Weetouches
GP: 82 | W: 36 | L: 28 | T: 14 | P: 90
GF: 266 | GA: 257 | PP%: 18.18% | PK%: 81.59%
DG: Pierre-Luc Lavoie | Morale : 53 | Moyenne d’équipe : 65
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Citadelles
40-28-4, 94pts
2
FINAL
1 Weetouches
36-28-4, 90pts
Team Stats
W4StreakW1
18-16-0Home Record17-15-2
22-12-4Away Record19-13-2
8-1-0Last 10 Games4-4-0
3.45Goals Per Game3.24
3.01Goals Against Per Game3.13
19.01%Power Play Percentage18.18%
78.33%Penalty Kill Percentage81.59%
Weetouches
36-28-4, 90pts
6
FINAL
4 Canadiens
33-38-6, 77pts
Team Stats
W1StreakL2
17-15-2Home Record16-18-2
19-13-2Away Record17-20-4
4-4-0Last 10 Games3-6-1
3.24Goals Per Game2.96
3.13Goals Against Per Game3.22
18.18%Power Play Percentage17.18%
81.59%Penalty Kill Percentage79.16%
Meneurs d'équipe
Buts
Jason Woolley
12
Passes
Jason Woolley
22
Points
Jason Woolley
34
Plus/Moins
Murray Baron
2
Victoires
Dominic Roussel
23
Pourcentage d’arrêts
Jeff Reese
0.889

Statistiques d’équipe
Buts pour
266
3.24 GFG
Tirs pour
2381
29.04 Avg
Pourcentage en avantage numérique
18.2%
72 GF
Début de zone offensive
41.4%
Buts contre
257
3.13 GAA
Tirs contre
2235
27.26 Avg
Pourcentage en désavantage numérique
81.6%
65 GA
Début de la zone défensive
39.2%
Information d’équipe

Directeur généralPierre-Luc Lavoie
EntraîneurJacques Martin
DivisionDivision 2
ConférencePrince de Galles
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison1,200


Information formation

Équipe Pro25
Équipe Mineure22
Limite contact 47 / 65
Espoirs7


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
1Shjon PodeinX98.006452746775717375677570766440446173670263646,000$
2Keith JonesX100.006550816576707567646772797046426373660263602,000$
3Josef BeranekX100.005237857074687277707775597142447073660251470,000$
4Jody HullX100.006147836974687170677071746851456973660252535,000$
5Louie DebruskX100.009084466279677068597161785440537871650241250,000$
6Mike EaglesX100.007258656672677264626458805856602679640312750,000$
7Scott Pellerin (R)X100.006250756971667069657161755848517754640241350,000$
8Valery Bure (R)X100.004436827471686673647371586631349373630202450,000$
9Gino OdjickX100.009387376579657061586156705542427647610244400,000$
10Chris MarinucciX100.006450677370666664606863566031317921600241275,000$
11Mike CraigX100.006760526773595962576459675637378421590232500,000$
12Bob HalkidisX100.008779516474757551485548784664624959660281100,000$
13Jon KlemmX100.007355696676737273627360775044447874660242275,000$
14Shawn CroninX100.008672526377677045445543804073832550660311250,000$
15Brad Werenka (R)X100.007354726876737270627362745441397073650251400,000$
16Bret Hedican (R)X100.005946766777707365627565756034387873640242400,000$
17Dominic LavoieX100.006755635977676761545752775053595523630272450,000$
Rayé
1Paul RanheimX100.005944846377818073667577727349535069680281515,000$
2David ArchibaldX95.006145886775807872637369786454546968680253700,000$
3Darin KimbleX82.127858666576707063566260745748516262630261450,000$
4Shawn RiversX100.005350686070555651495143684130388420530231275,000$
5Dallas EakinsX100.007359606175696959545950764842385920620272275,000$
MOYENNE D’ÉQUIPE98.87685668667569706560676173574547665764
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
1Dominic Roussel100.00737271747378848482737249527752720
2Jeff Reese100.00737870707160708371727169684832690
Rayé
1Corey Schwab100.00697076747371778076686534467819680
MOYENNE D’ÉQUIPE100.0072737273727077827671695155683470
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Martin75797879788187CAN41395,000$


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
1David ArchibaldWeetouches (NYR)RW743737743200831812186016216.97%15165322.341111224623610172046446.41%103200010.9000000763
2Paul RanheimWeetouches (NYR)LW78314172102601101032467018212.60%15175622.52422266532401172694254.09%22000000.8200000375
3Josef BeranekWeetouches (NYR)C8230396910180481702157215513.95%6157219.17816246233401141372151.33%191100010.8800000644
4Mike EaglesWeetouches (NYR)C82164359-286201812191384210111.59%7145317.7332023333070002902350.67%179000000.8100202244
5Shjon PodeinWeetouches (NYR)LW81233356-346096110238631799.66%13157919.50813216831001121836151.40%21400000.7100000535
6Jon KlemmWeetouches (NYR)D8244448-64359511511430843.51%95183022.3321012693050001255000.00%000000.5200001303
7Keith JonesWeetouches (NYR)RW82202343724045721945317010.31%12120414.69459412141011171045.88%8500000.7100000340
8Jody HullWeetouches (NYR)RW82241943-98017911904910712.63%8101312.3632513500001424257.69%7800000.8500000022
9Bret HedicanWeetouches (NYR)D8243640534049735924426.78%71138716.9213419821121111200.00%000000.5800000021
10Louie DebruskWeetouches (NYR)LW82181634211420219791453010212.41%13107313.092246190002742140.00%13500010.6300121613
11Jason WoolleyRangersD46122234-10155336487296113.79%57107823.4610717641930000139010.00%000000.6300010001
12Valery BureWeetouches (NYR)RW82181533-5802877134308913.43%4104512.75731024165000012137.31%6700000.6300000233
13Brad WerenkaWeetouches (NYR)D7742529-28915119636816495.88%66141118.33347331450001140110.00%000000.4100201011
14Bob HalkidisWeetouches (NYR)D74424281310820187518714504.60%59169222.883811543010111215000.00%100000.3300022201
15Shawn CroninWeetouches (NYR)D6642125-5835167364219219.52%94151923.02257202560001205120.00%000000.3300100014
16Darin KimbleWeetouches (NYR)C76814220200371148329659.64%593612.33000000000571145.24%105000000.4700000101
17Scott PellerinWeetouches (NYR)LW8171421-418050477623559.21%75997.40000000001752053.62%6900000.7000000010
18Murray BaronRangersD8178213517944525.00%1417321.68123429000026000.00%000000.9200000011
19Dominic LavoieWeetouches (NYR)D4014585407120194135.26%3659914.9800005000148000.00%000000.1700000001
20Gino OdjickWeetouches (NYR)LW65011-5181016810080.00%11171.81011119000030046.34%4100000.1700011000
21Dallas EakinsWeetouches (NYR)D17011019525127150.00%1628216.6400002000016000.00%000000.0700001000
22Chris MarinucciWeetouches (NYR)C16000-4206205180.00%11418.8700000000000049.37%15800000.0000000000
23Shawn RiversWeetouches (NYR)C17000155891200.00%11257.3600000000000042.42%13200000.0000001000
24Mike CraigWeetouches (NYR)RW4000120301100.00%0112.970000000000000.00%300000.0000000000
Statistiques d’équipe totales ou en moyenne14762664797457873115171017432381666171311.17%6162425916.44721342066223305358332317362049.01%698600030.61006610404043
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
1Dominic RousselWeetouches (NYR)53231880.8863.0029810114913070100.00005032131
2Corey SchwabWeetouches (NYR)27111050.8823.16155622826940100.0000263200
3Jeff ReeseWeetouches (NYR)92410.8893.3746300262340000.0000647000
Statistiques d’équipe totales ou en moyenne893632140.8853.0850012325722350200.00008282331


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
Bob HalkidisWeetouches (NYR)D281993-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm100,000$10,000$81$No
Brad WerenkaWeetouches (NYR)D251996-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo1Pro & Farm400,000$40,000$325$No
Bret HedicanWeetouches (NYR)D241997-02-09 9:08:37 PMYes205 Lbs6 ft2NoNoNo2Pro & Farm400,000$40,000$325$No400,000$
Chris MarinucciWeetouches (NYR)C241997-02-09 9:08:37 PMNo175 Lbs6 ft0NoNoNo1Pro & Farm275,000$27,500$224$No
Corey SchwabWeetouches (NYR)G241997-02-09 9:08:37 PMNo185 Lbs6 ft0NoNoNo1Pro & Farm150,000$15,000$122$No
Dallas EakinsWeetouches (NYR)D271994-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo2Pro & Farm275,000$27,500$224$No275,000$
Darin Kimble (sur la masse salariale)Weetouches (NYR)C261995-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo1Pro & Farm450,000$45,000$366$No
David Archibald (sur la masse salariale)Weetouches (NYR)RW251996-02-09 9:08:37 PMNo202 Lbs6 ft1NoNoNo3Pro & Farm700,000$70,000$569$No700,000$700,000$
Dominic LavoieWeetouches (NYR)D271994-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo2Pro & Farm450,000$45,000$366$No450,000$
Dominic RousselWeetouches (NYR)G241997-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo3Pro & Farm725,000$72,500$589$No725,000$725,000$
Gino OdjickWeetouches (NYR)LW241997-02-09 9:08:37 PMNo215 Lbs6 ft3NoNoNo4Pro & Farm400,000$40,000$325$No400,000$400,000$400,000$
Jeff ReeseWeetouches (NYR)G281993-02-09 9:08:37 PMNo170 Lbs5 ft9NoNoNo1Pro & Farm275,000$27,500$224$No
Jody HullWeetouches (NYR)RW251996-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo2Pro & Farm535,000$53,500$435$No535,000$
Jon KlemmWeetouches (NYR)D241997-02-09 9:08:37 PMNo203 Lbs6 ft3NoNoNo2Pro & Farm275,000$27,500$224$No275,000$
Josef BeranekWeetouches (NYR)C251996-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo1Pro & Farm470,000$47,000$382$No
Keith JonesWeetouches (NYR)RW261995-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo3Pro & Farm602,000$60,200$489$No602,000$602,000$
Louie DebruskWeetouches (NYR)LW241997-02-09 9:08:37 PMNo225 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$203$No
Mike CraigWeetouches (NYR)RW231998-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm500,000$50,000$407$No500,000$
Mike EaglesWeetouches (NYR)C311990-02-09 9:08:37 PMNo190 Lbs5 ft10NoNoNo2Pro & Farm750,000$75,000$610$No750,000$
Paul RanheimWeetouches (NYR)LW281993-02-09 9:08:37 PMNo210 Lbs6 ft1NoNoNo1Pro & Farm515,000$51,500$419$No
Scott PellerinWeetouches (NYR)LW241997-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo1Pro & Farm350,000$35,000$285$No
Shawn CroninWeetouches (NYR)D311990-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm250,000$25,000$203$No
Shawn RiversWeetouches (NYR)C231998-02-09 9:08:37 PMNo185 Lbs5 ft10NoNoNo1Pro & Farm275,000$27,500$224$No
Shjon PodeinWeetouches (NYR)LW261995-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo3Pro & Farm646,000$64,600$525$No646,000$646,000$
Valery BureWeetouches (NYR)RW202001-02-09 9:08:37 PMYes179 Lbs5 ft11NoNoNo2Pro & Farm450,000$45,000$366$No450,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.44196 Lbs6 ft11.76418,720$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shjon PodeinJosef Beranek35122
2Louie DebruskMike EaglesJody Hull30122
3Scott PellerinChris MarinucciKeith Jones20122
4Gino OdjickValery Bure15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon KlemmBob Halkidis35122
2Shawn CroninBrad Werenka30122
3Bret HedicanDominic Lavoie20122
4Jon KlemmBob Halkidis15122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Shjon PodeinJosef Beranek60122
2Louie DebruskMike EaglesJody Hull40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon KlemmBob Halkidis60122
2Shawn CroninBrad Werenka40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Shjon Podein60122
2Jody HullJosef Beranek40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon KlemmBob Halkidis60122
2Shawn CroninBrad Werenka40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jon KlemmBob Halkidis60122
2Shjon Podein40122Shawn CroninBrad Werenka40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Shjon Podein60122
2Jody HullJosef Beranek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jon KlemmBob Halkidis60122
2Shawn CroninBrad Werenka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shjon PodeinJosef BeranekJon KlemmBob Halkidis
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Shjon PodeinJosef BeranekJon KlemmBob Halkidis
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Craig, Keith Jones, Scott PellerinMike Craig, Keith JonesScott Pellerin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Bret Hedican, Dominic Lavoie, Shawn CroninBret HedicanDominic Lavoie, Shawn Cronin
Tirs de pénalité
, Shjon Podein, Jody Hull, Josef Beranek, Keith Jones
Gardien
#1 : Dominic Roussel, #2 : Jeff Reese


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 Rouges5311000025187311100001214-222000000134970.70025487300929577216179776578633137365612122522.73%16475.00%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
2As421100001394211000009722101000042250.6251323360092957721307977657863311328359819631.58%150100.00%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
3Banshees824002001925-6422000001312140200200613-760.3751930490092957721917977657863324467931503339.09%40587.50%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
4Canadiens62211000201913120000068-2310110001411370.58320375700929577220079776578633161416213636925.00%25676.00%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
5Chiefs65100000231310330000001266321000001174100.83323436601929577217079776578633155327812734720.59%29582.76%11447289549.98%1321273748.26%656135448.45%1982133319196451101551
6Citadelles84220000271894211000015874211000012102100.62527497600929577224979776578633197487615637718.92%31583.87%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
7Croque-Morts42000200151412000020079-22200000085360.7501524390092957721167977657863310027448017423.53%22481.82%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
8Harvard614100001723-630210000711-4312000001012-230.2501730470092957721557977657863316540791292926.90%31583.87%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
9Isotopes814300002129-840310000814-6411200001315-250.31321406100929577222979776578633220738315345817.78%35780.00%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
10Mooses422000001416-22110000089-12110000067-140.50014253900929577298797765786339626266925624.00%13469.23%11447289549.98%1321273748.26%656135448.45%1982133319196451101551
11Pacifiques de la route4301000017116210100009722200000084470.8751731480092957721287977657863310333587722627.27%20385.00%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
12Riverman40211000711-4200110005412020000027-530.3757111800929577293797765786331134049961915.26%22386.36%11447289549.98%1321273748.26%656135448.45%1982133319196451101551
13Snipers44000000181262200000010642200000086281.0001834520092957721077977657863312339418611218.18%16381.25%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
14Spoonman's714200001727-1030210000713-6412100001014-440.28617314801929577220179776578633188586314330413.33%27966.67%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
15Wolves42110000131212200000061520110000711-450.6251323360192957721537977657863312028328917211.76%11281.82%01447289549.98%1321273748.26%656135448.45%1982133319196451101551
Total8234281424002662579411615712001341295411813712001321284900.549266479745039295772238179776578633223561687517103967218.18%3536581.59%31447289549.98%1321273748.26%656135448.45%1982133319196451101551
_Since Last GM Reset824828024002662579411615712001341295413213-7120013212841040.634266479745039295772238179776578633223561687517103967218.18%3536581.59%31447289549.98%1321273748.26%656135448.45%1982133319196451101551
_Vs Conference49252101200144154-1024812400006872-425179-412007682-6540.55114426040402929577213957977657863313303595349942444016.39%2184280.73%11447289549.98%1321273748.26%656135448.45%1982133319196451101551
_Vs Division241210002006772-5124620000363421284-202003138-7260.54267119186009295772669797765786336611882524591151815.65%1061783.96%01447289549.98%1321273748.26%656135448.45%1982133319196451101551

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W126647974523812235616875171003
Tous les matchs
GPWLOTWOTL TGFGA
8234282414266257
Matchs locaux
GPWLOTWOTL TGFGA
411615127134129
Matchs extérieurs
GPWLOTWOTL TGFGA
411813127132128
Derniers 10 matchs
WLOTWOTL T
34102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3967218.18%3536581.59%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
797765786339295772
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
1447289549.98%1321273748.26%656135448.45%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1982133319196451101551


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 - 2021-05-044Weetouches3Isotopes3TXSommaire du match
2 - 2021-05-059Banshees1Weetouches4WSommaire du match
4 - 2021-05-0722Ailes Rouges7Weetouches1LSommaire du match
6 - 2021-05-0935Citadelles3Weetouches3TXSommaire du match
7 - 2021-05-1039Weetouches4Citadelles2WSommaire du match
8 - 2021-05-1149Isotopes4Weetouches3LSommaire du match
9 - 2021-05-1255Weetouches5Chiefs0WSommaire du match
11 - 2021-05-1464Weetouches1Banshees5LSommaire du match
13 - 2021-05-1671Citadelles1Weetouches5WSommaire du match
15 - 2021-05-1883Chiefs2Weetouches4WSommaire du match
17 - 2021-05-2088Weetouches4Spoonman's0WSommaire du match
19 - 2021-05-2297Weetouches2Isotopes2TXSommaire du match
21 - 2021-05-24103Spoonman's6Weetouches2LSommaire du match
23 - 2021-05-26113Weetouches2Spoonman's6LSommaire du match
25 - 2021-05-28119Banshees2Weetouches5WSommaire du match
27 - 2021-05-30127Weetouches2Banshees3LSommaire du match
29 - 2021-06-01135Snipers4Weetouches5WSommaire du match
30 - 2021-06-02144Citadelles2Weetouches6WSommaire du match
33 - 2021-06-05157Weetouches1Spoonman's5LSommaire du match
34 - 2021-06-06165Wolves0Weetouches4WSommaire du match
35 - 2021-06-07173Weetouches4Wolves4TXSommaire du match
36 - 2021-06-08181Harvard5Weetouches2LSommaire du match
38 - 2021-06-10189Weetouches4Snipers3WSommaire du match
40 - 2021-06-12197Harvard3Weetouches2LSommaire du match
42 - 2021-06-14206Wolves1Weetouches2WSommaire du match
44 - 2021-06-16213Weetouches3Wolves7LSommaire du match
46 - 2021-06-18221Weetouches4Snipers3WSommaire du match
48 - 2021-06-20229Harvard3Weetouches3TXSommaire du match
50 - 2021-06-22237Weetouches4Harvard5LSommaire du match
52 - 2021-06-24245Snipers2Weetouches5WSommaire du match
53 - 2021-06-25253Weetouches6Croque-Morts4WSommaire du match
55 - 2021-06-27261Isotopes4Weetouches0LSommaire du match
57 - 2021-06-29270Weetouches1As1TXSommaire du match
58 - 2021-06-30278As3Weetouches7WSommaire du match
59 - 2021-07-01288Pacifiques de la route3Weetouches5WSommaire du match
60 - 2021-07-02294Weetouches4Harvard3WSommaire du match
61 - 2021-07-03304Weetouches3Mooses2WSommaire du match
62 - 2021-07-04307Isotopes5Weetouches4LSommaire du match
64 - 2021-07-06320Weetouches4Canadiens4TXSommaire du match
65 - 2021-07-07323Ailes Rouges4Weetouches8WSommaire du match
66 - 2021-07-08333Weetouches2Harvard4LSommaire du match
69 - 2021-07-11341Riverman2Weetouches2TXSommaire du match
70 - 2021-07-12353Weetouches5Isotopes4WSommaire du match
71 - 2021-07-13356Ailes Rouges3Weetouches3TXSommaire du match
74 - 2021-07-16368Weetouches3Mooses5LSommaire du match
75 - 2021-07-17372Croque-Morts5Weetouches4LXSommaire du match
77 - 2021-07-19382Weetouches3Spoonman's3TXSommaire du match
78 - 2021-07-20389Weetouches2Croque-Morts1WSommaire du match
79 - 2021-07-21396Spoonman's4Weetouches2LSommaire du match
80 - 2021-07-22403Banshees4Weetouches2LSommaire du match
82 - 2021-07-24414Weetouches4Ailes Rouges3WSommaire du match
83 - 2021-07-25419Mooses3Weetouches4WSommaire du match
84 - 2021-07-26429Weetouches3Isotopes6LSommaire du match
85 - 2021-07-27435Riverman2Weetouches3WXSommaire du match
88 - 2021-07-30446Weetouches9Ailes Rouges1WSommaire du match
89 - 2021-07-31451Chiefs2Weetouches3WSommaire du match
91 - 2021-08-02465Croque-Morts4Weetouches3LXSommaire du match
92 - 2021-08-03475Weetouches3As1WSommaire du match
93 - 2021-08-04480Canadiens4Weetouches1LSommaire du match
96 - 2021-08-07493Weetouches3Pacifiques de la route2WSommaire du match
97 - 2021-08-08500Spoonman's3Weetouches3TXSommaire du match
98 - 2021-08-09509Weetouches5Pacifiques de la route2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
99 - 2021-08-10515As4Weetouches2LSommaire du match
100 - 2021-08-11526Weetouches1Banshees2LXSommaire du match
101 - 2021-08-12530Mooses6Weetouches4LSommaire du match
102 - 2021-08-13534Weetouches1Citadelles4LSommaire du match
103 - 2021-08-14545Canadiens2Weetouches4WSommaire du match
105 - 2021-08-16557Weetouches1Riverman4LSommaire du match
106 - 2021-08-17562Banshees5Weetouches2LSommaire du match
107 - 2021-08-18570Weetouches2Banshees3LXSommaire du match
108 - 2021-08-19577Chiefs2Weetouches5WSommaire du match
109 - 2021-08-20584Weetouches3Citadelles3TXSommaire du match
111 - 2021-08-22594Isotopes1Weetouches1TXSommaire du match
112 - 2021-08-23599Weetouches6Chiefs2WSommaire du match
114 - 2021-08-25609Canadiens2Weetouches1LSommaire du match
115 - 2021-08-26619Weetouches4Citadelles1WSommaire du match
116 - 2021-08-27623Weetouches4Canadiens3WXSommaire du match
117 - 2021-08-28628Pacifiques de la route4Weetouches4TXSommaire du match
118 - 2021-08-29634Weetouches0Chiefs5LSommaire du match
119 - 2021-08-30642Weetouches1Riverman3LSommaire du match
120 - 2021-08-31645Citadelles2Weetouches1LSommaire du match
121 - 2021-09-01652Weetouches6Canadiens4WSommaire 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
1,173,531$ 1,001,800$ 986,800$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,001,800$ 1,173,531$ 24 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 8,917$ 8,917$




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