Wolves

GP: 76 | W: 56 | L: 17 | OTL: 3 | P: 115
GF: 284 | GA: 159 | PP%: 20.84% | PK%: 86.65%
DG: Jean-François Misson | Morale : 98 | Moyenne d'Équipe : 59
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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 RoseX99.00865574797974857273656575556061169680
2Jujhar KhairaX99.00605566737975547775677279556059173670
3Zach Aston-Reese (R)X100.00905585767471697350646866556250190660
4Nikolay KuleminXX100.00775581807968646650616167558482145650
5Connor BrickleyXXX100.00655574667367707256656469557071136640
6Daniel O'ReganX100.00675565726360756750606063557375190620
7Kerby RychelX100.00665558727972826250616260555050184620
8Kalle KossilaX100.00685560736568696574616161555050181610
9Peter CehlarikX100.00605564747971696250616160555050190610
10Samy BlaisX100.00655566706063716950616155555050181600
11Travis BoydX100.00605569726762766171616060555050180600
12Alexander Volkov (R)X100.00735578727862695550555555557274182590
13Danick MartelX100.00555572675859705750565760556674137580
14Michael LattaX100.00575557717569695750565755555758161580
15Jason GarrisonX100.00645565789075846525626064557477155680
16Steven KampferX100.00795572726781596725616071557070113660
17Ashton SautnerX100.00655564647573596125616063555353190610
18Ryan GravesX100.00555556605656775625565656555353174560
19Ryan CulkinX100.00555555605555575525555555555353154540
Rayé
1Tyrell GoulbourneX100.00605569646865656050606060555050135580
2Sam CarrickX100.00595559656864695950585959555050171580
3Anton LanderXX100.0083558067585959555055555555786718570
4Clark Bishop (R)X100.00565566617767665550555555557473120570
5Jimmy LodgeX100.00605567666461695550555558555050112560
6Ryan BourqueX100.00605566606259695550555559555050120550
7Andrej NestrasilX100.00555555555555555550555555557272119540
8Brett Pollock (R)X100.00565555555758585550555555557372119540
9Tom KostopoulosX100.0056555555555555555055555555727213540
10Corey TroppX100.00565555555657575550555555557370120540
11Nathan Walker (R)X100.00565559555460685550555555555050123530
12Teemu PulkkinenX100.00565555555555555550555555555555120530
13Manuel Wiederer (R)X100.00565555555555555550555555555050119520
14Michael Spacek (R)X100.00565555555555555550555555555050119520
15Gavin Bayreuther (R)X100.00595555605555575525555555555353120540
MOYENNE D'ÉQUIPE99.9463556466666466604958596055616014759
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 Korpisalo100.0073786477847468857176557370133730
2Antoine Bibeau100.0059788281626265636762556062171650
Rayé
MOYENNE D'ÉQUIPE100.006678737973686774696955676615269
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
2Zach Aston-ReeseWolves (VGK)C65243963458201101121845311413.04%30103515.94291128961122847156.58%63800011.2211000812
3Jujhar KhairaWolves (VGK)C4431265725335551101925212516.15%2995521.721110215517120261556367.85%62200011.1911001267
4Jason GarrisonWolves (VGK)D671835532690010556110266216.36%53145821.777916662481122250400.00%000000.7300000446
5Peter CehlarikWolves (VGK)RW722225473318054831414210115.60%13126517.58812204530710111245056.45%18600000.7400000155
6Scott LaughtonVegas Golden KnightsC302522472339573971433910417.48%1071823.945914401220007993172.43%60200011.3123001444
7Nikolay KuleminWolves (VGK)LW/RW6420264695951101041554312212.90%9120018.76813215629912382273253.33%15000000.7701001512
8Beau BennettVegas Golden KnightsRW458364421555977612136766.61%683118.475172236188000080144.00%5000001.0600001114
9Samy BlaisWolves (VGK)LW70172744303605281120387014.17%1489512.790002110000787255.56%36000000.9800000260
10Jacob de La RoseWolves (VGK)C31142438156007311515135959.27%3473923.84312153013501141402166.63%84800001.0301000224
11Anthony DeAngeloVegas Golden KnightsD3611243584758760100307411.00%5788724.669817751810111174200.00%000100.7900100152
12Ashton SautnerWolves (VGK)D7072835328951052961294111.48%43136119.45369342100000159100.00%000000.5100100122
13Daniel O'ReganWolves (VGK)C6512162814180235879286115.19%125137.902247360001253059.80%29600001.0900000110
14Chris WidemanVegas Golden KnightsD328202816380695051253715.69%3578924.675510321120221123100.00%000000.7100000221
15Kerby RychelWolves (VGK)LW318172515280533363206012.70%351216.53491315129000021050.00%2000000.9800000202
16Alexander VolkovWolves (VGK)RW6311112215275394268224816.18%785913.65224181660000463061.70%4700000.5101001022
17Travis BoydWolves (VGK)C7071320527526527616559.21%96349.060113220111590159.62%10400000.6300100201
18Slater KoekkoekVegas Golden KnightsD166142011260401149171912.24%1538824.302352461022061200.00%000101.0300000213
19Sam CarrickWolves (VGK)C491081814120182551132819.61%104879.951348470111771153.59%20900010.7400000102
20Phillip Di GiuseppeVegas Golden KnightsLW/RW3051015314036456928607.25%547615.8724613920222582043.48%4600000.6300000111
21Connor BrickleyWolves (VGK)C/LW/RW245914114063340123112.50%635814.9545917114000011177.78%2700000.7800000100
22Tyrell GoulbourneWolves (VGK)LW30491312559163392012.12%32377.92134641000021066.67%1200001.0900100012
23Ryan CulkinWolves (VGK)D3147112022034141411028.57%1668822.22123299101195200.00%000000.3200000121
24Ryan GravesWolves (VGK)D4319106255441916326.25%2155512.91101962000053000.00%000000.3600001020
25Corey TroppWolves (VGK)RW1426828079831325.00%217812.72112130000160044.44%1800000.9000000100
26Curtis LazarVegas Golden KnightsC/LW/RW7167414086235194.35%110715.36044118000020081.82%1100001.3000000001
27Michael LattaWolves (VGK)C40336-460173026112111.54%63779.451347500001540049.52%20800100.3200000101
28Brett PollockWolves (VGK)C112352601030124716.67%324021.860222410000560048.32%29800000.4201000010
29Ryan BourqueWolves (VGK)LW14235-420891971410.53%218513.26112317000000077.78%900000.5400000000
30Pontus AbergVegas Golden KnightsLW123143404122541412.00%213211.02000010000050066.67%900000.6000000000
31Kalle KossilaWolves (VGK)C3103310065153170.00%0943.050114290000100068.33%6000000.6300000000
32Gavin BayreutherWolves (VGK)D7123-314011591511.11%214520.83112617000118000.00%000000.4100000000
33Steven KampferWolves (VGK)D603311802476260.00%813522.57011421000021000.00%000000.4400000000
34Andrej NestrasilWolves (VGK)C62021405931866.67%2549.1600000000080047.83%4600000.7300000000
35Nathan WalkerWolves (VGK)LW4011-355565330.00%17719.49011219000010040.00%500000.2600100000
36Jordan OesterleVegas Golden KnightsD11011-2115951010.00%5282.600000000000000.00%000000.7000010000
37Clark BishopWolves (VGK)C9101-2203330233.33%39610.761012190000270050.00%2200000.2100000000
38Danick MartelWolves (VGK)C1000100010000.00%099.950000000003000.00%100000.0000000000
39Tom KostopoulosWolves (VGK)RW1000-100100000.00%066.17000000000000100.00%100000.0000000000
40Teemu PulkkinenWolves (VGK)LW60003006310040.00%16010.0100000000000050.00%200000.0000000000
Stats d'équipe Total ou en Moyenne129532552384842698460150415822441711168013.31%4962071916.00104169273700337371522482482601462.81%585300360.82412516545557
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)2418600.9081.80139926424590000.0000240212
2Antoine BibeauWolves (VGK)1912200.8942.7197400444170001.00021568021
Stats d'équipe Total ou en Moyenne4330800.9022.17237326868760001.00023968233


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
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
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
Connor BrickleyWolves (VGK)C/LW/RW241992-02-25No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & 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
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
Steven KampferWolves (VGK)D281988-09-23No192 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$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
3623.36192 Lbs6 ft02.31526,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay KuleminJacob de La RoseConnor Brickley40122
2Kerby RychelJujhar KhairaPeter Cehlarik30122
3Samy BlaisZach Aston-ReeseAlexander Volkov20122
4Daniel O'ReganJacob de La Rose10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Jason Garrison30122
3Ashton Sautner20122
4Jason Garrison10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nikolay KuleminJacob de La RoseConnor Brickley60122
2Kerby RychelJujhar KhairaPeter Cehlarik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReeseNikolay Kulemin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jacob de La Rose6012260122
2Jujhar Khaira40122Jason Garrison40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jacob de La RoseJujhar Khaira60122
2Zach Aston-ReeseNikolay Kulemin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Jason Garrison40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminJacob de La RoseConnor Brickley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nikolay KuleminJacob de La RoseConnor Brickley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kalle Kossila, Travis Boyd, Kalle Kossila, Travis Boyd
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ashton Sautner, , Ashton Sautner,
Tirs de Pénalité
Jacob de La Rose, Jujhar Khaira, Zach Aston-Reese, Nikolay Kulemin, Connor Brickley
Gardien
#1 : , #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
1Admirals12730000229254622000021216-4651000001798160.6672949780290959742897437477812627074124205761215.79%53884.91%11551243863.62%1247217357.39%643109558.72%204215101675508862444
2Eagles422000001214-222000000123920200000011-1140.500122133009095974877437477812612743495925520.00%18288.89%01551243863.62%1247217357.39%643109558.72%204215101675508862444
3Griffins871000003815234310000015694400000023914140.8753868106029095974217743747781261744597127461532.61%44686.36%01551243863.62%1247217357.39%643109558.72%204215101675508862444
4IceHogs121020000047232466000000269176420000021147200.83347781250390959743947437477812624763150211641625.00%65789.23%11551243863.62%1247217357.39%643109558.72%204215101675508862444
5Monsters41300000710-32020000036-32110000044020.25071219009095974827437477812610227517113215.38%23578.26%01551243863.62%1247217357.39%643109558.72%204215101675508862444
6Moose8710000050133743100000229134400000028424140.875509014003909597437074374778126154497315951713.73%31680.65%01551243863.62%1247217357.39%643109558.72%204215101675508862444
7Rampage85200010211654220000010100430000101165120.750213556009095974188743747781261606412014745715.56%48687.50%11551243863.62%1247217357.39%643109558.72%204215101675508862444
8Roadrunners431000001376220000009362110000044060.750132235009095974126743747781265922247825416.00%12191.67%01551243863.62%1247217357.39%643109558.72%204215101675508862444
9Stars8420011024186421001001511442100010972110.688243963019095974304743747781261585210016944613.64%45491.11%01551243863.62%1247217357.39%643109558.72%204215101675508862444
Total7654170012228415912538269001021407961382880002014480641150.7572844947780119095974228574374778126167250291013864278920.84%3975386.65%61551243863.62%1247217357.39%643109558.72%204215101675508862444
11Wild88000000431825440000001661044000000271215161.00043801230090959742287437477812622163122160381539.47%58886.21%31551243863.62%1247217357.39%643109558.72%204215101675508862444
_Since Last GM Reset7654170012228415912538269001021407961382880002014480641150.7572844947780119095974228574374778126167250291013864278920.84%3975386.65%61551243863.62%1247217357.39%643109558.72%204215101675508862444
_Vs Conference60431200122214129853021600102106614530226000201086840930.775214370584089095974170774374778126135740476210783387622.49%3314187.61%61551243863.62%1247217357.39%643109558.72%204215101675508862444
_Vs Division4298000121376213500002936216300010440627.750132235009095974126743747781265922247825416.00%12191.67%01551243863.62%1247217357.39%643109558.72%204215101675508862444

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76115L1284494778228516725029101386011
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7654170122284159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38269010214079
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38288002014480
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4278920.84%3975386.65%6
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
743747781269095974
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
1551243863.62%1247217357.39%643109558.72%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
204215101675508862444


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 - 2019-01-20798Wild2Wolves5WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-24814Stars1Wolves3WSommaire du Match
144 - 2019-01-26836Griffins1Wolves4WSommaire du Match
145 - 2019-01-27844Stars4Wolves2LSommaire du Match
147 - 2019-01-29847IceHogs0Wolves4WSommaire du Match
150 - 2019-02-01863Wolves1Stars0WSommaire du Match
151 - 2019-02-02877Wolves2Stars3LSommaire du Match
154 - 2019-02-05888Wolves4Rampage2WSommaire du Match
157 - 2019-02-08906Wolves3Admirals2WSommaire du Match
158 - 2019-02-09918Wild1Wolves4WSommaire du Match
159 - 2019-02-10928Admirals0Wolves2WSommaire du Match
164 - 2019-02-15950Monsters4Wolves2LSommaire du Match
165 - 2019-02-16964Rampage4Wolves3LSommaire du Match
169 - 2019-02-20981Wolves5IceHogs1WSommaire du Match
171 - 2019-02-22990Wolves4Stars3WSommaire du Match
172 - 2019-02-231003Wolves3Rampage2WXXSommaire du Match
175 - 2019-02-261016Wolves2Rampage1WSommaire du Match
178 - 2019-03-011030Wolves6Griffins4WSommaire du Match
179 - 2019-03-021049Admirals1Wolves2WSommaire du Match
180 - 2019-03-031056Wolves3IceHogs2WSommaire du Match
185 - 2019-03-081079Wolves4Admirals3WSommaire du Match
186 - 2019-03-091095Eagles2Wolves5WSommaire du Match
187 - 2019-03-101102Eagles1Wolves7WSommaire du Match
192 - 2019-03-151123Wolves6Wild5WSommaire du Match
193 - 2019-03-161137Moose2Wolves4WSommaire du Match
194 - 2019-03-171148Moose6Wolves4LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
4,447,750$ 189,600$ 122,125$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 178,164$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 29,591$ 0$




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
137654170012228415912538269001021407961382880002014480641152844947780119095974228574374778126167250291013864278920.84%3975386.65%61551243863.62%1247217357.39%643109558.72%204215101675508862444
Total Saison Régulière7654170012228415912538269001021407961382880002014480641152844947780119095974228574374778126167250291013864278920.84%3975386.65%61551243863.62%1247217357.39%643109558.72%204215101675508862444