Wolves

GP: 50 | W: 35 | L: 12 | OTL: 3 | P: 73
GF: 190 | GA: 102 | PP%: 21.93% | PK%: 89.04%
DG: Jean-François Misson | Morale : 79 | Moyenne d'Équipe : 60
Prochain matchs #798 vs Wild
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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
1Jacob de La RoseX100.00865574797974857273656575556061143680
2Jujhar KhairaX100.00605566737975547775677279556059146670
3Phillip Di GiuseppeXX100.00795578817571697350676467556562160660
4Zach Aston-Reese (R)X100.00905585767471697350646866556250184660
5Daniel O'ReganX100.00675565726360756750606063557375183620
6Kalle KossilaX100.00685560736568696574616161555050156610
7Peter CehlarikX100.00605564747971696250616160555050176610
8Kerby RychelX100.00665558727972826250616260555050160610
9Travis BoydX100.00605569726762766171616060555050155600
10Samy BlaisX100.00655566706063716950616155555050156590
11Alexander Volkov (R)X100.00735578727862695550555555557274158590
12Danick MartelX100.00555572675859705750565760556674144580
13Tyrell GoulbourneX100.00605569646865656050606060555050141580
14Sam CarrickX100.00595559656864695950585959555050182580
15Anthony DeAngeloX100.00765585905880798025676072557575163710
16Slater KoekkoekX100.00775574846770667525626673557373136690
17Ashton SautnerX100.00655564647573596125616063555353188610
18Ryan GravesX100.00555556605656775625565656555353173560
19Gavin Bayreuther (R)X100.00595555605555575525555555555353120540
Rayé
1Beau BennettX100.00835578827770786550606060557776171650
2Nikolay KuleminXX100.00775581807968646650616167558482120650
3Michael LattaX100.00575557717569695750565755555758172580
4Anton LanderXX100.0083558067585959555055555555786718570
5Clark Bishop (R)X100.00565566617767665550555555557473126570
6Jimmy LodgeX100.00605567666461695550555558555050112560
7Ryan BourqueX100.00605566606259695550555559555050139550
8Andrej NestrasilX100.00555555555555555550555555557272119540
9Brett Pollock (R)X100.00565555555758585550555555557372119540
10Nathan Walker (R)X100.00565559555460685550555555555050149540
11Tom KostopoulosX100.0056555555555555555055555555727213540
12Corey TroppX100.00565555555657575550555555557370136540
13Manuel Wiederer (R)X100.00565555555555555550555555555050145530
14Teemu PulkkinenX100.00565555555555555550555555555555120530
15Michael Spacek (R)X100.00565555555555555550555555555050119520
16Jason GarrisonX100.00645565789075846525626064557477132670
17Ryan CulkinX100.00555555605555575525555555555353159540
MOYENNE D'ÉQUIPE100.0065556568666467614859596055616114659
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
1Joonas Korpisalo100.0073786477847468857176557370125730
2Antoine Bibeau100.0059788281626265636762556062151650
Rayé
MOYENNE D'ÉQUIPE100.006678737973686774696955676613869
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy57655869764966CAN5255,551,000$


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'ÉquipePOS GP 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
1Derek GrantVegas Golden KnightsC3730366628260621211895013115.87%1893525.281310234716301181453073.04%94600021.4103000852
2Scott LaughtonVegas Golden KnightsC302522472339573971433910417.48%1071823.945914401220007993172.43%60200011.3123001444
3Beau BennettWolves (VGK)RW447364319535957611836735.93%681018.435172235183000060043.75%4800001.0600001104
4Zach Aston-ReeseWolves (VGK)C3912263827460744593306012.90%2264716.61291128950000153159.91%23200001.1700000312
5Jason GarrisonWolves (VGK)D4214223613460533777174518.18%3699023.596713531911122202300.00%000000.7300000235
6Nikolay KuleminWolves (VGK)LW/RW391221336380847586246913.95%374919.21210122817902251571150.00%12000000.8801000402
7Anthony DeAngeloWolves (VGK)D351022325455835999297410.10%5786324.668816741780001165200.00%000100.7400100142
8Ashton SautnerWolves (VGK)D446232930615752252263611.54%33107124.35369301890000128100.00%000000.5400100122
9Peter CehlarikWolves (VGK)RW461412262680324580205617.50%583718.2146102419410111244057.05%15600000.6200000124
10Jujhar KhairaWolves (VGK)C1814122614120242871184119.72%938021.1144821600001234072.79%13600011.3700000122
11Samy BlaisWolves (VGK)LW4413122513300405477214016.88%958113.220002110000786154.84%34100000.8600000250
12Chris WidemanVegas Golden KnightsD267172416360604242212616.67%2964524.844372886022198100.00%000000.7400000211
13Daniel O'ReganWolves (VGK)C399101910140194559204415.25%1039710.202247360001252060.30%19900000.9600000110
14Travis BoydWolves (VGK)C4471219527526517216549.72%961213.930001100111570161.00%10000000.6200100201
15Sam CarrickWolves (VGK)C431081813120162550132820.00%1045410.581348430111611153.37%19300010.7900000102
16Phillip Di GiuseppeWolves (VGK)LW/RW295813312035446627567.58%445515.6923512880111522039.53%4300000.5700000111
17Tyrell GoulbourneWolves (VGK)LW23391211559142882010.71%22089.07134641000020070.00%1000001.1500100011
18Ryan CulkinWolves (VGK)D3047112018034141411028.57%1667322.43123298101194200.00%000000.3300000121
19Alexander VolkovWolves (VGK)RW3755102195212041102912.20%253014.35224171530000461057.14%2800000.3801001012
20Ryan GravesWolves (VGK)D4119105255441914327.14%1952312.77101757000048000.00%000000.3800001020
21Corey TroppWolves (VGK)RW1426828079831325.00%217812.72112130000160044.44%1800000.9000000100
22Jacob de La RoseWolves (VGK)C544851209193872110.53%312024.192139220002171076.52%13200001.3200000001
23Curtis LazarVegas Golden KnightsC/LW/RW7167414086235194.35%110715.36044118000020081.82%1100001.3000000001
24Michael LattaWolves (VGK)C40336-460173026112111.54%63779.451347500001540049.52%20800100.3200000101
25Slater KoekkoekWolves (VGK)D50666409523830.00%211823.73011720000016000.00%000001.0100000001
26Brett PollockWolves (VGK)C112352601030124716.67%324021.860222410000560048.32%29800000.4201000010
27Ryan BourqueWolves (VGK)LW14235-420891971410.53%218513.26112317000000077.78%900000.5400000000
28Kerby RychelWolves (VGK)LW531478055106830.00%08416.81101116000020033.33%300000.9500000000
29Pontus AbergVegas Golden KnightsLW123143404122541412.00%213211.02000010000050066.67%900000.6000000000
30Gavin BayreutherWolves (VGK)D7123-314011591511.11%214520.83112617000118000.00%000000.4100000000
31Andrej NestrasilWolves (VGK)C62021405931866.67%2549.1600000000080047.83%4600000.7300000000
32Nathan WalkerWolves (VGK)LW4011-355565330.00%17719.49011219000010040.00%500000.2600100000
33Jordan OesterleVegas Golden KnightsD11011-2115951010.00%5282.600000000000000.00%000000.7000010000
34Clark BishopWolves (VGK)C9101-2203330233.33%39610.761012190000270050.00%2200000.2100000000
35Kalle KossilaWolves (VGK)C5000100312040.00%0285.6100006000040064.29%1400000.0000000000
36Tom KostopoulosWolves (VGK)RW1000-100100000.00%066.17000000000000100.00%100000.0000000000
37Teemu PulkkinenWolves (VGK)LW60003006310040.00%16010.0100000000000050.00%200000.0000000000
38Steven KampferVegas Golden KnightsD1000000410010.00%12222.550000200003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne89323236659830467250108310911688489114613.74%3451515416.97741191935112453391235186840662.84%393200250.7929514383842
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
1Joonas KorpisaloWolves (VGK)139400.8882.1174023262320000.0000130010
2Antoine BibeauWolves (VGK)40000.9192.63114005620000.0000042000
Stats d'équipe Total ou en Moyenne179400.8952.1885423312940000.00001342010


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alexander VolkovWolves (VGK)RW191997-08-02Yes192 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Andrej NestrasilWolves (VGK)C251991-02-21No200 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Anthony DeAngeloWolves (VGK)D211995-10-24No175 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No
Antoine BibeauWolves (VGK)G221994-04-30No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Anton LanderWolves (VGK)C/LW251991-04-23No186 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Ashton SautnerWolves (VGK)D221994-05-27No194 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Beau BennettWolves (VGK)RW251991-11-26No195 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No
Brett PollockWolves (VGK)C201996-03-17Yes194 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Clark BishopWolves (VGK)C201996-03-28Yes194 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Corey TroppWolves (VGK)RW271989-07-25No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Danick MartelWolves (VGK)C221994-12-12No161 Lbs5 ft8NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Daniel O'ReganWolves (VGK)C221994-01-30No175 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Gavin BayreutherWolves (VGK)D221994-05-12Yes194 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Jacob de La RoseWolves (VGK)C211995-05-20No207 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$No
Jason GarrisonWolves (VGK)D321984-11-13No222 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm2,500,000$0$0$No
Jimmy LodgeWolves (VGK)C211995-03-05No166 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm805,000$0$0$No
Joonas KorpisaloWolves (VGK)G221994-04-28No185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm990,000$0$0$No
Jujhar KhairaWolves (VGK)C221994-08-13No214 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Kalle KossilaWolves (VGK)C231993-04-14No175 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Kerby RychelWolves (VGK)LW221994-10-07No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Manuel WiedererWolves (VGK)C201996-11-21Yes174 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Michael LattaWolves (VGK)C251991-05-24No209 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Michael SpacekWolves (VGK)C191997-04-09Yes187 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Nathan WalkerWolves (VGK)LW221994-02-06Yes186 Lbs5 ft8NoNoNo1Contrat d'EntréePro & Farm500,000$0$0$No
Nikolay KuleminWolves (VGK)LW/RW301986-07-13No225 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm2,500,000$0$0$No
Peter CehlarikWolves (VGK)RW211995-08-02No202 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Phillip Di GiuseppeWolves (VGK)LW/RW231993-10-09No200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Ryan BourqueWolves (VGK)LW261991-01-02No170 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Ryan CulkinWolves (VGK)D231993-12-14No201 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan GravesWolves (VGK)D211995-05-21No220 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$No
Sam CarrickWolves (VGK)C241992-02-03No188 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Samy BlaisWolves (VGK)LW201996-06-16No164 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Slater KoekkoekWolves (VGK)D221994-02-17No184 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Teemu PulkkinenWolves (VGK)LW251992-01-01No183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Tom KostopoulosWolves (VGK)RW371979-01-23No197 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
Travis BoydWolves (VGK)C231993-09-14No185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Tyrell GoulbourneWolves (VGK)LW221994-01-26No195 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No
Zach Aston-ReeseWolves (VGK)C221994-08-10Yes205 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3823.16192 Lbs6 ft02.39530,526$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Phillip Di GiuseppeJacob de La RosePeter Cehlarik40122
2Kerby RychelJujhar KhairaAlexander Volkov30122
3Samy BlaisZach Aston-ReeseJacob de La Rose20122
4Tyrell GoulbourneDaniel O'ReganJujhar Khaira10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloSlater Koekkoek40122
2Ashton Sautner30122
3Ryan GravesAnthony DeAngelo20122
4Slater Koekkoek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Phillip Di GiuseppeJacob de La RosePeter Cehlarik60122
2Kerby RychelJujhar KhairaAlexander Volkov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloSlater Koekkoek60122
2Ashton Sautner40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReesePhillip Di Giuseppe40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloSlater Koekkoek60122
2Ashton Sautner40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jacob de La Rose60122Anthony DeAngeloSlater Koekkoek60122
2Jujhar Khaira40122Ashton Sautner40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReesePhillip Di Giuseppe40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloSlater Koekkoek60122
2Ashton Sautner40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phillip Di GiuseppeJacob de La RosePeter CehlarikAnthony DeAngeloSlater Koekkoek
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Phillip Di GiuseppeJacob de La RosePeter CehlarikAnthony DeAngeloSlater Koekkoek
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kalle Kossila, Travis Boyd, Kalle Kossila, Travis Boyd
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Graves, Ashton Sautner, Anthony DeAngeloRyan GravesAshton Sautner, Anthony DeAngelo
Tirs de Pénalité
Jacob de La Rose, Jujhar Khaira, Zach Aston-Reese, Phillip Di Giuseppe, Daniel O'Regan
Gardien
#1 : Joonas Korpisalo, #2 : Antoine Bibeau


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
1Admirals833000021819-140200002815-743100000104680.50018314901675765219950250550322164516812953713.21%25484.00%1996156963.48%799141556.47%41270958.11%13449941095336574297
2Eagles20200000011-110000000000020200000011-1100.000000006757652295025055032293301921800.00%60100.00%0996156963.48%799141556.47%41270958.11%13449941095336574297
3Griffins651000002810183210000011563300000017512100.83328517902675765216050250550322133386889281035.71%32487.50%0996156963.48%799141556.47%41270958.11%13449941095336574297
4IceHogs9720000035201555000000229134220000013112140.7783558930267576522765025055032218948111163521325.00%49687.76%0996156963.48%799141556.47%41270958.11%13449941095336574297
5Monsters3120000056-11010000012-12110000044020.333591400675765257502505503226119355610110.00%15193.33%0996156963.48%799141556.47%41270958.11%13449941095336574297
6Moose660000004253722000000141134400000028424121.000427711903675765231250250550322109355712329620.69%24291.67%0996156963.48%799141556.47%41270958.11%13449941095336574297
7Rampage43100000972321000007611100000021160.7509162500675765293502505503229032597822313.64%26292.31%1996156963.48%799141556.47%41270958.11%13449941095336574297
8Roadrunners431000001376220000009362110000044060.750132235006757652126502505503225922247825416.00%12191.67%0996156963.48%799141556.47%41270958.11%13449941095336574297
9Stars3100011012752100010010641000001021150.833121931006757652128502505503226016365618422.22%14285.71%0996156963.48%799141556.47%41270958.11%13449941095336574297
Total5034120011219010288241650010289503926187000101015249730.73019033552508675765215235025055032210763245338992695921.93%2282589.04%2996156963.48%799141556.47%41270958.11%13449941095336574297
11Wild55000000281018220000007343300000021714101.000285280006757652143502505503221183356106241145.83%25388.00%0996156963.48%799141556.47%41270958.11%13449941095336574297
_Since Last GM Reset5034120011219010288241650010289503926187000101015249730.73019033552508675765215235025055032210763245338992695921.93%2282589.04%2996156963.48%799141556.47%41270958.11%13449941095336574297
_Vs Conference3724900112130844619124001026544211812500010654025530.7161302273570567576521028502505503228472484176422054823.41%1772188.14%2996156963.48%799141556.47%41270958.11%13449941095336574297
_Vs Division41870000213762940000293629300000440384.750132235006757652126502505503225922247825416.00%12191.67%0996156963.48%799141556.47%41270958.11%13449941095336574297

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5073W51903355251523107632453389908
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5034120112190102
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2416501028950
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
26187001010152
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2695921.93%2282589.04%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
502505503226757652
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
996156963.48%799141556.47%41270958.11%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13449941095336574297


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
3 - 2018-09-077Wolves0Eagles6LSommaire du Match
4 - 2018-09-0821Wolves0Eagles5LSommaire du Match
11 - 2018-09-1553Griffins4Wolves2LSommaire du Match
12 - 2018-09-1661Admirals6Wolves2LSommaire du Match
18 - 2018-09-2287Wolves7Griffins2WSommaire du Match
19 - 2018-09-2398Admirals2Wolves1LXXSommaire du Match
22 - 2018-09-26102Monsters2Wolves1LSommaire du Match
24 - 2018-09-28113Wolves2Stars1WXXSommaire du Match
26 - 2018-09-30133Wolves2Rampage1WSommaire du Match
31 - 2018-10-05148Wolves8Moose1WSommaire du Match
32 - 2018-10-06158Wolves7Moose0WSommaire du Match
36 - 2018-10-10174Wolves3Admirals0WSommaire du Match
39 - 2018-10-13200IceHogs2Wolves5WSommaire du Match
40 - 2018-10-14207Admirals3Wolves2LXXSommaire du Match
46 - 2018-10-20246Wild1Wolves3WSommaire du Match
47 - 2018-10-21251Moose1Wolves7WSommaire du Match
52 - 2018-10-26272Wolves4IceHogs1WSommaire du Match
53 - 2018-10-27286Griffins1Wolves7WSommaire du Match
54 - 2018-10-28294IceHogs0Wolves2WSommaire du Match
57 - 2018-10-31302Wolves6Griffins0WSommaire du Match
60 - 2018-11-03328Rampage2Wolves3WSommaire du Match
61 - 2018-11-04336Stars2Wolves7WSommaire du Match
64 - 2018-11-07346Wolves8Wild1WSommaire du Match
66 - 2018-11-09358Wolves7Wild4WSommaire du Match
67 - 2018-11-10367Wolves5IceHogs0WSommaire du Match
74 - 2018-11-17411Roadrunners1Wolves3WSommaire du Match
75 - 2018-11-18419Roadrunners2Wolves6WSommaire du Match
77 - 2018-11-20422Stars4Wolves3LXSommaire du Match
80 - 2018-11-23443IceHogs1Wolves5WSommaire du Match
81 - 2018-11-24452Wolves3Admirals2WSommaire du Match
85 - 2018-11-28469Wolves0Admirals1LSommaire du Match
87 - 2018-11-30483Wolves1IceHogs3LSommaire du Match
88 - 2018-12-01495IceHogs3Wolves5WSommaire du Match
90 - 2018-12-03505Wolves6Wild2WSommaire du Match
92 - 2018-12-05514Wild2Wolves4WSommaire du Match
94 - 2018-12-07525Rampage1Wolves3WSommaire du Match
95 - 2018-12-08540Rampage3Wolves1LSommaire du Match
101 - 2018-12-14571Wolves3Roadrunners2WSommaire du Match
102 - 2018-12-15586Wolves1Roadrunners2LSommaire du Match
106 - 2018-12-19601Griffins0Wolves2WSommaire du Match
109 - 2018-12-22627IceHogs3Wolves5WSommaire du Match
110 - 2018-12-23635Admirals4Wolves3LSommaire du Match
114 - 2018-12-27653Wolves1Monsters2LSommaire du Match
116 - 2018-12-29675Wolves3Monsters2WSommaire du Match
122 - 2019-01-04691Wolves3IceHogs7LSommaire du Match
123 - 2019-01-05707Moose0Wolves7WSommaire du Match
130 - 2019-01-12734Wolves4Admirals1WSommaire du Match
131 - 2019-01-13754Wolves4Griffins3WSommaire du Match
134 - 2019-01-16766Wolves6Moose3WSommaire du Match
136 - 2019-01-18776Wolves7Moose0WSommaire du Match
138 - 2019-01-20798Wild-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24814Stars-Wolves-
144 - 2019-01-26836Griffins-Wolves-
145 - 2019-01-27844Stars-Wolves-
147 - 2019-01-29847IceHogs-Wolves-
150 - 2019-02-01863Wolves-Stars-
151 - 2019-02-02877Wolves-Stars-
154 - 2019-02-05888Wolves-Rampage-
157 - 2019-02-08906Wolves-Admirals-
158 - 2019-02-09918Wild-Wolves-
159 - 2019-02-10928Admirals-Wolves-
164 - 2019-02-15950Monsters-Wolves-
165 - 2019-02-16964Rampage-Wolves-
169 - 2019-02-20981Wolves-IceHogs-
171 - 2019-02-22990Wolves-Stars-
172 - 2019-02-231003Wolves-Rampage-
175 - 2019-02-261016Wolves-Rampage-
178 - 2019-03-011030Wolves-Griffins-
179 - 2019-03-021049Admirals-Wolves-
180 - 2019-03-031056Wolves-IceHogs-
185 - 2019-03-081079Wolves-Admirals-
186 - 2019-03-091095Eagles-Wolves-
187 - 2019-03-101102Eagles-Wolves-
192 - 2019-03-151123Wolves-Wild-
193 - 2019-03-161137Moose-Wolves-
194 - 2019-03-171148Moose-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
2,760,279$ 201,600$ 128,375$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 121,750$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 29,653$ 1,690,221$




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
1350341200112190102882416500102895039261870001010152497319033552508675765215235025055032210763245338992695921.93%2282589.04%2996156963.48%799141556.47%41270958.11%13449941095336574297
Total Saison Régulière50341200112190102882416500102895039261870001010152497319033552508675765215235025055032210763245338992695921.93%2282589.04%2996156963.48%799141556.47%41270958.11%13449941095336574297