Wolves

GP: 43 | W: 26 | L: 10 | OTL: 7 | P: 59
GF: 144 | GA: 92 | PP%: 23.16% | PK%: 87.79%
DG: Jean-François Misson | Morale : 59 | Moyenne d'Équipe : 63
Prochain matchs #675 vs Monsters
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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
1Peter CehlarikXX100.005836916581826863606162645967656240620
2Alexander VolkovXX100.006139836276949561635958605963626372620
3Alex Barre-BouletX100.005336926555949564676164546463626369620
4Travis BoydXX100.005336926269757661736658646171674769620
5Sam CarrickX100.006439836375807162696162586372675366620
6Dylan SikuraX100.005335946466797063546859626367645673620
7Joel L'EsperanceX100.006637896282826861645666596167645269620
8Morgan Geekie (R)X100.006536916082949358645956615861636469620
9Connor BrickleyXXX100.007842866175786859536156625873676137610
10Brett Seney (R)XX100.006348716662736964736862566165636455610
11Curtis LazarXXX100.008137846275766961726056635867648169610
12Kalle KossilaXX100.005236916067786559695860665771675151600
13Niklas KronwallX100.007340806573859264307658695288783370690
14Tony DeAngeloX100.006961697168857469307861645367648158660
15Gavin BayreutherX100.005937886476886863306662645869655269640
16Brian LashoffX100.006236905987836858306053654577694629630
17Steven KampferX100.006940815972776958305756684679715263630
18Oliver KylingtonX100.005537886571766264306866625863647160620
19Ashton SautnerX100.006537895976796357305854594669655169610
20Radim SimekX100.006437935972785458306452644973683759610
21Mitch ReinkeX100.005336925969959658306053544765636269610
Rayé
1Brett PollockXXX100.006536905581908554525651585365636220590
2Michael SpacekX100.005237895960949558666054535663627120590
3Kerby RychelX100.006036925980796958545657595869657829590
4Clark BishopX100.007039825877756457635656595365635720580
5Danny O'ReganX100.005236925966837158635756585469655520580
6Igor Shvyrev (R)X100.006337895677918655625352545361636420580
7Manuel WiedererXX100.005637895772837756575455545665636220570
8Tyrell GoulbourneXX100.006439815571777054535554565269656320570
MOYENNE D'ÉQUIPE100.00623887617383756052615860566865595061
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
1Collin Delia100.00808078827978807978807969734757760
2Shane Starrett100.00797876867877797877797869735165760
Rayé
1Antti Niemi100.00777270827675777675777686902467750
2Joonas Korpisalo100.00777876807675777675777669736520730
MOYENNE D'ÉQUIPE100.0078777583777678777678777377475275
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy73717270827769CAN5345,551,000$


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'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
1Dylan SikuraWolves (VGK)RW41183553182004163153419111.76%878219.0861319351580110404165.96%9400001.3523000354
2Travis BoydWolves (VGK)C/RW43162844142002692111349914.41%1598923.02810182313001101796063.14%56700000.8923000243
3Alex Barre-BouletWolves (VGK)C43152540161403996132359511.36%1295022.10411152614120291234159.24%78500000.8403000245
4Alexander VolkovWolves (VGK)LW/RW43211738224758043127246916.54%588020.474610261450001733252.27%8800110.8611100532
5Gavin BayreutherWolves (VGK)D431027379200284485346111.76%40101423.597714581530111180100.00%000000.7300000125
6Niklas KronwallWolves (VGK)D42619254655106607317378.22%4098923.575611571680111143100.00%000000.5100000311
7Oliver KylingtonWolves (VGK)D43717241415243444132515.91%2960814.152461552011050100.00%000000.7900010024
8Steven KampferWolves (VGK)D435192420481066245221549.62%4684019.544610341400001146100.00%000000.5700020120
9Tony DeAngeloWolves (VGK)D256172326220523151171711.76%2857222.89391235930111111000.00%000000.8000211112
10Sam CarrickWolves (VGK)C43111021-23756973103277710.68%371616.66134197300021241059.08%69900000.5911010031
11Curtis LazarWolves (VGK)C/LW/RW43513181062073317422666.76%558113.53044153000050159.38%3200000.6200000020
12Radim SimekWolves (VGK)D39116179220241796911.11%123749.6000000011016100.00%000000.9100000002
13Kalle KossilaWolves (VGK)C/LW2468145100232349123812.24%534914.54112851000071071.43%2100000.8000000201
14Peter CehlarikWolves (VGK)LW/RW2595143100162459194615.25%445918.3922420860002631045.95%3700010.6101000101
15Brian LashoffWolves (VGK)D261131412402216345232.94%2449318.991782577000097000.00%000000.5700000110
16Connor BrickleyWolves (VGK)C/LW/RW2764106295322355102110.91%442215.651124240000340049.15%5900000.4700100100
17Joel L'EsperanceWolves (VGK)C4355101210019446127428.20%753612.470001160110601061.91%49100000.3702000001
18Morgan GeekieWolves (VGK)C43371066014264414316.82%33257.560001130000331059.50%24200000.6101000000
19Ashton SautnerWolves (VGK)D4309981603311124120.00%203458.0300001000038000.00%000000.5200000000
20Brett SeneyWolves (VGK)C/LW4534734026253911147.69%22064.59000000000130069.72%10900000.6800000010
21Mitch ReinkeWolves (VGK)D431568140191417645.88%1847511.07022548101155000.00%000000.2500000000
22Chris WidemanVegas Golden KnightsD14055214016117290.00%1020214.470001600003000.00%000000.4900000000
23Kerby RychelWolves (VGK)LW71233601316546.25%1679.610000000000100.00%200000.8900000000
24Brett PollockWolves (VGK)C/LW/RW2000-100016310.00%23216.45000240000000100.00%100000.0000000000
25Michael SpacekWolves (VGK)C5000100000100.00%040.880000100000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne83815631046619158155849829141341094511.04%3431322215.7849921413961644381119160328560.40%322700120.70615451233132
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
1Antti NiemiWolves (VGK)38251030.9281.54226529588030010.91724380850
2Collin DeliaWolves (VGK)2513750.9081.94151821495350000.45511250212
3Shane StarrettWolves (VGK)44000.9740.50240022770000.0000425100
Stats d'équipe Total ou en Moyenne67421780.9231.63402441210914150010.7713567251162


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
Alex Barre-BouletWolves (VGK)C221997-05-21No170 Lbs5 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Alexander VolkovWolves (VGK)LW/RW211997-08-02No192 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Antti NiemiWolves (VGK)G351983-08-29No209 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$0$0$NoLien
Ashton SautnerWolves (VGK)D251994-05-27No195 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Brett PollockWolves (VGK)C/LW/RW231996-03-17No190 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Brett SeneyWolves (VGK)C/LW231996-02-28Yes156 Lbs5 ft9NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Brian LashoffWolves (VGK)D281990-07-16No219 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Clark BishopWolves (VGK)C231996-03-29No199 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Collin DeliaWolves (VGK)G251994-06-20No208 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Connor BrickleyWolves (VGK)C/LW/RW271992-02-25No203 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Curtis LazarWolves (VGK)C/LW/RW241995-02-02No205 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Danny O'ReganWolves (VGK)C251994-01-30No180 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dylan SikuraWolves (VGK)RW241995-06-01No166 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Gavin BayreutherWolves (VGK)D251994-05-12No195 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Igor ShvyrevWolves (VGK)C201998-07-10Yes200 Lbs6 ft1NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Joel L'EsperanceWolves (VGK)C231995-08-18No210 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Joonas KorpisaloWolves (VGK)G251994-04-28No182 Lbs6 ft3NoNoNo3Pro & Farm990,000$0$0$No990,000$990,000$Lien
Kalle KossilaWolves (VGK)C/LW261993-04-14No185 Lbs5 ft10NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Kerby RychelWolves (VGK)LW241994-10-07No213 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Manuel WiedererWolves (VGK)C/RW221996-11-21No175 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Michael SpacekWolves (VGK)C221997-04-09No187 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Mitch ReinkeWolves (VGK)D231996-02-04No181 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Morgan GeekieWolves (VGK)C201998-07-20Yes192 Lbs6 ft3NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$Lien
Niklas KronwallWolves (VGK)D381981-01-12No194 Lbs6 ft0NoNoNo1Pro & Farm2,496,000$0$0$NoLien
Oliver KylingtonWolves (VGK)D221997-05-19No183 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Peter CehlarikWolves (VGK)LW/RW231995-08-02No202 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Radim SimekWolves (VGK)D261992-09-20No200 Lbs5 ft11NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Sam CarrickWolves (VGK)C271992-02-04No204 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$NoLien
Shane StarrettWolves (VGK)G241994-07-12No181 Lbs6 ft5NoNoNo4Pro & Farm300,000$0$0$No300,000$300,000$300,000$Lien
Steven KampferWolves (VGK)D301988-09-24No198 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Tony DeAngeloWolves (VGK)D231995-10-24No180 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$NoLien
Travis BoydWolves (VGK)C/RW251993-09-14No185 Lbs5 ft11NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Tyrell GoulbourneWolves (VGK)LW/RW251994-01-26No195 Lbs5 ft11NoNoNo1Pro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3324.79192 Lbs6 ft02.58499,576$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander VolkovTravis BoydDylan Sikura40122
2Peter CehlarikJoel L'EsperanceConnor Brickley30122
3Brett SeneyMorgan GeekieCurtis Lazar20122
4Kalle KossilaAlex Barre-BouletTravis Boyd10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallTony DeAngelo40122
2Gavin BayreutherSteven Kampfer30122
3Brian LashoffOliver Kylington20122
4Ashton SautnerRadim Simek10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander VolkovTravis BoydDylan Sikura60122
2Peter CehlarikJoel L'EsperanceConnor Brickley40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallTony DeAngelo60122
2Gavin BayreutherSteven Kampfer40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydJoel L'Esperance60122
2Morgan GeekieAlexander Volkov40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallTony DeAngelo60122
2Gavin BayreutherSteven Kampfer40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Travis Boyd60122Niklas KronwallTony DeAngelo60122
2Joel L'Esperance40122Gavin BayreutherSteven Kampfer40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Travis BoydJoel L'Esperance60122
2Morgan GeekieAlexander Volkov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Niklas KronwallTony DeAngelo60122
2Gavin BayreutherSteven Kampfer40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander VolkovTravis BoydDylan SikuraNiklas KronwallTony DeAngelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Alexander VolkovTravis BoydDylan SikuraNiklas KronwallTony DeAngelo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sam Carrick, Alex Barre-Boulet, Brett SeneySam Carrick, Alex Barre-BouletBrett Seney
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mitch Reinke, Brian Lashoff, Oliver KylingtonMitch ReinkeBrian Lashoff, Oliver Kylington
Tirs de Pénalité
Travis Boyd, Joel L'Esperance, Morgan Geekie, Alexander Volkov, Dylan Sikura
Gardien
#1 : Collin Delia, #2 : Shane Starrett


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
1Admirals74101001241864200100113103321000001183110.78624446801583747616241840141233158467211728828.57%35294.29%0813131861.68%677114159.33%35661757.70%1206884890295515273
2Eagles22000000817000000000002200000081741.000815230158374767641840141233351020359444.44%80100.00%0813131861.68%677114159.33%35661757.70%1206884890295515273
3Griffins52100200191543200010013672010010069-360.6001937560158374761184184014123310046606113646.15%29582.76%1813131861.68%677114159.33%35661757.70%1206884890295515273
4IceHogs8710000047133454100000297223300000018612140.8754788135005837476310418401412331664673157291137.93%34488.24%2813131861.68%677114159.33%35661757.70%1206884890295515273
5Monsters21000001431110000002021000000123-130.7504812015837476534184014123349914317114.29%60100.00%0813131861.68%677114159.33%35661757.70%1206884890295515273
6Moose330000001394110000005412200000085361.00013243700583747611041840141233582233651400.00%9366.67%0813131861.68%677114159.33%35661757.70%1206884890295515273
7Rampage421001001082320001009631010000012-150.625101727005837476106418401412337732636319421.05%21195.24%0813131861.68%677114159.33%35661757.70%1206884890295515273
8Roadrunners40301000510-52010100034-12020000026-420.25051015005837476954184014123310340735618211.11%26580.77%0813131861.68%677114159.33%35661757.70%1206884890295515273
9Stars3110010045-12010010024-21100000021130.50048120058374766841840141233652548642229.09%19289.47%0813131861.68%677114159.33%35661757.70%1206884890295515273
Total43241002403144925223134023017943362011600102654916590.6861442714150458374761251418401412339153005107281904423.16%2132687.79%3813131861.68%677114159.33%35661757.70%1206884890295515273
11Wild5220000110100211000003213110000178-150.5001020300058374761534184014123310424547931619.35%26484.62%0813131861.68%677114159.33%35661757.70%1206884890295515273
_Since Last GM Reset43241002403144925223134023017943362011600102654916590.6861442714150458374761251418401412339153005107281904423.16%2132687.79%3813131861.68%677114159.33%35661757.70%1206884890295515273
_Vs Conference342070140212270521911301301693534159400101533518480.706122229351035837476993418401412337052293905761514127.15%1721889.53%3813131861.68%677114159.33%35661757.70%1206884890295515273
_Vs Division415401301510-521010120134-12530010026-4364.50051015005837476954184014123310340735618211.11%26580.77%0813131861.68%677114159.33%35661757.70%1206884890295515273

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4359SOL1144271415125191530051072804
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
432410240314492
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2313423017943
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
2011601026549
Derniers 10 Matchs
WLOTWOTL SOWSOL
540001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1904423.16%2132687.79%3
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
418401412335837476
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
813131861.68%677114159.33%35661757.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1206884890295515273


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 - 2019-09-047Wolves3Eagles0WSommaire du Match
4 - 2019-09-0521Wolves5Eagles1WSommaire du Match
11 - 2019-09-1253Griffins0Wolves5WSommaire du Match
12 - 2019-09-1361Admirals1Wolves2WSommaire du Match
18 - 2019-09-1987Wolves3Griffins5LSommaire du Match
19 - 2019-09-2098Admirals5Wolves6WXSommaire du Match
22 - 2019-09-23102Monsters0Wolves2WSommaire du Match
24 - 2019-09-25113Wolves2Stars1WSommaire du Match
26 - 2019-09-27133Wolves1Rampage2LSommaire du Match
31 - 2019-10-02148Wolves2Moose1WSommaire du Match
32 - 2019-10-03158Wolves6Moose4WSommaire du Match
36 - 2019-10-07174Wolves2Admirals4LSommaire du Match
39 - 2019-10-10200IceHogs1Wolves7WSommaire du Match
40 - 2019-10-11207Admirals4Wolves3LXXSommaire du Match
46 - 2019-10-17246Wild1Wolves3WSommaire du Match
47 - 2019-10-18251Moose4Wolves5WSommaire du Match
52 - 2019-10-23272Wolves5IceHogs3WSommaire du Match
53 - 2019-10-24286Griffins4Wolves3LXSommaire du Match
54 - 2019-10-25294IceHogs1Wolves8WSommaire du Match
57 - 2019-10-28302Wolves3Griffins4LXSommaire du Match
60 - 2019-10-31328Rampage3Wolves2LXSommaire du Match
61 - 2019-11-01336Stars1Wolves0LSommaire du Match
64 - 2019-11-04346Wolves2Wild3LXXSommaire du Match
66 - 2019-11-06358Wolves4Wild3WSommaire du Match
67 - 2019-11-07367Wolves5IceHogs2WSommaire du Match
74 - 2019-11-14411Roadrunners3Wolves1LSommaire du Match
75 - 2019-11-15419Roadrunners1Wolves2WXSommaire du Match
77 - 2019-11-17422Stars3Wolves2LXSommaire du Match
80 - 2019-11-20443IceHogs2Wolves6WSommaire du Match
81 - 2019-11-21452Wolves6Admirals2WSommaire du Match
85 - 2019-11-25469Wolves3Admirals2WSommaire du Match
87 - 2019-11-27483Wolves8IceHogs1WSommaire du Match
88 - 2019-11-28495IceHogs1Wolves0LSommaire du Match
90 - 2019-11-30505Wolves1Wild2LSommaire du Match
92 - 2019-12-02514Wild1Wolves0LSommaire du Match
94 - 2019-12-04525Rampage1Wolves2WSommaire du Match
95 - 2019-12-05540Rampage2Wolves5WSommaire du Match
101 - 2019-12-11571Wolves1Roadrunners3LSommaire du Match
102 - 2019-12-12586Wolves1Roadrunners3LSommaire du Match
106 - 2019-12-16601Griffins2Wolves5WSommaire du Match
109 - 2019-12-19627IceHogs2Wolves8WSommaire du Match
110 - 2019-12-20635Admirals0Wolves2WSommaire du Match
114 - 2019-12-24653Wolves2Monsters3LXXSommaire du Match
116 - 2019-12-26675Wolves-Monsters-
122 - 2020-01-01691Wolves-IceHogs-
123 - 2020-01-02707Moose-Wolves-
130 - 2020-01-09734Wolves-Admirals-
131 - 2020-01-10754Wolves-Griffins-
134 - 2020-01-13766Wolves-Moose-
136 - 2020-01-15776Wolves-Moose-
138 - 2020-01-17798Wild-Wolves-
142 - 2020-01-21814Stars-Wolves-
144 - 2020-01-23836Griffins-Wolves-
145 - 2020-01-24844Stars-Wolves-
147 - 2020-01-26847IceHogs-Wolves-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
150 - 2020-01-29863Wolves-Stars-
151 - 2020-01-30877Wolves-Stars-
154 - 2020-02-02888Wolves-Rampage-
157 - 2020-02-05906Wolves-Admirals-
158 - 2020-02-06918Wild-Wolves-
159 - 2020-02-07928Admirals-Wolves-
164 - 2020-02-12950Monsters-Wolves-
165 - 2020-02-13964Rampage-Wolves-
169 - 2020-02-17981Wolves-IceHogs-
171 - 2020-02-19990Wolves-Stars-
172 - 2020-02-201003Wolves-Rampage-
175 - 2020-02-231016Wolves-Rampage-
178 - 2020-02-261030Wolves-Griffins-
179 - 2020-02-271049Admirals-Wolves-
180 - 2020-02-281056Wolves-IceHogs-
185 - 2020-03-041079Wolves-Admirals-
186 - 2020-03-051095Eagles-Wolves-
187 - 2020-03-061102Eagles-Wolves-
192 - 2020-03-111123Wolves-Wild-
193 - 2020-03-121137Moose-Wolves-
194 - 2020-03-131148Moose-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
15 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,337,017$ 164,860$ 121,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 75,060$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 29,463$ 2,357,040$




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
1443241002403144925223134023017943362011600102654916591442714150458374761251418401412339153005107281904423.16%2132687.79%3813131861.68%677114159.33%35661757.70%1206884890295515273
Total Saison Régulière43241002403144925223134023017943362011600102654916591442714150458374761251418401412339153005107281904423.16%2132687.79%3813131861.68%677114159.33%35661757.70%1206884890295515273