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BROOKLYN GRINDERS
GP: 65 | W: 34 | L: 27 | OTL: 4 | P: 72
GF: 242 | GA: 242 | PP%: 19.33% | PK%: 77.36%
GM : Kyle B | Morale : 94 | Team Overall : 65
Next Games #723 vs NORTH VAN ROCKERS

Game Center
BROOKLYN GRINDERS
34-27-4, 72pts
4
5 CALGARY WRANGLERS
40-19-5, 85pts
Team Stats
W1StreakW2
18-13-1Home Record21-8-3
16-14-3Home Record19-11-2
7-3-0Last 10 Games6-4-0
3.72Goals Per Game3.84
3.72Goals Against Per Game3.31
19.33%Power Play Percentage21.05%
77.36%Penalty Kill Percentage80.88%
BROOKLYN GRINDERS
34-27-4, 72pts
6
3 HALIFAX HELL
41-19-5, 87pts
Team Stats
W1StreakL2
18-13-1Home Record23-7-3
16-14-3Home Record18-12-2
7-3-0Last 10 Games5-4-1
3.72Goals Per Game3.92
3.72Goals Against Per Game3.00
19.33%Power Play Percentage25.94%
77.36%Penalty Kill Percentage81.06%
NORTH VAN ROCKERS
38-24-3, 79pts
Day 120
BROOKLYN GRINDERS
34-27-4, 72pts
Team Stats
W3StreakW1
21-9-2Home Record18-13-1
17-15-1Away Record16-14-3
5-4-1Last 10 Games7-3-0
3.89Goals Per Game3.72
3.58Goals Against Per Game3.72
17.29%Power Play Percentage19.33%
74.76%Penalty Kill Percentage77.36%
CALGARY WRANGLERS
40-19-5, 85pts
Day 122
BROOKLYN GRINDERS
34-27-4, 72pts
Team Stats
W2StreakW1
21-8-3Home Record18-13-1
19-11-2Away Record16-14-3
6-4-0Last 10 Games7-3-0
3.84Goals Per Game3.72
3.31Goals Against Per Game3.72
21.05%Power Play Percentage19.33%
80.88%Penalty Kill Percentage77.36%
BROOKLYN GRINDERS
34-27-4, 72pts
Day 124
DETROIT STEELERS
35-23-7, 77pts
Team Stats
W1StreakW4
18-13-1Home Record21-9-2
16-14-3Away Record14-14-5
7-3-0Last 10 Games7-3-0
3.72Goals Per Game3.83
3.72Goals Against Per Game3.83
19.33%Power Play Percentage24.46%
77.36%Penalty Kill Percentage79.62%
Team Leaders
Goals
Kirill Marchenko
39
Assists
Ian Cole
49
Points
Kirill Marchenko
73
Plus/Minus
Felix Nilsson
11
Wins
Calvin Pickard
15
Save Percentage
Calvin Pickard
0.887

Team Stats
Goals For
242
3.72 GFG
Shots For
2156
33.17 Avg
Power Play Percentage
19.3%
29 GF
Offensive Zone Start
37.7%
Goals Against
242
3.72 GAA
Shots Against
1980
30.46 Avg
Penalty Kill Percentage
77.4%%
24 GA
Defensive Zone Start
33.6%
Team Info

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


Arena Info

Capacity3,000
Attendance2,773
Season Tickets300


Roster Info

Pro Team30
Farm Team21
Contract Limit51 / 66
Prospects0


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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
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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)XX100.0017199959497958457768366608788080772252875,000$
2Ridly GreigXX100.0034484929496977368767465707878080741234800,000$
3Will Smith (R)XX99.00611286797674756963737466737579080701202900,000$
4Marco Kasper (R)X100.0034199838486766964646262557774068671211925,000$
5Brad Lambert (R) (A)XX100.00291284857978796271636266678476080661221800,000$
6Ryan Winterton (R)X100.0027699797985776472646258567573080652223700,000$
7Charlie Stramel (R)X100.0063293587865706367636363676773080631212800,000$
8Beckett Sennecke (R)X100.00363568656865666551676460636368075620203900,000$
9Felix Nilsson (R)X100.002398727368656766666163586467080622202700,000$
10Dmitri Buchelnikov (R)X100.00251869707371706252565563586863080602211600,000$
11Nathan Villeneuve (R)X100.00154168665965585957645963565964080582193700,000$
12John Mustard (R)X100.00443388646364666048585661495557079582193650,000$
13Tyler Thorpe (R)X100.00337747646362625847575853545661020562203600,000$
14Dmitry KulikovX100.0031995977918382408064856299990797103521,200,000$
15David Jiříček (R)X100.00641677867584796739636367528774058701221900,000$
16Jeremy Lauzon (A)X100.0078899717889826844675961448777080692281800,000$
17Ian ColeX100.0019999558160749050847469589993080690371600,000$
18Corson Ceulemans (R)X100.00707574777881766544655370447166072681223900,000$
19Tobias Björnfot (R)X100.0027199747979846544645767508078051661241650,000$
Scratches
1Evgeny SvechnikovXXX100.009981407483848581707774546899990557312931,200,000$
2Charles HudonXX100.001199638289788227716553599382025662311500,000$
3Mathias Emilio PettersenX100.001199777479766770585658659180019622251500,000$
4Igor Chernyshov (R)X84.3810988676969686448646258586561069602203800,000$
5Noel Nordh (R)X100.002299737463676154615760546057062592202600,000$
6Alexander Campbell (R)X100.00264376667465645456565458557172020572241600,000$
7Mirco MuellerX100.0025199598469877643675972449990023671302890,000$
8Owen Pickering (R)X100.00391767717567695349605363487071078611221800,000$
TEAM AVERAGE99.3833198572777675685466626357777506465
Filter Tips
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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
1Jakub Málek (R)100.0060636280676669686958586066071662233600,000$
2Eemil Vinni (R)100.0064636165606263595862576056080602203650,000$
Scratches
1Calvin Pickard100.00578084807480819480685999890817823321,300,000$
TEAM AVERAGE100.006069697567697174696358737007768
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Thornton80708070808080CAN4641,450,000$


Filter Tips
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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
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# 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
1Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW5839347362017642938616713.31%31108418.71112723000086241.86%869722211.3500000435
2Will SmithBROOKLYN GRINDERS (BRK)C/RW6526467272801711032124810212.26%38140321.594711171280331752248.79%18241921011.0311000675
3Ridly GreigBROOKLYN GRINDERS (BRK)C/RW65383270-914095592347014216.24%27123519.009918211132023294357.81%648216111.1311000643
4Ian ColeBROOKLYN GRINDERS (BRK)D65649553201610817059703.53%89151223.27110111214400005020%04453100.7300000132
5Brad LambertBROOKLYN GRINDERS (BRK)C/RW65172744-121604267154408711.04%2693014.31112968000031152.11%5684816100.9500000212
6Felix NilssonBROOKLYN GRINDERS (BRK)C651719361100233100295717.00%115899.0700000000005154.29%140202001.2200000120
7Dmitry KulikovBROOKLYN GRINDERS (BRK)D60529342200999248355.43%71117119.52101691000079000%02241000.5800000032
8Marco KasperBROOKLYN GRINDERS (BRK)C508243230045629133718.79%2099219.8516771021011500045.93%2702016000.6400000012
9Corson CeulemansBROOKLYN GRINDERS (BRK)D613293216420237946822264.41%103147724.2224611123000177100%01871000.4300022411
10Ryan WintertonBROOKLYN GRINDERS (BRK)C65161531-9203350113436814.16%20102015.71415101071012201052.31%1952222100.6100000220
11Beckett SenneckeBROOKLYN GRINDERS (BRK)RW6015722-163008646112355613.39%1587314.551237690001311048.28%291816000.5000000120
12Igor ChernyshovBROOKLYN GRINDERS (BRK)LW5361420-90012526721358.96%771213.450113320000142045.33%2251414000.5600000000
13Jeremy LauzonBROOKLYN GRINDERS (BRK)D463172012099393910127.69%3783618.19022160011013000%0927000.4800000111
14David JiříčekBROOKLYN GRINDERS (BRK)D4711718-2291583556431351.56%5683417.76000029000160000%02027000.4300021001
15Evgeny SvechnikovBROOKLYN GRINDERS (BRK)C/LW/RW4110515-62410512160194216.67%73388.2631410580000451050.79%191135000.8900101110
16Kevin ShattenkirkBROOKLYN BLAZERSD2821012-37512334517224.44%3949017.52022013011025110%01116000.4900100010
17Charlie StramelBROOKLYN GRINDERS (BRK)C6556111000894027152518.52%106289.68000070000172059.26%2764000.3500000010
18Owen PickeringBROOKLYN GRINDERS (BRK)D622810-9155100724024215.00%57109017.5901105000059000%0641000.1800100110
19Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW657310-280275151141913.73%135879.04000010000122070.00%1085000.3400000001
20Nathan VilleneuveBROOKLYN GRINDERS (BRK)C65459-260313236102211.11%126089.3600000000001046.15%1368000.3000000001
21Laurent DauphinBROOKLYN BLAZERSC7437118020925131416.00%014120.171121800004108.33%1272000.9900000100
22Tobias BjörnfotBROOKLYN GRINDERS (BRK)D13156120913148127.14%2125519.6400011900008000%007000.4700000100
23Noel NordhBROOKLYN GRINDERS (BRK)LW312465001721569.52%21615.20000000000201030.43%2343000.7400000001
24John MustardBROOKLYN GRINDERS (BRK)LW2241530019131751123.53%422710.34000011000021154.55%1112000.4400000010
25Mirco MuellerBROOKLYN GRINDERS (BRK)D8033-4203311330%913717.210000000008000%066000.4400000000
26Tyler ThorpeBROOKLYN GRINDERS (BRK)RW3011-220220040%0248.120000000000000%900000.8200000000
Team Total or Average1235241413654-3127555130212272156708116411.18%7251936515.68294978123122045910673331349.15%3697521463630.6822344323527
Filter Tips
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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)2715800.8873.6514132108676435501002229101
2Jakub MálekBROOKLYN GRINDERS (BRK)32131140.8793.56175140104857466020.66733116011
3Eemil VinniBROOKLYN GRINDERS (BRK)176800.8653.87745004835518401001220100
Team Total or Average76342740.8803.653910250238197610050436565212


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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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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$140,260$60,000$14,026$No---------------------------
Beckett SenneckeBROOKLYN GRINDERS (BRK)RW202006-01-28CANYes181 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-12FalseFalsePro & Farm900,000$210,390$90,000$21,039$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Brad LambertBROOKLYN GRINDERS (BRK)C/RW222003-12-19FINYes183 Lbs6 ft1NoNoTrade2025-01-10NoNo1FalseFalsePro & Farm800,000$187,013$80,000$18,701$No---------------------------
Calvin PickardBROOKLYN GRINDERS (BRK)G331992-06-30USANo220 Lbs6 ft0NoNoTrade2025-03-08NoYes2FalseFalsePro & Farm1,300,000$303,896$130,000$30,390$No1,300,000$--------40,000$--------No--------
Charles HudonBROOKLYN GRINDERS (BRK)LW/RW311994-09-16CANNo225 Lbs6 ft5NoNoAssign ManuallyNoYes12024-09-20FalseFalsePro & Farm500,000$116,883$50,000$11,688$No---------------------------
Charlie StramelBROOKLYN GRINDERS (BRK)C212004-10-15USAYes230 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$187,013$80,000$18,701$No800,000$--------40,000$--------No--------
Corson CeulemansBROOKLYN GRINDERS (BRK)D222003-05-05CANYes208 Lbs6 ft4NoNoN/ANoNo32025-06-15FalseFalsePro & Farm900,000$210,390$90,000$21,039$No900,000$900,000$-------40,000$40,000$-------NoNo-------
David JiříčekBROOKLYN GRINDERS (BRK)D222003-11-28CZEYes197 Lbs6 ft4NoNoTrade2025-01-10NoNo1FalseFalsePro & Farm900,000$210,390$90,000$21,039$No---------------------------
Dmitri BuchelnikovBROOKLYN GRINDERS (BRK)LW212004-06-01RUSYes187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$140,260$60,000$14,026$No---------------------------
Dmitry KulikovBROOKLYN GRINDERS (BRK)D351990-10-29RUSNo218 Lbs6 ft1NoNoWaiverNoYes22025-06-15FalseFalsePro & Farm1,200,000$280,519$120,000$28,052$No1,200,000$--------40,000$--------No--------
Eemil VinniBROOKLYN GRINDERS (BRK)G202005-12-18FINYes185 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-18FalseFalsePro & Farm650,000$151,948$65,000$15,195$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$280,519$120,000$28,052$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$163,636$70,000$16,364$No700,000$--------40,000$--------No--------
Ian ColeBROOKLYN GRINDERS (BRK)D371989-02-21USANo234 Lbs6 ft1NoNoN/ANoYes12025-06-15FalseFalsePro & Farm600,000$140,260$60,000$14,026$No---------------------------
Igor ChernyshovBROOKLYN GRINDERS (BRK)LW202005-11-30RUSYes192 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$187,013$80,000$18,701$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Jakub MálekBROOKLYN GRINDERS (BRK)G232002-04-11CZEYes170 Lbs6 ft4NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$140,260$60,000$14,026$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Jeremy LauzonBROOKLYN GRINDERS (BRK)D281997-05-29CANNo210 Lbs6 ft2NoNoN/ANoYes1FalseFalsePro & Farm800,000$187,013$80,000$18,701$No---------------------------
John MustardBROOKLYN GRINDERS (BRK)LW192006-06-01CANYes180 Lbs6 ft0NoNoTrade2026-01-08NoNo32025-07-18FalseFalsePro & Farm650,000$151,948$65,000$15,195$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Kirill MarchenkoBROOKLYN GRINDERS (BRK)LW/RW252000-07-21RUSNo199 Lbs6 ft3NoNoN/ANoYes22026-02-23FalseFalsePro & Farm875,000$204,545$87,500$20,455$No875,000$--------40,000$--------No--------
Marco KasperBROOKLYN GRINDERS (BRK)C212004-04-08AUSYes189 Lbs6 ft2NoNoN/ANoNo12025-02-22FalseFalsePro & Farm925,000$216,234$92,500$21,623$No---------------------------
Mathias Emilio PettersenBROOKLYN GRINDERS (BRK)C252000-04-03NORNo185 Lbs5 ft10NoNoTrade2024-06-20NoYes1FalseFalsePro & Farm500,000$116,883$50,000$11,688$No---------------------------
Mirco MuellerBROOKLYN GRINDERS (BRK)D301995-03-21SWINo234 Lbs6 ft6NoNoN/ANoYes22024-06-10FalseFalsePro & Farm890,000$208,052$89,000$20,805$No890,000$--------40,000$--------No--------NHL Link
Nathan VilleneuveBROOKLYN GRINDERS (BRK)C192006-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$163,636$70,000$16,364$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Noel NordhBROOKLYN GRINDERS (BRK)LW202005-06-01SWEYes184 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-08FalseFalsePro & Farm600,000$140,260$60,000$14,026$No600,000$--------40,000$--------No--------
Owen PickeringBROOKLYN GRINDERS (BRK)D222004-01-27CANYes194 Lbs6 ft5NoNoTrade2025-01-22NoNo1FalseFalsePro & Farm800,000$187,013$80,000$18,701$No---------------------------
Ridly GreigBROOKLYN GRINDERS (BRK)C/RW232002-08-08CANNo176 Lbs6 ft1NoNoTrade2024-12-12NoNo42024-06-03FalseFalsePro & Farm800,000$187,013$80,000$18,701$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$163,636$70,000$16,364$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Tobias BjörnfotBROOKLYN GRINDERS (BRK)D242001-04-06SWEYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm650,000$151,948$65,000$15,195$No---------------------------
Tyler ThorpeBROOKLYN GRINDERS (BRK)RW202005-08-11CANYes212 Lbs6 ft5NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$140,260$60,000$14,026$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$210,390$90,000$21,039$No900,000$--------40,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3023.93198 Lbs6 ft22.03781,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ridly GreigWill SmithKirill Marchenko40122
2Brad LambertMarco KasperBeckett Sennecke30122
3Charlie StramelRyan WintertonFelix Nilsson20122
4John MustardTyler ThorpeDmitri Buchelnikov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeCorson Ceulemans40122
2Dmitry KulikovTobias Björnfot30122
3David JiříčekJeremy Lauzon20122
4David JiříčekJeremy Lauzon10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marco KasperWill SmithKirill Marchenko50122
2Ridly GreigRyan WintertonBeckett Sennecke50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ian ColeCorson Ceulemans60122
2Dmitry KulikovTobias Björnfot40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan WintertonWill Smith60122
2Ridly GreigBeckett Sennecke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Corson CeulemansDavid Jiříček60122
2Dmitry KulikovJeremy Lauzon40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brad Lambert60122Ian ColeCorson Ceulemans60122
2Will Smith40122Jeremy LauzonDmitry Kulikov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Will SmithJohn Mustard60122
2Charlie StramelRidly Greig40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tobias BjörnfotDmitry Kulikov60122
2Corson CeulemansJeremy Lauzon40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeWill SmithKirill MarchenkoIan ColeDmitry Kulikov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Beckett SenneckeWill SmithKirill MarchenkoIan ColeDmitry Kulikov
Extra Forwards
Normal PowerPlayPenalty Kill
Tyler Thorpe, Dmitri Buchelnikov, Ridly GreigBeckett Sennecke, Ridly GreigKirill Marchenko
Extra Defensemen
Normal PowerPlayPenalty Kill
Tobias Björnfot, Jeremy Lauzon, Corson CeulemansCorson CeulemansDmitry Kulikov, David Jiříček
Penalty Shots
Ridly Greig, Will Smith, Beckett Sennecke, Charlie Stramel, Brad Lambert
Goalie
#1 : Jakub Málek, #2 : Eemil Vinni
Custom OT Lines Forwards
Marco Kasper, Brad Lambert, Charlie Stramel, Tyler Thorpe, Will Smith, John Mustard, Dmitri Buchelnikov, Ryan Winterton, Ridly Greig, Felix Nilsson
Custom OT Lines Defensemen
Corson Ceulemans, Ian Cole, David Jiříček, Jeremy Lauzon, Tobias Björnfot


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)
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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 PUPPIES312000001114-3211000008711010000037-420.333112233105698854997047856609922925718225.00%7357.14%0699138850.36%600123748.50%518105749.01%143386413515601129566
2CALGARY WRANGLERS411002001516-12100010076120100100810-240.500152439005698854154704785660912654868500.00%4175.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
3CAPE BRETON LEPRECHAUNS513010001618-231101000121022020000048-440.4001626420056988541347047856609160703810821628.57%19384.21%1699138850.36%600123748.50%518105749.01%143386413515601129566
4CAPE FEAR WILDCATS32100000111011010000025-32200000095440.667111829005698854105704785660995338609111.11%4250.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
5COLORADO CUBS613001101621-5311000101010030200100611-550.41716284400569885417970478566091946324107700.00%11554.55%0699138850.36%600123748.50%518105749.01%143386413515601129566
6COQUITLAM EXPRESS11000000312000000000001100000031221.0003690056988543970478566093174236116.67%20100.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
7DETROIT STEELERS11000000642110000006420000000000021.0006111700569885433704785660938130114250.00%000%0699138850.36%600123748.50%518105749.01%143386413515601129566
8EDMONTON OILERS532000001917232100000141132110000056-160.600192746005698854150704785660916058199813323.08%7185.71%0699138850.36%600123748.50%518105749.01%143386413515601129566
9HALIFAX HELL6330000025241312000001215-332100000139460.5002544690056988541947047856609177529812116318.75%14285.71%2699138850.36%600123748.50%518105749.01%143386413515601129566
10HAWAII PUNCH220000001174110000006421100000053241.00011193000569885464704785660971282416116.67%10100.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
11LAS CRUCES MESCALEROS43100000191632110000079-222000000127560.7501932510056988541467047856609101414866116.67%20100.00%1699138850.36%600123748.50%518105749.01%143386413515601129566
12MANHATTAN SWEDES743000002223-131200000812-4431000001411380.5712236581056988542407047856609204631414617423.53%7271.43%0699138850.36%600123748.50%518105749.01%143386413515601129566
13NEWTON NIGHTHAWKS1010000034-1000000000001010000034-100.0003580056988543670478566093313018100.00%000%0699138850.36%600123748.50%518105749.01%143386413515601129566
14PENSACOLA BLACK BEARS11000000642000000000001100000064221.000610160056988543370478566093916416000%2150.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
15PHILADELPHIA PHANTOMS20200000611-51010000036-31010000035-200.000610160056988546070478566095521842000%4175.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
16PINCHER CREEK WOLVERINES513001001425-1121100000910-130200100515-1030.300142438105698854164704785660916681188410110.00%9188.89%0699138850.36%600123748.50%518105749.01%143386413515601129566
17SAN JOSE AVACADOES43001000181082200000010552100100085381.00018325000569885414670478566099739128812216.67%60100.00%0699138850.36%600123748.50%518105749.01%143386413515601129566
18SYRACUSE BABY BULLS4220000014140211000007702110000077040.50014253910569885414770478566091073614925240.00%7271.43%0699138850.36%600123748.50%518105749.01%143386413515601129566
19VANCOUVER THOUSANDAIRES11000000734110000007340000000000021.00071421005698854337047856609348022400.00%000%0699138850.36%600123748.50%518105749.01%143386413515601129566
Total65312702410242242032161301110128124433151401300114118-4720.55424241365540569885421567047856609198072530013021502919.33%1062477.36%4699138850.36%600123748.50%518105749.01%143386413515601129566
_Since Last GM Reset65312702410242242032161301110128124433151401300114118-4720.55424241365540569885421567047856609198072530013021502919.33%1062477.36%4699138850.36%600123748.50%518105749.01%143386413515601129566
_Vs Conference49212102410170178-82411100111091910251011013007987-8520.5311702844543056988541613704785660914865492539721152219.13%881978.41%3699138850.36%600123748.50%518105749.01%143386413515601129566
_Vs Division251212010008889-11247010004149-813850000047407260.520881492372056988548207047856609743254172527681623.53%511178.43%3699138850.36%600123748.50%518105749.01%143386413515601129566

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6572W124241365521561980725300130240
All Games
GPWLOTWOTL SOWSOLGFGA
6531272410242242
Home Games
GPWLOTWOTL SOWSOLGFGA
3216131110128124
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3315141300114118
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1502919.33%1062477.36%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
70478566095698854
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
699138850.36%600123748.50%518105749.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
143386413515601129566


Last Played Games
Filter Tips
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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 GRINDERS4SAN JOSE AVACADOES3WXBox score
60360SAN JOSE AVACADOES1BROOKLYN GRINDERS4WBox score
63374BROOKLYN GRINDERS8LAS CRUCES MESCALEROS4WBox score
65385SYRACUSE BABY BULLS3BROOKLYN GRINDERS5WBox score
66396BROOKLYN GRINDERS3BANGOR PUPPIES7LBox score
68403BROOKLYN GRINDERS3EDMONTON OILERS5LBox score
69413PINCHER CREEK WOLVERINES5BROOKLYN GRINDERS3LBox score
71429COLORADO CUBS2BROOKLYN GRINDERS3WBox score
73439BROOKLYN GRINDERS6HALIFAX HELL4WBox score
75448EDMONTON OILERS6BROOKLYN GRINDERS5LBox score
77462CAPE FEAR WILDCATS5BROOKLYN GRINDERS2LBox score
79474BROOKLYN GRINDERS6CAPE FEAR WILDCATS3WBox score
80479BROOKLYN GRINDERS2EDMONTON OILERS1WBox score
82491BROOKLYN GRINDERS4CALGARY WRANGLERS5LXBox score
84500HALIFAX HELL4BROOKLYN GRINDERS3LBox score
86512BROOKLYN GRINDERS3SYRACUSE BABY BULLS6LBox score
87524CAPE BRETON LEPRECHAUNS2BROOKLYN GRINDERS4WBox score
90538SAN JOSE AVACADOES4BROOKLYN GRINDERS6WBox score
92548BROOKLYN GRINDERS2CAPE BRETON LEPRECHAUNS4LBox score
93560COLORADO CUBS5BROOKLYN GRINDERS3LBox score
95571BROOKLYN GRINDERS1COLORADO CUBS3LBox score
97583DETROIT STEELERS4BROOKLYN GRINDERS6WBox score
99594BROOKLYN GRINDERS2PINCHER CREEK WOLVERINES3LXBox score
100602BANGOR PUPPIES5BROOKLYN GRINDERS3LBox score
102614BROOKLYN GRINDERS4MANHATTAN SWEDES3WBox score
104626BANGOR PUPPIES2BROOKLYN GRINDERS5WBox score
106639BROOKLYN GRINDERS5HAWAII PUNCH3WBox score
108646BROOKLYN GRINDERS6PENSACOLA BLACK BEARS4WBox score
110656MANHATTAN SWEDES2BROOKLYN GRINDERS4WBox score
112669EDMONTON OILERS3BROOKLYN GRINDERS5WBox score
114680BROOKLYN GRINDERS3PHILADELPHIA PHANTOMS5LBox score
115693PHILADELPHIA PHANTOMS6BROOKLYN GRINDERS3LBox score
116701BROOKLYN GRINDERS4CALGARY WRANGLERS5LBox score
118709BROOKLYN GRINDERS6HALIFAX HELL3WBox score
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
Attendance56,77131,967
Attendance PCT88.70%99.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
10 2773 - 92.44% 77,078$2,466,490$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,981,841$ 2,344,000$ 2,344,000$ 1,450,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,344,000$ 1,889,674$ 30 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
770,778$ 36 24,636$ 886,896$




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