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Moose
GP: 37 | W: 19 | L: 16 | OTL: 2 | P: 40
GF: 125 | GA: 120 | PP%: 18.52% | PK%: 77.44%
DG: Eric Pilon | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #573 vs Wranglers
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Centre de jeu
Bears
18-12-3, 39pts
3
FINAL
2 Moose
19-16-2, 40pts
Team Stats
W4SéquenceW1
10-6-2Fiche domicile10-6-1
8-6-1Fiche domicile9-10-1
8-2-0Derniers 10 matchs4-5-1
3.15Buts par match 3.38
3.21Buts contre par match 3.24
21.19%Pourcentage en avantage numérique18.52%
80.49%Pourcentage en désavantage numérique77.44%
Moose
19-16-2, 40pts
5
FINAL
2 Comets
11-21-4, 26pts
Team Stats
W1SéquenceL7
10-6-1Fiche domicile6-10-2
9-10-1Fiche domicile5-11-2
4-5-1Derniers 10 matchs2-7-1
3.38Buts par match 2.97
3.24Buts contre par match 4.08
18.52%Pourcentage en avantage numérique23.68%
77.44%Pourcentage en désavantage numérique72.64%
Wranglers
20-12-3, 43pts
2024-11-21
Moose
19-16-2, 40pts
Statistiques d’équipe
W1SéquenceW1
11-6-1Fiche domicile10-6-1
9-6-2Fiche visiteur9-10-1
6-4-010 derniers matchs4-5-1
3.40Buts par match 3.38
3.09Buts contre par match 3.38
13.27%Pourcentage en avantage numérique18.52%
80.39%Pourcentage en désavantage numérique77.44%
Moose
19-16-2, 40pts
2024-11-24
BruinsF
17-13-6, 40pts
Statistiques d’équipe
W1SéquenceL1
10-6-1Fiche domicile10-6-2
9-10-1Fiche visiteur7-7-4
4-5-110 derniers matchs4-2-4
3.38Buts par match 3.25
3.24Buts contre par match 3.25
18.52%Pourcentage en avantage numérique26.27%
77.44%Pourcentage en désavantage numérique81.44%
Checkers
25-9-2, 52pts
2024-11-26
Moose
19-16-2, 40pts
Statistiques d’équipe
W3SéquenceW1
12-3-2Fiche domicile10-6-1
13-6-0Fiche visiteur9-10-1
7-2-110 derniers matchs4-5-1
3.75Buts par match 3.38
3.06Buts contre par match 3.38
25.21%Pourcentage en avantage numérique18.52%
80.68%Pourcentage en désavantage numérique77.44%
Meneurs d'équipe
Buts
Daniel Sprong
15
Passes
Jarred Tinordi
24
Points
Pontus Aberg
31
Plus/Moins
Julius Nattinen
11
Victoires
Dylan Wells
16
Pourcentage d’arrêts
Dylan Wells
0.89

Statistiques d’équipe
Buts pour
125
3.38 GFG
Tirs pour
1115
30.14 Avg
Pourcentage en avantage numérique
18.5%
20 GF
Début de zone offensive
40.6%
Buts contre
120
3.24 GAA
Tirs contre
1064
28.76 Avg
Pourcentage en désavantage numérique
77.4%%
30 GA
Début de la zone défensive
40.1%
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
Assistance2,881
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 56
Espoirs43


Historique d'équipe

Saison actuelle19-16-2 (40PTS)
Historique55-52-16 (0.447%)
Apparitions en séries éliminatoires 1
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 SprongXX98.6663459279717185746772756768704864506702722,000,000$
2Nathan WalkerXX99.0074558775687577727271717269584953596603021,700,000$
3Ryan LombergXX100.0074617575687892727069737170625256646602921,500,000$
4Valentin ZykovXX100.0061468971737479687071696967665655596502911,500,000$
5Mason ShawXXX99.007171827267748672777471736753476055650262900,000$
6Pavel KraskovskyX100.0077676972707576707173707068605357606502811,200,000$
7Anthony RichardXX100.0074457172677674707069726663595457626502721,300,000$
8Rasmus Kupari (R)XXX100.006745928471697369716361725560457065640243900,000$
9Nick SorensenXX100.0061478572725972676366666462725653216303031,000,000$
10Lias AnderssonXX100.006245867269727268696969636058456047630262750,000$
11Nils Aman (R)X100.006645917568707957716968776855457040630241900,000$
12Julius NattinenX99.007045827270727167756964715956495742630272900,000$
13Jarred TinordiX99.0081757273767978734572657863614846606703211,800,000$
14Andrei MironovX99.0068458171727478754571647754685852696703032,500,000$
15Sami VatanenX100.0061459871696868694567666964726546596503331,500,000$
16Brandon GormleyX99.0059459370727074694566657163634946396403231,200,000$
17Brendan GuhleX100.006544867270707364456565725455486059630271750,000$
Rayé
1Pontus AbergXX53.7056429373717588746274717167756051496703123,000,000$
2Stefan MatteauX100.0082596968756374637364657262695349356303021,000,000$
3Joakim NygardXX100.0061458972676779666868696570685445196303111,200,000$
4Jeremy BraccoXX100.006145917268647365676763656259516020620272800,000$
5Vladimir TkachyovXX100.006045827266656965586966616459515420610292700,000$
6Phil VaroneXX100.0063448870656968656464676668595043206103311,000,000$
7Anton LindholmX88.8263449371706879694567647263554556496302911,100,000$
8Chad KrysX100.006752877068686760456263705750486045610261750,000$
9James GreenwayX100.007248787274706656455858665749486020600261750,000$
MOYENNE D’ÉQUIPE97.42675085737071766861686770636151554664
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 Martin100.008488818078777976767585617154596502931,500,000$
2Dylan Wells100.00848479797980817981857949526054650262750,000$
Rayé
1Felix Sandstrom100.00858673797873787373728053655732630271750,000$
MOYENNE D’ÉQUIPE100.0084867879787779767777815463574864
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
1Pontus AbergMoose (Win)LW/RW3312193122063887234113.79%750615.3647111575000001160.71%2800001.2200000211
2Daniel SprongMoose (Win)LW/RW33151227360203294256315.96%255416.80551021780001193050.67%7500000.9701000302
3Nathan WalkerMoose (Win)LW/RW371314271060323499366813.13%470619.10235179300021002140.00%4000000.7601000412
4Jarred TinordiMoose (Win)D3722426647567354912294.08%4882322.2505527920000101000%000000.6300001002
5Pavel KraskovskyMoose (Win)C371114251235824989185412.36%458615.843141682000061049.18%73000000.8500001110
6Justin DanforthJetsLW/RW34121123920132988275613.64%652215.380118650002211140.00%5000000.8801000311
7Brendan GuhleMoose (Win)D372192171803816329196.25%4269018.67022423000094000%000000.6100000011
8Andrei MironovMoose (Win)D2921719430045334016265.00%3563922.061342069000078000%000000.5900000111
9Anthony RichardMoose (Win)LW/RW3781018227553178217509.76%554314.692241492000001051.16%4300000.6600100203
10Mason ShawMoose (Win)C/LW/RW3161117214041477316588.22%455417.8823514760002700052.57%68100000.6100000021
11Sami VatanenMoose (Win)D3731316418025212882010.71%2873319.831341179000032200%000000.4400000010
12Ryan LombergMoose (Win)LW/RW307613480304470205310.00%250216.76000120002752050.00%3600000.5200000021
13Anton LindholmMoose (Win)D371121351202623215124.76%5066518.0000000000192000%000000.3900000002
14Valentin ZykovMoose (Win)LW/RW375712480112345144211.11%239010.5500001000000045.45%5500000.6200000100
15Julius NattinenMoose (Win)C212101211802228246258.33%627513.13000116000001050.15%33300000.8700000020
16Brandon GormleyMoose (Win)D2254904021018111327.78%3443119.61000117000136110%000000.4200000011
17Nils AmanMoose (Win)C29369-54020504512296.67%1136612.64000110000750049.79%47000000.4900000001
18Rasmus KupariMoose (Win)C/LW/RW192682001021248308.33%122611.950112210000240053.73%13400000.7000000000
19Nick CousinsJetsC/LW/RW22448-31002334478358.51%335115.96022423000152053.50%28600010.4600000110
20Stefan MatteauMoose (Win)C126177801617183533.33%112310.32000000001332048.52%16900101.1300000011
21Chad KrysMoose (Win)D2325773203515108920.00%2436715.990000000005010%000000.3800000100
22Lias AnderssonMoose (Win)LW/RW23246120793011256.67%023810.3800002000010057.14%1400000.5000000000
23Dylan CoghlanJetsD101344407790211.11%318418.4100027011011000%000000.4300000100
24Nick SorensenMoose (Win)LW/RW2011200110010%02613.2600000000050050.00%400000.7500000000
25Joakim NygardMoose (Win)LW/RW7000-200312070%1497.0100004000000033.33%30000000000000
Statistiques d’équipe totales ou en moyenne6761262333598729315635634112431377211.21%3231106216.362038581799290111389519550.52%315100110.6503102201620
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)2916910.8903.1115834182748001002710200
2Spencer MartinMoose (Win)133710.8863.3864021363150000.50021027010
Statistiques d’équipe totales ou en moyenne42191620.8893.18222462118106300123737210


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 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 Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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)D301994-07-29No194 Lbs6 ft3NoNoN/ANoNo32024-04-29Pro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------NoNo-------Lien
Anthony RichardMoose (Win)LW/RW271996-12-20No176 Lbs5 ft10NoNoN/ANoNo22024-04-29Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Anton Lindholm (sur la masse salariale)Moose (Win)D291994-11-29No191 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,100,000$0$0$Yes------------------Lien
Brandon GormleyMoose (Win)D321992-02-18No196 Lbs6 ft2NoNoFree AgentNoNo32024-07-24Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Brendan GuhleMoose (Win)D271997-07-29No197 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Chad KrysMoose (Win)D261998-04-10No185 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Daniel SprongMoose (Win)LW/RW271997-03-17No180 Lbs6 ft0NoNoTrade2024-04-29NoNo22024-04-29Pro & Farm2,000,000$0$0$No2,000,000$--------No--------Lien
Dylan WellsMoose (Win)G261998-01-03No190 Lbs6 ft2NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Felix SandstromMoose (Win)G271997-01-12No191 Lbs6 ft2NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
James GreenwayMoose (Win)D261998-04-27No211 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Jarred TinordiMoose (Win)D321992-02-20No229 Lbs6 ft6NoNoFree AgentNoNo12024-07-02Pro & Farm1,800,000$0$0$No------------------Lien
Jeremy BraccoMoose (Win)LW/RW271997-03-17No185 Lbs5 ft11NoNoN/ANoNo22024-04-29Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Joakim NygardMoose (Win)LW/RW311993-01-08No179 Lbs6 ft1NoNoN/ANoNo1Pro & Farm1,200,000$0$0$No------------------Lien
Julius NattinenMoose (Win)C271997-01-14No192 Lbs6 ft2NoNoN/ANoNo22024-04-29Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Lias AnderssonMoose (Win)LW/RW261998-10-13No185 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------Lien
Mason ShawMoose (Win)C/LW/RW261998-11-03No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Nathan WalkerMoose (Win)LW/RW301994-02-07No187 Lbs5 ft9NoNoFree AgentNoNo22024-07-07Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Nick SorensenMoose (Win)LW/RW301994-10-23No182 Lbs6 ft1NoNoN/ANoNo32024-04-29Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------NoNo-------Lien
Nils AmanMoose (Win)C242000-02-07Yes179 Lbs6 ft2NoNoFree AgentNoNo12024-06-27Pro & Farm900,000$0$0$No------------------Lien
Pavel KraskovskyMoose (Win)C281996-09-11No185 Lbs6 ft4NoNoN/ANoNo12024-04-29Pro & Farm1,200,000$0$0$No------------------Lien
Phil VaroneMoose (Win)LW/RW331990-12-04No169 Lbs5 ft8NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Pontus Aberg (sur la masse salariale)Moose (Win)LW/RW311993-09-23No196 Lbs5 ft11NoNoTrade2024-03-25NoNo22023-12-30Pro & Farm3,000,000$0$0$Yes3,000,000$--------No--------Lien
Rasmus KupariMoose (Win)C/LW/RW242000-03-15Yes201 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ryan LombergMoose (Win)LW/RW291994-12-09No187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Sami VatanenMoose (Win)D331991-06-03No185 Lbs5 ft10NoNoFree AgentNoNo32024-07-22Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Spencer MartinMoose (Win)G291995-06-08No205 Lbs6 ft3NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Stefan MatteauMoose (Win)C301994-02-23No220 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Valentin ZykovMoose (Win)LW/RW291995-05-15No220 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Vladimir TkachyovMoose (Win)LW/RW291995-10-05No141 Lbs5 ft9NoNoN/ANoNo22024-04-29Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2928.45190 Lbs6 ft11.831,227,586$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mason ShawPavel KraskovskyDaniel Sprong30023
2Nathan WalkerJulius NattinenRyan Lomberg30023
3Anthony RichardRasmus KupariLias Andersson20122
4Nick SorensenNils AmanValentin Zykov20131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiAndrei Mironov35041
2Sami Vatanen35041
3Brendan GuhleBrandon Gormley30041
4Jarred TinordiBrendan Guhle0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Daniel SprongPavel KraskovskyNathan Walker50005
2Anthony RichardJulius NattinenMason Shaw50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrei MironovBrandon Gormley50014
2Brendan GuhleJarred Tinordi50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanNick Sorensen50050
2Mason ShawNathan Walker50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jarred TinordiAndrei Mironov50050
2Brendan Guhle50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Jarred TinordiAndrei Mironov50050
2Rasmus Kupari50050Brendan Guhle50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mason ShawDaniel Sprong50014
2Rasmus KupariAnthony Richard50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Andrei MironovJarred Tinordi50041
2Brendan GuhleSami Vatanen50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nathan WalkerPavel KraskovskyDaniel SprongAndrei MironovJarred Tinordi
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ryan LombergNils AmanMason ShawAndrei MironovJarred Tinordi
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Daniel Sprong, Mason Shaw, Nathan WalkerDaniel Sprong, Mason ShawNils Aman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jarred Tinordi, Andrei Mironov, Sami VatanenBrandon GormleyJarred Tinordi, Brandon Gormley
Tirs de pénalité
Daniel Sprong, 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
1Americans11000000413110000004130000000000021.0004711004233500343623683853105217400.00%110.00%0630127849.30%669126253.01%29360448.51%862584875282489240
2Bears31200000811-3211000007521010000016-520.33381523004233500893623683853863620439222.22%10280.00%0630127849.30%669126253.01%29360448.51%862584875282489240
3BruinsF1010000035-2000000000001010000035-200.0003690042335002236236838532781217000%5260.00%0630127849.30%669126253.01%29360448.51%862584875282489240
4Comets3300000014861100000043122000000105561.00014264000423350011036236838536824215414321.43%8362.50%0630127849.30%669126253.01%29360448.51%862584875282489240
5Crunch21100000880211000008800000000000020.50081523004233500663623683853561116306233.33%8275.00%0630127849.30%669126253.01%29360448.51%862584875282489240
6Eagles1010000024-21010000024-20000000000000.000246104233500273623683853286817200.00%3166.67%0630127849.30%669126253.01%29360448.51%862584875282489240
7Firebirds30200001814-61010000004-420100001810-210.167814220042335008736236838531043120526116.67%9366.67%0630127849.30%669126253.01%29360448.51%862584875282489240
8Griffins11000000431110000004310000000000021.000481200423350027362368385333126124250.00%30100.00%0630127849.30%669126253.01%29360448.51%862584875282489240
9Icehogs11000000642000000000001100000064221.000611170042335004236236838533411811200.00%4250.00%0630127849.30%669126253.01%29360448.51%862584875282489240
10Islanders22000000936110000006331100000030341.0009162501423350056362368385359142035300.00%10190.00%0630127849.30%669126253.01%29360448.51%862584875282489240
11Marlies4210010013112210001007522110000066050.62513253800423350013136236838531113222731700.00%10190.00%0630127849.30%669126253.01%29360448.51%862584875282489240
12PenguinsF312000001014-41100000053220200000511-620.333101727004233500813623683853743018608225.00%7357.14%0630127849.30%669126253.01%29360448.51%862584875282489240
13Phantoms11000000624000000000001100000062421.000611170042335002736236838533881210100.00%6183.33%0630127849.30%669126253.01%29360448.51%862584875282489240
14Rocket22000000835220000008350000000000041.00081624014233500603623683853621619457228.57%70100.00%0630127849.30%669126253.01%29360448.51%862584875282489240
15SenatorsF1010000014-3000000000001010000014-300.000123004233500263623683853274816300.00%4250.00%0630127849.30%669126253.01%29360448.51%862584875282489240
16Silver Knights1010000002-21010000002-20000000000000.0000000042335002536236838532991216100.00%5180.00%0630127849.30%669126253.01%29360448.51%862584875282489240
17StarsF1010000024-2000000000001010000024-200.0002350042335002536236838532351020300.00%5180.00%0630127849.30%669126253.01%29360448.51%862584875282489240
18Thunderbirds11000000321000000000001100000032121.00036900423350026362368385338910173133.33%5180.00%0630127849.30%669126253.01%29360448.51%862584875282489240
19Wolf Pack42200000111101010000002-232100000119240.500111930004233500120362368385312343386913430.77%19384.21%0630127849.30%669126253.01%29360448.51%862584875282489240
20Wolves1010000056-1000000000001010000056-100.000591400423350034362368385334613142150.00%40100.00%0630127849.30%669126253.01%29360448.51%862584875282489240
Total37191600101125120517106001005546920910000017074-4400.5411252303551242335001115362368385310643202956281082018.52%1333077.44%0630127849.30%669126253.01%29360448.51%862584875282489240
_Since Last GM Reset37191600101125120517106001005546920910000017074-4400.5411252303551242335001115362368385310643202956281082018.52%1333077.44%0630127849.30%669126253.01%29360448.51%862584875282489240
_Vs Conference3116130010110810171494001004937121779000015964-5340.5481081983060242335009433623683853879268241535931718.28%1082477.78%0630127849.30%669126253.01%29360448.51%862584875282489240

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3740W11252303551115106432029562812
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3719160101125120
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1710601005546
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2091000017074
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1082018.52%1333077.44%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
36236838534233500
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
630127849.30%669126253.01%29360448.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
862584875282489240


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 Pack5ALSommaire du match
3 - 2024-09-0521Islanders3Moose6BWSommaire du match
5 - 2024-09-0733Moose3Firebirds4ALXXSommaire du match
7 - 2024-09-0950Moose1Marlies2ALSommaire du match
8 - 2024-09-1053Moose3BruinsF5ALSommaire du match
10 - 2024-09-1265Wolf Pack2Moose0BLSommaire du match
13 - 2024-09-1592Firebirds4Moose0BLSommaire du match
15 - 2024-09-17106Moose5Comets3AWSommaire du match
17 - 2024-09-19122Moose4Wolf Pack2AWSommaire du match
18 - 2024-09-20130Bears2Moose5BWSommaire du match
21 - 2024-09-23150Moose5Marlies4AWSommaire du match
22 - 2024-09-24160Crunch2Moose5BWSommaire du match
26 - 2024-09-28188Rocket0Moose4BWSommaire du match
28 - 2024-09-30206Moose5Wolves6ALSommaire du match
30 - 2024-10-02219Moose3Islanders0AWSommaire du match
31 - 2024-10-03225Marlies1Moose4BWSommaire du match
34 - 2024-10-06241Moose6Phantoms2AWSommaire du match
36 - 2024-10-08255Americans1Moose4BWSommaire du match
39 - 2024-10-11280Moose3Thunderbirds2AWSommaire du match
40 - 2024-10-12286Comets3Moose4BWSommaire du match
43 - 2024-10-15306Moose6Icehogs4AWSommaire du match
45 - 2024-10-17317Moose4PenguinsF7ALSommaire du match
46 - 2024-10-18325Rocket3Moose4BWSommaire du match
49 - 2024-10-21349Silver Knights2Moose0BLSommaire du match
53 - 2024-10-25379Moose1PenguinsF4ALSommaire du match
54 - 2024-10-26385Eagles4Moose2BLSommaire du match
57 - 2024-10-29408Crunch6Moose3BLSommaire du match
59 - 2024-10-31420Moose1SenatorsF4ALSommaire du match
62 - 2024-11-03440PenguinsF3Moose5BWSommaire du match
64 - 2024-11-05451Moose1Bears6ALSommaire du match
66 - 2024-11-07464Moose2StarsF4ALSommaire du match
67 - 2024-11-08478Griffins3Moose4BWSommaire du match
70 - 2024-11-11497Moose5Wolf Pack2AWSommaire du match
72 - 2024-11-13510Marlies4Moose3BLXSommaire du match
74 - 2024-11-15526Moose5Firebirds6ALSommaire du match
76 - 2024-11-17540Bears3Moose2BLSommaire du match
79 - 2024-11-20564Moose5Comets2AWSommaire du match
80 - 2024-11-21573Wranglers-Moose-
83 - 2024-11-24596Moose-BruinsF-
85 - 2024-11-26604Checkers-Moose-
86 - 2024-11-27618Moose-BruinsF-
88 - 2024-11-29637Islanders-Moose-
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
Assistance32,67316,308
Assistance PCT96.10%95.93%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
24 2881 - 96.04% 107,351$1,824,967$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,606,817$ 3,960,000$ 3,960,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,564,102$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,576,424$ 106 21,946$ 2,326,276$




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 Mironov111246892228616210917913.41%134247722.321311241000000310%00.7400
2Mason Shaw1102556817781422112838.83%22213019.37519245503362151.91%00.7615
3Yegor Chinakhov8021527351847982608.08%16146918.37516215600003446.67%00.99312
4Ryan Lomberg111413071174115012727614.86%17185716.73571222202102352.80%30.76314
5Pavel Kraskovsky10232366817619714923213.79%14165416.2288164510113150.52%00.8212

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 Martin75302960.8833.3738814321818680300.74443
2Dylan Wells56241850.8992.8829214314013900010.64717
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
1637191600101125120517106001005546920910000017074-4401252303551242335001115362368385310643202956281082018.52%1333077.44%0630127849.30%669126253.01%29360448.51%862584875282489240
Total Saison régulière1194452062510386401-1558252303214182178461192903046204223-191223866901076161341141272136581213119012061173464100797419703727820.97%4039277.17%62100410851.12%2085406351.32%1043200552.02%2859195527898981582789
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