Wolves

GP: 17 | W: 9 | L: 6 | T: 1 | P: 20
GF: 57 | GA: 54 | PP%: 13.10% | PK%: 86.67%
DG: Eric Pilon | Morale : 51 | Moyenne d'Équipe : 63
Prochain matchs #127 vs Banshees
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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 SP
1Dave Hannan (A)X100.006952727166777863647062816277791556670
2Randy BurridgeX100.005747756870676877757976657246515456670
3Mike Hudson (C)X99.007453736571727074647369786242406056660
4Nikolai BorschevskyX100.005743806969646878677878637040434758660
5Yuri KhmylevX100.005546726973727076677674646846483956660
6Robert KronX100.006244846872687066667173737143426153650
7Kevin Kaminski (A)X100.007872496868686870637269656441457446640
8Chris Gratton (R)X100.007770606574828263757267646735359062640
9Dean McAmmond (R)X100.004941777272646471637168666229299656620
10Anson Carter (R)X100.006753697274666667616968666428329756620
11Tyler Wright (R)X100.007574407168646663586357745428289751600
12Jason Dawe (R)X100.005548726970646565636860695633299556600
13Craig LudwigX100.006347765977747561545841854077761556670
14Darius KasparaitisX100.008376486976666765596842824030339760650
15Jassen Cullimore (R)X100.007058606582686859576648774627279756620
16Sergei Bautin (R)X100.006150686775646270627045734040426153620
17Pat MacLeodX100.005849716872686870627154684844397556620
18Jason Smith (R)X100.005752616577646557546238743631349742600
Rayé
1Paul DiPietroX100.005646717069606068637065676227278338610
2Ed CourtenayX100.005250596676666660546066626234466853590
3Juha Lind (R)X100.005544787067626464636262636027309733590
4Robert Petrovicky (R)X100.004941757168636562606659595728289733580
5Alek StojanovX100.006254656282555652546347674529309833550
6Mike Rathje (R)X89.466461536280707060536241753628329742610
7Ilya Byakin (R)X100.005744737060595573457163616555422033600
8Nathan Demspey (R)X100.006251656773606062586638723627309733590
9Cale Hulse (R)X100.006758646474656658586534723229289733590
10Sami Helenius (R)X100.006452735982555651495635663326299833550
MOYENNE D'ÉQUIPE99.59635367677366666560685770543738764862
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 Soderstrom99.00767669697178858984737635447446710
2Kay Whitmore100.00738177747565738073737159656056700
Rayé
1Jacques Cloutier100.00777165666766708272727364681133680
2Jim Carey (R)100.00697478767573778378727031359733680
3Chris Osgood (R)100.00708275727367727973716842429533670
MOYENNE D'ÉQUIPE99.8073777371727075837672724651674069
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
1Yuri KhmylevWolves (CHI)LW1788167406153642022.22%125915.2423510490000123054.55%2200001.2400000220
2Mike HudsonWolves (CHI)C1758135160264134222414.71%335020.631235630000751048.02%48100000.7400000121
3Darius KasparaitisWolves (CHI)D17211133602067211501213.33%2235721.03112831000057100.00%000000.7300004011
4Kevin KaminskiWolves (CHI)C175611220036212861717.86%120612.170115280000130148.10%23700001.0600000011
5Randy BurridgeWolves (CHI)LW175611-12061746132310.87%329917.6011214560000160044.07%5900100.7400000110
6Robert KronWolves (CHI)RW133710-300513325389.38%123718.2412313460000330152.94%1700000.8400000000
7Jassen CullimoreWolves (CHI)D173710712036122051415.00%2035721.020441166000075000.00%000100.5600000110
8Dave HannanWolves (CHI)LW17371024012264813296.25%736621.5810119640002851044.44%2700000.5500000101
9Pat MacLeodWolves (CHI)D17099-31001919146130.00%1433319.64033961000024000.00%000000.5400000000
10Chris GrattonWolves (CHI)C17718-7241043232791625.93%226015.34213751000001152.55%31400000.6100200011
11Anson CarterWolves (CHI)RW1743776025211631025.00%51508.8800000000010150.36%13700000.9300000110
12Craig LudwigWolves (CHI)D172571401322611133.33%3438022.35000216000077000.00%000000.3700000000
13Dean McAmmondWolves (CHI)LW17246420113308166.67%019611.570001150002220035.29%1700000.6100000001
14Sergei BautinWolves (CHI)D16156-2140231714477.14%1930018.77112540000029000.00%000000.4000000000
15Jason DaweWolves (CHI)RW17325-1207191971215.79%121212.481017570000110038.46%1300100.4700000011
16Mike RathjeWolves (CHI)D121454120231041225.00%1017714.8200003000040000.00%000000.5600000001
17Nikolai BorschevskyWolves (CHI)RW522452028105820.00%18717.4300041900006200.00%000000.9200000100
18Tyler WrightWolves (CHI)C13022-21802319125100.00%218814.47000030000390047.54%6100000.2100000000
19Jason SmithWolves (CHI)D5011300130000.00%37715.460000300009000.00%000000.2600000000
20Ed CourtenayWolves (CHI)RW16101-70063931311.11%01418.8400012000000040.00%500000.1400000000
21Paul DiPietroWolves (CHI)C4000-100001110.00%071.9100000000000050.00%200000.0000000000
22Ilya ByakinWolves (CHI)D1000-320201020.00%11515.700000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne3065798155202143038234342212129813.51%150496416.2211193012168100046369448.92%139200300.62002048118
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)147610.8953.1380601423990000.0000143101
2Kay WhitmoreWolves (CHI)52100.8713.002202011850010.0000314000
Stats d'équipe Total ou en Moyenne199710.8903.10102721534840010.00001717101


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$35,404$No450,000$450,000$
Anson CarterWolves (CHI)RW192001-02-09 9:08:37 PMYes190 Lbs6 ft1NoNoNo3Pro & Farm550,000$55,000$43,272$No550,000$550,000$
Cale HulseWolves (CHI)D202000-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo2Pro & Farm200,000$20,000$15,735$No200,000$
Chris GrattonWolves (CHI)C192001-08-11 9:06:42 AMYes220 Lbs6 ft3NoNoNo3Pro & Farm250,000$25,000$19,669$No250,000$250,000$
Chris OsgoodWolves (CHI)G211999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo2Pro & Farm400,000$40,000$31,471$No400,000$
Craig LudwigWolves (CHI)D321988-02-09 9:08:37 PMNo210 Lbs6 ft3NoNoNo4Pro & Farm618,000$61,800$48,622$No618,000$618,000$618,000$
Darius KasparaitisWolves (CHI)D211999-02-09 9:08:37 PMNo209 Lbs5 ft11NoNoNo3Pro & Farm425,000$42,500$33,438$No425,000$425,000$
Dave HannanWolves (CHI)LW321988-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo1Pro & Farm325,000$32,500$25,570$No
Dean McAmmondWolves (CHI)LW202000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo2Pro & Farm300,000$30,000$23,603$No300,000$
Ed CourtenayWolves (CHI)RW251995-02-09 9:08:37 PMNo200 Lbs6 ft4NoNoNo1Pro & Farm255,000$25,500$20,062$No
Ilya ByakinWolves (CHI)D311989-08-11 9:00:40 AMYes183 Lbs5 ft10NoNoNo3Pro & Farm250,000$25,000$19,669$No250,000$250,000$
Jacques CloutierWolves (CHI)G331987-02-09 9:08:37 PMNo155 Lbs5 ft7NoNoNo1Pro & Farm400,000$40,000$31,471$No
Jason DaweWolves (CHI)RW211999-02-09 9:08:37 PMYes189 Lbs5 ft10NoNoNo1Pro & Farm180,000$18,000$14,162$No
Jason SmithWolves (CHI)D202000-02-09 9:08:37 PMYes205 Lbs6 ft3NoNoNo3Pro & Farm400,000$40,000$31,471$No400,000$400,000$
Jassen CullimoreWolves (CHI)D211999-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm350,000$35,000$27,537$No350,000$
Jim CareyWolves (CHI)G192001-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo3Pro & Farm500,000$50,000$39,338$No500,000$500,000$
Juha LindWolves (CHI)LW192001-02-09 9:08:37 PMYes166 Lbs5 ft11NoNoNo3Pro & Farm450,000$45,000$35,404$No450,000$450,000$
Kay WhitmoreWolves (CHI)G261994-02-09 9:08:37 PMNo175 Lbs5 ft11NoNoNo4Pro & Farm735,000$73,500$57,827$No735,000$735,000$735,000$
Kevin KaminskiWolves (CHI)C241996-02-09 9:08:37 PMNo170 Lbs5 ft9NoNoNo1Pro & Farm155,000$15,500$12,195$No
Mike HudsonWolves (CHI)C261994-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm150,000$15,000$11,801$No150,000$
Mike Rathje (Sur la Masse Salariale)Wolves (CHI)D192001-02-09 9:08:37 PMYes230 Lbs6 ft5NoNoNo3Pro & Farm400,000$40,000$31,471$No400,000$400,000$
Nathan DemspeyWolves (CHI)D192001-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo3Pro & Farm410,000$41,000$32,257$No410,000$410,000$
Nikolai BorschevskyWolves (CHI)RW281992-02-09 9:08:37 PMNo180 Lbs5 ft9NoNoNo3Pro & Farm750,000$75,000$59,007$No750,000$750,000$
Pat MacLeodWolves (CHI)D241996-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo2Pro & Farm150,000$15,000$11,801$No150,000$
Paul DiPietroWolves (CHI)C231997-02-09 9:08:37 PMNo181 Lbs5 ft9NoNoNo2Pro & Farm335,000$33,500$26,357$No335,000$
Randy BurridgeWolves (CHI)LW271993-02-09 9:08:37 PMNo185 Lbs5 ft9NoNoNo4Pro & Farm650,000$65,000$51,140$No650,000$650,000$650,000$
Robert KronWolves (CHI)RW261994-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo1Pro & Farm500,000$50,000$39,338$No
Robert PetrovickyWolves (CHI)C202000-02-09 9:08:37 PMYes176 Lbs5 ft11NoNoNo3Pro & Farm350,000$35,000$27,537$No350,000$350,000$
Sami HeleniusWolves (CHI)D192001-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo2Pro & Farm320,000$32,000$25,176$No320,000$
Sergei BautinWolves (CHI)D261994-02-09 9:08:37 PMYes200 Lbs6 ft3NoNoNo2Pro & Farm250,000$25,000$19,669$No250,000$
Tommy SoderstromWolves (CHI)G241996-02-09 9:08:37 PMNo162 Lbs5 ft10NoNoNo2Pro & Farm750,000$75,000$59,007$No750,000$
Tyler WrightWolves (CHI)C202000-02-09 9:08:37 PMYes175 Lbs5 ft11NoNoNo1Pro & Farm200,000$20,000$15,735$No
Yuri KhmylevWolves (CHI)LW291991-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm350,000$35,000$27,537$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3323.39192 Lbs6 ft02.30386,606$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dave HannanChris GrattonNikolai Borschevsky30023
2Yuri KhmylevMike HudsonAnson Carter30023
3Randy BurridgeKevin KaminskiRobert Kron30122
4Dean McAmmondTyler WrightJason Dawe10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Darius KasparaitisJassen Cullimore40041
2Craig LudwigPat MacLeod35041
3Jason SmithSergei Bautin25041
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
1Jassen CullimorePat MacLeod60014
2Darius KasparaitisKevin Kaminski40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mike HudsonRobert Kron60050
2Tyler WrightDave Hannan40050
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Craig LudwigJassen Cullimore60050
2Darius KasparaitisSergei Bautin40050
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mike Hudson60050Craig LudwigJassen Cullimore60050
2Dave Hannan40050Darius KasparaitisSergei Bautin40050
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 KasparaitisPat MacLeod
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dave HannanMike HudsonRobert KronCraig 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, Tyler Wright
Gardien
#1 : Tommy Soderstrom, #2 : Kay Whitmore


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
Total1796101005754395300100302738431000027270200.58857981551116202104221421451341485150216382841113.10%901286.67%025352248.47%29559649.50%13327448.54%383247419137227113
_Since Last GM Reset17106001005754395300100302738530000027270210.61857981551116202104221421451341485150216382841113.10%901286.67%025352248.47%29559649.50%13327448.54%383247419137227113
_Vs Conference158600100515109530010030273633000002124-3170.5675189140111620210386142145134142713519034073912.33%771087.01%025352248.47%29559649.50%13327448.54%383247419137227113
_Vs Division1375001004543284300100272705320000018162150.5774578123101620210331142145134135811316528561813.11%67888.06%025352248.47%29559649.50%13327448.54%383247419137227113

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1720W3579815542248515021638211
Tous les Matchs
GPWLOTWOTL TGFGA
17960115754
Matchs locaux
GPWLOTWOTL TGFGA
9530103027
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
8430012727
Derniers 10 Matchs
WLOTWOTL T
44011
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
841113.10%901286.67%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
14214513411620210
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
25352248.47%29559649.50%13327448.54%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
383247419137227113


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 - 2020-10-21127Banshees-Wolves-
33 - 2020-10-23131Wolves-Harvard-
35 - 2020-10-25141Pacifiques de la route-Wolves-
37 - 2020-10-27149Wolves-Snipers-
39 - 2020-10-29153Wolves-As-
41 - 2020-10-31160Chiefs-Wolves-
42 - 2020-11-01169Chiefs-Wolves-
44 - 2020-11-03176Wolves-Harvard-
46 - 2020-11-05183Wolves-Canadiens-
47 - 2020-11-06187Wolves-Spoonman's-
48 - 2020-11-07194Isotopes-Wolves-
50 - 2020-11-09203Harvard-Wolves-
52 - 2020-11-11212As-Wolves-
53 - 2020-11-12215Wolves-Spoonman's-
55 - 2020-11-14226Harvard-Wolves-
57 - 2020-11-16232Wolves-Croque-Morts-
58 - 2020-11-17238Wolves-Ailes Rouges-
59 - 2020-11-18244Ailes Rouges-Wolves-
61 - 2020-11-20253As-Wolves-
62 - 2020-11-21257Wolves-Isotopes-
65 - 2020-11-24269Spoonman's-Wolves-
66 - 2020-11-25272Wolves-Chiefs-
67 - 2020-11-26281Wolves-Croque-Morts-
68 - 2020-11-27285Wolves-Riverman-
70 - 2020-11-29292Citadelles-Wolves-
72 - 2020-12-01300Pacifiques de la route-Wolves-
73 - 2020-12-02305Wolves-Pacifiques de la route-
74 - 2020-12-03312Croque-Morts-Wolves-
75 - 2020-12-04323Riverman-Wolves-
77 - 2020-12-06330Wolves-Banshees-
78 - 2020-12-07337Wolves-Canadiens-
79 - 2020-12-08342Banshees-Wolves-
80 - 2020-12-09347Wolves-Banshees-
82 - 2020-12-11354Wolves-Citadelles-
84 - 2020-12-13359Croque-Morts-Wolves-
86 - 2020-12-15369Pacifiques de la route-Wolves-
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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
458,004$ 1,235,800$ 1,235,800$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
1,235,800$ 458,004$ 32 1

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 107 16,072$ 1,719,704$




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
199317961010057543953001003027384310000272702057981551116202104221421451341485150216382841113.10%901286.67%025352248.47%29559649.50%13327448.54%383247419137227113
Total Saison Régulière17961010057543953001003027384310000272702057981551116202104221421451341485150216382841113.10%901286.67%025352248.47%29559649.50%13327448.54%383247419137227113