Connexion

MANHATTAN SWEDES
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 19 | PP%: 33.33% | PK%: 90.00%
DG: Justin B | Morale : 33 | Moyenne d’équipe : 62
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Centre de jeu
MANHATTAN SWEDES
1-4-0, 2pts
2
FINAL
1 COLORADO CUBS
5-5-0, 10pts
Team Stats
L1SéquenceL2
0-3-0Fiche domicile2-2-0
1-1-0Fiche domicile3-3-0
1-3-1Derniers 10 matchs5-5-0
2.40Buts par match 3.20
3.80Buts contre par match 3.30
33.33%Pourcentage en avantage numérique12.50%
90.00%Pourcentage en désavantage numérique55.56%
COLORADO CUBS
5-5-0, 10pts
2
FINAL
1 MANHATTAN SWEDES
1-4-0, 2pts
Team Stats
L2SéquenceL1
2-2-0Fiche domicile0-3-0
3-3-0Fiche domicile1-1-0
5-5-0Derniers 10 matchs1-3-1
3.20Buts par match 2.40
3.30Buts contre par match 3.80
12.50%Pourcentage en avantage numérique33.33%
55.56%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Buts
Filip Zadina
3
Passes
Sam Rinzel
5
Points
Sam Rinzel
6
Plus/Moins
Noah Östlund
0
Victoires
Spencer Knight
1
Pourcentage d’arrêts
Spencer Knight
0.886

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
178
35.60 Avg
Pourcentage en avantage numérique
33.3%
3 GF
Début de zone offensive
41.0%
Buts contre
19
3.80 GAA
Tirs contre
166
33.20 Avg
Pourcentage en désavantage numérique
90.0%%
1 GA
Début de la zone défensive
34.7%
Informations de l'équipe

Directeur généralJustin B
EntraîneurAlex Tanguay
DivisionSmythe
ConférenceRosling Conference
CapitaineAlex Turcotte
Assistant #1Owen Power
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro45
Équipe Mineure18
Limite contact 63 / 66
Espoirs0


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
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)X100.0059681737769745335465055569172018621251600,000$
17Gustav LindstromX100.00521089737475745244574758487168065622251600,000$
18Sam Rinzel (R)X100.00181676677469726444625865506765053611193800,000$
19Alexander Alexeyev (R)X100.0060395667846674833484663667066018592242650,000$
Rayé
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 JuoleviX100.00641486817784907325545951508669067661262750,000$
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$
MOYENNE D’ÉQUIPE100.0037188070757072615160575854696804061
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Spencer Knight (R)100.0074787779767778767868608183051751235775,000$
2Magnus Hellberg100.00677269807278807476635994800527413321,100,000$
Rayé
1Alexei Kolosov (R)100.0060636279677269696865686861027662222600,000$
2Benjamin Gaudreau (R)100.0064616377686264616364606664029642212600,000$
3Drew Commesso (R)100.0060616277696467636163616164022632211550,000$
4Mason Beaupit (R)100.0063646270646362636062585960045622203600,000$
MOYENNE D’ÉQUIPE100.006567667769697068686461726903867
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Tanguay71657978808065CAN4331,200,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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
Statistiques d’équipe totales ou en moyenne95122032-4518012782178501106.74%39148515.633698650002731154.61%2714026000.4300000011
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP 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
Statistiques d’équipe totales ou en moyenne51310.8863.8129920191668800050100


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Aleksi SaarelaMANHATTAN SWEDES (MAN)C271/7/1997 6:37:14 AMNo208 Lbs6 ft0NoNoN/ANoNo2Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$--------No--------
Alex TurcotteMANHATTAN SWEDES (MAN)C232/26/2001 3:03:27 AMYes193 Lbs6 ft1NoNoN/ANoNo3Pro & Farm750,000$35,714$40,000$1,905$75,000$3,571$No750,000$750,000$-------NoNo-------
Alexander AlexeyevMANHATTAN SWEDES (MAN)D2411/15/1999 6:00:28 AMYes205 Lbs6 ft4NoNoN/ANoNo2Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$--------No--------
Alexander SuzdalevMANHATTAN SWEDES (MAN)LW196/1/2004 9:58:30 AMYes180 Lbs5 ft10NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Alexei KolosovMANHATTAN SWEDES (MAN)G221/4/2002 7:49:15 AMYes221 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No600,000$--------No--------
Anttoni HonkaMANHATTAN SWEDES (MAN)D2310/5/2000 8:48:07 AMYes187 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Artyom GrushnikovMANHATTAN SWEDES (MAN)D206/1/2003 6:22:50 AMYes226 Lbs6 ft3NoNoN/ANoNo2Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No550,000$--------No--------
Benjamin GaudreauMANHATTAN SWEDES (MAN)G211/11/2003 8:07:43 AMYes206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No600,000$--------No--------
Cole HuckinsMANHATTAN SWEDES (MAN)C206/1/2003 7:47:23 AMYes187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$--------No--------
Danny ZhilkinMANHATTAN SWEDES (MAN)C196/1/2004 3:34:29 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Dominik BokkMANHATTAN SWEDES (MAN)LW/RW242/3/2000 5:46:29 AMYes194 Lbs6 ft3NoNoN/ANoNo2Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$--------No--------
Drew Commesso MANHATTAN SWEDES (MAN)G216/1/2002 10:09:32 AMYes228 Lbs6 ft5NoNoN/ANoNo1Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No------------------
Dylan JamesMANHATTAN SWEDES (MAN)LW196/1/2004 8:17:15 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Fedor SvechkovMANHATTAN SWEDES (MAN)C214/5/2003 8:03:12 AMYes204 Lbs6 ft4NoNoN/ANoNo2Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$--------No--------
Filip ZadinaMANHATTAN SWEDES (MAN)LW/RW2411/27/1999 4:51:19 AMYes202 Lbs6 ft1NoNoN/ANoNo24/8/2024Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$--------No--------
Frank NazarMANHATTAN SWEDES (MAN)C201/14/2004 5:19:37 AMYes181 Lbs5 ft10NoNoN/ANoNo3Pro & Farm900,000$42,857$40,000$1,905$90,000$4,286$No900,000$900,000$-------NoNo-------
Gabriel CarlssonMANHATTAN SWEDES (MAN)D271/2/1997 3:32:56 AMNo206 Lbs6 ft7NoNoN/ANoNo1Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No------------------
Griffin ReinhartMANHATTAN SWEDES (MAN)D301/24/1994 3:22:57 AMNo233 Lbs6 ft5NoNoN/ANoNo1Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No------------------
Gustav LindstromMANHATTAN SWEDES (MAN)D256/1/1998 1:19:32 AMNo191 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Isac LundeströmMANHATTAN SWEDES (MAN)C/LW/RW2411/6/1999 5:41:21 AMYes197 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$--------No--------
Jack RathboneMANHATTAN SWEDES (MAN)D246/1/1999 8:54:12 AMYes214 Lbs6 ft2NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Jan MyšákMANHATTAN SWEDES (MAN)C/LW215/24/2002 10:13:36 AMYes180 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$35,714$40,000$1,905$75,000$3,571$No------------------
Joe VelenoMANHATTAN SWEDES (MAN)C/LW241/13/2000 5:58:17 AMYes200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No650,000$--------No--------
Jonah GadjovichMANHATTAN SWEDES (MAN)LW/RW2510/12/1998 7:26:42 AMYes193 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Jordan SpenceMANHATTAN SWEDES (MAN)D232/24/2001 5:40:41 AMYes205 Lbs6 ft1NoNoN/ANoNo3Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$500,000$-------NoNo-------
Juraj SlafkovskýMANHATTAN SWEDES (MAN)LW203/30/2004 4:55:57 AMYes238 Lbs6 ft3NoNoN/ANoNo3Pro & Farm900,000$42,857$40,000$1,905$90,000$4,286$No900,000$900,000$-------NoNo-------
Logan MaillouxMANHATTAN SWEDES (MAN)D214/15/2003 8:51:05 AMYes221 Lbs6 ft5NoNoN/ANoNo2Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$--------No--------
Magnus HellbergMANHATTAN SWEDES (MAN)G334/4/1991 12:38:20 PMNo203 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,100,000$52,381$40,000$1,905$110,000$5,238$No1,100,000$--------No--------
Mason BeaupitMANHATTAN SWEDES (MAN)G209/23/2003 4:06:59 AMYes185 Lbs6 ft5NoNoN/ANoNo3Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No600,000$600,000$-------NoNo-------
Mavrik BourqueMANHATTAN SWEDES (MAN)C221/8/2002 9:01:49 AMYes192 Lbs6 ft1NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Noah ÖstlundMANHATTAN SWEDES (MAN)C203/11/2004 5:39:24 AMYes165 Lbs5 ft11NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Olli JuoleviMANHATTAN SWEDES (MAN)D265/5/1998 7:10:45 AMNo200 Lbs6 ft5NoNoN/ANoNo2Pro & Farm750,000$35,714$40,000$1,905$75,000$3,571$No750,000$--------No--------
Oskar PetterssonMANHATTAN SWEDES (MAN)RW196/1/2004 3:19:24 AMYes180 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$33,333$40,000$1,905$70,000$3,333$No700,000$700,000$-------NoNo-------
Owen PowerMANHATTAN SWEDES (MAN)D2111/22/2002 6:14:46 AMYes221 Lbs6 ft8NoNoN/ANoNo2Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$--------No--------
Reilly WalshMANHATTAN SWEDES (MAN)D246/1/1999 8:18:59 AMYes214 Lbs6 ft1NoNoN/ANoNo1Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No------------------
Rodion AmirovMANHATTAN SWEDES (MAN)C/LW2210/2/2001 8:04:04 AMYes176 Lbs6 ft0NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Sam ColangeloMANHATTAN SWEDES (MAN)RW2212/26/2001 9:38:13 AMYes210 Lbs6 ft4NoNoN/ANoNo1Pro & Farm650,000$30,952$40,000$1,905$65,000$3,095$No------------------
Sam RinzelMANHATTAN SWEDES (MAN)D196/25/2004 6:18:43 AMYes181 Lbs6 ft4NoNoN/ANoNo3Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$800,000$-------NoNo-------
Samuel BolducMANHATTAN SWEDES (MAN)D226/1/2001 7:01:50 AMYes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm550,000$26,190$40,000$1,905$55,000$2,619$No550,000$550,000$-------NoNo-------
Spencer KnightMANHATTAN SWEDES (MAN)G234/19/2001 4:30:30 AMYes203 Lbs6 ft4NoNoN/ANoNo5Pro & Farm775,000$36,905$40,000$1,905$77,500$3,690$No775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Timothy LiljegrenMANHATTAN SWEDES (MAN)D254/30/1999 5:25:49 AMYes212 Lbs6 ft1NoNoN/ANoNo1Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No------------------
Ty Smilanic MANHATTAN SWEDES (MAN)C216/1/2002 7:59:26 AMYes188 Lbs6 ft3NoNoN/ANoNo1Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No------------------
Tyson HindsMANHATTAN SWEDES (MAN)D206/1/2003 7:45:40 AMYes207 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$23,810$40,000$1,905$50,000$2,381$No500,000$--------No--------
Vladi FirstovMANHATTAN SWEDES (MAN)LW226/19/2001 6:16:25 AMYes193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm600,000$28,571$40,000$1,905$60,000$2,857$No600,000$600,000$-------NoNo-------
William EklundMANHATTAN SWEDES (MAN)C/LW2110/12/2002 6:53:57 AMYes183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$38,095$40,000$1,905$80,000$3,810$No800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
4522.51200 Lbs6 ft22.09665,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaAlex TurcotteIsac Lundeström40122
2Juraj SlafkovskýJoe VelenoJonah Gadjovich30122
3Dylan JamesAleksi SaarelaFrank Nazar20122
4William EklundFedor SvechkovNoah Östlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerGustav Lindstrom40122
2Timothy LiljegrenSam Rinzel30122
3Alexander AlexeyevLogan Mailloux20122
4Owen PowerGustav Lindstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Filip ZadinaAlex TurcotteIsac Lundeström60122
2Juraj SlafkovskýJoe VelenoJonah Gadjovich40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Filip ZadinaAlex Turcotte60122
2Isac LundeströmJoe Veleno40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Filip Zadina60122Owen PowerGustav Lindstrom60122
2Alex Turcotte40122Timothy LiljegrenSam Rinzel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mavrik BourqueJuraj Slafkovský60122
2Isac LundeströmJoe Veleno40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Owen PowerGustav Lindstrom60122
2Timothy LiljegrenSam Rinzel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaAlex TurcotteIsac LundeströmOwen PowerGustav Lindstrom
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Filip ZadinaAlex TurcotteIsac LundeströmOwen PowerGustav Lindstrom
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mavrik Bourque, Fedor Svechkov, Jonah GadjovichFrank Nazar, Fedor SvechkovMavrik Bourque
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Alexeyev, Logan Mailloux, Timothy LiljegrenAlexander AlexeyevLogan Mailloux, Timothy Liljegren
Tirs de pénalité
Filip Zadina, Alex Turcotte, Isac Lundeström, Joe Veleno, Aleksi Saarela
Gardien
#1 : Spencer Knight, #2 : Magnus Hellberg
Lignes d’attaque personnalisées en prolongation
Filip Zadina, Alex Turcotte, Isac Lundeström, Joe Veleno, Aleksi Saarela, Juraj Slafkovský, Juraj Slafkovský, Noah Östlund, Frank Nazar, Fedor Svechkov, Mavrik Bourque
Lignes de défense personnalisées en prolongation
Owen Power, Gustav Lindstrom, Timothy Liljegren, Sam Rinzel, Alexander Alexeyev


Astuces sur les filtres (anglais seulement)
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
TotalDomicileVisiteur
# VS Équipe 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 pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1122032178166392012700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001219
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000714
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000055
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9333.33%10190.00%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
51596802640
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
6511158.56%469448.94%376656.06%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11067105428542


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
28COLORADO CUBS5MANHATTAN SWEDES3BLSommaire du match
416COLORADO CUBS7MANHATTAN SWEDES3BLSommaire du match
624MANHATTAN SWEDES3COLORADO CUBS4ALXSommaire du match
832MANHATTAN SWEDES2COLORADO CUBS1AWSommaire du match
1040COLORADO CUBS2MANHATTAN SWEDES1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 3000 - 100.00% 85,000$255,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,992,500$ 180,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 45 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 2 0$ 0$




MANHATTAN SWEDES Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

MANHATTAN SWEDES Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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 Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA