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Rams
GP: 1 | W: 0 | L: 1 | OTL: 0 | P: 0
GF: 3 | GA: 4 | PP%: 20.00% | PK%: 100.00%
DG: Chris | Morale : 98 | Moyenne d’équipe : N/A
Prochains matchs #24 vs Moose

Centre de jeu
Pens
1-0-0, 2pts
4
FINAL
3 Rams
0-1-0, 0pts
Team Stats
W1SéquenceL1
0-0-0Fiche domicile0-1-0
1-0-0Fiche domicile0-0-0
1-0-0Derniers 10 matchs0-1-0
4.00Buts par match 3.00
3.00Buts contre par match 4.00
0.00%Pourcentage en avantage numérique20.00%
80.00%Pourcentage en désavantage numérique100.00%
Rams
0-1-0, 0pts
Jour 3
Moose
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur1-0-0
0-1-010 derniers matchs1-0-0
3.00Buts par match 6.00
4.00Buts contre par match 6.00
20.00%Pourcentage en avantage numérique30.00%
100.00%Pourcentage en désavantage numérique50.00%
Rams
0-1-0, 0pts
Jour 4
Gulls
0-1-0, 0pts
Statistiques d’équipe
L1SéquenceL1
0-1-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
0-1-010 derniers matchs0-1-0
3.00Buts par match 4.00
4.00Buts contre par match 4.00
20.00%Pourcentage en avantage numérique25.00%
100.00%Pourcentage en désavantage numérique66.67%
Bears
1-0-0, 2pts
Jour 7
Rams
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-1-0
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-1-0
5.00Buts par match 3.00
4.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique20.00%
75.00%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Noah Philp
2
Passes
Sandis Vilmanis
2
Points
Noah Philp
2
Plus/Moins
Oliver Bjorkstrand
1
Victoires
Michael DiPietro
0
Pourcentage d’arrêts
Michael DiPietro
0.897

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
48
48.00 Avg
Pourcentage en avantage numérique
20.0%
1 GF
Début de zone offensive
49.2%
Buts contre
4
4.00 GAA
Tirs contre
39
39.00 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
27.0%
Informations de l'équipe

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


Informations de l’aréna

Capacité8,500
Assistance8,367
Billets de saison850


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 65
Espoirs21


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
1Oliver BjorkstrandXX100.00705093846780947561717068656368093003013,500,000$
2Scott SabourinXX100.0079705772787585706168657065715909800332650,000$
3Ozzy WiesblattXXX100.00805686666977826961666576685359098002321,250,000$
4Juuso ParssinenXXX100.00725090687975807064656869655260093002421,150,000$
5Taylor MakarXXX100.0063508568737590666166676865476109800242650,000$
6Noah PhilpX100.0074509372767684707965687365545909800272900,000$
7Lukas SvejkovskyXXX100.0060606060607070606060606060545909800241787,500$
8Ryder RolstonXXX100.0060606060607070606060606060465909800242800,000$
9Eduard SaleXX100.00606060606070706060606060604659098012011,500,000$
10Sandis VilmanisXX100.0066509071737791706570707065425709801211825,000$
11Matteo CostantiniX100.0060606060607070606060606060465909801232800,000$
12Petr HauserXX100.0060606060607070606060606060465909801221750,000$
13Tomas CibulkaX100.0060606060607070606060606060546309800212800,000$
14Torey KrugX100.00606060606070706060606060607681093003421,500,000$
15Ryan GravesX100.0070509163858281662565677465647009800302850,000$
16Kyle CapobiancoX100.0063509375747981712565696865636809800282650,000$
17Keaton MiddletonX100.00665086629177926225636271656065098002711,550,000$
18Jakub DvorakX100.00606060606070706060606060604659098012011,250,000$
Rayé
1Chase StillmanXX100.00606060606070706060606060605259098002211,575,000$
2Carson BantleXX100.0060606060607070606060606060465909801232800,000$
3Joel MaattaX100.0060606060607070606060606060545909800231650,000$
4Garret BrownX100.00606060606070706060606060605262098002121,000,000$
5Ryan MastX100.0060606060607070606060606060525909800221787,500$
6Marc-Andre GaudetX100.0060606060607070606060606060465909800222800,000$
7Jeremie BiakabutukaX100.0060606060607070606060606060465909800232840,000$
8Sawyer MynioX100.0060606060607070606060606060465909801201975,000$
MOYENNE D’ÉQUIPE100.006457706466737663576263646253620970
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 Georgiev100.0060707060606060606060606974098002916,583,000$
2Michael DiPietro99.0060707060606060606060606872093002631,500,000$
Rayé
1Aku Koskenvuo100.006070706060606060606060556109800221825,000$
2Topias Leinonen100.0060707060606060606060605561098002121,250,000$
MOYENNE D’ÉQUIPE99.75607070606060606060606062670970
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Reirden7577698073761USA572600,000$


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
1Noah PhilpRams (BOS)C12020000150240.00%01919.5800013000000057.14%2100002.0400000000
2Sandis VilmanisRams (BOS)LW/RW1022100012100%01919.070000300000000%100002.1000000000
3Scott SabourinRams (BOS)LW/RW1101-2204073014.29%01616.55101230000000100.00%100001.2100000000
4Torey KrugRams (BOS)D1011000111000%42020.030000300000000%002001.0000000000
5Juuso ParssinenRams (BOS)C/LW/RW1011-255121010%01414.8201103000000043.75%1600001.3500001000
6Kyle CapobiancoRams (BOS)D1011-200025110%02525.980000400001000%011000.7700000000
7Tomas CibulkaRams (BOS)D1000000010010%01313.980000000000000%01000000000000
8Oliver BjorkstrandRams (BOS)LW/RW1000100329120%01919.42000130000000100.00%12000000000000
9Ryan GravesRams (BOS)D1000-200112220%02525.980000400001000%00000000000000
10Ozzy WiesblattRams (BOS)C/LW/RW1000-200002120%01717.170000300000000%02000000000000
11Taylor MakarRams (BOS)C/LW/RW1000000213210%01414.3700000000000061.11%180000000000000
12Keaton MiddletonRams (BOS)D1000000111000%12020.030000300000000%01000000000000
13Lukas SvejkovskyRams (BOS)C/LW/RW1000-100003320%11414.100000000000000%01100000000000
14Ryder RolstonRams (BOS)C/LW/RW1000-100121100%01212.670000000000000%10100000000000
15Jakub DvorakRams (BOS)D1000000101000%21313.980000000000000%01200000000000
16Eduard SaleRams (BOS)LW/RW1000000103030%099.670000000000000%00000000000000
17Matteo CostantiniRams (BOS)C1000000211120%01010.9200000000000025.00%41000000000000
18Petr HauserRams (BOS)LW/RW1000000001100%099.670000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne18358-107518164817196.25%829716.55112440000070052.38%63107000.5400001000
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
1Michael DiPietroRams (BOS)10100.8974.00600043924000010000
Statistiques d’équipe totales ou en moyenne10100.8974.0060004392400010000


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
Aku KoskenvuoRams (BOS)G222003-02-26FINNo201 Lbs6 ft2NoNoProspectNoNo12025-08-20FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Alexandar GeorgievRams (BOS)G291996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm6,583,000$6,507,333$658,300$650,733$No---------------------------
Carson BantleRams (BOS)LW/RW232002-01-22USANo100 Lbs4 ft0NoNoProspectNoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Chase StillmanRams (BOS)LW/RW222003-03-19CANNo185 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,575,000$1,556,897$157,500$155,690$No---------------------------
Eduard SaleRams (BOS)LW/RW202005-03-10CZENo170 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No---------------------------
Garret BrownRams (BOS)D212004-04-04USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo22026-07-16FalseFalsePro & Farm1,000,000$988,506$100,000$98,851$No1,000,000$--------1,000,000$--------No--------
Jakub DvorakRams (BOS)D202005-05-25CZENo183 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No---------------------------
Jeremie BiakabutukaRams (BOS)D232002-05-03CANNo203 Lbs6 ft4NoNoN/ANoNo22026-08-02FalseFalsePro & Farm840,000$830,345$84,000$83,034$No840,000$--------840,000$--------No--------
Joel MaattaRams (BOS)C232002-07-06FINNo205 Lbs6 ft0NoNoProspectNoNo12025-08-20FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Juuso ParssinenRams (BOS)C/LW/RW242001-02-01FINNo207 Lbs6 ft3NoNoTrade2026-03-06NoNo22026-08-02FalseFalsePro & Farm1,150,000$1,136,782$115,000$113,678$No1,150,000$--------1,150,000$--------No--------
Keaton MiddletonRams (BOS)D271998-02-10CANNo240 Lbs6 ft6NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,550,000$1,532,184$155,000$153,218$No---------------------------
Kyle CapobiancoRams (BOS)D281997-08-13CANNo194 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-20FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Lukas SvejkovskyRams (BOS)C/LW/RW242001-11-23USANo170 Lbs5 ft9NoNoN/ANoNo12025-09-08FalseFalsePro & Farm787,500$778,448$78,750$77,845$No---------------------------
Marc-Andre GaudetRams (BOS)D222003-10-24CANNo191 Lbs6 ft10NoNoN/ANoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Matteo CostantiniRams (BOS)C232002-08-16CANNo172 Lbs6 ft0NoNoProspectNoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Michael DiPietroRams (BOS)G261999-06-09CANNo201 Lbs6 ft0NoNoAssign ManuallyNoNo32026-09-23FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Noah PhilpRams (BOS)C271998-08-01CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo22025-10-20FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$--------900,000$--------No--------
Oliver BjorkstrandRams (BOS)LW/RW301995-04-10DENNo175 Lbs6 ft0NoNoFree AgentNoNo12024-12-27FalseFalsePro & Farm3,500,000$3,459,770$350,000$345,977$No---------------------------
Ozzy WiesblattRams (BOS)C/LW/RW232002-03-09CANNo183 Lbs5 ft10NoNoTrade2026-03-06NoNo22026-08-02FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Petr HauserRams (BOS)LW/RW222003-09-19CZENo207 Lbs6 ft4NoNoProspectNoNo12024-08-31FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Ryan GravesRams (BOS)D301995-05-21CANNo225 Lbs6 ft5NoNoAssign ManuallyNoNo22025-11-10FalseFalsePro & Farm850,000$840,230$85,000$84,023$No850,000$--------850,000$--------No--------
Ryan MastRams (BOS)D222003-01-14USANo212 Lbs6 ft4NoNoN/ANoNo12025-09-08FalseFalsePro & Farm787,500$778,448$78,750$77,845$No---------------------------
Ryder RolstonRams (BOS)C/LW/RW242001-10-31USANo188 Lbs7 ft2NoNoN/ANoNo22026-08-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Sandis VilmanisRams (BOS)LW/RW212004-01-23LVANo192 Lbs6 ft1NoNoTrade2025-09-01NoNo1FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Sawyer MynioRams (BOS)D202005-04-30CANNo181 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Scott SabourinRams (BOS)LW/RW331992-07-30CANNo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-20FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Taylor MakarRams (BOS)C/LW/RW242001-03-13CANNo190 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-20FalseFalsePro & Farm650,000$642,529$65,000$64,253$No650,000$--------650,000$--------No--------
Tomas CibulkaRams (BOS)D212004-04-02CZENo170 Lbs5 ft10NoNoAssign ManuallyNoNo22026-04-02FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Topias LeinonenRams (BOS)G212004-01-25FINNo234 Lbs6 ft3NoNoProspectNoNo22025-08-20FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Torey KrugRams (BOS)D341991-04-12USANo194 Lbs5 ft9NoNoAssign ManuallyNoNo22025-10-28FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$--------1,500,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3024.30191 Lbs6 ft11.601,258,267$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandNoah PhilpSandis Vilmanis28122
2Scott SabourinJuuso ParssinenOzzy Wiesblatt28122
3Lukas SvejkovskyTaylor MakarRyder Rolston25122
4Eduard SaleMatteo CostantiniPetr Hauser19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan GravesKyle Capobianco28122
2Keaton MiddletonTorey Krug28122
3Tomas CibulkaJakub Dvorak25122
4Ryan GravesKyle Capobianco19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandNoah PhilpSandis Vilmanis50122
2Scott SabourinJuuso ParssinenOzzy Wiesblatt50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan GravesKyle Capobianco50122
2Keaton MiddletonTorey Krug50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oliver BjorkstrandSandis Vilmanis50122
2Scott SabourinNoah Philp50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan GravesKyle Capobianco50122
2Keaton MiddletonTorey Krug50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oliver Bjorkstrand50122Ryan GravesKyle Capobianco50122
2Sandis Vilmanis50122Keaton MiddletonTorey Krug50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oliver BjorkstrandSandis Vilmanis50122
2Scott SabourinNoah Philp50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan GravesKyle Capobianco50122
2Keaton MiddletonTorey Krug50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver BjorkstrandNoah PhilpSandis VilmanisRyan GravesKyle Capobianco
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver BjorkstrandNoah PhilpSandis VilmanisRyan GravesKyle Capobianco
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Taylor Makar, Matteo Costantini, Lukas SvejkovskyTaylor Makar, Matteo CostantiniLukas Svejkovsky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tomas Cibulka, Jakub Dvorak, Keaton MiddletonTomas CibulkaJakub Dvorak, Keaton Middleton
Tirs de pénalité
Oliver Bjorkstrand, Sandis Vilmanis, Scott Sabourin, Noah Philp, Juuso Parssinen
Gardien
#1 : Michael DiPietro, #2 : Alexandar Georgiev


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
1Pens1010000034-11010000034-10000000000000.000358000210487231803987185120.00%10100.00%0193161.29%81747.06%61540.00%2111198189
Total1010000034-11010000034-10000000000000.000358000210487231803987185120.00%10100.00%0193161.29%81747.06%61540.00%2111198189
_Since Last GM Reset1010000034-11010000034-10000000000000.000358000210487231803987185120.00%10100.00%0193161.29%81747.06%61540.00%2111198189
_Vs Conference1010000034-11010000034-10000000000000.000358000210487231803987185120.00%10100.00%0193161.29%81747.06%61540.00%2111198189

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
10L13584839871800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000034
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
010000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
5120.00%10100.00%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
7231800210
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
193161.29%81747.06%61540.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2111198189


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
13Pens4Rams3LSommaire du match
324Rams-Moose-
428Rams-Gulls-
751Bears-Rams-
862Rams-Pens-
1185Blossom Bytes-Rams-
13102Titans-Rams-
14108Rams-Admirals-
16126Rams-Wolf Pack-
18139Rams-Gulls-
20154Americans-Rams-
23178Rams-Norsemen-
25188Gorillas-Rams-
27203Rams-Gulls-
29215Rams-Bears-
30222Titans-Rams-
33242Rams-Sens-
35254Americans-Rams-
38279Rams-Redhawks-
39286Phantoms-Rams-
42311Rams-Americans-
43318White Wolves-Rams-
46344Norsemen-Rams-
48354Rams-Octopus-
51377Moose-Rams-
55400Rams-Norsemen-
56411Saints-Rams-
59432Grisards-Rams-
62455Rams-Wolf Pack-
63466Pens-Rams-
67491Reign-Rams-
69512Rams-Sens-
71524Blood Miners-Rams-
74549Whalers-Rams-
76559Rams-Phantoms-
78580Rams-Grisards-
79589Rocket-Rams-
82606Rams-Wolves-
85623Titans-Rams-
87638Rams-Silver Knights-
89651Wolf Pack-Rams-
91676Rams-Grisards-
92683Rams-Bears-
94694Phantoms-Rams-
97710Rams-Roadrunners-
98724Blossom Bytes-Rams-
102751Blossom Bytes-Rams-
104769Rams-Admirals-
106781Griffins-Rams-
108803Rams-Wolf Pack-
110812Rams-Gulls-
111820Bills-Rams-
114845Gulls-Rams-
116857Rams-Crunch-
119875Mountaineers-Rams-
121889Rams-Wolves-
124910Rams-Eagles-
125917Bulldogs-Rams-
128939Pens-Rams-
130956Rams-Pens-
131971Sens-Rams-
134987Rams-Pens-
1361004Gorillas-Rams-
1391030Rams-Blossom Bytes-
1401037Wolves-Rams-
1421051Rams-Whalers-
1451068Wolf Pack-Rams-
1481089Rams-Admirals-
1491102Gulls-Rams-
1521119Rams-Whalers-
1541132Admirals-Rams-
1551142Rams-Titans-
1581158Rams-Blossom Bytes-
1591167Bears-Rams-
1611175Rams-Moose-
1661208Admirals-Rams-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691224Bears-Rams-
1721237Rams-Titans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité35005000
Prix des billets3515
Assistance3,5004,867
Assistance PCT100.00%97.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 8367 - 98.44% 234,606$234,606$8500100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
45,889$ 3,774,800$ 3,774,800$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
25,143$ 45,889$ 30 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
8,915,028$ 172 25,143$ 4,324,596$




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