Wolves

GP: 5 | W: 2 | L: 3 | OTL: 0 | P: 4
GF: 23 | GA: 31 | PP%: 29.63% | PK%: 37.50%
DG: Eric Toussaint | Morale : 49 | Moyenne d'Équipe : 67
Prochain matchs #64 vs Admirals
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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
1Zach SanfordX100.007037886988717168586669726569666351690
2Nicolas DeslauriersX100.009245806482666163535860625675685351650
3Trent FredericX100.006245795681786855635456575361637951590
4Slater KoekkoekX100.008339816479815063306961775369658351710
5Matt GrzelcykX100.006250666465857963307458685069656151680
Rayé
MOYENNE D'ÉQUIPE100.00744379637976666247646167556965685166
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
1Ken Appleby100.00706664886968706968706967715251690
Rayé
MOYENNE D'ÉQUIPE100.0070666488696870696870696771525169
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner83798983716678CAN4711,200,000$


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
1Matt GrzelcykWolves (STL)D5077340132313100.00%37414.990001100000000.00%024001.8700000010
Stats d'équipe Total ou en Moyenne5077340132313100.00%37414.990001100000000.00%024001.8700000010
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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
Ken ApplebyWolves (STL)G221995-04-10No210 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Matt GrzelcykWolves (STL)D231994-01-05No174 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm1,400,000$0$0$NoLien
Nicolas DeslauriersWolves (STL)LW261991-02-22No221 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm950,000$0$0$NoLien
Slater KoekkoekWolves (STL)D231994-02-18No193 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Trent FredericWolves (STL)C191998-02-11No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Zach SanfordWolves (STL)LW221994-11-09No207 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
622.50201 Lbs6 ft21.17950,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Matt Grzelcyk30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
240122Matt Grzelcyk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Grzelcyk, , Matt Grzelcyk,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #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
1Barracuda11000000835110000008350000000000021.0008162400481102630444601126148337.50%3166.67%0337742.86%197326.03%4210639.62%10762104478741
2Heat1010000008-8000000000001010000008-800.00000000481102330444603812617200.00%330.00%0337742.86%197326.03%4210639.62%10762104478741
3Moose11000000642000000000001100000064221.0006121800481102730444601670216233.33%000.00%0337742.86%197326.03%4210639.62%10762104478741
4Rampages1010000056-11010000056-10000000000000.0005101500481103030444603576127114.29%3233.33%0337742.86%197326.03%4210639.62%10762104478741
5Stars10100000410-60000000000010100000410-600.0004812004811014304446052181464250.00%7442.86%0337742.86%197326.03%4210639.62%10762104478741
Total523000002331-8211000001394312000001022-1240.4002346690048110120304446015246327027829.63%161037.50%0337742.86%197326.03%4210639.62%10762104478741
_Since Last GM Reset523000002331-8211000001394312000001022-1240.4002346690048110120304446015246327027829.63%161037.50%0337742.86%197326.03%4210639.62%10762104478741
_Vs Conference523000002331-8211000001394312000001022-1240.4002346690048110120304446015246327027829.63%161037.50%0337742.86%197326.03%4210639.62%10762104478741
_Vs Division312000001520-51010000056-1211000001014-420.333153045004811071304446010332203917529.41%10640.00%0337742.86%197326.03%4210639.62%10762104478741

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
54L323466912015246327000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52300002331
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000139
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31200001022
Derniers 10 Matchs
WLOTWOTL SOWSOL
230000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27829.63%161037.50%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
304446048110
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
337742.86%197326.03%4210639.62%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10762104478741


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
1 - 2019-10-043Barracuda3Wolves8WSommaire du Match
4 - 2019-10-0719Wolves6Moose4WSommaire du Match
6 - 2019-10-0930Rampages6Wolves5LSommaire du Match
7 - 2019-10-1039Wolves0Heat8LSommaire du Match
10 - 2019-10-1351Wolves4Stars10LSommaire du Match
13 - 2019-10-1664Admirals-Wolves-
15 - 2019-10-1881Icedogs-Wolves-
17 - 2019-10-2089Wolves-Rampages-
19 - 2019-10-22103Wolves-Admirals-
20 - 2019-10-23112Moose-Wolves-
23 - 2019-10-26127Stars-Wolves-
24 - 2019-10-27135Wolves-Phantoms-
25 - 2019-10-28139Wolves-Icedogs-
28 - 2019-10-31158Wolves-Gulls-
30 - 2019-11-02166Condors-Wolves-
33 - 2019-11-05181Rampages-Wolves-
36 - 2019-11-08193Wolves-Stars-
38 - 2019-11-10205Blacknight-Wolves-
40 - 2019-11-12218Wolves-Stars-
42 - 2019-11-14228Heat-Wolves-
44 - 2019-11-16234Wolves-Rampages-
46 - 2019-11-18244Wolves-Bruins-
48 - 2019-11-20257Wolves-Senateurs-
49 - 2019-11-21264Monsters-Wolves-
52 - 2019-11-24278Wolves-Bears-
54 - 2019-11-26288Devils-Wolves-
56 - 2019-11-28303Wolves-Barracuda-
57 - 2019-11-29311Bruins-Wolves-
60 - 2019-12-02323Wolves-Barracuda-
62 - 2019-12-04335Rocket-Wolves-
64 - 2019-12-06345Wolves-Devils-
66 - 2019-12-08356Barracuda-Wolves-
68 - 2019-12-10365Wolves-Marlies-
71 - 2019-12-13383Crunch-Wolves-
73 - 2019-12-15389Wolves-Moose-
75 - 2019-12-17402Wolves-Monsters-
77 - 2019-12-19408Reigh-Wolves-
80 - 2019-12-22428Sound Tigers-Wolves-
82 - 2019-12-24443Wolves-Reigh-
83 - 2019-12-25452Senateurs-Wolves-
86 - 2019-12-28464Wolves-Penguins-
88 - 2019-12-30476Penguins-Wolves-
93 - 2020-01-04498Stars-Wolves-
96 - 2020-01-07516Wolves-Crunch-
98 - 2020-01-09524Bears-Wolves-
101 - 2020-01-12541Moose-Wolves-
103 - 2020-01-14550Wolves-Phantoms-
105 - 2020-01-16561Wolves-Gulls-
106 - 2020-01-17569Gulls-Wolves-
109 - 2020-01-20585Icedogs-Wolves-
111 - 2020-01-22595Wolves-Icedogs-
116 - 2020-01-27613Blacknight-Wolves-
118 - 2020-01-29624Wolves-Rocket-
120 - 2020-01-31636Heat-Wolves-
122 - 2020-02-02648Wolves-Thunderbird-
124 - 2020-02-04660Wolves-Reigh-
125 - 2020-02-05668Stars-Wolves-
128 - 2020-02-08685Gulls-Wolves-
130 - 2020-02-10697Wolves-Blacknight-
131 - 2020-02-11704Wolves-Moose-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14713Rampages-Wolves-
137 - 2020-02-17731Wolves-Rampages-
138 - 2020-02-18740Moose-Wolves-
141 - 2020-02-21750Wolves-Blacknight-
143 - 2020-02-23759Wolves-Icedogs-
144 - 2020-02-24764Barracuda-Wolves-
148 - 2020-02-28784Wolves-Heat-
149 - 2020-02-29791Penguins-Wolves-
153 - 2020-03-04808Phantoms-Wolves-
157 - 2020-03-08829Icedogs-Wolves-
159 - 2020-03-10840Wolves-Monsters-
162 - 2020-03-13854Thunderbird-Wolves-
167 - 2020-03-18875Wolves-Admirals-
168 - 2020-03-19879Reigh-Wolves-
170 - 2020-03-21891Wolves-Sound Tigers-
171 - 2020-03-22902Wolves-Condors-
173 - 2020-03-24908Condors-Wolves-
175 - 2020-03-26921Wolves-Admirals-
177 - 2020-03-28933Admirals-Wolves-
181 - 2020-04-01951Marlies-Wolves-
182 - 2020-04-02955Wolves-Condors-
189 - 2020-04-09979Admirals-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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
101,937$ 570,000$ 564,167$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 32,824$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 180 9,267$ 1,668,060$




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
3523000002331-8211000001394312000001022-1242346690048110120304446015246327027829.63%161037.50%0337742.86%197326.03%4210639.62%10762104478741
Total Saison Régulière523000002331-8211000001394312000001022-1242346690048110120304446015246327027829.63%161037.50%0337742.86%197326.03%4210639.62%10762104478741