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MANHATTAN SWEDES
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 19 | PP%: 33.33% | PK%: 90.00%
GM : Justin B | Morale : 43 | Team Overall : 62
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Game Center
MANHATTAN SWEDES
1-4-0, 2pts
2
FINAL
1 COLORADO CUBS
5-4-0, 10pts
Team Stats
L1StreakL1
0-3-0Home Record2-2-0
1-1-0Home Record3-2-0
1-3-1Last 10 Games5-4-0
2.40Goals Per Game3.44
3.80Goals Against Per Game3.33
33.33%Power Play Percentage14.29%
90.00%Penalty Kill Percentage56.52%
COLORADO CUBS
5-4-0, 10pts
2
FINAL
1 MANHATTAN SWEDES
1-4-0, 2pts
Team Stats
L1StreakL1
2-2-0Home Record0-3-0
3-2-0Home Record1-1-0
5-4-0Last 10 Games1-3-1
3.44Goals Per Game2.40
3.33Goals Against Per Game3.80
14.29%Power Play Percentage33.33%
56.52%Penalty Kill Percentage90.00%
Team Leaders
Goals
Filip Zadina
3
Assists
Sam Rinzel
5
Points
Sam Rinzel
6
Plus/Minus
Noah Östlund
0
Wins
Spencer Knight
1
Save Percentage
Spencer Knight
0.886

Team Stats
Goals For
12
2.40 GFG
Shots For
178
35.60 Avg
Power Play Percentage
33.3%
3 GF
Offensive Zone Start
41.0%
Goals Against
19
3.80 GAA
Shots Against
166
33.20 Avg
Penalty Kill Percentage
90.0%%
1 GA
Defensive Zone Start
34.7%
Team Info

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


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team45
Farm Team18
Contract Limit63 / 66
Prospects0


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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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8*Wildcard for zero or more non-space characters.
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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)XX100.0046778889693967054796857729477065732242800,000$
2Alex Turcotte (R) (C)X100.00361264847979807279736965616690065701233750,000$
3Isac Lundeström (R)XXX100.0020193899493937064676151569674065682242800,000$
4Aleksi SaarelaX100.001199707686786969706945558371065642272650,000$
5Joe Veleno (R)XX100.00641486747676676547676350707369050632242650,000$
6Juraj Slafkovský (R)X100.0042865676573656456666364566658042621203900,000$
7Frank Nazar (R)X100.00101080677371676472646061585765065611203900,000$
8Noah Östlund (R)X100.0010189656867696367626161666973056611203800,000$
9Mavrik Bourque (R)X100.00322187687374746358586357576467065611221650,000$
10Fedor Svechkov (R)X100.0029194687773676267615758556563065611212700,000$
11Dylan James (R)X100.00181986686968726348636061566066065612193800,000$
12Jonah Gadjovich (R)XX100.00471675757378765743585753557970065612251600,000$
13William Eklund (R)XX100.00231277707166755756535460636470019581212800,000$
14Owen Power (R) (A)X100.00662488767976767144724868447482045691212800,000$
15Logan Mailloux (R)X100.00674357638066636139615561486172066621212700,000$
16Timothy Liljegren (R)X100.0059681737769745335465055569172018621241600,000$
17Gustav LindstromX100.00521089737475745244574758487168065622251600,000$
18Sam Rinzel (R)X100.00181676677469726444625865506765053611193800,000$
19Alexander 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 JuoleviX100.00641486817784907325545951508669067661252750,000$
12Griffin ReinhartX100.00522284598267797941686160468378063652301800,000$
13Gabriel CarlssonX100.0035199757990865941664449408472067631271500,000$
14Artyom Grushnikov (R)X100.00421181597463725340585165446262020592202550,000$
15Reilly Walsh (R)X100.00715172617752635640525457456867020592241500,000$
16Anttoni Honka (R)X100.0037197697263635744575260485665020592233500,000$
17Jack Rathbone (R)X100.00523270657856605140575660527462020592241600,000$
18Tyson Hinds (R)X100.00546778647467595744585459336161020592202500,000$
19Samuel Bolduc (R)X100.00504764657755625744575659465863020582223550,000$
20Jordan Spence (R)X100.00567945637156625444515166455756018582233500,000$
TEAM AVERAGE100.0037188070757072615160575854696804061
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Spencer Knight (R)100.0074787779767778767868608183051751235775,000$
2Magnus Hellberg100.00677269807278807476635994800527413321,100,000$
Scratches
1Alexei Kolosov (R)100.0060636279677269696865686861027662222600,000$
2Benjamin Gaudreau (R)100.0064616377686264616364606664029642212600,000$
3Drew Commesso (R)100.0060616277696467636163616164022632211550,000$
4Mason Beaupit (R)100.0063646270646362636062585960045622203600,000$
TEAM AVERAGE100.006567667769697068686461726903867
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alex Tanguay71657978808065CAN4331,200,000$


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
1Sam RinzelMANHATTAN SWEDES (MAN)D5156-1003515136.67%110020.110001400007000%022001.1900000000
2Filip ZadinaMANHATTAN SWEDES (MAN)LW/RW5325-5201652261813.64%211122.2820247000090026.67%1563000.9000000000
3Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW5213-12074153713.33%18416.9801105000030133.33%621000.7100000000
4Alex TurcotteMANHATTAN SWEDES (MAN)C5123-560149841112.50%210921.8501107000170059.71%13954000.5500000000
5Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW5123-50024124138.33%110420.9602207000030058.82%1743000.5700000000
6Owen PowerMANHATTAN SWEDES (MAN)D5022-300161213240%613226.5401108000010000%021000.3000000010
7Noah ÖstlundMANHATTAN SWEDES (MAN)C51120000151720.00%1428.470000000000100%040000.9400000001
8Gustav LindstromMANHATTAN SWEDES (MAN)D5022-30011710330%413226.5401118000010000%001000.3000000000
9Frank NazarMANHATTAN SWEDES (MAN)C5101-3002152320.00%25911.9200000000020050.00%201000.3400000000
10William EklundMANHATTAN SWEDES (MAN)C/LW51010002521150.00%3438.680000000001000%131000.4600000000
11Fedor SvechkovMANHATTAN SWEDES (MAN)C5011000017650%0428.5400000000000056.25%1621000.4700000000
12Aleksi SaarelaMANHATTAN SWEDES (MAN)C5011-3001213570%05711.4100000000000061.90%2120000.3500000000
13Timothy LiljegrenMANHATTAN SWEDES (MAN)D5011-1001559410%410020.100000400007000%002000.2000000000
14Joe VelenoMANHATTAN SWEDES (MAN)C/LW5101-100154194115.26%28316.7210125000130052.00%5020000.2400000000
15Mavrik BourqueMANHATTAN SWEDES (MAN)C5000000000000%061.350000000005000%10000000000000
16Dylan JamesMANHATTAN SWEDES (MAN)LW5000-300265150%25711.420000000000000%13200000000000
17Logan MaillouxMANHATTAN SWEDES (MAN)D5000-5401330020%66713.440000000000000%01200000000000
18Jonah GadjovichMANHATTAN SWEDES (MAN)LW/RW5000-1405416370%18116.290000500000000%22000000000000
19Alexander AlexeyevMANHATTAN SWEDES (MAN)D5000-500342020%16713.410000000000000%00200000000000
Team Total or Average95122032-4518012782178501106.74%39148515.633698650002731154.61%2714026000.4300000011
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Spencer KnightMANHATTAN SWEDES (MAN)51310.8863.81299201916688000050100
Team Total or Average51310.8863.8129920191668800050100


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary 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/ANoNo2Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No650,000$--------No--------
Alex TurcotteMANHATTAN SWEDES (MAN)C232/26/2001 3:03:27 AMYes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$160,714$40,000$8,571$75,000$16,071$No750,000$750,000$-------NoNo-------
Alexander AlexeyevMANHATTAN SWEDES (MAN)D2411/15/1999 6:00:28 AMYes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No650,000$--------No--------
Alexander SuzdalevMANHATTAN SWEDES (MAN)LW196/1/2004 9:58:30 AMYes180 Lbs5 ft10NoNoN/ANoNo3Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$500,000$-------NoNo-------
Alexei KolosovMANHATTAN SWEDES (MAN)G221/4/2002 7:49:15 AMYes221 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No600,000$--------No--------
Anttoni HonkaMANHATTAN SWEDES (MAN)D2310/5/2000 8:48:07 AMYes187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$500,000$-------NoNo-------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D206/1/2003 6:22:50 AMYes226 Lbs6 ft3NoNoN/ANoNo2Pro & Farm550,000$117,857$40,000$8,571$55,000$11,786$No550,000$--------No--------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G211/11/2003 8:07:43 AMYes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No600,000$--------No--------
Cole HuckinsMANHATTAN SWEDES (MAN)C206/1/2003 7:47:23 AMYes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$--------No--------
Danny ZhilkinMANHATTAN SWEDES (MAN)C196/1/2004 3:34:29 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$500,000$-------NoNo-------
Dominik BokkMANHATTAN SWEDES (MAN)LW/RW242/3/2000 5:46:29 AMYes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No650,000$--------No--------
Drew Commesso MANHATTAN SWEDES (MAN)G216/1/2002 10:09:32 AMYes228 Lbs6 ft5NoNoN/ANoNo1Pro & Farm550,000$117,857$40,000$8,571$55,000$11,786$No------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW196/1/2004 8:17:15 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$800,000$-------NoNo-------
Fedor SvechkovMANHATTAN SWEDES (MAN)C214/5/2003 8:03:12 AMYes204 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$150,000$40,000$8,571$70,000$15,000$No700,000$--------No--------
Filip ZadinaMANHATTAN SWEDES (MAN)LW/RW2411/27/1999 4:51:19 AMYes202 Lbs6 ft1NoNoN/ANoNo24/8/2024Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$--------No--------
Frank NazarMANHATTAN SWEDES (MAN)C201/14/2004 5:19:37 AMYes181 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$192,857$40,000$8,571$90,000$19,286$No900,000$900,000$-------NoNo-------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D271/2/1997 3:32:56 AMNo206 Lbs6 ft7NoNoN/ANoNo1Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No------------------
Griffin ReinhartMANHATTAN SWEDES (MAN)D301/24/1994 3:22:57 AMNo233 Lbs6 ft5NoNoN/ANoNo1Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No------------------
Gustav LindstromMANHATTAN SWEDES (MAN)D256/1/1998 1:19:32 AMNo191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No------------------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW2411/6/1999 5:41:21 AMYes197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$--------No--------
Jack RathboneMANHATTAN SWEDES (MAN)D246/1/1999 8:54:12 AMYes214 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No------------------
Jan MyšákMANHATTAN SWEDES (MAN)C/LW215/24/2002 10:13:36 AMYes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$160,714$40,000$8,571$75,000$16,071$No------------------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW241/13/2000 5:58:17 AMYes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No650,000$--------No--------
Jonah GadjovichMANHATTAN SWEDES (MAN)LW/RW2510/12/1998 7:26:42 AMYes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No------------------
Jordan SpenceMANHATTAN SWEDES (MAN)D232/24/2001 5:40:41 AMYes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$500,000$-------NoNo-------
Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW203/30/2004 4:55:57 AMYes238 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$192,857$40,000$8,571$90,000$19,286$No900,000$900,000$-------NoNo-------
Logan MaillouxMANHATTAN SWEDES (MAN)D214/15/2003 8:51:05 AMYes221 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$150,000$40,000$8,571$70,000$15,000$No700,000$--------No--------
Magnus HellbergMANHATTAN SWEDES (MAN)G334/4/1991 12:38:20 PMNo203 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,100,000$235,714$40,000$8,571$110,000$23,571$No1,100,000$--------No--------
Mason BeaupitMANHATTAN SWEDES (MAN)G209/23/2003 4:06:59 AMYes185 Lbs6 ft5NoNoN/ANoNo3Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No600,000$600,000$-------NoNo-------
Mavrik BourqueMANHATTAN SWEDES (MAN)C221/8/2002 9:01:49 AMYes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No------------------
Noah ÖstlundMANHATTAN SWEDES (MAN)C203/11/2004 5:39:24 AMYes165 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$800,000$-------NoNo-------
Olli JuoleviMANHATTAN SWEDES (MAN)D255/5/1998 7:10:45 AMNo200 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$160,714$40,000$8,571$75,000$16,071$No750,000$--------No--------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW196/1/2004 3:19:24 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$150,000$40,000$8,571$70,000$15,000$No700,000$700,000$-------NoNo-------
Owen PowerMANHATTAN SWEDES (MAN)D2111/22/2002 6:14:46 AMYes221 Lbs6 ft8NoNoN/ANoNo2Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$--------No--------
Reilly WalshMANHATTAN SWEDES (MAN)D246/1/1999 8:18:59 AMYes214 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No------------------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW2210/2/2001 8:04:04 AMYes176 Lbs6 ft0NoNoN/ANoNo1Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No------------------
Sam ColangeloMANHATTAN SWEDES (MAN)RW2212/26/2001 9:38:13 AMYes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$139,286$40,000$8,571$65,000$13,929$No------------------
Sam RinzelMANHATTAN SWEDES (MAN)D196/25/2004 6:18:43 AMYes181 Lbs6 ft4NoNoN/ANoNo3Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$800,000$-------NoNo-------
Samuel BolducMANHATTAN SWEDES (MAN)D226/1/2001 7:01:50 AMYes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm550,000$117,857$40,000$8,571$55,000$11,786$No550,000$550,000$-------NoNo-------
Spencer KnightMANHATTAN SWEDES (MAN)G234/19/2001 4:30:30 AMYes203 Lbs6 ft4NoNoN/ANoNo5Pro & Farm775,000$166,071$40,000$8,571$77,500$16,607$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$128,571$40,000$8,571$60,000$12,857$No------------------
Ty Smilanic MANHATTAN SWEDES (MAN)C216/1/2002 7:59:26 AMYes188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No------------------
Tyson HindsMANHATTAN SWEDES (MAN)D206/1/2003 7:45:40 AMYes207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$107,143$40,000$8,571$50,000$10,714$No500,000$--------No--------
Vladi FirstovMANHATTAN SWEDES (MAN)LW226/19/2001 6:16:25 AMYes193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$128,571$40,000$8,571$60,000$12,857$No600,000$600,000$-------NoNo-------
William EklundMANHATTAN SWEDES (MAN)C/LW2110/12/2002 6:53:57 AMYes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$171,429$40,000$8,571$80,000$17,143$No800,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4522.47200 Lbs6 ft22.09665,000$



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 AlexeyevLogan Mailloux20122
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, Logan Mailloux, Timothy LiljegrenAlexander AlexeyevLogan Mailloux, 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
1COLORADO CUBS514000001219-730300000714-72110000055020.200122032002640178515968016639201279333.33%10190.00%06511158.56%469448.94%376656.06%11067105428542
Total514000001219-730300000714-72110000055020.200122032002640178515968016639201279333.33%10190.00%06511158.56%469448.94%376656.06%11067105428542
_Since Last GM Reset514000001219-730300000714-72110000055020.200122032002640178515968016639201279333.33%10190.00%06511158.56%469448.94%376656.06%11067105428542
_Vs Conference514000001219-730300000714-72110000055020.200122032002640178515968016639201279333.33%10190.00%06511158.56%469448.94%376656.06%11067105428542

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L1122032178166392012700
All Games
GPWLOTWOTL SOWSOLGFGA
51400001219
Home Games
GPWLOTWOTL SOWSOLGFGA
3030000714
Visitor Games
GPWLOTWOTL SOWSOLGFGA
211000055
Last 10 Games
WLOTWOTL SOWSOL
130100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
9333.33%10190.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
51596802640
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6511158.56%469448.94%376656.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11067105428542


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
28COLORADO CUBS5MANHATTAN SWEDES3BLBoxScore
416COLORADO CUBS7MANHATTAN SWEDES3BLBoxScore
624MANHATTAN SWEDES3COLORADO CUBS4ALXBoxScore
832MANHATTAN SWEDES2COLORADO CUBS1AWBoxScore
1040COLORADO CUBS2MANHATTAN SWEDES1BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 3000 - 100.00% 85,000$255,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,992,500$ 180,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 45 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 6 0$ 0$




MANHATTAN SWEDES Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

MANHATTAN SWEDES Goalies Stat Leaders (Regular Season)

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

MANHATTAN SWEDES Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

MANHATTAN SWEDES Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

MANHATTAN SWEDES Goalies Stat Leaders (Play-Off)

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