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BROOKLYN GRINDERS
GP: 31 | W: 16 | L: 13 | OTL: 2 | P: 34
GF: 106 | GA: 112 | PP%: 16.22% | PK%: 87.23%
GM : Kyle B | Morale : 91 | Team Overall : 66
Next Games #352 vs SAN JOSE AVACADOES

Game Center
BROOKLYN GRINDERS
16-13-2, 34pts
3
1 COQUITLAM EXPRESS
11-18-2, 24pts
Team Stats
W2StreakOTL1
9-6-1Home Record6-8-1
7-7-1Home Record5-10-1
7-3-0Last 10 Games2-7-1
3.42Goals Per Game3.19
3.61Goals Against Per Game4.00
16.22%Power Play Percentage15.69%
87.23%Penalty Kill Percentage78.70%
HAWAII PUNCH
15-14-2, 32pts
4
6 BROOKLYN GRINDERS
16-13-2, 34pts
Team Stats
L1StreakW2
8-6-1Home Record9-6-1
7-8-1Home Record7-7-1
5-4-1Last 10 Games7-3-0
3.32Goals Per Game3.42
3.48Goals Against Per Game3.61
14.75%Power Play Percentage16.22%
73.91%Penalty Kill Percentage87.23%
BROOKLYN GRINDERS
16-13-2, 34pts
Day 59
SAN JOSE AVACADOES
14-16-1, 29pts
Team Stats
W2StreakL5
9-6-1Home Record10-6-0
7-7-1Away Record4-10-1
7-3-0Last 10 Games4-6-0
3.42Goals Per Game2.74
3.61Goals Against Per Game2.74
16.22%Power Play Percentage26.00%
87.23%Penalty Kill Percentage68.60%
SAN JOSE AVACADOES
14-16-1, 29pts
Day 60
BROOKLYN GRINDERS
16-13-2, 34pts
Team Stats
L5StreakW2
10-6-0Home Record9-6-1
4-10-1Away Record7-7-1
4-6-0Last 10 Games7-3-0
2.74Goals Per Game3.42
3.77Goals Against Per Game3.42
26.00%Power Play Percentage16.22%
68.60%Penalty Kill Percentage87.23%
BROOKLYN GRINDERS
16-13-2, 34pts
Day 63
LAS CRUCES MESCALEROS
10-18-4, 24pts
Team Stats
W2StreakW3
9-6-1Home Record4-10-2
7-7-1Away Record6-8-2
7-3-0Last 10 Games5-4-1
3.42Goals Per Game3.13
3.61Goals Against Per Game3.13
16.22%Power Play Percentage16.39%
87.23%Penalty Kill Percentage88.89%
Team Leaders
Goals
Ridly Greig
18
Assists
Will Smith
21
Points
Will Smith
37
Plus/Minus
Noel Nordh
5
Wins
Jakub Málek
7
Save Percentage
Calvin Pickard
0.888

Team Stats
Goals For
106
3.42 GFG
Shots For
1041
33.58 Avg
Power Play Percentage
16.2%
12 GF
Offensive Zone Start
37.8%
Goals Against
112
3.61 GAA
Shots Against
946
30.52 Avg
Penalty Kill Percentage
87.2%%
6 GA
Defensive Zone Start
33.5%
Team Info

General ManagerKyle B
CoachJoe Thornton
DivisionSmythe
ConferenceRosling Conference
CaptainKirill Marchenko
Assistant #1Brad Lambert
Assistant #2Jeremy Lauzon


Arena Info

Capacity3,000
Attendance2,814
Season Tickets300


Roster Info

Pro Team30
Farm Team20
Contract Limit50 / 66
Prospects0


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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
1Kirill Marchenko (C)XX100.0017199959497958457768366608788081772252850,000$
2Ridly GreigXX100.0034484929496977368767465707878078741234800,000$
3Will Smith (R)XX100.00611286797674756963737466737579080701202900,000$
4Marco Kasper (R)X100.0034199838486766964646262557774079671211925,000$
5Brad Lambert (R) (A)XX100.00291284857978796271636266678476082661211800,000$
6Ryan Winterton (R)X100.0027699797985776472646258567573081652223700,000$
7Charlie Stramel (R)X100.0063293587865706367636363676773078631212800,000$
8Beckett Sennecke (R)X100.00363568656865666551676460636368064620193900,000$
9Felix Nilsson (R)X100.002398727368656766666163586467079622202700,000$
10Igor Chernyshov (R)X100.0010988676969686448646258586561081612203800,000$
11Dmitri Buchelnikov (R)X100.00251869707371706252565563586863078602211600,000$
12Noel Nordh (R)X100.002299737463676154615760546057077592202600,000$
13Nathan Villeneuve (R)X100.00154168665965585957645963565964081582193700,000$
14Kevin ShattenkirkX100.002714996075877473408262866499840767103611,200,000$
15Dmitry KulikovX96.7131995977918382408064856299990707103521,200,000$
16Jeremy Lauzon (A)X100.0078899717889826844675961448777074692281800,000$
17Ian ColeX100.0019999558160749050847469589993080690361600,000$
18Corson Ceulemans (R)X100.00707574777881766544655370447166069681223900,000$
19Owen Pickering (R)X100.00391767717567695349605363487071081611211800,000$
Scratches
1Evgeny SvechnikovXXX100.009981407483848581707774546899990737412931,200,000$
2Charles HudonXX100.001199638289788227716553599382059662311500,000$
3Mathias Emilio PettersenX100.001199777479766770585658659180050622251500,000$
4Alexander Campbell (R)X100.00264376667465645456565458557172050582241600,000$
5Tyler Thorpe (R)X100.00337747646362625847575853545661047562203600,000$
6David Jiříček (R)X88.31641677867584796739636367528774053701221900,000$
7Mirco MuellerX100.0025199598469877643675972449990057671302890,000$
8Tobias Björnfot (R)X100.0027199747979846544645767508078082661241650,000$
TEAM AVERAGE99.4532188572777775685467636458797607266
Filter Tips
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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
1Calvin Pickard98.00578084807480819480685999890837823321,300,000$
2Eemil Vinni (R)100.0064636165606263595862576056068602193650,000$
Scratches
1Jakub Málek (R)100.0060636280676669686958586066082662233600,000$
TEAM AVERAGE99.336069697567697174696358737007868
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Thornton80708070808080CAN4641,450,000$


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
1Will SmithBROOKLYN GRINDERS (BRK)C/RW3116213731407651129316812.40%1766321.4224610650220291150.06%873811001.1111000422
2Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW24171532320328121366314.05%1143017.9200001000003043.59%39346011.4900000122
3Ridly GreigBROOKLYN GRINDERS (BRK)C/RW31181028-12405926138356713.04%1254317.5354915661011112047.62%21487001.0311000212
4Ian ColeBROOKLYN GRINDERS (BRK)D3141923-1205487428295.41%5072123.2613476900003020%02028100.6400000131
5Brad LambertBROOKLYN GRINDERS (BRK)C/RW3171522-1210027447216479.72%1051516.64112449000010150.28%356219000.8500000111
6Felix NilssonBROOKLYN GRINDERS (BRK)C31981700021746172519.57%42598.3600000000003155.13%78111001.3100000110
7Dmitry KulikovBROOKLYN GRINDERS (BRK)D2611415-1000453723182.70%2751419.79000241000039000%0919000.5800000011
8Corson CeulemansBROOKLYN GRINDERS (BRK)D3111314-14020126513911102.56%5475124.23022666000038100%0843000.3700022300
9Igor ChernyshovBROOKLYN GRINDERS (BRK)LW3131013-4007263515208.57%338212.3500003000060046.70%182108000.6800000000
10Marco KasperBROOKLYN GRINDERS (BRK)C31381140028374319396.98%1267221.701236661011420043.48%115413000.3300000001
11Kevin ShattenkirkBROOKLYN GRINDERS (BRK)D22279-67511253212176.25%3238517.54022013011019110%0810000.4700100010
12Beckett SenneckeBROOKLYN GRINDERS (BRK)RW26527-9140351647172310.64%528811.08011190000170033.33%697000.4900000000
13Ryan WintertonBROOKLYN GRINDERS (BRK)C31347-142016233122319.68%951516.62101349000000052.94%34613100.2700000010
14Laurent DauphinBROOKLYN BLAZERSC7437118020925131416.00%014120.171121800004108.33%1272000.9900000100
15Charlie StramelBROOKLYN GRINDERS (BRK)C31336-10039121771217.65%52789.0000004000071050.00%1211000.4300000010
16Owen PickeringBROOKLYN GRINDERS (BRK)D31156-135548302411134.17%3355918.0401104000030000%0422000.2100100010
17Tobias BjörnfotBROOKLYN GRINDERS (BRK)D61561003711459.09%910116.840000100005000%004001.1900000100
18David JiříčekBROOKLYN GRINDERS (BRK)D19055-3291541182414170%2533717.7500002900009000%069000.3000021000
19Jeremy LauzonBROOKLYN GRINDERS (BRK)D12235320299135515.38%1021818.1700001300000000%0111000.4600000011
20Noel NordhBROOKLYN GRINDERS (BRK)LW102355001521569.52%212312.3700000000031033.33%943000.8100000001
21Nathan VilleneuveBROOKLYN GRINDERS (BRK)C31134-4202221217134.76%736611.8300000000001050.00%648000.2200000001
22Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW31213-2401120238108.70%52708.7200000000000083.33%652000.2200000000
23Mirco MuellerBROOKLYN GRINDERS (BRK)D8033-4203311330%913717.210000000008000%066000.4400000000
24Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW26000100407250%0692.69000433000025000%12100000000000
Team Total or Average589105180285-6615745616571104136156010.09%351924815.7012213359596235230715649.09%1750236244210.6222243151613
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
1Calvin PickardBROOKLYN GRINDERS (BRK)117300.8883.76623203934917100001011100
2Jakub MálekBROOKLYN GRINDERS (BRK)167620.8823.289140050425229020.66731516001
3Eemil VinniBROOKLYN GRINDERS (BRK)72400.8763.82330002117090000064100
Team Total or Average34161320.8833.531868201109444900233131201


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexander CampbellBROOKLYN GRINDERS (BRK)LW242001-06-01CANYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Beckett SenneckeBROOKLYN GRINDERS (BRK)RW192006-01-28CANYes181 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-12FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Brad LambertBROOKLYN GRINDERS (BRK)C/RW212003-12-19FINYes183 Lbs6 ft1NoNoTrade2025-01-10NoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Calvin PickardBROOKLYN GRINDERS (BRK)G331992-06-30USANo220 Lbs6 ft0NoNoTrade2025-03-08NoYes2FalseFalsePro & Farm1,300,000$818,831$130,000$81,883$No1,300,000$--------40,000$--------No--------
Charles HudonBROOKLYN GRINDERS (BRK)LW/RW311994-09-16CANNo225 Lbs6 ft5NoNoAssign ManuallyNoYes12024-09-20FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Charlie StramelBROOKLYN GRINDERS (BRK)C212004-10-15USAYes230 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$--------40,000$--------No--------
Corson CeulemansBROOKLYN GRINDERS (BRK)D222003-05-05CANYes208 Lbs6 ft4NoNoN/ANoNo32025-06-15FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$900,000$-------40,000$40,000$-------NoNo-------
David JiříčekBROOKLYN GRINDERS (BRK)D222003-11-28CZEYes197 Lbs6 ft4NoNoTrade2025-01-10NoNo1FalseFalsePro & Farm900,000$566,883$90,000$56,688$No---------------------------
Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW212004-06-01RUSYes187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Dmitry KulikovBROOKLYN GRINDERS (BRK)D351990-10-29RUSNo218 Lbs6 ft1NoNoWaiverNoYes22025-06-15FalseFalsePro & Farm1,200,000$755,844$120,000$75,584$No1,200,000$--------40,000$--------No--------
Eemil VinniBROOKLYN GRINDERS (BRK)G192005-12-18FINYes185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-18FalseFalsePro & Farm650,000$409,416$65,000$40,942$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW291996-10-31RUSNo231 Lbs6 ft5NoNoN/ANoYes32025-06-15FalseFalsePro & Farm1,200,000$755,844$120,000$75,584$No1,200,000$1,200,000$-------40,000$40,000$-------NoNo-------
Felix NilssonBROOKLYN GRINDERS (BRK)C202005-06-22SWEYes185 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-06FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$--------40,000$--------No--------
Ian ColeBROOKLYN GRINDERS (BRK)D361989-02-21USANo234 Lbs6 ft1NoNoN/ANoYes12025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Igor ChernyshovBROOKLYN GRINDERS (BRK)LW202005-11-30RUSYes192 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Jakub MálekBROOKLYN GRINDERS (BRK)G232002-04-11CZEYes170 Lbs6 ft4NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Jeremy LauzonBROOKLYN GRINDERS (BRK)D281997-05-29CANNo210 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Kevin ShattenkirkBROOKLYN GRINDERS (BRK)D361989-01-29USANo210 Lbs5 ft11NoNoN/ANoYes12025-06-15FalseFalsePro & Farm1,200,000$755,844$120,000$75,584$No---------------------------
Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW252000-07-21RUSNo199 Lbs6 ft3NoNoN/ANoYes22024-12-16FalseFalsePro & Farm850,000$535,390$85,000$53,539$No850,000$--------40,000$--------No--------
Marco KasperBROOKLYN GRINDERS (BRK)C212004-04-08AUSYes189 Lbs6 ft2NoNoN/ANoNo12025-02-22FalseFalsePro & Farm925,000$582,630$92,500$58,263$No---------------------------
Mathias Emilio PettersenBROOKLYN GRINDERS (BRK)C252000-04-03NORNo185 Lbs5 ft10NoNoTrade2024-06-20NoYes1FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Mirco MuellerBROOKLYN GRINDERS (BRK)D301995-03-21SWINo234 Lbs6 ft6NoNoN/ANoYes22024-06-10FalseFalsePro & Farm890,000$560,584$89,000$56,058$No890,000$--------40,000$--------No--------NHL Link
Nathan VilleneuveBROOKLYN GRINDERS (BRK)C192006-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Noel NordhBROOKLYN GRINDERS (BRK)LW202005-06-01SWEYes184 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-08FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Owen PickeringBROOKLYN GRINDERS (BRK)D212004-01-27CANYes194 Lbs6 ft5NoNoTrade2025-01-22NoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Ridly GreigBROOKLYN GRINDERS (BRK)C/RW232002-08-08CANNo176 Lbs6 ft1NoNoTrade2024-12-12NoNo42024-06-03FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Ryan WintertonBROOKLYN GRINDERS (BRK)C222003-09-04CANYes181 Lbs6 ft3NoNoTrade2024-12-12NoNo32025-06-15FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Tobias BjörnfotBROOKLYN GRINDERS (BRK)D242001-04-06SWEYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$409,416$65,000$40,942$No---------------------------
Tyler ThorpeBROOKLYN GRINDERS (BRK)RW202005-08-11CANYes212 Lbs6 ft5NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Will SmithBROOKLYN GRINDERS (BRK)C/RW202005-03-17USAYes177 Lbs6 ft2NoNoTrade2025-01-22NoNo22024-07-02FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$--------40,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.33199 Lbs6 ft21.97798,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ridly GreigWill SmithKirill Marchenko40122
2Marco KasperBrad LambertBeckett Sennecke30122
3Nathan VilleneuveIgor ChernyshovRyan Winterton20122
4Dmitri BuchelnikovFelix NilssonCharlie Stramel10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeCorson Ceulemans40122
2Dmitry KulikovJeremy Lauzon30122
3Kevin ShattenkirkOwen Pickering20122
4Kevin ShattenkirkOwen Pickering10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marco KasperWill SmithRidly Greig50122
2Brad LambertRyan WintertonBeckett Sennecke50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeCorson Ceulemans60122
2Dmitry KulikovJeremy Lauzon40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marco KasperWill Smith60122
2Ridly GreigBeckett Sennecke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Corson CeulemansKevin Shattenkirk60122
2Dmitry KulikovOwen Pickering40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brad Lambert60122Ian ColeCorson Ceulemans60122
2Will Smith40122Jeremy LauzonDmitry Kulikov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Will SmithBrad Lambert60122
2Charlie StramelRidly Greig40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PickeringDmitry Kulikov60122
2Kevin ShattenkirkJeremy Lauzon40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeWill SmithBrad LambertCorson CeulemansJeremy Lauzon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeWill SmithBrad LambertCorson CeulemansJeremy Lauzon
Extra Forwards
Normal PowerPlayPenalty Kill
Noel Nordh, Dmitri Buchelnikov, Ridly GreigBeckett Sennecke, Ridly GreigNoel Nordh
Extra Defensemen
Normal PowerPlayPenalty Kill
Owen Pickering, Jeremy Lauzon, Corson CeulemansDmitry KulikovDmitry Kulikov, Kevin Shattenkirk
Penalty Shots
Ridly Greig, Will Smith, Beckett Sennecke, Charlie Stramel, Brad Lambert
Goalie
#1 : Eemil Vinni, #2 : Calvin Pickard, #3 : 0
Custom OT Lines Forwards
Marco Kasper, Brad Lambert, Charlie Stramel, Noel Nordh, Will Smith, Igor Chernyshov, Dmitri Buchelnikov, Ryan Winterton, Ridly Greig, Felix Nilsson
Custom OT Lines Defensemen
Corson Ceulemans, Ian Cole, Kevin Shattenkirk, Jeremy Lauzon, Owen Pickering


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
1CALGARY WRANGLERS21000100761210001007610000000000030.750711180029453037234337132456626238200.00%10100.00%033165850.30%28558448.80%24350048.60%686415645268538268
2CAPE BRETON LEPRECHAUNS302010001012-2201010008801010000024-220.3331016260029453038634337132459037226114321.43%110100.00%133165850.30%28558448.80%24350048.60%686415645268538268
3CAPE FEAR WILDCATS11000000321000000000001100000032121.0003580029453034134337132453111018400.00%000%033165850.30%28558448.80%24350048.60%686415645268538268
4COLORADO CUBS30100110911-2100000104312010010058-330.5009142300294530393343371324510732650200.00%3166.67%033165850.30%28558448.80%24350048.60%686415645268538268
5COQUITLAM EXPRESS11000000312000000000001100000031221.0003690029453033934337132453174236116.67%20100.00%033165850.30%28558448.80%24350048.60%686415645268538268
6EDMONTON OILERS11000000422110000004220000000000021.0004610002945303343433713245341713162150.00%40100.00%033165850.30%28558448.80%24350048.60%686415645268538268
7HALIFAX HELL312000001013-321100000911-21010000012-120.3331019290029453039334337132459727727311218.18%6183.33%033165850.30%28558448.80%24350048.60%686415645268538268
8HAWAII PUNCH11000000642110000006420000000000021.000610160029453033334337132453817018200.00%000%033165850.30%28558448.80%24350048.60%686415645268538268
9LAS CRUCES MESCALEROS321000001112-12110000079-21100000043140.66711193000294530311334337132457535450400.00%20100.00%133165850.30%28558448.80%24350048.60%686415645268538268
10MANHATTAN SWEDES523000001418-420200000410-632100000108240.400142337102945303168343371324513548811012325.00%4250.00%033165850.30%28558448.80%24350048.60%686415645268538268
11NEWTON NIGHTHAWKS1010000034-1000000000001010000034-100.0003580029453033634337132453313018100.00%000%033165850.30%28558448.80%24350048.60%686415645268538268
12PINCHER CREEK WOLVERINES31200000917-81100000065120200000312-920.3339142300294530310134337132451034614473133.33%7185.71%033165850.30%28558448.80%24350048.60%686415645268538268
13SAN JOSE AVACADOES11000000422000000000001100000042221.0004812002945303353433713245209423400.00%20100.00%033165850.30%28558448.80%24350048.60%686415645268538268
14SYRACUSE BABY BULLS211000006511010000024-21100000041320.50061016102945303643433713245521810493133.33%5180.00%033165850.30%28558448.80%24350048.60%686415645268538268
15VANCOUVER THOUSANDAIRES11000000734110000007340000000000021.00071421002945303333433713245348022400.00%000%033165850.30%28558448.80%24350048.60%686415645268538268
Total31141301210106112-61676011106465-11577001004247-5340.54810618028620294530310413433713245946351159616741216.22%47687.23%233165850.30%28558448.80%24350048.60%686415645268538268
_Since Last GM Reset31141301210106112-61676011106465-11577001004247-5340.54810618028620294530310413433713245946351159616741216.22%47687.23%233165850.30%28558448.80%24350048.60%686415645268538268
_Vs Conference24911012107688-121245011104449-51256001003239-7240.500761262022029453037873433713245735271151485571119.30%43686.05%133165850.30%28558448.80%24350048.60%686415645268538268
_Vs Division1458010004350-7715010002333-107430000020173120.4294373116202945303452343371324540514111231144920.45%26484.62%133165850.30%28558448.80%24350048.60%686415645268538268

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3134W2106180286104194635115961620
All Games
GPWLOTWOTL SOWSOLGFGA
3114131210106112
Home Games
GPWLOTWOTL SOWSOLGFGA
167611106465
Visitor Games
GPWLOTWOTL SOWSOLGFGA
157701004247
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
741216.22%47687.23%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
34337132452945303
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33165850.30%28558448.80%24350048.60%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
686415645268538268


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
310EDMONTON OILERS2BROOKLYN GRINDERS4WBox score
415BROOKLYN GRINDERS4MANHATTAN SWEDES2WBox score
733CAPE BRETON LEPRECHAUNS4BROOKLYN GRINDERS5WXBox score
844CALGARY WRANGLERS4BROOKLYN GRINDERS3LXBox score
949BROOKLYN GRINDERS2PINCHER CREEK WOLVERINES8LBox score
1266BROOKLYN GRINDERS1HALIFAX HELL2LBox score
1374COLORADO CUBS3BROOKLYN GRINDERS4WXXBox score
1589LAS CRUCES MESCALEROS3BROOKLYN GRINDERS4WBox score
1695BROOKLYN GRINDERS3MANHATTAN SWEDES1WBox score
18112SYRACUSE BABY BULLS4BROOKLYN GRINDERS2LBox score
19122BROOKLYN GRINDERS3CAPE FEAR WILDCATS2WBox score
21131BROOKLYN GRINDERS4SYRACUSE BABY BULLS1WBox score
23143HALIFAX HELL8BROOKLYN GRINDERS3LBox score
24151BROOKLYN GRINDERS2CAPE BRETON LEPRECHAUNS4LBox score
26162BROOKLYN GRINDERS4SAN JOSE AVACADOES2WBox score
28172MANHATTAN SWEDES4BROOKLYN GRINDERS1LBox score
30184BROOKLYN GRINDERS1PINCHER CREEK WOLVERINES4LBox score
32195CAPE BRETON LEPRECHAUNS4BROOKLYN GRINDERS3LBox score
33204BROOKLYN GRINDERS3MANHATTAN SWEDES5LBox score
35216LAS CRUCES MESCALEROS6BROOKLYN GRINDERS3LBox score
37228BROOKLYN GRINDERS3COLORADO CUBS4LXBox score
38236VANCOUVER THOUSANDAIRES3BROOKLYN GRINDERS7WBox score
40246BROOKLYN GRINDERS4LAS CRUCES MESCALEROS3WBox score
42258MANHATTAN SWEDES6BROOKLYN GRINDERS3LBox score
45276PINCHER CREEK WOLVERINES5BROOKLYN GRINDERS6WBox score
47288HALIFAX HELL3BROOKLYN GRINDERS6WBox score
49298BROOKLYN GRINDERS3NEWTON NIGHTHAWKS4LBox score
50308CALGARY WRANGLERS2BROOKLYN GRINDERS4WBox score
52315BROOKLYN GRINDERS2COLORADO CUBS4LBox score
54326BROOKLYN GRINDERS3COQUITLAM EXPRESS1WBox score
56338HAWAII PUNCH4BROOKLYN GRINDERS6WBox score
59352BROOKLYN GRINDERS-SAN JOSE AVACADOES-
60360SAN JOSE AVACADOES-BROOKLYN GRINDERS-
63374BROOKLYN GRINDERS-LAS CRUCES MESCALEROS-
65385SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
66396BROOKLYN GRINDERS-BANGOR PUPPIES-
68403BROOKLYN GRINDERS-EDMONTON OILERS-
69413PINCHER CREEK WOLVERINES-BROOKLYN GRINDERS-
71429COLORADO CUBS-BROOKLYN GRINDERS-
73439BROOKLYN GRINDERS-HALIFAX HELL-
75448EDMONTON OILERS-BROOKLYN GRINDERS-
77462CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
79474BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
80479BROOKLYN GRINDERS-EDMONTON OILERS-
82491BROOKLYN GRINDERS-CALGARY WRANGLERS-
84500HALIFAX HELL-BROOKLYN GRINDERS-
86512BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
87524CAPE BRETON LEPRECHAUNS-BROOKLYN GRINDERS-
90538SAN JOSE AVACADOES-BROOKLYN GRINDERS-
92548BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
93560COLORADO CUBS-BROOKLYN GRINDERS-
95571BROOKLYN GRINDERS-COLORADO CUBS-
97583DETROIT STEELERS-BROOKLYN GRINDERS-
99594BROOKLYN GRINDERS-PINCHER CREEK WOLVERINES-
100602BANGOR PUPPIES-BROOKLYN GRINDERS-
102614BROOKLYN GRINDERS-MANHATTAN SWEDES-
104626BANGOR PUPPIES-BROOKLYN GRINDERS-
106639BROOKLYN GRINDERS-HAWAII PUNCH-
108646BROOKLYN GRINDERS-PENSACOLA BLACK BEARS-
110656MANHATTAN SWEDES-BROOKLYN GRINDERS-
112669EDMONTON OILERS-BROOKLYN GRINDERS-
114680BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
115693PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
116701BROOKLYN GRINDERS-CALGARY WRANGLERS-
118709BROOKLYN GRINDERS-HALIFAX HELL-
120723NORTH VAN ROCKERS-BROOKLYN GRINDERS-
122737CALGARY WRANGLERS-BROOKLYN GRINDERS-
Trade Deadline --- Trades can’t be done after this day is simulated!
124746BROOKLYN GRINDERS-DETROIT STEELERS-
125755BROOKLYN GRINDERS-SYRACUSE BABY BULLS-
126765SYRACUSE BABY BULLS-BROOKLYN GRINDERS-
128774BROOKLYN GRINDERS-CAPE FEAR WILDCATS-
130786LAS CRUCES MESCALEROS-BROOKLYN GRINDERS-
132800BROOKLYN GRINDERS-CAPE BRETON LEPRECHAUNS-
134809CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
136823NEWTON NIGHTHAWKS-BROOKLYN GRINDERS-
137834BROOKLYN GRINDERS-SAN JOSE AVACADOES-
138840BROOKLYN GRINDERS-VANCOUVER THOUSANDAIRES-
140854CAPE FEAR WILDCATS-BROOKLYN GRINDERS-
142867PENSACOLA BLACK BEARS-BROOKLYN GRINDERS-
143874BROOKLYN GRINDERS-NORTH VAN ROCKERS-
146887COQUITLAM EXPRESS-BROOKLYN GRINDERS-
148897BROOKLYN GRINDERS-CHICAGO UNDERTAKERS-
150907BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
152918CHICAGO UNDERTAKERS-BROOKLYN GRINDERS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance29,03415,988
Attendance PCT90.73%99.93%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
26 2814 - 93.80% 78,501$1,256,010$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,457,854$ 2,396,500$ 2,396,500$ 1,450,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,396,500$ 940,002$ 30 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,041,016$ 97 24,977$ 2,422,769$




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