Hershey Bears
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Alexandre Simoneau | Morale : 90 | Team Overall : N/A
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Team Leaders

Team Stats
Goals For
0
nan GFG
Shots For
0
nan Avg
Power Play Percentage
nan%
0 GF
Offensive Zone Start
nan%
Goals Against
0
nan GAA
Shots Against
0
nan Avg
Penalty Kill Percentage
nan%
0 GA
Defensive Zone Start
nan%
Team Info

General ManagerAlexandre Simoneau
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendancenan
Season Tickets300


Roster Info

Pro Team27
Farm Team22
Contract Limit49 / 75
Prospects11


Team History

This Season0-0-0 (0PTS)
History178-162-29 (0.482%)
Playoff Appearances1
Playoff Record (W-L)1-4


Filter Tips
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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.
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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
1Connor McMichaelX100.0062487866727980697863655773626609000201894,167$
2Michal TeplyX100.0072398862817479586159556356606209000201825,833$
3MacKenzie EntwistleX100.0072398767807982666164636567636209000211811,667$
4Sam MileticX100.0065359257747883565459555758676409000241750,000$
5Arnaud DurandeauX100.0068438162677176635857605661636209000221756,667$
6Rhett GardnerX100.0082369162887276637562615662696509000252750,000$
7William LockwoodX100.0081437157677671585559606158656309000231845,500$
8Joel L'EsperanceX100.0065359262837882636460656265716709000251725,000$
9Scott ReedyX100.0072398762817378615558625761636609000221842,500$
10Cole Koepke (R)X100.0074608077759090737070707575707005700231650,000$
11John HaydenX100.0094816265886980616763626462716809000261750,000$
12Arthur KaliyevX100.0062389364808785735863716275616509000203894,167$
13Mikko LehtonenX100.0076368970748571693074555850736809000271750,000$
14Kurtis MacDermidX100.0084896962967880613066626952736709000271875,000$
15Juuso RiikolaX100.00863595687279736630685759517568090002711,150,000$
16John LudvigX100.0071576960807065573065565949616109000201853,333$
17Martin FehervaryX100.0080357163818276623065576249636209000211791,667$
18Sami NikuX100.0060507569767379683067625954696509000241725,000$
19Corey SchuenemanX100.0066398660757984593061565845716609000251725,000$
Scratches
1Mason ShawX100.00573574626668735971605856596566090002200$
2Givani SmithX100.00847974628270746359626360646564090002300$
3Zach SanfordX100.00827385668881876762687274697371090002600$
4Libor HajekX100.00623790648172736330645963516564090002300$
TEAM AVERAGE100.007348826479777863526361615967650890
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
1Laurent Brossoit100.008285908481808281808281758109000
2Dustin Wolf100.007077857069687069687069626509000
3Connor Ingram100.007785838076757776757776677109000
Scratches
1Stuart Skinner100.007686848875747675747675656909000
TEAM AVERAGE100.00768386817574767574767567720900
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Arnaud DurandeauHershey Bears (WSH)LW221999-01-14No175 Lbs5 ft11NoNoNo1Pro & Farm756,667$0$0$NoLink / NHL Link
Arthur KaliyevHershey Bears (WSH)RW202001-06-26No190 Lbs6 ft2NoNoNo3Pro & Farm894,167$0$0$No894,167$894,167$Link / NHL Link
Cole KoepkeHershey Bears (WSH)RW231998-04-29 01:03:50Yes195 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Connor IngramHershey Bears (WSH)G241997-03-31No196 Lbs6 ft2NoNoNo1Pro & Farm733,333$0$0$NoLink / NHL Link
Connor McMichaelHershey Bears (WSH)C202001-01-15No183 Lbs6 ft0NoNoNo1Pro & Farm894,167$0$0$NoLink / NHL Link
Corey SchuenemanHershey Bears (WSH)D251995-09-02No201 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$NoLink / NHL Link
Dustin WolfHershey Bears (WSH)G202001-04-16No156 Lbs6 ft0NoNoNo2Pro & Farm815,833$0$0$No815,833$Link / NHL Link
Givani SmithHershey Bears (WSH)RW231998-02-27No210 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Joel L'EsperanceHershey Bears (WSH)C251995-08-18No215 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLink / NHL Link
John HaydenHershey Bears (WSH)C261995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
John LudvigHershey Bears (WSH)D202000-08-02No213 Lbs6 ft1NoNoNo1Pro & Farm853,333$0$0$NoLink / NHL Link
Juuso RiikolaHershey Bears (WSH)D271993-11-09No189 Lbs6 ft0NoNoNo1Pro & Farm1,150,000$0$0$NoLink / NHL Link
Kurtis MacDermidHershey Bears (WSH)D271994-03-25No233 Lbs6 ft5NoNoNo1Pro & Farm875,000$0$0$NoLink / NHL Link
Laurent BrossoitHershey Bears (WSH)G281993-03-23No204 Lbs6 ft3NoNoNo2Pro & Farm2,325,000$0$0$No2,325,000$Link / NHL Link
Libor HajekHershey Bears (WSH)D231998-02-04No203 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink / NHL Link
MacKenzie EntwistleHershey Bears (WSH)RW211999-07-14No184 Lbs6 ft3NoNoNo1Pro & Farm811,667$0$0$NoLink / NHL Link
Martin FehervaryHershey Bears (WSH)D211999-10-06No202 Lbs6 ft2NoNoNo1Pro & Farm791,667$0$0$NoLink / NHL Link
Mason ShawHershey Bears (WSH)LW221998-11-03No182 Lbs5 ft9NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Michal TeplyHershey Bears (WSH)RW202001-05-27No187 Lbs6 ft3NoNoNo1Pro & Farm825,833$0$0$NoLink
Mikko LehtonenHershey Bears (WSH)D271994-01-16No196 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Rhett GardnerHershey Bears (WSH)C251996-02-28No225 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Link / NHL Link
Sam MileticHershey Bears (WSH)LW241997-05-04No197 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLink / NHL Link
Sami NikuHershey Bears (WSH)D241996-10-10No176 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLink / NHL Link
Scott ReedyHershey Bears (WSH)RW221999-04-04No205 Lbs6 ft2NoNoNo1Pro & Farm842,500$0$0$NoLink
Stuart SkinnerHershey Bears (WSH)G221998-11-01No206 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLink / NHL Link
William LockwoodHershey Bears (WSH)RW231998-06-20No172 Lbs5 ft11NoNoNo1Pro & Farm845,500$0$0$NoLink
Zach SanfordHershey Bears (WSH)C261994-11-09No207 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2723.33197 Lbs6 ft11.00712,580$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor McMichael40122
230122
3Scott ReedyMichal Teply20122
4Cole Koepke10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Martin Fehervary30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Connor McMichael60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Martin Fehervary40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Connor McMichael60122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Martin Fehervary40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Connor McMichael40122Martin Fehervary40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Connor McMichael60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Martin Fehervary40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Connor McMichael
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Connor McMichael
Extra Forwards
Normal PowerPlayPenalty Kill
Michal Teply, , Scott ReedyMichal Teply, Scott Reedy
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Connor McMichael, , ,
Goalie
#1 : , #2 : Dustin Wolf
Custom OT Lines Forwards
, Connor McMichael, , , , Michal Teply, Michal Teply, , , Scott Reedy, Cole Koepke
Custom OT Lines Defensemen
, , , Martin Fehervary,


Filter Tips
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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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
100 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,923,967$ 1,566,750$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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
Regular Season
201884294402423273342-6942161802222145164-1942132600201128178-5058273482755239895767278287393695041308887050619042314519.48%2534881.03%71534313348.96%1592325948.85%692145747.49%1961134520206161093539
201884323804712292323-3142191503302150155-542132301410142168-26642925218130296989352984976970101533292084147019232413715.35%2355576.60%21578316049.94%1592310451.29%688143447.98%1997137419836111097549
2019100453509074445407385023180403222419430502217050422212138904457741219221711291292239341260131213101003942116057823332897024.22%2896776.82%22058402351.16%2069404751.12%937181451.65%2372164223887341312654
201910042450362240239395023230210119819175019220152120420228440272611285014112213473836124912681278613810109464624053228125.16%3237377.40%42049396651.66%1964396049.60%873175249.83%2404166323327311306653
Total Regular Season36814816201817121114121465-531848174011657717704131846788071174695761-6629614122503391597506444432411353643584486455323513760396522008565108323321.51%110024377.91%1572191428250.55%72171437050.22%3190645749.40%873560248725269448102397
Playoff
2019514000001425-112110000077030300000718-1121423370052701705354630205583810613323.08%19573.68%08519344.04%10722048.64%408149.38%10973126366330
Total Playoff514000001425-112110000077030300000718-1121423370052701705354630205583810613323.08%19573.68%08519344.04%10722048.64%408149.38%10973126366330