Wolves

GP: 66 | W: 19 | L: 42 | OTL: 5 | P: 43
GF: 273 | GA: 399 | PP%: 26.92% | PK%: 48.06%
DG: Martin Raby | Morale : 31 | Moyenne d'Équipe : 67
Prochain matchs #767 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
1Josh AndersonX100.007743797684889173705371697556556125690
2Jordan MartinookX100.007343767972829665675956686859556648670
3Pierre-Edouard BellemareX100.006041827171798865845257766762582649670
4Miikka SalomakiX100.008043767770757770655053646555556943640
5Matt GrzelcykX100.006143828157739075305454716452516249670
6Slater KoekkoekX100.006641806973716273305059767353548466670
Rayé
MOYENNE D'ÉQUIPE100.00704279767178847058535871695655614767
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Boughner77828384756076CAN4721,200,000$


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'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
1Pierre-Edouard BellemareWolves (STL)LW66273663-2319536443261152398.28%38113417.1801127000032264.37%877340021.11110018811
2Miikka SalomakiWolves (STL)RW66113344-24571551192641011624.17%1489113.5000017000000075.00%606132000.99000215106
3Matt GrzelcykWolves (STL)D6623032-18215215117787841.13%4697714.811012600022000.00%01861000.6500001578
4Jordan MartinookWolves (STL)LW6661824-223604021175581033.43%1668510.3900000000031051.61%315528000.7001000738
Stats d'équipe Total ou en Moyenne26446117163-87133251481359423615884.88%114368813.97112521000283265.73%178207161020.8812023252833
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
Jordan MartinookWolves (STL)LW251992-07-25No204 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm1,800,000$0$0$NoLien
Josh AndersonWolves (STL)RW231994-05-07No221 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm1,850,000$0$0$NoLien
Matt GrzelcykWolves (STL)D231994-01-05No174 Lbs5 ft9NoNoNo2Contrat d'EntréePro & Farm1,400,000$0$0$NoLien
Miikka SalomakiWolves (STL)RW241993-03-09No203 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Pierre-Edouard BellemareWolves (STL)LW321985-03-06No198 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm1,450,000$0$0$NoLien
Slater KoekkoekWolves (STL)D231994-02-18No193 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm865,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
625.00199 Lbs6 ft01.501,352,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Pierre-Edouard BellemareMiikka Salomaki30122
3Jordan Martinook20122
4Pierre-Edouard Bellemare10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Matt Grzelcyk30122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Pierre-Edouard BellemareMiikka Salomaki40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Matt Grzelcyk40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Pierre-Edouard BellemareJordan Martinook40122
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
2Pierre-Edouard BellemareJordan Martinook40122
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
Miikka Salomaki, Jordan Martinook, Pierre-Edouard BellemareMiikka Salomaki, Jordan MartinookPierre-Edouard Bellemare
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Matt Grzelcyk, , Matt Grzelcyk,
Tirs de Pénalité
, , Pierre-Edouard Bellemare, Jordan Martinook, Miikka Salomaki
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
1Admirals505000001536-2120200000616-1030300000920-1100.00015264110499712441566056537221719651516432618.75%181327.78%0527117244.97%459105043.71%627143343.75%146591914595791051496
2Barracuda421001001717022000000117420100100610-450.6251730470049971244105605653722179527244615640.00%12466.67%1527117244.97%459105043.71%627143343.75%146591914595791051496
3Bears2010010079-21000010045-11010000034-110.2507121900499712444460565372217581114266116.67%7357.14%0527117244.97%459105043.71%627143343.75%146591914595791051496
4Blacknight4210010022175211000001275210001001010050.6252241630049971244117605653722179427204421942.86%10370.00%0527117244.97%459105043.71%627143343.75%146591914595791051496
5Bruins11000000734000000000001100000073421.0007142100499712443260565372217234485240.00%3166.67%0527117244.97%459105043.71%627143343.75%146591914595791051496
6Condors20200000513-80000000000020200000513-800.0005914004997124456605653722178030182211327.27%9188.89%0527117244.97%459105043.71%627143343.75%146591914595791051496
7Crunch20200000510-51010000034-11010000026-400.0005101500499712445260565372217612414214250.00%7357.14%0527117244.97%459105043.71%627143343.75%146591914595791051496
8Devils1010000028-61010000028-60000000000000.000246004997124430605653722174721146500.00%7528.57%0527117244.97%459105043.71%627143343.75%146591914595791051496
9Gulls312000001415-12110000010911010000046-220.33314274100499712449060565372217582620469666.67%9455.56%0527117244.97%459105043.71%627143343.75%146591914595791051496
10Heat1010000014-31010000014-30000000000000.00012300499712444260565372217236420300.00%2150.00%0527117244.97%459105043.71%627143343.75%146591914595791051496
11Icedogs62201001272433100100116124312000001112-170.58327527900499712441876056537221717551407820630.00%20860.00%1527117244.97%459105043.71%627143343.75%146591914595791051496
12Marlies20200000517-121010000048-41010000019-800.000510150049971244656056537221781194332800.00%14935.71%0527117244.97%459105043.71%627143343.75%146591914595791051496
13Monsters1010000026-4000000000001010000026-400.00024600499712443560565372217185817500.00%4175.00%0527117244.97%459105043.71%627143343.75%146591914595791051496
14Moose642000003436-23300000018117312000001625-980.66734649800499712442036056537221721867506622731.82%251060.00%1527117244.97%459105043.71%627143343.75%146591914595791051496
15Penguins11000000927000000000001100000092721.00091827004997124437605653722173276106233.33%3166.67%0527117244.97%459105043.71%627143343.75%146591914595791051496
16Phantoms301011002124-3201010001416-21000010078-130.500213859004997124489605653722171516534349333.33%171511.76%1527117244.97%459105043.71%627143343.75%146591914595791051496
17Rampages514000002340-1721100000812-4303000001528-1320.20023426500499712441596056537221720774686118422.22%342041.18%1527117244.97%459105043.71%627143343.75%146591914595791051496
18Reigh413000001520-52110000065120200000915-620.25015274210499712441266056537221712733345914428.57%17570.59%0527117244.97%459105043.71%627143343.75%146591914595791051496
19Rocket20200000614-81010000035-21010000039-600.0006111700499712445160565372217741822206233.33%11645.45%1527117244.97%459105043.71%627143343.75%146591914595791051496
20Senateurs20200000515-101010000049-51010000016-500.000591400499712445860565372217593026279333.33%13746.15%0527117244.97%459105043.71%627143343.75%146591914595791051496
21Sound Tigers211000001115-41010000049-51100000076120.50011193000499712446860565372217632514226116.67%7528.57%1527117244.97%459105043.71%627143343.75%146591914595791051496
22Stars504010001243-3120200000223-21302010001020-1020.2001223350049971244143605653722172427956661616.25%231630.43%0527117244.97%459105043.71%627143343.75%146591914595791051496
23Thunderbird20200000811-31010000034-11010000057-200.00081624004997124448605653722174317222510220.00%11645.45%0527117244.97%459105043.71%627143343.75%146591914595791051496
Total66164203401273399-12631101702101131174-433562501300142225-83430.326273508781204997124419936056537221722257176068202607026.92%28314748.06%7527117244.97%459105043.71%627143343.75%146591914595791051496
_Since Last GM Reset66164203401273399-12631101702101131174-433562501300142225-83430.326273508781204997124419936056537221722257176068202607026.92%28314748.06%7527117244.97%459105043.71%627143343.75%146591914595791051496
_Vs Conference45132702201185265-80211090100190106-16243180120095159-64330.367185343528204997124413846056537221715154713855721815228.73%1798552.51%4527117244.97%459105043.71%627143343.75%146591914595791051496
_Vs Division2771702001111179-681255010015074-24152120100061105-44190.35211120731810499712448486056537221710383222653351082422.22%1206744.17%3527117244.97%459105043.71%627143343.75%146591914595791051496

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6643L32735087811993222571760682020
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6616423401273399
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3110172101131174
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
356251300142225
Derniers 10 Matchs
WLOTWOTL SOWSOL
370000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2607026.92%28314748.06%7
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
6056537221749971244
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
527117244.97%459105043.71%627143343.75%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
146591914595791051496


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
2 - 2018-10-107Wolves2Stars8LSommaire du Match
4 - 2018-10-1215Wolves8Moose7WSommaire du Match
6 - 2018-10-1423Moose4Wolves5WSommaire du Match
13 - 2018-10-2143Stars8Wolves2LSommaire du Match
17 - 2018-10-2554Rampages6Wolves1LSommaire du Match
20 - 2018-10-2871Wolves3Moose10LSommaire du Match
22 - 2018-10-3082Admirals8Wolves3LSommaire du Match
24 - 2018-11-0192Wolves3Blacknight4LXSommaire du Match
26 - 2018-11-03101Barracuda4Wolves6WSommaire du Match
28 - 2018-11-05108Wolves2Admirals7LSommaire du Match
30 - 2018-11-07119Wolves2Rampages10LSommaire du Match
31 - 2018-11-08125Wolves2Icedogs4LSommaire du Match
33 - 2018-11-10140Moose3Wolves5WSommaire du Match
36 - 2018-11-13149Wolves5Icedogs6LSommaire du Match
39 - 2018-11-16164Icedogs7Wolves6LXXSommaire du Match
43 - 2018-11-20182Phantoms10Wolves7LSommaire du Match
45 - 2018-11-22189Wolves3Rampages7LSommaire du Match
47 - 2018-11-24196Wolves3Reigh7LSommaire du Match
50 - 2018-11-27208Wolves4Admirals6LSommaire du Match
52 - 2018-11-29215Devils8Wolves2LSommaire du Match
57 - 2018-12-04234Rocket5Wolves3LSommaire du Match
62 - 2018-12-09253Senateurs9Wolves4LSommaire du Match
66 - 2018-12-13263Wolves7Blacknight6WSommaire du Match
69 - 2018-12-16277Crunch4Wolves3LSommaire du Match
73 - 2018-12-20298Wolves2Stars7LSommaire du Match
74 - 2018-12-21304Reigh4Wolves2LSommaire du Match
78 - 2018-12-25321Wolves7Sound Tigers6WSommaire du Match
80 - 2018-12-27328Heat4Wolves1LSommaire du Match
84 - 2018-12-31349Reigh1Wolves4WSommaire du Match
86 - 2019-01-02359Wolves10Rampages11LSommaire du Match
88 - 2019-01-04370Wolves6Stars5WXSommaire du Match
89 - 2019-01-05374Moose4Wolves8WSommaire du Match
94 - 2019-01-10397Blacknight3Wolves9WSommaire du Match
98 - 2019-01-14411Wolves1Marlies9LSommaire du Match
100 - 2019-01-16421Marlies8Wolves4LSommaire du Match
103 - 2019-01-19431Wolves7Phantoms8LXSommaire du Match
106 - 2019-01-22442Gulls3Wolves5WSommaire du Match
108 - 2019-01-24455Wolves3Rocket9LSommaire du Match
110 - 2019-01-26463Wolves3Admirals7LSommaire du Match
112 - 2019-01-28472Icedogs2Wolves6WSommaire du Match
116 - 2019-02-01490Wolves6Reigh8LSommaire du Match
118 - 2019-02-03496Phantoms6Wolves7WXSommaire du Match
120 - 2019-02-05506Wolves5Thunderbird7LSommaire du Match
124 - 2019-02-09517Wolves3Condors6LSommaire du Match
126 - 2019-02-11523Bears5Wolves4LXSommaire du Match
129 - 2019-02-14535Wolves2Monsters6LSommaire du Match
131 - 2019-02-16545Gulls6Wolves5LSommaire du Match
134 - 2019-02-19565Wolves2Condors7LSommaire du Match
135 - 2019-02-20570Icedogs3Wolves4WXSommaire du Match
138 - 2019-02-23584Wolves7Bruins3WSommaire du Match
141 - 2019-02-26592Wolves3Bears4LSommaire du Match
142 - 2019-02-27598Rampages6Wolves7WSommaire du Match
145 - 2019-03-02611Wolves3Barracuda6LSommaire du Match
147 - 2019-03-04619Thunderbird4Wolves3LSommaire du Match
149 - 2019-03-06633Wolves3Barracuda4LXSommaire du Match
151 - 2019-03-08645Admirals8Wolves3LSommaire du Match
152 - 2019-03-09649Wolves2Crunch6LSommaire du Match
155 - 2019-03-12661Wolves4Gulls6LSommaire du Match
156 - 2019-03-13671Sound Tigers9Wolves4LSommaire du Match
162 - 2019-03-19692Wolves9Penguins2WSommaire du Match
163 - 2019-03-20695Stars15Wolves0LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
168 - 2019-03-25717Wolves4Icedogs2WSommaire du Match
169 - 2019-03-26723Barracuda3Wolves5WSommaire du Match
174 - 2019-03-31741Blacknight4Wolves3LSommaire du Match
178 - 2019-04-04754Wolves5Moose8LSommaire du Match
180 - 2019-04-06760Wolves1Senateurs6LSommaire du Match
182 - 2019-04-08767Monsters-Wolves-
184 - 2019-04-10776Wolves-Moose-
186 - 2019-04-12785Wolves-Phantoms-
187 - 2019-04-13792Penguins-Wolves-
192 - 2019-04-18809Wolves-Gulls-
193 - 2019-04-19816Bruins-Wolves-
200 - 2019-04-26840Stars-Wolves-
206 - 2019-05-02864Condors-Wolves-
210 - 2019-05-06883Condors-Wolves-
213 - 2019-05-09894Wolves-Heat-
216 - 2019-05-12909Admirals-Wolves-
219 - 2019-05-15924Rampages-Wolves-
221 - 2019-05-17933Wolves-Devils-
224 - 2019-05-20942Wolves-Heat-
229 - 2019-05-25959Moose-Wolves-
234 - 2019-05-30975Heat-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
10 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,494,164$ 811,500$ 811,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 582,824$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 57 8,487$ 483,759$




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
266164203401273399-12631101702101131174-433562501300142225-8343273508781204997124419936056537221722257176068202607026.92%28314748.06%7527117244.97%459105043.71%627143343.75%146591914595791051496
Total Saison Régulière66164203401273399-12631101702101131174-433562501300142225-8343273508781204997124419936056537221722257176068202607026.92%28314748.06%7527117244.97%459105043.71%627143343.75%146591914595791051496