Your STHS is out of Date! Please update your STHS version!
Login

Monkeys
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Fred Joanis | Morale : 50 | Team Overall : 66
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerFred Joanis
DivisionBourque
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team16
Contract Limit39 / 55
Prospects32


Team History

This Season0-0-0 (0PTS)
History208-110-13 (0.628%)
Playoff Appearances4
Playoff Record (W-L)15-18
Stanley Cup0


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
1Philipp Kurashev (R)XXX100.006856939376858681638379665772760507402522,250,000$
2Pius SuterXX100.0075539487747875736870768455727605072N02821,975,000$
3Sean KuralyXX100.009367868489756869716771805079780507103221,775,500$
4Connor McMichael (R)XX100.00715691877578907371697774607074050710241925,000$
5Zachary Benson (R)X100.007054899271767973507472775068700507001931,600,000$
6Filip Zadina (R)XX100.007455948777757971506774635673740506802521,825,000$
7Boris Katchouk (R)X100.00846295848572646754656974547071050680261758,333$
8Nils Aman (R)X100.00725594907578756658686476506870072670251925,000$
9Jack Studnicka (R)X100.00505050505050505050505050505050021490261762,500$
10Lukas Reichel (R)X100.005050505050505050505050505050500504902211,337,500$
11J.J. MoserX100.00825490907688927050746679507075050740241925,000$
12Jacob MiddletonX100.009078807790869269507068805072760507402922,450,000$
13Henri Jokiharju (R)X100.008259938981848568507164775074770507302512,500,000$
14Matt BenningX100.008463798284834065506762835076760507103031,900,000$
15Olen Zellweger (R)X100.00705896927685407150746766506567050690213863,334$
16Gustav OlofssonX100.00505050505050505050505050505050050490302775,000$
17Ryan Johnson (R)X100.00505050505050505050505050505050050490232925,000$
Scratches
1Hudson FaschingX100.007761958881785473506976765369710857002900$
2Matt NietoXX100.007056958679799069606771775081790767003200$
3Julien Gauthier (R)X100.009271938192704071506774735270710506902700$
4Fredrik OlofssonX100.005050505050505050505050505050500384902800$
5Cale Fleury (R)X100.009264968488794062506460655070700706702600$
TEAM AVERAGE100.0073588278747365665465656952676805366
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
1Chris Driedger100.0064595890656865636065646970075640301850,000$
Scratches
TEAM AVERAGE100.006459589065686563606564697007564
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 Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 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
Boris KatchoukMonkeys (IDS)LW261998-06-18 12:12:50Yes206 Lbs6 ft2NoNoN/ANoNo1Pro & Farm758,333$758,333$0$0$No------------------
Cale FleuryMonkeys (IDS)D261998-11-19 15:04:50Yes205 Lbs6 ft1NoNoFree AgentNoNo02024-03-03Pro & Farm0$0$No------------------Link
Chris DriedgerMonkeys (IDS)G301994-05-18 07:13:17No208 Lbs6 ft4NoNoN/ANoNo1Pro & Farm850,000$850,000$0$0$No------------------
Connor McMichaelMonkeys (IDS)C/LW242001-01-15 15:26:21Yes180 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Filip ZadinaMonkeys (IDS)LW/RW251999-11-27 15:09:35Yes189 Lbs6 ft0NoNoFree AgentNoNo22024-03-03Pro & Farm1,825,000$1,825,000$0$0$No1,825,000$--------No--------Link
Fredrik OlofssonMonkeys (IDS)LW281996-05-27 12:19:10No190 Lbs6 ft2NoNoN/ANoNo0Pro & Farm0$0$No------------------
Gustav OlofssonMonkeys (IDS)D301994-12-01 15:42:49No199 Lbs6 ft2NoNoDraftNoNo22024-11-27Pro & Farm775,000$775,000$0$0$No775,000$--------No--------
Henri JokiharjuMonkeys (IDS)D251999-06-17 14:47:01Yes195 Lbs6 ft0NoNoN/ANoNo1Pro & Farm2,500,000$2,500,000$0$0$No------------------Link
Hudson FaschingMonkeys (IDS)RW291995-07-28 10:56:00No209 Lbs6 ft3NoNoTrade2024-06-24NoNo0Pro & Farm0$0$No------------------
J.J. MoserMonkeys (IDS)D242000-06-06 04:20:50No173 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Jack StudnickaMonkeys (IDS)C261999-02-18 12:28:57Yes187 Lbs6 ft1NoNoN/ANoNo1Pro & Farm762,500$762,500$0$0$No------------------
Jacob MiddletonMonkeys (IDS)D291996-01-02 05:04:03No219 Lbs6 ft3NoNoFree AgentNoNo22024-03-15Pro & Farm2,450,000$2,450,000$0$0$No2,450,000$--------No--------
Julien GauthierMonkeys (IDS)RW271997-10-15 15:17:21Yes227 Lbs6 ft4NoNoFree AgentNoNo02024-03-03Pro & Farm0$0$No------------------Link
Lukas ReichelMonkeys (IDS)LW222002-05-17 17:24:18Yes170 Lbs6 ft0NoNoDraftNoNo12025-01-02Pro & Farm1,337,500$1,337,500$0$0$No------------------
Matt BenningMonkeys (IDS)D301994-05-25 16:19:36No203 Lbs6 ft1NoNoFree AgentNoNo32024-03-15Pro & Farm1,900,000$1,900,000$0$0$No1,900,000$1,900,000$-------NoNo-------Link
Matt NietoMonkeys (IDS)LW/RW321992-11-05 15:26:19No190 Lbs5 ft11NoNoN/ANoNo0Pro & Farm0$0$No------------------Link
Nils AmanMonkeys (IDS)C252000-02-07 12:35:33Yes179 Lbs6 ft2NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Olen ZellwegerMonkeys (IDS)D212003-09-10 17:32:59Yes187 Lbs5 ft10NoNoDraftNoNo32025-01-02Pro & Farm863,334$863,334$0$0$No863,334$863,334$-------NoNo-------
Philipp KurashevMonkeys (IDS)C/LW/RW251999-10-12 15:29:07Yes190 Lbs6 ft0NoNoFree AgentNoNo22025-04-11Pro & Farm2,250,000$2,250,000$0$0$No2,250,000$--------No--------Link
Pius SuterMonkeys (IDS)C/LW281996-05-24 15:52:51No174 Lbs5 ft11YesNoFree AgentNoNo22025-04-21Pro & Farm1,975,000$1,975,000$0$0$No1,975,000$--------Yes--------Link
Ryan JohnsonMonkeys (IDS)D232001-07-24 17:40:23Yes195 Lbs6 ft1NoNoDraftNoNo22025-01-02Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Sean KuralyMonkeys (IDS)C/LW321993-01-20 04:32:57No213 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,775,500$1,775,500$0$0$No1,775,500$--------No--------Link
Zachary BensonMonkeys (IDS)LW192005-05-12 07:01:50Yes170 Lbs5 ft10NoNoDraftNoNo32025-03-12Pro & Farm1,600,000$1,600,000$0$0$No1,600,000$1,600,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.35194 Lbs6 ft11.351,100,964$



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
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,532,216$ 2,532,216$ 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$




Monkeys 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
1Adam Gaudette1531782153931367241197101517.54%71314020.5351101152931011023570.52%222.5001
2Micheal Ferland20515222838015725128616481318.70%126370318.075494148915161021862.36%122.0514
3Ryan Poehling20014715730412912426918289116.50%91381319.0741509178426910461.82%111.5935
4Ty Dellandrea16613014727711013528620675317.26%71298617.99405797722241321266.96%101.8602
5Erik Brannstrom131521832351291021901515429.59%196338425.8338661049002253275.00%01.3902

Monkeys Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Braden Holtby1401191340.9022.99828784413421021961810.87023
2Cayden Primeau6054400.9152.313564441371606920501.0006
3Cory Schneider6052330.9093.1535468218620331046400.66715

Monkeys 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
Regular Season
202082669002325803232574134400111298158140413250012128216511714258097315530211325421093515116012341115302794897725130530919462.78%2439361.73%141048159165.87%1032162963.35%1166181664.21%1999124916336221320734
2021826214022205352652704131602200257120137413180002027814513313453589014251211521520163441110611661164172490836769150631018960.97%2658767.17%12978165858.99%926165455.99%1018165861.40%1951118016056571380749
2022826611021116013192824135401010290142148413170110131117713414060199815991213724521633646128612411114152557834767154531918357.37%2499362.65%61020159663.91%899152758.87%1129181462.24%2088132715326001314742
20238265110132056026829241336010102821441384132500310278124154139560944150404972362243375012161305122692321744449163231922369.91%2127564.62%61110172864.24%819132461.86%1141175065.20%2122133014886021320753
Total Regular Season328194110010743217917154641641034806430110281029216491620431310779051724262179367758563354383878421132844497449042735410436335122335277127468153.45%94144752.50%453730623059.87%2814498956.40%4410742659.39%795549806391253453972958
Playoff
202022139000001331294137600000848049630000049490261332173500035494819733283153291680218120382793645.57%482547.92%127341865.31%18026069.23%36351370.76%578369393148349206
2021191450000011880381091000007339349540000045414281182083260028434618162802572745715225241340654467.69%643151.56%120538353.52%21541451.93%23239958.15%437277402150302154
2022191450000012491331091000007140319540000053512281242153390130454817602422852321716234249326734460.27%582360.34%119837253.23%20541449.52%22240554.81%417260411158311152
20231284000007966136420000041392642000003827111679136215001537270555186211158036912179244553360.00%271351.85%119230363.37%9915265.13%19328667.48%31319821982187109
Total Playoff33151800000194223-29177100000098121-2316880000096102-6301943255190045876021156366418369312634262614701146758.77%1146642.11%834458359.01%26754748.81%41376054.34%725451731262524271

Monkeys 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
1Micheal Ferland57464995-1594915725318.18%39105718.552224464100034251.04%41.8000
2Erik Brannstrom37196584225515218710.16%5396526.0914314540000151100.00%11.7401
3Ty Dellandrea423744812434576019618.88%2575517.981414282920251160.31%22.1400
4Adam Gaudette2530316165412917617.05%1347619.061016261300012059.30%22.5600
5Valeri Nichushkin23282957139402512222.95%1145819.9598172100011071.77%22.4900

Monkeys Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Braden Holtby2523110.9153.08150001779024712000
2Cory Schneider11000.9292.006000228180000