´╗┐

HAWAII PUNCH
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Sean S | Morale : 50 | 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 SPAgeContractSalary
1Roope Hintz (R)XX100.00491679858897928755858064608269050762243750,000$
2Jamie McGinnXX100.00999827597875748378817386579999050740322800,000$
3Viktor TikhonovX100.002419996773728485848282838099990507423221,000,000$
4Brandon McMillanX100.002612996275797980657180876387830507103121,000,000$
5Wade Allison (R)X100.00481889798376826553746666457672050682232675,000$
6Barrett Hayton (R)XX100.00451861787574777164746860707680050672211750,000$
7J.T. CompherX100.00281298687884766052706664697871050652261500,000$
8Filip Chlapik (R)X100.00321585848383796363595754547974050642242500,000$
9Jesper Boqvist (R)XXX100.00361382798077736468606262577666050642223650,000$
10Philip Tomasino (R)X100.00281780767273676358666359656967050631192650,000$
11Andrei Altybarmakyan (R)X100.00673457777472756042545464556958050612223550,000$
12Gustav OlofssonX100.00352299657772786643665163448076050632261500,000$
13Jett Woo (R)X100.0017683767769676344625964587567050622201650,000$
14Jack GloverX100.00624467678060605544565261486769050602251500,000$
15Alex Vlasic (R)X100.00653384637069616444576156446551050602202600,000$
Scratches
1Kirby Dach (R)X100.00633677767271726670766763567076050671202750,000$
2Seth Jarvis (R)X100.00411975768071736756676357556058080631193750,000$
3Jack Studnicka (R)X100.00441873747368706066605960477165050612232500,000$
4Cole Schwindt (R)X100.00361676696563626558605856556259050592202550,000$
5Jack Drury (R)X100.00391872696858585963575753606064050572221600,000$
6Anton Karlsson (R)XX100.00432960657650653850363956586672050512241500,000$
7Kevin Bahl (R)X100.00522084728065674940474462446759050602221550,000$
TEAM AVERAGE100.0045247872767272655765626457747105164
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
1Eddie Lack100.0068697579747674717165619170050710
2Vitek Vanecek100.0077687278706369696765668276050692
Scratches
1Jhonas Enroth100.0068747573726874768170639984050732
2Colton Point (R)100.0058586082666061616059586951050612
TEAM AVERAGE100.006867717871677069706562857005069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cory Clouston74989476929653CAN4721,100,000$


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
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 RemainingSalary AverageSalary Ave RemainingSalary 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
Alex VlasicHAWAII PUNCH (HAW)D206/1/2001 6:19:01 AMYes202 Lbs6 ft0NoNoNo2Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$
Andrei AltybarmakyanHAWAII PUNCH (HAW)RW226/1/1999 8:02:44 AMYes188 Lbs6 ft4NoNoNo3Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$550,000$
Anton KarlssonHAWAII PUNCH (HAW)LW/RW248/3/1996 6:18:26 AMYes204 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Barrett HaytonHAWAII PUNCH (HAW)C/LW216/9/2000 4:49:04 AMYes196 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No
Brandon McMillanHAWAII PUNCH (HAW)C313/22/1990No205 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$40,000$40,000$100,000$100,000$No1,000,000$
Cole SchwindtHAWAII PUNCH (HAW)RW206/1/2001 8:42:55 AMYes186 Lbs6 ft1NoNoNo2Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No550,000$
Colton PointHAWAII PUNCH (HAW)G233/4/1998 3:36:57 AMYes229 Lbs6 ft4NoNoNo3Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No600,000$600,000$
Eddie LackHAWAII PUNCH (HAW)G328/5/1988No201 Lbs6 ft4NoNoNo2Pro & Farm795,000$795,000$40,000$40,000$79,500$79,500$No795,000$
Filip ChlapikHAWAII PUNCH (HAW)C246/3/1997 4:48:52 AMYes212 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Gustav OlofssonHAWAII PUNCH (HAW)D2612/1/1994 4:02:32 AMNo207 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
J.T. CompherHAWAII PUNCH (HAW)C264/8/1995 2:38:36 AMNo204 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Jack DruryHAWAII PUNCH (HAW)C226/1/1999 7:12:59 AMYes187 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$40,000$40,000$60,000$60,000$No
Jack GloverHAWAII PUNCH (HAW)D255/17/1996 11:15:47 AMNo209 Lbs6 ft6NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Jack StudnickaHAWAII PUNCH (HAW)C236/1/1998 7:23:26 AMYes191 Lbs6 ft2NoNoNo2Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No500,000$
Jamie McGinnHAWAII PUNCH (HAW)LW/RW328/5/1988No218 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$40,000$40,000$80,000$80,000$No800,000$NHL Link
Jesper BoqvistHAWAII PUNCH (HAW)C/LW/RW2210/30/1998 1:15:58 AMYes174 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$650,000$
Jett WooHAWAII PUNCH (HAW)D207/27/2000 7:04:26 AMYes210 Lbs6 ft1NoNoNo1Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No
Jhonas EnrothHAWAII PUNCH (HAW)G3211/25/1988No185 Lbs5 ft10NoNoNo2Pro & Farm1,500,000$1,500,000$40,000$40,000$150,000$150,000$No1,500,000$NHL Link
Kevin BahlHAWAII PUNCH (HAW)D226/1/1999 7:36:19 AMYes204 Lbs6 ft1NoNoNo1Pro & Farm550,000$550,000$40,000$40,000$55,000$55,000$No
Kirby DachHAWAII PUNCH (HAW)C201/21/2001 2:58:06 AMYes200 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$
Philip TomasinoHAWAII PUNCH (HAW)C197/28/2001 5:03:33 AMYes182 Lbs6 ft1NoNoNo2Pro & Farm650,000$650,000$40,000$40,000$65,000$65,000$No650,000$
Roope HintzHAWAII PUNCH (HAW)C/LW2411/17/1996 4:51:33 AMYes203 Lbs6 ft6NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$75,000$75,000$No750,000$750,000$
Seth Jarvis (Out of Payroll)HAWAII PUNCH (HAW)C192/1/2002 7:54:25 AMYes175 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$40,000$40,000$0$0$Yes750,000$750,000$
Viktor TikhonovHAWAII PUNCH (HAW)C328/8/1988 8:48:45 AMNo193 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$40,000$40,000$100,000$100,000$No1,000,000$
Vitek VanecekHAWAII PUNCH (HAW)G256/1/1996 5:07:45 AMNo197 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$40,000$40,000$50,000$50,000$No
Wade AllisonHAWAII PUNCH (HAW)RW236/1/1998 10:36:03 AMYes215 Lbs6 ft2NoNoNo2Pro & Farm675,000$675,000$40,000$40,000$67,500$67,500$No675,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.19199 Lbs6 ft21.85679,615$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Roope HintzViktor TikhonovJesper Boqvist39005
2Barrett HaytonJ.T. CompherFilip Chlapik29113
3Jamie McGinnAndrei Altybarmakyan19131
4Philip TomasinoBrandon McMillanWade Allison13113
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Vlasic39113
2Gustav OlofssonJett Woo31131
3Jack Glover24131
4Alex Vlasic6122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Roope HintzViktor TikhonovWade Allison50104
2Jamie McGinnBrandon McMillanJ.T. Compher50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Vlasic60113
2Gustav OlofssonJack Glover40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jamie McGinnWade Allison60131
2Brandon McMillanRoope Hintz40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alex Vlasic60131
2Gustav OlofssonJack Glover40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jamie McGinn60140Alex Vlasic50140
2Andrei Altybarmakyan40140Gustav OlofssonJack Glover50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Philip TomasinoJ.T. Compher50122
2Filip ChlapikRoope Hintz50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jack GloverAlex Vlasic50122
2Gustav Olofsson50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Barrett HaytonViktor TikhonovRoope HintzGustav OlofssonJett Woo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jamie McGinnAndrei AltybarmakyanAlex Vlasic
Extra Forwards
Normal PowerPlayPenalty Kill
Filip Chlapik, Barrett Hayton, Philip TomasinoRoope Hintz, Philip TomasinoAndrei Altybarmakyan
Extra Defensemen
Normal PowerPlayPenalty Kill
, Jett Woo, Alex VlasicJett WooAlex Vlasic, Gustav Olofsson
Penalty Shots
Barrett Hayton, Viktor Tikhonov, Philip Tomasino, Roope Hintz, J.T. Compher
Goalie
#1 : Eddie Lack, #2 : Vitek Vanecek
Custom OT Lines Forwards
Jamie McGinn, Viktor Tikhonov, Brandon McMillan, Roope Hintz, Philip Tomasino, Wade Allison, Wade Allison, , Barrett Hayton, Filip Chlapik, Andrei Altybarmakyan
Custom OT Lines Defensemen
Alex Vlasic, Jack Glover, Gustav Olofsson, Jett Woo,


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
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
42 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,767,000$ 104,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 25 1

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
88431300865429527718421614044221471443421516042321481331562295501796117295115182541818844833772541918101918172566224.22%2776676.17%1854171349.85%826168648.99%656130050.46%1765100218207851519739
9843531057332772512642161404332148127214219170140112912459627745373013709710211266682292789743250580878217972265725.22%2555976.86%4896175651.03%890171052.05%649120054.08%1786102517927771511733
Total Regular Season168666101313875725284484322808754295271248434330563327725720158572954152624142192217295207164017711730120504617261801361448211924.69%53212576.50%51750346950.45%1716339650.53%1305250052.20%355120273613156330301473
Playoff
9624000002327-4312000001013-3312000001314-1423406300312801854683551189774612414535.71%23673.91%06413348.12%6912654.76%378742.53%124701315710550
Total Playoff624000002327-4312000001013-3312000001314-1423406300312801854683551189774612414535.71%23673.91%06413348.12%6912654.76%378742.53%124701315710550