Chicago Wolves

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Camil Costandi | Morale : 3 | 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
1Patrick BrownXX100.008077867277798559745262665946466534610
2Chris BourqueXX100.006660796760808465506658645559596413610
3Adam Johnson (R)XX100.007164876264838862785962625944446571610
4Mitchell StephensX100.007770926570687063795964656144446581610
5C.J. SmithXXX100.006341997067588163255070684555556758610
6Wayne SimpsonX100.007669916469838961505662645944446567610
7Saku Maenalanen (R)XXX100.007844837271547956356162602547476474590
8Joel L'Esperance (R)XX100.007744897375627868535060582545456275590
9Travis MorinX100.007774856474828956705850644845456078590
10Mikhail Vorobyev (R)X100.006141957172547563565758602545456176580
11Morgan KlimchukX100.007068766968656856504760605744446079570
12Andrew Oglevie (R)X100.007565976065545455504857625444445924540
13Brent Pedersen (R)X100.007876846876515249504053625044445623530
14Calle RosenX100.007065817065757962256246644455556045620
15Doyle SomerbyX100.008383846583636749253843674152525462600
16Kevin CzuczmanX100.007576746576778450254441623946465551590
17Cavan FitzgeraldX100.007268816468677250253943624154545474580
18Ryan Lindgren (R)X100.006871616071687447254541583744445040550
19Matt Finn (R)X100.007671866071404043252843604144444923510
Rayé
1Philippe MyersX100.008545967476677862255150662545456035630
2Niklas HanssonX100.007368856568778449254043604144445520580
MOYENNE D'ÉQUIPE100.00746485677167755744505463444747605359
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
1Michael McNiven (R)100.00555873805357586258583044445726580
2Dan Vladar (R)100.00546784805057546055553044445667580
Rayé
MOYENNE D'ÉQUIPE100.0055637980525756615757304444574758
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon72587669704765USA56160,000$


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
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


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
Adam JohnsonChicago Wolves (QUE)C/LW241994-06-22Yes174 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Andrew OglevieChicago Wolves (QUE)RW231995-02-16Yes181 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brent PedersenChicago Wolves (QUE)LW221995-07-05Yes205 Lbs6 ft2YesNoNo1Pro & Farm500,000$0$0$NoLien
C.J. SmithChicago Wolves (QUE)C/LW/RW231994-12-01No185 Lbs5 ft11NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Calle RosenChicago Wolves (QUE)D241994-02-02No176 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Cavan FitzgeraldChicago Wolves (QUE)D211996-08-23No186 Lbs6 ft0NoNoNo1Pro & Farm656,667$0$0$NoLien
Chris BourqueChicago Wolves (QUE)LW/RW321986-01-29No174 Lbs5 ft8YesNoNo1Pro & Farm500,000$0$0$NoLien
Dan VladarChicago Wolves (QUE)G201997-08-20Yes185 Lbs6 ft5NoNoNo1Pro & Farm728,333$0$0$NoLien
Doyle SomerbyChicago Wolves (QUE)D231994-07-04No218 Lbs6 ft6NoNoNo1Pro & Farm725,000$0$0$NoLien
Joel L'EsperanceChicago Wolves (QUE)C/RW221995-08-18Yes201 Lbs6 ft2NoNoNo2Pro & Farm722,500$0$0$No722,500$Lien
Kevin CzuczmanChicago Wolves (QUE)D271991-01-09No206 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
Matt FinnChicago Wolves (QUE)D241994-02-03Yes199 Lbs6 ft0YesNoNo1Pro & Farm500,000$0$0$NoLien
Michael McNivenChicago Wolves (QUE)G201997-07-08Yes221 Lbs6 ft1NoNoNo1Pro & Farm682,222$0$0$NoLien
Mikhail VorobyevChicago Wolves (QUE)C211997-01-04Yes194 Lbs6 ft2NoNoNo2Pro & Farm784,167$0$0$No784,167$Lien
Mitchell StephensChicago Wolves (QUE)C211997-02-05No191 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien
Morgan KlimchukChicago Wolves (QUE)LW231995-03-01No185 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Niklas HanssonChicago Wolves (QUE)D231995-01-08No181 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Patrick BrownChicago Wolves (QUE)C/RW261992-05-29No210 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Philippe MyersChicago Wolves (QUE)D211997-01-25No196 Lbs6 ft5NoNoNo2Pro & Farm678,333$0$0$No678,333$Lien
Ryan LindgrenChicago Wolves (QUE)D201998-02-10Yes198 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Saku MaenalanenChicago Wolves (QUE)C/LW/RW241994-05-28Yes185 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien
Travis MorinChicago Wolves (QUE)C341984-01-08No200 Lbs6 ft1YesNoNo1Pro & Farm500,000$0$0$NoLien
Wayne SimpsonChicago Wolves (QUE)RW281989-11-19No194 Lbs5 ft11YesNoNo1Pro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.74193 Lbs6 ft11.30688,140$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mitchell Stephens40122
2Adam Johnson30122
3Saku MaenalanenJoel L'Esperance20122
4Morgan KlimchukTravis Morin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
3Doyle SomerbyKevin Czuczman20122
4Cavan FitzgeraldRyan Lindgren10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mitchell Stephens60122
2Adam Johnson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Mitchell Stephens40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Mitchell Stephens40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mitchell Stephens
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mitchell Stephens
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mikhail Vorobyev, Joel L'Esperance, Saku MaenalanenMikhail Vorobyev, Joel L'EsperanceSaku Maenalanen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Doyle Somerby, Kevin Czuczman, Cavan FitzgeraldDoyle SomerbyKevin Czuczman, Cavan Fitzgerald
Tirs de Pénalité
, , Mitchell Stephens, ,
Gardien
#1 : Dan Vladar, #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets2510
Assistance0.00%0.00%
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
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,582,722$ 1,582,722$ 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$




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
Saison Régulière
201682244405612349428-7941112204310177215-3841132201302172213-41483495909395083131129626587039619604630501020127114871999547.74%1836763.39%4825168249.05%796161049.44%754151149.90%156679117297931661833
201782225002323252325-7341102601121134179-4541122401202118146-284425240665821618510292121605713783372980101375815121756436.57%2045871.57%7659132749.66%830182545.48%595124747.71%150267817437851708899
2018824720084123783116741258042021951474841221204210183164199437859597300711721261029008271080956472862977209217872328034.48%2707273.33%6864167951.46%1012193452.33%735147449.86%165086317117901596795
20198240330420346844028412612021002522025041142102103216238-22804687691237101112001534324510111219998263218102391914132188940.83%2087862.50%6779168346.29%778166846.64%756166345.46%172299717207481504742
Total Saison Régulière3281331470191541014471504-57164726801173375874315164617908817689761-722661447236038078132658851029109243146397336971561211040335040619982432839.81%86527568.21%233127637149.08%3416703748.54%2840589548.18%644133306903311764713270