Wolves

GP: 53 | W: 23 | L: 20 | T: 7 | P: 56
GF: 181 | GA: 170 | PP%: 21.19% | PK%: 85.87%
DG: Eric Pilon | Morale : 49 | Moyenne d'Équipe : 63
Prochain matchs #378 vs Citadelles
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Dave Hannan (A)X100.006952727166777863647062816277791553680321325,000$
2Randy BurridgeX100.005747756870676877757976657246515452670274650,000$
3Mike Hudson (C)X99.007453736571727074647369786242406059660262150,000$
4Nikolai BorschevskyX100.005743806969646878677878637040434765660283750,000$
5Yuri KhmylevX100.005546726973727076677674646846483962660291350,000$
6Kevin Kaminski (A)X100.007872496868686870637269656441457452640241155,000$
7Chris Gratton (R)X100.007770606574828263757267646735359065640193250,000$
8Dean McAmmond (R)X100.004941777272646471637168666229299662620202300,000$
9Tyler Wright (R)X100.007574407168646663586357745428289751600201200,000$
10Jason Dawe (R)X100.005548726970646565636860695633299562600211180,000$
11Ed CourtenayX100.005250596676666660546066626234466820590251255,000$
12Craig LudwigX100.006347765977747561545841854077761553670324618,000$
13Darius KasparaitisX100.008376486976666765596842824030339756650213425,000$
14Jassen Cullimore (R)X100.007058606582686859576648774627279762620212350,000$
15Pat MacLeodX100.005849716872686870627154684844397548620242150,000$
16Mike Rathje (R)X100.006461536280707060536241753628329746610193400,000$
17Jason Smith (R)X100.005752616577646557546238743631349741600203400,000$
Rayé
1Robert KronX96.616244846872687066667173737143426150650261500,000$
2Paul DiPietroX100.005646717069606068637065676227278319610232335,000$
3Juha Lind (R)X100.005544787067626464636262636027309720590193450,000$
4Robert Petrovicky (R)X100.004941757168636562606659595728289720580203350,000$
5Alek StojanovX100.006254656282555652546347674529309820550193450,000$
6Sergei Bautin (R)X100.006150686775646270627045734040426142620262250,000$
7Ilya Byakin (R)X100.005744737060595573457163616555422020610313250,000$
8Nathan Demspey (R)X100.006251656773606062586638723627309720590193410,000$
9Cale Hulse (R)X100.006758646474656658586534723229289720590202200,000$
10Sami Helenius (R)X100.006452735982555651495635663326299820560192320,000$
MOYENNE D'ÉQUIPE99.84635367677366666560685770543839754362
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
1Tommy Soderstrom100.00767669697178858984737635447447710
2Jim Carey (R)100.00697478767573778378727031359716680
Rayé
1Kay Whitmore100.00738177747565738073737159656040700
2Jacques Cloutier100.00777165666766708272727364681120680
3Chris Osgood (R)100.00708275727367727973716842429520670
MOYENNE D'ÉQUIPE100.0073777371727075837672724651672969
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Butch Goring67786566868377CAN552950,000$


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
1Mike HudsonWolves (CHI)C5322315318355971241345410016.42%12108920.56712193018000052473048.66%149800000.9700010482
2Yuri KhmylevWolves (CHI)LW53223052171002053124288517.74%180515.1961218291480000333159.32%5900001.2900000542
3Dave HannanWolves (CHI)LW53152843127546871493710010.07%17105219.8678154517400041984155.91%12700000.8200001212
4Robert KronWolves (CHI)RW48162238-112017631083111514.81%789018.5647113614900021792446.03%6300000.8500000312
5Darius KasparaitisWolves (CHI)D5052934-413925162635511389.09%66108221.6531114321300000167100.00%000000.6300005112
6Nikolai BorschevskyWolves (CHI)RW41181432280750117367915.38%765816.075611321350000215044.07%5900100.9700000202
7Jassen CullimoreWolves (CHI)D53723301320703755164012.73%56118022.2821214321770000232100.00%000100.5100000112
8Kevin KaminskiWolves (CHI)C53121830-868010179111247210.81%675414.23268361240000310143.68%74400000.8000000011
9Randy BurridgeWolves (CHI)LW53141529-6201155132478310.61%583915.8521320950002401046.53%10100100.6900000222
10Chris GrattonWolves (CHI)C53121729-877151378579196315.19%385316.10661224159000021155.17%107300000.6800210211
11Pat MacLeodWolves (CHI)D4041923-126037434119229.76%3178519.63461024142000043000.00%000000.5900000110
12Mike RathjeWolves (CHI)D46213151865510929136915.38%5582317.910003390000162000.00%000000.3600001011
13Craig LudwigWolves (CHI)D5121315624047612110259.52%87107421.080004280001228000.00%000000.2800000010
14Jason DaweWolves (CHI)RW517714-440134341143717.07%34669.141018610000111040.00%2500100.6000000023
15Jason SmithWolves (CHI)D3631114-648104513141721.43%2455715.49022117000049000.00%000000.5000100001
16Dean McAmmondWolves (CHI)LW535813-2204366718537.46%45279.960002230004680033.33%3300000.4900000002
17Sergei BautinWolves (CHI)D351910-132605036215164.76%3565418.70112665000178000.00%000000.3100000000
18Tyler WrightWolves (CHI)C45358-646075524616296.52%751611.470001500031431041.30%41400000.3100000000
19Ilya ByakinWolves (CHI)D7022120657030.00%413118.72000310000014000.00%000000.3100000000
20Ed CourtenayWolves (CHI)RW17101-80065931311.11%01619.4700012000050025.00%800000.1200000000
21Paul DiPietroWolves (CHI)C10000-100264240.00%0545.4200001000010052.08%4800000.0000000000
Stats d'équipe Total ou en Moyenne901171314485-46536510621025134839799312.69%4301496016.605090140369187300022196123848.75%425200400.6500327232525
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
1Tommy SoderstromWolves (CHI)29121310.8893.21158901857680000.00002627102
2Kay WhitmoreWolves (CHI)176630.8893.0492921474220010.00001524101
3Jim CareyWolves (CHI)135430.8923.1770100373420200.0000122100
Stats d'équipe Total ou en Moyenne59232370.8903.1532202216915320210.00005353303


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alek StojanovWolves (CHI)RW192001-02-09 9:08:37 PMNo232 Lbs6 ft4NoNoNo3Pro & Farm450,000$45,000$16,544$No450,000$450,000$
Cale HulseWolves (CHI)D202000-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm200,000$20,000$7,353$No200,000$
Chris GrattonWolves (CHI)C192001-08-11 9:06:42 AMYes220 Lbs6 ft3NoNoNo3Pro & Farm250,000$25,000$9,191$No250,000$250,000$
Chris OsgoodWolves (CHI)G211999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo2Pro & Farm400,000$40,000$14,706$No400,000$
Craig LudwigWolves (CHI)D321988-02-09 9:08:37 PMNo210 Lbs6 ft3NoNoNo4Pro & Farm618,000$61,800$22,721$No618,000$618,000$618,000$
Darius KasparaitisWolves (CHI)D211999-02-09 9:08:37 PMNo209 Lbs5 ft11NoNoNo3Pro & Farm425,000$42,500$15,625$No425,000$425,000$
Dave HannanWolves (CHI)LW321988-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo1Pro & Farm325,000$32,500$11,949$No
Dean McAmmondWolves (CHI)LW202000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$11,029$No300,000$
Ed CourtenayWolves (CHI)RW251995-02-09 9:08:37 PMNo200 Lbs6 ft4NoNoNo1Pro & Farm255,000$25,500$9,375$No
Ilya ByakinWolves (CHI)D311989-08-11 9:00:40 AMYes183 Lbs5 ft10NoNoNo3Pro & Farm250,000$25,000$9,191$No250,000$250,000$
Jacques CloutierWolves (CHI)G331987-02-09 9:08:37 PMNo155 Lbs5 ft7NoNoNo1Pro & Farm400,000$40,000$14,706$No
Jason DaweWolves (CHI)RW211999-02-09 9:08:37 PMYes189 Lbs5 ft10NoNoNo1Pro & Farm180,000$18,000$6,618$No
Jason SmithWolves (CHI)D202000-02-09 9:08:37 PMYes205 Lbs6 ft3NoNoNo3Pro & Farm400,000$40,000$14,706$No400,000$400,000$
Jassen CullimoreWolves (CHI)D211999-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm350,000$35,000$12,868$No350,000$
Jim CareyWolves (CHI)G192001-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo3Pro & Farm500,000$50,000$18,382$No500,000$500,000$
Juha LindWolves (CHI)LW192001-02-09 9:08:37 PMYes166 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$16,544$No450,000$450,000$
Kay WhitmoreWolves (CHI)G261994-02-09 9:08:37 PMNo175 Lbs5 ft11NoNoNo4Pro & Farm735,000$73,500$27,022$No735,000$735,000$735,000$
Kevin KaminskiWolves (CHI)C241996-02-09 9:08:37 PMNo170 Lbs5 ft9NoNoNo1Pro & Farm155,000$15,500$5,699$No
Mike HudsonWolves (CHI)C261994-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm150,000$15,000$5,515$No150,000$
Mike RathjeWolves (CHI)D192001-02-09 9:08:37 PMYes230 Lbs6 ft5NoNoNo3Pro & Farm400,000$40,000$14,706$No400,000$400,000$
Nathan DemspeyWolves (CHI)D192001-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$15,074$No410,000$410,000$
Nikolai BorschevskyWolves (CHI)RW281992-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo3Pro & Farm750,000$75,000$27,574$No750,000$750,000$
Pat MacLeodWolves (CHI)D241996-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo2Pro & Farm150,000$15,000$5,515$No150,000$
Paul DiPietroWolves (CHI)C231997-02-09 9:08:37 PMNo181 Lbs5 ft9NoNoNo2Pro & Farm335,000$33,500$12,316$No335,000$
Randy BurridgeWolves (CHI)LW271993-02-09 9:08:37 PMNo185 Lbs5 ft9NoNoNo4Pro & Farm650,000$65,000$23,897$No650,000$650,000$650,000$
Robert KronWolves (CHI)RW261994-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo1Pro & Farm500,000$50,000$18,382$No
Robert PetrovickyWolves (CHI)C202000-02-09 9:08:37 PMYes176 Lbs5 ft11NoNoNo3Pro & Farm350,000$35,000$12,868$No350,000$350,000$
Sami HeleniusWolves (CHI)D192001-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm320,000$32,000$11,765$No320,000$
Sergei BautinWolves (CHI)D261994-02-09 9:08:37 PMYes200 Lbs6 ft3NoNoNo2Pro & Farm250,000$25,000$9,191$No250,000$
Tommy SoderstromWolves (CHI)G241996-02-09 9:08:37 PMNo162 Lbs5 ft10NoNoNo2Pro & Farm750,000$75,000$27,574$No750,000$
Tyler WrightWolves (CHI)C202000-02-09 9:08:37 PMYes175 Lbs5 ft11NoNoNo1Pro & Farm200,000$20,000$7,353$No
Yuri KhmylevWolves (CHI)LW291991-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$12,868$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3223.53192 Lbs6 ft02.28381,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dave HannanChris GrattonNikolai Borschevsky30023
2Yuri KhmylevMike Hudson30023
3Randy BurridgeKevin KaminskiEd Courtenay30023
4Dean McAmmondTyler WrightJason Dawe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Darius KasparaitisJassen Cullimore40041
2Pat MacLeodMike Rathje35041
3Craig LudwigJason Smith25041
4Craig LudwigDarius Kasparaitis0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yuri KhmylevMike HudsonNikolai Borschevsky60005
2Dave HannanChris GrattonEd Courtenay40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Pat MacLeodMike Rathje60014
2Darius KasparaitisJassen Cullimore40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mike HudsonEd Courtenay60050
2Tyler WrightDave Hannan40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Craig LudwigJassen Cullimore60050
2Darius KasparaitisMike Rathje40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mike Hudson60050Craig LudwigJassen Cullimore60050
2Dave Hannan40050Darius KasparaitisMike Rathje40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris GrattonRandy Burridge60014
2Mike HudsonDave Hannan40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Darius KasparaitisJassen Cullimore55041
2Craig LudwigPat MacLeod45041
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yuri KhmylevMike HudsonNikolai BorschevskyDarius KasparaitisJassen Cullimore
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dave HannanMike HudsonEd CourtenayCraig LudwigDarius Kasparaitis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Randy Burridge, Chris Gratton, Dave HannanChris Gratton, Randy BurridgeMike Hudson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Craig Ludwig, Darius Kasparaitis, Jassen CullimoreJassen CullimoreCraig Ludwig, Darius Kasparaitis
Tirs de Pénalité
Randy Burridge, Nikolai Borschevsky, Chris Gratton, Yuri Khmylev, Dave Hannan
Gardien
#1 : Tommy Soderstrom, #2 : Jim Carey


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
LigueDomicileVisiteur
# 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 Rouges7420010027252421001001616032100000119290.64327497600695160122150145445217167581111493438.82%32584.38%0854171149.91%920187549.07%38384045.60%12238071305427698344
2As6240000020191312000001082312000001011-140.33320375710695160115750145445217152487512034720.59%33293.94%0854171149.91%920187549.07%38384045.60%12238071305427698344
3Banshees40400000718-112020000068-220200000110-900.000713200069516011145014544521712036598611327.27%26580.77%0854171149.91%920187549.07%38384045.60%12238071305427698344
4Canadiens3201000010460000000000032010000104650.83310172700695160169501454452177025337318527.78%13192.31%0854171149.91%920187549.07%38384045.60%12238071305427698344
5Chiefs311001001183210001009451010000024-230.50011203101695160173501454452178316224916531.25%11281.82%0854171149.91%920187549.07%38384045.60%12238071305427698344
6Citadelles2011000057-21010000024-21001000033010.25057120069516016450145445217581331496116.67%8362.50%0854171149.91%920187549.07%38384045.60%12238071305427698344
7Croque-Morts9341010030264623001001718-131110000138580.444305181006951601217501454452172868211918641819.51%56787.50%0854171149.91%920187549.07%38384045.60%12238071305427698344
8Harvard531100002217521010000128432100000109170.70022365800695160112150145445217166415810719631.58%28678.57%0854171149.91%920187549.07%38384045.60%12238071305427698344
9Isotopes220000001156110000003121100000084441.0001121320069516016250145445217509123412541.67%6183.33%0854171149.91%920187549.07%38384045.60%12238071305427698344
10Pacifiques de la route503110001528-1330201000614-820110000914-530.300152843006951601142501454452171694560991516.67%30583.33%0854171149.91%920187549.07%38384045.60%12238071305427698344
11Riverman22000000945110000004221100000052341.000918270069516016250145445217511828396116.67%130100.00%0854171149.91%920187549.07%38384045.60%12238071305427698344
12Snipers22000000844110000003031100000054141.0008142201695160153501454452176115255912216.67%100100.00%0854171149.91%920187549.07%38384045.60%12238071305427698344
13Spoonman's31020000651100100001102101000054140.66761218006951601695014544521710033345612325.00%17382.35%0854171149.91%920187549.07%38384045.60%12238071305427698344
Total53222071300181170112710112130089845261295000092866560.528181323504126951601142450145445217153343966711062365021.19%2834085.87%0854171149.91%920187549.07%38384045.60%12238071305427698344
_Since Last GM Reset5329200130018117011271011213008984526199-2000092866630.594181323504126951601142450145445217153343966711062365021.19%2834085.87%0854171149.91%920187549.07%38384045.60%12238071305427698344
_Vs Conference3115130120010910631878012005658-213850000053485340.548109197306116951601852501454452178862664186521422215.49%1741989.08%0854171149.91%920187549.07%38384045.60%12238071305427698344
_Vs Division2210100020077707135600200434219540000034286220.50077137214106951601595501454452176051883054551091816.51%1211488.43%0854171149.91%920187549.07%38384045.60%12238071305427698344

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5356L218132350414241533439667110612
Tous les Matchs
GPWLOTWOTL TGFGA
532220137181170
Matchs locaux
GPWLOTWOTL TGFGA
2710111328984
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
261290059286
Derniers 10 Matchs
WLOTWOTL T
26002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2365021.19%2834085.87%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
501454452176951601
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
854171149.91%920187549.07%38384045.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12238071305427698344


Derniers Match 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 - 2020-09-215Ailes Rouges5Wolves3LSommaire du Match
2 - 2020-09-2210Wolves5Ailes Rouges3WSommaire du Match
4 - 2020-09-2420Ailes Rouges3Wolves4WSommaire du Match
6 - 2020-09-2630As3Wolves1LSommaire du Match
8 - 2020-09-2838Wolves4As2WSommaire du Match
9 - 2020-09-2941Wolves4Ailes Rouges3WSommaire du Match
10 - 2020-09-3048Croque-Morts3Wolves5WSommaire du Match
11 - 2020-10-0157Wolves3Pacifiques de la route8LSommaire du Match
13 - 2020-10-0363Croque-Morts3Wolves2LXSommaire du Match
15 - 2020-10-0568Wolves3Croque-Morts4LSommaire du Match
17 - 2020-10-0776Croque-Morts5Wolves3LSommaire du Match
19 - 2020-10-0985Wolves2Canadiens2TXSommaire du Match
21 - 2020-10-1190Snipers0Wolves3WSommaire du Match
23 - 2020-10-1398Wolves2As4LSommaire du Match
25 - 2020-10-15103Croque-Morts1Wolves3WSommaire du Match
27 - 2020-10-17111Wolves4Harvard1WSommaire du Match
29 - 2020-10-19118Ailes Rouges4Wolves6WSommaire du Match
31 - 2020-10-21127Banshees3Wolves2LSommaire du Match
33 - 2020-10-23131Wolves4Harvard3WSommaire du Match
35 - 2020-10-25141Pacifiques de la route6Wolves0LSommaire du Match
37 - 2020-10-27149Wolves5Snipers4WSommaire du Match
39 - 2020-10-29153Wolves4As5LSommaire du Match
41 - 2020-10-31160Chiefs0Wolves6WSommaire du Match
42 - 2020-11-01169Chiefs4Wolves3LXSommaire du Match
44 - 2020-11-03176Wolves2Harvard5LSommaire du Match
46 - 2020-11-05183Wolves4Canadiens1WSommaire du Match
47 - 2020-11-06187Wolves3Spoonman's2WSommaire du Match
48 - 2020-11-07194Isotopes1Wolves3WSommaire du Match
50 - 2020-11-09203Harvard6Wolves6TXSommaire du Match
52 - 2020-11-11212As4Wolves3LSommaire du Match
53 - 2020-11-12215Wolves2Spoonman's2TXSommaire du Match
55 - 2020-11-14226Harvard2Wolves6WSommaire du Match
57 - 2020-11-16232Wolves1Croque-Morts1TXSommaire du Match
58 - 2020-11-17238Wolves2Ailes Rouges3LSommaire du Match
59 - 2020-11-18244Ailes Rouges4Wolves3LXSommaire du Match
61 - 2020-11-20253As1Wolves6WSommaire du Match
62 - 2020-11-21257Wolves8Isotopes4WSommaire du Match
65 - 2020-11-24269Spoonman's1Wolves1TXSommaire du Match
66 - 2020-11-25272Wolves2Chiefs4LSommaire du Match
67 - 2020-11-26281Wolves9Croque-Morts3WSommaire du Match
68 - 2020-11-27285Wolves5Riverman2WSommaire du Match
70 - 2020-11-29292Citadelles4Wolves2LSommaire du Match
72 - 2020-12-01300Pacifiques de la route3Wolves4WXSommaire du Match
73 - 2020-12-02305Wolves6Pacifiques de la route6TXSommaire du Match
74 - 2020-12-03312Croque-Morts3Wolves2LSommaire du Match
75 - 2020-12-04323Riverman2Wolves4WSommaire du Match
77 - 2020-12-06330Wolves1Banshees6LSommaire du Match
78 - 2020-12-07337Wolves4Canadiens1WSommaire du Match
79 - 2020-12-08342Banshees5Wolves4LSommaire du Match
80 - 2020-12-09347Wolves0Banshees4LSommaire du Match
82 - 2020-12-11354Wolves3Citadelles3TXSommaire du Match
84 - 2020-12-13359Croque-Morts3Wolves2LSommaire du Match
86 - 2020-12-15369Pacifiques de la route5Wolves2LSommaire du Match
88 - 2020-12-17378Wolves-Citadelles-
90 - 2020-12-19384Ailes Rouges-Wolves-
92 - 2020-12-21392Wolves-Chiefs-
94 - 2020-12-23398Banshees-Wolves-
97 - 2020-12-26407Wolves-Citadelles-
98 - 2020-12-27411Canadiens-Wolves-
100 - 2020-12-29418Wolves-As-
101 - 2020-12-30423Wolves-Isotopes-
103 - 2021-01-01428Citadelles-Wolves-
104 - 2021-01-02438Wolves-Pacifiques de la route-
106 - 2021-01-04443Riverman-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07456Isotopes-Wolves-
111 - 2021-01-09462Wolves-Snipers-
112 - 2021-01-10467Snipers-Wolves-
114 - 2021-01-12476Wolves-Isotopes-
115 - 2021-01-13481Snipers-Wolves-
116 - 2021-01-14485Wolves-Riverman-
118 - 2021-01-16496Wolves-Banshees-
119 - 2021-01-17501Riverman-Wolves-
120 - 2021-01-18509As-Wolves-
121 - 2021-01-19517Wolves-Croque-Morts-
123 - 2021-01-21524Canadiens-Wolves-
125 - 2021-01-23535Chiefs-Wolves-
126 - 2021-01-24539Wolves-Spoonman's-
127 - 2021-01-25547Spoonman's-Wolves-
128 - 2021-01-26550Wolves-Pacifiques de la route-
130 - 2021-01-28555Wolves-Ailes Rouges-
132 - 2021-01-30563Wolves-Ailes Rouges-
134 - 2021-02-01568Citadelles-Wolves-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
14 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,385,954$ 1,220,800$ 1,220,800$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,220,800$ 1,385,954$ 32 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 50 15,962$ 798,100$




LigueDomicileVisiteur
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