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Hamilton Hammers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Joey Dagenais | Morale : 40 | Team Overall : 58

Team Leaders

Team Stats
Team Info

General ManagerJoey Dagenais
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team25
Farm Team22
Contract Limit47 / 250
Prospects32


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Marc GatcombX100.009339936480757662575463596366683740610262875,000$
2Cole Eiserman (R)X100.0064379567738263687269575966626084406101931,075,000$
3Matthew HighmoreX100.00723493657178676355575672607071354060N0301750,000$
4Kyle MacLeanX100.007541886475768663805756586067693740590271850,000$
5Max ShabanovX100.0061338466638367655067595562656642405902511,600,000$
6Liam FoudyX100.006035956875736065505250625866687940580261850,000$
7Camden ThiesingX100.00634074587277695761555653576466434056N0251750,000$
8Daylan KueflerX100.007051675679856655585452575363654940550242875,000$
9Gleb VeremyevX100.007843735587716054595350575162644440550231885,000$
10Marshall WarrenX100.006434756871786066307150554964654740600251850,000$
11Isaiah GeorgeX100.005836846678866662306554584961636540590221850,000$
12Jesse PulkkinenX100.008443945593656054305350594561637140590211880,833$
13Luke RoweX100.00704074577966695430565558466769374058N0271750,000$
14Travis MitchellX100.006737715987796057305064555066673740580261850,000$
15Cole McWardX100.006736835880836056305050594564654240570252875,000$
Scratches
1Kirby DachX100.0075417673918577727467686670676686406602500$
2Adam BeckmanX100.0067388365778782645863606261656667406102500$
3Joey Larson (R)X100.0065418760748784595755625861656742405802500$
4Alex JefferiesX100.0064379259738673576258595661646657405702400$
5Eetu LiukasX100.0075417757847678565355555854636549405702300$
6Adam BoqvistX100.0061359173758371703074616254676683406402500$
7Calle OdeliusX100.006638905975647158305652544561636740570221815,000$
TEAM AVERAGE100.00693984627878696149595659556566554059
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
Scratches
1Marcus Hogberg100.007560629674737574737574728653406003100$
2Henrik Tikkanen100.007080769869687069687069657347405702500$
3Tristan Lennox100.002525252525252525252525252525402902300$
TEAM AVERAGE100.0057555473565557565557565461424049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
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


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
Adam BeckmanHamilton Hammers (NYH)LW252001-05-10CANNo182 Lbs6 ft2NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Adam BoqvistHamilton Hammers (NYH)D252000-08-15SWENo195 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Alex JefferiesHamilton Hammers (NYH)LW242001-11-08USANo195 Lbs6 ft0NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Calle OdeliusHamilton Hammers (NYH)D222004-05-30SWENo201 Lbs6 ft0NoNoAssign ManuallyNoNo12026-04-17FalseFalsePro & Farm815,000$0$0$No---------------------------Link / NHL Link
Camden ThiesingHamilton Hammers (NYH)C252001-03-26USANo189 Lbs6 ft0YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Cole EisermanHamilton Hammers (NYH)LW192006-08-29USAYes195 Lbs6 ft0NoNoDraftNoNo32026-05-25FalseFalsePro & Farm1,075,000$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Link / NHL Link
Cole McWardHamilton Hammers (NYH)D252001-06-09USANo196 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-02FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Daylan KueflerHamilton Hammers (NYH)LW242002-02-10CANNo195 Lbs6 ft2NoNoAssign ManuallyNoNo22026-06-13FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Eetu LiukasHamilton Hammers (NYH)LW232002-09-25FINNo205 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Gleb VeremyevHamilton Hammers (NYH)C232003-06-28USANo205 Lbs6 ft4NoNoAssign ManuallyNoNo12026-04-17FalseFalsePro & Farm885,000$0$0$No---------------------------Link / NHL Link
Henrik TikkanenHamilton Hammers (NYH)G252000-09-28FINNo222 Lbs6 ft8NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Isaiah GeorgeHamilton Hammers (NYH)D222004-02-15CANNo203 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Jesse PulkkinenHamilton Hammers (NYH)D212004-12-27FINNo203 Lbs6 ft6NoNoAssign ManuallyNoNo12026-04-17FalseFalsePro & Farm880,833$0$0$No---------------------------Link / NHL Link
Joey LarsonHamilton Hammers (NYH)RW252001-03-27USAYes185 Lbs6 ft1NoNoDraftNoNo02026-05-25FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Kirby DachHamilton Hammers (NYH)C252001-01-21CANNo221 Lbs6 ft4NoNoTrade2026-06-07NoNo02026-04-05FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Kyle MacLeanHamilton Hammers (NYH)C271999-04-29USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo12026-07-02FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Liam FoudyHamilton Hammers (NYH)C262000-02-04CANNo186 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-27FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Luke RoweHamilton Hammers (NYH)D271998-08-08USANo209 Lbs6 ft1YesNoAssign ManuallyNoNo12026-07-07FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Marc GatcombHamilton Hammers (NYH)C261999-07-22USANo200 Lbs6 ft2NoNoAssign ManuallyNoNo22026-07-02FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link / NHL Link
Marcus HogbergHamilton Hammers (NYH)G311994-11-25SWENo232 Lbs6 ft5NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Marshall WarrenHamilton Hammers (NYH)D252001-04-20USANo195 Lbs5 ft11NoNoAssign ManuallyNoNo12026-06-05FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Matthew HighmoreHamilton Hammers (NYH)C301996-02-27CANNo186 Lbs5 ft11YesNoAssign ManuallyNoNo12026-07-10FalseFalseFarm Only750,000$0$0$No---------------------------Link / NHL Link
Max ShabanovHamilton Hammers (NYH)RW252000-10-07RUSNo167 Lbs5 ft9NoNoDraftNoNo12026-07-02FalseFalsePro & Farm1,600,000$0$0$No---------------------------Link / NHL Link
Travis MitchellHamilton Hammers (NYH)D261999-11-25USANo203 Lbs6 ft4NoNoAssign ManuallyNoNo12026-07-01FalseFalsePro & Farm850,000$0$0$No---------------------------Link / NHL Link
Tristan LennoxHamilton Hammers (NYH)G232002-10-21CANNo193 Lbs6 ft3NoNoAssign ManuallyNoNo02026-04-17FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.76198 Lbs6 ft20.84575,233$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,438,083$ 1,438,083$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Hamilton 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

Hamilton Hammers Goalies Stat Leaders (Regular Season)

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

Hamilton 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

Hamilton 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

Hamilton Hammers Goalies Stat Leaders (Play-Off)

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