WEB CLIENT LEAGUE FILES


Hershey Bears


GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Dave Cherniwchan | Team Overall : 65
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 SP
1Zach Sanford (R)X100.00713084727681717270686872696258050670
2Joseph Labate (R)XX100.00788676738079826675646171586056050660
3Travis Ewanyk (R)XX100.00765878747280786776646270625864050660
4Quinton Howden (R)XX100.00764882747377796767646472645856050650
5Kurtis Gabriel (R)X100.00796978717980806665646069565659050650
6Colin CampbellXXX100.00784673718077756572645770576565050650
7Josh Currie (R)XX100.00756182717277806576606271565658050640
8Ben Thomson (R)XX100.00787876727680806463615769555252050640
9Connor Brickley (R)X100.00734684707675726467606370565650050630
10Brett Kulak (R)X100.00723283767283826830666272586264050680
11Joshua Brown (R)X100.00833074708579806130595273395260050670
12Dillon Heatherington (R)X100.00774080747679736430625774535863050670
13Brett Lernout (R)X100.00764679737678786430625672485860050670
14Luke WitkowskiXX100.00756568718178806230584374406761050670
15David Shields (R)X100.00735478707780766430615871536865050660
16Dylan Blujus (R)X100.00723490727580796630646171545558050660
17Julian Melchiori (R)X100.00775183707778785930575071506764050660
18James De Haas (R)X100.00703086767470686430634770425356050640
Scratches
1Blaine Byron (R)X100.00653087756971706569636168625355050630
2Brett Pollock (R)XX100.00783382697772726667626268635555050630
3Tyler Gaudet (R)XX100.00693390697474626174585768595146050610
4Michael Zalewski (R)X100.00623694697474746267605868515247050610
5Dalton Smith (R)X100.00785866687870525652545369553837050580
6Ashton Sautner (R)X100.00723381727074606030585270524446050620
TEAM AVERAGE100.0074478172767774645362587155575605065
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
1Thatcher Demko (R)100.0082838285848182808182815656050770
2Thomas McCollum100.0077748080777877767570765353050720
Scratches
1Edward Pasquale (R)100.0069547382707272777168735252050680
TEAM AVERAGE100.007670788277777778767377545405072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Johnston72758080757374CAN611550,000$


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 NamePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Ashton SautnerHershey Bears (DET)D245/27/1994 10:33:51 AMYes195 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Ben ThomsonHershey Bears (DET)LW/RW251/16/1993 11:17:57 AMYes205 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Blaine ByronHershey Bears (DET)C232/21/1995 10:04:23 AMYes172 Lbs6 ft0NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link / NHL Link
Brett KulakHershey Bears (DET)D241/6/1994 7:39:28 AMYes187 Lbs6 ft2NoNoNo3RFAPro & Farm900,000$900,000$900,000$Link / NHL Link
Brett LernoutHershey Bears (DET)D239/24/1995 3:45:21 AMYes214 Lbs6 ft4NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Brett PollockHershey Bears (DET)LW/RW223/17/1996 10:05:44 AMYes195 Lbs6 ft3NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Colin CampbellHershey Bears (DET)C/LW/RW274/17/1991 6:11:01 AMNo207 Lbs6 ft1NoNoNo2RFAPro & Farm850,000$850,000$Link
Connor BrickleyHershey Bears (DET)C262/25/1992 7:33:40 AMYes203 Lbs6 ft0NoNoNo1RFAPro & Farm875,000$Link / NHL Link
Dalton SmithHershey Bears (DET)LW266/30/1992 9:02:12 AMYes206 Lbs6 ft2NoNoNo2RFAPro & Farm650,000$650,000$Link / NHL Link
David ShieldsHershey Bears (DET)D271/27/1991 7:48:02 AMYes204 Lbs6 ft3NoNoNo1RFAPro & Farm725,000$Link / NHL Link
Dillon HeatheringtonHershey Bears (DET)D235/9/1995 3:34:23 AMYes215 Lbs6 ft4NoNoNo1RFAPro & Farm725,000$Link / NHL Link
Dylan BlujusHershey Bears (DET)D241/22/1994 7:51:39 AMYes203 Lbs6 ft3NoNoNo2RFAPro & Farm770,000$770,000$Link / NHL Link
Edward PasqualeHershey Bears (DET)C/LW/RW2811/11/1990 9:36:16 AMYes215 Lbs6 ft2NoNoNo1RFAPro & Farm650,000$Link / NHL Link
James De HaasHershey Bears (DET)D245/3/1994 10:07:09 AMYes210 Lbs6 ft4NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link / NHL Link
Joseph LabateHershey Bears (DET)C/LW254/16/1993 8:24:26 AMYes210 Lbs6 ft5NoNoNo2RFAPro & Farm600,000$600,000$Link / NHL Link
Josh CurrieHershey Bears (DET)C/RW2610/29/1992 5:22:58 AMYes172 Lbs5 ft10NoNoNo2RFAPro & Farm650,000$650,000$NHL Link
Joshua BrownHershey Bears (DET)D241/21/1994 9:36:33 AMYes225 Lbs6 ft5NoNoNo2RFAPro & Farm500,000$500,000$Link / NHL Link
Julian MelchioriHershey Bears (DET)D2712/6/1991 3:15:28 PMYes214 Lbs6 ft5NoNoNo1RFAPro & Farm600,000$Link / NHL Link
Kurtis GabrielHershey Bears (DET)RW254/20/1993 8:18:16 AMYes200 Lbs6 ft4NoNoNo3RFAPro & Farm772,000$772,000$772,000$Link / NHL Link
Luke WitkowskiHershey Bears (DET)RW/D284/14/1990 9:11:13 AMNo210 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$750,000$Link / NHL Link
Michael ZalewskiHershey Bears (DET)LW268/18/1992 5:10:33 AMYes205 Lbs6 ft2NoNoNo1RFAPro & Farm880,000$Link / NHL Link
Quinton HowdenHershey Bears (DET)LW/RW261/21/1992 4:18:39 AMYes189 Lbs6 ft2NoNoNo2RFAPro & Farm1,400,000$1,400,000$Link / NHL Link
Thatcher DemkoHershey Bears (DET)LW/D2312/8/1995 9:40:18 AMYes192 Lbs6 ft4NoNoNo2RFAPro & Farm850,000$850,000$Link / NHL Link
Thomas McCollumHershey Bears (DET)D2912/7/1989 9:30:43 AMNo220 Lbs6 ft2NoNoNo2UFAPro & Farm670,000$670,000$Link / NHL Link
Travis EwanykHershey Bears (DET)C/LW253/29/1993 8:26:20 AMYes200 Lbs6 ft1NoNoNo2RFAPro & Farm658,000$658,000$Link / NHL Link
Tyler GaudetHershey Bears (DET)C/LW254/4/1993 7:50:31 AMYes205 Lbs6 ft3NoNoNo2RFAPro & Farm850,000$850,000$Link / NHL Link
Zach SanfordHershey Bears (DET)LW2411/9/1994 10:08:30 AMYes185 Lbs6 ft3NoNoNo2RFAPro & Farm900,000$900,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2725.15202 Lbs6 ft31.96760,185$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordJoseph LabateLuke Witkowski25122
2Quinton HowdenTravis EwanykJosh Currie25122
3Ben ThomsonLuke WitkowskiKurtis Gabriel25122
4Quinton HowdenJoseph LabateLuke Witkowski25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brett LernoutBrett Kulak25122
2Joshua BrownDillon Heatherington25122
3Brett LernoutDavid Shields25122
4Dylan BlujusJulian Melchiori25122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach SanfordJoseph LabateLuke Witkowski50005
2Quinton HowdenTravis EwanykJosh Currie50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dylan BlujusBrett Kulak50122
2Joshua BrownDillon Heatherington50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joseph LabateZach Sanford50122
2Kurtis GabrielQuinton Howden50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke WitkowskiBrett Kulak50122
2Joshua BrownDillon Heatherington50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Joseph Labate50122Luke WitkowskiBrett Kulak50122
2Quinton Howden50122Joshua BrownDillon Heatherington50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joseph LabateKurtis Gabriel50122
2Zach SanfordQuinton Howden50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Luke WitkowskiBrett Kulak50122
2Joshua BrownDillon Heatherington50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zach SanfordJoseph LabateLuke WitkowskiJoshua BrownBrett Kulak
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach SanfordJoseph LabateLuke WitkowskiJoshua BrownBrett Kulak
Extra Forwards
Normal PowerPlayPenalty Kill
Luke Witkowski, Joseph Labate, Kurtis GabrielLuke Witkowski, Joseph LabateLuke Witkowski
Extra Defensemen
Normal PowerPlayPenalty Kill
Dylan Blujus, Julian Melchiori, Brett KulakDylan BlujusDylan Blujus, Julian Melchiori
Penalty Shots
Luke Witkowski, Ben Thomson, Quinton Howden, Joseph Labate, Zach Sanford
Goalie
#1 : Thomas McCollum, #2 : Thatcher Demko


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
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
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,052,500$ 2,044,167$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 2 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