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MANHATTAN SWEDES
GP: 31 | W: 11 | L: 20 | OTL: 0 | P: 22
GF: 97 | GA: 132 | PP%: 27.45% | PK%: 71.58%
GM : Mark S | Morale : 67 | Team Overall : 62
Next Games #345 vs NEWTON NIGHTHAWKS

Game Center
MANHATTAN SWEDES
11-20-0, 22pts
7
5 DETROIT STEELERS
15-12-5, 35pts
Team Stats
L1StreakSOL1
4-11-0Home Record10-4-1
7-9-0Home Record5-8-4
4-6-0Last 10 Games5-4-1
3.13Goals Per Game3.72
4.26Goals Against Per Game3.41
27.45%Power Play Percentage26.79%
71.58%Penalty Kill Percentage79.67%
CALGARY WRANGLERS
17-11-3, 37pts
8
4 MANHATTAN SWEDES
11-20-0, 22pts
Team Stats
W3StreakL1
9-5-2Home Record4-11-0
8-6-1Home Record7-9-0
5-4-1Last 10 Games4-6-0
3.65Goals Per Game3.13
3.39Goals Against Per Game4.26
22.37%Power Play Percentage27.45%
82.35%Penalty Kill Percentage71.58%
NEWTON NIGHTHAWKS
14-13-3, 31pts
Day 58
MANHATTAN SWEDES
11-20-0, 22pts
Team Stats
L1StreakL1
8-6-2Home Record4-11-0
6-7-1Away Record7-9-0
4-6-0Last 10 Games4-6-0
3.80Goals Per Game3.13
4.00Goals Against Per Game3.13
14.93%Power Play Percentage27.45%
86.21%Penalty Kill Percentage71.58%
LAS CRUCES MESCALEROS
10-18-4, 24pts
Day 59
MANHATTAN SWEDES
11-20-0, 22pts
Team Stats
W3StreakL1
4-10-2Home Record4-11-0
6-8-2Away Record7-9-0
5-4-1Last 10 Games4-6-0
3.13Goals Per Game3.13
4.09Goals Against Per Game3.13
16.39%Power Play Percentage27.45%
88.89%Penalty Kill Percentage71.58%
MANHATTAN SWEDES
11-20-0, 22pts
Day 62
COQUITLAM EXPRESS
11-18-2, 24pts
Team Stats
L1StreakOTL1
4-11-0Home Record6-8-1
7-9-0Away Record5-10-1
4-6-0Last 10 Games2-7-1
3.13Goals Per Game3.19
4.26Goals Against Per Game3.19
27.45%Power Play Percentage15.69%
71.58%Penalty Kill Percentage78.70%
Team Leaders
Goals
Isac Lundeström
16
Assists
Isac Lundeström
24
Points
Isac Lundeström
40
Plus/Minus
Noah Östlund
7
Wins
Magnus Hellberg
8
Save Percentage
Magnus Hellberg
0.878

Team Stats
Goals For
97
3.13 GFG
Shots For
782
25.23 Avg
Power Play Percentage
27.5%
14 GF
Offensive Zone Start
32.2%
Goals Against
132
4.26 GAA
Shots Against
1046
33.74 Avg
Penalty Kill Percentage
71.6%%
27 GA
Defensive Zone Start
39.0%
Team Info

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


Arena Info

Capacity3,000
Attendance2,725
Season Tickets300


Roster Info

Pro Team41
Farm Team20
Contract Limit61 / 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
1Nail YakupovX100.0011996277988991478487716599990797613241,619,625$
2Isac LundeströmXXX100.00101997984999377657568565699790757122651,200,000$
3Evgeny KuznetsovXX100.0012199657573887258646565569999075662334971,000$
4Frank Nazar (R)X100.00231080797777816873626263587174076651211900,000$
5Aleksi SaarelaX100.001199627586787270737246558775075652285600,000$
6Joe VelenoXX100.0058793748077856446666256707773075652253600,000$
7Colby Barlow (R)X100.00544369767869656541586667686573075641202900,000$
8Isak RosénX100.0018199817376796058635359626668075621225900,000$
9Fedor Svechkov (R)X100.0019199747872676567575962557669061621225900,000$
10Noah Östlund (R)X100.005194756961696266616064667478075611211800,000$
11Sacha Boisvert (R)X100.00564466686564676754626060566257075611193800,000$
12Oskar Pettersson (R)X100.002199717474705759555656556768049582211700,000$
13Ethan BearX100.00979615727974846054614954449476079672281650,000$
14Griffin ReinhartX100.00491887608266797841676062469287075662312883,000$
15Logan Mailloux (R)X100.00765248718264695944595360486475075641225800,000$
16Sam Rinzel (R)X100.009785787473765744625166507770075621211800,000$
17Maxim Štrbák (R)X100.00532471755467675744595767526470064622202800,000$
18Jordan Spence (R)X100.00567945727771824844554564456059069622241500,000$
19Ben Danford (R)X100.00564355646368656144665861486460049601193700,000$
Scratches
1Mavrik Bourque (R)X100.00241395707472796159566159577771049611234800,000$
2Sam Colangelo (R)X100.00321874687967686554626253586660056612234700,000$
3Dylan James (R)X100.00131491707467726246625961566470049602211800,000$
4Jan Myšák (R)XX100.00141095687165746161585661587078049602232600,000$
5Carey Terrance (R)X100.00283993677462706271596062596562049602202600,000$
6Alexander Suzdalev (R)X100.00321778697170686255605758546566049602211500,000$
7Rodion Amirov (R)XX100.005195707271775655585359597575049591243800,000$
8Cole Huckins (R)X100.00272759707467646166595857546067049592223600,000$
9Max Plante (R)X100.0017176677065756058575858486664049580193650,000$
10Danny Zhilkin (R)X100.00282477717364695658545360556469049582211500,000$
11Gabriel CarlssonX100.0026199697988865441613949408977053611283665,000$
12Gustav LindstromX100.0048693687473744944544458487673056612272600,000$
13Aram Minnetian (R)X100.0018179727167656344595862506167049602202700,000$
14Timothy LiljegrenX100.0049191637764745535485156569576049601264716,750$
15Artyom Grushnikov (R)X100.00421181588163725340585165446565049602223700,000$
16Gavin McCarthy (R)X100.00377070647363646046655960485861049592202500,000$
17Tyson Hinds (R)X100.00546778617867595744585459336565049592223600,000$
18Spencer Gill (R)X100.00442965656563665744625759485861049582193600,000$
TEAM AVERAGE100.0032218169747174625261586054737106162
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
1Magnus Hellberg100.00677269767275818082635999760807513431,430,000$
2Benjamin Gaudreau (R)100.0064616379666264616364606670062642224600,000$
Scratches
1Alexei Kolosov (R)100.0059636982706164585765687366076642233600,000$
2Mason Beaupit (R)100.0071646265705958595662586263064612221600,000$
TEAM AVERAGE100.006565667670646765656461756907166
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Tanguay77698685868659CAN4511,200,000$


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
1Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW31162440-9603972118528113.56%2276024.541456410000490255.77%5292114111.0500000321
2William EklundMANHATTAN SWEDES (MAN)C/LW31161834-91404165110287614.55%1773223.622467410002710148.75%803418000.9300000013
3Joe VelenoMANHATTAN SWEDES (MAN)C/LW31132134-260776490296014.44%1163420.460331311011333049.40%1682210001.0700000413
4Evgeny KuznetsovMANHATTAN SWEDES (MAN)C/LW3151722-14023637217496.94%2057318.490333320001301048.87%2211715000.7700000101
5Ivan DemidovMANHATTAN SWEDES (MAN)RW3191120-21135174659202915.25%1553017.13224438000002037.93%29815000.7500100111
6Griffin ReinhartMANHATTAN SWEDES (MAN)D3161218-1140534243131913.95%5175924.495161345000476110%0621000.4700000010
7Isak RosénMANHATTAN SWEDES (MAN)RW317714-20094138142218.42%1545814.80112418000001027.78%181011000.6100000102
8Ethan BearMANHATTAN SWEDES (MAN)D3131013-310715125421513720.00%4368922.26101136000038100%0313000.3800102000
9Filip HronekMANHATTAN ISLANDERSD2211213-20022402211134.55%3657526.16033228000153000%01220100.4500000001
10Frank NazarMANHATTAN SWEDES (MAN)C315510-2757262541620.00%62949.50000011012352048.31%118127000.6800001100
11Noah ÖstlundMANHATTAN SWEDES (MAN)C31461072062828111214.29%933210.730000170000300044.31%32536000.6000000001
12Aleksi SaarelaMANHATTAN SWEDES (MAN)C31279-9003264716264.26%640413.0500000000000153.85%156107000.4400000000
13Colby BarlowMANHATTAN SWEDES (MAN)LW31527-1060435037102113.51%742113.60000000001240046.15%131111000.3300000001
14Sam RinzelMANHATTAN SWEDES (MAN)D31066-1840233178100%2953517.2601107011024000%0219000.2200000000
15Logan MaillouxMANHATTAN SWEDES (MAN)D31415-1318065302810714.29%3162720.25202228000255010%0320000.1600000000
16Jordan SpenceMANHATTAN SWEDES (MAN)D27112-7135271884312.50%142689.9500000011015000%056000.1500001000
17Sacha BoisvertMANHATTAN SWEDES (MAN)C31000-340632110%0622.0000000000020050.00%40100000000000
18Gabriel CarlssonMANHATTAN SWEDES (MAN)D1000000121000%01919.650000100001000%00000000000000
19Sam ColangeloMANHATTAN SWEDES (MAN)RW4000-100315020%04711.89000000000000100.00%20000000000000
20Fedor SvechkovMANHATTAN SWEDES (MAN)C27000-1000411113110%31796.6400000000000058.33%242600000000000
21Maxim ŠtrbákMANHATTAN SWEDES (MAN)D31000-18016146310%62247.2500000000014000%02500000000000
22Gustav LindstromMANHATTAN SWEDES (MAN)D8000000020100%1394.900000000000000%00000000000000
Team Total or Average58597160257-1172263058971978226846612.40%342917215.68142236433762241455811650.39%1687183225210.560020411614
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
1Magnus HellbergMANHATTAN SWEDES (MAN)2081100.8784.16111100776293133200203020
2Alexei KolosovMANHATTAN SWEDES (MAN)103700.8764.0960140413301850100108010
3Benjamin GaudreauMANHATTAN SWEDES (MAN)40200.8694.40150001184531000120000
Team Total or Average34112000.8764.1618634012910435514303131030


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)C281997-01-07FINNo210 Lbs6 ft0NoNoN/ANoYes52025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$600,000$600,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Alexander SuzdalevMANHATTAN SWEDES (MAN)LW212004-06-01SWEYes183 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Alexei KolosovMANHATTAN SWEDES (MAN)G232002-01-04BELYes226 Lbs6 ft2NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Aram MinnetianMANHATTAN SWEDES (MAN)D202005-03-19USAYes174 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-06FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$--------40,000$--------No--------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D222003-06-01RUSYes230 Lbs6 ft3NoNoN/ANoNo32025-06-15FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Ben DanfordMANHATTAN SWEDES (MAN)D192006-02-06CANYes192 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G222003-01-11CANYes209 Lbs6 ft2NoNoN/ANoNo42025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$600,000$------40,000$40,000$40,000$------NoNoNo------
Carey TerranceMANHATTAN SWEDES (MAN)C202005-05-10USAYes190 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-08FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Colby BarlowMANHATTAN SWEDES (MAN)LW202005-02-14CANYes201 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$--------40,000$--------No--------
Cole HuckinsMANHATTAN SWEDES (MAN)C222003-06-01CANYes191 Lbs6 ft3NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Danny ZhilkinMANHATTAN SWEDES (MAN)C212004-06-01CANYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW212004-06-01CANYes187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Ethan BearMANHATTAN SWEDES (MAN)D281997-07-01CANNo226 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm650,000$409,416$65,000$40,942$No---------------------------
Evgeny KuznetsovMANHATTAN SWEDES (MAN)C/LW331992-07-10RUSNo201 Lbs6 ft1NoNoN/ANoYes42024-06-10FalseFalsePro & Farm971,000$611,604$97,100$61,160$No971,000$971,000$971,000$------40,000$40,000$40,000$------NoNoNo------
Fedor SvechkovMANHATTAN SWEDES (MAN)C222003-04-05RUSYes208 Lbs6 ft4NoNoN/ANoNo52025-06-15FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$900,000$900,000$900,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Frank NazarMANHATTAN SWEDES (MAN)C212004-01-14USAYes186 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$566,883$90,000$56,688$No---------------------------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D281997-01-02SWENo207 Lbs6 ft7NoNoN/ANoYes32024-06-10FalseFalsePro & Farm665,000$418,864$66,500$41,886$No665,000$665,000$-------40,000$40,000$-------NoNo-------
Gavin McCarthyMANHATTAN SWEDES (MAN)D202005-06-01USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-09FalseFalsePro & Farm500,000$314,935$50,000$31,494$No500,000$--------40,000$--------No--------
Griffin ReinhartMANHATTAN SWEDES (MAN)D311994-01-24CANNo233 Lbs6 ft5NoNoN/ANoYes22024-06-10FalseFalsePro & Farm883,000$556,175$88,300$55,618$No883,000$--------40,000$--------No--------
Gustav LindstromMANHATTAN SWEDES (MAN)D271998-06-01SWENo193 Lbs6 ft1NoNoN/ANoYes22024-06-16FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW261999-11-06SWENo202 Lbs6 ft1NoNoN/ANoYes52025-06-15FalseFalsePro & Farm1,200,000$755,844$120,000$75,584$No1,200,000$1,200,000$1,200,000$1,200,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Isak RosénMANHATTAN SWEDES (MAN)RW222003-03-15SWENo174 Lbs6 ft0NoNoN/ANoNo52025-06-15FalseFalsePro & Farm900,000$566,883$90,000$56,688$No900,000$900,000$900,000$900,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Jan MyšákMANHATTAN SWEDES (MAN)C/LW232002-05-24CZEYes186 Lbs5 ft10NoNoN/ANoNo22024-06-10FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$--------40,000$--------No--------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW252000-01-13CANNo202 Lbs6 ft2NoNoN/ANoYes32025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Jordan SpenceMANHATTAN SWEDES (MAN)D242001-02-24CANYes210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$314,935$50,000$31,494$No---------------------------
Logan MaillouxMANHATTAN SWEDES (MAN)D222003-04-15CANYes228 Lbs6 ft5NoNoN/ANoNo52025-06-15FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$800,000$800,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Magnus HellbergMANHATTAN SWEDES (MAN)G341991-04-04SWENo205 Lbs6 ft5NoNoN/ANoYes32025-03-26FalseFalsePro & Farm1,430,000$900,714$143,000$90,071$No1,430,000$1,430,000$-------40,000$40,000$-------NoNo-------
Mason BeaupitMANHATTAN SWEDES (MAN)G222003-09-23CANYes189 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm600,000$377,922$60,000$37,792$No---------------------------
Mavrik BourqueMANHATTAN SWEDES (MAN)C232002-01-08CANYes195 Lbs6 ft1NoNoN/ANoNo42024-06-10FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$800,000$------40,000$40,000$40,000$------NoNoNo------
Max PlanteMANHATTAN SWEDES (MAN)C192006-02-20USAYes170 Lbs5 ft10NoNoAssign ManuallyNoNo32025-07-18FalseFalsePro & Farm650,000$409,416$65,000$40,942$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Maxim ŠtrbákMANHATTAN SWEDES (MAN)D202005-04-13SLOYes106 Lbs4 ft1NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$--------40,000$--------No--------
Nail YakupovMANHATTAN ISLANDERSRW321993-10-06RUSNo210 Lbs6 ft2NoNoN/ANoYes42024-03-14FalseFalsePro & Farm1,619,625$1,000,037$1,619,625$1,000,037$No1,619,625$1,619,625$1,619,625$---------------NoNoNo------NHL Link
Noah ÖstlundMANHATTAN SWEDES (MAN)C212004-03-11SWEYes171 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW212004-06-01SWEYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$440,909$70,000$44,091$No---------------------------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW242001-10-02RUSYes180 Lbs6 ft0NoNoN/ANoNo32024-06-10FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Sacha BoisvertMANHATTAN SWEDES (MAN)C192006-03-17CANYes176 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$503,896$80,000$50,390$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Sam ColangeloMANHATTAN SWEDES (MAN)RW232001-12-26USAYes214 Lbs6 ft4NoNoN/ANoNo42024-06-10FalseFalsePro & Farm700,000$440,909$70,000$44,091$No700,000$700,000$700,000$------40,000$40,000$40,000$------NoNoNo------
Sam RinzelMANHATTAN SWEDES (MAN)D212004-06-25USAYes190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$503,896$80,000$50,390$No---------------------------
Spencer GillMANHATTAN SWEDES (MAN)D192006-04-17CANYes179 Lbs6 ft3NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Timothy LiljegrenMANHATTAN SWEDES (MAN)D261999-04-30SWENo217 Lbs6 ft1NoNoN/ANoYes42024-06-10FalseFalsePro & Farm716,750$451,459$71,675$45,146$No716,750$716,750$716,750$------40,000$40,000$40,000$------NoNoNo------
Tyson HindsMANHATTAN SWEDES (MAN)D222003-06-01CANYes217 Lbs6 ft2NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$377,922$60,000$37,792$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4123.34196 Lbs6 ft12.71753,302$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Isac LundeströmNoah ÖstlundNail Yakupov40113
2Evgeny KuznetsovSacha BoisvertOskar Pettersson30122
3Joe VelenoFrank NazarIsak Rosén20122
4Colby BarlowAleksi SaarelaFedor Svechkov10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart35122
2Sam RinzelLogan Mailloux35122
3Sam RinzelBen Danford25122
4Ethan BearGriffin Reinhart5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Colby BarlowNoah ÖstlundNail Yakupov60122
2Evgeny KuznetsovJoe VelenoIsac Lundeström40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Sam RinzelLogan Mailloux40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Fedor SvechkovFrank Nazar60122
2Joe VelenoEvgeny Kuznetsov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Sam RinzelLogan Mailloux40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nail Yakupov60122Ethan BearGriffin Reinhart60122
2Joe Veleno40122Sam RinzelLogan Mailloux40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Frank NazarNail Yakupov60122
2Joe VelenoEvgeny Kuznetsov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Sam RinzelLogan Mailloux40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nail YakupovFrank NazarIsac LundeströmEthan BearGriffin Reinhart
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sacha BoisvertFrank NazarIsac LundeströmEthan BearGriffin Reinhart
Extra Forwards
Normal PowerPlayPenalty Kill
Frank Nazar, Aleksi Saarela, Colby BarlowFrank Nazar, Aleksi SaarelaFrank Nazar
Extra Defensemen
Normal PowerPlayPenalty Kill
Logan Mailloux, Sam Rinzel, Ethan BearLogan MaillouxLogan Mailloux, Sam Rinzel
Penalty Shots
Isac Lundeström, Nail Yakupov, Evgeny Kuznetsov, Joe Veleno, Frank Nazar
Goalie
#1 : Benjamin Gaudreau, #2 : Magnus Hellberg, #3 : 0
Custom OT Lines Forwards
Isac Lundeström, Nail Yakupov, Evgeny Kuznetsov, Joe Veleno, Frank Nazar, Aleksi Saarela, Colby Barlow, Sacha Boisvert, Isak Rosén, Noah Östlund
Custom OT Lines Defensemen
Ethan Bear, Griffin Reinhart, Jordan Spence, Logan Mailloux, Sam Rinzel


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
1BROOKLYN GRINDERS532000001814431200000810-222000000104660.60018304800213637313521926928681686124874250.00%12375.00%027854151.39%32965550.23%24348550.10%558278724292583291
2CALGARY WRANGLERS1010000048-41010000048-40000000000000.000459002136373262192692868381310284125.00%5260.00%127854151.39%32965550.23%24348550.10%558278724292583291
3CAPE BRETON LEPRECHAUNS30201000914-52010100059-41010000045-120.33391524002136373772192692868943516495240.00%8362.50%027854151.39%32965550.23%24348550.10%558278724292583291
4CAPE FEAR WILDCATS30201000813-52020000039-61000100054120.333811190021363736321926928681023618545120.00%90100.00%027854151.39%32965550.23%24348550.10%558278724292583291
5COLORADO CUBS11000000422000000000001100000042221.00048120021363733421926928684212221000%110.00%027854151.39%32965550.23%24348550.10%558278724292583291
6DETROIT STEELERS11000000752000000000001100000075221.000712190021363734021926928682972187228.57%110.00%027854151.39%32965550.23%24348550.10%558278724292583291
7HALIFAX HELL505000001028-1820200000314-1130300000714-700.00010172700213637313021926928681806075859222.22%20860.00%027854151.39%32965550.23%24348550.10%558278724292583291
8LAS CRUCES MESCALEROS1010000035-2000000000001010000035-200.000358002136373821926928682412818000%4175.00%027854151.39%32965550.23%24348550.10%558278724292583291
9NEWTON NIGHTHAWKS11000000514000000000001100000051421.0005813002136373282192692868288825000%40100.00%027854151.39%32965550.23%24348550.10%558278724292583291
10PENSACOLA BLACK BEARS1010000035-21010000035-20000000000000.0003581021363731321926928683712233000%10100.00%027854151.39%32965550.23%24348550.10%558278724292583291
11PHILADELPHIA PHANTOMS1010000024-2000000000001010000024-200.000246002136373202192692868359626000%30100.00%027854151.39%32965550.23%24348550.10%558278724292583291
12PINCHER CREEK WOLVERINES201010005501010000012-11000100043120.500510150021363735821926928685813245400.00%110.00%027854151.39%32965550.23%24348550.10%558278724292583291
13SAN JOSE AVACADOES2110000010100110000005411010000056-120.500101626102136373522192692868692510313266.67%5260.00%127854151.39%32965550.23%24348550.10%558278724292583291
14SYRACUSE BABY BULLS31200000613-72110000036-31010000037-420.3336915002136373712192692868992939518112.50%17476.47%027854151.39%32965550.23%24348550.10%558278724292583291
15VANCOUVER THOUSANDAIRES1010000035-2000000000001010000035-200.00035810213637327219269286843108182150.00%4175.00%027854151.39%32965550.23%24348550.10%558278724292583291
Total318200300097132-3515311010003567-321659020006265-3220.3559716025730213637378221926928681046342230589511427.45%952771.58%227854151.39%32965550.23%24348550.10%558278724292583291
_Since Last GM Reset318200300097132-3515311010003567-321659020006265-3220.3559716025730213637378221926928681046342230589511427.45%952771.58%227854151.39%32965550.23%24348550.10%558278724292583291
_Vs Conference256160300074107-3314310010003262-301136020004245-3180.360741211951021363736462192692868850284196451421126.19%782469.23%227854151.39%32965550.23%24348550.10%558278724292583291
_Vs Division19413020005182-311128010002248-26825010002934-5120.3165182133002136373476219269286864322117232631825.81%661872.73%027854151.39%32965550.23%24348550.10%558278724292583291

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3122L197160257782104634223058930
All Games
GPWLOTWOTL SOWSOLGFGA
31820300097132
Home Games
GPWLOTWOTL SOWSOLGFGA
1531110003567
Visitor Games
GPWLOTWOTL SOWSOLGFGA
165920006265
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
511427.45%952771.58%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
21926928682136373
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
27854151.39%32965550.23%24348550.10%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
558278724292583291


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
29MANHATTAN SWEDES3HALIFAX HELL5LBox score
415BROOKLYN GRINDERS4MANHATTAN SWEDES2LBox score
524MANHATTAN SWEDES5SAN JOSE AVACADOES6LBox score
737HALIFAX HELL8MANHATTAN SWEDES2LBox score
952SAN JOSE AVACADOES4MANHATTAN SWEDES5WBox score
1059MANHATTAN SWEDES3SYRACUSE BABY BULLS7LR5Box score
1269MANHATTAN SWEDES5CAPE FEAR WILDCATS4WXBox score
1481CAPE FEAR WILDCATS4MANHATTAN SWEDES2LBox score
1695BROOKLYN GRINDERS3MANHATTAN SWEDES1LBox score
17103MANHATTAN SWEDES3HALIFAX HELL6LBox score
19116PINCHER CREEK WOLVERINES2MANHATTAN SWEDES1LBox score
21130MANHATTAN SWEDES4CAPE BRETON LEPRECHAUNS5LBox score
22138CAPE BRETON LEPRECHAUNS6MANHATTAN SWEDES1LBox score
23148MANHATTAN SWEDES3VANCOUVER THOUSANDAIRES5LBox score
26160SYRACUSE BABY BULLS5MANHATTAN SWEDES1LR5Box score
28172MANHATTAN SWEDES4BROOKLYN GRINDERS1WBox score
29178MANHATTAN SWEDES4COLORADO CUBS2WBox score
31189CAPE BRETON LEPRECHAUNS3MANHATTAN SWEDES4WXBox score
33204BROOKLYN GRINDERS3MANHATTAN SWEDES5WBox score
35212MANHATTAN SWEDES1HALIFAX HELL3LBox score
36225MANHATTAN SWEDES4PINCHER CREEK WOLVERINES3WXBox score
38233HALIFAX HELL6MANHATTAN SWEDES1LBox score
40247SYRACUSE BABY BULLS1MANHATTAN SWEDES2WR5Box score
42258MANHATTAN SWEDES6BROOKLYN GRINDERS3WBox score
44269MANHATTAN SWEDES2PHILADELPHIA PHANTOMS4LBox score
45278CAPE FEAR WILDCATS5MANHATTAN SWEDES1LBox score
47290PENSACOLA BLACK BEARS5MANHATTAN SWEDES3LBox score
49300MANHATTAN SWEDES3LAS CRUCES MESCALEROS5LBox score
51312MANHATTAN SWEDES5NEWTON NIGHTHAWKS1WBox score
53320MANHATTAN SWEDES7DETROIT STEELERS5WBox score
55329CALGARY WRANGLERS8MANHATTAN SWEDES4LBox score
58345NEWTON NIGHTHAWKS-MANHATTAN SWEDES-
59355LAS CRUCES MESCALEROS-MANHATTAN SWEDES-
62368MANHATTAN SWEDES-COQUITLAM EXPRESS-
63378SYRACUSE BABY BULLS-MANHATTAN SWEDES-
65390MANHATTAN SWEDES-PENSACOLA BLACK BEARS-
67398MANHATTAN SWEDES-SYRACUSE BABY BULLS-
69412CAPE FEAR WILDCATS-MANHATTAN SWEDES-
71423PINCHER CREEK WOLVERINES-MANHATTAN SWEDES-
72430MANHATTAN SWEDES-CAPE BRETON LEPRECHAUNS-
75446PINCHER CREEK WOLVERINES-MANHATTAN SWEDES-
76453MANHATTAN SWEDES-HALIFAX HELL-
77467MANHATTAN SWEDES-PINCHER CREEK WOLVERINES-
79478MANHATTAN SWEDES-SYRACUSE BABY BULLS-
81483NORTH VAN ROCKERS-MANHATTAN SWEDES-
83497NEWTON NIGHTHAWKS-MANHATTAN SWEDES-
86510MANHATTAN SWEDES-CAPE FEAR WILDCATS-
87519VANCOUVER THOUSANDAIRES-MANHATTAN SWEDES-
88528MANHATTAN SWEDES-SAN JOSE AVACADOES-
90540BANGOR PUPPIES-MANHATTAN SWEDES-
92549MANHATTAN SWEDES-NORTH VAN ROCKERS-
94564HALIFAX HELL-MANHATTAN SWEDES-
96580CHICAGO UNDERTAKERS-MANHATTAN SWEDES-
98588MANHATTAN SWEDES-EDMONTON OILERS-
99597MANHATTAN SWEDES-CAPE FEAR WILDCATS-
100605MANHATTAN SWEDES-HAWAII PUNCH-
102614BROOKLYN GRINDERS-MANHATTAN SWEDES-
105629COLORADO CUBS-MANHATTAN SWEDES-
108647DETROIT STEELERS-MANHATTAN SWEDES-
110656MANHATTAN SWEDES-BROOKLYN GRINDERS-
111662MANHATTAN SWEDES-PHILADELPHIA PHANTOMS-
112673MANHATTAN SWEDES-CAPE BRETON LEPRECHAUNS-
114682SAN JOSE AVACADOES-MANHATTAN SWEDES-
116695VANCOUVER THOUSANDAIRES-MANHATTAN SWEDES-
118710PHILADELPHIA PHANTOMS-MANHATTAN SWEDES-
120724SAN JOSE AVACADOES-MANHATTAN SWEDES-
122735MANHATTAN SWEDES-SAN JOSE AVACADOES-
Trade Deadline --- Trades can’t be done after this day is simulated!
123743MANHATTAN SWEDES-CHICAGO UNDERTAKERS-
125754HAWAII PUNCH-MANHATTAN SWEDES-
128771EDMONTON OILERS-MANHATTAN SWEDES-
129778MANHATTAN SWEDES-CALGARY WRANGLERS-
130787MANHATTAN SWEDES-BANGOR PUPPIES-
131793MANHATTAN SWEDES-SAN JOSE AVACADOES-
133803MANHATTAN SWEDES-CALGARY WRANGLERS-
134812COLORADO CUBS-MANHATTAN SWEDES-
136827EDMONTON OILERS-MANHATTAN SWEDES-
139845COQUITLAM EXPRESS-MANHATTAN SWEDES-
141859CALGARY WRANGLERS-MANHATTAN SWEDES-
143871MANHATTAN SWEDES-COLORADO CUBS-
144881CAPE BRETON LEPRECHAUNS-MANHATTAN SWEDES-
146889MANHATTAN SWEDES-COLORADO CUBS-
147894MANHATTAN SWEDES-EDMONTON OILERS-
150910MANHATTAN SWEDES-EDMONTON OILERS-
152920CALGARY WRANGLERS-MANHATTAN SWEDES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance25,89614,976
Attendance PCT86.32%99.84%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 2725 - 90.83% 75,400$1,131,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,609,176$ 3,106,575$ 3,106,575$ 1,200,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
3,106,575$ 1,165,032$ 42 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,035,800$ 97 27,965$ 2,712,605$




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