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Rams
GP: 7 | W: 3 | L: 4
GF: 17 | GA: 23 | PP%: 22.22% | PK%: 81.08%
DG: Chris | Morale : 55 | Moyenne d’équipe : N/A
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Centre de jeu
Rams
3-4-0, 6pts
3
FINAL
2 Moose
11-8-0, 22pts
Team Stats
L1SéquenceL2
2-2-0Fiche domicile4-4-0
1-2-0Fiche domicile7-4-0
3-4-0Derniers 10 matchs5-5-0
2.43Buts par match 2.53
3.29Buts contre par match 2.11
22.22%Pourcentage en avantage numérique22.37%
81.08%Pourcentage en désavantage numérique73.91%
Moose
11-8-0, 22pts
8
FINAL
6 Rams
3-4-0, 6pts
Team Stats
L2SéquenceL1
4-4-0Fiche domicile2-2-0
7-4-0Fiche domicile1-2-0
5-5-0Derniers 10 matchs3-4-0
2.53Buts par match 2.43
2.11Buts contre par match 3.29
22.37%Pourcentage en avantage numérique22.22%
73.91%Pourcentage en désavantage numérique81.08%
Meneurs d'équipe
Buts
Sam Gagner
4
Passes
Sam Gagner
5
Points
Sam Gagner
9
Plus/Moins
Pierre-Edouard Bellemare
3
Victoires
Alexandar Georgiev
3
Pourcentage d’arrêts
Alexandar Georgiev
0.894

Statistiques d’équipe
Buts pour
17
2.43 GFG
Tirs pour
180
25.71 Avg
Pourcentage en avantage numérique
22.2%
2 GF
Début de zone offensive
29.6%
Buts contre
23
3.29 GAA
Tirs contre
218
31.14 Avg
Pourcentage en désavantage numérique
81.1%%
7 GA
Début de la zone défensive
46.8%
Informations de l'équipe

Directeur généralChris
EntraîneurMartin Gelinas
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance7,970
Billets de saison800


Informations de la formation

Équipe Pro30
Équipe Mineure20
Limite contact 50 / 65
Espoirs12


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
1Philip TomasinoX100.00635089866879827561727067655462058002332,750,000$
2Ben JonesX100.0055555555555555555555555555566308000251716,625$
3Pierre-Edouard BellemareXX100.0065509471747682707765687965766308600391800,000$
4Sam GagnerX100.0066509280757783746569716765767507800351900,000$
5Radim ZohornaXX100.00725090738476897162656868665757087002811,590,000$
6Lukas RousekXX100.0060509272657791696171676765515708200251735,000$
7Pavol RegendaXX100.0068508570807888646464657365475708600252840,000$
8Lukas SvejkovskyXXX100.0055555555555555555555555555485504500231750,000$
9Eduard Sale (R)XX100.00555555555555555555555555554055072011931,500,000$
10Tomas Mazura (R)X100.0055555555555555555555555555405507501242650,000$
11Carson Bantle (R)XX100.0055555555555555555555555555405507701222700,000$
12Matteo Costantini (R)X100.0055555555555555555555555555405507801222750,000$
13Mason MillmanX100.00555555555555555555555555555357078002321,023,750$
14Keaton MiddletonX100.0055555555555555555555555555586308600261854,438$
15Ryan MastX100.0055555555555555555555555555465507500211750,000$
16Marc-Andre GaudetX100.0055555555555555555555555555405508400212750,000$
17Thimo NicklX100.0055555555555555555555555555405508100231825,000$
18Jeremie BiakabutukaX100.0055555555555555555555555555405504500222800,000$
Rayé
1Aatu RatyX100.00555555555555555555555555554655079002211,500,000$
2Chase StillmanXX100.00555555555555555555555555554655076002111,500,000$
3Ryder RolstonXXX100.0055555555555555555555555555405505200232750,000$
4Marco KasperX100.00555555555555555555555555554055046002021,500,000$
5Petr Hauser (R)XX100.0055555555555555555555555555405503901213750,000$
6Michael KrutilX100.0055555555555555555555555555425504800221750,000$
7Sawyer Mynio (R)X100.0055555555555555555555555555405503801193975,000$
8Jakub Dvorak (R)X100.00555555555555555555555555554055042011931,250,000$
MOYENNE D’ÉQUIPE100.005754636059606259575858595748570680
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 Georgiev100.0070909073897677737973906068085002836,583,000$
2Dylan Wells100.005555555555555555555555616908600262840,000$
Rayé
1Daniil Chechelev100.005555555555555555555555465506600231825,000$
2Vyacheslav Peksa100.005555555555555555555555405505200222650,000$
MOYENNE D’ÉQUIPE100.00596464606460616061606452620720
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Martin Gelinas6060606064691CAN551600,000$


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 GagnerRams (BOS)C745910011163281012.50%616924.20101361122250053.70%10853001.0600000210
2Lukas RousekRams (BOS)LW/RW71561008815276.67%111716.7601106000071023.08%1321001.0201000001
3Philip TomasinoRams (BOS)C7325-300111323112213.04%915822.66101161013211054.32%8181000.6300000101
4Pierre-Edouard BellemareRams (BOS)LW/RW7235320513124816.67%414320.50000060111230058.33%3631000.7000000010
5Radim ZohornaRams (BOS)LW/RW71342551011203105.00%414120.20011060001250040.00%2535000.5700100000
6Pavol RegendaRams (BOS)LW/RW740400083152526.67%111015.7200016000011023.81%2110010.7300000010
7Ryan MastRams (BOS)D702203515696060%415822.6100016011019000%020000.2500102000
8Lukas SvejkovskyRams (BOS)C/LW/RW7112-3406611739.09%07610.930000000000000%231000.5200000000
9Carson BantleRams (BOS)LW/RW3022055032150%04214.23000000000000100.00%210000.9400100000
10Ben JonesRams (BOS)C7101-211513811079.09%310715.4000000000020043.18%4400000.1900001000
11Keaton MiddletonRams (BOS)D7011-12115757340%1117525.1200006000024000%012000.1100201000
12Thimo NicklRams (BOS)D701131610471020%613619.5600005000021000%011000.1500011001
13Tomas MazuraRams (BOS)C7011-380644310%0679.6800000000000043.08%6502000.3000000000
14Mason MillmanRams (BOS)D7000-3255864350%212017.160000100009000%00300000010000
15Aatu RatyRams (BOS)C4000120200010%04010.15000000000000100.00%10000000000000
16Chase StillmanRams (BOS)LW/RW4000-355224150%0348.71000000000000100.00%20100001010000
17Marc-Andre GaudetRams (BOS)D700024010108320%1115422.1200006000027000%02100000000000
18Jeremie BiakabutukaRams (BOS)D3000-255022100%24314.460000000000000%00100000001000
19Jakub DvorakRams (BOS)D4000-120633200%36015.120000000005000%00100000000000
20Eduard SaleRams (BOS)LW/RW3000000000000%000.080000000000000%00000000000000
21Matteo CostantiniRams (BOS)C7000100200000%0182.580000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne126172643-715070125129180541039.44%67207816.5022466523572153048.01%4023224010.4102536333
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)73400.8943.23427002321892100070000
Statistiques d’équipe totales ou en moyenne73400.8943.2342700232189210070000


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/ANoNo1FalseFalsePro & Farm1,500,000$150,000$0$No---------------------------
Alexandar GeorgievRams (BOS)G281996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm6,583,000$658,300$0$No6,583,000$6,583,000$-------6,583,000$6,583,000$-------NoNo-------
Ben JonesRams (BOS)C251999-02-26CANNo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm716,625$71,662$0$No---------------------------
Carson BantleRams (BOS)LW/RW222002-01-22USAYes100 Lbs4 ft0NoNoProspectNoNo22024-08-31FalseFalsePro & Farm700,000$70,000$0$No700,000$--------700,000$--------No--------
Chase StillmanRams (BOS)LW/RW212003-03-19CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$0$No---------------------------
Daniil ChechelevRams (BOS)G232001-02-23RUSNo187 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm825,000$82,500$0$No---------------------------
Dylan WellsRams (BOS)G261998-01-03CANNo183 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm840,000$84,000$0$No840,000$--------840,000$--------No--------
Eduard SaleRams (BOS)LW/RW192005-03-10CZEYes170 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm1,500,000$150,000$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Jakub DvorakRams (BOS)D192005-05-25CZEYes183 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm1,250,000$125,000$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Jeremie BiakabutukaRams (BOS)D222002-05-03CANNo203 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$0$No800,000$--------800,000$--------No--------
Keaton MiddletonRams (BOS)D261998-02-10CANNo234 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm854,438$85,444$0$No---------------------------
Lukas RousekRams (BOS)LW/RW251999-04-20CZENo171 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm735,000$73,500$0$No---------------------------
Lukas SvejkovskyRams (BOS)C/LW/RW232001-11-23USANo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$0$No---------------------------
Marc-Andre GaudetRams (BOS)D212003-10-24CANNo191 Lbs6 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$0$No750,000$--------750,000$--------No--------
Marco KasperRams (BOS)C202004-04-08AUTNo186 Lbs7 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$0$No1,500,000$--------1,500,000$--------No--------
Mason MillmanRams (BOS)D232001-07-18CANNo176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,023,750$102,375$0$No1,023,750$--------1,023,750$--------No--------
Matteo CostantiniRams (BOS)C222002-08-16CANYes172 Lbs6 ft0NoNoProspectNoNo22024-08-31FalseFalsePro & Farm750,000$75,000$0$No750,000$--------750,000$--------No--------
Michael KrutilRams (BOS)D222002-06-03CZENo203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$0$No---------------------------
Pavol RegendaRams (BOS)LW/RW251999-12-07SVKNo211 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm840,000$84,000$0$No840,000$--------840,000$--------No--------
Petr HauserRams (BOS)LW/RW212003-09-19CZEYes207 Lbs6 ft4NoNoProspectNoNo32024-08-31FalseFalsePro & Farm750,000$75,000$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Philip TomasinoRams (BOS)C232001-07-28CANNo179 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm2,750,000$275,000$0$No2,750,000$2,750,000$-------2,750,000$2,750,000$-------NoNo-------
Pierre-Edouard BellemareRams (BOS)LW/RW391985-03-06FRANo198 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$80,000$0$No---------------------------
Radim ZohornaRams (BOS)LW/RW281996-04-29CZENo220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm1,590,000$159,000$0$No---------------------------
Ryan MastRams (BOS)D212003-01-14USANo212 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$75,000$0$No---------------------------
Ryder RolstonRams (BOS)C/LW/RW232001-10-31USANo188 Lbs7 ft2NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$0$No750,000$--------750,000$--------No--------
Sam GagnerRams (BOS)C351989-08-10CANNo200 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$90,000$0$No---------------------------
Sawyer MynioRams (BOS)D192005-04-30CANYes181 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm975,000$97,500$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Thimo NicklRams (BOS)D232001-12-04AUTNo190 Lbs7 ft5NoNoN/ANoNo1FalseFalsePro & Farm825,000$82,500$0$No---------------------------
Tomas MazuraRams (BOS)C242000-09-23CZEYes205 Lbs6 ft4NoNoProspectNoNo22024-08-31FalseFalsePro & Farm650,000$65,000$0$No650,000$--------650,000$--------No--------
Vyacheslav PeksaRams (BOS)G222002-08-27RUSNo191 Lbs6 ft9NoNoN/ANoNo2FalseFalsePro & Farm650,000$65,000$0$No650,000$--------650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3023.73188 Lbs6 ft31.771,185,260$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre-Edouard BellemareSam GagnerRadim Zohorna28122
2Lukas RousekPhilip TomasinoPavol Regenda28122
3Carson BantleBen JonesLukas Svejkovsky25122
4Sam GagnerTomas MazuraPhilip Tomasino19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonRyan Mast28122
2Marc-Andre GaudetThimo Nickl28122
3Mason MillmanJeremie Biakabutuka25122
4Keaton MiddletonRyan Mast19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre-Edouard BellemareSam GagnerRadim Zohorna50122
2Lukas RousekPhilip TomasinoPavol Regenda50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonRyan Mast50122
2Marc-Andre GaudetThimo Nickl50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam GagnerPhilip Tomasino50122
2Pierre-Edouard BellemareRadim Zohorna50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonRyan Mast50122
2Marc-Andre GaudetThimo Nickl50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Gagner50122Keaton MiddletonRyan Mast50122
2Philip Tomasino50122Marc-Andre GaudetThimo Nickl50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam GagnerPhilip Tomasino50122
2Pierre-Edouard BellemareRadim Zohorna50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Keaton MiddletonRyan Mast50122
2Marc-Andre GaudetThimo Nickl50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre-Edouard BellemareSam GagnerRadim ZohornaKeaton MiddletonRyan Mast
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre-Edouard BellemareSam GagnerRadim ZohornaKeaton MiddletonRyan Mast
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sam Gagner, Matteo Costantini, Ben JonesSam Gagner, Matteo CostantiniBen Jones
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Millman, Keaton Middleton, Marc-Andre GaudetMason MillmanRyan Mast, Marc-Andre Gaudet
Tirs de pénalité
Sam Gagner, Philip Tomasino, Pierre-Edouard Bellemare, Radim Zohorna, Lukas Rousek
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
1Moose734000001723-6422000001213-131200000510-560.4291726430055521803567744218671501259222.22%37781.08%25911949.58%9118848.40%439545.26%124541477915571
Total734000001723-6422000001213-131200000510-560.4291726430055521803567744218671501259222.22%37781.08%25911949.58%9118848.40%439545.26%124541477915571
_Since Last GM Reset734000001723-6422000001213-131200000510-560.4291726430055521803567744218671501259222.22%37781.08%25911949.58%9118848.40%439545.26%124541477915571
_Vs Conference734000001723-6422000001213-131200000510-560.4291726430055521803567744218671501259222.22%37781.08%25911949.58%9118848.40%439545.26%124541477915571

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L11726431802186715012500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400001723
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001213
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000510
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
9222.22%37781.08%2
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
35677445552
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
5911949.58%9118848.40%439545.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
124541477915571


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
14Moose1Rams3WSommaire du match
312Moose1Rams2WXSommaire du match
520Rams1Moose4LSommaire du match
728Rams1Moose4LSommaire du match
936Moose3Rams1LSommaire du match
1144Rams3Moose2WXSommaire du match
1352Moose8Rams6LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3414
Assistance9,88022,000
Assistance PCT98.80%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 7970 - 99.63% 193,176$772,704$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,555,781$ 3,555,781$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 30 0

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




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