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MANHATTAN SWEDES
GP: 4 | W: 0 | L: 4
GF: 10 | GA: 17 | PP%: 20.00% | PK%: 72.73%
GM : Mark S | Morale : 19 | Team Overall : 62

Game Center
PINCHER CREEK WOLVERINES
6-4-0, 12pts
3
FINAL
1 MANHATTAN SWEDES
0-4-0, 0pts
Team Stats
L2StreakL4
2-3-0Home Record0-2-0
4-1-0Home Record0-2-0
6-4-0Last 10 Games0-4-0
3.40Goals Per Game2.50
3.40Goals Against Per Game4.25
25.00%Power Play Percentage20.00%
61.90%Penalty Kill Percentage72.73%
PINCHER CREEK WOLVERINES
6-4-0, 12pts
5
FINAL
2 MANHATTAN SWEDES
0-4-0, 0pts
Team Stats
L2StreakL4
2-3-0Home Record0-2-0
4-1-0Home Record0-2-0
6-4-0Last 10 Games0-4-0
3.40Goals Per Game2.50
3.40Goals Against Per Game4.25
25.00%Power Play Percentage20.00%
61.90%Penalty Kill Percentage72.73%
Team Leaders
Goals
Colby Barlow
3
Assists
Alex Turcotte
4
Points
Alex Turcotte
4
Plus/Minus
Jordan Spence
1
Wins
Spencer Knight
0
Save Percentage
Spencer Knight
0.873

Team Stats
Goals For
10
2.50 GFG
Shots For
103
25.75 Avg
Power Play Percentage
20.0%
1 GF
Offensive Zone Start
34.2%
Goals Against
17
4.25 GAA
Shots Against
134
33.50 Avg
Penalty Kill Percentage
72.7%%
3 GA
Defensive Zone Start
39.7%
Team Info

General ManagerMark S
CoachAlex Tanguay
DivisionSmythe
ConferenceRosling Conference
CaptainAlex Turcotte
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team44
Farm Team20
Contract Limit64 / 66
Prospects0


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
1Alex Turcotte (R) (C)X100.00411768878289897780787470617592068741242825,000$
2Isac Lundeström (R)XXX100.0015198848996937465726556569977071702251800,000$
3Juraj Slafkovský (R)X100.00471360828084806955716965567860071681212900,000$
4Joe Veleno (R)XX100.0059991798579856346666157707672061662251650,000$
5Aleksi SaarelaX100.001199657685787269737143558573071642281650,000$
6Colby Barlow (R)X100.00503973687369656742606863685672071631203900,000$
7William Eklund (R)XX100.0018782848174856356595759637571071631221800,000$
8Mavrik Bourque (R)X100.00281791757376796357586359577569071631235800,000$
9Fedor Svechkov (R)X100.0024199657773676267615761556765026601221700,000$
10Oskar Pettersson (R)X100.006195717372706058585958556566071602202700,000$
11Sam Colangelo (R)X100.00372369647963686054655852586458036592235700,000$
12Olli JuoleviX100.00621288767790907625586355508972071681271750,000$
13Griffin ReinhartX100.00502086598366797941686160468883071662313883,000$
14Logan Mailloux (R)X100.00714753768265696039605461486273071641221700,000$
15Alexander Alexeyev (R)X100.0055199787778675333595163667167059642251650,000$
16Jordan Spence (R)X100.00517450777673824944564666455958068632242500,000$
17Gabriel CarlssonX100.0030199707990865841644249408674071621284665,000$
18Maxim Štrbák (R)X100.00552669705969676044626067526167050622203800,000$
19Sam Rinzel (R)X100.00141280727466726244605666507068038611202800,000$
Scratches
1Frank Nazar (R)X100.007783847075816372636361585967048631212900,000$
2Noah Östlund (R)X100.005194706861696266616064667175021601212800,000$
3Dylan James (R)X100.00131491727267726246625961566369021602202800,000$
4Carey Terrance (R)X100.00283993706962706271596062596360021602203600,000$
5Alexander Suzdalev (R)X100.00321778707170686255605758546364021602202500,000$
6Rodion Amirov (R)XX100.005195737171775655585359597373021591234800,000$
7Jan Myšák (R)XX100.00141095687165746161585661586876021592223600,000$
8Cole Huckins (R)X100.00272759717467646166595857545865021592211500,000$
9Vladi Firstov (R)X100.0011694677461646048615559566471021582232600,000$
10Danny Zhilkin (R)X100.00282477727264695658545360556166021582202500,000$
11Dominik Bokk (R)XX100.00332676677567775953535455557768021582251650,000$
12Ty Smilanic (R)X100.00381072697563626061525454586158021572223600,000$
13Timothy LiljegrenX100.0054186687769745535485155569374021611265716,750$
14Gustav LindstromX100.0048693687573744944544458487471021602263600,000$
15Artyom Grushnikov (R)X100.00421181587963725340585165446464021592211550,000$
16Anttoni Honka (R)X100.0037197687463635744575260485968021592242500,000$
17Tyson Hinds (R)X100.00546778637767595744585459336363021592211500,000$
18Aram Minnetian (R)X100.0018179676967656344595862505965021582203700,000$
19Samuel Bolduc (R)X100.00504764657855625744575659466065021582232550,000$
20Gavin McCarthy (R)X100.00377070636863646046655960485659021582193500,000$
TEAM AVERAGE100.0033188271757173625261575954696904262
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 Knight (R)100.0069787780758283818368608385076771244775,000$
2Magnus Hellberg100.00667269757276847880635999810767413441,430,000$
Scratches
1Benjamin Gaudreau (R)100.0062616379686264616364606967023642221600,000$
2Alexei Kolosov (R)100.0060636982686164585765687063023632231600,000$
3Mason Beaupit (R)100.0068646275685958595662586061023612212600,000$
TEAM AVERAGE100.006568687870687167686461767104468
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Tanguay75708480838362CAN4421,200,000$


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
1Alex TurcotteMANHATTAN SWEDES (MAN)C4044-340108151280%210626.6500003000170049.61%129101000.7500000000
2Aleksi SaarelaMANHATTAN SWEDES (MAN)C4044-10017104110%08220.5900000011040049.15%5931000.9700000000
3Colby BarlowMANHATTAN SWEDES (MAN)LW4303-1202592233.33%25714.371011300013000%021001.0400000001
4Oskar PetterssonMANHATTAN SWEDES (MAN)RW4303-22021152460.00%17719.3800003000000050.00%211010.7700000010
5Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW4303-200181981015.79%49022.590000300000000%430000.6600000000
6Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW4022-26010817880%29824.7400003000280050.00%651000.4000000000
7Griffin ReinhartMANHATTAN SWEDES (MAN)D4112-32037143100.00%79724.350000410118000%001000.4100000000
8Joe VelenoMANHATTAN SWEDES (MAN)C/LW4022-220759540%08020.100111300002000%432000.5000000000
9Jordan SpenceMANHATTAN SWEDES (MAN)D4022140383100%88421.210000200000000%002000.4700000000
10Olli JuoleviMANHATTAN SWEDES (MAN)D4011-200976430%611127.9101114000010000%006000.1800000000
11William EklundMANHATTAN SWEDES (MAN)C/LW4011-200253240%05614.1500000000150046.67%1510000.3500000000
12Fedor SvechkovMANHATTAN SWEDES (MAN)C4011-100023010%1399.8400000000000047.06%1701000.5100000000
13Mavrik BourqueMANHATTAN SWEDES (MAN)C4000000000000%010.310000000000000%00000000000000
14Gabriel CarlssonMANHATTAN SWEDES (MAN)D4000-300131000%25113.000000000000000%00000000000000
15Sam RinzelMANHATTAN SWEDES (MAN)D4000000000000%020.630000000000000%00000000000000
16Sam ColangeloMANHATTAN SWEDES (MAN)RW4000000000000%082.11000000000000100.00%10000000000000
17Maxim ŠtrbákMANHATTAN SWEDES (MAN)D4000-300150000%35814.690000000006000%00400000000000
18Logan MaillouxMANHATTAN SWEDES (MAN)D4000000762010%57518.790000200005000%02300000000000
19Alexander AlexeyevMANHATTAN SWEDES (MAN)D4000000000000%000.100000000000000%00000000000000
Team Total or Average76101828-26220599510352599.71%43118115.551233341126640047.68%2373024010.4700000011
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
1Spencer KnightMANHATTAN SWEDES (MAN)40400.8734.27239001713456000040000
Team Total or Average40400.8734.2723900171345600040000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aleksi SaarelaMANHATTAN SWEDES (MAN)C281997-01-07FINNo209 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Alex TurcotteMANHATTAN SWEDES (MAN)C242001-02-26USAYes195 Lbs6 ft1NoNoN/ANoNo22025-02-22FalseFalsePro & Farm825,000$82,500$0$No825,000$--------40,000$--------No--------
Alexander AlexeyevMANHATTAN SWEDES (MAN)D251999-11-15RUSYes208 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Alexander SuzdalevMANHATTAN SWEDES (MAN)LW202004-06-01SWEYes182 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------40,000$--------No--------
Alexei KolosovMANHATTAN SWEDES (MAN)G232002-01-04BELYes223 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$60,000$0$No---------------------------
Anttoni HonkaMANHATTAN SWEDES (MAN)D242000-10-05FINYes191 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------40,000$--------No--------
Aram MinnetianMANHATTAN SWEDES (MAN)D202005-03-19USAYes170 Lbs6 ft0NoNoAssign ManuallyNoNo32024-07-06FalseFalsePro & Farm700,000$70,000$0$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D212003-06-01RUSYes228 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm550,000$55,000$0$No---------------------------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G222003-01-11CANYes208 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm600,000$60,000$0$No---------------------------
Carey TerranceMANHATTAN SWEDES (MAN)C202005-05-10USAYes186 Lbs6 ft1NoNoAssign ManuallyNoNo32024-07-08FalseFalsePro & Farm600,000$60,000$0$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Colby BarlowMANHATTAN SWEDES (MAN)LW202005-02-14CANYes196 Lbs6 ft3NoNoAssign ManuallyNoNo32024-07-02FalseFalsePro & Farm900,000$90,000$0$No900,000$900,000$-------40,000$40,000$-------NoNo-------
Cole HuckinsMANHATTAN SWEDES (MAN)C212003-06-01CANYes189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------
Danny ZhilkinMANHATTAN SWEDES (MAN)C202004-06-01CANYes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------40,000$--------No--------
Dominik BokkMANHATTAN SWEDES (MAN)LW/RW252000-02-03GERYes197 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW202004-06-01CANYes181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$0$No800,000$--------40,000$--------No--------
Fedor SvechkovMANHATTAN SWEDES (MAN)C222003-04-05RUSYes206 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$0$No---------------------------
Frank NazarMANHATTAN SWEDES (MAN)C212004-01-14USAYes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm900,000$90,000$0$No900,000$--------40,000$--------No--------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D281997-01-02SWENo207 Lbs6 ft7NoNoN/ANoNo42024-06-10FalseFalsePro & Farm665,000$66,500$0$No665,000$665,000$665,000$------40,000$40,000$40,000$------NoNoNo------
Gavin McCarthyMANHATTAN SWEDES (MAN)D192005-06-01USAYes204 Lbs6 ft1NoNoAssign ManuallyNoNo32024-07-09FalseFalsePro & Farm500,000$50,000$0$No500,000$500,000$-------40,000$40,000$-------NoNo-------
Griffin ReinhartMANHATTAN SWEDES (MAN)D311994-01-24CANNo233 Lbs6 ft5NoNoN/ANoNo32024-06-10FalseFalsePro & Farm883,000$88,300$0$No883,000$883,000$-------40,000$40,000$-------NoNo-------
Gustav LindstromMANHATTAN SWEDES (MAN)D261998-06-01SWENo193 Lbs6 ft1NoNoN/ANoNo32024-06-16FalseFalsePro & Farm600,000$60,000$0$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW251999-11-06SWEYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$0$No---------------------------
Jan MyšákMANHATTAN SWEDES (MAN)C/LW222002-05-24CZEYes184 Lbs5 ft10NoNoN/ANoNo32024-06-10FalseFalsePro & Farm600,000$60,000$0$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW252000-01-13CANYes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$65,000$0$No---------------------------
Jordan SpenceMANHATTAN SWEDES (MAN)D242001-02-24CANYes208 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------40,000$--------No--------
Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW212004-03-30SLOYes240 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm900,000$90,000$0$No900,000$--------40,000$--------No--------
Logan MaillouxMANHATTAN SWEDES (MAN)D222003-04-15CANYes224 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$0$No---------------------------
Magnus HellbergMANHATTAN SWEDES (MAN)G341991-04-04SWENo204 Lbs6 ft5NoNoN/ANoNo42025-03-26FalseFalsePro & Farm1,430,000$143,000$0$No1,430,000$1,430,000$1,430,000$------40,000$40,000$40,000$------NoNoNo------
Mason BeaupitMANHATTAN SWEDES (MAN)G212003-09-23CANYes186 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm600,000$60,000$0$No600,000$--------40,000$--------No--------
Mavrik BourqueMANHATTAN SWEDES (MAN)C232002-01-08CANYes194 Lbs6 ft1NoNoN/ANoNo52024-06-10FalseFalsePro & Farm800,000$80,000$0$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Maxim ŠtrbákMANHATTAN SWEDES (MAN)D202005-04-13SLOYes102 Lbs4 ft1NoNoAssign ManuallyNoNo32024-07-04FalseFalsePro & Farm800,000$80,000$0$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Noah ÖstlundMANHATTAN SWEDES (MAN)C212004-03-11SWEYes167 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$0$No800,000$--------40,000$--------No--------
Olli JuoleviMANHATTAN SWEDES (MAN)D271998-05-05FINNo202 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$0$No---------------------------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW202004-06-01SWEYes183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$70,000$0$No700,000$--------40,000$--------No--------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW232001-10-02RUSYes178 Lbs6 ft0NoNoN/ANoNo42024-06-10FalseFalsePro & Farm800,000$80,000$0$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Sam ColangeloMANHATTAN SWEDES (MAN)RW232001-12-26USAYes212 Lbs6 ft4NoNoN/ANoNo52024-06-10FalseFalsePro & Farm700,000$70,000$0$No700,000$700,000$700,000$700,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Sam RinzelMANHATTAN SWEDES (MAN)D202004-06-25USAYes185 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$0$No800,000$--------40,000$--------No--------
Samuel BolducMANHATTAN SWEDES (MAN)D232001-06-01CANYes211 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm550,000$55,000$0$No550,000$--------40,000$--------No--------
Spencer KnightMANHATTAN SWEDES (MAN)G242001-04-19USAYes205 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm775,000$77,500$0$No775,000$775,000$775,000$------40,000$40,000$40,000$------NoNoNo------
Timothy LiljegrenMANHATTAN SWEDES (MAN)D261999-04-30SWENo214 Lbs6 ft1NoNoN/ANoNo52024-06-10FalseFalsePro & Farm716,750$71,675$0$No716,750$716,750$716,750$716,750$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Ty Smilanic MANHATTAN SWEDES (MAN)C222002-06-01USAYes192 Lbs6 ft3NoNoN/ANoNo32024-06-10FalseFalsePro & Farm600,000$60,000$0$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Tyson HindsMANHATTAN SWEDES (MAN)D212003-06-01CANYes213 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------
Vladi FirstovMANHATTAN SWEDES (MAN)LW232001-06-19RUSYes197 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$60,000$0$No600,000$--------40,000$--------No--------
William EklundMANHATTAN SWEDES (MAN)C/LW222002-10-12SWEYes186 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4423.00197 Lbs6 ft22.27696,472$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Juraj SlafkovskýAlex TurcotteIsac Lundeström40122
2Joe VelenoAleksi SaarelaOskar Pettersson30122
3Colby BarlowWilliam EklundAlex Turcotte20122
4Juraj SlafkovskýFedor SvechkovIsac Lundeström10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olli JuoleviGriffin Reinhart40122
2Logan MaillouxJordan Spence30122
3Gabriel CarlssonMaxim Štrbák20122
4Jordan SpenceOlli Juolevi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Juraj SlafkovskýAlex TurcotteIsac Lundeström60122
2Colby BarlowJoe VelenoOskar Pettersson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Olli JuoleviGriffin Reinhart60122
2Logan MaillouxJordan Spence40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alex TurcotteJuraj Slafkovský60122
2Joe VelenoWilliam Eklund40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Olli JuoleviGriffin Reinhart60122
2Logan MaillouxMaxim Štrbák40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alex Turcotte60122Olli JuoleviGriffin Reinhart60122
2Joe Veleno40122Logan MaillouxMaxim Štrbák40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alex TurcotteJuraj Slafkovský60122
2Isac LundeströmJoe Veleno40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Olli JuoleviGriffin Reinhart60122
2Logan MaillouxJordan Spence40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Juraj SlafkovskýAlex TurcotteIsac LundeströmOlli JuoleviGriffin Reinhart
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Juraj SlafkovskýAlex TurcotteIsac LundeströmOlli JuoleviGriffin Reinhart
Extra Forwards
Normal PowerPlayPenalty Kill
Aleksi Saarela, William Eklund, Colby BarlowAleksi Saarela, William EklundAleksi Saarela
Extra Defensemen
Normal PowerPlayPenalty Kill
Maxim Štrbák, Jordan Spence, Olli JuoleviMaxim ŠtrbákMaxim Štrbák, Jordan Spence
Penalty Shots
Alex Turcotte, Isac Lundeström, Juraj Slafkovský, Joe Veleno, Aleksi Saarela
Goalie
#1 : Spencer Knight, #2 : Magnus Hellberg
Custom OT Lines Forwards
Alex Turcotte, Isac Lundeström, Juraj Slafkovský, Joe Veleno, Aleksi Saarela, William Eklund, Colby Barlow, Sam Colangelo, Mavrik Bourque, Oskar Pettersson
Custom OT Lines Defensemen
Olli Juolevi, Griffin Reinhart, Logan Mailloux, Maxim Štrbák, Gabriel Carlsson


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
1PINCHER CREEK WOLVERINES404000001017-72020000038-52020000079-200.00010182800253010327354101344322595120.00%11372.73%1398148.15%459447.87%296246.77%743893367235
Total404000001017-72020000038-52020000079-200.00010182800253010327354101344322595120.00%11372.73%1398148.15%459447.87%296246.77%743893367235
_Since Last GM Reset404000001017-72020000038-52020000079-200.00010182800253010327354101344322595120.00%11372.73%1398148.15%459447.87%296246.77%743893367235
_Vs Conference404000001017-72020000038-52020000079-200.00010182800253010327354101344322595120.00%11372.73%1398148.15%459447.87%296246.77%743893367235

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
40L410182810313443225900
All Games
GPWLOTWOTL SOWSOLGFGA
40400001017
Home Games
GPWLOTWOTL SOWSOLGFGA
202000038
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000079
Last 10 Games
WLOTWOTL SOWSOL
040000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
5120.00%11372.73%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27354102530
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
398148.15%459447.87%296246.77%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
743893367235


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
26MANHATTAN SWEDES2PINCHER CREEK WOLVERINES3LBoxScore
414MANHATTAN SWEDES5PINCHER CREEK WOLVERINES6LBoxScore
622PINCHER CREEK WOLVERINES3MANHATTAN SWEDES1LBoxScore
830PINCHER CREEK WOLVERINES5MANHATTAN SWEDES2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance4,0002,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 3000 - 100.00% 85,000$170,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 3,064,475$ 3,064,475$ 1,200,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 44 0

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




MANHATTAN SWEDES 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

MANHATTAN SWEDES Goalies Stat Leaders (Regular Season)

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

MANHATTAN SWEDES 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

MANHATTAN SWEDES 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

MANHATTAN SWEDES Goalies Stat Leaders (Play-Off)

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