker
15
Passes
Brendan Guhle
20
Points
Nathan Walker
32
Plus/Moins
Julius Nattinen
13
Victoires
Dylan Wells
17
Pourcentage d’arrêts
Spencer Martin
0.888

Statistiques d’équipe
Buts pour
144
3.43 GFG
Tirs pour
1285
30.60 Avg
Pourcentage en avantage numérique
19.5%
25 GF
Début de zone offensive
40.6%
Buts contre
143
3.40 GAA
Tirs contre
1237
29.45 Avg
Pourcentage en désavantage numérique
77.0%%
35 GA
Début de la zone défensive
40.3%
Informations de l'équipe

Directeur généralEric Pilon
EntraîneurRick Tocchet
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,880
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure19
Limite contact 47 / 56
Espoirs43


Historique d'équipe

Saison actuelle20-17-5 (45PTS)
Historique56-53-17 (0.444%)
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
1Justin DanforthXX100.0070458875688183737274717369574950656603121,700,000$
2Nathan WalkerXX100.0074558775687577727271717269584953566603021,700,000$
3Ryan LombergXX100.0074617575687892727069737170625256616602921,500,000$
4Valentin ZykovXX100.0061468971737479687071696967665655566502911,500,000$
5Mason ShawXXX99.007171827267748672777471736753476052650262900,000$
6Pavel KraskovskyX100.0077676972707576707173707068605357606502811,200,000$
7Anthony RichardXX100.0074457172677674707069726663595457596502721,300,000$
8Rasmus Kupari (R)XXX100.006745928471697369716361725560457062640243900,000$
9Nick SorensenXX100.0061478572725972676366666462725653186303031,000,000$
10Lias AnderssonXX100.006245867269727268696969636058456034630262750,000$
11Nils Aman (R)X100.006645917568707957716968776855457036630241900,000$
12Julius NattinenX100.007045827270727167756964715956495739630272900,000$
13Andrei MironovX100.0068458171727478754571647754685852666703032,500,000$
14Sami VatanenX100.0061459871696868694567666964726546566503331,500,000$
15Brandon GormleyX100.0059459370727074694566657163634946356403231,200,000$
16Brendan GuhleX100.006544867270707364456565725455486056630271750,000$
17Anton LindholmX99.8263449371706879694567647263554556486303011,100,000$
18Chad KrysX100.006752877068686760456263705750486041610261750,000$
Rayé
1Pontus AbergXX64.7056429373717588746274717167756051496703123,000,000$
2Stefan MatteauX100.0082596968756374637364657262695349306303021,000,000$
3Joakim NygardXX100.0061458972676779666868696570685445196303111,200,000$
4Jeremy BraccoXX100.006145917268647365676763656259516020620272800,000$
5Vladimir TkachyovXX100.006045827266656965586966616459515420610292700,000$
6Phil VaroneXX100.0063448870656968656464676668595043206103311,000,000$
7James GreenwayX100.007248787274706656455858665749486020600261750,000$
MOYENNE D’ÉQUIPE98.48674985727071766762686770636151554364
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 Martin100.008488818078777976767585617154576502931,500,000$
2Dylan Wells100.00848479797980817981857949526047650262750,000$
Rayé
1Felix Sandstrom100.00858673797873787373728053655729630271750,000$
MOYENNE D’ÉQUIPE100.0084867879787779767777815463574464
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/RW42151732101004037113427613.27%480619.203361910800021142136.73%4900000.7903000422
2Daniel SprongMoose (Win)LW/RW381714313802235116287114.66%364617.01571228940001203153.01%8300000.9603000312
3Pontus AbergMoose (Win)LW/RW3312193122063887234113.79%750615.3647111575000001160.71%2800001.2200000211
4Pavel KraskovskyMoose (Win)C42121931230109462100216512.00%467015.953361897000061049.83%85900000.9300101210
5Jarred TinordiJetsD4132629549574405416315.56%5591922.43167301040000116000%000000.6300001002
6Justin DanforthJetsLW/RW34121123920132988275613.64%652215.380118650002211140.00%5000000.8801000311
7Mason ShawMoose (Win)C/LW/RW3681422416044539423788.51%465718.2733618890002850052.67%71200000.6711000021
8Brendan GuhleMoose (Win)D4222022626044193611235.56%5278618.740335380000103000%000000.5600000011
9Andrei MironovMoose (Win)D3431821432052345120315.88%4575322.172352885000093000%000000.5600000111
10Ryan LombergMoose (Win)LW/RW35127196100354986245713.95%257616.48000260002752053.33%4500000.6600000121
11Anthony RichardMoose (Win)LW/RW4281119-131562209318618.60%760814.4923517108000001051.02%4900000.6200100203
12Sami VatanenMoose (Win)D4231518120032253092210.00%3681919.511341181000033200%000000.4400000010
13Julius NattinenMoose (Win)C2621416138028373111306.45%636113.90022232000001048.77%44700000.8900000020
14Valentin ZykovMoose (Win)LW/RW427815380122849164614.29%343810.4400001000000045.61%5700000.6800000101
15Nils AmanMoose (Win)C3431013-86020605113325.88%1343512.82011120000900050.26%56700000.6000000001
16Anton LindholmMoose (Win)D381121351202924225134.55%5068818.1100013000193000%000000.3800000002
17Brandon GormleyMoose (Win)D276612-36071127131422.22%3754420.15000533000143110%000000.4400000011
18Chad KrysMoose (Win)D28279836043181591113.33%2745216.1500000000117010%000000.4000000100
19Rasmus KupariMoose (Win)C/LW/RW24268-1001230359335.71%227911.660112210000250052.91%20600000.5712000000
20Nick CousinsJetsC/LW/RW22448-31002334478358.51%335115.96022423000152053.50%28600010.4600000110
21Lias AnderssonMoose (Win)LW/RW28347-24010133313269.09%128710.2510112000010052.94%1700000.4900000000
22Stefan MatteauMoose (Win)C126177801617183533.33%112310.32000000001332048.52%16900101.1300000011
23Nick SorensenMoose (Win)LW/RW7022-100537290%09613.82000010000200033.33%900000.4100000000
24Joakim NygardMoose (Win)LW/RW7000-200312070%1497.0100004000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne7561432654086733420726717128536487311.13%3691238216.38254873215108000014100219650.52%363600110.66210202211821
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)3417940.8873.261861411018970010.71473210200
2Spencer MartinMoose (Win)143810.8883.3867421383380010.50021032010
Statistiques d’équipe totales ou en moyenne48201750.8873.29253662139123500294242210


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/RW271996-12-20CANNo176 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
Dylan WellsMoose (Win)G261998-01-03CANNo190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Felix SandstromMoose (Win)G271997-01-12SWENo191 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
James GreenwayMoose (Win)D261998-04-27USANo211 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
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/RW311993-01-08SWENo179 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Julius NattinenMoose (Win)C271997-01-14FINNo192 Lbs6 ft2NoNoN/ANoNo22024-04-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Justin DanforthJetsLW/RW311993-03-15CANNo188 Lbs5 ft8NoNoFree AgentNoNo22024-07-02FalseFalsePro & Farm1,700,000$1,700,000$872,973$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/RW331990-12-04CANNo169 Lbs5 ft8NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Pontus Aberg (sur la masse salariale)Moose (Win)LW/RW311993-09-23SWENo196 Lbs5 ft11NoNoTrade2024-03-25NoNo22023-12-30FalseFalsePro & Farm3,000,000$0$0$Yes3,000,000$--------3,000,000$--------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/RW291994-12-09CANNo187 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & 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
2828.50189 Lbs6 ft01.861,196,429$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan WalkerPavel KraskovskyJustin Danforth30023
2Mason ShawJulius NattinenRyan Lomberg30023
3Anthony RichardRasmus KupariLias Andersson20122
4Nick SorensenNils AmanValentin Zykov20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton LindholmAndrei Mironov35041
2Sami VatanenBrandon Gormley35041
3Brendan GuhleChad Krys30041
4Anton LindholmBrendan Guhle0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin DanforthPavel KraskovskyNathan Walker50005
2Anthony RichardJulius NattinenRyan Lomberg50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrei MironovBrandon Gormley50014
2Brendan GuhleAnton Lindholm50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanNick Sorensen50050
2Mason ShawNathan Walker50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Anton LindholmAndrei Mironov50050
2Brendan GuhleChad Krys50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Anton LindholmAndrei Mironov50050
2Rasmus Kupari50050Brendan GuhleChad Krys50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Julius NattinenJustin Danforth50014
2Rasmus KupariAnthony Richard50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrei MironovAnton Lindholm50041
2Sami VatanenBrandon Gormley50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerPavel KraskovskyJustin DanforthAndrei MironovAnton Lindholm
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNils AmanMason ShawAndrei MironovAnton Lindholm
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Justin Danforth, Mason Shaw, Nathan WalkerJustin Danforth, Mason ShawNils Aman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anton Lindholm, Andrei Mironov, Sami VatanenBrandon GormleyAnton Lindholm, Brandon Gormley
Tirs de pénalité
Justin Danforth, Nathan Walker, Rasmus Kupari, Mason Shaw, Pavel Kraskovsky
Gardien
#1 : Dylan Wells, #2 : Spencer Martin, #3 : 0


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
1Americans11000000413110000004130000000000021.00047110052355623441341645115105217400.00%110.00%0724146549.42%768145652.75%34568850.15%985669999321554271
2Bears31200000811-3211000007521010000016-520.333815230052355628941341645115863620439222.22%10280.00%0724146549.42%768145652.75%34568850.15%985669999321554271
3BruinsF301000111214-200000000000301000111214-230.50012223400523556287413416451151033428618337.50%13469.23%0724146549.42%768145652.75%34568850.15%985669999321554271
4Checkers1010000057-21010000057-20000000000000.00059141052355623441341645115341012224125.00%5180.00%0724146549.42%768145652.75%34568850.15%985669999321554271
5Comets3300000014861100000043122000000105561.000142640005235562110413416451156824215414321.43%8362.50%0724146549.42%768145652.75%34568850.15%985669999321554271
6Crunch21100000880211000008800000000000020.500815230052355626641341645115561116306233.33%8275.00%0724146549.42%768145652.75%34568850.15%985669999321554271
7Eagles1010000024-21010000024-20000000000000.0002461052355622741341645115286817200.00%3166.67%0724146549.42%768145652.75%34568850.15%985669999321554271
8Firebirds30200001814-61010000004-420100001810-210.1678142200523556287413416451151043120526116.67%9366.67%0724146549.42%768145652.75%34568850.15%985669999321554271
9Griffins11000000431110000004310000000000021.0004812005235562274134164511533126124250.00%30100.00%0724146549.42%768145652.75%34568850.15%985669999321554271
10Icehogs11000000642000000000001100000064221.0006111700523556242413416451153411811200.00%4250.00%0724146549.42%768145652.75%34568850.15%985669999321554271
11Islanders320001001165210001008621100000030350.833112031015235562914134164511588182956600.00%12283.33%0724146549.42%768145652.75%34568850.15%985669999321554271
12Marlies4210010013112210001007522110000066050.625132538005235562131413416451151113222731700.00%10190.00%0724146549.42%768145652.75%34568850.15%985669999321554271
13PenguinsF312000001014-41100000053220200000511-620.3331017270052355628141341645115743018608225.00%7357.14%0724146549.42%768145652.75%34568850.15%985669999321554271
14Phantoms11000000624000000000001100000062421.0006111700523556227413416451153881210100.00%6183.33%0724146549.42%768145652.75%34568850.15%985669999321554271
15Rocket22000000835220000008350000000000041.000816240152355626041341645115621619457228.57%70100.00%0724146549.42%768145652.75%34568850.15%985669999321554271
16SenatorsF1010000014-3000000000001010000014-300.0001230052355622641341645115274816300.00%4250.00%0724146549.42%768145652.75%34568850.15%985669999321554271
17Silver Knights1010000002-21010000002-20000000000000.00000000523556225413416451152991216100.00%5180.00%0724146549.42%768145652.75%34568850.15%985669999321554271
18StarsF1010000024-2000000000001010000024-200.00023500523556225413416451152351020300.00%5180.00%0724146549.42%768145652.75%34568850.15%985669999321554271
19Thunderbirds11000000321000000000001100000032121.000369005235562264134164511538910173133.33%5180.00%0724146549.42%768145652.75%34568850.15%985669999321554271
20Wolf Pack42200000111101010000002-232100000119240.5001119300052355621204134164511512343386913430.77%19384.21%0724146549.42%768145652.75%34568850.15%985669999321554271
21Wolves1010000056-1000000000001010000056-100.0005914005235562344134164511534613142150.00%40100.00%0724146549.42%768145652.75%34568850.15%985669999321554271
22Wranglers1000010034-11000010034-10000000000010.50036900523556236413416451153498115120.00%4175.00%0724146549.42%768145652.75%34568850.15%985669999321554271
Total42191700312144143120107003006560522910000127983-4450.53614426540922523556212854134164511512373693407261282519.53%1523576.97%0724146549.42%768145652.75%34568850.15%985669999321554271
_Since Last GM Reset42191700312144143120107003006560522910000127983-4450.53614426540922523556212854134164511512373693407261282519.53%1523576.97%0724146549.42%768145652.75%34568850.15%985669999321554271
_Vs Conference351614002121241204169500200564791979000126873-5380.54312422735112523556210774134164511510183082786221082119.44%1232877.24%0724146549.42%768145652.75%34568850.15%985669999321554271

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4245OTL11442654091285123736934072622
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4219170312144143
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2010703006560
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2291000127983
Derniers 10 matchs
WLOTWOTL SOWSOL
230311
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1282519.53%1523576.97%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
413416451155235562
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
724146549.42%768145652.75%34568850.15%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
985669999321554271


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 - 2024-09-033Moose2Wolf Pack5LSommaire du match
3 - 2024-09-0521Islanders3Moose6WSommaire du match
5 - 2024-09-0733Moose3Firebirds4LXXSommaire du match
7 - 2024-09-0950Moose1Marlies2LSommaire du match
8 - 2024-09-1053Moose3BruinsF5LSommaire du match
10 - 2024-09-1265Wolf Pack2Moose0LSommaire du match
13 - 2024-09-1592Firebirds4Moose0LSommaire du match
15 - 2024-09-17106Moose5Comets3WSommaire du match
17 - 2024-09-19122Moose4Wolf Pack2WSommaire du match
18 - 2024-09-20130Bears2Moose5WSommaire du match
21 - 2024-09-23150Moose5Marlies4WSommaire du match
22 - 2024-09-24160Crunch2Moose5WSommaire du match
26 - 2024-09-28188Rocket0Moose4WSommaire du match
28 - 2024-09-30206Moose5Wolves6LSommaire du match
30 - 2024-10-02219Moose3Islanders0WSommaire du match
31 - 2024-10-03225Marlies1Moose4WSommaire du match
34 - 2024-10-06241Moose6Phantoms2WSommaire du match
36 - 2024-10-08255Americans1Moose4WSommaire du match
39 - 2024-10-11280Moose3Thunderbirds2WSommaire du match
40 - 2024-10-12286Comets3Moose4WSommaire du match
43 - 2024-10-15306Moose6Icehogs4WSommaire du match
45 - 2024-10-17317Moose4PenguinsF7LSommaire du match
46 - 2024-10-18325Rocket3Moose4WSommaire du match
49 - 2024-10-21349Silver Knights2Moose0LSommaire du match
53 - 2024-10-25379Moose1PenguinsF4LSommaire du match
54 - 2024-10-26385Eagles4Moose2LSommaire du match
57 - 2024-10-29408Crunch6Moose3LSommaire du match
59 - 2024-10-31420Moose1SenatorsF4LSommaire du match
62 - 2024-11-03440PenguinsF3Moose5WSommaire du match
64 - 2024-11-05451Moose1Bears6LSommaire du match
66 - 2024-11-07464Moose2StarsF4LSommaire du match
67 - 2024-11-08478Griffins3Moose4WSommaire du match
70 - 2024-11-11497Moose5Wolf Pack2WSommaire du match
72 - 2024-11-13510Marlies4Moose3LXSommaire du match
74 - 2024-11-15526Moose5Firebirds6LSommaire du match
76 - 2024-11-17540Bears3Moose2LSommaire du match
79 - 2024-11-20564Moose5Comets2WSommaire du match
80 - 2024-11-21573Wranglers4Moose3LXSommaire du match
83 - 2024-11-24596Moose5BruinsF4WXXSommaire du match
85 - 2024-11-26604Checkers7Moose5LSommaire du match
86 - 2024-11-27618Moose4BruinsF5LXXSommaire du match
88 - 2024-11-29637Islanders3Moose2LXSommaire du match
91 - 2024-12-02655Moose-Islanders-
93 - 2024-12-04670PenguinsF-Moose-
96 - 2024-12-07692Moose-Checkers-
98 - 2024-12-09700Iowa Wild-Moose-
100 - 2024-12-11724Moose-Phantoms-
102 - 2024-12-13733Comets-Moose-
106 - 2024-12-17759SenatorsF-Moose-
108 - 2024-12-19778Moose-Gulls-
110 - 2024-12-21790Checkers-Moose-
112 - 2024-12-23803Moose-Wolves-
114 - 2024-12-25821Moose-Rocket-
116 - 2024-12-27831BruinsF-Moose-
118 - 2024-12-29846Moose-Bears-
119 - 2024-12-30859Moose-Americans-
121 - 2025-01-01868Firebirds-Moose-
124 - 2025-01-04890Moose-Americans-
125 - 2025-01-05896Islanders-Moose-
127 - 2025-01-07919Moose-Rocket-
129 - 2025-01-09931Canucks-Moose-
131 - 2025-01-11950Moose-Checkers-
133 - 2025-01-13962BruinsF-Moose-
136 - 2025-01-16983Moose-Crunch-
137 - 2025-01-17992Wolves-Moose-
139 - 2025-01-191012Moose-Marlies-
141 - 2025-01-211024SenatorsF-Moose-
144 - 2025-01-241041Moose-Barracuda-
145 - 2025-01-251056Wolves-Moose-
148 - 2025-01-281078Moose-Roadrunners-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301087Admirals-Moose-
153 - 2025-02-021114Monsters-Moose-
156 - 2025-02-051133Moose-Crunch-
158 - 2025-02-071146Americans-Moose-
161 - 2025-02-101166Moose-SenatorsF-
163 - 2025-02-121181Phantoms-Moose-
165 - 2025-02-141194Moose-Iowa Wild-
168 - 2025-02-171212Reign-Moose-
173 - 2025-02-221242Phantoms-Moose-
174 - 2025-02-231245Moose-Condors-
178 - 2025-02-271275Wolf Pack-Moose-
182 - 2025-03-031299Wolf Pack-Moose-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance38,46419,139
Assistance PCT96.16%95.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2880 - 96.01% 107,355$2,147,098$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,848,279$ 3,890,000$ 3,890,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,799,613$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,254,453$ 95 21,568$ 2,048,960$




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 Mironov116256994228816911019013.16%144259122.341411251080000310%00.7300
2Mason Shaw1152759869801452173048.88%22223419.43619255903362151.94%00.7726
3Ryan Lomberg116463177194315513229215.75%17193116.65571223202102353.53%30.80314
4Pavel Kraskovsky10733417428320916224313.58%14173816.25810184710113150.70%00.8512
5Yegor Chinakhov8021527351847982608.08%16146918.37516215600003446.67%00.99312

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 Martin76303060.8843.3739154322018910310.74443
2Dylan Wells61251880.8972.9831994315915390010.66724
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
1642191700312144143120107003006560522910000127983-44514426540922523556212854134164511512373693407261282519.53%1523576.97%0724146549.42%768145652.75%34568850.15%985669999321554271
Total Saison régulière1244453064611405424-1961252403414192192063192903057213232-1912740572511302614411613323382812641238127212936371056101920683928321.17%4229777.01%62194429551.08%2184425751.30%1095208952.42%2982204029149371646820
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