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BROOKLYN GRINDERS
GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 3 | GA: 2 | PP%: 33.33% | PK%: 100.00%
GM : Kyle B | Morale : 52 | Team Overall : 65
Next Games #13 vs HALIFAX HELL
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Game Center
SAN JOSE AVACADOES
0-0-1, 1pts
2
FINAL
3 BROOKLYN GRINDERS
1-0-0, 2pts
Team Stats
SOL1StreakW1
0-0-0Home Record1-0-0
0-0-1Home Record0-0-0
0-0-1Last 10 Games1-0-0
2.00Goals Per Game3.00
3.00Goals Against Per Game2.00
0.00%Power Play Percentage33.33%
66.67%Penalty Kill Percentage100.00%
BROOKLYN GRINDERS
1-0-0, 2pts
Day 3
HALIFAX HELL
0-1-0, 0pts
Team Stats
W1StreakL1
1-0-0Home Record0-0-0
0-0-0Away Record0-1-0
1-0-0Last 10 Games0-1-0
3.00Goals Per Game3.00
2.00Goals Against Per Game3.00
33.33%Power Play Percentage16.67%
100.00%Penalty Kill Percentage50.00%
BROOKLYN GRINDERS
1-0-0, 2pts
Day 5
HALIFAX HELL
0-1-0, 0pts
Team Stats
W1StreakL1
1-0-0Home Record0-0-0
0-0-0Away Record0-1-0
1-0-0Last 10 Games0-1-0
3.00Goals Per Game3.00
2.00Goals Against Per Game3.00
33.33%Power Play Percentage16.67%
100.00%Penalty Kill Percentage50.00%
SAN JOSE AVACADOES
0-0-1, 1pts
Day 7
BROOKLYN GRINDERS
1-0-0, 2pts
Team Stats
SOL1StreakW1
0-0-0Home Record1-0-0
0-0-1Away Record0-0-0
0-0-1Last 10 Games1-0-0
2.00Goals Per Game3.00
3.00Goals Against Per Game3.00
0.00%Power Play Percentage33.33%
66.67%Penalty Kill Percentage100.00%
Team Leaders
Goals
Gage Goncalves
1
Assists
Tobias Björnfot
1
Points
Tobias Björnfot
1
Plus/Minus
Gage Goncalves
1
Wins
Jakub Málek
1
Save Percentage
Jakub Málek
0.923

Team Stats
Goals For
3
3.00 GFG
Shots For
33
33.00 Avg
Power Play Percentage
33.3%
1 GF
Offensive Zone Start
38.3%
Goals Against
2
2.00 GAA
Shots Against
26
26.00 Avg
Penalty Kill Percentage
100.0%%
0 GA
Defensive Zone Start
31.9%
Team Info

General ManagerKyle B
CoachDarryl Sutter
DivisionSmythe
ConferenceRosling Conference
CaptainIan Cole
Assistant #1Matt Boldy
Assistant #2Evgeny Svechnikov


Arena Info

Capacity3,000
Attendance2,952
Season Tickets300


Roster Info

Pro Team35
Farm Team18
Contract Limit53 / 66
Prospects0


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
1Matt Boldy (R) (A)XX100.0040190889593918443717955678980053741223750,000$
2Ryan DonatoX100.0025695798493838073797868569395050742271800,000$
3Evgeny Svechnikov (A)XXX100.009981508484938578687470556899950537312621,133,000$
4Nathan BastianX100.00782872898986876848686867559578053722252650,000$
5Nicklas JensenXX100.007950695981808977507470805399990507223011,937,500$
6Christian FischerX100.008199718189867043697161598379053672262890,000$
7Zach Dean (R)X100.0043782787973686567595662575883053631202700,000$
8Kirill Marchenko (R)XX100.001197797476856357566758607472053632231845,000$
9Marco Kasper (R)X99.0042793686575696264605861557070053611193900,000$
10Gage Goncalves (R)X100.00563382747877776249585255566361053612221550,000$
11Dmitri Buchelnikov (R)X100.00261968697268706550595863586560053602193600,000$
12Aleksanteri Kaskimaki (R)X100.0010584676766706462595762485863053592193500,000$
13Jeremy LauzonX100.00871790818390826744665860448373053712263800,000$
14Dominik MasinX100.009999116477646890449277575986790537122721,050,000$
15Matt CorrenteX100.00939326617662688250766961569999053700351600,000$
16Ian Cole (C)X99.00261699558056748450787671589385053670342910,000$
17Corson Ceulemans (R)X100.00657079787876656344595169446964053661202800,000$
18Tobias Björnfot (R)X100.0037690757471745944645366507674053641223650,000$
Scratches
1Mattias TedenbyX100.00111996473667759366562787799990466503331,450,000$
2Ryan WhiteX100.00988737617561676575656260689999046650352829,000$
3Scott TimminsX100.00605076617670705170505371579192049610341500,000$
4Dana TyrellXX100.00473695647376795361454770589999046610341500,000$
5Cameron AbneyX100.001199657474715940545573589298046612331500,000$
6Brandon SutterXX100.001199657661865384325088769999046600341500,000$
7Nick PalmieriX100.00322199568269774681394871639390046580341500,000$
8Cross Hanas (R)X100.00544697707465675552525258596358049582211600,000$
9Alexander Campbell (R)X100.00264376687365645456565458556667049572223600,000$
10Carter Mazur (R)X100.0021398697266635243514957546161049552202550,000$
11Andrew PeekeX100.00999347868784896534555963448569049722252650,000$
12Luca SbisaX100.006127995880828267506640797899900497003321,030,000$
13Mirco MuellerX100.00354996583748773436456714495830466712811,000,000$
14Dennis PerssonX100.00366380647569763850413274709999046620351500,000$
TEAM AVERAGE99.9447328170787476655461596658848205065
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 SPAgeContractSalary
1Joseph Woll (R)100.0066747680706869727064578669053702252650,000$
2Jakub Málek (R)99.0061636276696164636458586361053632202500,000$
Scratches
1Matt Hackett100.00706774766870727479656599870507203311,100,000$
TEAM AVERAGE99.676668717769666870716260837205268
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Darryl Sutter79787691999951CAN5921,132,000$


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
1Tobias BjörnfotBROOKLYN GRINDERS (BRK)D1011000011000%12121.070110100003000%000000.9500000000
2Corson CeulemansBROOKLYN GRINDERS (BRK)D1011-100001010%02323.650000200003000%000000.8500000000
3Gage Goncalves BROOKLYN GRINDERS (BRK)C110110031100100.00%099.1500000000000025.00%400002.1901000010
4Ian ColeBROOKLYN GRINDERS (BRK)D1011-100103210%12626.000000200005000%002000.7711000000
5Ryan DonatoBROOKLYN GRINDERS (BRK)C1101-2000253020.00%02020.2310112000000164.00%2500000.9900000000
6Nicklas JensenBROOKLYN GRINDERS (BRK)LW/RW1011040414000%11919.350110200002000%000001.0300000000
7Marco KasperBROOKLYN GRINDERS (BRK)C1000-200141100%12323.0000012000040033.33%60200000000000
8Matt BoldyBROOKLYN GRINDERS (BRK)LW/RW1000-200209140%12121.930000200003000%02100011000000
9Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW1000020500120%11313.6800002000020075.00%41000001000000
10Christian FischerBROOKLYN GRINDERS (BRK)RW1000000003010%01010.9300000000000050.00%20000001000000
11Jeremy LauzonBROOKLYN GRINDERS (BRK)D1000000330100%12525.320000100004000%01000000000000
12Nathan BastianBROOKLYN GRINDERS (BRK)RW1000000101010%01010.720000000000000%00000000000000
13Zach DeanBROOKLYN GRINDERS (BRK)C1000000200000%11717.9300002000030075.00%80000000000000
14Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW1000100010000%01010.77000000000100100.00%10000000000000
15Dominik MasinBROOKLYN GRINDERS (BRK)D1000000301010%11313.400000000000000%01100000000000
16Matt CorrenteBROOKLYN GRINDERS (BRK)D1000055301100%01414.800000000000000%00000000000000
17Aleksanteri KaskimakiBROOKLYN GRINDERS (BRK)C1000100000010%099.150000000000000%00000000000000
18Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW1000000012000%01212.920000000000000%00000001000000
Team Total or Average18246-511528143310126.06%930416.891232210000350160.00%5056000.3926000010
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
1Jakub MálekBROOKLYN GRINDERS (BRK)11000.9231.85650022616000.833610000
Team Total or Average11000.9231.8565002261600610000


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 Waiver Possible 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
Aleksanteri KaskimakiBROOKLYN GRINDERS (BRK)C196/1/2004 3:26:04 AMYes180 Lbs6 ft0NoNoNoNo3Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No500,000$500,000$
Alexander CampbellBROOKLYN GRINDERS (BRK)LW226/1/2001 8:00:21 AMYes191 Lbs6 ft2NoNoNoNo3Pro & Farm600,000$596,178$40,000$39,745$60,000$59,618$No600,000$600,000$
Andrew PeekeBROOKLYN GRINDERS (BRK)D256/1/1998 9:24:05 AMNo213 Lbs6 ft1NoNoNoNo2Pro & Farm650,000$645,860$40,000$39,745$65,000$64,586$No650,000$
Brandon SutterBROOKLYN GRINDERS (BRK)C/RW342/14/1989No203 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Cameron AbneyBROOKLYN GRINDERS (BRK)RW338/7/1990 5:32:53 AMNo198 Lbs6 ft0NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Carter MazurBROOKLYN GRINDERS (BRK)LW206/1/2003 7:20:26 AMYes188 Lbs6 ft2NoNoNoNo2Pro & Farm550,000$546,497$40,000$39,745$55,000$54,650$No550,000$
Christian FischerBROOKLYN GRINDERS (BRK)RW264/15/1997 3:47:13 AMNo235 Lbs6 ft4NoNoNoNo2Pro & Farm890,000$884,331$40,000$39,745$89,000$88,433$No890,000$
Corson CeulemansBROOKLYN GRINDERS (BRK)D205/5/2003 8:36:21 AMYes204 Lbs6 ft4NoNoNoNo2Pro & Farm800,000$794,904$40,000$39,745$80,000$79,490$No800,000$
Cross Hanas BROOKLYN GRINDERS (BRK)LW216/1/2002 4:47:11 AMYes185 Lbs6 ft2NoNoNoNo1Pro & Farm600,000$596,178$40,000$39,745$60,000$59,618$No
Dana TyrellBROOKLYN GRINDERS (BRK)C/RW344/23/1989No197 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Dennis PerssonBROOKLYN GRINDERS (BRK)D356/2/1988No201 Lbs6 ft1NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW196/1/2004 8:51:17 AMYes180 Lbs6 ft0NoNoNoNo3Pro & Farm600,000$596,178$40,000$39,745$60,000$59,618$No600,000$600,000$
Dominik MasinBROOKLYN GRINDERS (BRK)D276/1/1996 4:58:16 AMNo206 Lbs6 ft2NoNoNoNo2Pro & Farm1,050,000$1,043,312$40,000$39,745$105,000$104,331$No1,050,000$
Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW2610/31/1996 3:00:50 AMNo228 Lbs6 ft5NoNoNoNo2Pro & Farm1,133,000$1,125,783$40,000$39,745$113,300$112,578$No1,133,000$
Gage Goncalves BROOKLYN GRINDERS (BRK)C221/16/2001 5:06:14 AMYes176 Lbs6 ft1NoNoNoNo1Pro & Farm550,000$546,497$40,000$39,745$55,000$54,650$No
Ian ColeBROOKLYN GRINDERS (BRK)D342/21/1989No234 Lbs6 ft1NoNoNoNo2Pro & Farm910,000$904,204$40,000$39,745$91,000$90,420$No910,000$
Jakub MálekBROOKLYN GRINDERS (BRK)G206/1/2003 7:52:54 AMYes225 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No500,000$
Jeremy LauzonBROOKLYN GRINDERS (BRK)D265/29/1997 4:59:54 AMNo206 Lbs6 ft2NoNoNoNo3Pro & Farm800,000$794,904$40,000$39,745$80,000$79,490$No800,000$800,000$
Joseph WollBROOKLYN GRINDERS (BRK)G257/12/1998 2:37:13 AMYes217 Lbs6 ft1NoNoNoNo2Pro & Farm650,000$645,860$40,000$39,745$65,000$64,586$No650,000$
Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW237/21/2000 7:25:26 AMYes193 Lbs6 ft3NoNoNoNo1Pro & Farm845,000$839,618$40,000$39,745$84,500$83,962$No
Luca SbisaBROOKLYN GRINDERS (BRK)D331/30/1990No224 Lbs6 ft2NoNoNoNo2Pro & Farm1,030,000$1,023,439$40,000$39,745$103,000$102,344$No1,030,000$
Marco KasperBROOKLYN GRINDERS (BRK)C194/8/2004 6:28:01 AMYes183 Lbs6 ft1NoNoNoNo3Pro & Farm900,000$894,268$40,000$39,745$90,000$89,427$No900,000$900,000$
Matt BoldyBROOKLYN GRINDERS (BRK)LW/RW224/5/2001 4:24:53 AMYes205 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$745,223$40,000$39,745$75,000$74,522$No750,000$750,000$
Matt CorrenteBROOKLYN GRINDERS (BRK)D353/17/1988No207 Lbs6 ft0NoNoNoNo1Pro & Farm600,000$596,178$40,000$39,745$60,000$59,618$No
Matt HackettBROOKLYN GRINDERS (BRK)G333/7/1990No190 Lbs6 ft2NoNoNoNo1Pro & Farm1,100,000$1,092,994$40,000$39,745$110,000$109,299$No
Mattias TedenbyBROOKLYN GRINDERS (BRK)LW332/21/1990No195 Lbs5 ft10NoNoNoNo3Pro & Farm1,450,000$1,440,764$40,000$39,745$145,000$144,076$No1,450,000$1,450,000$
Mirco MuellerBROOKLYN GRINDERS (BRK)D283/21/1995 1:36:32 AMNo231 Lbs6 ft6NoNoNoNo1Pro & Farm1,000,000$993,631$40,000$39,745$100,000$99,363$NoNHL Link
Nathan BastianBROOKLYN GRINDERS (BRK)RW2512/6/1997 9:49:39 AMNo214 Lbs6 ft1NoNoNoNo2Pro & Farm650,000$645,860$40,000$39,745$65,000$64,586$No650,000$
Nick PalmieriBROOKLYN GRINDERS (BRK)RW347/12/1989No235 Lbs6 ft3NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Nicklas JensenBROOKLYN GRINDERS (BRK)LW/RW303/6/1993 6:47:41 AMNo230 Lbs6 ft3NoNoNoNo1Pro & Farm1,937,500$1,925,159$1,550,000$1,540,127$193,750$192,516$No
Ryan DonatoBROOKLYN GRINDERS (BRK)C274/9/1996 5:51:18 AMNo200 Lbs6 ft1NoNoNoNo1Pro & Farm800,000$794,904$40,000$39,745$80,000$79,490$No
Ryan WhiteBROOKLYN GRINDERS (BRK)RW353/17/1988No210 Lbs6 ft0NoNoNoNo2Pro & Farm829,000$823,720$40,000$39,745$82,900$82,372$No829,000$
Scott TimminsBROOKLYN GRINDERS (BRK)C349/11/1989No209 Lbs5 ft11NoNoNoNo1Pro & Farm500,000$496,815$40,000$39,745$50,000$49,682$No
Tobias BjörnfotBROOKLYN GRINDERS (BRK)D224/6/2001 4:56:28 AMYes198 Lbs6 ft1NoNoNoNo3Pro & Farm650,000$645,860$40,000$39,745$65,000$64,586$No650,000$650,000$
Zach DeanBROOKLYN GRINDERS (BRK)C201/4/2003 8:47:03 AMYes180 Lbs6 ft0NoNoNoNo2Pro & Farm700,000$695,541$40,000$39,745$70,000$69,554$No700,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3526.89205 Lbs6 ft21.83772,129$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BoldyRyan DonatoMarco Kasper40122
2Nicklas JensenZach DeanKirill Marchenko30122
3Nathan BastianEvgeny SvechnikovChristian Fischer15122
4Dmitri BuchelnikovGage Goncalves Aleksanteri Kaskimaki15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeCorson Ceulemans40122
2Jeremy LauzonTobias Björnfot30122
3Matt CorrenteDominik Masin20032
4Matt CorrenteDominik Masin10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BoldyEvgeny SvechnikovZach Dean50023
2Ryan DonatoMarco KasperNicklas Jensen50023
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jeremy LauzonTobias Björnfot60122
2Ian ColeCorson Ceulemans40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marco KasperNicklas Jensen60032
2Zach DeanMatt Boldy40032
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeJeremy Lauzon60032
2Corson CeulemansTobias Björnfot40032
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Donato60050Ian ColeJeremy Lauzon60050
2Evgeny Svechnikov40050Corson CeulemansTobias Björnfot40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gage Goncalves Nathan Bastian60122
2Aleksanteri KaskimakiDmitri Buchelnikov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeMatt Corrente60122
2Jeremy LauzonDominik Masin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nicklas JensenMarco KasperMatt BoldyJeremy LauzonIan Cole
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nicklas JensenMarco KasperMatt BoldyJeremy LauzonIan Cole
Extra Forwards
Normal PowerPlayPenalty Kill
Christian Fischer, Kirill Marchenko, Zach DeanGage Goncalves , Christian FischerZach Dean
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Corrente, Ian Cole, Tobias BjörnfotJeremy LauzonJeremy Lauzon, Tobias Björnfot
Penalty Shots
Evgeny Svechnikov, Kirill Marchenko, Matt Boldy, Christian Fischer, Gage Goncalves
Goalie
#1 : Jakub Málek, #2 : Joseph Woll
Custom OT Lines Forwards
Ryan Donato, Nicklas Jensen, Nathan Bastian, Matt Boldy, Marco Kasper, Christian Fischer, Christian Fischer, Evgeny Svechnikov, Kirill Marchenko, Zach Dean, Gage Goncalves
Custom OT Lines Defensemen
Jeremy Lauzon, Matt Corrente, Ian Cole, Tobias Björnfot, Corson Ceulemans


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
1SAN JOSE AVACADOES10000010321100000103210000000000021.0003470001123381212726911283133.33%40100.00%0131872.22%71546.67%101471.43%2312229199
Total10000010321100000103210000000000021.0003470001123381212726911283133.33%40100.00%0131872.22%71546.67%101471.43%2312229199
_Since Last GM Reset10000010321100000103210000000000021.0003470001123381212726911283133.33%40100.00%0131872.22%71546.67%101471.43%2312229199
_Vs Conference10000010321100000103210000000000021.0003470001123381212726911283133.33%40100.00%0131872.22%71546.67%101471.43%2312229199

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
12W134733269112800
All Games
GPWLOTWOTL SOWSOLGFGA
100001032
Home Games
GPWLOTWOTL SOWSOLGFGA
100001032
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3133.33%40100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8121270112
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
131872.22%71546.67%101471.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2312229199


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
16SAN JOSE AVACADOES2BROOKLYN GRINDERS3BWXXBoxScore
313BROOKLYN GRINDERS-HALIFAX HELL-
527BROOKLYN GRINDERS-HALIFAX HELL-
737SAN JOSE AVACADOES-BROOKLYN GRINDERS-
950LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
1164BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
1274MANHATTAN SWEDES-BROOKLYN GRINDERS-
1377BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
1490BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
16103BROOKLYN GRINDERS-BANGOR PUPPIES-
17107SAN JOSE AVACADOES-BROOKLYN GRINDERS-
20119BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
22131MANHATTAN SWEDES-BROOKLYN GRINDERS-
24145CALGARY WRANGLERS-BROOKLYN GRINDERS-
27161NEWTON NIGHTHAWKS-BROOKLYN GRINDERS-
28169BROOKLYN GRINDERS-CALGARY WRANGLERS-
30181PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
32191BROOKLYN GRINDERS-HALIFAX HELL-
34203PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
36214BROOKLYN GRINDERS-COQUITLAM EXPRESS-
37225BROOKLYN GRINDERS-SAN JOSE AVACADOES-
39234BROOKLYN GRINDERS-PINCHER CREEK WOLVERINES-
40241EDMONTON OILERS-BROOKLYN GRINDERS-
42254BROOKLYN GRINDERS-SAN JOSE AVACADOES-
43263SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
46278BANGOR PUPPIES-BROOKLYN GRINDERS-
47287BROOKLYN GRINDERS-VANCOUVER THOUSANDAIRES-
49297COLORADO CUBS-BROOKLYN GRINDERS-
52314SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
53320BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
54330BROOKLYN GRINDERS-CALGARY WRANGLERS-
56341DETROIT STEELERS-BROOKLYN GRINDERS-
58354BROOKLYN GRINDERS-VANCOUVER THOUSANDAIRES-
61366PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
63379BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
65388VANCOUVER THOUSANDAIRES-BROOKLYN GRINDERS-
67400BROOKLYN GRINDERS-COLORADO CUBS-
68409CALGARY WRANGLERS-BROOKLYN GRINDERS-
70422BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
72431BROOKLYN GRINDERS-PINCHER CREEK WOLVERINES-
74440COQUITLAM EXPRESS-BROOKLYN GRINDERS-
76452PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
78467PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
79473BROOKLYN GRINDERS-DETROIT STEELERS-
81488BROOKLYN GRINDERS-COLORADO CUBS-
82496COLORADO CUBS-BROOKLYN GRINDERS-
84508BROOKLYN GRINDERS-DETROIT STEELERS-
86516LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
89531BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
90539SAN JOSE AVACADOES-BROOKLYN GRINDERS-
92548BROOKLYN GRINDERS-HAWAII PUNCH-
95564BROOKLYN GRINDERS-HALIFAX HELL-
96571EDMONTON OILERS-BROOKLYN GRINDERS-
99586BROOKLYN GRINDERS-NEWTON NIGHTHAWKS-
100593NORTH VAN ROCKERS-BROOKLYN GRINDERS-
102608CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
104621BROOKLYN GRINDERS-EDMONTON OILERS-
105631LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
107639BROOKLYN GRINDERS-NORTH VAN ROCKERS-
109652BROOKLYN GRINDERS-MANHATTAN SWEDES-
110659CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-
112673COQUITLAM EXPRESS-BROOKLYN GRINDERS-
114683BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
116695HALIFAX HELL-BROOKLYN GRINDERS-
118708BROOKLYN GRINDERS-HAWAII PUNCH-
120720HAWAII PUNCH-BROOKLYN GRINDERS-
121727BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
123742BROOKLYN GRINDERS-MANHATTAN SWEDES-
124746NORTH VAN ROCKERS-BROOKLYN GRINDERS-
Trade Deadline --- Trades can’t be done after this day is simulated!
126762HALIFAX HELL-BROOKLYN GRINDERS-
129777NEWTON NIGHTHAWKS-BROOKLYN GRINDERS-
131788BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
132792BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
134805CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-
135815BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
136827MANHATTAN SWEDES-BROOKLYN GRINDERS-
137834BROOKLYN GRINDERS-BANGOR PUPPIES-
141851SAN JOSE AVACADOES-BROOKLYN GRINDERS-
142856BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
146877CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
148888BROOKLYN GRINDERS-EDMONTON OILERS-
150898CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
153907BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
155919CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance1,9521,000
Attendance PCT97.60%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 2952 - 98.40% 83,320$83,320$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
24,423$ 2,702,450$ 291,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,702,450$ 17,213$ 35 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,416,120$ 156 24,423$ 3,809,988$




BROOKLYN GRINDERS Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

BROOKLYN GRINDERS Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

BROOKLYN GRINDERS Career Team Stats

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

BROOKLYN GRINDERS Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

BROOKLYN GRINDERS Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA