HAWAII PUNCH

GP: 32 | W: 19 | L: 9 | OTL: 4 | P: 42
GF: 119 | GA: 106 | PP%: 25.24% | PK%: 70.91%
GM : Sean S | Morale : 60 | Team Overall : 64
Next Games #358 vs PINCHER CREEK WOLVERINES
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
1Brady CallaX99.00958239757779767841817772679495080742
2Brock RadunskeXX100.00867447687269748154808172659999073732
3Jamie McGinnXX98.00998837617877747876766884579399070730
4Pontus AbergXX100.00281499858688868332797955578571065722
5Marko Dano (R)XXX100.00543475787982838161797358558785068721
6Brandon McMillanX100.00331999627482797365647381638076068680
7Derick BrassardX100.00391799647663866176555679759988048640
8Wade Allison (R)X100.00462681767669596255685761456561068622
9Barrett Hayton (R)X100.00401066656569706664666358706075065622
10Filip Chlapik (R)X100.00402377757868695864565458547268068602
11Andrei Altybarmakyan (R)X100.00693655637063606045585660555656068582
12Filip Hållander (R)X100.0018887636058685764595559485455057562
13Steve EmingerX100.00501499637775755250424478589999035662
14Gustav OlofssonX100.00443195717673786443644962447672068642
15Jack Glover (R)X100.00614368757862605744585461486567059622
16Caleb Jones (R)X100.00685775658058615944595960585959059602
17Adam Fox (R)X100.00391992646969694744544561445659067572
18Jett Woo (R)X100.00231277617060675944595660586658060572
Scratches
1Jack Drury (R)X100.00432268605860586162595955605660020562
2Anton Karlsson (R)XX100.00432960657550653850363956586268020502
3Brandon Carlo (R)X83.83615778748073776938635070427369041672
4Tyson StrachanX100.00587856588066665750515068569094032630
5Keegan Kanzig (R)X100.00534973687556605443524363446670026592
6Brandon Hickey (R)X100.00595557617863655040595461486560026592
TEAM AVERAGE99.2052377368746870635262586555747305563
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 Lack97.0067697579747372686865658468045700
2Al Montoya100.0064666678696170706671689796055700
Scratches
1Igor Shestyorkin (R)100.0067605678677269706557546563037652
2Vitek Vanecek100.0070606277706062596865596765020642
3Colton Point (R)100.0061586072645758586059586565035602
TEAM AVERAGE99.406663647769656665656361767103866
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Cory Clouston77908783858960CAN4541,100,000$


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
1Pontus AbergHAWAII PUNCH (HAW)LW/RW3222295118202735131478116.79%1363519.87691513810110340138.64%444414001.6000000564
2Brady CallaHAWAII PUNCH (HAW)RW32201737192509651104406219.23%1163919.986101618840001722138.46%652913001.1623514161
3Brandon McMillanHAWAII PUNCH (HAW)C3215183311003764111367413.51%2066020.630445700001664049.61%7621411201.0000000154
4Marko DanoHAWAII PUNCH (HAW)C/LW/RW321215270404740100397712.00%1354216.9653816760000132149.74%195268010.9914000311
5Brock RadunskeHAWAII PUNCH (HAW)LW/RW32815236643060349126528.79%1242513.30022016000060157.14%7189001.0800312311
6Barrett HaytonHAWAII PUNCH (HAW)C3251520-820029484272111.90%1352116.302684641011230148.00%40028000.7724000100
7Jamie McGinnHAWAII PUNCH (HAW)LW/RW321081874915744483314112.05%1650815.900005250003482059.26%27125000.7100102120
8Gustav OlofssonHAWAII PUNCH (HAW)D32215173001945349135.88%2667721.17224467000176100.00%0517000.5000000101
9Andrei AltybarmakyanHAWAII PUNCH (HAW)RW325101512280823426172319.23%1153416.710112520000221018.18%22312000.5600000103
10Caleb JonesHAWAII PUNCH (HAW)D322111331810383422889.09%3659918.75268372000067100.00%0413000.4302101010
11Wade AllisonHAWAII PUNCH (HAW)RW324610-26033174912308.16%93029.46000050000122038.89%18186000.6600000100
12Steve EmingerHAWAII PUNCH (HAW)D13077500111917670.00%2432024.64011333000138000.00%009000.4400000001
13Adam FoxHAWAII PUNCH (HAW)D2806618551120168120.00%3452218.6600006000012000.00%0112000.2300001020
14Filip HållanderHAWAII PUNCH (HAW)C25336-2004121391023.08%22068.2700000000001154.05%7434000.5800000001
15Jack GloverHAWAII PUNCH (HAW)D32055-42715364315960.00%1858618.32000015011069000.00%0425000.1700030000
16Tyson StrachanHAWAII PUNCH (HAW)D11134-31810151711419.09%922320.28101221000026000.00%028000.3600101000
17Brandon CarloHAWAII PUNCH (HAW)D1621314120262922289.09%2234921.85000229000036000.00%0117000.1700000001
18Jett WooHAWAII PUNCH (HAW)D282131100724157413.33%2648017.1721337300000000.00%019000.1200000000
19Derick BrassardHAWAII PUNCH (HAW)C200336005137390.00%322911.4600000000000050.41%12120000.2600000000
20Arttu LuttinenHAWAII TYPHOONC/LW91230141012920385.00%210511.7600000000000156.67%6022000.5712020000
21Filip ChlapikHAWAII PUNCH (HAW)C32112-1202729187215.56%92979.30000040000300028.57%1464000.1300000000
22Jack DruryHAWAII PUNCH (HAW)C31122001120150.00%23812.9200000000000059.09%2202001.0300000000
23Keegan KanzigHAWAII PUNCH (HAW)D7011-300131200.00%3699.960000000002000.00%004000.2900000000
24Brandon HickeyHAWAII PUNCH (HAW)D7000100150110.00%1415.900000000001000.00%001000.0000000000
Team Total or Average5831161933098537114569967095033357012.21%335952116.3326457180803123866316748.72%1831197213210.6561511711182418
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
1Eddie LackHAWAII PUNCH (HAW)139300.8973.007392037358192101.0003124101
2Igor ShestyorkinHAWAII PUNCH (HAW)96210.9052.495542023243116010.6921390001
3Al MontoyaHAWAII PUNCH (HAW)83320.8654.344560033244140200.0000821000
4Colton PointHAWAII PUNCH (HAW)41110.8903.35197001110049000.000037000
Team Total or Average3419940.8903.21194740104945497310.750163232102


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
Adam FoxHAWAII PUNCH (HAW)D216/1/1998 2:43:54 AMYes208 Lbs6 ft2NoNoNo1Pro & Farm650,000$407,931$40,000$25,103$65,000$40,793$No
Al MontoyaHAWAII PUNCH (HAW)G341/13/1985No204 Lbs6 ft2NoNoNo2Pro & Farm1,120,000$702,897$40,000$25,103$112,000$70,290$No1,120,000$
Andrei AltybarmakyanHAWAII PUNCH (HAW)RW206/1/1999 8:02:44 AMYes183 Lbs6 ft2NoNoNo2Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$
Anton KarlssonHAWAII PUNCH (HAW)LW/RW238/3/1996 6:18:26 AMYes200 Lbs6 ft2NoNoNo1Pro & Farm400,000$251,034$40,000$25,103$40,000$25,103$No
Barrett HaytonHAWAII PUNCH (HAW)C196/9/2000 4:49:04 AMYes190 Lbs6 ft1NoNoNo3Pro & Farm750,000$470,690$40,000$25,103$75,000$47,069$No750,000$750,000$
Brady CallaHAWAII PUNCH (HAW)RW318/2/1988 6:23:34 AMNo196 Lbs6 ft0NoNoNo1Pro & Farm970,250$608,916$40,000$25,103$97,025$60,892$No
Brandon CarloHAWAII PUNCH (HAW)D2311/26/1996 3:59:56 AMYes216 Lbs6 ft8NoNoNo3Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$500,000$
Brandon HickeyHAWAII PUNCH (HAW)D236/1/1996 11:07:08 AMYes217 Lbs6 ft3NoNoNo2Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$
Brandon McMillanHAWAII PUNCH (HAW)C293/22/1990No205 Lbs5 ft11NoNoNo2Pro & Farm1,718,000$1,078,193$40,000$25,103$171,800$107,819$No1,718,000$
Brock RadunskeHAWAII PUNCH (HAW)LW/RW368/2/1983 6:13:26 AMNo189 Lbs6 ft0NoNoNo1Pro & Farm1,451,250$910,784$40,000$25,103$145,125$91,078$No
Caleb JonesHAWAII PUNCH (HAW)D225/29/1997 7:45:46 AMYes216 Lbs6 ft6NoNoNo3Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$500,000$
Colton PointHAWAII PUNCH (HAW)G213/4/1998 3:36:57 AMYes223 Lbs6 ft4NoNoNo2Pro & Farm450,000$282,414$40,000$25,103$45,000$28,241$No450,000$
Derick BrassardHAWAII PUNCH (HAW)C329/22/1987No206 Lbs6 ft1NoNoNo1Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$NoNHL Link
Eddie LackHAWAII PUNCH (HAW)G318/5/1988No200 Lbs6 ft4NoNoNo1Pro & Farm725,000$455,000$40,000$25,103$72,500$45,500$No
Filip ChlapikHAWAII PUNCH (HAW)C226/3/1997 4:48:52 AMYes209 Lbs6 ft4NoNoNo4Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$500,000$500,000$
Filip HållanderHAWAII PUNCH (HAW)C196/29/2000 7:43:47 AMYes190 Lbs6 ft1NoNoNo3Pro & Farm550,000$345,172$40,000$25,103$55,000$34,517$No550,000$550,000$
Gustav OlofssonHAWAII PUNCH (HAW)D2512/1/1994 4:02:32 AMNo203 Lbs6 ft4NoNoNo1Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No
Igor ShestyorkinHAWAII PUNCH (HAW)G2411/30/1995 7:13:57 AMYes199 Lbs6 ft2NoNoNo3Pro & Farm600,000$376,552$40,000$25,103$60,000$37,655$No600,000$600,000$
Jack DruryHAWAII PUNCH (HAW)C206/1/1999 7:12:59 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$376,552$40,000$25,103$60,000$37,655$No600,000$600,000$
Jack GloverHAWAII PUNCH (HAW)D235/17/1996 11:15:47 AMYes204 Lbs6 ft6NoNoNo2Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$
Jamie McGinnHAWAII PUNCH (HAW)LW/RW318/5/1988No215 Lbs6 ft1NoNoNo2Pro & Farm2,850,001$1,788,621$40,000$25,103$285,000$178,862$No2,850,001$NHL Link
Jett WooHAWAII PUNCH (HAW)D197/27/2000 7:04:26 AMYes201 Lbs6 ft0NoNoNo3Pro & Farm650,000$407,931$40,000$25,103$65,000$40,793$No650,000$650,000$
Keegan KanzigHAWAII PUNCH (HAW)D246/22/1995 7:24:00 AMYes193 Lbs6 ft3NoNoNo1Pro & Farm400,000$251,034$40,000$25,103$40,000$25,103$No
Marko DanoHAWAII PUNCH (HAW)C/LW/RW2511/30/1994 1:59:45 AMYes197 Lbs5 ft11NoNoNo3Pro & Farm650,000$407,931$40,000$25,103$65,000$40,793$No650,000$650,000$NHL Link
Pontus AbergHAWAII PUNCH (HAW)LW/RW259/10/1994 2:57:59 AMNo224 Lbs6 ft3NoNoNo1Pro & Farm575,000$360,862$40,000$25,103$57,500$36,086$No
Steve EmingerHAWAII PUNCH (HAW)D3610/31/1983No209 Lbs6 ft2NoNoNo1Pro & Farm400,000$251,034$40,000$25,103$40,000$25,103$No
Tyson StrachanHAWAII PUNCH (HAW)D3510/30/1984No227 Lbs6 ft2NoNoNo1Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No
Vitek VanecekHAWAII PUNCH (HAW)G236/1/1996 5:07:45 AMNo191 Lbs6 ft3NoNoNo3Pro & Farm500,000$313,793$40,000$25,103$50,000$31,379$No500,000$500,000$
Wade AllisonHAWAII PUNCH (HAW)RW216/1/1998 10:36:03 AMYes209 Lbs6 ft2NoNoNo1Pro & Farm650,000$407,931$40,000$25,103$65,000$40,793$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.41204 Lbs6 ft21.97729,638$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus AbergBrandon McMillanAndrei Altybarmakyan36005
2Marko DanoBarrett HaytonBrady Calla32113
3Jamie McGinnDerick BrassardBrock Radunske22122
4Filip ChlapikFilip HållanderWade Allison10104
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Steve EmingerAdam Fox38131
2Gustav OlofssonJett Woo31131
3Caleb JonesJack Glover29131
4Adam FoxSteve Eminger2131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pontus AbergBarrett HaytonBrady Calla55113
2Marko DanoBrandon McMillanAndrei Altybarmakyan45005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesJett Woo60122
2Gustav OlofssonSteve Eminger40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brandon McMillanBrady Calla60131
2Jamie McGinnAndrei Altybarmakyan40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesSteve Eminger55140
2Jack GloverGustav Olofsson45140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brady Calla55050Caleb JonesJack Glover55050
2Jamie McGinn45050Gustav OlofssonSteve Eminger45050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Barrett HaytonWade Allison60104
2Filip HållanderPontus Aberg40113
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Caleb JonesAdam Fox60122
2Jett WooSteve Eminger40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Pontus AbergMarko DanoBrock RadunskeCaleb JonesJett Woo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brock RadunskeDerick BrassardBrady CallaCaleb JonesJack Glover
Extra Forwards
Normal PowerPlayPenalty Kill
Brandon McMillan, Jamie McGinn, Filip ChlapikBrandon McMillan, Barrett HaytonFilip Chlapik
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Glover, Caleb Jones, Gustav OlofssonAdam FoxJack Glover, Gustav Olofsson
Penalty Shots
Barrett Hayton, Marko Dano, Brady Calla, Caleb Jones, Derick Brassard
Goalie
#1 : Al Montoya, #2 : Eddie Lack
Custom OT Lines Forwards
Barrett Hayton, Brandon McMillan, Marko Dano, Pontus Aberg, Jamie McGinn, Filip Chlapik, Filip Chlapik, Andrei Altybarmakyan, Filip Hållander, Wade Allison, Brady Calla
Custom OT Lines Defensemen
Jack Glover, Caleb Jones, Gustav Olofsson, Steve Eminger, Adam Fox


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
1BROOKLYN GRINDERS11000000514000000000001100000051421.00058130031315193830931730633291311246350.00%30100.00%033064850.93%30565146.85%25750750.69%674376692299582287
2CAPE FEAR WILDCATS20101000810-220101000810-20000000000020.500813210031315196330931730633681818444250.00%9366.67%133064850.93%30565146.85%25750750.69%674376692299582287
3COLORADO CUBS1010000035-2000000000001010000035-200.0003471031315193430931730633294023200.00%000.00%033064850.93%30565146.85%25750750.69%674376692299582287
4COQUITLAM EXPRESS4300000117107210000019632200000084470.875172542003131519110309317306339436949421628.57%17570.59%033064850.93%30565146.85%25750750.69%674376692299582287
5EDMONTON OILERS211000008801010000035-21100000053220.50081422003131519543093173063357162746400.00%6183.33%033064850.93%30565146.85%25750750.69%674376692299582287
6HALIFAX HELL530010101912732000010128421001000743101.00019284700313151915330931730633152614510613215.38%10370.00%033064850.93%30565146.85%25750750.69%674376692299582287
7LAS CRUCES MESCALEROS3110001010820000000000031100010108240.66710152500313151994309317306339237517316212.50%8362.50%033064850.93%30565146.85%25750750.69%674376692299582287
8MANHATTAN SWEDES1010000024-21010000024-20000000000000.00024600313151930309317306332051420200.00%7357.14%033064850.93%30565146.85%25750750.69%674376692299582287
9NEWTON NIGHTHAWKS20000200810-21000010034-11000010056-120.50081422003131519663093173063373329435360.00%2150.00%033064850.93%30565146.85%25750750.69%674376692299582287
10PINCHER CREEK WOLVERINES53100010201462110000075232000010139480.80020365600313151915430931730633136564710114428.57%21766.67%033064850.93%30565146.85%25750750.69%674376692299582287
11SYRACUSE BABY BULLS402011001115-430200100712-51000100043130.37511172800313151910230931730633132393491300.00%17570.59%033064850.93%30565146.85%25750750.69%674376692299582287
Total3213903331119106131656012115759-2168302120624715420.656119193312103131519950309317306339463353756991032625.24%1103270.91%133064850.93%30565146.85%25750750.69%674376692299582287
13VANCOUVER THOUSANDAIRES2110000089-1110000006511010000024-220.5008152300313151952309317306336418253413430.77%10190.00%033064850.93%30565146.85%25750750.69%674376692299582287
_Since Last GM Reset3213903331119106131656012115759-2168302120624715420.656119193312103131519950309317306339463353756991032625.24%1103270.91%133064850.93%30565146.85%25750750.69%674376692299582287
_Vs Conference3012803331111100111656012115759-2147202120544113400.66711118129200313151987830931730633888318364652952324.21%1073270.09%133064850.93%30565146.85%25750750.69%674376692299582287
_Vs Division211040213177591810430011135314116102020422814320.7627712119800313151961330931730633606229271465671420.90%732368.49%033064850.93%30565146.85%25750750.69%674376692299582287

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3242L311919331295094633537569910
All Games
GPWLOTWOTL SOWSOLGFGA
321393331119106
Home Games
GPWLOTWOTL SOWSOLGFGA
165612115759
Visitor Games
GPWLOTWOTL SOWSOLGFGA
168321206247
Last 10 Games
WLOTWOTL SOWSOL
530200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1032625.24%1103270.91%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
309317306333131519
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33064850.93%30565146.85%25750750.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
674376692299582287


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 - 2019-09-0610HAWAII PUNCH3COLORADO CUBS5LBoxScore
3 - 2019-09-0720COQUITLAM EXPRESS5HAWAII PUNCH4LXXBoxScore
5 - 2019-09-0930PINCHER CREEK WOLVERINES1HAWAII PUNCH4WBoxScore
7 - 2019-09-1144HAWAII PUNCH4COQUITLAM EXPRESS1WBoxScore
8 - 2019-09-1251COQUITLAM EXPRESS1HAWAII PUNCH5WBoxScore
9 - 2019-09-1357HAWAII PUNCH5PINCHER CREEK WOLVERINES4WXXBoxScore
11 - 2019-09-1574HAWAII PUNCH5LAS CRUCES MESCALEROS3WBoxScore
13 - 2019-09-1782SYRACUSE BABY BULLS3HAWAII PUNCH2LBoxScore
14 - 2019-09-1894HAWAII PUNCH3LAS CRUCES MESCALEROS2WXXBoxScore
16 - 2019-09-20103HAWAII PUNCH4COQUITLAM EXPRESS3WBoxScore
17 - 2019-09-21109CAPE FEAR WILDCATS3HAWAII PUNCH4WXBoxScore
19 - 2019-09-23125HALIFAX HELL3HAWAII PUNCH4WXXBoxScore
21 - 2019-09-25137HAWAII PUNCH4SYRACUSE BABY BULLS3WXBoxScore
23 - 2019-09-27147SYRACUSE BABY BULLS4HAWAII PUNCH3LXBoxScore
24 - 2019-09-28159PINCHER CREEK WOLVERINES4HAWAII PUNCH3LBoxScore
25 - 2019-09-29170HAWAII PUNCH2LAS CRUCES MESCALEROS3LBoxScore
26 - 2019-09-30175HAWAII PUNCH4PINCHER CREEK WOLVERINES3WBoxScore
29 - 2019-10-03188HAWAII PUNCH5HALIFAX HELL3WBoxScore
30 - 2019-10-04197CAPE FEAR WILDCATS7HAWAII PUNCH4LBoxScore
33 - 2019-10-07213HAWAII PUNCH4PINCHER CREEK WOLVERINES2WBoxScore
34 - 2019-10-08219SYRACUSE BABY BULLS5HAWAII PUNCH2LBoxScore
35 - 2019-10-09235VANCOUVER THOUSANDAIRES5HAWAII PUNCH6WBoxScore
38 - 2019-10-12249HALIFAX HELL2HAWAII PUNCH3WBoxScore
39 - 2019-10-13255HAWAII PUNCH5EDMONTON OILERS3WBoxScore
41 - 2019-10-15268HAWAII PUNCH5BROOKLYN GRINDERS1WBoxScore
43 - 2019-10-17277HALIFAX HELL3HAWAII PUNCH5WBoxScore
45 - 2019-10-19293NEWTON NIGHTHAWKS4HAWAII PUNCH3LXBoxScore
46 - 2019-10-20303HAWAII PUNCH5NEWTON NIGHTHAWKS6LXBoxScore
49 - 2019-10-23314HAWAII PUNCH2HALIFAX HELL1WXBoxScore
50 - 2019-10-24324EDMONTON OILERS5HAWAII PUNCH3LBoxScore
51 - 2019-10-25336HAWAII PUNCH2VANCOUVER THOUSANDAIRES4LBoxScore
53 - 2019-10-27344MANHATTAN SWEDES4HAWAII PUNCH2LBoxScore
55 - 2019-10-29358PINCHER CREEK WOLVERINES-HAWAII PUNCH-
57 - 2019-10-31369HAWAII PUNCH-PHILADELPHIA PHANTOMS-
58 - 2019-11-01381HAWAII PUNCH-HALIFAX HELL-
59 - 2019-11-02386BANGOR PUPPIES-HAWAII PUNCH-
61 - 2019-11-04399HAWAII PUNCH-NORTH VAN ROCKERS-
63 - 2019-11-06411COQUITLAM EXPRESS-HAWAII PUNCH-
65 - 2019-11-08425SAN JOSE AVACADOES-HAWAII PUNCH-
66 - 2019-11-09432HAWAII PUNCH-EDMONTON OILERS-
68 - 2019-11-11443HAWAII PUNCH-CAPE BRETON LEPRECHAUNS-
69 - 2019-11-12451HAWAII PUNCH-PINCHER CREEK WOLVERINES-
70 - 2019-11-13459LAS CRUCES MESCALEROS-HAWAII PUNCH-
71 - 2019-11-14470HAWAII PUNCH-PENSACOLA BLACK BEARS-
73 - 2019-11-16482CAPE BRETON LEPRECHAUNS-HAWAII PUNCH-
75 - 2019-11-18498HAWAII PUNCH-CHICAGO UNDERTAKERS-
76 - 2019-11-19502PHILADELPHIA PHANTOMS-HAWAII PUNCH-
79 - 2019-11-22518SYRACUSE BABY BULLS-HAWAII PUNCH-
81 - 2019-11-24527HAWAII PUNCH-SAN JOSE AVACADOES-
83 - 2019-11-26541COLORADO CUBS-HAWAII PUNCH-
84 - 2019-11-27552HAWAII PUNCH-SYRACUSE BABY BULLS-
86 - 2019-11-29563NORTH VAN ROCKERS-HAWAII PUNCH-
88 - 2019-12-01573HAWAII PUNCH-COLORADO CUBS-
89 - 2019-12-02583HAWAII PUNCH-BANGOR PUPPIES-
90 - 2019-12-03591COQUITLAM EXPRESS-HAWAII PUNCH-
92 - 2019-12-05603HAWAII PUNCH-LAS CRUCES MESCALEROS-
93 - 2019-12-06612BROOKLYN GRINDERS-HAWAII PUNCH-
96 - 2019-12-09628HALIFAX HELL-HAWAII PUNCH-
97 - 2019-12-10637HAWAII PUNCH-MANHATTAN SWEDES-
98 - 2019-12-11644HAWAII PUNCH-NORTH VAN ROCKERS-
100 - 2019-12-13655MANHATTAN SWEDES-HAWAII PUNCH-
102 - 2019-12-15669HAWAII PUNCH-CALGARY WRANGLERS-
103 - 2019-12-16677PINCHER CREEK WOLVERINES-HAWAII PUNCH-
105 - 2019-12-18689HAWAII PUNCH-VANCOUVER THOUSANDAIRES-
106 - 2019-12-19696HAWAII PUNCH-COQUITLAM EXPRESS-
107 - 2019-12-20704CHICAGO UNDERTAKERS-HAWAII PUNCH-
109 - 2019-12-22721CAPE FEAR WILDCATS-HAWAII PUNCH-
111 - 2019-12-24733HAWAII PUNCH-SYRACUSE BABY BULLS-
Trade Deadline --- Trades can’t be done after this day is simulated!
113 - 2019-12-26743DETROIT STEELERS-HAWAII PUNCH-
115 - 2019-12-28758HAWAII PUNCH-NEWTON NIGHTHAWKS-
116 - 2019-12-29765COQUITLAM EXPRESS-HAWAII PUNCH-
117 - 2019-12-30769HAWAII PUNCH-CAPE FEAR WILDCATS-
119 - 2020-01-01782HAWAII PUNCH-COQUITLAM EXPRESS-
120 - 2020-01-02791NEWTON NIGHTHAWKS-HAWAII PUNCH-
121 - 2020-01-03801HAWAII PUNCH-DETROIT STEELERS-
123 - 2020-01-05811CALGARY WRANGLERS-HAWAII PUNCH-
126 - 2020-01-08831PENSACOLA BLACK BEARS-HAWAII PUNCH-
127 - 2020-01-09834HAWAII PUNCH-MANHATTAN SWEDES-
131 - 2020-01-13853VANCOUVER THOUSANDAIRES-HAWAII PUNCH-
132 - 2020-01-14858HAWAII PUNCH-CAPE FEAR WILDCATS-
134 - 2020-01-16873LAS CRUCES MESCALEROS-HAWAII PUNCH-
135 - 2020-01-17881HAWAII PUNCH-COLORADO CUBS-
139 - 2020-01-21901LAS CRUCES MESCALEROS-HAWAII PUNCH-
144 - 2020-01-26922EDMONTON OILERS-HAWAII PUNCH-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance26,86115,791
Attendance PCT83.94%98.69%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
26 2666 - 88.86% 73,563$1,177,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,229,332$ 2,115,950$ 116,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,115,950$ 819,688$ 29 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,912,625$ 91 22,179$ 2,018,289$




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
7843235010610272274-242151606500137140-342171904110135134164272455727406695100112325711799780382351774155418352585621.71%3258573.85%3890165753.71%893167253.41%691126354.71%177397017417981560777
83213903331119106131656012115759-216830212062471542119193312103131519950309317306339463353756991032625.24%1103270.91%133064850.93%30565146.85%25750750.69%674376692299582287
Total Regular Season11645440139413913801158202207711194199-55825220623019718116106391648103950971261512032751020111610867132971109192925343618222.71%43511773.10%41220230552.93%1198232351.57%948177053.56%244713472433109721431064
Playoff
7734000001520-53300000095440400000615-961525401033721603069574179716915830620.00%27581.48%08515156.29%6612751.97%448452.38%139691436914070
Total Playoff734000001520-53300000095440400000615-961525401033721603069574179716915830620.00%27581.48%08515156.29%6612751.97%448452.38%139691436914070