Please rotate your device to landscape mode for a better experience.
Login

Hammers
GP: 11 | W: 7 | L: 3 | OTL: 1 | P: 15
GF: 43 | GA: 36 | PP%: 22.95% | PK%: 70.37%
GM : Yves Martel | Morale : 70 | Team Overall : 64
Next Games #194 vs Thunderbirds

Game Center
Bruins
2-7-3, 7pts
1
3 Hammers
7-3-1, 15pts
Team Stats
L4StreakL1
2-3-1Home Record6-0-0
0-4-2Home Record1-3-1
2-6-2Last 10 Games6-3-1
2.58Goals Per Game3.91
4.00Goals Against Per Game3.27
27.91%Power Play Percentage22.95%
70.31%Penalty Kill Percentage70.37%
Hammers
7-3-1, 15pts
2
4 Condors
4-7-1, 9pts
Team Stats
L1StreakW1
6-0-0Home Record3-3-0
1-3-1Home Record1-4-1
6-3-1Last 10 Games4-5-1
3.91Goals Per Game2.67
3.27Goals Against Per Game3.17
22.95%Power Play Percentage20.83%
70.37%Penalty Kill Percentage84.91%
Thunderbirds
7-5-0, 14pts
Day 28
Hammers
7-3-1, 15pts
Team Stats
W1StreakL1
4-2-0Home Record6-0-0
3-3-0Away Record1-3-1
6-4-0Last 10 Games6-3-1
3.17Goals Per Game3.91
3.08Goals Against Per Game3.91
18.00%Power Play Percentage22.95%
87.50%Penalty Kill Percentage70.37%
Hammers
7-3-1, 15pts
Day 30
Bruins
2-7-3, 7pts
Team Stats
L1StreakL4
6-0-0Home Record2-3-1
1-3-1Away Record0-4-2
6-3-1Last 10 Games2-6-2
3.91Goals Per Game2.58
3.27Goals Against Per Game2.58
22.95%Power Play Percentage27.91%
70.37%Penalty Kill Percentage70.31%
Hammers
7-3-1, 15pts
Day 31
Wolf Pack
6-4-2, 14pts
Team Stats
L1StreakL1
6-0-0Home Record4-1-0
1-3-1Away Record2-3-2
6-3-1Last 10 Games5-3-2
3.91Goals Per Game3.33
3.27Goals Against Per Game3.33
22.95%Power Play Percentage23.19%
70.37%Penalty Kill Percentage78.72%
Team Leaders
Goals
Max McCormick
9
Assists
Jesse Ylonen
9
Points
Max McCormick
15
Plus/Minus
Jake Livanavage
8
Wins
Evan Cormier
4
Save Percentage
Spencer Martin
0.916

Team Stats
Goals For
43
3.91 GFG
Shots For
298
27.09 Avg
Power Play Percentage
23.0%
14 GF
Offensive Zone Start
40.3%
Goals Against
36
3.27 GAA
Shots Against
319
29.00 Avg
Penalty Kill Percentage
70.4%%
16 GA
Defensive Zone Start
39.8%
Team Info

General ManagerYves Martel
CoachDon Granato
DivisionAtlantic
ConferenceConference Est
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,966
Season Tickets900


Roster Info

Pro Team30
Farm Team19
Contract Limit49 / 99
Prospects46


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
1Mark Jankowski0X100.0075447865857985668267687464747654706903212,101,000$
2Max McCormick0XX100.0079645064746396735374746462777724706903413,200,000$
3Jesse Ylonen0XX100.0047209967757477676072696669737361706702711,705,000$
4Casey Cizikas0XX97.0067299959764786529055699075999949706703521,845,000$
5Aidan McDonough0XX100.0072729166766269685160736768706968706502631,449,000$
6Connor Milburn0XXX100.0065387364696773634572577455585870706402511,055,000$
7James Stefan (R)0XX100.005832716256646868467172616954577770630232900,000$
8Jackson Cates0XX100.005124976573667461766062606273754670620291975,000$
9Olivier Nadeau0XX100.006835776378636059646262676363606870620231900,000$
10Grant Cruikshank0XX100.006860996672556966675252685073724770610282615,000$
11Cedric Pare0XX100.0076739961796072536355556657747650706102711,076,000$
12Alex Rochefort0XXX100.00696461687869705859585861605555907060N2211895,000$
13Jarred Tinordi0X100.0099992655874581575059477950858639706703421,813,000$
14Simon Johansson0X100.0064589574726677573062556759716963706502721,289,000$
15Charles-Alexis Legault (R)0X100.006848676065667256456554705062597270620232835,000$
16Jake Livanavage (R)0X100.005630736258677364457655695551597770620222835,000$
17Montana Onyebuchi0X100.0092795464785573462552516359686563706202621,162,000$
18Zachary Massicotte0X100.008381886180576943305050644666654470610253835,000$
Scratches
1Emilio Petterson0XX100.0058329066734878636666666366696856706302611,215,000$
2Reese Johnson0XX100.0094695165766673585256596361757344706202831,218,000$
3Trevor Kuntar0XX100.0090775861756571636156576553616166706102531,148,000$
4Jordy Bellerive0X100.0070316862745379557258546462696551706002731,079,000$
5Jacob McGrew0X100.005832715958687259466267606263577070600271615,000$
6Kole Sherwood0X100.0080497759796270555154536462747136706002911,250,009$
7Ludvig Jansson (R)0X100.006030736158667259456754685162637370610222835,000$
8Robbie Russo0X100.0035239963755678512536387350797921706003321,105,000$
9Lachlan Getz0X100.00604368606167735645645167495758677060N0243600,000$
TEAM AVERAGE99.89694976637362745953615967596968577063
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
1Spencer Martin099.007482778177788079787877748850707703123,200,000$
2Evan Cormier0100.006169678170828483827372818535707602821,796,000$
Scratches
1Callum Tung (R)0100.006670667970656766656766636844706702243,200,000$
TEAM AVERAGE99.6767747080727577767573727380437073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato78828083908459USA582900,000$


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
1Max McCormickHammers (NYI)C/LW1196154160392142101921.43%220518.67235947000001050.00%1200001.4600000123
2Jesse YlonenHammers (NYI)LW/RW1159143001173282615.63%020818.912461143000000071.43%1400001.3501000100
3Mark JankowskiHammers (NYI)C11671334073138132715.79%123221.1341515481011261055.79%24200001.1200000112
4Connor MilburnHammers (NYI)C/LW/RW115611-44015181721329.41%119818.052574430003450038.10%2100001.1100000110
5Jake LivanavageHammers (NYI)D111910800022851012.50%2223621.48055644000040000%000000.8500000100
6Casey CizikasHammers (NYI)C/LW1164107604333092120.00%821519.6121312470001421057.27%33000000.9311000100
7Simon JohanssonHammers (NYI)D11156200012163116.25%825623.36022946000041000%000000.4700000010
8Aidan McDonoughHammers (NYI)LW/RW111568606122313374.35%217415.85022349000000057.14%1400000.6900000001
9Charles-Alexis LegaultHammers (NYI)D11055-26010107150%917315.760000600005000%000000.5800000000
10James StefanHammers (NYI)LW/RW11325740391941015.79%111910.8300000000001027.27%1100000.8400000100
11Olivier NadeauHammers (NYI)C/RW11134-2401215121138.33%113312.17000020000000047.02%15100000.6000000000
12Montana OnyebuchiHammers (NYI)D1103383353613130%922320.30000143000032000%000000.2700100000
13Emilio PettersonHammers (NYI)C/LW7213-30038103520.00%09313.292024230001202043.24%3700000.6500000001
14Jackson CatesHammers (NYI)C/LW11022-1000109590%111010.03011170000200067.74%3100000.3600000000
15Jarred TinordiHammers (NYI)D11112322031730433.33%1119717.9600000000028010%000000.2000000000
16Zachary MassicotteHammers (NYI)D11011-21401745010%818216.6000002011020000%000000.1100000000
17Alex RochefortHammers (NYI)C/LW/RW41011203070314.29%04110.4700013000030025.00%400000.4800000000
18Grant CruikshankHammers (NYI)C/LW11011-120114111070%112611.48000010000100070.00%1000000.1600000000
19Cedric PareHammers (NYI)C/LW11011-1406106120%0807.3300000000010050.56%8900000.2500000000
Team Total or Average19842711133812751942542988922614.09%85320916.211424387648011263426153.83%96600000.7012100757
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
1Evan CormierHammers (NYI)74210.8773.6842420262110101.000374010
2Spencer MartinHammers (NYI)43100.9162.272380091070410047000
Team Total or Average117310.8903.17663203531805131111010


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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
Aidan McDonoughHammers (NYI)LW/RW261999-11-06USANo202 Lbs6 ft2NoNoTrade2026-01-30NoNo32026-05-31FalseFalsePro & Farm1,449,000$0$0$No1,449,000$1,449,000$-------1,449,000$1,449,000$-------NoNo-------
Alex RochefortHammers (NYI)C/LW/RW212005-08-24CANNo216 Lbs6 ft4YesNoN/ANoNo1FalseFalsePro & Farm895,000$0$0$No---------------------------
Callum TungHammers (NYI)G222003-11-23CANYes202 Lbs6 ft3NoNoFree AgentNoNo42025-08-22FalseFalsePro & Farm3,200,000$0$0$No3,200,000$3,200,000$3,200,000$------3,200,000$3,200,000$3,200,000$------NoNoNo------
Casey CizikasHammers (NYI)C/LW351991-02-27CANNo215 Lbs6 ft0NoNoTrade2026-01-18NoNo22026-05-31FalseFalsePro & Farm1,845,000$0$0$No1,845,000$--------1,845,000$--------No--------
Cedric PareHammers (NYI)C/LW271999-01-24CANNo218 Lbs6 ft4NoNoTrade2024-11-27NoNo1FalseFalsePro & Farm1,076,000$0$0$No---------------------------
Charles-Alexis LegaultHammers (NYI)D232003-09-05CANYes220 Lbs6 ft4NoNoFree AgentNoNo22026-06-05FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------
Connor MilburnHammers (NYI)C/LW/RW252001-04-11CANNo212 Lbs6 ft5NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm1,055,000$0$0$No---------------------------
Emilio PettersonHammers (NYI)C/LW262000-04-03NORNo193 Lbs5 ft11NoNoTrade2025-01-26NoNo1FalseFalsePro & Farm1,215,000$0$0$No---------------------------
Evan CormierHammers (NYI)G281997-11-06CANNo217 Lbs6 ft3NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,796,000$0$0$No1,796,000$--------1,796,000$--------No--------
Grant CruikshankHammers (NYI)C/LW281998-07-19USANo190 Lbs5 ft11NoNoTrade2025-11-30NoNo22024-07-23FalseFalsePro & Farm615,000$0$0$No615,000$--------615,000$--------No--------
Jackson CatesHammers (NYI)C/LW291997-09-28USANo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No---------------------------
Jacob McGrewHammers (NYI)RW271999-02-25USANo190 Lbs5 ft10NoNoFree AgentNoNo12026-06-05FalseFalsePro & Farm615,000$0$0$No---------------------------
Jake LivanavageHammers (NYI)D222004-05-06USAYes174 Lbs5 ft11NoNoFree AgentNoNo22026-06-05FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------
James StefanHammers (NYI)LW/RW232003-08-09USAYes185 Lbs6 ft0NoNoFree AgentNoNo22026-06-05FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Jarred TinordiHammers (NYI)D341992-02-20USANo253 Lbs6 ft6NoNoN/ANoNo22026-05-31FalseFalsePro & Farm1,813,000$0$0$No1,813,000$--------1,813,000$--------No--------
Jesse YlonenHammers (NYI)LW/RW271999-10-03FINNo196 Lbs6 ft1NoNoTrade2026-08-31NoNo1FalseFalsePro & Farm1,705,000$0$0$No---------------------------
Jordy BelleriveHammers (NYI)C271999-05-02CANNo204 Lbs5 ft10NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,079,000$0$0$No1,079,000$1,079,000$-------1,079,000$1,079,000$-------NoNo-------
Kole SherwoodHammers (NYI)RW291997-01-22USANo218 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,009$0$0$No---------------------------
Lachlan GetzHammers (NYI)D242002-02-01USANo194 Lbs6 ft3YesNoFree AgentNoNo32026-09-02FalseFalsePro & Farm600,000$0$0$No600,000$600,000$-------600,000$600,000$-------YesYes-------
Ludvig JanssonHammers (NYI)D222003-12-27SWEYes181 Lbs6 ft0NoNoProspectNoNo22026-09-29FalseFalsePro & Farm835,000$0$0$No835,000$--------835,000$--------No--------
Mark JankowskiHammers (NYI)C321994-09-13CANNo219 Lbs6 ft4NoNoTrade2025-09-01NoNo1FalseFalsePro & Farm2,101,000$0$0$No---------------------------
Max McCormickHammers (NYI)C/LW341992-05-01USANo200 Lbs5 ft11NoNoFree AgentNoNo12024-07-15FalseFalsePro & Farm3,200,000$0$0$No---------------------------
Montana OnyebuchiHammers (NYI)D262000-03-08CANNo208 Lbs6 ft3NoNoTrade2024-07-14NoNo22025-05-25FalseFalsePro & Farm1,162,000$0$0$No1,162,000$--------1,162,000$--------No--------
Olivier NadeauHammers (NYI)C/RW232003-01-15CANNo209 Lbs6 ft2NoNoTrade2025-03-05NoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Reese JohnsonHammers (NYI)C/RW281998-07-10CANNo203 Lbs6 ft1NoNoTrade2025-11-30NoNo32026-05-31FalseFalsePro & Farm1,218,000$0$0$No1,218,000$1,218,000$-------1,218,000$1,218,000$-------NoNo-------
Robbie RussoHammers (NYI)D331993-02-15USANo202 Lbs6 ft0NoNoN/ANoNo22026-05-31FalseFalsePro & Farm1,105,000$0$0$No1,105,000$--------1,105,000$--------No--------
Simon JohanssonHammers (NYI)D271999-06-14SWENo175 Lbs6 ft2NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,289,000$0$0$No1,289,000$--------1,289,000$--------No--------
Spencer MartinHammers (NYI)G311995-06-08CANNo217 Lbs6 ft3NoNoFree AgentNoNo22024-07-15FalseFalsePro & Farm3,200,000$0$0$No3,200,000$--------3,200,000$--------No--------
Trevor KuntarHammers (NYI)C/LW252001-06-20USANo208 Lbs6 ft0NoNoTrade2026-09-05NoNo32026-05-31FalseFalsePro & Farm1,148,000$0$0$No1,148,000$1,148,000$-------1,148,000$1,148,000$-------NoNo-------
Zachary MassicotteHammers (NYI)D252001-03-15CANNo219 Lbs6 ft4NoNoTrade2026-01-30NoNo32024-07-17FalseFalsePro & Farm835,000$0$0$No835,000$835,000$-------835,000$835,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3026.97205 Lbs6 ft21.901,358,200$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max McCormickMark JankowskiJesse Ylonen40014
2Aidan McDonoughCasey CizikasJames Stefan30023
3Grant CruikshankOlivier NadeauConnor Milburn20131
4Jackson CatesCedric PareAlex Rochefort10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jarred TinordiSimon Johansson40014
2Montana OnyebuchiJake Livanavage30023
3Charles-Alexis LegaultZachary Massicotte20041
4Jarred TinordiSimon Johansson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Max McCormickCasey CizikasAidan McDonough60014
2Connor MilburnOlivier NadeauJesse Ylonen40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark JankowskiSimon Johansson60014
2Montana OnyebuchiJake Livanavage40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Casey CizikasConnor Milburn60140
2Mark JankowskiGrant Cruikshank40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jarred TinordiSimon Johansson60140
2Montana OnyebuchiJake Livanavage40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Casey Cizikas60140Jarred TinordiSimon Johansson60140
2Mark Jankowski40140Montana OnyebuchiJake Livanavage40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Casey CizikasMax McCormick60122
2Mark JankowskiAidan McDonough40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jarred TinordiSimon Johansson60122
2Montana OnyebuchiJake Livanavage40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Max McCormickCasey CizikasAidan McDonoughJarred TinordiSimon Johansson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Casey CizikasMark JankowskiConnor MilburnJarred TinordiSimon Johansson
Extra Forwards
Normal PowerPlayPenalty Kill
Aidan McDonough, Casey Cizikas, Max McCormickConnor Milburn, Max McCormickJackson Cates
Extra Defensemen
Normal PowerPlayPenalty Kill
Charles-Alexis Legault, Zachary Massicotte, Montana OnyebuchiCharles-Alexis LegaultZachary Massicotte, Montana Onyebuchi
Penalty Shots
Casey Cizikas, Jesse Ylonen, Aidan McDonough, Connor Milburn, Alex Rochefort
Goalie
#1 : Spencer Martin, #2 : Evan Cormier


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
OverallHome Visitor
# 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 RI
1Bears21100000871110000005231010000035-220.50081119001316131539010110455519234010330.00%8537.50%021038754.26%20038252.36%11019257.29%2611772638514170
2Bruins11000000312110000003120000000000021.000347001316131339010110451838137228.57%4175.00%021038754.26%20038252.36%11019257.29%2611772638514170
3Condors1010000024-2000000000001010000024-200.000235101316131169010110453781221300.00%4175.00%021038754.26%20038252.36%11019257.29%2611772638514170
4Penguins11000000413110000004130000000000021.0004812001316131239010110451621019400.00%40100.00%021038754.26%20038252.36%11019257.29%2611772638514170
5Phantoms22000000945110000004131100000053241.0009162500131613155901011045601928419111.11%14378.57%121038754.26%20038252.36%11019257.29%2611772638514170
6Thunderbirds1000010034-1000000000001000010034-110.50036900131613135901011045335885120.00%4175.00%021038754.26%20038252.36%11019257.29%2611772638514170
7Wolf Pack10000010541100000105410000000000021.000581300131613127901011045321020195240.00%9277.78%021038754.26%20038252.36%11019257.29%2611772638514170
8Wolves21100000911-2110000007431010000027-520.50091524001316131569010110456819203318527.78%7357.14%021038754.26%20038252.36%11019257.29%2611772638514170
Total1163001104336765000010281315513001001523-8150.682437111410131613129890101104531985129194611422.95%541670.37%121038754.26%20038252.36%11019257.29%2611772638514170
_Since Last GM Reset1163001104336765000010281315513001001523-8150.682437111410131613129890101104531985129194611422.95%541670.37%121038754.26%20038252.36%11019257.29%2611772638514170
_Vs Conference1062001104132965000010281315412001001319-6150.750416810900131613128290101104528277117173581424.14%501570.00%121038754.26%20038252.36%11019257.29%2611772638514170
_Vs Division1620011024-2050000100001120010024-2157.500235101316131169010110453781221300.00%4175.00%021038754.26%20038252.36%11019257.29%2611772638514170

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1115L143711142983198512919410
All Games
GPWLOTWOTL SOWSOLGFGA
116301104336
Home Games
GPWLOTWOTL SOWSOLGFGA
65000102813
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51301001523
Last 10 Games
WLOTWOTL SOWSOL
530110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
611422.95%541670.37%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9010110451316131
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
21038754.26%20038252.36%11019257.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2611772638514170


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
214Wolves4Hammers7WBox score
427Hammers2Wolves7LBox score
646Hammers3Thunderbirds4LXBox score
860Wolf Pack4Hammers5WXXBox score
1176Penguins1Hammers4WBox score
1499Phantoms1Hammers4WBox score
15107Hammers3Bears5LBox score
18124Hammers5Phantoms3WBox score
21138Bears2Hammers5WBox score
24162Bruins1Hammers3WBox score
26183Hammers2Condors4LBox score
28194Thunderbirds-Hammers-
30207Hammers-Bruins-
31215Hammers-Wolf Pack-
34234Checkers-Hammers-
36251Hammers-IceHogs-
39263Hammers-Barracuda-
41274Barracuda-Hammers-
43296Hammers-Phantoms-
45307Wild-Hammers-
48328Firebird-Hammers-
50347Hammers-Checkers-
53360Hammers-Senators-
54371Thunderbirds-Hammers-
58390Hammers-Roadrunners-
60404Wolf Pack-Hammers-
62422Hammers-Gulls-
63429Hammers-Comets-
65441Wolves-Hammers-
69469IceHogs-Hammers-
71486Hammers-Bruins-
74499Wranglers-Hammers-
77517Hammers-Firebird-
79533Gulls-Hammers-
81550Hammers-Wolves-
83564Senators-Hammers-
85584Hammers-Crunch-
86593Penguins-Hammers-
89609Hammers-Griffins-
91627Griffins-Hammers-
94652Moose-Hammers-
97664Hammers-Moose-
99677Hammers-Admirals-
100692Bears-Hammers-
103714Hammers-Americans-
104722Admirals-Hammers-
108748Stars-Hammers-
110762Hammers-Thunderbirds-
112778Marlies-Hammers-
117799Hammers-Penguins-
119812Monsters-Hammers-
121827Hammers-Bears-
123843Phantoms-Hammers-
125858Hammers-Monsters-
126872Hammers-Canucks-
128885Reign-Hammers-
131908Comets-Hammers-
135934Roadrunners-Hammers-
140960Hammers-Wranglers-
141971Rockets-Hammers-
144991Hammers-Rockets-
1461002Silver Knight-Hammers-
1481016Hammers-Marlies-
1501032Americans-Hammers-
1521048Hammers-Penguins-
Trade Deadline --- Trades can’t be done after this day is simulated!
1551064Crunch-Hammers-
1601094Hammers-Reign-
1611098Condors-Hammers-
1641122Hammers-Silver Knight-
1661129Eagles-Hammers-
1691152Hammers-Eagles-
1701158Bruins-Hammers-
1761186Canucks-Hammers-
1821202Hammers-Wild-
1831211Hammers-Stars-
1851216Hammers-Wolf Pack-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance11,7946,000
Attendance PCT98.28%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 2966 - 98.86% 191,142$1,146,854$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,319,802$ 8,149,202$ 8,149,202$ 900,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,188,447$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,116,555$ 158 48,915$ 7,728,570$




Hammers 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

Hammers Goalies Stat Leaders (Regular Season)

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

Hammers 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

Hammers 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

Hammers Goalies Stat Leaders (Play-Off)

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