Hartford Wolf Pack
GP: 65 | W: 38 | L: 23 | OTL: 4 | P: 80
GF: 298 | GA: 257 | PP%: 37.04% | PK%: 73.03%
GM : Alain Moro | Morale : 62 | Team Overall : 58
Next Games #1017 vs Laval Rockets
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Philippe MailletX99.007366906366788264806263646044446668610281700,000$
2Sheldon DriesX98.006465637465747763795567606448486582610261900,000$
3Jordan KyrouXX100.006141908165577164366466522548486573600222875,000$
4Patrick RussellXX100.007944916275596861446055772549496455600281700,000$
5Carter Verhaeghe (A)X100.006742946468548161405870612559596678600251700,000$
6Karson KuhlmanXX100.007967846567636960326556612547486273590251750,000$
7Sasha Chmelevski (R)XX100.007368846568656662785962635944446479590212778,333$
8Adam Ruzicka (R)XXX100.008277926377606159745657675444446275590212801,666$
9Tyler GraovacX100.008581937281596154684457695451516173590271700,000$
10Justin KloosXX100.006964816064697261765958615545456176580271900,000$
11Kalle KossilaXXX100.007264895364555459745361625846466174550281700,000$
12Dakota Joshua (R)X100.007473776673535449614647604544445473530241792,501$
13Nikolai Knyzhov (R)X100.007876817476736560255040753844445224630222796,667$
14Caleb Jones (A)X100.007143926771647961255050667559596073620232850,000$
15Noah Dobson (R)X100.006942918071626369255348592547476075600211894,170$
16Ben Harpur (C)X100.008185726585616451254439683759595468600261700,000$
17Josh MahuraX100.005940936665697271255050602546465977590222875,000$
18Mitch ReinkeX100.007266876366737853254943604144445583580251750,000$
Scratches
1Sam VigneaultX100.0080788667787378536644576454444460205702500$
2Aleksi Heponiemi (R)XX100.006656896156636750635046574444445320520222925,001$
3Gustav Olofsson (R)X100.007873897273525449254339623744445320560261750,000$
4Jake DotchinX100.007079496579565948253940613856565145560271700,000$
5Jonathan Aspirot (R)X100.007473756073646851254741613944445320560213768,333$
TEAM AVERAGE99.87736484667163685848525363444848596158
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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Adam Huska97.00495164884849505449493044445078530
Scratches
1Alex Nedeljkovic95.00627293705867606764633044444878620
TEAM AVERAGE96.0056627979535855615756304444497858
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Willie Desjardins73726674958849CAN632600,000$


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 NamePOSGP 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
1Jordan KyrouHartford Wolf Pack (NYR)C/RW655977136152315956537811923815.61%23129119.87112536441210003253342.11%9510919052.11130211375
2Sheldon DriesHartford Wolf Pack (NYR)C62467211814185851571543139717914.70%35138222.311118293211412335010359.10%16875341221.7115278984
3Philippe MailletHartford Wolf Pack (NYR)C652846741360401221432377816111.81%40133920.61212141186527141592157.82%9276440001.1115152452
4Adam RuzickaHartford Wolf Pack (NYR)C/LW/RW65352863221578510086178469019.66%29116117.86851314952023386155.07%693119121.0900476233
5Caleb JonesHartford Wolf Pack (NYR)D65114152112158010412552548.80%114173826.756612171370114164100.00%03578000.6001010134
6Sasha ChmelevskiHartford Wolf Pack (NYR)C/RW65182038631157263135486513.33%1869010.635381048000003252.94%172914011.1000111111
7Noah DobsonHartford Wolf Pack (NYR)D65432361411557669839324.08%51122718.882911970000140000.00%02331000.5900010112
8Carter VerhaegheHartford Wolf Pack (NYR)C65201535-5005772147429813.61%3079012.17000000001623137.98%3373215000.8902000022
9Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW64171431103325836382244520.73%2392514.46123350000043045.83%481619000.6700122111
10Josh MahuraHartford Wolf Pack (NYR)D655242911231536747833226.41%85122118.8044810860112103100.00%01631000.4700012002
11Karson KuhlmanHartford Wolf Pack (NYR)C/RW65121628-73515616012441649.68%1968210.50202410000012032.81%1281216000.8200102000
12Ben HarpurHartford Wolf Pack (NYR)D613252811194901241108227343.66%103140223.00156101000003113000.00%01459000.40004410110
13Justin KloosHartford Wolf Pack (NYR)C/RW6571825-86430775710641706.60%2383912.910551430001381055.41%742321000.6000024001
14Tyler GraovacHartford Wolf Pack (NYR)C65101525675616466216015.15%1266510.2311211213471050252.92%3421612000.7500010103
15Patrick RussellHartford Wolf Pack (NYR)LW/RW38815231095624812232706.56%1863216.631122100000200136.59%411210000.7312010021
16Mitch ReinkeHartford Wolf Pack (NYR)D65514196382062695224229.62%64110316.98448547000170120.00%0438000.3400202010
17Nikolai KnyzhovHartford Wolf Pack (NYR)D1807722610252121790.00%3041222.8900000000034000.00%0728000.3400020001
18Dakota JoshuaHartford Wolf Pack (NYR)C59145815546261814135.56%114587.780222190000230156.94%7214000.2200100000
19Jake DotchinHartford Wolf Pack (NYR)D47044476304537259120.00%3563513.5200000000133000.00%0319000.1300132001
20Aleksi HeponiemiHartford Wolf Pack (NYR)C/RW21101-460810941011.11%21818.6200000000000033.33%301000.1100000000
Team Total or Average11502904877771391014500143013922396798134812.10%7651878216.335910216117510579918441090361754.45%38405005153100.83418184042343533
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
1Alex NedeljkovicHartford Wolf Pack (NYR)64372130.8953.8235994022921821190100.68716640232
2Adam HuskaHartford Wolf Pack (NYR)91210.8904.35331002421914600-0.5002164100
Team Total or Average73382340.8953.8639304025324011336100.556186564332


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 NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam HuskaHartford Wolf Pack (NYR)G231997-05-12No220 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$NoLink
Adam RuzickaHartford Wolf Pack (NYR)C/LW/RW211999-05-11Yes203 Lbs6 ft4NoNoNo2Pro & Farm801,666$0$0$No801,666$
Aleksi HeponiemiHartford Wolf Pack (NYR)C/RW221999-01-09Yes150 Lbs5 ft10NoNoNo2Pro & Farm925,001$0$0$No925,001$
Alex Nedeljkovic (Out of Payroll)Hartford Wolf Pack (NYR)G251996-01-07No189 Lbs6 ft0NoNoNo1Pro & Farm737,500$0$0$NoLink
Ben HarpurHartford Wolf Pack (NYR)D261995-01-12No222 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$NoLink
Caleb JonesHartford Wolf Pack (NYR)D231997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$Link
Carter VerhaegheHartford Wolf Pack (NYR)C251995-08-14No181 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Dakota JoshuaHartford Wolf Pack (NYR)C241996-05-15Yes198 Lbs6 ft2NoNoNo1Pro & Farm792,501$0$0$No
Gustav OlofssonHartford Wolf Pack (NYR)D261994-12-01Yes194 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink
Jake DotchinHartford Wolf Pack (NYR)D271994-03-24No210 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLink
Jonathan AspirotHartford Wolf Pack (NYR)D211999-05-16Yes201 Lbs6 ft0NoNoNo3Pro & Farm768,333$0$0$No768,333$768,333$Link
Jordan KyrouHartford Wolf Pack (NYR)C/RW221998-05-05No175 Lbs6 ft0NoNoNo2Pro & Farm875,000$0$0$No875,000$Link
Josh MahuraHartford Wolf Pack (NYR)D221998-05-05No178 Lbs6 ft0NoNoNo2Pro & Farm875,000$0$0$No875,000$Link
Justin KloosHartford Wolf Pack (NYR)C/RW271993-11-30No180 Lbs5 ft9YesNoNo1Pro & Farm900,000$0$0$NoLink
Kalle KossilaHartford Wolf Pack (NYR)C/LW/RW281993-04-14No175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLink
Karson KuhlmanHartford Wolf Pack (NYR)C/RW251995-09-26No180 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLink
Mitch ReinkeHartford Wolf Pack (NYR)D251996-02-04No181 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLink
Nikolai KnyzhovHartford Wolf Pack (NYR)D221998-05-20Yes203 Lbs6 ft3NoNoNo2Pro & Farm796,667$0$0$No796,667$Link
Noah DobsonHartford Wolf Pack (NYR)D212000-01-07Yes183 Lbs6 ft4NoNoNo1Pro & Farm894,170$0$0$NoLink
Patrick RussellHartford Wolf Pack (NYR)LW/RW281993-01-03No205 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLink
Philippe MailletHartford Wolf Pack (NYR)C281992-11-07No185 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoLink
Sam VigneaultHartford Wolf Pack (NYR)C251995-09-07No203 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLink
Sasha ChmelevskiHartford Wolf Pack (NYR)C/RW211999-06-09Yes187 Lbs6 ft0NoNoNo2Pro & Farm778,333$0$0$No778,333$
Sheldon DriesHartford Wolf Pack (NYR)C261994-04-23No185 Lbs5 ft9YesNoNo1Pro & Farm900,000$0$0$NoLink
Tyler GraovacHartford Wolf Pack (NYR)C271993-04-26No212 Lbs6 ft5NoNoNo1Pro & Farm700,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.40192 Lbs6 ft11.32758,767$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaSheldon DriesJordan Kyrou40122
2Kalle KossilaPhilippe MailletPatrick Russell30122
3Sheldon DriesCarter VerhaegheSasha Chmelevski20122
4Philippe MailletKarson KuhlmanJustin Kloos10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesNikolai Knyzhov40122
2Ben HarpurNoah Dobson30122
3Mitch ReinkeJosh Mahura20122
4Noah DobsonBen Harpur10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam RuzickaSheldon DriesJordan Kyrou60122
2Kalle KossilaPhilippe MailletSasha Chmelevski40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesNoah Dobson60122
2Ben HarpurJosh Mahura40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sheldon DriesPhilippe Maillet60122
2Jordan KyrouCarter Verhaeghe40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesNikolai Knyzhov60122
2Ben HarpurJosh Mahura40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sheldon Dries60122Caleb JonesNikolai Knyzhov60122
2Philippe Maillet40122Ben HarpurJosh Mahura40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sheldon DriesPhilippe Maillet60122
2Jordan KyrouCarter Verhaeghe40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesNoah Dobson60122
2Ben HarpurJosh Mahura40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaSheldon DriesJordan KyrouCaleb JonesNikolai Knyzhov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam RuzickaSheldon DriesJordan KyrouCaleb JonesNikolai Knyzhov
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Graovac, Dakota Joshua, Justin KloosTyler Graovac, Dakota JoshuaJustin Kloos
Extra Defensemen
Normal PowerPlayPenalty Kill
Mitch Reinke, Nikolai Knyzhov, Ben HarpurMitch ReinkeNikolai Knyzhov, Ben Harpur
Penalty Shots
Sheldon Dries, Philippe Maillet, Jordan Kyrou, Carter Verhaeghe, Sasha Chmelevski
Goalie
#1 : Adam Huska, #2 :


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
OverallHomeVisitor
# VS Team 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 Senators11000000734000000000001100000073421.0007132000711051187377308338484336920316350.00%5180.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
2Boisbriand Armada1010000024-2000000000001010000024-200.0002460071105118729730833848433498233266.67%40100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
3Brampton Battalion1010000035-2000000000001010000035-200.0003470071105118732730833848434013720300.00%10100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
4Bridgeport Sound Tigers3210000014131211000001011-11100000042240.667142337007110511871197308338484312639126610220.00%6183.33%1729137752.94%783143154.72%606112953.68%135673613496071227616
5Chicago Wolves421010002521411000000624311010001919060.750254065007110511871657308338484314445388114964.29%9366.67%0729137752.94%783143154.72%606112953.68%135673613496071227616
6Chicoutimi Sagueneens3300000016610110000007342200000093661.0001628440071105118711973083384843943195535120.00%10190.00%1729137752.94%783143154.72%606112953.68%135673613496071227616
7Drummondville Voltigeurs11000000642000000000001100000064221.000610160071105118737730833848433510722100.00%10100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
8Grand Rapids Griffins1100000012391100000012390000000000021.000122335007110511875673083384843311061344100.00%3166.67%0729137752.94%783143154.72%606112953.68%135673613496071227616
9Hershey Bears6320000130246311000011213-1321000001811770.58330508000711051187255730833848432048221513319842.11%20955.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
10Las Vegas Wranglers11000000862110000008620000000000021.000813210071105118743730833848435117232022100.00%4175.00%1729137752.94%783143154.72%606112953.68%135673613496071227616
11Laval Rockets403010001219-730201000915-61010000034-120.250121931007110511871157308338484315843401094250.00%15473.33%0729137752.94%783143154.72%606112953.68%135673613496071227616
12London Knights11000000413110000004130000000000021.00047110071105118739730833848432512513400.00%000.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
13Lowell Devils1010000036-3000000000001010000036-300.00036900711051187477308338484339131120300.00%3233.33%0729137752.94%783143154.72%606112953.68%135673613496071227616
14Manchester Monarchs1010000037-41010000037-40000000000000.000347007110511873573083384843481025302150.00%5260.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
15Manitoba Moose64100001311912320000011596321000001610690.75031487900711051187210730833848432186812713313646.15%15473.33%1729137752.94%783143154.72%606112953.68%135673613496071227616
16Milwaukee Admirals1010000035-2000000000001010000035-200.0003470071105118733730833848432151120100.00%30100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
17Peoria Riverman4310000017134211000008802200000095460.750173249007110511871177308338484314441319113430.77%13192.31%0729137752.94%783143154.72%606112953.68%135673613496071227616
18Philadelphia Phantoms21100000871211000008710000000000020.50081220007110511876673083384843672720483133.33%5180.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
19Portland Pirates2010000158-31010000035-21000000123-110.25057120071105118760730833848439032437300.00%2150.00%2729137752.94%783143154.72%606112953.68%135673613496071227616
20Quebec Rempart6220001123212302000101013-332000001138570.5832337600071105118720673083384843230759812319421.05%19763.16%0729137752.94%783143154.72%606112953.68%135673613496071227616
21Rimouski Oceanic523000002127-62110000011110312000001016-640.40021385900711051187192730833848431756510510511327.27%15660.00%2729137752.94%783143154.72%606112953.68%135673613496071227616
22Rochester Americans10001000541100010005410000000000021.00056110071105118744730833848435219828100.00%4250.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
23Sherbrooke Phoenix11000000541110000005410000000000021.0005914007110511873773083384843389921000.00%20100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
24Texas Stars220000001165110000008441100000032141.000111728007110511878673083384843681528618337.50%40100.00%0729137752.94%783143154.72%606112953.68%135673613496071227616
25Worcester Sharks6420000024213330000001367312000001115-480.6672440640071105118725673083384843233837515310550.00%10190.00%1729137752.94%783143154.72%606112953.68%135673613496071227616
Total653423030142982574133171102012157132253217120100214112516800.615298494792007110511872435730833848432401782102814541626037.04%1784873.03%9729137752.94%783143154.72%606112953.68%135673613496071227616
_Since Last GM Reset653423030142982574133171102012157132253217120100214112516800.615298494792007110511872435730833848432401782102814541626037.04%1784873.03%9729137752.94%783143154.72%606112953.68%135673613496071227616
_Vs Conference5429180201424920841281410010121321102226158010021179819680.63024941466300711051187202273083384843198265689412061365238.24%1464072.60%8729137752.94%783143154.72%606112953.68%135673613496071227616
_Vs Division201510000139480141274000125755288600001372512350.875941562500071105118778173083384843763253381437582136.21%632265.08%1729137752.94%783143154.72%606112953.68%135673613496071227616

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6580SOL1298494792243524017821028145400
All Games
GPWLOTWOTL SOWSOLGFGA
6534233014298257
Home Games
GPWLOTWOTL SOWSOLGFGA
3317112012157132
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3217121002141125
Last 10 Games
WLOTWOTL SOWSOL
531001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1626037.04%1784873.03%9
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
73083384843711051187
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
729137752.94%783143154.72%606112953.68%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
135673613496071227616


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2020-11-1114Laval Rockets4Hartford Wolf Pack1LBoxScore
4 - 2020-11-1332Hartford Wolf Pack5Worcester Sharks3WBoxScore
5 - 2020-11-1447Manitoba Moose6Hartford Wolf Pack5LXXBoxScore
7 - 2020-11-1666Hartford Wolf Pack7Chicoutimi Sagueneens2WBoxScore
8 - 2020-11-1770Hartford Wolf Pack3Quebec Rempart4LXXBoxScore
10 - 2020-11-1985Quebec Rempart3Hartford Wolf Pack2LBoxScore
12 - 2020-11-21100Worcester Sharks1Hartford Wolf Pack6WBoxScore
13 - 2020-11-22116Hartford Wolf Pack4Rimouski Oceanic8LBoxScore
14 - 2020-11-23126Hartford Wolf Pack2Manitoba Moose7LBoxScore
16 - 2020-11-25145Hershey Bears2Hartford Wolf Pack5WBoxScore
17 - 2020-11-26155Hartford Wolf Pack4Chicago Wolves7LBoxScore
19 - 2020-11-28177Hershey Bears5Hartford Wolf Pack4LXXBoxScore
22 - 2020-12-01195Rimouski Oceanic2Hartford Wolf Pack4WBoxScore
23 - 2020-12-02207Hartford Wolf Pack7Hershey Bears3WBoxScore
25 - 2020-12-04226Peoria Riverman3Hartford Wolf Pack1LBoxScore
27 - 2020-12-06242Hartford Wolf Pack4Rimouski Oceanic2WBoxScore
29 - 2020-12-08256Worcester Sharks2Hartford Wolf Pack3WBoxScore
30 - 2020-12-09272Hartford Wolf Pack7Binghampton Senators3WBoxScore
32 - 2020-12-11285Hartford Wolf Pack8Chicago Wolves7WXBoxScore
33 - 2020-12-12299Quebec Rempart6Hartford Wolf Pack3LBoxScore
36 - 2020-12-15320Sherbrooke Phoenix4Hartford Wolf Pack5WBoxScore
37 - 2020-12-16329Hartford Wolf Pack3Lowell Devils6LBoxScore
39 - 2020-12-18348Hartford Wolf Pack7Chicago Wolves5WBoxScore
41 - 2020-12-20362Hartford Wolf Pack4Peoria Riverman2WBoxScore
42 - 2020-12-21374Manchester Monarchs7Hartford Wolf Pack3LBoxScore
43 - 2020-12-22391Hartford Wolf Pack3Worcester Sharks7LBoxScore
45 - 2020-12-24403Chicoutimi Sagueneens3Hartford Wolf Pack7WBoxScore
47 - 2020-12-26426Rochester Americans4Hartford Wolf Pack5WXBoxScore
50 - 2020-12-29442Worcester Sharks3Hartford Wolf Pack4WBoxScore
52 - 2020-12-31459Hartford Wolf Pack3Milwaukee Admirals5LBoxScore
53 - 2021-01-01472Hershey Bears6Hartford Wolf Pack3LBoxScore
55 - 2021-01-03485Hartford Wolf Pack5Peoria Riverman3WBoxScore
57 - 2021-01-05505London Knights1Hartford Wolf Pack4WBoxScore
58 - 2021-01-06517Hartford Wolf Pack7Hershey Bears1WBoxScore
60 - 2021-01-08533Hartford Wolf Pack4Bridgeport Sound Tigers2WBoxScore
62 - 2021-01-10546Quebec Rempart4Hartford Wolf Pack5WXXBoxScore
63 - 2021-01-11564Hartford Wolf Pack2Rimouski Oceanic6LBoxScore
65 - 2021-01-13578Peoria Riverman5Hartford Wolf Pack7WBoxScore
66 - 2021-01-14595Rimouski Oceanic9Hartford Wolf Pack7LBoxScore
68 - 2021-01-16607Hartford Wolf Pack4Hershey Bears7LBoxScore
70 - 2021-01-18627Philadelphia Phantoms3Hartford Wolf Pack2LBoxScore
72 - 2021-01-20641Hartford Wolf Pack2Chicoutimi Sagueneens1WBoxScore
73 - 2021-01-21654Hartford Wolf Pack3Brampton Battalion5LBoxScore
75 - 2021-01-23670Hartford Wolf Pack3Quebec Rempart1WBoxScore
76 - 2021-01-24680Texas Stars4Hartford Wolf Pack8WBoxScore
78 - 2021-01-26701Hartford Wolf Pack3Worcester Sharks5LBoxScore
79 - 2021-01-27711Grand Rapids Griffins3Hartford Wolf Pack12WBoxScore
82 - 2021-01-30733Hartford Wolf Pack7Quebec Rempart3WBoxScore
83 - 2021-01-31744Portland Pirates5Hartford Wolf Pack3LBoxScore
85 - 2021-02-02765Manitoba Moose1Hartford Wolf Pack4WBoxScore
87 - 2021-02-04784Chicago Wolves2Hartford Wolf Pack6WBoxScore
88 - 2021-02-05793Hartford Wolf Pack2Boisbriand Armada4LBoxScore
89 - 2021-02-06809Hartford Wolf Pack6Manitoba Moose2WBoxScore
91 - 2021-02-08824Bridgeport Sound Tigers3Hartford Wolf Pack5WBoxScore
93 - 2021-02-10841Hartford Wolf Pack8Manitoba Moose1WBoxScore
94 - 2021-02-11855Hartford Wolf Pack3Laval Rockets4LBoxScore
96 - 2021-02-13868Laval Rockets6Hartford Wolf Pack2LBoxScore
98 - 2021-02-15886Las Vegas Wranglers6Hartford Wolf Pack8WBoxScore
102 - 2021-02-19911Philadelphia Phantoms4Hartford Wolf Pack6WBoxScore
104 - 2021-02-21934Manitoba Moose2Hartford Wolf Pack6WBoxScore
106 - 2021-02-23949Hartford Wolf Pack6Drummondville Voltigeurs4WBoxScore
108 - 2021-02-25965Bridgeport Sound Tigers8Hartford Wolf Pack5LBoxScore
110 - 2021-02-27982Hartford Wolf Pack3Texas Stars2WBoxScore
111 - 2021-02-28998Laval Rockets5Hartford Wolf Pack6WXBoxScore
112 - 2021-03-011003Hartford Wolf Pack2Portland Pirates3LXXBoxScore
113 - 2021-03-021017Hartford Wolf Pack-Laval Rockets-
115 - 2021-03-041035Seattle Thunderbirds-Hartford Wolf Pack-
117 - 2021-03-061058Rimouski Oceanic-Hartford Wolf Pack-
119 - 2021-03-081075Hartford Wolf Pack-Portland Pirates-
121 - 2021-03-101090Seattle Thunderbirds-Hartford Wolf Pack-
123 - 2021-03-121106Hartford Wolf Pack-Texas Stars-
124 - 2021-03-131116Hartford Wolf Pack-Seattle Thunderbirds-
125 - 2021-03-141127Hartford Wolf Pack-Philadelphia Phantoms-
127 - 2021-03-161140Lake Erie Monsters-Hartford Wolf Pack-
129 - 2021-03-181160Victoriaville Tigres-Hartford Wolf Pack-
130 - 2021-03-191174Hartford Wolf Pack-Rochester Americans-
132 - 2021-03-211186Victoriaville Tigres-Hartford Wolf Pack-
133 - 2021-03-221197Hartford Wolf Pack-Toronto Marlies-
Trade Deadline --- Trades can’t be done after this day is simulated!
137 - 2021-03-261218Hartford Wolf Pack-Grand Rapids Griffins-
138 - 2021-03-271233Calgary Hitman-Hartford Wolf Pack-
141 - 2021-03-301252Hartford Wolf Pack-Grand Rapids Griffins-
143 - 2021-04-011261Calgary Hitman-Hartford Wolf Pack-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance51,53925,955
Attendance PCT78.09%78.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
8 2348 - 78.28% 99,026$3,267,854$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,912,655$ 1,896,917$ 1,819,085$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,912,655$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
792,207$ 33 17,220$ 568,260$




OverallHomeVisitor
Year 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