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MANHATTAN SWEDES
GP: 80 | W: 42 | L: 28 | OTL: 10 | P: 94
GF: 254 | GA: 244 | PP%: 23.30% | PK%: 71.74%
GM : Justin B | Morale : 50 | Team Overall : 62
Next Games #889 vs CAPE BRETON LEPRECHAUNS
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Game Center
MANHATTAN SWEDES
42-28-10, 94pts
2
FINAL
6 EDMONTON OILERS
43-28-8, 94pts
Team Stats
L2StreakW2
20-17-3Home Record21-14-5
22-11-7Home Record22-14-3
5-4-1Last 10 Games5-4-1
3.18Goals Per Game3.78
3.05Goals Against Per Game3.58
23.30%Power Play Percentage27.60%
71.74%Penalty Kill Percentage77.85%
EDMONTON OILERS
43-28-8, 94pts
3
FINAL
1 MANHATTAN SWEDES
42-28-10, 94pts
Team Stats
W2StreakL2
21-14-5Home Record20-17-3
22-14-3Home Record22-11-7
5-4-1Last 10 Games5-4-1
3.78Goals Per Game3.18
3.58Goals Against Per Game3.05
27.60%Power Play Percentage23.30%
77.85%Penalty Kill Percentage71.74%
MANHATTAN SWEDES
42-28-10, 94pts
Day 148
CAPE BRETON LEPRECHAUNS
37-38-5, 79pts
Team Stats
L2StreakOTL1
20-17-3Home Record24-15-1
22-11-7Away Record13-23-4
5-4-1Last 10 Games5-4-1
3.18Goals Per Game3.23
3.05Goals Against Per Game3.23
23.30%Power Play Percentage22.45%
71.74%Penalty Kill Percentage76.14%
EDMONTON OILERS
43-28-8, 94pts
Day 151
MANHATTAN SWEDES
42-28-10, 94pts
Team Stats
W2StreakL2
21-14-5Home Record20-17-3
22-14-3Away Record22-11-7
5-4-1Last 10 Games5-4-1
3.78Goals Per Game3.18
3.58Goals Against Per Game3.18
27.60%Power Play Percentage23.30%
77.85%Penalty Kill Percentage71.74%
MANHATTAN SWEDES
42-28-10, 94pts
Day 152
SAN JOSE AVACADOES
30-40-8, 68pts
Team Stats
L2StreakL1
20-17-3Home Record18-19-3
22-11-7Away Record12-21-5
5-4-1Last 10 Games2-7-1
3.18Goals Per Game2.60
3.05Goals Against Per Game2.60
23.30%Power Play Percentage19.87%
71.74%Penalty Kill Percentage75.74%
Team Leaders
Goals
Isac Lundeström
44
Assists
Filip Zadina
67
Points
Filip Zadina
106
Plus/Minus
Olli Juolevi
27
Wins
Spencer Knight
27
Save Percentage
Magnus Hellberg
0.912

Team Stats
Goals For
254
3.18 GFG
Shots For
2640
33.00 Avg
Power Play Percentage
23.3%
48 GF
Offensive Zone Start
36.6%
Goals Against
244
3.05 GAA
Shots Against
2542
31.78 Avg
Penalty Kill Percentage
71.7%%
52 GA
Defensive Zone Start
37.1%
Team Info

General ManagerJustin B
CoachAlex Tanguay
DivisionSmythe
ConferenceRosling Conference
CaptainAlex Turcotte
Assistant #1Owen Power
Assistant #2


Arena Info

Capacity3,000
Attendance2,962
Season Tickets300


Roster Info

Pro Team45
Farm Team18
Contract Limit63 / 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
1Filip Zadina (R)XX99.0046778889693967054796857729477070732242775,000$
2Alex Turcotte (R) (C)X99.00361264847979807279736965616690070701233750,000$
3Isac Lundeström (R)XXX100.0020193899493937064676151569674070692242800,000$
4Aleksi SaarelaX100.001199707686786969706945558371070642272650,000$
5Joe Veleno (R)XX100.00641486747676676547676350707369055632242650,000$
6Juraj Slafkovský (R)X100.0042865676573656456666364566658047621193900,000$
7Frank Nazar (R)X100.00101080677371676472646061585765070611203900,000$
8Noah Östlund (R)X100.0010189656867696367626161666973061611203800,000$
9Mavrik Bourque (R)X100.00322187687374746358586357576467070611221650,000$
10Fedor Svechkov (R)X100.0029194687773676267615758556563070611202700,000$
11Dylan James (R)X100.00181986686968726348636061566066070612193800,000$
12Jonah Gadjovich (R)XX100.00471675757378765743585753557970070612251600,000$
13William Eklund (R)XX100.00231277707166755756535460636470023581212800,000$
14Owen Power (R) (A)X99.00662488767976767144724868447482050691212800,000$
15Timothy Liljegren (R)X100.0059681737769745335465055569172018621241600,000$
16Gustav LindstromX99.00521089737475745244574758487168070622251600,000$
17Sam Rinzel (R)X100.00181676677469726444625865506765058611193800,000$
18Alexander Alexeyev (R)X100.0060395667846674833484663667066018592242650,000$
Scratches
1Rodion Amirov (R)XX100.005195737171775655585359597171020591221650,000$
2Sam Colangelo (R)X100.00372369647763686054655852586256020592221650,000$
3Jan Myšák (R)XX100.00141095697065746161585661586573020592211750,000$
4Alexander Suzdalev (R)X100.00321778696770686255605758546061020592193500,000$
5Oskar Pettersson (R)X100.0011690687371706156596058556263020592193700,000$
6Danny Zhilkin (R)X100.00322873706964696158595860556065020592193500,000$
7Cole Huckins (R)X100.00272759707367646166595857545764020592202500,000$
8Vladi Firstov (R)X100.0011694697561646048615559566370020582223600,000$
9Dominik Bokk (R)XX100.00332676717667775953535455557566020582242650,000$
10Ty Smilanic (R)X100.00381072707363626061525454585956020572211500,000$
11Olli JuoleviX100.00641486817784907325545951508669071661252750,000$
12Griffin ReinhartX100.00522284598267797941686160468378067652301800,000$
13Gabriel CarlssonX100.0035199757990865941664449408472071631271500,000$
14Logan Mailloux (R)X100.00674357638066636139615561486172071621202700,000$
15Artyom Grushnikov (R)X100.00421181597463725340585165446262020592202550,000$
16Reilly Walsh (R)X100.00715172617752635640525457456867020592241500,000$
17Anttoni Honka (R)X100.0037197697263635744575260485665020592233500,000$
18Jack Rathbone (R)X100.00523270657856605140575660527462020592241600,000$
19Tyson Hinds (R)X100.00546778647467595744585459336161020592202500,000$
20Samuel Bolduc (R)X100.00504764657755625744575659465863020582223550,000$
21Jordan Spence (R)X70.98567945637156625444515166455756013582233500,000$
TEAM AVERAGE99.1537188070757072615160575854696804261
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
1Spencer Knight (R)96.0074787779767778767868608183054751225775,000$
2Magnus Hellberg100.00677269807278807476635994800557413221,100,000$
Scratches
1Alexei Kolosov (R)100.0060636279677269696865686861026662222600,000$
2Benjamin Gaudreau (R)100.0064616377686264616364606664028642212600,000$
3Drew Commesso (R)100.0060616277696467636163616164020632211550,000$
4Mason Beaupit (R)100.0063646270646362636062585960044622203600,000$
TEAM AVERAGE99.336567667769697068686461726903867
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Tanguay71657978808065CAN4331,200,000$


Filter Tips
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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
1Filip ZadinaMANHATTAN SWEDES (MAN)LW/RW8039671061542014612432510321112.00%45179622.46823313417500011396243.56%32611139001.1839000994
2Alex TurcotteMANHATTAN SWEDES (MAN)C80395695189601251572477114215.79%52175421.931216282417200001108554.89%22486042021.0839000846
3Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW80444690250051732949118814.97%56165720.72121527411751127487354.61%1418035011.0937000788
4Aleksi SaarelaMANHATTAN SWEDES (MAN)C80283058-8206932779116010.11%19135416.934711131221126454151.97%8877019000.8613000333
5Olli JuoleviMANHATTAN SWEDES (MAN)D78833412720015010012346606.50%87190824.46369141800002150120%04053000.4311000034
6Owen PowerMANHATTAN SWEDES (MAN)D665333825281013812613249603.79%109177826.95347111560114123200%03286000.4300011223
7Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW7119163526201261121765810310.80%41120516.9823571040002520142.86%492625000.5802000230
8Jonah GadjovichMANHATTAN SWEDES (MAN)LW/RW80141428-12601136516040858.75%19100112.52011218000061148.28%294020000.5611000221
9Fedor SvechkovMANHATTAN SWEDES (MAN)C80131225700306613242869.85%2992611.5800001000002249.46%4672519000.5400000103
10Joe VelenoMANHATTAN SWEDES (MAN)C/LW7471623-13201308214957924.70%21115215.582021297000131035.71%1263320000.4002000002
11Griffin ReinhartMANHATTAN SWEDES (MAN)D7501919-1160126938530380%84148119.750115113000091000%02741000.2600000101
12Dylan JamesMANHATTAN SWEDES (MAN)LW8091019-100125111123788.11%2480510.07101110001503129.55%442113000.4700000101
13Noah ÖstlundMANHATTAN SWEDES (MAN)C7589179004608226559.76%2086411.53000020000111033.33%271917000.3901000010
14Mavrik BourqueMANHATTAN SWEDES (MAN)C80881642037489738618.25%185807.2600001000021042.25%213169000.5511000111
15Gabriel CarlssonMANHATTAN SWEDES (MAN)D7801515-20049654919200%56152219.5201111150002103000%01230000.2000000000
16Frank NazarMANHATTAN SWEDES (MAN)C806814-28012456824478.82%197729.651015410001622051.43%35138000.3611000101
17Logan MaillouxMANHATTAN SWEDES (MAN)D78178-5500122624318142.33%54102813.1800004000013000%0739100.1600000000
18Timothy LiljegrenMANHATTAN SWEDES (MAN)D16156-340253317365.88%1835422.14011029000017010%0515000.3400000001
19Gustav LindstromMANHATTAN SWEDES (MAN)D80066-56040582512170%58104913.120001600006000%0024000.1100000000
20Sam RinzelMANHATTAN SWEDES (MAN)D7213446042719595.26%345006.95000010000034000%0513000.1600000000
21Oskar PetterssonMANHATTAN SWEDES (MAN)RW912300019164106.25%312413.8100000000000066.67%394000.4800000000
22William EklundMANHATTAN SWEDES (MAN)C/LW10000-800496120%0858.5400000000040050.00%40300000000000
23Danny ZhilkinMANHATTAN SWEDES (MAN)C110000401085050%713812.59000011000000050.00%41100000000000
24Alexander AlexeyevMANHATTAN SWEDES (MAN)D2000-300252000%23115.690000000000000%00100000000000
25Jordan SpenceMANHATTAN SWEDES (MAN)D2000-200020100%1168.040000000000000%00000000000000
Team Total or Average1517251415666823741014631573264085215499.51%8762389115.7548781261711542235271078391951.29%4603652576130.561437011383639
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
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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)58272190.9102.863438401641817907310.47134580362
2Magnus HellbergMANHATTAN SWEDES (MAN)2315600.9122.751286005967334011002216113
3Mason BeaupitMANHATTAN SWEDES (MAN)30010.7864.448100628132000027000
4Alexei KolosovMANHATTAN SWEDES (MAN)20100.6829.33450072270000022000
Team Total or Average864228100.9072.924852402362540126762348065475


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
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aleksi SaarelaMANHATTAN SWEDES (MAN)C271/7/1997 6:37:14 AMNo208 Lbs6 ft0NoNoN/ANoYes2Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$--------No--------
Alex TurcotteMANHATTAN SWEDES (MAN)C232/26/2001 3:03:27 AMYes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$57,325$40,000$3,057$75,000$5,732$No750,000$750,000$-------NoNo-------
Alexander AlexeyevMANHATTAN SWEDES (MAN)D2411/15/1999 6:00:28 AMYes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$--------No--------
Alexander SuzdalevMANHATTAN SWEDES (MAN)LW196/1/2004 9:58:30 AMYes180 Lbs5 ft10NoNoN/ANoNo3Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$500,000$-------NoNo-------
Alexei KolosovMANHATTAN SWEDES (MAN)G221/4/2002 7:49:15 AMYes221 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$--------No--------
Anttoni HonkaMANHATTAN SWEDES (MAN)D2310/5/2000 8:48:07 AMYes187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$500,000$-------NoNo-------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D206/1/2003 6:22:50 AMYes226 Lbs6 ft3NoNoN/ANoNo2Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No550,000$--------No--------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G211/11/2003 8:07:43 AMYes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$--------No--------
Cole HuckinsMANHATTAN SWEDES (MAN)C206/1/2003 7:47:23 AMYes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$--------No--------
Danny ZhilkinMANHATTAN SWEDES (MAN)C196/1/2004 3:34:29 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$500,000$-------NoNo-------
Dominik BokkMANHATTAN SWEDES (MAN)LW/RW242/3/2000 5:46:29 AMYes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$--------No--------
Drew Commesso MANHATTAN SWEDES (MAN)G216/1/2002 10:09:32 AMYes228 Lbs6 ft5NoNoN/ANoNo1Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW196/1/2004 8:17:15 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$800,000$-------NoNo-------
Fedor SvechkovMANHATTAN SWEDES (MAN)C204/5/2003 8:03:12 AMYes204 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$53,503$40,000$3,057$70,000$5,350$No700,000$--------No--------
Filip ZadinaMANHATTAN SWEDES (MAN)LW/RW2411/27/1999 4:51:19 AMYes202 Lbs6 ft1NoNoN/ANoNo2Pro & Farm775,000$59,236$40,000$3,057$77,500$5,924$No775,000$--------No--------
Frank NazarMANHATTAN SWEDES (MAN)C201/14/2004 5:19:37 AMYes181 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$68,790$40,000$3,057$90,000$6,879$No900,000$900,000$-------NoNo-------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D271/2/1997 3:32:56 AMNo206 Lbs6 ft7NoNoN/ANoYes1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Griffin ReinhartMANHATTAN SWEDES (MAN)D301/24/1994 3:22:57 AMNo233 Lbs6 ft5NoNoN/ANoYes1Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No------------------
Gustav LindstromMANHATTAN SWEDES (MAN)D256/1/1998 1:19:32 AMNo191 Lbs6 ft1NoNoN/ANoYes1Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No------------------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW2411/6/1999 5:41:21 AMYes197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$--------No--------
Jack RathboneMANHATTAN SWEDES (MAN)D246/1/1999 8:54:12 AMYes214 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No------------------
Jan MyšákMANHATTAN SWEDES (MAN)C/LW215/24/2002 10:13:36 AMYes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$57,325$40,000$3,057$75,000$5,732$No------------------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW241/13/2000 5:58:17 AMYes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No650,000$--------No--------
Jonah GadjovichMANHATTAN SWEDES (MAN)LW/RW2510/12/1998 7:26:42 AMYes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No------------------
Jordan SpenceMANHATTAN SWEDES (MAN)D232/24/2001 5:40:41 AMYes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$500,000$-------NoNo-------
Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW193/30/2004 4:55:57 AMYes238 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$68,790$40,000$3,057$90,000$6,879$No900,000$900,000$-------NoNo-------
Logan MaillouxMANHATTAN SWEDES (MAN)D204/15/2003 8:51:05 AMYes221 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$53,503$40,000$3,057$70,000$5,350$No700,000$--------No--------
Magnus HellbergMANHATTAN SWEDES (MAN)G324/4/1991 12:38:20 PMNo203 Lbs6 ft5NoNoN/ANoYes2Pro & Farm1,100,000$84,076$40,000$3,057$110,000$8,408$No1,100,000$--------No--------
Mason BeaupitMANHATTAN SWEDES (MAN)G209/23/2003 4:06:59 AMYes185 Lbs6 ft5NoNoN/ANoNo3Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$600,000$-------NoNo-------
Mavrik BourqueMANHATTAN SWEDES (MAN)C221/8/2002 9:01:49 AMYes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No------------------
Noah ÖstlundMANHATTAN SWEDES (MAN)C203/11/2004 5:39:24 AMYes165 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$800,000$-------NoNo-------
Olli JuoleviMANHATTAN SWEDES (MAN)D255/5/1998 7:10:45 AMNo200 Lbs6 ft5NoNoN/ANoYes2Pro & Farm750,000$57,325$40,000$3,057$75,000$5,732$No750,000$--------No--------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW196/1/2004 3:19:24 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$53,503$40,000$3,057$70,000$5,350$No700,000$700,000$-------NoNo-------
Owen PowerMANHATTAN SWEDES (MAN)D2111/22/2002 6:14:46 AMYes221 Lbs6 ft8NoNoN/ANoNo2Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$--------No--------
Reilly WalshMANHATTAN SWEDES (MAN)D246/1/1999 8:18:59 AMYes214 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW2210/2/2001 8:04:04 AMYes176 Lbs6 ft0NoNoN/ANoNo1Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No------------------
Sam ColangeloMANHATTAN SWEDES (MAN)RW2212/26/2001 9:38:13 AMYes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$49,682$40,000$3,057$65,000$4,968$No------------------
Sam RinzelMANHATTAN SWEDES (MAN)D196/25/2004 6:18:43 AMYes181 Lbs6 ft4NoNoN/ANoNo3Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$800,000$-------NoNo-------
Samuel BolducMANHATTAN SWEDES (MAN)D226/1/2001 7:01:50 AMYes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm550,000$42,038$40,000$3,057$55,000$4,204$No550,000$550,000$-------NoNo-------
Spencer KnightMANHATTAN SWEDES (MAN)G224/19/2001 4:30:30 AMYes203 Lbs6 ft4NoNoN/ANoNo5Pro & Farm775,000$59,236$40,000$3,057$77,500$5,924$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Timothy LiljegrenMANHATTAN SWEDES (MAN)D244/30/1999 5:25:49 AMYes212 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No------------------
Ty Smilanic MANHATTAN SWEDES (MAN)C216/1/2002 7:59:26 AMYes188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No------------------
Tyson HindsMANHATTAN SWEDES (MAN)D206/1/2003 7:45:40 AMYes207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$38,217$40,000$3,057$50,000$3,822$No500,000$--------No--------
Vladi FirstovMANHATTAN SWEDES (MAN)LW226/19/2001 6:16:25 AMYes193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$45,860$40,000$3,057$60,000$4,586$No600,000$600,000$-------NoNo-------
William EklundMANHATTAN SWEDES (MAN)C/LW2110/12/2002 6:53:57 AMYes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$61,146$40,000$3,057$80,000$6,115$No800,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4522.36200 Lbs6 ft22.09664,444$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaAlex TurcotteIsac Lundeström40122
2Juraj SlafkovskýJoe VelenoJonah Gadjovich30122
3Dylan JamesAleksi SaarelaFrank Nazar20122
4William EklundFedor SvechkovNoah Östlund10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PowerGustav Lindstrom40122
2Timothy LiljegrenSam Rinzel30122
3Alexander Alexeyev20122
4Owen PowerGustav Lindstrom10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaAlex TurcotteIsac Lundeström60122
2Juraj SlafkovskýJoe VelenoJonah Gadjovich40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Filip ZadinaAlex Turcotte60122
2Isac LundeströmJoe Veleno40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Filip Zadina60122Owen PowerGustav Lindstrom60122
2Alex Turcotte40122Timothy LiljegrenSam Rinzel40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mavrik BourqueJuraj Slafkovský60122
2Isac LundeströmJoe Veleno40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaAlex TurcotteIsac LundeströmOwen PowerGustav Lindstrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaAlex TurcotteIsac LundeströmOwen PowerGustav Lindstrom
Extra Forwards
Normal PowerPlayPenalty Kill
Mavrik Bourque, Fedor Svechkov, Jonah GadjovichFrank Nazar, Fedor SvechkovMavrik Bourque
Extra Defensemen
Normal PowerPlayPenalty Kill
Alexander Alexeyev, , Timothy LiljegrenAlexander Alexeyev, Timothy Liljegren
Penalty Shots
Filip Zadina, Alex Turcotte, Isac Lundeström, Joe Veleno, Aleksi Saarela
Goalie
#1 : Spencer Knight, #2 : Magnus Hellberg
Custom OT Lines Forwards
Filip Zadina, Alex Turcotte, Isac Lundeström, Joe Veleno, Aleksi Saarela, Juraj Slafkovský, Juraj Slafkovský, Noah Östlund, Frank Nazar, Fedor Svechkov, Mavrik Bourque
Custom OT Lines Defensemen
Owen Power, Gustav Lindstrom, Timothy Liljegren, Sam Rinzel, Alexander Alexeyev


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
1BANGOR PUPPIES32100000981110000003122110000067-140.6679162500718590189081591488957853084114321.43%4175.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
2BROOKLYN GRINDERS532000001617-120200000611-533000000106460.60016304610718590181928159148895716656208413430.77%10370.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
3CALGARY WRANGLERS310010101385100000104312100100095461.000131932007185901890815914889579431106610220.00%50100.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
4CAPE BRETON LEPRECHAUNS41200100918-931100100815-71010000013-230.37591625007185901812281591488957141371276500.00%6266.67%0871166852.22%838169449.47%652119854.42%168699717717171399688
5CAPE FEAR WILDCATS513010001420-62110000069-330201000811-340.4001422360071859018161815914889571745924947114.29%12558.33%0871166852.22%838169449.47%652119854.42%168699717717171399688
6CHICAGO UNDERTAKERS3110100013942100100010461010000035-240.66713203300718590189781591488957111361664300.00%8362.50%0871166852.22%838169449.47%652119854.42%168699717717171399688
7COLORADO CUBS51300010171612020000036-3311000101410440.4001728450071859018169815914889571625916935120.00%8275.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
8COQUITLAM EXPRESS30100101913-41010000024-22000010179-220.3339142310718590188981591488957111441047500.00%4175.00%1871166852.22%838169449.47%652119854.42%168699717717171399688
9DETROIT STEELERS42200000131032020000037-422000000103740.50013253800718590181478159148895715250146210440.00%7357.14%0871166852.22%838169449.47%652119854.42%168699717717171399688
10EDMONTON OILERS422000001012-2211000005412110000058-340.50010142400718590181378159148895713736157413215.38%5180.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
11HALIFAX HELL53100001121023110000168-22200000062470.7001219310071859018151815914889571605331829444.44%14192.86%0871166852.22%838169449.47%652119854.42%168699717717171399688
12HAWAII PUNCH321000001147211000006331100000051440.66711162700718590181138159148895773318608112.50%30100.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
13LAS CRUCES MESCALEROS421001001314-12110000057-22100010087150.6251319320071859018146815914889571234724685240.00%12558.33%1871166852.22%838169449.47%652119854.42%168699717717171399688
14NEWTON NIGHTHAWKS31100001972110000005142010000146-230.50091423007185901810781591488957823326708225.00%13376.92%0871166852.22%838169449.47%652119854.42%168699717717171399688
15NORTH VAN ROCKERS3210000011831010000023-12200000095440.6671119300071859018938159148895710727125412433.33%7185.71%0871166852.22%838169449.47%652119854.42%168699717717171399688
16PENSACOLA BLACK BEARS3100100111101210000018801000100032150.8331120310071859018112815914889571134316462150.00%8187.50%0871166852.22%838169449.47%652119854.42%168699717717171399688
17PHILADELPHIA PHANTOMS30200001512-71010000014-32010000148-410.16758130071859018968159148895794592258900.00%11554.55%0871166852.22%838169449.47%652119854.42%168699717717171399688
18PINCHER CREEK WOLVERINES64101000261610440000001991020101000770100.833264470007185901819581591488957180492011619526.32%10370.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
19SAN JOSE AVACADOES330000001358220000007431100000061561.0001323360071859018104815914889577117125510440.00%60100.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
20SYRACUSE BABY BULLS502001111421-72010001045-1301001011016-640.40014193300718590181428159148895712046529927725.93%261253.85%0871166852.22%838169449.47%652119854.42%168699717717171399688
21VANCOUVER THOUSANDAIRES321000006602110000045-11100000021140.6676101600718590188781591488957863310541218.33%50100.00%0871166852.22%838169449.47%652119854.42%168699717717171399688
Total803428054362542441040171701122117121-44017110431413712314940.5882544156692071859018264081591488957254287637814632064823.30%1845271.74%2871166852.22%838169449.47%652119854.42%168699717717171399688
_Since Last GM Reset803428054362542441040171701122117121-44017110431413712314940.5882544156692071859018264081591488957254287637814632064823.30%1845271.74%2871166852.22%838169449.47%652119854.42%168699717717171399688
_Vs Conference45191603232144143123109001216874-622970311176697540.600144234378107185901814638159148895714054432128391183025.42%1022971.57%0871166852.22%838169449.47%652119854.42%168699717717171399688
_Vs Division24810012126586-211236001113048-181254011013538-3240.50065106171107185901876881591488957761251139435611626.23%682366.18%0871166852.22%838169449.47%652119854.42%168699717717171399688

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8094L225441566926402542876378146320
All Games
GPWLOTWOTL SOWSOLGFGA
8034285436254244
Home Games
GPWLOTWOTL SOWSOLGFGA
4017171122117121
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4017114314137123
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2064823.30%1845271.74%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8159148895771859018
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
871166852.22%838169449.47%652119854.42%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
168699717717171399688


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
210PINCHER CREEK WOLVERINES2MANHATTAN SWEDES5BWBoxScore
423MANHATTAN SWEDES3SYRACUSE BABY BULLS4ALXXR5BoxScore
631CAPE BRETON LEPRECHAUNS9MANHATTAN SWEDES1BLBoxScore
842MANHATTAN SWEDES5COLORADO CUBS1AWBoxScore
1055MANHATTAN SWEDES3CAPE FEAR WILDCATS5ALBoxScore
1162EDMONTON OILERS1MANHATTAN SWEDES4BWBoxScore
1274MANHATTAN SWEDES3BROOKLYN GRINDERS2AWBoxScore
1485PINCHER CREEK WOLVERINES2MANHATTAN SWEDES4BWBoxScore
1597CAPE FEAR WILDCATS7MANHATTAN SWEDES1BLBoxScore
19113HALIFAX HELL1MANHATTAN SWEDES2BWBoxScore
20121MANHATTAN SWEDES3COLORADO CUBS4ALBoxScore
22131MANHATTAN SWEDES3BROOKLYN GRINDERS2AWBoxScore
23139MANHATTAN SWEDES3LAS CRUCES MESCALEROS4ALXBoxScore
25149PENSACOLA BLACK BEARS2MANHATTAN SWEDES3BWBoxScore
26159MANHATTAN SWEDES2BANGOR PUPPIES6ALBoxScore
28171MANHATTAN SWEDES2CAPE FEAR WILDCATS4ALBoxScore
29176HALIFAX HELL4MANHATTAN SWEDES3BLXXBoxScore
32192DETROIT STEELERS3MANHATTAN SWEDES1BLBoxScore
34206CAPE FEAR WILDCATS2MANHATTAN SWEDES5BWBoxScore
37219MANHATTAN SWEDES4CALGARY WRANGLERS1AWBoxScore
38227NORTH VAN ROCKERS3MANHATTAN SWEDES2BLBoxScore
40239MANHATTAN SWEDES3PENSACOLA BLACK BEARS2AWXBoxScore
42250LAS CRUCES MESCALEROS6MANHATTAN SWEDES3BLBoxScore
43259MANHATTAN SWEDES5LAS CRUCES MESCALEROS3AWBoxScore
44271MANHATTAN SWEDES4COQUITLAM EXPRESS5ALXBoxScore
46281NEWTON NIGHTHAWKS1MANHATTAN SWEDES5BWBoxScore
48292MANHATTAN SWEDES2SYRACUSE BABY BULLS6ALR5BoxScore
50302MANHATTAN SWEDES5CALGARY WRANGLERS4AWXBoxScore
51308SAN JOSE AVACADOES3MANHATTAN SWEDES4BWBoxScore
53324CHICAGO UNDERTAKERS1MANHATTAN SWEDES6BWBoxScore
55338LAS CRUCES MESCALEROS1MANHATTAN SWEDES2BWBoxScore
57345MANHATTAN SWEDES4PINCHER CREEK WOLVERINES3AWXBoxScore
59359MANHATTAN SWEDES2NEWTON NIGHTHAWKS3ALBoxScore
61368SAN JOSE AVACADOES1MANHATTAN SWEDES3BWBoxScore
64380SYRACUSE BABY BULLS2MANHATTAN SWEDES3BWXXR5BoxScore
66394MANHATTAN SWEDES1PHILADELPHIA PHANTOMS4ALBoxScore
67402COQUITLAM EXPRESS4MANHATTAN SWEDES2BLBoxScore
69415MANHATTAN SWEDES5SYRACUSE BABY BULLS6ALXR5BoxScore
71424MANHATTAN SWEDES5HAWAII PUNCH1AWBoxScore
73433VANCOUVER THOUSANDAIRES2MANHATTAN SWEDES3BWBoxScore
75447HAWAII PUNCH1MANHATTAN SWEDES5BWBoxScore
77457MANHATTAN SWEDES2NEWTON NIGHTHAWKS3ALXXBoxScore
79468MANHATTAN SWEDES6COLORADO CUBS5AWXXBoxScore
80480SYRACUSE BABY BULLS3MANHATTAN SWEDES1BLR5BoxScore
82493MANHATTAN SWEDES5NORTH VAN ROCKERS3AWBoxScore
83501HAWAII PUNCH2MANHATTAN SWEDES1BLBoxScore
85512MANHATTAN SWEDES3PINCHER CREEK WOLVERINES4ALBoxScore
87522DETROIT STEELERS4MANHATTAN SWEDES2BLBoxScore
89532MANHATTAN SWEDES2VANCOUVER THOUSANDAIRES1AWBoxScore
91544PINCHER CREEK WOLVERINES2MANHATTAN SWEDES5BWBoxScore
94558MANHATTAN SWEDES4NORTH VAN ROCKERS2AWBoxScore
95566MANHATTAN SWEDES4BANGOR PUPPIES1AWBoxScore
96572BANGOR PUPPIES1MANHATTAN SWEDES3BWBoxScore
99587VANCOUVER THOUSANDAIRES3MANHATTAN SWEDES1BLBoxScore
101597MANHATTAN SWEDES3COQUITLAM EXPRESS4ALXXBoxScore
103610PINCHER CREEK WOLVERINES3MANHATTAN SWEDES5BWBoxScore
104622MANHATTAN SWEDES6DETROIT STEELERS1AWBoxScore
105630HALIFAX HELL3MANHATTAN SWEDES1BLBoxScore
107642MANHATTAN SWEDES4DETROIT STEELERS2AWBoxScore
109652BROOKLYN GRINDERS4MANHATTAN SWEDES2BLBoxScore
111667CHICAGO UNDERTAKERS3MANHATTAN SWEDES4BWXBoxScore
113675MANHATTAN SWEDES3CHICAGO UNDERTAKERS5ALBoxScore
114686MANHATTAN SWEDES2HALIFAX HELL1AWBoxScore
116697PENSACOLA BLACK BEARS6MANHATTAN SWEDES5BLXXBoxScore
117704MANHATTAN SWEDES3CAPE FEAR WILDCATS2AWXBoxScore
120719MANHATTAN SWEDES4HALIFAX HELL1AWBoxScore
121725COLORADO CUBS3MANHATTAN SWEDES1BLBoxScore
123742BROOKLYN GRINDERS7MANHATTAN SWEDES4BLBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
126758COLORADO CUBS3MANHATTAN SWEDES2BLBoxScore
127766MANHATTAN SWEDES3PHILADELPHIA PHANTOMS4ALXXBoxScore
129779PHILADELPHIA PHANTOMS4MANHATTAN SWEDES1BLBoxScore
132795CALGARY WRANGLERS3MANHATTAN SWEDES4BWXXBoxScore
133799MANHATTAN SWEDES3EDMONTON OILERS2AWBoxScore
135816CAPE BRETON LEPRECHAUNS2MANHATTAN SWEDES4BWBoxScore
136827MANHATTAN SWEDES4BROOKLYN GRINDERS2AWBoxScore
139839CAPE BRETON LEPRECHAUNS4MANHATTAN SWEDES3BLXBoxScore
140850MANHATTAN SWEDES1CAPE BRETON LEPRECHAUNS3ALBoxScore
142859MANHATTAN SWEDES6SAN JOSE AVACADOES1AWBoxScore
143863MANHATTAN SWEDES2EDMONTON OILERS6ALBoxScore
145873EDMONTON OILERS3MANHATTAN SWEDES1BLBoxScore
148889MANHATTAN SWEDES-CAPE BRETON LEPRECHAUNS-
151900EDMONTON OILERS-MANHATTAN SWEDES-
152904MANHATTAN SWEDES-SAN JOSE AVACADOES-
155915CALGARY WRANGLERS-MANHATTAN SWEDES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance78,75839,702
Attendance PCT98.45%99.26%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
2 2962 - 98.72% 83,802$3,352,060$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,860,484$ 2,990,000$ 180,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,990,000$ 2,752,249$ 45 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
167,603$ 12 26,688$ 320,256$




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