Connexion

Avalanche
GP: 8 | W: 6 | L: 2 | OTL: 0 | P: 12
GF: 16 | GA: 11 | PP%: 7.14% | PK%: 87.88%
DG: Brian | Morale : 1 | Moyenne d’équipe : 82
Prochains matchs #59 vs Red Wings
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Centre de jeu
Red Wings
6-2-1, 13pts
3
FINAL
1 Avalanche
6-2-0, 12pts
Team Stats
W5SéquenceW1
3-2-0Fiche domicile4-1-0
3-0-1Fiche visiteur2-1-0
6-2-1Derniers 10 matchs6-2-0
2.67Buts par match 2.00
2.11Buts contre par match 1.38
9.68%Pourcentage en avantage numérique7.14%
93.33%Pourcentage en désavantage numérique87.88%
Canadiens
5-5-0, 10pts
1
FINAL
2 Avalanche
6-2-0, 12pts
Team Stats
L1SéquenceW1
3-1-0Fiche domicile4-1-0
2-4-0Fiche visiteur2-1-0
5-5-0Derniers 10 matchs6-2-0
1.80Buts par match 2.00
1.70Buts contre par match 1.38
10.00%Pourcentage en avantage numérique7.14%
88.89%Pourcentage en désavantage numérique87.88%
Red Wings
6-2-1, 13pts
2024-11-20
Avalanche
6-2-0, 12pts
Statistiques d’équipe
W5SéquenceW1
3-2-0Fiche domicile4-1-0
3-0-1Fiche visiteur2-1-0
6-2-110 derniers matchs6-2-0
2.67Buts par match 2.00
2.11Buts contre par match 2.00
9.68%Pourcentage en avantage numérique7.14%
93.33%Pourcentage en désavantage numérique87.88%
Avalanche
6-2-0, 12pts
2024-11-21
Blackhawks
2-5-1, 5pts
Statistiques d’équipe
W1SéquenceL2
4-1-0Fiche domicile2-2-1
2-1-0Fiche visiteur0-3-0
6-2-010 derniers matchs2-5-1
2.00Buts par match 1.88
1.38Buts contre par match 1.88
7.14%Pourcentage en avantage numérique7.14%
87.88%Pourcentage en désavantage numérique88.89%
Avalanche
6-2-0, 12pts
2024-11-22
Red Wings
6-2-1, 13pts
Statistiques d’équipe
W1SéquenceW5
4-1-0Fiche domicile3-2-0
2-1-0Fiche visiteur3-0-1
6-2-010 derniers matchs6-2-1
2.00Buts par match 2.67
1.38Buts contre par match 2.67
7.14%Pourcentage en avantage numérique9.68%
87.88%Pourcentage en désavantage numérique93.33%
Meneurs d'équipe
Buts
Milan Hejduk
5
Passes
Brooks Laich
6
Points
Brooks Laich
9
Plus/Moins
Milan Hejduk
6
Victoires
Pekka Rinne
6
Pourcentage d’arrêts
Pekka Rinne
0.927

Statistiques d’équipe
Buts pour
16
2.00 GFG
Tirs pour
112
14.00 Avg
Pourcentage en avantage numérique
7.1%
2 GF
Début de zone offensive
31.9%
Buts contre
11
1.38 GAA
Tirs contre
150
18.75 Avg
Pourcentage en désavantage numérique
87.9%%
4 GA
Début de la zone défensive
41.0%
Informations de l'équipe

Directeur généralBrian
EntraîneurJim Playfair
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Nom
Capacité18,000
Assistance17,337
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure25
Limite contact 45 / 250
Espoirs34


Plafond salarial

Cap Salarial de la Saison estimé53,238,537$
Plafond salarial disponible21,761,463$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial20


Finance

Revenu annuel à ce jour3,308,034$
Dépenses annuelles à ce jour8,398,672$
Revenus de la saison estimés17,201,777$
Dépenses de la saison estimées45,667,779$
Compte bancaire actuel44,395,746$
Compte bancaire projeté14,003,684$


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
1Rick Nash0X100.0095948897969999997792978797818987878522547,800,000$
2Paul Stastny0X100.0079749198899999999799878787798187878422446,600,000$
3Milan Hejduk0X100.0078769995839595997088968396979987878323313,000,000$
4Brooks Laich0X100.0088759688889999987791919091837987878222612,067,667$
5Chris Stewart0X100.0092998483999999997193937793757687878122222,875,000$
6Matt Duchene (R)0X100.0081769994879999978589898289677587878121823,200,000$
7T.J. Galiardi (R)0X100.008875979384999997828784928473728787812211875,000$
8David Jones0X100.008878997892848499708195879581808787792251837,500$
9Daniel Winnik0X100.009177998687999995747971907179798787782242950,000$
10Peter Mueller0X100.0080779989909898967387827782737887877822122,000,000$
11Cody Mcleod0X100.0099955781929999947176748274817887877622521,033,333$
12Dan Girardi0X100.0099889087949999856784799979818187878322543,325,000$
13Kyle Quincey0X100.0092918487909999876787799779797687878222423,125,000$
14John-Michael Liles0X100.0080749499809494986793838383898887878122924,200,000$
15Ryan Suter0X100.0081749297879999916793758975798187878122423,500,000$
16Scott Hannan0X100.0085759485979999828981719571919487878123014,500,000$
17Adam Foote0X100.0096738488968989806778679167999987878023811,250,000$
18Kyle Cumiskey0X100.008175998780909087678385948577768787782231600,000$
Rayé
Équipe Mineure
1Cal Clutterbuck0X100.009994899191999992717481838175768787782221750,000$
2Steve Begin0X100.009995908684999989907472857293878787772311500,000$
3Patrick Kaleta0X100.009991638986909094677281828177768787762232750,000$
4Ryan O'Reilly (R)0X100.007876998087999989878075927567688787762182900,000$
5Brandon Yip (R)0X100.008673917479838393678090789079828787752242725,000$
6Brian Boyle0X100.009999907999959588766871847181818887752251525,000$
7Dan Sexton (R)0X100.008074978574868695678285778575718787752221750,000$
8Brian Sutherby0X100.009896698390868691737275807585838787742271750,000$
9Cal O'Reilly (R)0X100.007177998981808088838271817177798787732231562,500$
10Fabian Brunnstrom0X100.008777998993828285717970777079788787732241500,000$
11Kevin Porter0X100.007978998883767685746973837377778787722231500,000$
12David Koci0X100.008698547299737367676769766887838787672281575,000$
13Ryan Wilson (R)0X100.009299928490909087678775877575728787782221551,667$
14John Erskine0X100.00999473779776766967756988698988878775229175,000$
15David Hale0X100.009196928395747472677467836787838787742281750,000$
16David Liffiton0X100.008782938487818174677473857162628787732251500,000$
17Kevin Shattenkirk (R)0X100.007978927772726777824747824282827287670173750,000$
18Justin Mercier (R)0X100.008778997783696976897274827375808787702221500,000$
19Ryan Stoa (R)0X100.008478998088707076677177777775718787692221500,000$
20Philippe Dupuis (R)0X100.007577998585646468747167806779778787682241500,000$
21Ben Walter0X100.007075998783636367726767766781788787662251500,000$
22Greg Mauldin0X100.007578998384626267926767766785808787662271500,000$
MOYENNE D’ÉQUIPE100.00878391868888888774797784778080878776
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
1Jonas Hiller0100.00999987999999999999999988883287932281750,000$
2Pekka Rinne0100.00999995999999999999999988894287932271750,000$
Rayé
Équipe Mineure
1Craig Anderson0100.009999779999999999999999929542879322911,812,500$
2Peter Budaj0100.009281929796949496969495908357878922711,250,000$
3John Grahame0100.00848187928585848684858587878787822341500,000$
MOYENNE D’ÉQUIPE100.0095928897969595969595958988528790
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Playfair67707065767170CAN471828,000$


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
1Brooks LaichAvalancheC83696001031561320.00%515419.320223250001141043.48%6991001.1600000220
2Milan HejdukAvalancheRW8549640611761129.41%014918.631014250000103171.43%7111001.2100000230
3Paul StastnyAvalancheC81342406511249.09%015919.980003230001360048.00%7581000.5011000001
4Rick NashAvalancheRW8224380461501213.33%118423.110004210002290138.98%59166100.4311000100
5Scott HannanAvalancheD8123-1203542225.00%516520.69101221000024010%003000.3600000000
6Adam FooteAvalancheD8022280342110%311013.820000000000000%005000.3600000000
7Daniel WinnikAvalancheLW8022500572030%213617.01011024000010037.50%813000.2900000001
8Kyle QuinceyAvalancheD8022-140852630%416620.77011021000022000%015000.2400000000
9T.J. GaliardiAvalancheLW81122001542125.00%211614.57000123000000040.00%513100.3400000001
10David JonesAvalancheRW81011003461116.67%1769.56000000002180025.00%1230000.2600000100
11Kyle CumiskeyAvalancheD810110001101100.00%1222.780000000000100%000000.9000000010
12Ryan SuterAvalancheD80114603100000%417822.30000026000029000%009000.1100000000
13Chris StewartAvalancheRW8000-21406383140%112115.1500001000000020.00%58300000000000
14Cody McleodAvalancheLW8000-3140518050%111914.900000000014000%00400000000000
15Dan GirardiAvalancheD8000520674120%520625.79000027000031000%011500000000000
16John-Michael LilesAvalancheD8000200133110%211814.810000000006000%00200000000000
17Matt DucheneAvalancheC8000-3001174130%111714.7000000000000051.92%5211200000000000
18Peter MuellerAvalancheC8000100203200%1516.4300000000000033.33%182100000000000
Statistiques d’équipe totales ou en moyenne144152540306607371112378713.39%39235416.352461724300072315343.87%3107264200.3422000663
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
1Pekka RinneAvalanche86200.9271.36484001115070101.000280001
Statistiques d’équipe totales ou en moyenne86200.9271.3648400111507010280001


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
Adam FooteAvalancheD381986-11-03CANNo220 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$1,055,825$1,250,000$1,055,825$No---------------------------
Brooks LaichAvalancheC261998-11-03CANNo200 Lbs6 ft2NoNoAssign ManuallyNoNo1FalseFalsePro & Farm2,067,667$1,746,476$2,067,667$1,746,476$No---------------------------
Chris StewartAvalancheRW222002-11-03CANNo228 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm2,875,000$2,428,398$2,875,000$2,428,398$No2,875,000$-----------------No--------
Cody McleodAvalancheLW251999-11-03CANNo210 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,033,333$872,815$1,033,333$872,815$No1,033,333$-----------------No--------
Dan GirardiAvalancheD251999-11-03CANNo215 Lbs6 ft2NoNoAssign ManuallyNoNo4FalseFalsePro & Farm3,325,000$2,808,495$3,325,000$2,808,495$No3,325,000$3,325,000$3,325,000$---------------NoNoNo------
Daniel WinnikAvalancheLW242000-11-03CANNo201 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm950,000$802,427$950,000$802,427$No950,000$-----------------No--------
David JonesAvalancheRW251999-11-03CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm837,500$707,403$837,500$707,403$No---------------------------
John-Michael LilesAvalancheD291995-11-03USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm4,200,000$3,547,573$4,200,000$3,547,573$No4,200,000$-----------------No--------
Jonas HillerAvalancheG281996-11-03CHENo190 Lbs6 ft2NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Kyle CumiskeyAvalancheD232001-11-03CANNo185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm600,000$506,796$600,000$506,796$No---------------------------
Kyle QuinceyAvalancheD242000-11-03CANNo207 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm3,125,000$2,639,563$3,125,000$2,639,563$No3,125,000$-----------------No--------
Matt DucheneAvalancheC182006-11-03CANYes200 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm3,200,000$2,702,913$3,200,000$2,702,913$No3,200,000$-----------------No--------
Milan HejdukAvalancheRW331991-11-03CZENo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm3,000,000$2,533,981$3,000,000$2,533,981$No---------------------------
Paul StastnyAvalancheC242000-11-03CANNo205 Lbs6 ft0NoNoN/ANoNo4FalseFalsePro & Farm6,600,000$5,574,757$6,600,000$5,574,757$No6,600,000$6,600,000$6,600,000$---------------NoNoNo------
Pekka RinneAvalancheG271997-11-03FINNo207 Lbs6 ft5NoNoAssign ManuallyNoNo12024-10-08FalseFalsePro & Farm750,000$633,495$750,000$633,495$No---------------------------
Peter MuellerAvalancheC212003-11-03USANo204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$1,689,320$2,000,000$1,689,320$No2,000,000$-----------------No--------
Rick NashAvalancheRW251999-11-03CANNo218 Lbs6 ft4NoNoAssign ManuallyNoNo4FalseFalsePro & Farm7,800,000$6,588,350$7,800,000$6,588,350$No7,800,000$7,800,000$7,800,000$---------------NoNoNo------
Ryan SuterAvalancheD242000-11-03USANo198 Lbs6 ft1NoNoAssign ManuallyNoNo2FalseFalsePro & Farm3,500,000$2,956,311$3,500,000$2,956,311$No3,500,000$-----------------No--------
Scott HannanAvalancheD301994-11-03CANNo225 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm4,500,000$3,800,971$4,500,000$3,800,971$No---------------------------
T.J. GaliardiAvalancheLW212003-11-03CANYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm875,000$739,078$875,000$739,078$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.60204 Lbs6 ft11.852,661,925$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
53,238,500$38,608,333$17,725,000$17,725,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1T.J. GaliardiPaul StastnyRick Nash40122
2Daniel WinnikBrooks LaichMilan Hejduk30122
3Cody McleodMatt DucheneChris Stewart20122
4Rick NashPeter MuellerDavid Jones10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiRyan Suter40122
2Kyle QuinceyScott Hannan30122
3Adam FooteJohn-Michael Liles20122
4Kyle CumiskeyDan Girardi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1T.J. GaliardiPaul StastnyRick Nash60122
2Daniel WinnikBrooks LaichMilan Hejduk40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiRyan Suter60122
2Kyle QuinceyScott Hannan40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rick NashPaul Stastny60122
2Milan HejdukBrooks Laich40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiRyan Suter60122
2Kyle QuinceyScott Hannan40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rick Nash60122Dan GirardiRyan Suter60122
2Paul Stastny40122Kyle QuinceyScott Hannan40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rick NashPaul Stastny60122
2Milan HejdukBrooks Laich40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dan GirardiRyan Suter60122
2Kyle QuinceyScott Hannan40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
T.J. GaliardiPaul StastnyRick NashDan GirardiRyan Suter
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
T.J. GaliardiPaul StastnyRick NashDan GirardiRyan Suter
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Stewart, Matt Duchene, David JonesChris Stewart, Matt DucheneDavid Jones
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Foote, John-Michael Liles, Kyle CumiskeyAdam FooteJohn-Michael Liles, Kyle Cumiskey
Tirs de pénalité
Rick Nash, Paul Stastny, Milan Hejduk, Brooks Laich, Chris Stewart
Gardien
#1 : Pekka Rinne, #2 : Jonas Hiller


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
1Blackhawks32000010844110000003122100001053261.0008111900115236136172511620278112.50%10190.00%0509950.51%4712737.01%398446.43%623773254923
2Canadiens11000000211110000002110000000000021.000235000110164750187106300.00%50100.00%0509950.51%4712737.01%398446.43%2113248146
3Flames11000000312110000003120000000000021.00035800003014347013209500.00%000%0509950.51%4712737.01%398446.43%2214208168
4Red Wings2020000014-31010000013-21010000001-100.000123001000261012404992224900.00%11281.82%0509950.51%4712737.01%398446.43%402547173115
5Sharks11000000211110000002110000000000021.00024600002020531201951473133.33%7185.71%0509950.51%4712737.01%398446.43%2113238157
Total852000101611554100000117431100010541120.750162541002211211235324521503966732827.14%33487.88%0509950.51%4712737.01%398446.43%1681041896812761
_Since Last GM Reset852000101611554100000117431100010541120.750162541002211211235324521503966732827.14%33487.88%0509950.51%4712737.01%398446.43%1681041896812761
_Vs Conference74200010141044310000096331100010541100.71414223600211029631254021323256672528.00%28485.71%0509950.51%4712737.01%398446.43%146901656011254
_Vs Division52200010981211000004403110001054160.600913220021526223182121002542511715.88%21385.71%0509950.51%4712737.01%398446.43%10363121438039

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
812W116254111215039667300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
85200101611
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
5410000117
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
311001054
Derniers 10 matchs
WLOTWOTL SOWSOL
520010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2827.14%33487.88%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
353245222112
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
509950.51%4712737.01%398446.43%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1681041896812761


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
6 - 2024-11-098Sharks1Avalanche2WSommaire du match
7 - 2024-11-1015Flames1Avalanche3WSommaire du match
8 - 2024-11-1119Avalanche3Blackhawks2WXXSommaire du match
9 - 2024-11-1226Avalanche2Blackhawks1WSommaire du match
10 - 2024-11-1331Blackhawks1Avalanche3WSommaire du match
12 - 2024-11-1538Avalanche0Red Wings1LSommaire du match
13 - 2024-11-1643Red Wings3Avalanche1LSommaire du match
15 - 2024-11-1852Canadiens1Avalanche2WSommaire du match
17 - 2024-11-2059Red Wings-Avalanche-
18 - 2024-11-2163Avalanche-Blackhawks-
19 - 2024-11-2266Avalanche-Red Wings-
21 - 2024-11-2475Flyers-Avalanche-
23 - 2024-11-2683Avalanche-Flames-
24 - 2024-11-2785Avalanche-Flyers-
26 - 2024-11-2991Blackhawks-Avalanche-
27 - 2024-11-3098Avalanche-Blackhawks-
28 - 2024-12-01102Lightning-Avalanche-
30 - 2024-12-03109Hurricanes-Avalanche-
32 - 2024-12-05115Avalanche-Maple Leafs-
33 - 2024-12-06121Avalanche-Red Wings-
35 - 2024-12-08127Bruins-Avalanche-
38 - 2024-12-11136Sharks-Avalanche-
39 - 2024-12-12140Avalanche-Sharks-
41 - 2024-12-14147Canucks-Avalanche-
43 - 2024-12-16155Avalanche-Bruins-
44 - 2024-12-17158Avalanche-Red Wings-
45 - 2024-12-18163Flames-Avalanche-
47 - 2024-12-20170Blackhawks-Avalanche-
49 - 2024-12-22179Avalanche-Flames-
50 - 2024-12-23183Hurricanes-Avalanche-
51 - 2024-12-24189Avalanche-Canadiens-
52 - 2024-12-25193Avalanche-Blackhawks-
53 - 2024-12-26199Red Wings-Avalanche-
54 - 2024-12-27205Avalanche-Lightning-
55 - 2024-12-28211Maple Leafs-Avalanche-
57 - 2024-12-30217Avalanche-Red Wings-
59 - 2025-01-01222Flames-Avalanche-
60 - 2025-01-02230Flyers-Avalanche-
62 - 2025-01-04234Avalanche-Bruins-
66 - 2025-01-08243Bruins-Avalanche-
68 - 2025-01-10251Avalanche-Flyers-
69 - 2025-01-11255Sharks-Avalanche-
71 - 2025-01-13262Avalanche-Lightning-
72 - 2025-01-14266Maple Leafs-Avalanche-
74 - 2025-01-16275Avalanche-Flames-
75 - 2025-01-17279Canucks-Avalanche-
76 - 2025-01-18285Avalanche-Canucks-
77 - 2025-01-19291Canucks-Avalanche-
79 - 2025-01-21301Red Wings-Avalanche-
80 - 2025-01-22303Avalanche-Sharks-
81 - 2025-01-23312Lightning-Avalanche-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
84 - 2025-01-26318Avalanche-Canadiens-
86 - 2025-01-28325Red Wings-Avalanche-
88 - 2025-01-30329Avalanche-Canucks-
89 - 2025-01-31332Avalanche-Sharks-
91 - 2025-02-02338Canadiens-Avalanche-
92 - 2025-02-03342Avalanche-Maple Leafs-
96 - 2025-02-07351Blackhawks-Avalanche-
98 - 2025-02-09360Avalanche-Hurricanes-
99 - 2025-02-10362Blackhawks-Avalanche-
101 - 2025-02-12370Avalanche-Hurricanes-
102 - 2025-02-13372Avalanche-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603520200
Assistance28,58224,1269,62719,4354,916
Attendance PCT95.27%96.50%96.27%97.18%98.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 17337 - 96.32% 661,607$3,308,034$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
8,398,672$ 53,238,500$ 0$ 828,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
516,879$ 8,270,064$ 0$ 20 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
17,201,777$ 87 524,917$ 45,667,779$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
47,593,839$ 44,395,746$ 14,003,684$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
53,238,537$ 21,761,463$ 75,000,000$ 18,238,537$



Charte de profondeur

Ailier gaucheCentreAilier droit
T.J. Galiardi (R)AGE:21PO:87OV:81
Daniel WinnikAGE:24PO:87OV:78
Steve BeginAGE:31PO:87OV:77
Cody McleodAGE:25PO:87OV:76
Fabian BrunnstromAGE:24PO:87OV:73
David KociAGE:28PO:87OV:67
Paul StastnyAGE:24PO:87OV:84
Brooks LaichAGE:26PO:87OV:82
Matt Duchene (R)AGE:18PO:87OV:81
Peter MuellerAGE:21PO:87OV:78
Ryan O'Reilly (R)AGE:18PO:87OV:76
Brian BoyleAGE:25PO:88OV:75
Brian SutherbyAGE:27PO:87OV:74
Cal O'Reilly (R)AGE:23PO:87OV:73
Kevin PorterAGE:23PO:87OV:72
Justin Mercier (R)AGE:22PO:87OV:70
Ryan Stoa (R)AGE:22PO:87OV:69
Philippe Dupuis (R)AGE:24PO:87OV:68
Ben WalterAGE:25PO:87OV:66
Greg MauldinAGE:27PO:87OV:66
Rick NashAGE:25PO:87OV:85
Milan HejdukAGE:33PO:87OV:83
Chris StewartAGE:22PO:87OV:81
David JonesAGE:25PO:87OV:79
Cal ClutterbuckAGE:22PO:87OV:78
Patrick KaletaAGE:23PO:87OV:76
Brandon Yip (R)AGE:24PO:87OV:75
Dan Sexton (R)AGE:22PO:87OV:75

Défense #1Défense #2Gardien
Dan GirardiAGE:25PO:87OV:83
Kyle QuinceyAGE:24PO:87OV:82
John-Michael LilesAGE:29PO:87OV:81
Ryan SuterAGE:24PO:87OV:81
Scott HannanAGE:30PO:87OV:81
Adam FooteAGE:38PO:87OV:80
Kyle CumiskeyAGE:23PO:87OV:78
Ryan Wilson (R)AGE:22PO:87OV:78
John ErskineAGE:29PO:87OV:75
David HaleAGE:28PO:87OV:74
David LiffitonAGE:25PO:87OV:73
Kevin Shattenkirk (R)AGE:17PO:72OV:67
Craig AndersonAGE:29PO:42OV:93
Pekka RinneAGE:27PO:42OV:93
Jonas HillerAGE:28PO:32OV:93
Peter BudajAGE:27PO:57OV:89
John GrahameAGE:34PO:87OV:82

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Brad MaloneAvalanche00
Brandon MaxwellAvalanche00
Calvin PickardAvalanche00
Cameron GaunceAvalanche00
Colby CohenAvalanche00
Darcy CampbellAvalanche00
Denis ParshinAvalanche00
Gus YoungAvalanche00
Harrison ReedAvalanche00
Jens HellgrenAvalanche00
Joel ChouinardAvalanche00
Joey HishonAvalanche00
Johan AlcenAvalanche00
Jonas HolosAvalanche00
Kent PattersonAvalanche00
Kevin MontgomeryAvalanche00
Kieran MillanAvalanche00
Luke MoffattAvalanche00
Luke WalkerAvalanche00
Mark OlverAvalanche00
Michael BournivalAvalanche00
Michael CarmanAvalanche00
Nate CondonAvalanche00
Paul CareyAvalanche00
Raymond MaciasAvalanche00
Richard Demen-WillaumeAvalanche00
Sami AittokallioAvalanche00
Stefan ElliottAvalanche00
Stephen SilasAvalanche00
Tom FritscheAvalanche00
Trevor CannAvalanche00
Troy RutkowskiAvalanche00
Tyson BarrieAvalanche00
Zach CohenAvalanche00

Choix au repêchage

Année R1R2R3R4R5R6R7
2011Col Col Col Col Col Col
2012Col Col Col Col Col Col
2013Col Col Col Col Col Col Col
2014Col Col Col Col Col Col Col
2015Col Col Col Col Col Col Col
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Avalanche Historique de transactions

[11/19/2024 7:25:52 AM] - New Record for Team's Most Shots Blocked (7) in 1 Game for Avalanche!
[11/16/2024 7:26:02 AM] - New Record for Team's Most Hits (16) in 1 Game for Avalanche!
[11/13/2024 7:28:29 AM] - New Record for Team's Most Hits (11) in 1 Game for Avalanche!
[11/12/2024 7:17:54 AM] - New Record for Team's Most Hits (10) in 1 Game for Avalanche!
[11/12/2024 7:17:54 AM] - New Record for Team's Most Shots Blocked (6) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Hits (9) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Points (8) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Assists (5) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] - New Record for Team's Most Goals (3) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Hits (7) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Shots Blocked (5) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Shots (20) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Points (6) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Assists (4) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Goals (2) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] - New Record for Team's Most Penalties Minutes (14) in 1 Game for Avalanche!
[10/19/2024 7:27:30 AM] - Avalanche hired Jim Playfair for $828,000 for 1 year(s).
[10/16/2024 9:20:41 AM] - Fabian Brunnstrom was added to Avalanche.
[10/16/2024 9:20:35 AM] - Dan Sexton was added to Avalanche.



[11/19/2024 7:25:52 AM] New Record for Team's Most Shots Blocked (7) in 1 Game for Avalanche!
[11/16/2024 7:26:02 AM] New Record for Team's Most Hits (16) in 1 Game for Avalanche!
[11/13/2024 7:28:29 AM] New Record for Team's Most Hits (11) in 1 Game for Avalanche!
[11/12/2024 7:17:54 AM] New Record for Team's Most Hits (10) in 1 Game for Avalanche!
[11/12/2024 7:17:54 AM] New Record for Team's Most Shots Blocked (6) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] New Record for Team's Most Hits (9) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] New Record for Team's Most Points (8) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] New Record for Team's Most Assists (5) in 1 Game for Avalanche!
[11/11/2024 7:26:38 AM] New Record for Team's Most Goals (3) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Hits (7) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Penalties Minutes (14) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Shots Blocked (5) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Shots (20) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Points (6) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Assists (4) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Goals (2) in 1 Game for Avalanche!
[11/10/2024 7:15:22 AM] New Record for Team's Most Penalties Minutes (14) in 1 Game for Avalanche!



Pas de blessure ou de suspension.


Avalanche 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

Avalanche 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

Avalanche 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

Avalanche 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

Avalanche 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