Wolves
GP: 82 | W: 34 | L: 33 | T: 11 | P: 83
GF: 262 | GA: 257 | PP%: 20.30% | PK%: 84.69%
DG: Eric Pilon | Morale : 47 | Moyenne d'Équipe : 63
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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)X100.006952727166777863647062816277791558680331325,000$
2Randy BurridgeX100.005747756870676877757976657246515447670284650,000$
3Mike Hudson (C)X100.007453736571727074647369786242406065660272150,000$
4Nikolai BorschevskyX100.005743806969646878677878637040434769660293750,000$
5Yuri KhmylevX100.005546726973727076677674646846483967660301350,000$
6Robert KronX100.006244846872687066667173737143426145650271500,000$
7Kevin Kaminski (A)X100.007872496868686870637269656441457451640251155,000$
8Chris Gratton (R)X100.007770606574828263757267646735359071640193250,000$
9Dean McAmmond (R)X100.004941777272646471637168666229299667620212300,000$
10Paul DiPietroX100.005646717069606068637065676227278324610242335,000$
11Jason Dawe (R)X100.005548726970646565636860695633299557600221180,000$
12Robert Petrovicky (R)X100.004941757168636562606659595728289722580213350,000$
13Craig LudwigX100.006347765977747561545841854077761557670334618,000$
14Darius KasparaitisX100.008376486976666765596842824030339752650223425,000$
15Jassen Cullimore (R)X100.007058606582686859576648774627279767620222350,000$
16Pat MacLeodX100.005849716872686870627154684844397553620252150,000$
17Mike Rathje (R)X100.006461536280707060536241753628329737610203400,000$
18Jason Smith (R)X100.005752616577646557546238743631349738600213400,000$
Rayé
1Tyler Wright (R)X100.007574407168646663586357745428289744600211200,000$
2Ed CourtenayX100.005250596676666660546066626234466820590261255,000$
3Juha Lind (R)X100.005544787067626464636262636027309720590203450,000$
4Alek StojanovX100.006254656282555652546347674529309820550203450,000$
5Sergei Bautin (R)X100.006150686775646270627045734040426121620272250,000$
6Ilya Byakin (R)X100.005744737060595573457163616555422020610313250,000$
7Nathan Demspey (R)X100.006251656773606062586638723627309720590203410,000$
8Cale Hulse (R)X100.006758646474656658586534723229289720590212200,000$
9Sami Helenius (R)X100.006452735982555651495635663326299820560202320,000$
MOYENNE D'ÉQUIPE100.00635367677366666560685770543839754362
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 Soderstrom100.00767669697178858984737635447442710
2Jim Carey (R)100.00697478767573778378727031359722680
Rayé
1Kay Whitmore100.00738177747565738073737159656019700
2Jacques Cloutier100.00777165666766708272727364681120680
3Chris Osgood (R)100.00708275727367727973716842429517670
MOYENNE D'ÉQUIPE100.0073777371727075837672724651672469
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)C82284371866101541942088114513.46%19170520.80919285331611293634048.74%233500000.83000114112
2Yuri KhmylevWolves (CHI)LW822739661114038861965313513.78%3126715.4691322562630000373254.35%9200001.0400000643
3Dave HannanWolves (CHI)LW82204262049582134231631488.66%19162519.821114257030000082675159.11%20300000.7600001332
4Robert KronWolves (CHI)RW77233457-1120271031744917513.22%13145318.88612185726610152922545.71%10500000.7800000323
5Nikolai BorschevskyWolves (CHI)RW70262652-512016891925313913.54%7116816.6971522532750001337048.42%9500100.8900000415
6Darius KasparaitisWolves (CHI)D7874552-5204302211128723648.05%112170321.8441721532440000249300.00%000000.6100006323
7Chris GrattonWolves (CHI)C82222749-9114202071321323510616.67%5136316.6311122342284000033154.26%166800000.7200211321
8Jassen CullimoreWolves (CHI)D8213324515201037081285216.05%93185422.6161622493000110340200.00%000100.4900000233
9Randy BurridgeWolves (CHI)LW82212445-1210025982096614210.05%9125215.27246291220003582143.65%12600100.7200000234
10Kevin KaminskiWolves (CHI)C79202040-2108101511351522910713.16%7104713.26268361240002681147.06%105400010.7600101112
11Pat MacLeodWolves (CHI)D6942630-1234053676629376.06%54134319.484101442255000054000.00%000000.4500000110
12Mike RathjeWolves (CHI)D75719261292101525136132019.44%93141018.81516191420000248000.00%000000.3700011021
13Craig LudwigWolves (CHI)D8041923334081844113339.76%130165220.6610112620002344000.00%000000.2800000110
14Dean McAmmondWolves (CHI)LW82101020-22055697296910.31%67499.141013260004980133.33%4500000.5300000013
15Jason SmithWolves (CHI)D6031619-8681065282011015.00%4192715.46033337011084000.00%000000.4100100001
16Jason DaweWolves (CHI)RW808816-360156157185714.04%76848.561018670000111041.67%3600100.4700000023
17Tyler WrightWolves (CHI)C634812-556088655419387.41%865110.3501111300051791043.78%55500000.3700000000
18Sergei BautinWolves (CHI)D4111112-142605238235204.35%3878519.17123891000195000.00%000000.3100000000
19Paul DiPietroWolves (CHI)C39336-6401429319219.68%240710.44000020000220048.67%11300000.2900000010
20Robert PetrovickyWolves (CHI)C14033-94062511140.00%118413.1500000000030048.54%20600000.3300000000
21Ilya ByakinWolves (CHI)D7022120657030.00%413118.72000310000014000.00%000000.3100000000
22Ed CourtenayWolves (CHI)RW17101-80065931311.11%01619.4700012000050025.00%800000.1200000000
Stats d'équipe Total ou en Moyenne1423252457709-6596995156716672114620153811.92%6712353116.54801452255983210235402878341249.51%664100410.60004311334036
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)49192130.8922.9526690213112130000.00004339222
2Kay WhitmoreWolves (CHI)176630.8893.0492921474220010.00001529101
3Jim CareyWolves (CHI)216840.8853.21110400595140200.00001814200
4Chris OsgoodWolves (CHI)63210.8494.0128400191260000.000060100
Stats d'équipe Total ou en Moyenne933437110.8873.0849882325622750210.00008282623


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)RW202001-02-09 9:08:37 PMNo232 Lbs6 ft4NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Cale HulseWolves (CHI)D212000-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm200,000$20,000$147$No200,000$
Chris GrattonWolves (CHI)C192001-08-11 9:06:42 AMYes220 Lbs6 ft3NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Chris OsgoodWolves (CHI)G221999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Craig LudwigWolves (CHI)D331988-02-09 9:08:37 PMNo210 Lbs6 ft3NoNoNo4Pro & Farm618,000$61,800$454$No618,000$618,000$618,000$
Darius KasparaitisWolves (CHI)D221999-02-09 9:08:37 PMNo209 Lbs5 ft11NoNoNo3Pro & Farm425,000$42,500$312$No425,000$425,000$
Dave HannanWolves (CHI)LW331988-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo1Pro & Farm325,000$32,500$239$No
Dean McAmmondWolves (CHI)LW212000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$221$No300,000$
Ed CourtenayWolves (CHI)RW261995-02-09 9:08:37 PMNo200 Lbs6 ft4NoNoNo1Pro & Farm255,000$25,500$188$No
Ilya ByakinWolves (CHI)D311989-08-11 9:00:40 AMYes183 Lbs5 ft10NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Jacques CloutierWolves (CHI)G341987-02-09 9:08:37 PMNo155 Lbs5 ft7NoNoNo1Pro & Farm400,000$40,000$294$No
Jason DaweWolves (CHI)RW221999-02-09 9:08:37 PMYes189 Lbs5 ft10NoNoNo1Pro & Farm180,000$18,000$132$No
Jason SmithWolves (CHI)D212000-02-09 9:08:37 PMYes205 Lbs6 ft3NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Jassen CullimoreWolves (CHI)D221999-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm350,000$35,000$257$No350,000$
Jim CareyWolves (CHI)G202001-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo3Pro & Farm500,000$50,000$368$No500,000$500,000$
Juha LindWolves (CHI)LW202001-02-09 9:08:37 PMYes166 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Kay WhitmoreWolves (CHI)G271994-02-09 9:08:37 PMNo175 Lbs5 ft11NoNoNo4Pro & Farm735,000$73,500$540$No735,000$735,000$735,000$
Kevin KaminskiWolves (CHI)C251996-02-09 9:08:37 PMNo170 Lbs5 ft9NoNoNo1Pro & Farm155,000$15,500$114$No
Mike HudsonWolves (CHI)C271994-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm150,000$15,000$110$No150,000$
Mike RathjeWolves (CHI)D202001-02-09 9:08:37 PMYes230 Lbs6 ft5NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Nathan DemspeyWolves (CHI)D202001-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$301$No410,000$410,000$
Nikolai BorschevskyWolves (CHI)RW291992-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo3Pro & Farm750,000$75,000$551$No750,000$750,000$
Pat MacLeodWolves (CHI)D251996-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo2Pro & Farm150,000$15,000$110$No150,000$
Paul DiPietroWolves (CHI)C241997-02-09 9:08:37 PMNo181 Lbs5 ft9NoNoNo2Pro & Farm335,000$33,500$246$No335,000$
Randy BurridgeWolves (CHI)LW281993-02-09 9:08:37 PMNo185 Lbs5 ft9NoNoNo4Pro & Farm650,000$65,000$478$No650,000$650,000$650,000$
Robert KronWolves (CHI)RW271994-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo1Pro & Farm500,000$50,000$368$No
Robert PetrovickyWolves (CHI)C212000-02-09 9:08:37 PMYes176 Lbs5 ft11NoNoNo3Pro & Farm350,000$35,000$257$No350,000$350,000$
Sami HeleniusWolves (CHI)D202001-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm320,000$32,000$235$No320,000$
Sergei BautinWolves (CHI)D271994-02-09 9:08:37 PMYes200 Lbs6 ft3NoNoNo2Pro & Farm250,000$25,000$184$No250,000$
Tommy SoderstromWolves (CHI)G251996-02-09 9:08:37 PMNo162 Lbs5 ft10NoNoNo2Pro & Farm750,000$75,000$551$No750,000$
Tyler WrightWolves (CHI)C212000-02-09 9:08:37 PMYes175 Lbs5 ft11NoNoNo1Pro & Farm200,000$20,000$147$No
Yuri KhmylevWolves (CHI)LW301991-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$257$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3224.47192 Lbs6 ft02.28381,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Yuri KhmylevMike HudsonNikolai Borschevsky30023
2Dave HannanChris GrattonRobert Kron30023
3Randy BurridgeRobert PetrovickyPaul DiPietro30023
4Dean McAmmondKevin KaminskiJason 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 GrattonRobert Kron40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Pat MacLeodMike Rathje60014
2Darius KasparaitisJassen Cullimore40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mike HudsonRobert Kron60050
2Kevin KaminskiDave 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 GrattonNikolai Borschevsky60014
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 HudsonRobert KronCraig LudwigDarius Kasparaitis
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mike Hudson, Chris Gratton, Dave HannanChris Gratton, Mike HudsonMike 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 Rouges105310100353235310010022175522100001315-2120.600356196009380872285719713731272407714019947612.77%44881.82%11358269250.45%1383281049.22%631131348.06%1928128119856571083536
2As826000002330-7413000001112-1413000001218-640.250234366109380872196719713731272337210716545920.00%49785.71%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
3Banshees624000001419-53120000089-131200000610-440.33314264001938087216571971373127176568412923730.43%36586.11%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
4Canadiens5311000020146211000001010032010000104670.70020345400938087212571971373127130365310031722.58%22481.82%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
5Chiefs51300100181803110010013942020000059-430.3001834520193808721237197137312713329498026830.77%21385.71%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
6Citadelles61131000161423011100078-13102000096370.58316254100938087218671971373127144496811329413.79%24579.17%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
7Croque-Morts10351010030291623001001718-1412100001311280.400305181009380872242719713731273009513621043818.60%61886.89%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
8Harvard531100002217521010000128432100000109170.70022365800938087212171971373127166415810719631.58%28678.57%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
9Isotopes54100000181082200000074332100000116580.8001833510093808721597197137312712429408327725.93%20385.00%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
10Pacifiques de la route705110001734-1730201000614-8403100001120-930.21417324900938087219371971373127219596814124312.50%34682.35%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
11Riverman53200000191633210000010912110000097260.6001936550093808721347197137312712144569222522.73%27485.19%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
12Snipers5310010015132320001009452110000069-370.7001526410193808721407197137312713143641043139.68%220100.00%01358269250.45%1383281049.22%631131348.06%1928128119856571083536
13Spoonman's5203000015114210100006333102000098170.7001529440093808721217197137312715950608827725.93%30583.33%11358269250.45%1383281049.22%631131348.06%1928128119856571083536
Total8232331124002622575411715324001381251341151880000124132-8830.506262466728139380872219071971373127227668098316113948020.30%4186484.69%21358269250.45%1383281049.22%631131348.06%1928128119856571083536
_Since Last GM Reset8243330240026225754117153240013812513412618-30000124132-8940.573262466728139380872219071971373127227668098316113948020.30%4186484.69%21358269250.45%1383281049.22%631131348.06%1928128119856571083536
_Vs Conference45192201300139154-15241010013007574121912000006480-16430.47813924938811938087211907197137312712443905719112123416.04%2373386.08%11358269250.45%1383281049.22%631131348.06%1928128119856571083536
_Vs Division281214002008891-3156700200504731367000003844-6260.46488155243109380872723719713731277732443835741352317.04%1542385.06%11358269250.45%1383281049.22%631131348.06%1928128119856571083536

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8283OTW126246672821902276680983161113
Tous les Matchs
GPWLOTWOTL TGFGA
8232332411262257
Matchs locaux
GPWLOTWOTL TGFGA
411715243138125
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411518008124132
Derniers 10 Matchs
WLOTWOTL T
16102
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3948020.30%4186484.69%2
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
719713731279380872
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
1358269250.45%1383281049.22%631131348.06%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1928128119856571083536


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 - 2020-12-17378Wolves4Citadelles1WSommaire du Match
90 - 2020-12-19384Ailes Rouges1Wolves6WSommaire du Match
92 - 2020-12-21392Wolves3Chiefs5LSommaire du Match
94 - 2020-12-23398Banshees1Wolves2WSommaire du Match
97 - 2020-12-26407Wolves2Citadelles2TXSommaire du Match
98 - 2020-12-27411Canadiens5Wolves7WSommaire du Match
100 - 2020-12-29418Wolves2As7LSommaire du Match
101 - 2020-12-30423Wolves3Isotopes1WSommaire du Match
103 - 2021-01-01428Citadelles2Wolves2TXSommaire du Match
104 - 2021-01-02438Wolves0Pacifiques de la route2LSommaire du Match
106 - 2021-01-04443Riverman6Wolves2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07456Isotopes3Wolves4WSommaire du Match
111 - 2021-01-09462Wolves1Snipers5LSommaire du Match
112 - 2021-01-10467Snipers2Wolves5WSommaire du Match
114 - 2021-01-12476Wolves0Isotopes1LSommaire du Match
115 - 2021-01-13481Snipers2Wolves1LXSommaire du Match
116 - 2021-01-14485Wolves4Riverman5LSommaire du Match
118 - 2021-01-16496Wolves5Banshees0WSommaire du Match
119 - 2021-01-17501Riverman1Wolves4WSommaire du Match
120 - 2021-01-18509As4Wolves1LSommaire du Match
121 - 2021-01-19517Wolves0Croque-Morts3LSommaire du Match
123 - 2021-01-21524Canadiens5Wolves3LSommaire du Match
125 - 2021-01-23535Chiefs5Wolves4LSommaire du Match
126 - 2021-01-24539Wolves4Spoonman's4TXSommaire du Match
127 - 2021-01-25547Spoonman's2Wolves5WSommaire du Match
128 - 2021-01-26550Wolves2Pacifiques de la route4LSommaire du Match
130 - 2021-01-28555Wolves1Ailes Rouges5LSommaire du Match
132 - 2021-01-30563Wolves1Ailes Rouges1TXSommaire du Match
134 - 2021-02-01568Citadelles2Wolves3WXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels 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 Coachs
2,167,323$ 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$ 2,167,323$ 32 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 15,962$ 15,962$




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