Hartford Wolf Pack

GP: 14 | W: 13 | L: 1 | OTL: 0 | P: 26
GF: 90 | GA: 45 | PP%: 37.84% | PK%: 81.58%
DG: Alain Moro | Morale : 63 | 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
1Tyler Graovac (A)X100.008281857281747765806165706249496857640
2Michael Rasmussen (R)XX100.007955867285627374386364642551516739630
3Chandler StephensonXX100.006742997973628655505958762560626567630
4Kalle KossilaXXX100.007264896964727465806264646146466767610
5Patrick RussellXX100.007775826275767963505964656144446568610
6Philippe Maillet (R)X100.007366906366788264806461645844446664610
7Karson Kuhlman (R)XX100.006541936566627560256470662545456864600
8Gemel SmithXX100.007142997268527154445662722555556568600
9Michael SpacekX100.007367876767818857715951624844446168590
10Jordan Kyrou (R)XX100.005740918165557756266157572545456164580
11Nicholas Caamano (R)X100.007272715972788454504756615344445969570
12Sam VigneaultX100.008078846578697453665546644444445766570
13Scott EansorXX100.006861846861636651644157585444445865540
14Rasmus AnderssonX100.006953907977699063255748632554546170640
15Anthony Bitetto (A)X100.008746897077595656254847607561625867600
16Jake DotchinX100.009279497280586152254547622556565664600
17Sami NikuX100.006141977566648157255048612546465867590
18Mitch Reinke (R)X100.007466916666697258255249634744445962590
19Josh Mahura (R)X100.006341916665657560255948592545455864580
Rayé
1Troy Josephs (R)X100.007668936268515151645444624244445446530
MOYENNE D'ÉQUIPE100.00735987697166755847565564424848626360
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
1Kevin Boyle97.00597088785861526256553044445965590
2Adam Huska (R)100.00455063884244505245463044444764510
Rayé
MOYENNE D'ÉQUIPE98.5052607683505351575151304444536555
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Willie Desjardins84695781735370CAN583600,000$


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
1Tyler GraovacHartford Wolf Pack (NYR)C14132033103230312484223515.48%626118.662689270113153060.74%298155012.5311042210
2Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW141019291260131453203318.87%1426619.06549828000063272.22%18154002.1701000204
3Philippe MailletHartford Wolf Pack (NYR)C141113241340282857152419.30%827119.431348211014340161.31%305811021.7700000221
4Karson KuhlmanHartford Wolf Pack (NYR)C/RW1471421124081141143317.07%1224017.17224326000001138.46%1394011.7500000110
5Chandler StephensonHartford Wolf Pack (NYR)C/LW14129211000152352152823.08%1025818.46000000112341135.29%171511001.6200000121
6Jordan KyrouHartford Wolf Pack (NYR)C/RW145914130051326132219.23%818413.1600003000042039.13%23125001.5200000010
7Patrick RussellHartford Wolf Pack (NYR)LW/RW14113149115151645142624.44%318313.112025170001130144.44%9138001.5311001111
8Gemel SmithHartford Wolf Pack (NYR)C/LW147512955112034102720.59%1323616.920110201013171066.67%15119001.0100001010
9Michael SpacekHartford Wolf Pack (NYR)C14471110751715213619.05%616511.8200000000000058.33%8430001.3300001100
10Mitch ReinkeHartford Wolf Pack (NYR)D1401111113420727174100.00%1530922.10011017022034000.00%0213000.7100121001
11Michael RasmussenHartford Wolf Pack (NYR)C/RW4549620731551033.33%17017.7421343000000120.00%540002.5400000011
12Rasmus AnderssonHartford Wolf Pack (NYR)D1417812951115291573.45%1530421.76000232000115100.00%076000.5300100001
13Josh MahuraHartford Wolf Pack (NYR)D1405582051218140.00%1726719.1101123100003000.00%0111000.3700000000
14Sami NikuHartford Wolf Pack (NYR)D14055400322131100.00%2328020.03000017000025000.00%017000.3600000000
15Nicholas CaamanoHartford Wolf Pack (NYR)RW14235317157101751011.76%41218.7000000000000028.57%736000.8200102000
16Jake DotchinHartford Wolf Pack (NYR)D1402282002287440.00%1719914.2200000000026000.00%016000.2000000001
17Scott EansorHartford Wolf Pack (NYR)C/LW100221403419680.00%1848.480000000000000.00%051000.4700000000
18Anthony BitettoHartford Wolf Pack (NYR)D140118401094450.00%1119513.9800003000021000.00%020000.1000000000
19Sam VigneaultHartford Wolf Pack (NYR)C141011291514713187.69%51168.3000000000000051.02%4922000.1700012000
Stats d'équipe Total ou en Moyenne2528913922816019010023228156517231015.75%189401915.95141933412522461425512758.36%843129109041.13233710101011
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
1Kevin BoyleHartford Wolf Pack (NYR)1312100.9242.847834037488304201.0002130021
2Adam HuskaHartford Wolf Pack (NYR)11000.8057.87610084126000.0000114000
Stats d'équipe Total ou en Moyenne1413100.9153.208444045529330201.00021414021


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 HuskaHartford Wolf Pack (NYR)G211997-05-12Yes220 Lbs6 ft4NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Anthony BitettoHartford Wolf Pack (NYR)D271990-07-14No210 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Chandler StephensonHartford Wolf Pack (NYR)C/LW241994-04-22No203 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm1,050,000$0$0$NoLien
Gemel SmithHartford Wolf Pack (NYR)C/LW241994-04-16No190 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Jake DotchinHartford Wolf Pack (NYR)D241994-03-24No210 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm700,000$0$0$NoLien
Jordan KyrouHartford Wolf Pack (NYR)C/RW201998-05-05Yes175 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm875,000$0$0$NoLien
Josh MahuraHartford Wolf Pack (NYR)D201998-05-05Yes178 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm875,000$0$0$NoLien
Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW251993-04-14No175 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Karson KuhlmanHartford Wolf Pack (NYR)C/RW221995-09-26Yes180 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm750,000$0$0$NoLien
Kevin BoyleHartford Wolf Pack (NYR)G261992-05-29No200 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm675,000$0$0$NoLien
Michael RasmussenHartford Wolf Pack (NYR)C/RW191999-04-17Yes220 Lbs6 ft6NoNoNo2Contrat d'EntréePro & Farm894,166$0$0$NoLien
Michael SpacekHartford Wolf Pack (NYR)C211997-04-09No187 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm850,000$0$0$NoLien
Mitch ReinkeHartford Wolf Pack (NYR)D221996-02-04Yes181 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Nicholas CaamanoHartford Wolf Pack (NYR)RW191998-10-07Yes194 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm738,333$0$0$NoLien
Patrick RussellHartford Wolf Pack (NYR)LW/RW251993-01-03No205 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Philippe MailletHartford Wolf Pack (NYR)C251992-11-07Yes185 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm575,000$0$0$NoLien
Rasmus AnderssonHartford Wolf Pack (NYR)D211996-10-26No214 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm755,833$0$0$NoLien
Sam VigneaultHartford Wolf Pack (NYR)C221995-09-07No203 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Sami NikuHartford Wolf Pack (NYR)D211996-10-10No176 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm775,000$0$0$NoLien
Scott EansorHartford Wolf Pack (NYR)C/LW221996-01-03No174 Lbs5 ft9NoNoNo1Contrat d'EntréePro & Farm720,000$0$0$NoLien
Troy JosephsHartford Wolf Pack (NYR)C241994-05-09Yes183 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm575,000$0$0$NoLien
Tyler GraovacHartford Wolf Pack (NYR)C251993-04-26No212 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2222.68194 Lbs6 ft11.55768,561$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael RasmussenTyler GraovacKalle Kossila36023
2Chandler StephensonPhilippe MailletKarson Kuhlman34023
3Gemel SmithMichael SpacekJordan Kyrou20023
4Patrick RussellSam VigneaultNicholas Caamano10041
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus AnderssonMitch Reinke40023
2Josh MahuraSami Niku35023
3Anthony BitettoJake Dotchin25032
40122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kalle KossilaTyler GraovacKarson Kuhlman60014
2Gemel SmithPhilippe MailletMichael Rasmussen40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Rasmus AnderssonJosh Mahura60014
2Mitch ReinkeSami Niku40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Philippe MailletChandler Stephenson60041
2Tyler GraovacGemel Smith40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake DotchinMitch Reinke60041
2Anthony BitettoSami Niku40041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Philippe Maillet60041Jake DotchinMitch Reinke60041
2Tyler Graovac40041Anthony BitettoSami Niku40041
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael SpacekPatrick Russell60122
2Jordan KyrouNicholas Caamano40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony BitettoJake Dotchin60122
2Josh MahuraMitch Reinke40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kalle KossilaPhilippe MailletKarson KuhlmanRasmus AnderssonJosh Mahura
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Chandler StephensonTyler GraovacGemel SmithJake DotchinAnthony Bitetto
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jordan Kyrou, Michael Spacek, Michael RasmussenJordan Kyrou, Michael RasmussenPatrick Russell
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rasmus Andersson, Mitch Reinke, Sami NikuAnthony BitettoRasmus Andersson, Josh Mahura
Tirs de Pénalité
Kalle Kossila, Patrick Russell, Tyler Graovac, Philippe Maillet, Nicholas Caamano
Gardien
#1 : Kevin Boyle, #2 : Adam Huska


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
1Binghampton Senators11000000514000000000001100000051421.00059140027342733518518818873716111611100.00%30100.00%017329858.05%17029358.02%14925259.13%296167296123253130
2Hershey Bears330000002291322000000165111100000064261.00022355700273427311218518818871144025548112.50%50100.00%017329858.05%17029358.02%14925259.13%296167296123253130
3Laval Rockets1010000034-1000000000001010000034-100.00033600273427329185188188740148152150.00%4175.00%017329858.05%17029358.02%14925259.13%296167296123253130
4Manitoba Moose320000101688110000007252100001096361.0001623390027342731261851881887982846536233.33%80100.00%217329858.05%17029358.02%14925259.13%296167296123253130
5Rimouski Oceanic32001000301812210010001913611000000115661.000304575002734273139185188188714963635012650.00%9544.44%017329858.05%17029358.02%14925259.13%296167296123253130
Total14111010109045457600100051222975100010392316260.929901392290027342735651851881887529190196232371437.84%38781.58%217329858.05%17029358.02%14925259.13%296167296123253130
7Worcester Sharks330000001459220000009271100000053261.0001424380027342731241851881887912943448337.50%9188.89%017329858.05%17029358.02%14925259.13%296167296123253130
_Since Last GM Reset14111010109045457600100051222975100010392316260.929901392290027342735651851881887529190196232371437.84%38781.58%217329858.05%17029358.02%14925259.13%296167296123253130
_Vs Conference13101010108544417600100051222964100010342212240.923851302150027342735301851881887492174185216361336.11%35780.00%217329858.05%17029358.02%14925259.13%296167296123253130
_Vs Division41000101017982600100092724000010871243.000172744002734273153185188188713143515910440.00%13284.62%017329858.05%17029358.02%14925259.13%296167296123253130

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1426W19013922956552919019623200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1411110109045
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
76010005122
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
75100103923
Derniers 10 Matchs
WLOTWOTL SOWSOL
811000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
371437.84%38781.58%2
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
18518818872734273
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
17329858.05%17029358.02%14925259.13%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
296167296123253130


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 - 2019-09-224Rimouski Oceanic5Hartford Wolf Pack10WSommaire du Match
3 - 2019-09-2428Hartford Wolf Pack4Manitoba Moose3WXXSommaire du Match
4 - 2019-09-2543Hershey Bears4Hartford Wolf Pack6WSommaire du Match
5 - 2019-09-2660Worcester Sharks1Hartford Wolf Pack3WSommaire du Match
6 - 2019-09-2766Hartford Wolf Pack5Manitoba Moose3WSommaire du Match
8 - 2019-09-2992Worcester Sharks1Hartford Wolf Pack6WSommaire du Match
9 - 2019-09-30110Hartford Wolf Pack5Worcester Sharks3WSommaire du Match
10 - 2019-10-01115Hartford Wolf Pack11Rimouski Oceanic5WSommaire du Match
11 - 2019-10-02126Hartford Wolf Pack6Hershey Bears4WSommaire du Match
12 - 2019-10-03142Rimouski Oceanic8Hartford Wolf Pack9WXSommaire du Match
16 - 2019-10-07165Manitoba Moose2Hartford Wolf Pack7WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
18 - 2019-10-09185Hershey Bears1Hartford Wolf Pack10WSommaire du Match
19 - 2019-10-10198Hartford Wolf Pack3Laval Rockets4LSommaire du Match
20 - 2019-10-11207Hartford Wolf Pack5Binghampton Senators1WSommaire 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
0$ 1,690,833$ 1,690,833$ 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$ 1 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