Wolf Pack

GP: 76 | W: 21 | L: 53 | OTL: 2 | P: 44
GF: 166 | GA: 300 | PP%: 17.47% | PK%: 81.43%
DG: Steve Lechasseur | Morale : 63 | Moyenne d'Équipe : 55
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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
1Mark Olver (R)X99.00605566646360675650555655555353145560
2Colton HargroveX99.00565555555657575550555555557170133540
3Tyler GaudetX99.00555555555555555550555555555050163530
4Vincent LoVerdeX100.00605560617265676025606055555353132580
5Adam PardyX100.00555555605555585525555555556970145550
6Kenney MorrisonX100.00555555605555595525555555555353149540
7Simon Bourque (R)X100.00555555605555685525555555555555146540
8Christian Jaros (R)X100.00555555605555585525555555555555146540
9Zac LeslieX100.00555555605555555525555555555555163540
10Viktor LoovX100.00575555605555615525555555555353152540
Rayé
MOYENNE D'ÉQUIPE99.7056555760585761563356565555575714755
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
1C.J. Motte100.0055555555555555555555556060166550
Rayé
1Stephon Williams (R)93.0056707077626262626562555961138620
MOYENNE D'ÉQUIPE96.505663636659595959605955606115259
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Leach78978184735894USA385100,000$


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
1Simon BourqueWolf Pack (NYR)D65133447-2812410154103169491157.69%66131320.211019291042220110153220.00%700000.7201001333
2Adam PardyWolf Pack (NYR)D64202343-34815123941434111213.99%77128920.151614309621900001511129.63%5400000.6700001253
3Christian JarosWolf Pack (NYR)D57221840-3410915145971865911011.83%87117820.671462011620000021246125.00%1600010.6800011365
4Zac LeslieWolf Pack (NYR)D65112637-184951039511638999.48%59120618.5631013411790112792039.62%5300000.6100010028
5Tyler GaudetWolf Pack (NYR)C65161935-77001091491505412510.67%25112617.3428101914311282150151.29%150700010.6202000423
6Viktor LoovWolf Pack (NYR)D65141731-19751511979129428010.85%48120918.615494416710131201135.85%5300100.5100003300
7Mark OlverWolf Pack (NYR)C147815540183849113314.29%130021.4614512650000331148.19%38600001.0000000121
8Kenney MorrisonWolf Pack (NYR)D232810-635539274915444.08%2447020.451563091000251000.00%000000.4300001000
9Colton HargroveWolf Pack (NYR)LW14639-240311329112220.69%129721.242248590000310051.85%2700000.6100000001
10Vincent LoVerdeWolf Pack (NYR)D111670802017209195.00%1724622.380221350000025000.00%200000.5700000110
11Michael BuntingNew York RangersLW4303-2553451960.00%17117.82303520000091025.00%400000.8400001000
Stats d'équipe Total ou en Moyenne447115162277-14556460864716104533076811.00%406870919.48577413148814202351799614749.03%210900120.6403028172124
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
1Stephon WilliamsWolf Pack (NYR)1971200.8883.02111221565010310.0000190100
2C.J. MotteWolf Pack (NYR)41110.9292.302090081120000.6673321000
Stats d'équipe Total ou en Moyenne2381310.8962.91132221646130310.66732221100


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
Adam PardyWolf Pack (NYR)D321984-03-28No227 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
C.J. MotteWolf Pack (NYR)G251991-12-10No176 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Christian JarosWolf Pack (NYR)D201996-04-02Yes201 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Colton HargroveWolf Pack (NYR)LW241992-06-25No216 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Kenney MorrisonWolf Pack (NYR)D241992-02-12No210 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Mark OlverWolf Pack (NYR)C291988-01-01Yes170 Lbs5 ft10NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Simon BourqueWolf Pack (NYR)D201997-01-12Yes183 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Stephon Williams (Sur la Masse Salariale)Wolf Pack (NYR)G231993-04-28Yes190 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$Yes
Tyler GaudetWolf Pack (NYR)C231993-04-03No205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Viktor LoovWolf Pack (NYR)D241992-11-15No187 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Vincent LoVerdeWolf Pack (NYR)D271989-04-13No205 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No
Zac LeslieWolf Pack (NYR)D221994-01-31No174 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1224.42195 Lbs6 ft12.50366,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colton HargroveMark OlverZac Leslie40122
2Christian JarosTyler GaudetViktor Loov30122
3Colton HargroveMark OlverTyler Gaudet20122
4Kenney MorrisonAdam PardySimon Bourque10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vincent LoVerdeAdam Pardy40122
2Kenney MorrisonSimon Bourque30122
3Zac LeslieChristian Jaros20122
4Viktor LoovVincent LoVerde10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Colton HargroveMark OlverZac Leslie60122
2Christian JarosTyler GaudetViktor Loov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vincent LoVerdeAdam Pardy60122
2Kenney MorrisonSimon Bourque40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark OlverColton Hargrove60122
2Tyler Gaudet40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vincent LoVerdeAdam Pardy60122
2Kenney MorrisonSimon Bourque40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mark Olver60122Vincent LoVerdeAdam Pardy60122
2Colton Hargrove40122Kenney MorrisonSimon Bourque40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mark OlverColton Hargrove60122
2Tyler Gaudet40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Vincent LoVerdeAdam Pardy60122
2Kenney MorrisonSimon Bourque40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colton HargroveMark OlverZac LeslieVincent LoVerdeAdam Pardy
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Colton HargroveMark OlverZac LeslieVincent LoVerdeAdam Pardy
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Gaudet, Mark Olver, Colton HargroveTyler Gaudet, Mark OlverColton Hargrove
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zac Leslie, Christian Jaros, Viktor LoovZac LeslieChristian Jaros, Viktor Loov
Tirs de Pénalité
Mark Olver, Colton Hargrove, Tyler Gaudet, ,
Gardien
#1 : , #2 : C.J. Motte


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
1Americans40400000415-112020000036-32020000019-800.0004711005461493476285475821811943576715320.00%26484.62%0768199338.53%822236134.82%422115836.44%157210842133561870398
2Bears61500000923-143120000069-330300000314-1120.16791524105461493113628547582181874510111636513.89%34682.35%0768199338.53%822236134.82%422115836.44%157210842133561870398
3Bruins1019000001842-24514000001220-850500000622-1620.10018325001546149321362854758218355908718151917.65%39489.74%0768199338.53%822236134.82%422115836.44%157210842133561870398
4Checkers8610100035211443100000191094300100016115140.875355994005461493308628547582182205154194341132.35%27774.07%0768199338.53%822236134.82%422115836.44%157210842133561870398
5Comets412000011117-6210000018802020000039-630.375111930005461493846285475821814345408018633.33%17476.47%0768199338.53%822236134.82%422115836.44%157210842133561870398
6Crunch21000010532100000104311100000010141.000571201546149351628547582185914193412325.00%7185.71%1768199338.53%822236134.82%422115836.44%157210842133561870398
7Devils40400000311-82020000035-22020000006-600.000358005461493876285475821811746397330310.00%17288.24%0768199338.53%822236134.82%422115836.44%157210842133561870398
8Marlies220000001192110000006511100000054141.0001121320054614938862854758218952025544125.00%9188.89%0768199338.53%822236134.82%422115836.44%157210842133561870398
9Penguins60600000729-2230300000315-1230300000414-1000.0007111800546149311162854758218181418010033412.12%381073.68%0768199338.53%822236134.82%422115836.44%157210842133561870398
10Phantoms60600000528-2330300000212-1030300000316-1300.000591400546149390628547582182066187894025.00%32778.13%0768199338.53%822236134.82%422115836.44%157210842133561870398
11Rocket20200000315-121010000016-51010000029-700.00035800546149331628547582181114520424125.00%9277.78%0768199338.53%822236134.82%422115836.44%157210842133561870398
12Senators211000004311010000012-11100000031220.50048120054614932562854758218461813261000.00%40100.00%0768199338.53%822236134.82%422115836.44%157210842133561870398
13Sound Tigers1028000001844-2651400000922-1351400000922-1340.2001828462054614931966285475821831976116159531018.87%521080.77%1768199338.53%822236134.82%422115836.44%157210842133561870398
14Thunderbirds1045001003340-75220010017170523000001623-790.45033568901546149332562854758218383136105250551120.00%39782.05%1768199338.53%822236134.82%422115836.44%157210842133561870398
Total76195301111166300-1343810250011194140-46389280100072160-88440.289166282448335461493176962854758218254173184314653956917.47%3506581.43%3768199338.53%822236134.82%422115836.44%157210842133561870398
_Since Last GM Reset76195301111166300-1343810250011194140-46389280100072160-88440.289166282448335461493176962854758218254173184314653956917.47%3506581.43%3768199338.53%822236134.82%422115836.44%157210842133561870398
_Vs Conference466390001069183-11423319000104088-4823320000002995-66140.152691151843254614938866285475821814703915427782653613.58%2234082.06%2768199338.53%822236134.82%422115836.44%157210842133561870398
_Vs Division322180000078127-491619000004459-151619000003468-3440.063781362140354614937806285475821811683663266541512818.54%1331985.71%2768199338.53%822236134.82%422115836.44%157210842133561870398

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
7644L416628244817692541731843146533
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7619531111166300
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
381025011194140
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
38928100072160
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
3956917.47%3506581.43%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
628547582185461493
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
768199338.53%822236134.82%422115836.44%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
157210842133561870398


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 - 2018-09-074Bruins6Wolf Pack4LSommaire du Match
5 - 2018-09-0924Rocket6Wolf Pack1LSommaire du Match
8 - 2018-09-1229Wolf Pack0Devils3LSommaire du Match
10 - 2018-09-1436Bruins6Wolf Pack2LSommaire du Match
11 - 2018-09-1551Wolf Pack2Bruins5LSommaire du Match
15 - 2018-09-1967Wolf Pack2Rocket9LSommaire du Match
17 - 2018-09-2171Wolf Pack3Senators1WSommaire du Match
18 - 2018-09-2283Wolf Pack5Marlies4WSommaire du Match
22 - 2018-09-26103Phantoms6Wolf Pack1LSommaire du Match
25 - 2018-09-29126Sound Tigers6Wolf Pack0LSommaire du Match
26 - 2018-09-30132Wolf Pack3Thunderbirds7LSommaire du Match
31 - 2018-10-05143Wolf Pack2Penguins4LSommaire du Match
32 - 2018-10-06161Wolf Pack1Penguins2LSommaire du Match
33 - 2018-10-07168Wolf Pack1Bears3LSommaire du Match
38 - 2018-10-12181Wolf Pack1Comets5LSommaire du Match
39 - 2018-10-13193Penguins4Wolf Pack1LSommaire du Match
43 - 2018-10-17215Sound Tigers2Wolf Pack3WSommaire du Match
46 - 2018-10-20237Comets5Wolf Pack4LXXSommaire du Match
47 - 2018-10-21249Americans2Wolf Pack1LSommaire du Match
50 - 2018-10-24257Bruins0Wolf Pack2WSommaire du Match
52 - 2018-10-26264Wolf Pack3Sound Tigers5LSommaire du Match
53 - 2018-10-27285Sound Tigers4Wolf Pack1LSommaire du Match
60 - 2018-11-03321Checkers3Wolf Pack2LSommaire du Match
64 - 2018-11-07340Wolf Pack2Sound Tigers4LSommaire du Match
66 - 2018-11-09355Checkers3Wolf Pack9WSommaire du Match
67 - 2018-11-10364Wolf Pack0Bears6LSommaire du Match
72 - 2018-11-15390Wolf Pack5Checkers3WSommaire du Match
74 - 2018-11-17402Wolf Pack4Checkers3WXSommaire du Match
78 - 2018-11-21424Bruins5Wolf Pack3LSommaire du Match
80 - 2018-11-23437Wolf Pack0Americans4LSommaire du Match
81 - 2018-11-24453Wolf Pack1Americans5LSommaire du Match
86 - 2018-11-29471Wolf Pack1Sound Tigers7LSommaire du Match
88 - 2018-12-01487Sound Tigers4Wolf Pack2LSommaire du Match
89 - 2018-12-02499Thunderbirds3Wolf Pack5WSommaire du Match
94 - 2018-12-07523Thunderbirds5Wolf Pack3LSommaire du Match
95 - 2018-12-08533Phantoms2Wolf Pack0LSommaire du Match
96 - 2018-12-09546Wolf Pack1Bruins3LSommaire du Match
101 - 2018-12-14565Wolf Pack1Bruins5LSommaire du Match
102 - 2018-12-15576Wolf Pack3Sound Tigers2WSommaire du Match
108 - 2018-12-21609Phantoms4Wolf Pack1LSommaire du Match
109 - 2018-12-22619Thunderbirds5Wolf Pack4LXSommaire du Match
110 - 2018-12-23634Wolf Pack1Bruins5LSommaire du Match
113 - 2018-12-26646Thunderbirds1Wolf Pack0LSommaire du Match
115 - 2018-12-28659Wolf Pack0Devils3LSommaire du Match
116 - 2018-12-29670Checkers2Wolf Pack4WSommaire du Match
122 - 2019-01-04687Wolf Pack3Thunderbirds6LSommaire du Match
123 - 2019-01-05701Americans4Wolf Pack2LSommaire du Match
126 - 2019-01-08712Sound Tigers6Wolf Pack3LSommaire du Match
129 - 2019-01-11726Crunch3Wolf Pack4WXXSommaire du Match
130 - 2019-01-12745Wolf Pack2Phantoms5LSommaire du Match
131 - 2019-01-13751Wolf Pack0Phantoms7LSommaire du Match
134 - 2019-01-16763Marlies5Wolf Pack6WSommaire du Match
137 - 2019-01-19780Wolf Pack0Sound Tigers4LSommaire du Match
138 - 2019-01-20793Penguins4Wolf Pack1LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25824Thunderbirds3Wolf Pack5WSommaire du Match
144 - 2019-01-26830Bruins3Wolf Pack1LSommaire du Match
145 - 2019-01-27842Wolf Pack1Bruins4LSommaire du Match
148 - 2019-01-30851Bears3Wolf Pack1LSommaire du Match
150 - 2019-02-01862Wolf Pack3Thunderbirds0WSommaire du Match
151 - 2019-02-02876Penguins7Wolf Pack1LSommaire du Match
157 - 2019-02-08903Wolf Pack1Penguins8LSommaire du Match
158 - 2019-02-09914Wolf Pack3Thunderbirds7LSommaire du Match
159 - 2019-02-10923Bears3Wolf Pack4WSommaire du Match
162 - 2019-02-13936Devils3Wolf Pack2LSommaire du Match
164 - 2019-02-15943Wolf Pack1Crunch0WSommaire du Match
165 - 2019-02-16957Wolf Pack2Comets4LSommaire du Match
172 - 2019-02-23995Wolf Pack4Checkers3WSommaire du Match
173 - 2019-02-241008Wolf Pack3Checkers2WSommaire du Match
178 - 2019-03-011033Checkers2Wolf Pack4WSommaire du Match
179 - 2019-03-021042Senators2Wolf Pack1LSommaire du Match
183 - 2019-03-061065Wolf Pack4Thunderbirds3WSommaire du Match
186 - 2019-03-091088Comets3Wolf Pack4WSommaire du Match
187 - 2019-03-101098Devils2Wolf Pack1LSommaire du Match
192 - 2019-03-151122Bears3Wolf Pack1LSommaire du Match
193 - 2019-03-161133Wolf Pack1Phantoms4LSommaire du Match
194 - 2019-03-171146Wolf Pack2Bears5LSommaire du Match



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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,288,965$ 41,000$ 33,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 37,405$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 727$ 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
1376195301111166300-1343810250011194140-46389280100072160-8844166282448335461493176962854758218254173184314653956917.47%3506581.43%3768199338.53%822236134.82%422115836.44%157210842133561870398
Total Saison Régulière76195301111166300-1343810250011194140-46389280100072160-8844166282448335461493176962854758218254173184314653956917.47%3506581.43%3768199338.53%822236134.82%422115836.44%157210842133561870398