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Rams
GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 16 | GA: 7 | PP%: 50.00% | PK%: 90.00%
DG: Chris | Morale : 99 | Moyenne d’équipe : N/A
Prochains matchs #65 vs Gulls

Centre de jeu
Norsemen
3-0-1, 7pts
3
FINAL
4 Rams
3-0-0, 6pts
Team Stats
W1SéquenceW3
2-0-0Fiche domicile2-0-0
1-0-1Fiche domicile1-0-0
3-0-1Derniers 10 matchs3-0-0
3.50Buts par match 5.33
2.00Buts contre par match 2.33
40.00%Pourcentage en avantage numérique50.00%
100.00%Pourcentage en désavantage numérique90.00%
Rams
3-0-0, 6pts
7
FINAL
2 Admirals
0-3-0, 0pts
Team Stats
W3SéquenceL3
2-0-0Fiche domicile0-2-0
1-0-0Fiche domicile0-1-0
3-0-0Derniers 10 matchs0-3-0
5.33Buts par match 2.33
2.33Buts contre par match 6.33
50.00%Pourcentage en avantage numérique14.29%
90.00%Pourcentage en désavantage numérique61.54%
Rams
3-0-0, 6pts
Jour 9
Gulls
2-1-0, 4pts
Statistiques d’équipe
W3SéquenceW2
2-0-0Fiche domicile2-0-0
1-0-0Fiche visiteur0-1-0
3-0-010 derniers matchs2-1-0
5.33Buts par match 4.33
2.33Buts contre par match 4.33
50.00%Pourcentage en avantage numérique17.65%
90.00%Pourcentage en désavantage numérique62.50%
Penguins
1-2-0, 2pts
Jour 11
Rams
3-0-0, 6pts
Statistiques d’équipe
L2SéquenceW3
0-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-0-0
1-2-010 derniers matchs3-0-0
2.00Buts par match 5.33
3.00Buts contre par match 5.33
23.08%Pourcentage en avantage numérique50.00%
83.33%Pourcentage en désavantage numérique90.00%
Wolf Pack
1-2-0, 2pts
Jour 14
Rams
3-0-0, 6pts
Statistiques d’équipe
L2SéquenceW3
1-0-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-0-0
1-2-010 derniers matchs3-0-0
2.00Buts par match 5.33
3.67Buts contre par match 5.33
16.67%Pourcentage en avantage numérique50.00%
81.25%Pourcentage en désavantage numérique90.00%
Meneurs d'équipe
Buts
Aatu Raty
4
Passes
Aatu Raty
5
Points
Aatu Raty
9
Plus/Moins
Scott Sabourin
5
Victoires
Alexandar Georgiev
3
Pourcentage d’arrêts
Alexandar Georgiev
0.914

Statistiques d’équipe
Buts pour
16
5.33 GFG
Tirs pour
96
32.00 Avg
Pourcentage en avantage numérique
50.0%
4 GF
Début de zone offensive
36.4%
Buts contre
7
2.33 GAA
Tirs contre
81
27.00 Avg
Pourcentage en désavantage numérique
90.0%%
1 GA
Début de la zone défensive
32.7%
Informations de l'équipe

Directeur généralChris
EntraîneurTodd Reirden
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,601
Billets de saison800


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 65
Espoirs13


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
1Ben JonesX100.0075589261717592656165657065566309900251950,000$
2Scott SabourinXX100.0066507965797792626162617165695709900323650,000$
3Taylor MakarXXX100.0060606060607070606060606060455909900233650,000$
4Pavol RegendaXX100.0060606060607070606060606060475709900251840,000$
5Noah PhilpX99.0062509070767692687168686865525709900263900,000$
6Aatu RatyX100.00795091807377937386667270654655099002241,500,000$
7Eduard SaleXX100.00606060606070706060606060604055099011921,500,000$
8Sandis VilmanisXX100.0060606060607070606060606060405509901202825,000$
9Tomas MazuraX100.0060606060607070606060606060405509901241650,000$
10Carson BantleXX100.0060606060607070606060606060405509901221700,000$
11Matteo CostantiniX100.0060606060607070606060606060405509901221750,000$
12Noah Laba (R)X100.0060606060607070606060606060465509900212750,000$
13John KlingbergX100.0060606060607070606060606060657209800323650,000$
14Andrej SustrX100.0060606060607070606060606060667209900341650,000$
15Kyle CapobiancoX100.0062508473767890652568617065616609900273650,000$
16Marc-Andre GaudetX100.0060606060607070606060606060405509900211750,000$
17Simon NemecX100.00605090757281887025657070654055099002011,500,000$
18Jeremie BiakabutukaX100.0060606060607070606060606060405509900221800,000$
Rayé
1Lukas RousekXX100.0060606060607070606060606060515709600251771,750$
2Chase StillmanXX100.00606060606070706060606060604655096002121,575,000$
3Lukas SvejkovskyXXX100.0060606060607070606060606060485509600232787,500$
4Ryder RolstonXXX100.0060606060607070606060606060405509600231750,000$
5Petr HauserXX100.0060606060607070606060606060405509601212750,000$
6Joel Maatta (R)X100.0060606060607070606060606060485509600222650,000$
7Mason MillmanX100.00606060606070706060606060605357096002311,023,750$
8Keaton MiddletonX100.00735689639178876625656574655863096002621,550,000$
9Ryan MastX100.0060606060607070606060606060465509600212787,500$
10Sawyer MynioX100.0060606060607070606060606060405509601192975,000$
11Jakub DvorakX100.00606060606070706060606060604055096011921,250,000$
MOYENNE D’ÉQUIPE99.976258676264727562586161636148580980
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
1Alexandar Georgiev100.0065868473896771677365916068099002826,583,000$
2Dylan Wells100.006070706060606060606060616909900261840,000$
Rayé
1Vyacheslav Peksa100.006070706060606060606060405509800221650,000$
2Aku Koskenvuo (R)100.006070706060606060606060465509800212825,000$
3Topias Leinonen (R)100.0060707060606060606060604655098002031,250,000$
MOYENNE D’ÉQUIPE100.00617373636661626163616651600980
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden6972718474761USA563600,000$


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
1Aatu RatyRams (BOS)C345930033243816.67%17324.5230336000071050.00%3852012.4501000110
2Scott SabourinRams (BOS)LW/RW33475755381737.50%15518.58022150000600100.00%201002.5100100100
3Noah PhilpRams (BOS)C3055-2008412150%27424.8402226000270045.45%4411001.3401000000
4Eduard SaleRams (BOS)LW/RW31454206251320.00%24816.18022250000000100.00%400002.0600000002
5Ben JonesRams (BOS)C331430056114527.27%25317.9900000000160061.54%2610001.4811000110
6Simon NemecRams (BOS)D31342551663316.67%67725.711011400007100%013001.0400100000
7Taylor MakarRams (BOS)C/LW/RW31120005350520.00%04816.06011060000001100.00%310000.8300000010
8Carson BantleRams (BOS)LW/RW32022202464233.33%04615.5600000000000050.00%220000.8600000000
9John KlingbergRams (BOS)D301111210354010%55719.140001600006000%001000.3500110000
10Andrej SustrRams (BOS)D3011255131120%36020.270110600007000%004000.3300100000
11Kyle CapobiancoRams (BOS)D3011300421100%38127.170000600007000%026000.2501000000
12Jeremie BiakabutukaRams (BOS)D3011240041110%14715.790000000000000%002000.4200000000
13Sandis VilmanisRams (BOS)LW/RW3011220633040%04715.680000000000000%200000.4300000000
14Pavol RegendaRams (BOS)LW/RW3000000835010%24715.9100006000000040.00%50000000000000
15Marc-Andre GaudetRams (BOS)D300011210241000%14515.270000100000000%00000000002000
16Tomas MazuraRams (BOS)C3000-100200010%093.2700000000000050.00%20000000000000
17Matteo CostantiniRams (BOS)C3000-220033020%1248.1100000000000043.24%370000000000000
18Noah LabaRams (BOS)C3000000000000%051.690000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne54152843255335615896205015.63%3090516.76481210610003572150.91%1651320010.9514412332
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
1Alexandar GeorgievRams (BOS)33000.9142.271850078146001.000330000
Statistiques d’équipe totales ou en moyenne33000.9142.27185007814600330000


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 Pays 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 Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 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
Aatu RatyRams (BOS)C222002-11-14FINNo190 Lbs6 ft2NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Aku KoskenvuoRams (BOS)G212003-02-26FINYes201 Lbs6 ft2NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Alexandar GeorgievRams (BOS)G281996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm6,583,000$6,337,888$658,300$633,789$No6,583,000$--------6,583,000$--------No--------
Andrej Sustr (contrat à 1 volet)Rams (BOS)D341990-11-29CZENo217 Lbs6 ft7NoNoAssign ManuallyNoNo12025-11-10FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Ben JonesRams (BOS)C251999-02-26CANNo187 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm950,000$914,628$95,000$91,463$No---------------------------
Carson BantleRams (BOS)LW/RW222002-01-22USANo100 Lbs4 ft0NoNoProspectNoNo12024-08-31FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Chase StillmanRams (BOS)LW/RW212003-03-19CANNo185 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$1,516,356$157,500$151,636$No1,575,000$--------1,575,000$--------No--------
Dylan WellsRams (BOS)G261998-01-03CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm840,000$808,723$84,000$80,872$No---------------------------
Eduard SaleRams (BOS)LW/RW192005-03-10CZENo170 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Jakub DvorakRams (BOS)D192005-05-25CZENo183 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Jeremie BiakabutukaRams (BOS)D222002-05-03CANNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$770,213$80,000$77,021$No---------------------------
Joel MaattaRams (BOS)C222002-07-06FINYes205 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
John KlingbergRams (BOS)D321992-08-14SWENo190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Keaton MiddletonRams (BOS)D261998-02-10CANNo240 Lbs6 ft6NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,550,000$1,492,287$155,000$149,229$No1,550,000$--------1,550,000$--------No--------
Kyle CapobiancoRams (BOS)D271997-08-13CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Lukas RousekRams (BOS)LW/RW251999-04-20CZENo171 Lbs5 ft11NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Lukas SvejkovskyRams (BOS)C/LW/RW232001-11-23USANo170 Lbs5 ft9NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Marc-Andre GaudetRams (BOS)D212003-10-24CANNo191 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Mason MillmanRams (BOS)D232001-07-18CANNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Matteo CostantiniRams (BOS)C222002-08-16CANNo172 Lbs6 ft0NoNoProspectNoNo12024-08-31FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Noah LabaRams (BOS)C212003-08-04USAYes192 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Noah PhilpRams (BOS)C261998-08-01CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-10-20FalseFalsePro & Farm900,000$866,489$90,000$86,649$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Pavol RegendaRams (BOS)LW/RW251999-12-07SVKNo211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm840,000$808,723$84,000$80,872$No---------------------------
Petr HauserRams (BOS)LW/RW212003-09-19CZENo207 Lbs6 ft4NoNoProspectNoNo22024-08-31FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Ryan MastRams (BOS)D212003-01-14USANo212 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Ryder RolstonRams (BOS)C/LW/RW232001-10-31USANo188 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Sandis VilmanisRams (BOS)LW/RW202004-01-23LATNo192 Lbs6 ft2NoNoTrade2025-09-01NoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Sawyer MynioRams (BOS)D192005-04-30CANNo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Scott SabourinRams (BOS)LW/RW321992-07-30CANNo207 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Simon NemecRams (BOS)D202004-02-15SVKNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Taylor MakarRams (BOS)C/LW/RW232001-03-13CANNo190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Tomas MazuraRams (BOS)C242000-09-23CZENo205 Lbs6 ft4NoNoProspectNoNo12024-08-31FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Topias LeinonenRams (BOS)G202004-01-25FINYes234 Lbs6 ft3NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Vyacheslav PeksaRams (BOS)G222002-08-27RUSNo191 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3423.44191 Lbs6 ft21.821,078,926$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott SabourinAatu RatyEduard Sale28122
2Pavol RegendaNoah PhilpTaylor Makar28122
3Sandis VilmanisBen JonesCarson Bantle25122
4Aatu RatyMatteo CostantiniNoah Philp19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoSimon Nemec28122
2Andrej SustrJohn Klingberg28122
3Marc-Andre GaudetJeremie Biakabutuka25122
4Kyle CapobiancoSimon Nemec19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Scott SabourinAatu RatyEduard Sale50122
2Pavol RegendaNoah PhilpTaylor Makar50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Aatu RatyNoah Philp50122
2Ben JonesScott Sabourin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Aatu Raty50122Kyle CapobiancoSimon Nemec50122
2Noah Philp50122Andrej SustrJohn Klingberg50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Aatu RatyNoah Philp50122
2Ben JonesScott Sabourin50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott SabourinAatu RatyEduard SaleKyle CapobiancoSimon Nemec
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Scott SabourinAatu RatyEduard SaleKyle CapobiancoSimon Nemec
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Mazura, Noah Laba, Matteo CostantiniTomas Mazura, Noah LabaMatteo Costantini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc-Andre Gaudet, Jeremie Biakabutuka, Andrej SustrMarc-Andre GaudetJeremie Biakabutuka, Andrej Sustr
Tirs de pénalité
Aatu Raty, Noah Philp, Ben Jones, Scott Sabourin, Matteo Costantini
Gardien
#1 : Alexandar Georgiev, #2 : Dylan Wells


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
1Admirals11000000725000000000001100000072521.00071421003841272939274331223244250.00%40100.00%0246040.00%335461.11%275152.94%592963306130
2Norsemen10000010431100000104310000000000021.0004480038413629392742992424100.00%30100.00%0246040.00%335461.11%275152.94%592963306130
3Titans11000000523110000005230000000000021.000510150038413329392741996133266.67%3166.67%0246040.00%335461.11%275152.94%592963306130
Total320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130
_Since Last GM Reset320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130
_Vs Conference320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
36W3162844968130536100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3200010167
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210001095
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000072
Derniers 10 matchs
WLOTWOTL SOWSOL
300000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8450.00%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
29392743841
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
246040.00%335461.11%275152.94%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
592963306130


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
316Titans2Rams5WSommaire du match
534Norsemen3Rams4WXXSommaire du match
639Rams7Admirals2WSommaire du match
965Rams-Gulls-
1180Penguins-Rams-
14102Wolf Pack-Rams-
17121Rams-Whalers-
18134Blossom Bytes-Rams-
21156Rams-Titans-
23167Titans-Rams-
27194Gulls-Rams-
29209Rams-Whalers-
31221Rams-Wolves-
33230Rams-Gulls-
34239Bears-Rams-
37261Norsemen-Rams-
40276Rams-Americans-
42296Whalers-Rams-
44308Rams-Reign-
47329White Wolves-Rams-
49340Rams-Bears-
51357Rams-Gulls-
52366Wolves-Rams-
55389Wolf Pack-Rams-
57405Rams-Titans-
60423Roadrunners-Rams-
62443Rams-Crunch-
64453Bears-Rams-
66470Rams-Grisards-
69486Redhawks-Rams-
73510Rams-Norsemen-
74523Wolf Pack-Rams-
78546Rams-Admirals-
79555Grisards-Rams-
83581Rocket-Rams-
86603Rams-Grisards-
88614Mountaineers-Rams-
91641Phantoms-Rams-
92653Rams-Phantoms-
95674Americans-Rams-
97685Rams-Americans-
99701Rams-Penguins-
100711Blood Miners-Rams-
103728Rams-Penguins-
105742Moose-Rams-
107758Rams-Moose-
109773Rams-Eagles-
110777Moose-Rams-
113799Rams-Bears-
114809Senators-Rams-
117827Rams-Senators-
119841Whalers-Rams-
121855Rams-Silver Knights-
123875Norsemen-Rams-
125887Rams-Senators-
127904Rams-Whalers-
128911Bears-Rams-
131937Blossom Bytes-Rams-
134958Rams-Gorillas-
136969Blossom Bytes-Rams-
139992Rams-White Wolves-
1401001Saints-Rams-
1431028Admirals-Rams-
1451034Rams-Admirals-
1471053Rams-Phantoms-
1481064Penguins-Rams-
1531094Octopus-Rams-
1551110Rams-Saints-
1571126Penguins-Rams-
1581133Rams-Griffins-
1611158Titans-Rams-
1661188Titans-Rams-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681203Rams-Wolf Pack-
1711220Admirals-Rams-
1721229Rams-Bulldogs-
1751243Rams-Wolf Pack-
1771253Bills-Rams-
1781261Rams-Blossom Bytes-
1811282Gulls-Rams-
1831288Rams-Wolves-
1841293Rams-Bulldogs-
1861306Rams-Blossom Bytes-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3414
Assistance4,78410,417
Assistance PCT95.68%94.70%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 7601 - 95.01% 185,097$370,193$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
156,506$ 3,603,350$ 3,603,350$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
22,358$ 156,506$ 33 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
7,218,764$ 181 22,358$ 4,046,798$




Rams 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

Rams 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

Rams 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

Rams 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

Rams 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