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MANHATTAN SWEDES
GP: 36 | W: 13 | L: 23 | OTL: 0 | P: 26
GF: 112 | GA: 153 | PP%: 28.07% | PK%: 72.22%
GM : Mark S | Morale : 67 | Team Overall : 62
Next Games #398 vs SYRACUSE BABY BULLS

Game Center
SYRACUSE BABY BULLS
18-14-4, 40pts
2
4 MANHATTAN SWEDES
13-23-0, 26pts
Team Stats
L2StreakW2
5-8-4Home Record5-13-0
13-6-0Home Record8-10-0
3-7-0Last 10 Games4-6-0
3.78Goals Per Game3.11
3.72Goals Against Per Game4.25
24.49%Power Play Percentage28.07%
77.59%Penalty Kill Percentage72.22%
MANHATTAN SWEDES
13-23-0, 26pts
3
2 PENSACOLA BLACK BEARS
17-14-5, 39pts
Team Stats
W2StreakSOL1
5-13-0Home Record7-8-4
8-10-0Home Record10-6-1
4-6-0Last 10 Games5-1-4
3.11Goals Per Game3.53
4.25Goals Against Per Game3.78
28.07%Power Play Percentage17.74%
72.22%Penalty Kill Percentage80.39%
MANHATTAN SWEDES
13-23-0, 26pts
Day 67
SYRACUSE BABY BULLS
18-14-4, 40pts
Team Stats
W2StreakL2
5-13-0Home Record5-8-4
8-10-0Away Record13-6-0
4-6-0Last 10 Games3-7-0
3.11Goals Per Game3.78
4.25Goals Against Per Game3.78
28.07%Power Play Percentage24.49%
72.22%Penalty Kill Percentage77.59%
CAPE FEAR WILDCATS
24-6-5, 53pts
Day 69
MANHATTAN SWEDES
13-23-0, 26pts
Team Stats
L1StreakW2
11-4-3Home Record5-13-0
13-2-2Away Record8-10-0
9-1-0Last 10 Games4-6-0
3.74Goals Per Game3.11
2.83Goals Against Per Game3.11
19.05%Power Play Percentage28.07%
84.72%Penalty Kill Percentage72.22%
PINCHER CREEK WOLVERINES
14-15-7, 35pts
Day 71
MANHATTAN SWEDES
13-23-0, 26pts
Team Stats
W1StreakW2
6-6-6Home Record5-13-0
8-9-1Away Record8-10-0
3-6-1Last 10 Games4-6-0
3.56Goals Per Game3.11
3.67Goals Against Per Game3.11
26.51%Power Play Percentage28.07%
75.76%Penalty Kill Percentage72.22%
Team Leaders
Goals
Isac Lundeström
18
Assists
Joe Veleno
27
Points
Isac Lundeström
43
Plus/Minus
Noah Östlund
7
Wins
Magnus Hellberg
10
Save Percentage
Magnus Hellberg
0.879

Team Stats
Goals For
112
3.11 GFG
Shots For
903
25.08 Avg
Power Play Percentage
28.1%
16 GF
Offensive Zone Start
32.5%
Goals Against
153
4.25 GAA
Shots Against
1206
33.50 Avg
Penalty Kill Percentage
72.2%%
30 GA
Defensive Zone Start
38.8%
Team Info

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


Arena Info

Capacity3,000
Attendance2,708
Season Tickets300


Roster Info

Pro Team40
Farm Team20
Contract Limit60 / 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
1Isac LundeströmXXX99.00101997984999377657568565699790767122651,200,000$
2Evgeny KuznetsovXX99.0012199657573887258646565569999076662334971,000$
3Frank Nazar (R)X100.00231080797777816873626263587174077651211900,000$
4Aleksi SaarelaX100.001199627586787270737246558775076652285600,000$
5Joe VelenoXX100.0058793748077856446666256707773076652253600,000$
6Colby Barlow (R)X100.00544369767869656541586667686573076641202900,000$
7Isak RosénX100.0018199817376796058635359626668076621225900,000$
8Fedor Svechkov (R)X100.0019199747872676567575962557669063621225900,000$
9Noah Östlund (R)X100.005194756961696266616064667478066611211800,000$
10Sacha Boisvert (R)X100.00564466686564676754626060566257076611193800,000$
11Oskar Pettersson (R)X100.002199717474705759555656556768051582211700,000$
12Ethan BearX99.00979615727974846054614954449476080672281650,000$
13Griffin ReinhartX100.00491887608266797841676062469287076662312883,000$
14Logan Mailloux (R)X100.00765248718264695944595360486475076641225800,000$
15Sam Rinzel (R)X100.009785787473765744625166507770076621211800,000$
16Maxim Štrbák (R)X100.00532471755467675744595767526470066622202800,000$
17Jordan Spence (R)X100.00567945727771824844554564456059070622241500,000$
18Ben Danford (R)X100.00564355646368656144665861486460051601193700,000$
Scratches
1Mavrik Bourque (R)X100.00241395707472796159566159577771044611234800,000$
2Sam Colangelo (R)X100.00321874687967686554626253586660051612234700,000$
3Dylan James (R)X100.00131491707467726246625961566470044602211800,000$
4Jan Myšák (R)XX100.00141095687165746161585661587078044602232600,000$
5Carey Terrance (R)X100.00283993677462706271596062596562044602202600,000$
6Alexander Suzdalev (R)X100.00321778697170686255605758546566044602211500,000$
7Rodion Amirov (R)XX100.005195707271775655585359597575044591243800,000$
8Cole Huckins (R)X100.00272759707467646166595857546067044592223600,000$
9Max Plante (R)X100.0017176677065756058575858486664044580193650,000$
10Danny Zhilkin (R)X100.00282477717364695658545360556469044582211500,000$
11Gabriel CarlssonX100.0026199697988865441613949408977048611283665,000$
12Gustav LindstromX100.0048693687473744944544458487673051612272600,000$
13Aram Minnetian (R)X100.0018179727167656344595862506167044602202700,000$
14Timothy LiljegrenX100.0049191637764745535485156569576044601264716,750$
15Artyom Grushnikov (R)X100.00421181588163725340585165446565044602223700,000$
16Gavin McCarthy (R)X100.00377070647363646046655960485861044592202500,000$
17Tyson Hinds (R)X100.00546778617867595744585459336565044592223600,000$
18Spencer Gill (R)X100.00442965656563665744625759485861044582193600,000$
TEAM AVERAGE99.9233228070747073615360576053727005862
Filter Tips
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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 Hellberg96.00677269767275818082635999760817513431,430,000$
2Benjamin Gaudreau (R)100.0064616379666264616364606670065642224600,000$
Scratches
1Alexei Kolosov (R)100.0059636982706164585765687366074642233600,000$
2Mason Beaupit (R)100.0071646265705958595662586263062612221600,000$
TEAM AVERAGE99.006565667670646765656461756907166
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/RW36182543-13604494146609112.33%2689724.931457460000621256.36%6602917110.9611000331
2Joe VelenoMANHATTAN SWEDES (MAN)C/LW36142741-2808873100326314.00%1372620.190551351011353049.13%1732712001.1300000414
3William EklundMANHATTAN ISLANDERSC/LW31161834-91404165110287614.55%1773223.622467410002710148.75%803418000.9300000013
4Evgeny KuznetsovMANHATTAN SWEDES (MAN)C/LW368182604027739322618.60%2269719.380337360001431148.28%2321918000.7501000113
5Ivan DemidovMANHATTAN ISLANDERSRW3191120-21135174659202915.25%1553017.13224438000002037.93%29815000.7500100111
6Griffin ReinhartMANHATTAN SWEDES (MAN)D3661319-6160584747152012.77%5787624.345161350000488110%0823000.4300000010
7Isak RosénMANHATTAN SWEDES (MAN)RW3671017-200134944172615.91%1754415.12112422000001030.00%201114000.6200000102
8Aleksi SaarelaMANHATTAN SWEDES (MAN)C368917-70073758183513.79%951814.4000004000050253.33%210139000.6601000200
9Ethan BearMANHATTAN SWEDES (MAN)D3631114-8121151394720191115.00%4782322.88112141000045100%0418000.3400102000
10Filip HronekMANHATTAN ISLANDERSD2211213-20022402211134.55%3657526.16033228000153000%01220100.4500000001
11Frank NazarMANHATTAN SWEDES (MAN)C365510-97510323892413.16%1237210.35000011012412053.99%163147000.5400001100
12Noah ÖstlundMANHATTAN SWEDES (MAN)C36461072062928111214.29%93449.580000170000300044.17%32636000.5800000001
13Colby BarlowMANHATTAN SWEDES (MAN)LW36527-1780495348123110.42%849713.82000000001270043.75%161213000.2800000001
14Sam RinzelMANHATTAN SWEDES (MAN)D36077-1860338198100%3160816.9001107011032000%0319000.2300000000
15Logan MaillouxMANHATTAN SWEDES (MAN)D36527-14200783931111016.13%3772220.08303332000263010%0322000.1900000000
16Oskar PetterssonMANHATTAN SWEDES (MAN)RW513400015135100.00%48817.711121300000000%114000.9000000000
17Maxim ŠtrbákMANHATTAN SWEDES (MAN)D36022-28019199320%113198.8900004000122000%028000.1300000000
18Jordan SpenceMANHATTAN SWEDES (MAN)D32112-7155332084312.50%1733310.4300000011015000%0610000.1200001000
19Sacha BoisvertMANHATTAN SWEDES (MAN)C36011-6401464120%11042.9100000000020047.06%1701000.1900000000
20Gabriel CarlssonMANHATTAN SWEDES (MAN)D1000000121000%01919.650000100001000%00000000000000
21Ben DanfordMANHATTAN SWEDES (MAN)D5000000100000%1285.750000000001000%00000000000000
22Sam ColangeloMANHATTAN SWEDES (MAN)RW4000-100315020%04711.89000000000000100.00%20000000000000
23Fedor SvechkovMANHATTAN SWEDES (MAN)C32000-1000411123120%42116.6200000000000055.00%403600000000000
24Gustav LindstromMANHATTAN SWEDES (MAN)D8000000020100%1394.900000000000000%00000000000000
Team Total or Average675111183294-1472523067882890330853812.29%3951066315.80162642504172241564612851.19%1969212260210.551320413817
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)25101400.8794.0913630093767385321.0003253020
2Alexei KolosovMANHATTAN SWEDES (MAN)103700.8764.0960140413301850100108010
3Benjamin GaudreauMANHATTAN SWEDES (MAN)50200.8494.752020016106631000125000
Team Total or Average40132300.8754.1521674015012036334333636030


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$346,753$60,000$34,675$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$288,961$50,000$28,896$No---------------------------
Alexei KolosovMANHATTAN SWEDES (MAN)G232002-01-04BELYes226 Lbs6 ft2NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$346,753$60,000$34,675$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Aram MinnetianMANHATTAN SWEDES (MAN)D202005-03-19USAYes174 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-06FalseFalsePro & Farm700,000$404,545$70,000$40,455$No700,000$--------40,000$--------No--------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D222003-06-01RUSYes230 Lbs6 ft3NoNoN/ANoNo32025-06-15FalseFalsePro & Farm700,000$404,545$70,000$40,455$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Ben DanfordMANHATTAN SWEDES (MAN)D192006-02-06CANYes192 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-16FalseFalsePro & Farm700,000$404,545$70,000$40,455$No700,000$700,000$-------40,000$40,000$-------NoNo-------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G222003-01-11CANYes209 Lbs6 ft2NoNoN/ANoNo42025-06-15FalseFalsePro & Farm600,000$346,753$60,000$34,675$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$346,753$60,000$34,675$No600,000$--------40,000$--------No--------
Colby BarlowMANHATTAN SWEDES (MAN)LW202005-02-14CANYes201 Lbs6 ft4NoNoAssign ManuallyNoNo22024-07-02FalseFalsePro & Farm900,000$520,130$90,000$52,013$No900,000$--------40,000$--------No--------
Cole HuckinsMANHATTAN SWEDES (MAN)C222003-06-01CANYes191 Lbs6 ft3NoNoN/ANoNo32025-06-15FalseFalsePro & Farm600,000$346,753$60,000$34,675$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Danny ZhilkinMANHATTAN SWEDES (MAN)C212004-06-01CANYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$288,961$50,000$28,896$No---------------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW212004-06-01CANYes187 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$462,338$80,000$46,234$No---------------------------
Ethan BearMANHATTAN SWEDES (MAN)D281997-07-01CANNo226 Lbs6 ft1NoNoN/ANoYes1FalseFalsePro & Farm650,000$375,649$65,000$37,565$No---------------------------
Evgeny KuznetsovMANHATTAN SWEDES (MAN)C/LW331992-07-10RUSNo201 Lbs6 ft1NoNoN/ANoYes42024-06-10FalseFalsePro & Farm971,000$561,162$97,100$56,116$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$520,130$90,000$52,013$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$520,130$90,000$52,013$No---------------------------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D281997-01-02SWENo207 Lbs6 ft7NoNoN/ANoYes32024-06-10FalseFalsePro & Farm665,000$384,318$66,500$38,432$No665,000$665,000$-------40,000$40,000$-------NoNo-------
Gavin McCarthyMANHATTAN SWEDES (MAN)D202005-06-01USAYes205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-09FalseFalsePro & Farm500,000$288,961$50,000$28,896$No500,000$--------40,000$--------No--------
Griffin ReinhartMANHATTAN SWEDES (MAN)D311994-01-24CANNo233 Lbs6 ft5NoNoN/ANoYes22024-06-10FalseFalsePro & Farm883,000$510,305$88,300$51,031$No883,000$--------40,000$--------No--------
Gustav LindstromMANHATTAN SWEDES (MAN)D271998-06-01SWENo193 Lbs6 ft1NoNoN/ANoYes22024-06-16FalseFalsePro & Farm600,000$346,753$60,000$34,675$No600,000$--------40,000$--------No--------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW261999-11-06SWENo202 Lbs6 ft1NoNoN/ANoYes52025-06-15FalseFalsePro & Farm1,200,000$693,506$120,000$69,351$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$520,130$90,000$52,013$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$346,753$60,000$34,675$No600,000$--------40,000$--------No--------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW252000-01-13CANNo202 Lbs6 ft2NoNoN/ANoYes32025-06-15FalseFalsePro & Farm600,000$346,753$60,000$34,675$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Jordan SpenceMANHATTAN SWEDES (MAN)D242001-02-24CANYes210 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$288,961$50,000$28,896$No---------------------------
Logan MaillouxMANHATTAN SWEDES (MAN)D222003-04-15CANYes228 Lbs6 ft5NoNoN/ANoNo52025-06-15FalseFalsePro & Farm800,000$462,338$80,000$46,234$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$826,429$143,000$82,643$No1,430,000$1,430,000$-------40,000$40,000$-------NoNo-------
Mason BeaupitMANHATTAN SWEDES (MAN)G222003-09-23CANYes189 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm600,000$346,753$60,000$34,675$No---------------------------
Mavrik BourqueMANHATTAN SWEDES (MAN)C232002-01-08CANYes195 Lbs6 ft1NoNoN/ANoNo42024-06-10FalseFalsePro & Farm800,000$462,338$80,000$46,234$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$375,649$65,000$37,565$No650,000$650,000$-------40,000$40,000$-------NoNo-------
Maxim ŠtrbákMANHATTAN SWEDES (MAN)D202005-04-13SLOYes106 Lbs4 ft1NoNoAssign ManuallyNoNo22024-07-04FalseFalsePro & Farm800,000$462,338$80,000$46,234$No800,000$--------40,000$--------No--------
Noah ÖstlundMANHATTAN SWEDES (MAN)C212004-03-11SWEYes171 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm800,000$462,338$80,000$46,234$No---------------------------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW212004-06-01SWEYes187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$404,545$70,000$40,455$No---------------------------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW242001-10-02RUSYes180 Lbs6 ft0NoNoN/ANoNo32024-06-10FalseFalsePro & Farm800,000$462,338$80,000$46,234$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Sacha BoisvertMANHATTAN SWEDES (MAN)C192006-03-17CANYes176 Lbs6 ft2NoNoAssign ManuallyNoNo32025-07-14FalseFalsePro & Farm800,000$462,338$80,000$46,234$No800,000$800,000$-------40,000$40,000$-------NoNo-------
Sam ColangeloMANHATTAN SWEDES (MAN)RW232001-12-26USAYes214 Lbs6 ft4NoNoN/ANoNo42024-06-10FalseFalsePro & Farm700,000$404,545$70,000$40,455$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$462,338$80,000$46,234$No---------------------------
Spencer GillMANHATTAN SWEDES (MAN)D192006-04-17CANYes179 Lbs6 ft3NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$346,753$60,000$34,675$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Timothy LiljegrenMANHATTAN SWEDES (MAN)D261999-04-30SWENo217 Lbs6 ft1NoNoN/ANoYes42024-06-10FalseFalsePro & Farm716,750$414,226$71,675$41,423$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$346,753$60,000$34,675$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4023.13196 Lbs6 ft12.68731,644$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Evgeny KuznetsovIsac LundeströmIsak Rosén40122
2Joe VelenoAleksi SaarelaOskar Pettersson30122
3Colby BarlowFrank NazarIsac Lundeström20122
4Evgeny KuznetsovFedor SvechkovAleksi Saarela10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart40122
2Logan MaillouxMaxim Štrbák30122
3Jordan SpenceSam Rinzel20122
4Ben DanfordEthan Bear10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Evgeny KuznetsovIsac LundeströmIsak Rosén60122
2Joe VelenoAleksi SaarelaOskar Pettersson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Logan MaillouxMaxim Štrbák40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Isac LundeströmEvgeny Kuznetsov60122
2Aleksi SaarelaFrank Nazar40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Logan MaillouxMaxim Štrbák40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Isac Lundeström60122Ethan BearGriffin Reinhart60122
2Evgeny Kuznetsov40122Logan MaillouxMaxim Štrbák40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Isac LundeströmEvgeny Kuznetsov60122
2Aleksi SaarelaFrank Nazar40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ethan BearGriffin Reinhart60122
2Logan MaillouxMaxim Štrbák40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Evgeny KuznetsovIsac LundeströmIsak RosénEthan BearGriffin Reinhart
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Evgeny KuznetsovIsac LundeströmIsak RosénEthan BearGriffin Reinhart
Extra Forwards
Normal PowerPlayPenalty Kill
Sacha Boisvert, Noah Östlund, Colby BarlowSacha Boisvert, Noah ÖstlundColby Barlow
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Spence, Sam Rinzel, Ben DanfordJordan SpenceSam Rinzel, Ben Danford
Penalty Shots
Isac Lundeström, Evgeny Kuznetsov, Aleksi Saarela, Frank Nazar, Joe Veleno
Goalie
#1 : Magnus Hellberg, #2 : Benjamin Gaudreau
Custom OT Lines Forwards
Isac Lundeström, Evgeny Kuznetsov, Aleksi Saarela, Frank Nazar, Joe Veleno, Colby Barlow, Fedor Svechkov, Isak Rosén, Sacha Boisvert, Noah Östlund
Custom OT Lines Defensemen
Ethan Bear, Griffin Reinhart, Logan Mailloux, Maxim Štrbák, Jordan Spence


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 GRINDERS532000001814431200000810-222000000104660.600183048002440444135257305332121686124874250.00%12375.00%032063750.24%39976152.43%28956451.24%648324843339677338
2CALGARY WRANGLERS1010000048-41010000048-40000000000000.0004590024404442625730533212381310284125.00%5260.00%132063750.24%39976152.43%28956451.24%648324843339677338
3CAPE BRETON LEPRECHAUNS30201000914-52010100059-41010000045-120.333915240024404447725730533212943516495240.00%8362.50%032063750.24%39976152.43%28956451.24%648324843339677338
4CAPE FEAR WILDCATS30201000813-52020000039-61000100054120.3338111900244044463257305332121023618545120.00%90100.00%032063750.24%39976152.43%28956451.24%648324843339677338
5COLORADO CUBS11000000422000000000001100000042221.000481200244044434257305332124212221000%110.00%032063750.24%39976152.43%28956451.24%648324843339677338
6COQUITLAM EXPRESS1010000034-1000000000001010000034-100.000369002440444182573053321232166212150.00%30100.00%032063750.24%39976152.43%28956451.24%648324843339677338
7DETROIT STEELERS11000000752000000000001100000075221.0007121900244044440257305332122972187228.57%110.00%032063750.24%39976152.43%28956451.24%648324843339677338
8HALIFAX HELL505000001028-1820200000314-1130300000714-700.000101727002440444130257305332121806075859222.22%20860.00%032063750.24%39976152.43%28956451.24%648324843339677338
9LAS CRUCES MESCALEROS2020000069-31010000034-11010000035-200.00061016002440444392573053321263191231000%6183.33%032063750.24%39976152.43%28956451.24%648324843339677338
10NEWTON NIGHTHAWKS21100000710-31010000029-71100000051420.500711180024404445525730533212581510483133.33%50100.00%032063750.24%39976152.43%28956451.24%648324843339677338
11PENSACOLA BLACK BEARS2010001067-11010000035-21000001032120.500691510244044436257305332126620653000%3166.67%032063750.24%39976152.43%28956451.24%648324843339677338
12PHILADELPHIA PHANTOMS1010000024-2000000000001010000024-200.0002460024404442025730533212359626000%30100.00%032063750.24%39976152.43%28956451.24%648324843339677338
13PINCHER CREEK WOLVERINES201010005501010000012-11000100043120.5005101500244044458257305332125813245400.00%110.00%032063750.24%39976152.43%28956451.24%648324843339677338
14SAN JOSE AVACADOES2110000010100110000005411010000056-120.5001016261024404445225730533212692510313266.67%5260.00%132063750.24%39976152.43%28956451.24%648324843339677338
15SYRACUSE BABY BULLS422000001015-53210000078-11010000037-440.50010142400244044493257305332121294449639111.11%22672.73%032063750.24%39976152.43%28956451.24%648324843339677338
16VANCOUVER THOUSANDAIRES1010000035-2000000000001010000035-200.000358102440444272573053321243108182150.00%4175.00%032063750.24%39976152.43%28956451.24%648324843339677338
Total3692303010112153-4118413010004482-3818510020106871-3260.361112183295302440444903257305332121206395256678571628.07%1083072.22%232063750.24%39976152.43%28956451.24%648324843339677338
_Since Last GM Reset3692303010112153-4118413010004482-3818510020106871-3260.361112183295302440444903257305332121206395256678571628.07%1083072.22%232063750.24%39976152.43%28956451.24%648324843339677338
_Vs Conference267160300078109-3115410010003664-281136020004245-3200.3857812620410244044466825730533212880299206463431125.58%832668.67%232063750.24%39976152.43%28956451.24%648324843339677338
_Vs Division20513020005584-291238010002650-24825010002934-5140.35055871420024404444982573053321267323618233832825.00%712071.83%032063750.24%39976152.43%28956451.24%648324843339677338

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3626W2112183295903120639525667830
All Games
GPWLOTWOTL SOWSOLGFGA
369233010112153
Home Games
GPWLOTWOTL SOWSOLGFGA
1841310004482
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1851020106871
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
571628.07%1083072.22%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
257305332122440444
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
32063750.24%39976152.43%28956451.24%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
648324843339677338


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 NIGHTHAWKS9MANHATTAN SWEDES2LBox score
59355LAS CRUCES MESCALEROS4MANHATTAN SWEDES3LBox score
62368MANHATTAN SWEDES3COQUITLAM EXPRESS4LBox score
63378SYRACUSE BABY BULLS2MANHATTAN SWEDES4WR5Box score
65390MANHATTAN SWEDES3PENSACOLA BLACK BEARS2WXXBox score
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
Attendance30,82117,920
Attendance PCT85.61%99.56%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 2708 - 90.26% 74,863$1,347,535$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,834,061$ 2,926,575$ 2,926,575$ 1,200,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,926,575$ 1,327,581$ 40 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,796,713$ 89 26,796$ 2,384,844$




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