BROOKLYN GRINDERS

GP: 19 | W: 10 | L: 6 | OTL: 3 | P: 23
GF: 67 | GA: 66 | PP%: 22.81% | PK%: 71.11%
GM : Kyle B | Morale : 57 | Team Overall : 63
Next Games #221 vs COLORADO CUBS
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
1Nikolay Goldobin (R)XX100.00665556887988767954787870668871054742
2Brendan Lemieux (R) (A)X100.00886554858885797454747661697673054722
3Laurent Dauphin (R)X100.00856054757776738365777858647376066712
4Jayce Hawryluk (R)XXX100.00755160868578867667686862577974063702
5Ryan Donato (R) (C)X100.00392081858785837471696868567477063702
6Christian Fischer (R)X100.0028586788679776144697161597369063662
7Evgeny Svechnikov (R)XX100.00876665768177706267615751687163057631
8Cody Glass (R)X100.00523070787469765869666458586263061631
9Alex Formenton (R)X100.00662069767168655844665957656054054612
10Isaac Ratcliffe (R)XX100.00592370767857626664585856595956060602
11Aaron GagnonXX100.00565079637465655375535058559792052590
12Nathan Bastian (R)X100.00403070697471696051485664556958060592
13Kirill Marchenko (R)XX100.0018878676166665757595556606055053572
14Mirco Mueller (R) (A)X100.00542386858887877543726266448381037721
15Jeremy Lauzon (R)X100.00493979777578655949555759445856054612
16Andrew Peeke (R)X99.00837367707553625634574762446153054612
17Max Gildon (R)X100.00653570756457635640615856456358052602
18Rasmus Sandin (R)X100.0015490706766656333656159446056052592
19Dmitry Semykin (R)X100.00783369646262605433525455445857060582
Scratches
1Kody Clark (R)X100.00633070585867695759585659555860038572
2Aaron PalushajXX100.00454468687278734659463351527788035540
3Adam HenrichXX100.00484781667353443543393166598868033512
4Matt CorrenteX100.00949925627569687850726560568889061680
5David MusilX100.00554572627968746850635975588576037662
6Davis DrewiskeX100.00413593598060715350483873569090039620
7Cam Dineen (R)X100.00543263797655595133513161506058039582
TEAM AVERAGE99.9658397073757070625261576155726805263
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
1Markus Ruusu (R)99.0064605880676566646360586461062642
2Daniil Tarasov (R)100.0062635864616260616257556259043602
Scratches
1Joseph Woll (R)100.0062585470626160656058576259056602
TEAM AVERAGE99.676360577163636263625857636005461
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brian Sutter72957486919159CAN593829,400$


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
1Brendan LemieuxBROOKLYN GRINDERS (BRK)LW181492374715301754222725.93%630016.712134310000161130.00%10163011.5311102420
2Laurent DauphinBROOKLYN GRINDERS (BRK)C199132273210423955123816.36%1337419.723366420003602051.22%287147001.1702011231
3Nikolay GoldobinBROOKLYN GRINDERS (BRK)LW/RW19713207511540417924468.86%1343823.073477420110580047.12%1042513100.9102021000
4Jayce HawrylukBROOKLYN GRINDERS (BRK)C/LW/RW19610167441033196214299.68%637119.5624610440111262041.67%36189000.8612101300
5Ryan DonatoBROOKLYN GRINDERS (BRK)C19391282013304510306.67%737019.490331361014280152.55%411118000.6501000002
6Rasmus SandinBROOKLYN GRINDERS (BRK)D183811900024104830.00%1333018.340000000003000.00%0311000.6700000010
7Christian FischerBROOKLYN GRINDERS (BRK)RW194599003212961413.79%930616.14112337000000043.75%1617000.5900000012
8Max GildonBROOKLYN GRINDERS (BRK)D1917814082516686.25%1332817.31123242000151000.00%038000.4900000000
9Cody GlassBROOKLYN GRINDERS (BRK)C1944868013184513188.89%422411.82000000000133055.17%8794000.7100000011
10Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW1952724030224982710.20%1028114.80000010000480146.15%52106000.5000000110
11Jeremy LauzonBROOKLYN GRINDERS (BRK)D191569602136941011.11%2646224.32011032000174000.00%0718000.2600000000
12Andrew PeekeBROOKLYN GRINDERS (BRK)D1914573915432518455.56%3146824.66000029000065000.00%0311000.2100111000
13Mirco MuellerBROOKLYN GRINDERS (BRK)D1114560014191812125.56%922220.22011128000010000.00%048000.4500000000
14Matt CorrenteBROOKLYN GRINDERS (BRK)D81340432513984112.50%915219.0811211800006000.00%016000.5200311000
15Nathan BastianBROOKLYN GRINDERS (BRK)RW181345401116165106.25%520511.4200000000000057.14%721000.3900000001
16Alex FormentonBROOKLYN GRINDERS (BRK)LW19224-4209911101318.18%01367.1600000000001050.00%222000.5900000101
17Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW11224-4002582425.00%2867.8300000000000040.00%501000.9300000001
18Isaac RatcliffeBROOKLYN GRINDERS (BRK)C/LW19123-540218208115.00%31628.5601106000000045.10%5113000.3711000000
19Nicolas KerdilesBROOKLYN BLAZERSC/LW/RW1011140101030.00%11717.90000050000000100.00%111001.1200000000
20Dmitry Semykin BROOKLYN GRINDERS (BRK)D18011-2195131210200.00%1026414.6900000000039000.00%005000.0800100000
21David SchlemkoBROOKLYN BLAZERSD1000000200000.00%02020.520000400002000.00%001000.0000000000
22Joffrey LupulBROOKLYN BLAZERSLW/RW1000-100020010.00%01111.100000100000000.00%001000.0000000000
23Davis DrewiskeBROOKLYN GRINDERS (BRK)D1000000020100.00%02020.520000400002000.00%001000.0000000000
24David MusilBROOKLYN GRINDERS (BRK)D1000-120220000.00%22323.970000600005000.00%000000.0000000000
25Aaron GagnonBROOKLYN GRINDERS (BRK)C/RW19000-100100000.00%0191.010000000001000.00%000000.0000000000
Team Total or Average35466107173733159536540156317131511.72%192560015.8213223535418123105179350.51%1069131135110.62397571199
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
1Markus RuusuBROOKLYN GRINDERS (BRK)136520.8883.237240039348176000.0000127021
2Joseph WollBROOKLYN GRINDERS (BRK)43100.8833.25240001311161000.000045000
3Daniil TarasovBROOKLYN GRINDERS (BRK)41010.8604.1518800139356000.667937001
Team Total or Average2110630.8823.3811530065552293000.66791919022


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
Aaron GagnonBROOKLYN GRINDERS (BRK)C/RW335/1/1986No198 Lbs5 ft11NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Aaron PalushajBROOKLYN GRINDERS (BRK)LW/RW319/7/1988No186 Lbs5 ft11NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Adam HenrichBROOKLYN GRINDERS (BRK)LW/RW358/11/1984 5:38:14 AMNo192 Lbs6 ft0NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Alex FormentonBROOKLYN GRINDERS (BRK)LW209/13/1999 1:39:26 AMYes169 Lbs6 ft3NoNoNo2Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No650,000$
Andrew PeekeBROOKLYN GRINDERS (BRK)D216/1/1998 9:24:05 AMYes205 Lbs6 ft1NoNoNo1Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No
Brendan LemieuxBROOKLYN GRINDERS (BRK)LW233/15/1996 4:47:28 AMYes223 Lbs6 ft4NoNoNo1Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No
Cam DineenBROOKLYN GRINDERS (BRK)D216/1/1998 2:46:40 AMYes205 Lbs6 ft1NoNoNo1Pro & Farm400,000$311,724$40,000$31,172$40,000$31,172$No
Christian FischerBROOKLYN GRINDERS (BRK)RW224/15/1997 3:47:13 AMYes225 Lbs6 ft4NoNoNo3Pro & Farm675,000$526,034$40,000$31,172$67,500$52,603$No675,000$675,000$
Cody GlassBROOKLYN GRINDERS (BRK)C204/1/1999 4:42:34 AMYes189 Lbs6 ft3NoNoNo2Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No750,000$
Daniil TarasovBROOKLYN GRINDERS (BRK)G206/1/1999 8:26:18 AMYes203 Lbs6 ft0NoNoNo2Pro & Farm450,000$350,690$40,000$31,172$45,000$35,069$No450,000$
David MusilBROOKLYN GRINDERS (BRK)D264/9/1993 11:18:33 AMNo218 Lbs6 ft4NoNoNo2Pro & Farm1,430,000$1,114,414$40,000$31,172$143,000$111,441$No1,430,000$
Davis DrewiskeBROOKLYN GRINDERS (BRK)D3411/22/1984No228 Lbs6 ft2NoNoNo1Pro & Farm850,000$662,414$40,000$31,172$85,000$66,241$No
Dmitry Semykin BROOKLYN GRINDERS (BRK)D206/1/1999 5:06:58 AMYes200 Lbs6 ft0NoNoNo3Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$500,000$
Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW2310/31/1996 3:00:50 AMYes220 Lbs6 ft5NoNoNo2Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No750,000$
Isaac RatcliffeBROOKLYN GRINDERS (BRK)C/LW206/1/1999 1:14:10 AMYes182 Lbs6 ft0NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Jayce HawrylukBROOKLYN GRINDERS (BRK)C/LW/RW231/1/1996 4:50:15 AMYes208 Lbs6 ft3NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Jeremy LauzonBROOKLYN GRINDERS (BRK)D225/29/1997 4:59:54 AMYes197 Lbs6 ft2NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Joseph WollBROOKLYN GRINDERS (BRK)G216/1/1998 2:37:13 AMYes208 Lbs6 ft1NoNoNo1Pro & Farm300,000$233,793$40,000$31,172$30,000$23,379$No
Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW197/21/2000 7:25:26 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$No650,000$650,000$
Kody ClarkBROOKLYN GRINDERS (BRK)RW206/1/1999 7:22:07 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$467,586$40,000$31,172$60,000$46,759$No600,000$600,000$
Laurent DauphinBROOKLYN GRINDERS (BRK)C246/22/1995 2:48:02 AMYes201 Lbs6 ft3NoNoNo1Pro & Farm425,000$331,207$40,000$31,172$42,500$33,121$No
Markus RuusuBROOKLYN GRINDERS (BRK)G237/1/1996 3:41:09 AMYes209 Lbs6 ft3NoNoNo2Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No500,000$
Matt CorrenteBROOKLYN GRINDERS (BRK)D313/17/1988No205 Lbs6 ft0NoNoNo1Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No
Max GildonBROOKLYN GRINDERS (BRK)D206/1/1999 7:57:26 AMYes203 Lbs6 ft0NoNoNo2Pro & Farm400,000$311,724$40,000$31,172$40,000$31,172$No400,000$
Mirco MuellerBROOKLYN GRINDERS (BRK)D243/21/1995 1:36:32 AMYes223 Lbs6 ft6NoNoNo1Pro & Farm650,000$506,552$40,000$31,172$65,000$50,655$NoNHL Link
Nathan BastianBROOKLYN GRINDERS (BRK)RW216/1/1998 9:49:39 AMYes203 Lbs6 ft1NoNoNo1Pro & Farm500,000$389,655$40,000$31,172$50,000$38,966$No
Nikolay GoldobinBROOKLYN GRINDERS (BRK)LW/RW2410/7/1995 2:25:23 AMYes197 Lbs6 ft3NoNoNo2Pro & Farm725,000$565,000$40,000$31,172$72,500$56,500$No725,000$
Rasmus SandinBROOKLYN GRINDERS (BRK)D193/7/2000 5:55:23 AMYes190 Lbs5 ft11NoNoNo3Pro & Farm750,000$584,483$40,000$31,172$75,000$58,448$No750,000$750,000$
Ryan DonatoBROOKLYN GRINDERS (BRK)C234/9/1996 5:51:18 AMYes193 Lbs6 ft1NoNoNo1Pro & Farm400,000$311,724$40,000$31,172$40,000$31,172$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2923.55201 Lbs6 ft21.69600,172$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinRyan DonatoJayce Hawryluk40122
2Brendan LemieuxLaurent DauphinChristian Fischer30122
3Evgeny SvechnikovCody GlassNathan Bastian20122
4Alex FormentonIsaac RatcliffeKirill Marchenko10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeremy LauzonAndrew Peeke40122
2Mirco MuellerRasmus Sandin30122
3Max GildonDmitry Semykin 20122
4Andrew PeekeRasmus Sandin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikolay GoldobinLaurent DauphinJayce Hawryluk60122
2Brendan LemieuxRyan DonatoChristian Fischer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerMax Gildon60122
2Jeremy LauzonAndrew Peeke40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nikolay GoldobinLaurent Dauphin60122
2Jayce HawrylukRyan Donato40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Andrew PeekeJeremy Lauzon60122
2Max GildonDmitry Semykin 40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nikolay Goldobin60122Mirco MuellerDmitry Semykin 60122
2Laurent Dauphin40122Jeremy LauzonMax Gildon40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nikolay GoldobinLaurent Dauphin60122
2Jayce HawrylukRyan Donato40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mirco MuellerMax Gildon60122
2Andrew PeekeDmitry Semykin 40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinLaurent DauphinJayce HawrylukMirco MuellerJeremy Lauzon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikolay GoldobinLaurent DauphinJayce HawrylukMirco MuellerJeremy Lauzon
Extra Forwards
Normal PowerPlayPenalty Kill
Isaac Ratcliffe, Brendan Lemieux, Evgeny SvechnikovIsaac Ratcliffe, Nikolay GoldobinEvgeny Svechnikov
Extra Defensemen
Normal PowerPlayPenalty Kill
Jeremy Lauzon, Andrew Peeke, Max GildonJeremy LauzonAndrew Peeke, Max Gildon
Penalty Shots
Nikolay Goldobin, Laurent Dauphin, Jayce Hawryluk, Ryan Donato, Isaac Ratcliffe
Goalie
#1 : Markus Ruusu, #2 : Daniil Tarasov
Custom OT Lines Forwards
Nikolay Goldobin, Laurent Dauphin, Jayce Hawryluk, Ryan Donato, Isaac Ratcliffe, Christian Fischer, Christian Fischer, Nathan Bastian, Evgeny Svechnikov, Cody Glass, Alex Formenton
Custom OT Lines Defensemen
Mirco Mueller, Jeremy Lauzon, Dmitry Semykin , Rasmus Sandin, Andrew Peeke


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
1BANGOR PUPPIES311000101413110000010321211000001111040.66714223600162525310315721318517912928477228.57%14657.14%020737255.65%19039448.22%14328949.48%390222425181338161
2CALGARY WRANGLERS11000000936110000009360000000000021.00091524001625253441572131851722621146350.00%3166.67%020737255.65%19039448.22%14328949.48%390222425181338161
3CAPE BRETON LEPRECHAUNS32100000871321000008710000000000040.6678142200162525375157213185176828824922313.64%21480.95%020737255.65%19039448.22%14328949.48%390222425181338161
4HALIFAX HELL10100000310-70000000000010100000310-700.00034700162525324157213185174074519200.00%5420.00%020737255.65%19039448.22%14328949.48%390222425181338161
5MANHATTAN SWEDES11000000321000000000001100000032121.00035800162525333157213185173196253133.33%3233.33%020737255.65%19039448.22%14328949.48%390222425181338161
6NORTH VAN ROCKERS430001001486220000007342100010075270.87514213500162525311615721318517117545787400.00%11190.91%120737255.65%19039448.22%14328949.48%390222425181338161
7PENSACOLA BLACK BEARS40300100918-92010010048-420200000510-510.12591524001625253102157213185171314545759333.33%20575.00%020737255.65%19039448.22%14328949.48%390222425181338161
8PHILADELPHIA PHANTOMS1000000134-11000000134-10000000000010.50035800162525325157213185172691421100.00%7271.43%020737255.65%19039448.22%14328949.48%390222425181338161
Total1996002116766110520011134277944001003339-6230.6056710717400162525356315721318517552192315365571322.81%902671.11%120737255.65%19039448.22%14328949.48%390222425181338161
10VANCOUVER THOUSANDAIRES11000000413000000000001100000041321.0004610001625253411572131851726517283133.33%6183.33%020737255.65%19039448.22%14328949.48%390222425181338161
_Since Last GM Reset1996002116766110520011134277944001003339-6230.6056710717400162525356315721318517552192315365571322.81%902671.11%120737255.65%19039448.22%14328949.48%390222425181338161
_Vs Conference1675002115753410520011134277623001002326-3190.594579214900162525346515721318517455171247293491122.45%761975.00%120737255.65%19039448.22%14328949.48%390222425181338161
_Vs Division1465002104546-18420011022202623001002326-3160.57145721170016252533961572131851740715621225842819.05%661675.76%120737255.65%19039448.22%14328949.48%390222425181338161

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1923L16710717456355219231536500
All Games
GPWLOTWOTL SOWSOLGFGA
199602116766
Home Games
GPWLOTWOTL SOWSOLGFGA
105201113427
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94401003339
Last 10 Games
WLOTWOTL SOWSOL
440101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
571322.81%902671.11%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
157213185171625253
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20737255.65%19039448.22%14328949.48%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
390222425181338161


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 - 2019-09-069CAPE BRETON LEPRECHAUNS2BROOKLYN GRINDERS4WBoxScore
5 - 2019-09-0926BROOKLYN GRINDERS3NORTH VAN ROCKERS4LXBoxScore
6 - 2019-09-1033PENSACOLA BLACK BEARS4BROOKLYN GRINDERS1LBoxScore
7 - 2019-09-1145BROOKLYN GRINDERS4NORTH VAN ROCKERS1WBoxScore
8 - 2019-09-1255NORTH VAN ROCKERS2BROOKLYN GRINDERS3WBoxScore
11 - 2019-09-1568CALGARY WRANGLERS3BROOKLYN GRINDERS9WBoxScore
12 - 2019-09-1681BROOKLYN GRINDERS5BANGOR PUPPIES3WBoxScore
13 - 2019-09-1784BROOKLYN GRINDERS2PENSACOLA BLACK BEARS5LBoxScore
15 - 2019-09-1997NORTH VAN ROCKERS1BROOKLYN GRINDERS4WBoxScore
18 - 2019-09-22114PHILADELPHIA PHANTOMS4BROOKLYN GRINDERS3LXXBoxScore
20 - 2019-09-24131BROOKLYN GRINDERS6BANGOR PUPPIES8LBoxScore
21 - 2019-09-25135BANGOR PUPPIES2BROOKLYN GRINDERS3WXXBoxScore
23 - 2019-09-27148BROOKLYN GRINDERS4VANCOUVER THOUSANDAIRES1WBoxScore
24 - 2019-09-28156CAPE BRETON LEPRECHAUNS4BROOKLYN GRINDERS1LBoxScore
25 - 2019-09-29165BROOKLYN GRINDERS3MANHATTAN SWEDES2WBoxScore
27 - 2019-10-01179PENSACOLA BLACK BEARS4BROOKLYN GRINDERS3LXBoxScore
29 - 2019-10-03189BROOKLYN GRINDERS3PENSACOLA BLACK BEARS5LBoxScore
30 - 2019-10-04200CAPE BRETON LEPRECHAUNS1BROOKLYN GRINDERS3WBoxScore
32 - 2019-10-06210BROOKLYN GRINDERS3HALIFAX HELL10LBoxScore
34 - 2019-10-08221BROOKLYN GRINDERS-COLORADO CUBS-
35 - 2019-10-09229HALIFAX HELL-BROOKLYN GRINDERS-
38 - 2019-10-12246BROOKLYN GRINDERS-VANCOUVER THOUSANDAIRES-
39 - 2019-10-13254PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
41 - 2019-10-15268HAWAII PUNCH-BROOKLYN GRINDERS-
43 - 2019-10-17276BROOKLYN GRINDERS-DETROIT STEELERS-
44 - 2019-10-18289BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
45 - 2019-10-19296CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-
48 - 2019-10-22312VANCOUVER THOUSANDAIRES-BROOKLYN GRINDERS-
49 - 2019-10-23321BROOKLYN GRINDERS-MANHATTAN SWEDES-
51 - 2019-10-25334EDMONTON OILERS-BROOKLYN GRINDERS-
54 - 2019-10-28348BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
55 - 2019-10-29357CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
57 - 2019-10-31370BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
58 - 2019-11-01377CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
60 - 2019-11-03388BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
61 - 2019-11-04400BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
62 - 2019-11-05407CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-
65 - 2019-11-08423CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
67 - 2019-11-10437BROOKLYN GRINDERS-MANHATTAN SWEDES-
68 - 2019-11-11444BROOKLYN GRINDERS-NORTH VAN ROCKERS-
69 - 2019-11-12450SAN JOSE AVACADOES-BROOKLYN GRINDERS-
71 - 2019-11-14467DETROIT STEELERS-BROOKLYN GRINDERS-
72 - 2019-11-15478BROOKLYN GRINDERS-BANGOR PUPPIES-
74 - 2019-11-17488COQUITLAM EXPRESS-BROOKLYN GRINDERS-
75 - 2019-11-18499BROOKLYN GRINDERS-DETROIT STEELERS-
78 - 2019-11-21510PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
79 - 2019-11-22522BROOKLYN GRINDERS-BANGOR PUPPIES-
81 - 2019-11-24532LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
84 - 2019-11-27545BROOKLYN GRINDERS-COQUITLAM EXPRESS-
85 - 2019-11-28555CALGARY WRANGLERS-BROOKLYN GRINDERS-
86 - 2019-11-29565BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
89 - 2019-12-02576PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
90 - 2019-12-03586BROOKLYN GRINDERS-EDMONTON OILERS-
92 - 2019-12-05600CALGARY WRANGLERS-BROOKLYN GRINDERS-
93 - 2019-12-06612BROOKLYN GRINDERS-HAWAII PUNCH-
95 - 2019-12-08620DETROIT STEELERS-BROOKLYN GRINDERS-
97 - 2019-12-10638NORTH VAN ROCKERS-BROOKLYN GRINDERS-
98 - 2019-12-11643BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
99 - 2019-12-12652BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
101 - 2019-12-14666LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
103 - 2019-12-16675BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
105 - 2019-12-18688SAN JOSE AVACADOES-BROOKLYN GRINDERS-
106 - 2019-12-19695BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
108 - 2019-12-21708PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
110 - 2019-12-23726BROOKLYN GRINDERS-SAN JOSE AVACADOES-
111 - 2019-12-24732MANHATTAN SWEDES-BROOKLYN GRINDERS-
Trade Deadline --- Trades can’t be done after this day is simulated!
113 - 2019-12-26744BROOKLYN GRINDERS-SAN JOSE AVACADOES-
114 - 2019-12-27751PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
117 - 2019-12-30770BROOKLYN GRINDERS-PINCHER CREEK WOLVERINES-
118 - 2019-12-31776BANGOR PUPPIES-BROOKLYN GRINDERS-
119 - 2020-01-01789BROOKLYN GRINDERS-COLORADO CUBS-
121 - 2020-01-03799BANGOR PUPPIES-BROOKLYN GRINDERS-
124 - 2020-01-06816SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
127 - 2020-01-09833BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
128 - 2020-01-10838BROOKLYN GRINDERS-CALGARY WRANGLERS-
130 - 2020-01-12843NORTH VAN ROCKERS-BROOKLYN GRINDERS-
132 - 2020-01-14860BROOKLYN GRINDERS-NORTH VAN ROCKERS-
133 - 2020-01-15861BROOKLYN GRINDERS-CALGARY WRANGLERS-
134 - 2020-01-16869COLORADO CUBS-BROOKLYN GRINDERS-
136 - 2020-01-18883BROOKLYN GRINDERS-NEWTON NIGHTHAWKS-
137 - 2020-01-19886BROOKLYN GRINDERS-NORTH VAN ROCKERS-
139 - 2020-01-21896COLORADO CUBS-BROOKLYN GRINDERS-
142 - 2020-01-24911NEWTON NIGHTHAWKS-BROOKLYN GRINDERS-
144 - 2020-01-26919BROOKLYN GRINDERS-SYRACUSE BABY BULLS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3011
Attendance19,7149,989
Attendance PCT98.57%99.89%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2970 - 99.01% 70,130$701,299$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
561,844$ 1,740,500$ 116,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,740,500$ 384,524$ 29 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,244,157$ 113 17,723$ 2,002,699$




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
784194903544250316-664292602311128165-3742102301233122151-2938250409659405310189162276705807730642480811114616742696223.05%3678078.20%2819157552.00%833167349.79%632124150.93%170791118238111568776
81996002116766110520011134277944001003339-6236710717400162525356315721318517552192315365571322.81%902671.11%120737255.65%19039448.22%14328949.48%390222425181338161
Total Regular Season103285503755317382-6552142802422162192-3051142701333155190-3561317516833406912611419283986210209158130321003146120393267523.01%45710676.81%31026194752.70%1023206749.49%775153050.65%2097113422489921906938