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Wolf PackHartford
Wolf Pack
48-29-5, 101pts · 2nd in EST
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Rasmus Kupari0C100.0073388765807985677666656468636605071231,066,250$/2yrs
Peyton Krebs0C100.0061398473718591727071646073616305071221,275,833$/3yrs
Alex Chiasson0RW100.0065478463887986645862695663787405070321,875,000$/2yrs
Philip Tomasino0C100.0058348673687984716670635972616305070211,005,000$/3yrs
Emil Bemstrom0C100.0064379270737879677162685967636405069231,144,444$/3yrs
Joel Kiviranta0LW100.0075348467717682665763615867656805069271,587,500$/2yrs
Cole Perfetti0C100.0061369570688673697068636274626305069211,627,500$/3yrs
Alexander Holtz0RW100.0062379167739178655663645766616205068211,744,167$/4yrs
Carson Meyer0RW100.006139776469838563586265596365670506825887,500$/2yrs
Justin Brazeau0RW100.0084768955938076586059606357646605068251,000,000$/1yrs
Marco Rossi0C100.0057387168669186678065626173626305068211,713,333$/4yrs
Scott Sabourin0RW100.007682585687736958536557615870720506730897,500$/2yrs
Dylan Coghlan0D100.0065369366828685653070625954636505070251,668,750$/2yrs
Alexander Petrovic0D100.008071736290748861306054634870720506931750,000$/2yrs
Colton White0D100.006539886675847165306763605265670506925758,333$/3yrs
Alex Vlasic0D100.0065388363928468593061586553626405068211,491,667$/3yrs
Nils Lundkvist0D100.0062378667718284663065596350626405068221,775,000$/3yrs
Jake Christiansen0D100.006437836272838561306263546163650506723937,500$/2yrs
Scratches
Albin Grewe0LW100.007643835972707556535551625861660506422842,000$/1yrs
Felix Robert0C100.006137845861828859626061546063650506423916,667$/3yrs
Brayden Tracey0LW100.005937835870747657535655595761630506321863,333$/3yrs
Dillon Hamaliuk0LW100.007239745381677254515556575362640506322911,667$/3yrs
Nick Pastujov0C100.006638865475736053605256545564660506125750,000$/1yrs
Bryce Misley0LW100.006541735174636053505257555463650506023750,000$/1yrs
Cameron Crotty0D100.007139865781739256305554584563650506523925,000$/2yrs
Connor Corcoran0D100.006839796277786358305763595362640506522843,333$/2yrs
Tobie Paquette-Bisson0D100.007339845682678254305853574565670506426775,000$/2yrs
Xavier Bernard0D100.007539915484636052305350554562640506122925,000$/1yrs
Filter Tips
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
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Michael Dipietro0100.00747573767372747372747363690507423875,416$/2yrs
Brett Brochu0100.005965637058575958575958596105062201,950,000$/1yrs
Scratches
Mads Sogaard0100.00757778957473757473757462670507722925,000$/3yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kim St-Pierre75757575757575Can4450$
General Manager
Player Stats
Filter Tips
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
# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Peyton KrebsWolf PackWolf Pack (NYR)C8242621046280983578925811.76%1719.911418320001078250.53%001.27001.26
2Cole PerfettiWolf PackWolf Pack (NYR)C823356899120702877024411.50%3320.25822300222347044.26%001.09111.11
3Colton WhiteWolf PackWolf Pack (NYR)D82204161107351611275711515.75%12523.047714101201620.00%000.74000.66
4Alexander HoltzWolf PackWolf Pack (NYR)RW82223658230079221651639.95%1218.657132000024440.71%000.71000.70
5Emil BemstromWolf PackWolf Pack (NYR)C822731585100662657019210.19%1716.3466120221742151.30%100.71000.79
6Rasmus KupariWolf PackWolf Pack (NYR)C782035553380144251681647.97%1515.59213000450252.12%000.71000.74
7Nils LundkvistWolf PackWolf Pack (NYR)D7884755124011114331795.59%12521.5141418000173100.00%000.71000.68
8Dylan CoghlanWolf PackWolf Pack (NYR)D82104454946010914146827.09%12421.7541115000226200.00%000.66000.63
9Philip TomasinoWolf PackWolf Pack (NYR)C822529546160562495817110.04%2215.41022101661345.15%010.66000.73
10Alex ChiassonWolf PackWolf Pack (NYR)RW7925255052751232106213911.90%1417.42412160001874150.25%000.63010.69
11Alexander PetrovicWolf PackWolf Pack (NYR)D821432467143152971203810411.67%12922.3641317101197110.00%100.56000.41
12Carson MeyerWolf PackWolf Pack (NYR)RW8016304612160125222621587.21%2216.6739120001322038.97%300.58010.70
13Alex VlasicWolf PackWolf Pack (NYR)D7211344593005799406911.11%10720.40527011118110.00%000.63000.60
14Joel KivirantaWolf PackWolf Pack (NYR)LW821327408240117154581128.44%1513.39000000134140.96%000.49010.48
15Marco RossiWolf PackWolf Pack (NYR)C78101828141205211732828.55%98.0500000001150.25%000.36000.42
16Jake ChristiansenWolf PackWolf Pack (NYR)D826212712320866916508.70%5915.6614500049010.00%000.33000.34
17Justin BrazeauWolf PackWolf Pack (NYR)RW821472162006992336715.22%128.2500000004134.21%000.26000.30
18Cameron CrottyWolf PackWolf Pack (NYR)D682182094751133710225.41%7913.83000000118000.00%000.29000.26
19Scott SabourinWolf PackWolf Pack (NYR)RW7958136275865823488.62%46.5100000000045.45%000.16000.18
20Connor CorcoranWolf PackWolf Pack (NYR)D15033-7100209860.00%2615.440000002000.00%000.20000.03
Team Total or Average15293236049271326653520393228936232510.01%96616.606913420326613582051482148.37%761800510.7314
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mads SogaardWolf PackWolf Pack (NYR)40191150.9103.2121706111612850220.00003436330
2Michael DipietroWolf PackWolf Pack (NYR)52100.8983.5921700131270100.0000319010
Team Total or Average45211250.9093.2423876112914120320.00003755340
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Albin Grewe LW22842,000$842,000$ RFA
Alex Chiasson RW321,875,000$3,000,000$ 750,000$ UFA
Alex Vlasic D211,491,667$1,491,667$ 1,491,667$ 1,491,667$ RFA
Alexander Holtz RW211,744,167$1,744,167$ 1,744,167$ 1,744,167$ 1,744,167$ RFA
Alexander Petrovic D31750,000$750,000$ 750,000$ UFA
Brayden Tracey LW21863,333$863,333$ 863,333$ 863,333$ RFA
Brett Brochu G201,950,000$1,950,000$ RFA
Bryce Misley LW23750,000$750,000$ RFA
Cameron Crotty D23925,000$925,000$ 925,000$ RFA
Carson Meyer RW25887,500$1,025,000$ 750,000$ UFA
Cole Perfetti C211,627,500$1,627,500$ 1,627,500$ 1,627,500$ RFA
Colton White D25758,333$750,000$ 762,500$ 762,500$ UFA
Connor Corcoran D22843,333$873,333$ 813,333$ RFA
Dillon Hamaliuk LW22911,667$925,000$ 905,000$ 905,000$ RFA
Dylan Coghlan D251,668,750$2,575,000$ 762,500$ UFA
Emil Bemstrom C231,144,444$1,633,333$ 900,000$ 900,000$ RFA
Felix Robert C23916,667$850,000$ 950,000$ 950,000$ RFA
Jake Christiansen D23937,500$950,000$ 925,000$ RFA
Joel Kiviranta LW271,587,500$2,125,000$ 1,050,000$ UFA
Justin Brazeau RW251,000,000$1,000,000$ RFA
Mads Sogaard G22925,000$925,000$ 925,000$ 925,000$ RFA
Marco Rossi C211,713,333$1,713,333$ 1,713,333$ 1,713,333$ 1,713,333$ RFA
Michael Dipietro G23875,416$910,833$ 840,000$ RFA
Nick Pastujov C25750,000$750,000$ RFA
Nils Lundkvist D221,775,000$1,775,000$ 1,775,000$ 1,775,000$ RFA
Peyton Krebs C221,275,833$1,275,833$ 1,275,833$ 1,275,833$ RFA
Philip Tomasino C211,005,000$1,005,000$ 1,005,000$ 1,005,000$ RFA
Rasmus Kupari C231,066,250$1,081,667$ 1,050,833$ RFA
Scott Sabourin RW30897,500$1,045,000$ 750,000$ UFA
Tobie Paquette-Bisson D26775,000$800,000$ 750,000$ UFA
Xavier Bernard D22925,000$925,000$ RFA

Lines
Forward Lines


# - Peyton Krebs


# - Carson Meyer


# - Alexander Holtz


# - Cole Perfetti


# - Joel Kiviranta


# - Philip Tomasino


# - Alex Chiasson


# - Emil Bemstrom


# - Justin Brazeau


# - Justin Brazeau


# - Joel Kiviranta


# - Scott Sabourin

Defensive Pairings


# - Nils Lundkvist


# - Colton White


# - Alexander Petrovic


# - Alex Vlasic


# - Jake Christiansen


# - Dylan Coghlan

1st Power Play Unit


# - Alex Chiasson


# - Emil Bemstrom


# - Joel Kiviranta


# - Nils Lundkvist


# - Colton White

2nd Power Play Unit


# - Cole Perfetti


# - Peyton Krebs


# - Alexander Holtz


# - Alexander Petrovic


# - Jake Christiansen

Goalies


# - Michael Dipietro


# - Brett Brochu

Team Stats
Filter Tips
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1Wolf PackCheckers2100010076130.75071320001091139048410781001103017751726456116.67%9366.67%01525316248.23%1523307349.56%637134947.22%195013491937603105652666.7%8.3%92.0%100.3DULL
2Wolf PackMarlies320001001310350.833132639001091139041251078100110301710636186212216.67%90100.00%11525316248.23%1523307349.56%637134947.22%195013491937603105652652.4%10.4%90.6%101.0FUN
3Wolf PackAmericans21100000128420.5001224360010911390474107810011030176728235911545.45%8450.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652663.6%16.2%88.1%104.3FUN
4Wolf PackBinghamton Senateurs20200000713-600.0007132000109113904901078100110301772281851700.00%9277.78%01525316248.23%1523307349.56%637134947.22%195013491937603105652638.9%7.8%81.9%89.7Unlucky
5Wolf PackBears642000002620680.6672642680010911390425010781001103017182544717022522.73%20290.00%11525316248.23%1523307349.56%637134947.22%195013491937603105652653.8%10.4%89.0%99.4FUN
6Wolf PackRockets2100001052341.0005813011091139045510781001103017892422476116.67%110100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652666.7%9.1%97.8%106.8LUCKY
7Wolf PackProvidence Bruins3210000088040.66781422001091139041061078100110301710130286513215.38%14285.71%01525316248.23%1523307349.56%637134947.22%195013491937603105652650.0%7.5%92.1%99.6DULL
8Wolf PackWolves623001002023-350.4172036560010911390422810781001103017250624417121419.05%18666.67%01525316248.23%1523307349.56%637134947.22%195013491937603105652648.5%8.8%90.8%99.6Unlucky
9Wolf PackEagles1100000031221.00035800109113904291078100110301731111023300.00%50100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652675.0%10.3%96.8%107.1LUCKY
10Wolf PackPhantoms623001002123-250.4172139601010911390421910781001103017225705512818527.78%24579.17%01525316248.23%1523307349.56%637134947.22%195013491937603105652647.1%9.6%89.8%99.4FUN
11Wolf Packislanders733010002823580.571285179001091139042871078100110301721678581582528.00%28678.57%01525316248.23%1523307349.56%637134947.22%195013491937603105652660.5%9.8%89.4%99.1FUN
12Wolf PackIceHogs1010000026-400.00023500109113904271078100110301748101023500.00%5260.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652633.3%7.4%87.5%94.9Unlucky
13Wolf PackGriffins2100100085341.0008142200109113904701078100110301767256398337.50%30100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652650.0%11.4%92.5%104.0LUCKY
14Wolf PackMonsters642000002519680.6672541661010911390423710781001103017190593413819526.32%14378.57%11525316248.23%1523307349.56%637134947.22%195013491937603105652655.6%10.5%90.0%100.5FUN
15Wolf PackBarracuda1100000021121.000246001091139043510781001103017421610254125.00%50100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652650.0%5.7%97.6%103.3DULL
16Wolf PackCondors1100000021121.00024600109113904501078100110301731114313133.33%20100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652650.0%4.0%96.8%100.8DULL
17Wolf PackIowa Wild1000100054121.00051015001091139043110781001103017369232511100.00%4175.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652657.1%16.1%88.9%105.0FUN
18Wolf PackReign2200000092741.00091827001091139046310781001103017771923604125.00%60100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652680.0%14.3%97.4%111.7LUCKY
19Wolf PackThunderbirds2110000088020.50081321001091139045010781001103017852710387228.57%5180.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652646.2%16.0%90.6%106.6FUN
20Wolf PackWranglers1010000024-200.00024600109113904341078100110301752101018500.00%5180.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652640.0%5.9%92.3%98.2DULL
21Wolf PackGulls1100000052321.00059140010911390455107810011030173711226300.00%10100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652671.4%9.1%94.6%103.7LUCKY
22Wolf PackTexas Stars1010000036-300.00035800109113904391078100110301745218305120.00%4250.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652633.3%7.7%86.7%94.4Unlucky
23Wolf PackCanucks1000010056-110.500591400109113904251078100110301735148195360.00%4175.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652628.6%20.0%82.9%102.9FUN
24Wolf PackComets9540000035305100.5563561960010911390435410781001103017338727119633824.24%30583.33%01525316248.23%1523307349.56%637134947.22%195013491937603105652651.9%9.9%91.1%101.0Unlucky
25Wolf PackW-B/Scranton Penguins633000002625160.5002649750010911390426210781001103017198645515724520.83%22863.64%01525316248.23%1523307349.56%637134947.22%195013491937603105652655.3%9.9%87.4%97.3FUN
26Wolf PackRoadrunners1100000042221.00047110010911390436107810011030174211419100.00%20100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652666.7%11.1%95.2%106.3LUCKY
27Wolf PackCrunch2200000064241.0006101600109113904661078100110301750166417228.57%30100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652650.0%9.1%92.0%101.1LUCKY
28Wolf PackAdmirals1100000065121.000612180010911390443107810011030173464245120.00%2150.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652655.6%14.0%85.3%99.2FUN
29Wolf PackMoose1100000053221.0005101500109113904311078100110301741176325120.00%2150.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652666.7%16.1%92.7%108.8LUCKY
30Wolf PackSilver Knights1010000035-200.00036900109113904231078100110301732124174250.00%20100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652616.7%13.0%84.4%97.4FUN
31Wolf PackFirebirds1100000053221.000591400109113904441078100110301736912205120.00%50100.00%01525316248.23%1523307349.56%637134947.22%195013491937603105652657.1%11.4%91.7%103.0LUCKY
_Vs Division4623200120018116318500.54318131950020109113904183710781001103017159945936411181623420.99%1563577.56%21525316248.23%1523307349.56%637134947.22%195013491937603105652653.5%9.9%89.8%99.7FUN
_Vs Conference6433240241024721928760.59424744168821109113904250710781001103017222666351115272325021.55%2224679.28%31525316248.23%1523307349.56%637134947.22%195013491937603105652653.2%9.9%90.2%100.0FUN
_Since Last GM Reset82442903510316278381010.61631656988521109113904312210781001103017293087765919572976521.89%2815680.07%31525316248.23%1523307349.56%637134947.22%195013491937603105652653.1%10.1%90.5%100.6FUN
Total82442903510316278381010.61631656988521109113904312210781001103017293087765919572976521.89%2815680.07%31525316248.23%1523307349.56%637134947.22%195013491937603105652653.1%10.1%90.5%100.6FUN

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 23
Puck Time
Offensive Zone Start 3162
Neutral Zone Start 1349
Defensive Zone Start 3073
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 3685
Faceoffs Lost 3899
Team Average Shots after League Average Shots after
1st Period 13.19.57
2nd Period 25.420.31
3rd Period 37.930.68
Overtime 38.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.30.64
2nd Period 2.71.65
3rd Period 3.82.67
Overtime 3.92.83
Even Strenght Goal 246
PP Goal 65
PK Goal 3
Empty Net Goal 2
Home Away
Win 2820
Lost 1316
Overtime Lost 05
PP Attempt 297
PP Goal 65
PK Attempt 281
PK Goal Against 56
Home
Shots For 38.1
Shots Against 35.7
Goals For 3.9
Goals Against 3.4
Hits 23.9
Shots Blocked 10.7
Pim 8.0
Schedule
DateMatchup Result Detail
Wed, Oct 19Wolf PackBRI@Wolf PackHARBRI4,HAR6RECAP
Thu, Oct 20Wolf PackUTI@Wolf PackHARUTI1,HAR4RECAP
Sat, Oct 22Wolf PackHAR@Wolf PackCLEHAR5,CLE3RECAP
Mon, Oct 24Wolf PackHAR@Wolf PackHERHAR5,HER1RECAP
Thu, Oct 27Wolf PackUTI@Wolf PackHARUTI3,HAR6RECAP
Sun, Oct 30Wolf PackHAR@Wolf PackUTIHAR7,UTI2RECAP
Tue, Nov 1Wolf PackHER@Wolf PackHARHER4,HAR3RECAP
Sat, Nov 5Wolf PackHAR@Wolf PackBRIHAR1,BRI4RECAP
Sun, Nov 6Wolf PackCLE@Wolf PackHARCLE5,HAR4RECAP
Tue, Nov 8Wolf PackHAR@Wolf PackUTIHAR3,UTI2RECAP
Thu, Nov 10Wolf PackHAR@Wolf PackCHWHAR6,CHW7 (OT)RECAP
Sat, Nov 12Wolf PackWBS@Wolf PackHARWBS3,HAR5RECAP
Mon, Nov 14Wolf PackHAR@Wolf PackLEVHAR3,LEV5RECAP
Wed, Nov 16Wolf PackHAR@Wolf PackWBSHAR4,WBS6RECAP
Fri, Nov 18Wolf PackLEV@Wolf PackHARLEV4,HAR7RECAP
Mon, Nov 21Wolf PackBRI@Wolf PackHARBRI2,HAR1RECAP
Wed, Nov 23Wolf PackHAR@Wolf PackLEVHAR3,LEV4 (OT)RECAP
Thu, Nov 24Wolf PackHAR@Wolf PackMILHAR6,MIL5RECAP
Fri, Nov 25Wolf PackMAR@Wolf PackHARMAR2,HAR5RECAP
Tue, Nov 29Wolf PackCLE@Wolf PackHARCLE1,HAR5RECAP
Thu, Dec 1Wolf PackHAR@Wolf PackBRIHAR5,BRI6RECAP
Sat, Dec 3Wolf PackHAR@Wolf PackPROHAR1,PRO3RECAP
Mon, Dec 5Wolf PackHAR@Wolf PackROCHAR7,ROC2RECAP
Tue, Dec 6Wolf PackLEV@Wolf PackHARLEV2,HAR0RECAP
Fri, Dec 9Wolf PackHER@Wolf PackHARHER4,HAR5RECAP
Mon, Dec 12Wolf PackHAR@Wolf PackLEVHAR3,LEV4RECAP
Wed, Dec 14Wolf PackHAR@Wolf PackWBSHAR3,WBS6RECAP
Thu, Dec 15Wolf PackCHW@Wolf PackHARCHW2,HAR3RECAP
Sat, Dec 17Wolf PackHAR@Wolf PackWBSHAR6,WBS3RECAP
Mon, Dec 19Wolf PackHAR@Wolf PackCHWHAR2,CHW3RECAP
Tue, Dec 20Wolf PackRFD@Wolf PackHARRFD6,HAR2RECAP
Thu, Dec 22Wolf PackHAR@Wolf PackWRAHAR2,WRA4RECAP
Sat, Dec 24Wolf PackCHA@Wolf PackHARCHA3,HAR5RECAP
Tue, Dec 27Wolf PackHAR@Wolf PackSYRHAR4,SYR3RECAP
Thu, Dec 29Wolf PackHAR@Wolf PackUTIHAR4,UTI5RECAP
Sat, Dec 31Wolf PackFCV@Wolf PackHARFCV3,HAR5RECAP
Mon, Jan 2Wolf PackHAR@Wolf PackUTIHAR2,UTI5RECAP
Wed, Jan 4Wolf PackPRO@Wolf PackHARPRO2,HAR3RECAP
Sun, Jan 8Wolf PackHAR@Wolf PackONTHAR6,ONT1RECAP
Tue, Jan 10Wolf PackSDG@Wolf PackHARSDG2,HAR5RECAP
Thu, Jan 12Wolf PackHAR@Wolf PackLVLHAR3,LVL2 (SO)RECAP
Sat, Jan 14Wolf PackUTI@Wolf PackHARUTI6,HAR4RECAP
Sun, Jan 15Wolf PackHAR@Wolf PackUTIHAR2,UTI4RECAP
Tue, Jan 17Wolf PackGRG@Wolf PackHARGRG3,HAR4 (OT)RECAP
Thu, Jan 19Wolf PackHAR@Wolf PackPROHAR4,PRO3RECAP
Sun, Jan 22Wolf PackMAN@Wolf PackHARMAN3,HAR5RECAP
Tue, Jan 24Wolf PackHAR@Wolf PackTUCHAR4,TUC2RECAP
Wed, Jan 25Wolf PackUTI@Wolf PackHARUTI2,HAR3RECAP
Fri, Jan 27Wolf PackHAR@Wolf PackBNGHAR4,BNG7RECAP
Sat, Jan 28Wolf PackHAR@Wolf PackHERHAR2,HER6RECAP
Mon, Jan 30Wolf PackBNG@Wolf PackHARBNG6,HAR3RECAP
Wed, Feb 1Wolf PackWBS@Wolf PackHARWBS3,HAR6RECAP
Sun, Feb 5Wolf PackHAR@Wolf PackBRIHAR5,BRI2RECAP
Mon, Feb 6Wolf PackLEV@Wolf PackHARLEV4,HAR5RECAP
Fri, Feb 10Wolf PackHAR@Wolf PackHERHAR7,HER3RECAP
Sat, Feb 11Wolf PackCHW@Wolf PackHARCHW1,HAR3RECAP
Tue, Feb 14Wolf PackHAR@Wolf PackCHWHAR3,CHW5RECAP
Wed, Feb 15Wolf PackBAK@Wolf PackHARBAK1,HAR2RECAP
Mon, Feb 20Wolf PackSYR@Wolf PackHARSYR1,HAR2RECAP
Thu, Feb 23Wolf PackHAR@Wolf PackABBHAR5,ABB6 (OT)RECAP
Fri, Feb 24Wolf PackHEN@Wolf PackHARHEN5,HAR3RECAP
Wed, Mar 1Wolf PackWBS@Wolf PackHARWBS4,HAR2RECAP
Sat, Mar 4Wolf PackHAR@Wolf PackEAGHAR3,EAG1RECAP
Sun, Mar 5Wolf PackROC@Wolf PackHARROC6,HAR5RECAP
Fri, Mar 10Wolf PackBRI@Wolf PackHARBRI4,HAR5 (OT)RECAP
Trade Deadline --- Trades can’t be done after this day is simulated!
Mon, Mar 13Wolf PackBRI@Wolf PackHARBRI1,HAR5RECAP
Wed, Mar 15Wolf PackHAR@Wolf PackSPRHAR4,SPR3RECAP
Thu, Mar 16Wolf PackHAR@Wolf PackGRGHAR4,GRG2RECAP
Fri, Mar 17Wolf PackMAR@Wolf PackHARMAR3,HAR4RECAP
Wed, Mar 22Wolf PackHER@Wolf PackHARHER2,HAR4RECAP
Thu, Mar 23Wolf PackHAR@Wolf PackCLEHAR2,CLE1RECAP
Mon, Mar 27Wolf PackCLE@Wolf PackHARCLE5,HAR3RECAP
Wed, Mar 29Wolf PackHAR@Wolf PackMARHAR4,MAR5 (OT)RECAP
Thu, Mar 30Wolf PackONT@Wolf PackHARONT1,HAR3RECAP
Fri, Mar 31Wolf PackHAR@Wolf PackCHAHAR2,CHA3 (OT)RECAP
Tue, Apr 4Wolf PackHAR@Wolf PackSPRHAR4,SPR5RECAP
Wed, Apr 5Wolf PackLVL@Wolf PackHARLVL0,HAR2RECAP
Sun, Apr 9Wolf PackCHW@Wolf PackHARCHW5,HAR3RECAP
Wed, Apr 12Wolf PackTEX@Wolf PackHARTEX6,HAR3RECAP
Fri, Apr 14Wolf PackHAR@Wolf PackSJBHAR2,SJB1RECAP
Sat, Apr 15Wolf PackIOW@Wolf PackHARIOW4,HAR5 (OT)RECAP
Sun, Apr 16Wolf PackHAR@Wolf PackCLEHAR6,CLE4RECAP

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,885,699$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityHartford
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price25$15$$$$
Attendance7985338565
Attendance PCT97.38%94.06%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2888 - 96.27% 93,572$3,836,450$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,885,699$ 3,545,768$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
663,468$ 0$ 659,976$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 20,891$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Iowa Wild41-34-7, 89pts45Final
Wolf Pack48-29-5, 101pts

Wolf Pack48-29-5, 101pts64Final
Monsters39-37-6, 84pts

Wolf Pack48-29-5, 101ptsMon, Apr 17
Monsters39-37-6, 84pts

Comets41-34-7, 89ptsFri, Oct 21
Wolf Pack48-29-5, 101pts

Wolf Pack48-29-5, 101ptsSun, Oct 23
Monsters39-37-6, 84pts

TRANSACTIONS



 

Team Info

Wolf Pack
Head CoachKim St-Pierre
DivisionMETROPOLITAINE
CityHartford
Stadium Capacity3,000

Wolf Pack Affiliation

Wolf Pack
General ManagerHugo Vincent
Head CoachGérard Gallant
StadiumMadison Square Garden
Capacity17,000

Team Leaders


GOALS
Peyton Krebs
Wolf PackWolf Pack
42
GOALS
POINTS
Peyton Krebs
Wolf PackWolf Pack
104
POINTS
WINS
Keith Kinkaid
Wolf PackWolf Pack
27
WINS
Expanded Player Leaderboard

Team Stats


Goals For
316
3.85 GFG
Goals Against
278
3.39 GAA
Power Play Percentage
21.9%
65 GF
Penalty Kill Percentage
80.1%
56 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain