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OTHL - Wolves 

Wolves
GP: 16 | W: 9 | L: 7 | OTL: 0 | P: 18
GF: 46 | GA: 32 | PP%: 19.05% | PK%: 86.96%
DG: James | Morale : 50 | Moyenne d'Équipe : 62
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Nolan PatrickX100.0073438876736558708460586425494964506202311,000,000$
2Lias AnderssonXX100.0061418478716268614561647125555566506202311,775,000$
3Dominic TurgeonXX100.007973926373687157715157675453536250600251919,167$
4Nick Baptiste (R)X100.007774846474616163505864656144446450600261800,000$
5Liam Foudy (R)XXX100.0065429165726367593263556525464759505902121,269,167$
6Morgan GeekieX100.007143906273557466666358562547486350590232800,000$
7Vitaly Kravtsov (R)X100.0063429365716260602560596325454561505802131,775,000$
8Gustav Lindstrom (R)X100.007644997272696760255747842546466150660232925,000$
9Jamie Drysdale (R)X100.0061419186647870692555547125464662506501931,775,000$
10Juuso Valimaki (R)X100.0067438575786756612552487025484862506302311,319,166$
11Pierre-Olivier Joseph (R)X100.0079448865707072632559486625454558506202231,075,833$
12Josh Brook (R)X100.007171726971677152254941603944445450590223910,833$
Rayé
MOYENNE D'ÉQUIPE100.00705088707266666242575467324748615061
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
1Adam Werner100.00575468865861576362613044445950600
Rayé
MOYENNE D'ÉQUIPE100.0057546886586157636261304444595060
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Montgomery75837476777173CAN511800,000$


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

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# 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
1Liam FoudyWolves (VGK)C/LW/RW16761313801483352921.21%124115.101126530000181043.48%2300001.0800000111
2Juuso ValimakiWolves (VGK)D16210129602815249128.33%1930018.76235154600003600 0.00%000000.8000000001
3Nolan PatrickWolves (VGK)C146612620132839132415.38%226318.813039470001371169.02%32600000.9101000210
4Morgan GeekieWolves (VGK)C144812128020173092113.33%121915.690222450000260066.83%20200001.0900000110
5Nick BaptisteWolves (VGK)RW146612610017826111723.08%125318.100336440001323057.89%1900010.9511000301
6Dominic TurgeonWolves (VGK)C/LW164711620161532111712.50%527617.281345540000261158.11%7400000.8011000020
7Josh BrookWolves (VGK)D14461032806719225918.18%2625618.351122130000810 0.00%000000.7800000021
8Vitaly KravtsovWolves (VGK)RW1446101220373072213.33%019113.69044544000031066.67%900001.0400000021
9Jamie DrysdaleWolves (VGK)D14268-280812246168.33%530521.84112134300002900 0.00%000100.5200000000
10Pierre-Olivier JosephWolves (VGK)D142579602212159813.33%626719.09112123800003200 0.00%000000.5200000002
11Gustav LindstromWolves (VGK)D14145-1602612166106.25%630421.72112104100002900 0.00%000000.3300000001
Stats d'équipe Total ou en Moyenne1604270112738602341532919118514.43%72288018.001120318547300022818265.85%65300110.7823000798
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
1Adam WernerWolves (VGK)159600.9021.6885904242460000.6673150101
Stats d'équipe Total ou en Moyenne159600.9021.6885904242460000.6673150101


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 Salaire RestantCap 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
Adam WernerWolves (VGK)G241997-05-02No202 Lbs6 ft5NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Dominic TurgeonWolves (VGK)C/LW251996-02-25No199 Lbs6 ft2NoNoNo1Pro & Farm919,167$919,167$0$0$NoLien / Lien NHL
Gustav LindstromWolves (VGK)D231998-10-20Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Jamie DrysdaleWolves (VGK)D192002-04-08Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$1,775,000$Lien
Josh BrookWolves (VGK)D221999-06-17Yes192 Lbs6 ft1NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$Lien / Lien NHL
Juuso ValimakiWolves (VGK)D231998-10-06Yes212 Lbs6 ft2NoNoNo1Pro & Farm1,319,166$1,319,166$0$0$NoLien
Liam FoudyWolves (VGK)C/LW/RW212000-02-04Yes193 Lbs6 ft2NoNoNo2Pro & Farm1,269,167$1,269,167$0$0$No1,269,167$Lien
Lias AnderssonGolden KnightsC/LW231998-10-13No190 Lbs6 ft1NoNoNo1Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$NoLien / Lien NHL
Morgan GeekieWolves (VGK)C231998-07-20No192 Lbs6 ft3NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Nick BaptisteWolves (VGK)RW261995-08-04Yes203 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Nolan PatrickWolves (VGK)C231998-09-19No198 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Pierre-Olivier JosephWolves (VGK)D221999-07-01Yes185 Lbs6 ft2NoNoNo3Pro & Farm1,075,833$1,075,833$0$0$No1,075,833$1,075,833$Lien / Lien NHL
Vitaly KravtsovWolves (VGK)RW211999-12-23Yes189 Lbs6 ft3NoNoNo3Pro & Farm1,775,000$1,775,000$0$0$No1,775,000$1,775,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1322.69194 Lbs6 ft21.921,174,551$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominic TurgeonNolan PatrickNick Baptiste40122
2Liam FoudyMorgan GeekieVitaly Kravtsov30122
320122
4Nick BaptisteNolan PatrickDominic Turgeon10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav LindstromJamie Drysdale40122
2Juuso ValimakiPierre-Olivier Joseph30122
3Josh Brook20122
4Gustav LindstromJamie Drysdale10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dominic TurgeonNolan PatrickNick Baptiste60122
2Liam FoudyMorgan GeekieVitaly Kravtsov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav LindstromJamie Drysdale60122
2Juuso ValimakiPierre-Olivier Joseph40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nolan PatrickNick Baptiste60122
2Dominic TurgeonMorgan Geekie40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav LindstromJamie Drysdale60122
2Juuso ValimakiPierre-Olivier Joseph40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nolan Patrick60122Gustav LindstromJamie Drysdale60122
2Nick Baptiste40122Juuso ValimakiPierre-Olivier Joseph40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nolan PatrickNick Baptiste60122
2Dominic TurgeonMorgan Geekie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav LindstromJamie Drysdale60122
2Juuso ValimakiPierre-Olivier Joseph40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominic TurgeonNolan PatrickNick BaptisteGustav LindstromJamie Drysdale
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dominic TurgeonNolan PatrickNick BaptisteGustav LindstromJamie Drysdale
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Liam Foudy, Vitaly Kravtsov, Morgan GeekieLiam Foudy, Vitaly KravtsovMorgan Geekie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josh Brook, Juuso Valimaki, Pierre-Olivier JosephJosh BrookJuuso Valimaki, Pierre-Olivier Joseph
Tirs de Pénalité
Nolan Patrick, Nick Baptiste, Dominic Turgeon, Morgan Geekie, Liam Foudy
Gardien
#1 : Adam Werner, #2 :
Lignes d'Attaque Perso. en Prol.
Nolan Patrick, Nick Baptiste, Dominic Turgeon, Morgan Geekie, Liam Foudy, Vitaly Kravtsov, Vitaly Kravtsov, , , ,
Lignes de Défense Perso. en Prol.
Gustav Lindstrom, Jamie Drysdale, Juuso Valimaki, Pierre-Olivier Joseph, Josh Brook


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
1 Americans2020000006-61010000003-31010000003-300.00000000161217229126124128641918281000.00%9188.89%023438560.78%17035547.89%10720751.69%4743653199217194
2Admirals201000104401010000012-11000001032120.5004610001612172321261241286419142915320.00%5180.00%023438560.78%17035547.89%10720751.69%4743653199217194
3IceHogs211000002201010000012-11100000010120.500246011612172311261241286324825700.00%30100.00%023438560.78%17035547.89%10720751.69%4743653199217194
4Mariners2110000078-1110000004221010000036-320.50071421001612172431261241286662818328225.00%9366.67%023438560.78%17035547.89%10720751.69%4743653199217194
5Moose2020000029-71010000013-21010000016-500.000246001612172331261241286611914388225.00%5180.00%023438560.78%17035547.89%10720751.69%4743653199217194
6Rampage 22000000716110000004131100000030341.000714210116121725312612412862158425120.00%40100.00%023438560.78%17035547.89%10720751.69%4743653199217194
7Stars2200000011110110000004131100000070741.00011182901161217268126124128623610427228.57%50100.00%023438560.78%17035547.89%10720751.69%4743653199217194
8Wild2200000013112110000006061100000071641.00013233601161217292126124128619912373266.67%60100.00%023438560.78%17035547.89%10720751.69%4743653199217194
Total16870001046321484400000211478430001025187180.5634683129041612172381126124128630489102273631219.05%46686.96%023438560.78%17035547.89%10720751.69%4743653199217194
_Since Last GM Reset16870001046321484400000211478430001025187180.5634683129041612172381126124128630489102273631219.05%46686.96%023438560.78%17035547.89%10720751.69%4743653199217194
_Vs Conference16870001046321484400000211478430001025187180.5634683129041612172381126124128630489102273631219.05%46686.96%023438560.78%17035547.89%10720751.69%4743653199217194
_Vs Division1287000103918216440000017986430001022913180.750396910804161217230912612412861975266213451022.22%28292.86%023438560.78%17035547.89%10720751.69%4743653199217194

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1618W146831293813048910227304
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
168700104632
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
84400002114
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
84300102518
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
631219.05%46686.96%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
12612412861612172
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
23438560.78%17035547.89%10720751.69%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
4743653199217194


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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-1813Wolves3Mariners6LSommaire du Match
2 - 2021-10-1925Moose3Wolves1LSommaire du Match
4 - 2021-10-2146Mariners2Wolves4WSommaire du Match
5 - 2021-10-2250Wolves7Wild1WSommaire du Match
6 - 2021-10-2370Wolves1IceHogs0WSommaire du Match
7 - 2021-10-2486Wolves3Admirals2WXXSommaire du Match
8 - 2021-10-2594Admirals2Wolves1LSommaire du Match
9 - 2021-10-26116Wolves1Moose6LSommaire du Match
10 - 2021-10-27125Rampage 1Wolves4WSommaire du Match
12 - 2021-10-29147Stars1Wolves4WSommaire du Match
14 - 2021-10-31172 Americans3Wolves0LSommaire du Match
16 - 2021-11-02191Wolves0 Americans3LSommaire du Match
17 - 2021-11-03198Wolves3Rampage 0WSommaire du Match
18 - 2021-11-04210Wolves7Stars0WSommaire du Match
19 - 2021-11-05224IceHogs2Wolves1LSommaire du Match
21 - 2021-11-07245Wild0Wolves6WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets400
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,949,417$ 1,949,417$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

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





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LigueDomicileVisiteur
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