Mooses
GP: 82 | W: 36 | L: 31 | T: 13 | P: 87
GF: 250 | GA: 232 | PP%: 19.79% | PK%: 82.13%
DG: Benoit Pilon | Morale : 54 | Moyenne d’équipe : 66
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Centre de jeu
Wolves
52-13-2, 121pts
3
FINAL
3 Mooses
36-31-2, 87pts
Team Stats
L1StreakL1
29-7-1Home Record17-15-2
23-6-1Away Record19-16-0
3-2-0Last 10 Games2-7-0
3.56Goals Per Game3.05
2.44Goals Against Per Game2.83
15.76%Power Play Percentage19.79%
84.69%Penalty Kill Percentage82.13%
Banshees
52-19-2, 115pts
4
FINAL
3 Mooses
36-31-2, 87pts
Team Stats
W4StreakL1
28-11-0Home Record17-15-2
24-8-2Away Record19-16-0
6-2-2Last 10 Games2-7-0
3.32Goals Per Game3.05
2.68Goals Against Per Game2.83
18.72%Power Play Percentage19.79%
81.61%Penalty Kill Percentage82.13%
Meneurs d'équipe
Buts
Johan Garpenlov
33
Passes
Johan Garpenlov
35
Points
Johan Garpenlov
68
Plus/Moins
Johan Garpenlov
-9
Victoires
Rick Tabaracci
29
Pourcentage d’arrêts
Tom Draper
0.904

Statistiques d’équipe
Buts pour
250
3.05 GFG
Tirs pour
2319
28.28 Avg
Pourcentage en avantage numérique
19.8%
74 GF
Début de zone offensive
41.2%
Buts contre
232
2.83 GAA
Tirs contre
2121
25.87 Avg
Pourcentage en désavantage numérique
82.1%
67 GA
Début de la zone défensive
39.2%
Information d’équipe

Directeur généralBenoit Pilon
EntraîneurLindy Ruff
DivisionDivision 5
ConférenceCampbell
CapitaineLen Barrie
Assistant #1Craig Ludwig
Assistant #2Ted Donato


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,200


Information formation

Équipe Pro29
Équipe Mineure19
Limite contact 48 / 65
Espoirs3


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
1Rob DiMaioX100.006951736772707277657573796449546558680262609,000$
2Bill LindsayX100.008477537074817876637166765837387675670241260,000$
3Sheldon KennedyX100.007050787468716971677674686846327175660253600,000$
4Jim CumminsX100.009285436279757671637766735631377275660251250,000$
5John McIntyreX100.007365537472677066636963846251527340660251600,000$
6Len Barrie (C)X100.005656606776657070647674676846596975660254675,000$
7David MaleyX100.007369426874707069647367746454542774660313700,000$
8Blair AytchenumX100.006343896677667075627370806236327175660252675,000$
9Jamie BakerX100.006752716772717269657361765852574765650283700,000$
10Reid SimpsonX100.007770526577677170647063825542427134650254550,000$
11Gilbert DionneX100.005544806974636873617374606635397975640242440,000$
12Jason Wiemer (R)X100.007167596974727364757068706535359051640183450,000$
13Bill HoulderX100.007355726277777869586863785554625671680272450,000$
14Bob BeersX100.007351786675697068647960815252525566670273560,000$
15Craig Ludwig (A)X100.00614679617773745954574085408584774670333618,000$
16Kerry HuffmanX100.005645766575757470637655774857626475660262650,000$
17Mike PelusoX100.009087306376707264586465746253534324660293682,000$
18Rich PilonX100.009284486077677053546451864936436452650264600,000$
Rayé
1Ted Donato (A)X100.005944857070767673667572786637397373670251500,000$
2Craig BerubeX100.008278356376727461606651754964704120630292500,000$
3Mark GreigX100.007159596973686867606662745933356920630253500,000$
4Dwayne NorrisX100.005547747269657069637169666533357720630242402,000$
5James BlackX100.005647666872707070606263746029377120620253450,000$
6Jason Bonsignore (R)X100.007060696066707062696458716235358019600183450,000$
7Keith Carney (R)X64.367457666577737564566756785045507666660242625,000$
8Rob ZettlerX100.006953666574696964596647784547446119640262525,000$
MOYENNE D’ÉQUIPE98.63705964667470726862706376584547635465
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 SP
1Rick Tabaracci (R)100.00677876747281868484747331307230700
2Tom Draper100.00708076737365747973747348535170690
Rayé
1Mike Bales100.00718080747556607764716644437720650
MOYENNE D’ÉQUIPE100.0069797774736773807473714142674068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lindy Ruff70748079458095CAN34395,000$


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
1Rob DiMaioMooses (WIN)C73254974102201081872025215212.38%10150820.66618244627000021595249.23%194600010.9800000775
2Ted DonatoMooses (WIN)LW772346691460221292286217810.09%9156820.38615215027701191893147.54%24400000.8800000226
3Johan GarpenlovJetsLW58333568-94010151912356615214.04%7114219.70131629712520110266149.30%7100111.1900101845
4Sheldon KennedyMooses (WIN)RW8233286110460961072466717213.41%4155218.9391120483050003836254.31%11600010.7900000732
5Bob BeersMooses (WIN)D749475612460101949240599.78%74157921.3561319622640110159000.00%000000.7100000314
6Len BarrieMooses (WIN)C82183250-3140511451723911910.47%9136416.6471421402951011533150.92%163000010.7300000250
7Blair AytchenumMooses (WIN)RW8232144636041932126314815.09%13128315.6696153115410142277541.94%12400010.7200000517
8Bill HoulderMooses (WIN)D801232442567513865116356010.34%100181022.6361016642970001232110.00%000000.4900001345
9Kerry HuffmanMooses (WIN)D82737442160188369296310.14%69163119.8941317452560000106110.00%000000.5400000100
10Bill LindsayMooses (WIN)RW8217183547001861091564613110.90%11125015.253472314810121191153.52%14200000.5600000113
11John McIntyreMooses (WIN)LW6092433-1340848810935908.26%785714.301349740110652135.94%6400000.7700000421
12Keith CarneyMooses (WIN)D705283317410170655722518.77%76156522.3741317342360111217000.00%000000.4200011032
13David MaleyMooses (WIN)LW80131831-43758557126388310.32%994011.765611271360000322050.57%8700000.6600100021
14Jason WiemerMooses (WIN)C69922311260771209824419.18%385012.3310127000001155.10%97100000.7300000104
15Gilbert DionneMooses (WIN)LW79111324340265098307711.22%287011.020551066000062041.00%10000000.5500000112
16Craig LudwigMooses (WIN)D8051823-18140226344123511.36%98161520.20235171420002283000.00%000000.2800000110
17Jim CumminsMooses (WIN)RW8291221-794201525910339978.74%285410.43336151030003431248.23%14100000.4900013112
18Rich PilonMooses (WIN)D6731013-1129523351377258.11%72114717.130003390110152010.00%000000.2300010110
19Jamie BakerMooses (WIN)C826511-680201439923616.06%1392611.3011253101162051049.21%114600000.2400000002
20Mike PelusoMooses (WIN)D38156176011610172185.88%2161516.2110129000267000.00%000000.1900000010
21Reid SimpsonMooses (WIN)LW50336020038263813427.89%53837.68000000000300039.29%2800000.3100000010
22Rob ZettlerMooses (WIN)D1000020000000.00%31919.250000000004000.00%000000.0000000000
23James BlackMooses (WIN)C3000200030000.00%03110.4600000000070036.17%4700000.0000000000
24Jason BonsignoreMooses (WIN)C1000000010000.00%01515.2800000000030035.71%1400000.0000000000
Statistiques d’équipe totales ou en moyenne15342834967793985155193518392554744185411.08%6172538816.558715424160433713710362477422050.04%687100150.6100236484151
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
1Rick TabaracciMooses (WIN)662921120.8872.7937382417415340120.00006517141
2Tom DraperMooses (WIN)2671210.9042.71124122565850000.00001765130
Statistiques d’équipe totales ou en moyenne923633130.8912.7749794623021190120.00008282271


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Plafond salarial 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 10Link
Bill HoulderMooses (WIN)D271994-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo2Pro & Farm450,000$45,000$366$No450,000$
Bill LindsayMooses (WIN)RW241997-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo1Pro & Farm260,000$26,000$211$No
Blair AytchenumMooses (WIN)RW251996-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo2Pro & Farm675,000$67,500$549$No675,000$
Bob BeersMooses (WIN)D271994-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo3Pro & Farm560,000$56,000$455$No560,000$560,000$
Craig BerubeMooses (WIN)LW291992-02-09 9:08:37 PMNo207 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$407$No500,000$
Craig LudwigMooses (WIN)D331988-02-09 9:08:37 PMNo210 Lbs6 ft3NoNoNo3Pro & Farm618,000$61,800$502$No618,000$618,000$
David MaleyMooses (WIN)LW311990-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo3Pro & Farm700,000$70,000$569$No700,000$700,000$
Dwayne NorrisMooses (WIN)RW241997-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm402,000$40,200$327$No402,000$
Gilbert DionneMooses (WIN)LW241997-02-09 9:08:37 PMNo194 Lbs6 ft0NoNoNo2Pro & Farm440,000$44,000$358$No440,000$
James BlackMooses (WIN)C251996-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Jamie BakerMooses (WIN)C281993-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo3Pro & Farm700,000$70,000$569$No700,000$700,000$
Jason BonsignoreMooses (WIN)C182003-04-19 4:37:14 AMYes220 Lbs6 ft4NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Jason WiemerMooses (WIN)C182003-04-20 8:21:35 AMYes215 Lbs6 ft1NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Jim CumminsMooses (WIN)RW251996-02-09 9:08:37 PMNo219 Lbs6 ft2NoNoNo1Pro & Farm250,000$25,000$203$No
John McIntyreMooses (WIN)LW251996-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo1Pro & Farm600,000$60,000$488$No
Keith Carney (sur la masse salariale)Mooses (WIN)D241997-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo2Pro & Farm625,000$62,500$508$No625,000$
Kerry HuffmanMooses (WIN)D261995-02-09 9:08:37 PMNo202 Lbs6 ft2NoNoNo2Pro & Farm650,000$65,000$528$No650,000$
Len BarrieMooses (WIN)C251996-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo4Pro & Farm675,000$67,500$549$No675,000$675,000$675,000$
Mark GreigMooses (WIN)RW251996-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo3Pro & Farm500,000$50,000$407$No500,000$500,000$
Mike BalesMooses (WIN)G241997-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo2Pro & Farm416,000$41,600$338$No416,000$
Mike PelusoMooses (WIN)D291992-02-09 9:08:37 PMNo200 Lbs6 ft4NoNoNo3Pro & Farm682,000$68,200$554$No682,000$682,000$
Reid SimpsonMooses (WIN)LW251996-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo4Pro & Farm550,000$55,000$447$No550,000$550,000$550,000$
Rich PilonMooses (WIN)D261995-02-09 9:08:37 PMNo216 Lbs6 ft0NoNoNo4Pro & Farm600,000$60,000$488$No600,000$600,000$600,000$
Rick Tabaracci (contrat à 1 volet)Mooses (WIN)G251996-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo4Pro & Farm725,000$725,000$5,894$No725,000$725,000$725,000$
Rob DiMaioMooses (WIN)C261995-02-09 9:08:37 PMNo190 Lbs5 ft10NoNoNo2Pro & Farm609,000$60,900$495$No609,000$
Rob ZettlerMooses (WIN)D261995-02-09 9:08:37 PMNo195 Lbs6 ft3NoNoNo2Pro & Farm525,000$52,500$427$No525,000$
Sheldon KennedyMooses (WIN)RW251996-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo3Pro & Farm600,000$60,000$488$No600,000$600,000$
Ted DonatoMooses (WIN)LW251996-02-09 9:08:37 PMNo185 Lbs5 ft10NoNoNo1Pro & Farm500,000$50,000$407$No
Tom DraperMooses (WIN)G281993-02-09 9:08:37 PMNo180 Lbs5 ft11NoNoNo3Pro & Farm700,000$70,000$569$No700,000$700,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.59197 Lbs6 ft12.52546,966$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gilbert DionneRob DiMaioBlair Aytchenum35014
2David MaleyLen BarrieSheldon Kennedy30023
3Reid SimpsonJason WiemerBill Lindsay20131
4John McIntyreJamie BakerJim Cummins15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bill HoulderRich Pilon35014
2Craig LudwigMike Peluso35023
3Kerry HuffmanBob Beers30131
4Bill HoulderCraig Ludwig0131
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gilbert DionneRob DiMaioBill Lindsay55005
2Jim CumminsLen BarrieSheldon Kennedy45005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bill HoulderKerry Huffman60014
2Craig LudwigBob Beers40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1John McIntyreReid Simpson50041
2Jamie BakerBlair Aytchenum50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bill HoulderKerry Huffman50041
2Craig LudwigMike Peluso50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Blair Aytchenum50050Bill HoulderKerry Huffman50050
2Reid Simpson50050Craig LudwigBob Beers50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Bill LindsayBlair Aytchenum50023
2Len BarrieSheldon Kennedy50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Bill HoulderKerry Huffman60041
2Craig LudwigRich Pilon40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gilbert DionneRob DiMaioBill LindsayBill HoulderCraig Ludwig
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John McIntyreRob DiMaioBill LindsayBill HoulderCraig Ludwig
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gilbert Dionne, Jim Cummins, David MaleyGilbert Dionne, Jim CumminsDavid Maley
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kerry Huffman, Bill Houlder, Craig LudwigKerry HuffmanBill Houlder, Craig Ludwig
Tirs de pénalité
David Maley, Bill Lindsay, Gilbert Dionne, Sheldon Kennedy, Len Barrie
Gardien
#1 : Rick Tabaracci, #2 : Tom Draper


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
1Ailes Rouges6311100022184310110001073321000001211190.75022426400838973518279575672147139486011931619.35%30680.00%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
2As64200000181353210000010553210000088080.6671834520183897351617957567214715247501373425.88%25484.00%11401279950.05%1355266350.88%647133848.36%2016136719056401077543
3Banshees4120100015141201010006602110000098140.500152843008389735129795756721479922486817211.76%18572.22%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
4Canadiens522001001495311001007522110000074350.50014243801838973513379575672147126534611920420.00%23291.30%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
5Chiefs41300000711-4211000004312020000038-520.25071320018389735116795756721471072048842414.17%19194.74%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
6Citadelles403100001116-520200000711-42011000045-110.12511203100838973511579575672147992647801516.67%18477.78%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
7Croque-Morts622200002118331110000119231110000109160.50021416201838973517979575672147156476315034926.47%29582.76%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
8Harvard41300000716-92110000057-22020000029-720.25071320008389735103795756721471192634841915.26%17664.71%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
9Isotopes4210100013112210010006422110000077060.750132538008389735108795756721479721349020420.00%15286.67%11401279950.05%1355266350.88%647133848.36%2016136719056401077543
10Pacifiques de la route84310000222114121000079-2431000001512390.563223860118389735226795756721471935882158451022.22%34779.41%11401279950.05%1355266350.88%647133848.36%2016136719056401077543
11Riverman833200002522342200000161334112000099080.500254469008389735229795756721472466285161301033.33%40782.50%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
12Snipers83211100262064110110011110421100001596100.62526477300838973524779575672147208645818928517.86%28389.29%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
13Spoonman's420200001055200200002202200000083560.7501019290183897351317957567214710235429618422.22%21195.24%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
14Weetouches4220000016142211000007612110000098140.50016304600838973596795756721479830508613430.77%25676.00%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
15Wolves712310002324-130120000911-2411110001413170.500234366108389735164795756721471805168163261142.31%33875.76%01401279950.05%1355266350.88%647133848.36%2016136719056401077543
Total82313113520025023218411315742001181099411816610001321239870.530250461711268389735231979575672147212161081517843747419.79%3756782.13%31401279950.05%1355266350.88%647133848.36%2016136719056401077543
_Since Last GM Reset8244310520025023218411315742001181099413116-7100013212391000.610250461711268389735231979575672147212161081517843747419.79%3756782.13%31401279950.05%1355266350.88%647133848.36%2016136719056401077543
_Vs Conference49301503100157136212488521007465925227-51000837112670.684157289446238389735138879575672147127437746610772285323.25%2194081.74%21401279950.05%1355266350.88%647133848.36%2016136719056401077543
_Vs Division24148011007363101245111003433112103-1000039309310.64673129202118389735702795756721476471842255081032524.27%1021783.33%11401279950.05%1355266350.88%647133848.36%2016136719056401077543

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8287L125046171123192121610815178426
Tous les matchs
GPWLOTWOTL TGFGA
8231315213250232
Matchs locaux
GPWLOTWOTL TGFGA
411315427118109
Matchs extérieurs
GPWLOTWOTL TGFGA
411816106132123
Derniers 10 matchs
WLOTWOTL T
17101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3747419.79%3756782.13%3
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
795756721478389735
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
1401279950.05%1355266350.88%647133848.36%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2016136719056401077543


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 - 2021-05-045Riverman2Mooses5WSommaire du match
2 - 2021-05-0512Mooses4Riverman4TXSommaire du match
4 - 2021-05-0721Mooses5Pacifiques de la route3WSommaire du match
5 - 2021-05-0830Pacifiques de la route2Mooses2TXSommaire du match
6 - 2021-05-0937Mooses5Wolves4WXSommaire du match
7 - 2021-05-1046Riverman1Mooses5WSommaire du match
8 - 2021-05-1147Mooses6Snipers1WSommaire du match
9 - 2021-05-1260Snipers4Mooses3LSommaire du match
11 - 2021-05-1468Pacifiques de la route3Mooses2LSommaire du match
13 - 2021-05-1672Mooses3Ailes Rouges2WSommaire du match
15 - 2021-05-1885Mooses4As2WSommaire du match
17 - 2021-05-2092Croque-Morts3Mooses3TXSommaire du match
19 - 2021-05-2295Mooses3Riverman2WSommaire du match
21 - 2021-05-24104Ailes Rouges2Mooses2TXSommaire du match
23 - 2021-05-26116Mooses2Snipers2TXSommaire du match
25 - 2021-05-28122Canadiens2Mooses1LXSommaire du match
28 - 2021-05-31133Mooses2Wolves3LSommaire du match
29 - 2021-06-01141Chiefs0Mooses4WSommaire du match
30 - 2021-06-02149Mooses7Banshees5WSommaire du match
31 - 2021-06-03153Mooses2Croque-Morts4LSommaire du match
33 - 2021-06-05159Harvard6Mooses2LSommaire du match
34 - 2021-06-06169Riverman6Mooses3LSommaire du match
35 - 2021-06-07176Mooses1Riverman2LSommaire du match
37 - 2021-06-09185Spoonman's0Mooses0TXSommaire du match
39 - 2021-06-11192Mooses4As2WSommaire du match
41 - 2021-06-13202Spoonman's2Mooses2TXSommaire du match
43 - 2021-06-15207Mooses3Spoonman's1WSommaire du match
45 - 2021-06-17220Mooses2Canadiens3LSommaire du match
47 - 2021-06-19224Canadiens0Mooses4WSommaire du match
49 - 2021-06-21235Pacifiques de la route0Mooses1WSommaire du match
51 - 2021-06-23244Isotopes1Mooses2WXSommaire du match
53 - 2021-06-25250Mooses4Ailes Rouges5LSommaire du match
54 - 2021-06-26259As0Mooses4WSommaire du match
56 - 2021-06-28265Mooses2Pacifiques de la route4LSommaire du match
57 - 2021-06-29276Snipers3Mooses2LXSommaire du match
58 - 2021-06-30282Mooses4Pacifiques de la route2WSommaire du match
59 - 2021-07-01290Mooses5Croque-Morts2WSommaire du match
60 - 2021-07-02295Mooses3Wolves3TXSommaire du match
61 - 2021-07-03304Weetouches3Mooses2LSommaire du match
63 - 2021-07-05315Riverman4Mooses3LSommaire du match
65 - 2021-07-07324Mooses4Isotopes1WSommaire du match
66 - 2021-07-08328Mooses3Citadelles3TXSommaire du match
67 - 2021-07-09335Wolves3Mooses3TXSommaire du match
69 - 2021-07-11342Mooses0Harvard6LSommaire du match
70 - 2021-07-12351Harvard1Mooses3WSommaire du match
72 - 2021-07-14360Mooses5Ailes Rouges4WSommaire du match
74 - 2021-07-16368Weetouches3Mooses5WSommaire du match
76 - 2021-07-18378Isotopes3Mooses4WSommaire du match
77 - 2021-07-19385Mooses1Citadelles2LSommaire du match
78 - 2021-07-20393Pacifiques de la route4Mooses2LSommaire du match
79 - 2021-07-21400Mooses3Isotopes6LSommaire du match
81 - 2021-07-23408Ailes Rouges2Mooses4WSommaire du match
82 - 2021-07-24417Mooses3Croque-Morts3TXSommaire du match
83 - 2021-07-25419Mooses3Weetouches4LSommaire du match
85 - 2021-07-27431Snipers2Mooses3WXSommaire du match
87 - 2021-07-29440Mooses1Riverman1TXSommaire du match
88 - 2021-07-30444Chiefs3Mooses0LSommaire du match
89 - 2021-07-31457Mooses4Pacifiques de la route3WSommaire du match
91 - 2021-08-02463Ailes Rouges3Mooses4WXSommaire du match
92 - 2021-08-03473Wolves5Mooses3LSommaire du match
93 - 2021-08-04479Mooses4Wolves3WSommaire du match
94 - 2021-08-05488Croque-Morts6Mooses4LSommaire du match
96 - 2021-08-07496Mooses5Canadiens1WSommaire du match
97 - 2021-08-08503Mooses5Snipers3WSommaire du match
98 - 2021-08-09511Croque-Morts0Mooses4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
100 - 2021-08-11522As4Mooses3LSommaire du match
101 - 2021-08-12530Mooses6Weetouches4WSommaire du match
102 - 2021-08-13535Mooses2Snipers3LSommaire du match
103 - 2021-08-14541Snipers2Mooses3WSommaire du match
104 - 2021-08-15549Mooses5Spoonman's2WSommaire du match
105 - 2021-08-16559Citadelles7Mooses4LSommaire du match
106 - 2021-08-17568Canadiens3Mooses2LSommaire du match
108 - 2021-08-19575Mooses0As4LSommaire du match
109 - 2021-08-20585Mooses2Harvard3LSommaire du match
110 - 2021-08-21586Mooses2Chiefs4LSommaire du match
111 - 2021-08-22592As1Mooses3WSommaire du match
113 - 2021-08-24605Citadelles4Mooses3LSommaire du match
114 - 2021-08-25611Mooses1Chiefs4LSommaire du match
115 - 2021-08-26616Mooses2Banshees3LSommaire du match
116 - 2021-08-27624Banshees2Mooses3WXSommaire du match
119 - 2021-08-30639Wolves3Mooses3TXSommaire du match
121 - 2021-09-01653Banshees4Mooses3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets255
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,566,620$ 1,451,200$ 1,451,200$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,451,200$ 1,566,620$ 28 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,571$ 12,571$




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