Avalanche

GP: 30 | W: 19 | L: 10 | OTL: 1 | P: 39
GF: 83 | GA: 79 | PP%: 19.35% | PK%: 80.51%
DG: Carl Morin | Morale : 65 | Moyenne d'Équipe : 75
Prochain matchs #369 vs Devils
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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 SP
1Tyler BertuzziXX100.007350797472818672537574627167687072770
2Tom WilsonX100.009580497090837669537278836569678172750
3Corey Perry (A)X100.006249687385775471526370597284754373740
4J.T. CompherX100.006345797472838273777072837167697473740
5Oliver BjorkstrandXX100.005936927370729070536475637267656273740
6Henrik BorgstromX100.005936926981757268767064596763628375720
7Chris TierneyX97.005638857176829469807962736669666873710
8Nikolay GoldobinXX100.005338866972777668507362566567657873710
9Tyler ToffoliX100.005743867674839574587066697173706166710
10Phil VaroneXXX100.005736916472706663766665626177695273710
11Robert ThomasXX100.005337896972738368727463576660628473710
12Christian DvorakX100.005735946273775360766357535865646966660
13Seth Jones (A)X100.008039837888938877308370866469718673800
14Tyler MyersX100.007848726899869367307669835877726974780
15Nate SchmidtX100.005936917576887473307872835875693673760
16Christopher TanevX100.005838856280866861307256894978703573740
17Kevan MillerX100.008458696281835361307255844680722763740
18Keith YandleX100.005942747876899576308868535882753770730
Rayé
1Noah HanifinX100.007436916886879368307862795363648827740
2Robert HaggX100.009443706881829563307261765267657227740
MOYENNE D'ÉQUIPE99.85674381707981796951736671627168646774
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 SP
1Sergei Bobrovsky100.00959492779493959493959479853870880
2Carter Hutton100.00869492748584868584868584882673820
Rayé
MOYENNE D'ÉQUIPE100.0091949276908991908991908287327285
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Babcock78849389837765CAN5536,500,000$


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
1Tyler BertuzziAvalancheLW/RW3016153142004324132417612.12%1363621.226713251131014333138.18%1102014100.9704000310
2Chris TierneyAvalancheC29101929080396480165412.50%2166522.943710111110004821048.72%1053913000.8700000043
3Tom WilsonAvalancheRW30912213420733886266310.47%1561020.3544811930223931037.14%35219000.6900000003
4Seth JonesAvalancheD3051318-112062577429406.76%5079426.49448171230114107100.00%03039000.4500000101
5Keith YandleAvalancheD3031417-123529185418325.56%1747815.943691410500001100.00%02519000.7100010200
6J.T. CompherAvalancheLW308715-332036419320378.60%2456418.800112180005621050.00%441315000.5314000032
7Robert ThomasAvalancheC/RW306915-420243658173310.34%1242514.19145974000002243.70%34197000.7000000103
8Nate SchmidtAvalancheD3011314-14010285025262.00%2554518.19145780000033000.00%0819000.5100000001
9Nikolay GoldobinAvalancheLW/RW306511-220292260212910.00%1349116.381124750000221057.69%26104000.4500000120
10Oliver BjorkstrandAvalancheLW/RW305611-12026205316349.43%741713.91156796000031047.06%1778000.5304000110
11Tyler ToffoliAvalancheRW2444814022146322326.35%527711.57000001011340147.06%1783000.5823000101
12Henrik BorgstromAvalancheC29145-1201435289213.57%530310.4600002000001048.65%18531000.3311000002
13Corey PerryAvalancheRW30314-228040166024355.00%22999.97000217000361060.00%10104000.2724000000
14Kevan MillerAvalancheD30044-11604124179160.00%3149516.52000114000169000.00%0024000.1600000000
15Tyler MyersAvalancheD30044149557423421250.00%3271623.89000382011277000.00%02024000.1101001000
16Phil VaroneAvalancheC/LW/RW301340002621306243.33%532610.870111160002320049.55%11115000.2500000000
17Christian DvorakAvalancheC251230206696811.11%22188.72000010000161054.74%9504000.2800000000
18Christopher TanevAvalancheD3002200017422113100.00%3450016.6800006000091000.00%0222000.0800000000
19Michael AmadioRampages (COL)C1000000111000.00%066.850000000011000.00%200000.0000000000
20Noah HanifinAvalancheD6000000520010.00%1589.740000100002000.00%011000.0000000000
21Robert HaggAvalancheD6000020210000.00%3396.520000000002000.00%003000.0000000000
Stats d'équipe Total ou en Moyenne54079137216-82501060255210033395967.88%317887116.4324446811410352463077615447.56%2046197238100.49621011101116
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
1Sergei BobrovskyAvalanche2617900.9222.6615802070902377100.90020262530
2Carter HuttonAvalanche42110.9362.2424120914154100.0000426020
Stats d'équipe Total ou en Moyenne30191010.9242.60182240791043431200.900203028550


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Carter HuttonAvalancheG311985-12-19No198 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm2,750,000$2,750,000$1,731,481$NoLien
Chris TierneyAvalancheC231994-07-01No195 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm2,937,500$2,937,500$1,849,537$NoLien
Christian DvorakAvalancheC211996-02-02No195 Lbs6 ft0NoNoNo6Contrat d'EntréePro & Farm4,450,000$4,450,000$2,801,852$NoLien
Christopher TanevAvalancheD271989-12-20No197 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm4,450,000$4,450,000$2,801,852$NoLien
Corey PerryAvalancheRW321985-05-16No206 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm8,625,000$8,625,000$5,430,556$NoLien
Henrik BorgstromAvalancheC201997-08-06No190 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$472,222$NoLien
J.T. CompherAvalancheLW221995-04-08No193 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm3,500,000$3,500,000$2,203,704$NoLien
Keith YandleAvalancheD311986-09-09No191 Lbs6 ft1NoNoNo4Sans RestrictionPro & Farm6,350,000$6,350,000$3,998,148$NoLien
Kevan MillerAvalancheD291987-11-15No210 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm2,475,000$2,475,000$1,558,333$NoLien
Nate SchmidtAvalancheD261991-07-16No194 Lbs6 ft1NoNoNo6Contrat d'EntréePro & Farm5,950,000$5,950,000$3,746,296$NoLien
Nikolay GoldobinAvalancheLW/RW211995-10-07No196 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$900,000$566,667$NoLien
Noah HanifinAvalancheD201997-01-25No215 Lbs6 ft3NoNoNo5Contrat d'EntréePro & Farm4,950,000$4,950,000$3,116,667$NoLien
Oliver BjorkstrandAvalancheLW/RW221995-04-10No177 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm2,500,000$2,500,000$1,574,074$NoLien
Phil VaroneAvalancheC/LW/RW261990-12-04No193 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$472,222$NoLien
Robert HaggAvalancheD221995-02-08No204 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,150,000$1,150,000$724,074$NoLien
Robert ThomasAvalancheC/RW181999-07-02No188 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm750,000$750,000$472,222$NoLien
Sergei BobrovskyAvalancheG291988-09-20No182 Lbs6 ft2NoNoNo7Sans RestrictionPro & Farm10,000,000$10,000,000$6,296,296$NoLien
Seth JonesAvalancheD221994-10-03No210 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm5,400,000$5,400,000$3,400,000$NoLien
Tom WilsonAvalancheRW231994-03-29No218 Lbs6 ft4NoNoNo5Contrat d'EntréePro & Farm5,166,666$5,166,666$3,253,086$NoLien
Tyler BertuzziAvalancheLW/RW221995-02-24No190 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm1,400,000$1,400,000$881,481$NoLien
Tyler MyersAvalancheD271990-02-01No229 Lbs6 ft8NoNoNo5Avec RestrictionPro & Farm6,000,000$6,000,000$3,777,778$NoLien
Tyler ToffoliAvalancheRW251992-04-24No197 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm4,600,000$4,600,000$2,896,296$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.50199 Lbs6 ft22.773,900,189$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
85,804,166$65,641,666$51,766,666$46,366,666$36,516,666$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1J.T. CompherChris TierneyTyler Bertuzzi40122
2Nikolay GoldobinRobert ThomasTom Wilson30122
3Oliver BjorkstrandHenrik BorgstromTyler Toffoli20023
4Phil VaroneChristian DvorakCorey Perry10050
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth JonesTyler Myers40122
2Christopher TanevKeith Yandle30023
3Nate SchmidtKevan Miller30122
4Seth JonesTyler Myers0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Oliver BjorkstrandChris TierneyTyler Bertuzzi60122
2Nikolay GoldobinRobert ThomasTom Wilson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth JonesKeith Yandle60122
2Nate SchmidtTyler Myers40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Chris TierneyTom Wilson60122
2Phil VaroneJ.T. Compher40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Christopher TanevSeth Jones60122
2Kevan MillerTyler Myers40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Chris Tierney60122Christopher TanevSeth Jones60122
2J.T. Compher40122Kevan MillerTyler Myers40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Chris TierneyTyler Bertuzzi60122
2Robert ThomasTom Wilson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth JonesKeith Yandle60122
2Nate SchmidtTyler Myers40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Tyler BertuzziChris TierneyTom WilsonSeth JonesKeith Yandle
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
J.T. CompherChris TierneyTom WilsonSeth JonesChristopher Tanev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Bertuzzi, Tom Wilson, Chris TierneyJ.T. Compher, Tyler BertuzziTyler Toffoli
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Seth Jones, Nate Schmidt, Tyler MyersKeith YandleNate Schmidt, Christopher Tanev
Tirs de Pénalité
Tyler Bertuzzi, Oliver Bjorkstrand, J.T. Compher, Corey Perry, Tyler Toffoli
Gardien
#1 : Sergei Bobrovsky, #2 : Carter Hutton


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
LigueDomicileVisiteur
# 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
1Blackhawks21000010963110000005321000001043141.00091423001521701829235762835347228.57%10190.00%037078047.44%40281449.39%20142747.07%412245193717
2Blue Jackets11000000312110000003120000000000021.0003690000303281014034132176116.67%10100.00%037078047.44%40281449.39%20142747.07%22121991810
3Blues3210000012932200000010461010000025-340.66712193100534092351641013129305713538.46%16475.00%037078047.44%40281449.39%20142747.07%593165275428
4Canadiens11000000413000000000001100000041321.00046100011203615111002110623100.00%30100.00%037078047.44%40281449.39%20142747.07%2213189199
5Capitals11000000514000000000001100000051421.0005101500131044131714036154156350.00%20100.00%037078047.44%40281449.39%20142747.07%2113239157
6Devils1010000034-1000000000001010000034-100.000358000030421113180376618700.00%3166.67%037078047.44%40281449.39%20142747.07%2112219178
7Ducks30300000312-91010000013-22020000029-700.0003580011109834244001153037621000.00%16568.75%037078047.44%40281449.39%20142747.07%593167285326
8Flames1010000024-21010000024-20000000000000.00024600011036417150257230600.00%10100.00%037078047.44%40281449.39%20142747.07%22111881910
9Golden Knights410010201174100000102113100101096381.0001115260023351445157351012045328118422.22%16287.50%037078047.44%40281449.39%20142747.07%824492427637
10Islanders201010004401010000012-11000100032120.500481200003173172827158231646600.00%80100.00%137078047.44%40281449.39%20142747.07%452641193316
11Jets21000100550110000003211000010023-130.7505813001310371213102661520376116.67%10280.00%137078047.44%40281449.39%20142747.07%341548213818
12Lightning1010000027-51010000027-50000000000000.0002350010103213118044178223133.33%4175.00%037078047.44%40281449.39%20142747.07%2011228168
13Penguins2110000046-2110000003211010000014-320.500471100301072261531090222042600.00%10370.00%037078047.44%40281449.39%20142747.07%382046193416
14Predateurs22000000624110000003121100000031241.0006121800312061221821075238408225.00%40100.00%037078047.44%40281449.39%20142747.07%432541183518
15Sharks22000000532220000005320000000000041.00059140013107121282204419104110330.00%5180.00%037078047.44%40281449.39%20142747.07%462636173619
16Stars2010001057-2100000104311010000014-320.50056110022016317271967115183711218.18%9366.67%037078047.44%40281449.39%20142747.07%432445183518
Total3013100214083794159400020443681546021203943-4390.6508313722000222629810033173343482410433172546021242419.35%1182380.51%237078047.44%40281449.39%20142747.07%624342655287543271
_Since Last GM Reset3013100214083794159400020443681546021203943-4390.6508313722000222629810033173343482410433172546021242419.35%1182380.51%237078047.44%40281449.39%20142747.07%624342655287543271
_Vs Conference219601140585531172000203524111024011202331-8290.690589215000162215767221422922623723211192419891921.35%871879.31%137078047.44%40281449.39%20142747.07%433232461202388194
_Vs Division1162001203729865000010251312512001101216-4170.7733759960012149232310410311413419110111205451226.67%491079.59%137078047.44%40281449.39%20142747.07%222119246105202101

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3039W3831372201003104331725460200
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
30131021408379
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
159400204436
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
154621203943
Derniers 10 Matchs
WLOTWOTL SOWSOL
630010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1242419.35%1182380.51%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
317334348242226298
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
37078047.44%40281449.39%20142747.07%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
624342655287543271


Derniers Match 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
2 - 2019-10-059Jets2Avalanche3WSommaire du Match
4 - 2019-10-0717Avalanche4Golden Knights3WXSommaire du Match
6 - 2019-10-0930Avalanche1Stars4LSommaire du Match
7 - 2019-10-1036Avalanche2Blues5LSommaire du Match
10 - 2019-10-1347Predateurs1Avalanche3WSommaire du Match
13 - 2019-10-1664Blackhawks3Avalanche5WSommaire du Match
15 - 2019-10-1876Avalanche2Jets3LXSommaire du Match
18 - 2019-10-2190Stars3Avalanche4WXXSommaire du Match
20 - 2019-10-23100Avalanche4Blackhawks3WXXSommaire du Match
22 - 2019-10-25109Blues2Avalanche5WSommaire du Match
24 - 2019-10-27119Avalanche3Predateurs1WSommaire du Match
25 - 2019-10-28127Avalanche1Ducks4LSommaire du Match
27 - 2019-10-30139Ducks3Avalanche1LSommaire du Match
29 - 2019-11-01152Avalanche1Ducks5LSommaire du Match
31 - 2019-11-03163Blues2Avalanche5WSommaire du Match
34 - 2019-11-06179Avalanche2Golden Knights1WXXSommaire du Match
36 - 2019-11-08188Sharks2Avalanche3WSommaire du Match
40 - 2019-11-12206Islanders2Avalanche1LSommaire du Match
42 - 2019-11-14216Avalanche3Devils4LSommaire du Match
44 - 2019-11-16223Avalanche3Islanders2WXSommaire du Match
46 - 2019-11-18235Blue Jackets1Avalanche3WSommaire du Match
49 - 2019-11-21252Lightning7Avalanche2LSommaire du Match
51 - 2019-11-23260Avalanche5Capitals1WSommaire du Match
55 - 2019-11-27279Avalanche1Penguins4LSommaire du Match
56 - 2019-11-28285Flames4Avalanche2LSommaire du Match
58 - 2019-11-30301Penguins2Avalanche3WSommaire du Match
63 - 2019-12-05323Golden Knights1Avalanche2WXXSommaire du Match
66 - 2019-12-08339Avalanche3Golden Knights2WSommaire du Match
67 - 2019-12-09345Sharks1Avalanche2WSommaire du Match
70 - 2019-12-12361Avalanche4Canadiens1WSommaire du Match
72 - 2019-12-14369Devils-Avalanche-
74 - 2019-12-16381Avalanche-Blue Jackets-
77 - 2019-12-19392Predateurs-Avalanche-
79 - 2019-12-21410Avalanche-Bruins-
81 - 2019-12-23417Islanders-Avalanche-
83 - 2019-12-25432Avalanche-Ducks-
85 - 2019-12-27441Senateurs-Avalanche-
88 - 2019-12-30459Avalanche-Oilers-
90 - 2020-01-01465Avalanche-Lightning-
91 - 2020-01-02473Blackhawks-Avalanche-
93 - 2020-01-04490Avalanche-Oilers-
94 - 2020-01-05497Blackhawks-Avalanche-
98 - 2020-01-09513Oilers-Avalanche-
100 - 2020-01-11526Avalanche-Flyers-
102 - 2020-01-13538Stars-Avalanche-
103 - 2020-01-14545Avalanche-Blues-
106 - 2020-01-17558Oilers-Avalanche-
110 - 2020-01-21580Flames-Avalanche-
113 - 2020-01-24595Avalanche-Stars-
115 - 2020-01-26606Ducks-Avalanche-
117 - 2020-01-28613Avalanche-Predateurs-
119 - 2020-01-30627Avalanche-Panthers-
120 - 2020-01-31635Maple Leafs-Avalanche-
123 - 2020-02-03652Bruins-Avalanche-
125 - 2020-02-05660Avalanche-Flames-
128 - 2020-02-08676Predateurs-Avalanche-
130 - 2020-02-10685Avalanche-Predateurs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14702Stars-Avalanche-
136 - 2020-02-16714Avalanche-Flames-
138 - 2020-02-18725Blues-Avalanche-
140 - 2020-02-20733Avalanche-Maple Leafs-
142 - 2020-02-22747Flyers-Avalanche-
144 - 2020-02-24762Avalanche-Blackhawks-
146 - 2020-02-26771Avalanche-Jets-
148 - 2020-02-28779Capitals-Avalanche-
150 - 2020-03-01793Avalanche-Jets-
152 - 2020-03-03802Avalanche-Senateurs-
153 - 2020-03-04808Jets-Avalanche-
157 - 2020-03-08827Golden Knights-Avalanche-
161 - 2020-03-12846Kings-Avalanche-
162 - 2020-03-13855Avalanche-Kings-
165 - 2020-03-16870Kings-Avalanche-
167 - 2020-03-18877Avalanche-Kings-
169 - 2020-03-20893Capitals-Avalanche-
172 - 2020-03-23906Avalanche-Stars-
173 - 2020-03-24910Avalanche-Sharks-
174 - 2020-03-25922Jets-Avalanche-
175 - 2020-03-26927Avalanche-Sharks-
178 - 2020-03-29941Avalanche-Blackhawks-
181 - 2020-04-01948Canadiens-Avalanche-
185 - 2020-04-05966Avalanche-Blues-
187 - 2020-04-07980Panthers-Avalanche-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets110755042220
Assistance69,40553,33220,23534,17911,288
Attendance PCT77.12%71.11%67.45%56.97%75.25%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
26 12563 - 69.79% 1,501,900$22,528,505$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
33,775,545$ 85,804,166$ 85,804,166$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
85,804,166$ 31,368,109$ 0$ 22 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
39,049,409$ 119 488,382$ 58,117,458$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
59,092,355$ 85,804,166$ -39,353,360$ -59,396,306$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Tyler BertuzziAGE:22PO:70OV:77
J.T. CompherAGE:22PO:74OV:74
Oliver BjorkstrandAGE:22PO:62OV:74
Nikolay GoldobinAGE:21PO:78OV:71
Phil VaroneAGE:26PO:52OV:71
Mathieu JosephAGE:20PO:59OV:68
Henrik BorgstromAGE:20PO:83OV:72
Robert ThomasAGE:18PO:84OV:71
Chris TierneyAGE:23PO:68OV:71
Michael AmadioAGE:21PO:58OV:71
Phil VaroneAGE:26PO:52OV:71
Christian DvorakAGE:21PO:69OV:66
Laurent DauphinAGE:22PO:73OV:65
Patrik BerglundAGE:29PO:63OV:65
Logan BrownAGE:19PO:85OV:62
Tyler BertuzziAGE:22PO:70OV:77
Tom WilsonAGE:23PO:81OV:75
Oliver BjorkstrandAGE:22PO:62OV:74
Corey PerryAGE:32PO:43OV:74
Robert ThomasAGE:18PO:84OV:71
Nikolay GoldobinAGE:21PO:78OV:71
Tyler ToffoliAGE:25PO:61OV:71
Phil VaroneAGE:26PO:52OV:71
Mathieu JosephAGE:20PO:59OV:68

Défense #1Défense #2Gardien
Seth JonesAGE:22PO:86OV:80
Tyler MyersAGE:27PO:69OV:78
Nate SchmidtAGE:26PO:36OV:76
Noah HanifinAGE:20PO:88OV:74
Robert HaggAGE:22PO:72OV:74
Christopher TanevAGE:27PO:35OV:74
Kevan MillerAGE:29PO:27OV:74
Keith YandleAGE:31PO:37OV:73
Christian FolinAGE:26PO:36OV:71
Jacob LarssonAGE:20PO:80OV:66
Brandon DavidsonAGE:26PO:49OV:65
Sergei BobrovskyAGE:29PO:38OV:88
Carter HuttonAGE:31PO:26OV:82
Sam MontembeaultAGE:20PO:68OV:77
Harri SateriAGE:27PO:43OV:73

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Adam BeckmanAvalanche361
Adam FoxAvalanche201666
Alex FormentonAvalanche
Alex GreenAvalanche2018123
Alexander ChmelevskiAvalanche
Bulat ShafigullinAvalanche201868
Igor ShestyorkinAvalanche2014118
Ivan MorozovAvalanche201844
Jack DuganAvalanche
Jack WiseAvalanche2018116
Jacob JosefsonAvalanche
Joel FarabeeAvalanche201816
Jonah GadjovichAvalanche
Jussi JokinenAvalanche
Kole LindAvalanche
Layton AhacAvalanche
Mike FisherAvalanche
Moritz SeiderAvalanche310
Philipp KurashevAvalanche201892
Tyler ParsonsAvalanche
Vladislav KolyachonokAvalanche337

Choix au Repêchage

Année R1R2R3R4R5
4FLA COL COL COL FLA COL COL
5COL FLA COL COL NYI COL COL
6COL FLA COL COL TOR COL COL
7COL FLA COL COL TOR DAL COL COL
8COL COL COL COL COL



[2019-10-15 21:27:52] - New Record for Team's Most Penalties Minutes (25) in 1 Game for Avalanche!
[2019-09-30 21:40:09] - TRADE : From Islanders to Avalanche : Tyler Toffoli (71).
[2019-09-25 21:39:16] - TRADE : From Maple Leafs to Avalanche : Carter Hutton (82).
[2019-09-25 21:38:52] - Rampages hired Jeremy Colliton for 750 000 $ for 3 year(s).
[2019-09-18 19:29:35] - TRADE : From Lightning to Avalanche : Michael Amadio (71), Robert Hagg (74), Sam Montembeault (76).
[2019-09-18 19:29:35] - TRADE : From Avalanche to Lightning : Blake Wheeler (85).
[2019-09-08 22:08:30] - Eric Fehr was released.
[2019-09-08 22:08:30] - Avalanche paid 0 $ to release Eric Fehr.
[2019-09-08 22:08:23] - Drew Stafford was released.
[2019-09-08 22:08:23] - Avalanche paid 0 $ to release Drew Stafford.
[2019-09-08 22:08:09] - Carl Gunnarsson was released.
[2019-09-08 22:08:09] - Avalanche paid 0 $ to release Carl Gunnarsson.
[2019-09-08 21:31:55] - Thomas Greiss was released.
[2019-09-08 21:31:55] - Avalanche paid 0 $ to release Thomas Greiss.
[2019-09-08 21:31:42] - Paul Stastny was released.
[2019-09-08 21:31:42] - Avalanche paid 0 $ to release Paul Stastny.
[2019-09-08 21:31:28] - Nate Thompson was released.
[2019-09-08 21:31:28] - Avalanche paid 0 $ to release Nate Thompson.
[2019-09-08 21:31:16] - Leo Komarov was released.
[2019-09-08 21:31:16] - Avalanche paid 0 $ to release Leo Komarov.
[2019-08-26 22:57:30] - Layton Ahac has been added to Avalanche.
[2019-07-03 23:46:28] - Avalanche drafts Adam Beckman as the #61 overall pick in the Entry Draft of year 3.
[2019-07-03 23:36:04] - Avalanche drafts Vladislav Kolyachonok as the #37 overall pick in the Entry Draft of year 3.
[2019-07-01 15:15:44] - Avalanche drafts Moritz Seider as the #10 overall pick in the Entry Draft of year 3.
[2019-06-01 22:15:51] - Robert Thomas was added to Avalanche.
[2019-06-01 22:15:23] - Robert Thomas has been deleted from Avalanche.
[2019-06-01 22:14:08] - Henrik Borgstrom was added to Avalanche.
[2019-06-01 22:13:48] - Henrik Borgtrom has been deleted from Avalanche.
[2019-05-28 14:15:46] - TRADE : From Stars to Avalanche : Jacob Larsson (66), Logan Brown (63), Keith Yandle (73), Patrik Berglund (66), Y:4-RND:1-FLA, Y:5-RND:1-FLA, Y:6-RND:1-FLA, Y:7-RND:1-FLA, Y:5-RND:3-NYI, Y:6-RND:3-TOR, Y:7-RND:3-TOR, Y:7-RND:3-DAL.
[2019-05-28 14:15:46] - TRADE : From Avalanche to Stars : Leon Draisaitl (86), Mike Hoffman (82).
[2019-05-28 14:13:40] - TRADE : From Panthers to Avalanche : Chris Tierney (72), Oliver Bjorkstrand (75), Y:4-RND:4-FLA.
[2019-05-28 14:13:40] - TRADE : From Avalanche to Panthers : Evander Kane (83).
[2019-05-26 21:53:43] - Dave Camaron contract with Rampages has ended.
[2019-05-20 21:42:50] - Rampages was eliminated at round 3 of year 2.
[2019-04-17 21:20:35] - Avalanche was eliminated at round 1 of year 2.



[2019-12-12 18:18:49] Current fund for Avalanche is under 0 $.
[2019-12-12 18:18:26] Last 7 Days Farm Star : 1 - Matt Nieto of Reigh (6-6-12) / 2 - Kevin Roy of Sound Tigers (7-4-11) / 3 - Laurent Dauphin of Rampages (5-8-13)
[2019-12-11 19:33:18] Current fund for Avalanche is under 0 $.
[2019-12-09 21:39:48] Current fund for Avalanche is under 0 $.
[2019-12-09 00:20:12] Current fund for Avalanche is under 0 $.
[2019-12-07 20:07:17] Michael Amadio from Rampages has scored a Hat Trick!
[2019-12-06 22:54:07] Current fund for Avalanche is under 0 $.
[2019-12-05 11:57:53] Current fund for Avalanche is under 0 $.
[2019-12-05 11:57:10] Current fund for Avalanche is under 0 $.
[2019-12-05 11:57:08] Successfully loaded Avalanche lines done with STHS Client - 3.2.0.0
[2019-12-05 11:57:04] Current fund for Avalanche is under 0 $.
[2019-12-05 11:56:36] Auto Lines Function has been run for Avalanche.
[2019-12-05 11:56:36] Auto Roster Partial Function has been run for Avalanche.
[2019-12-04 13:04:08] Current fund for Avalanche is under 0 $.
[2019-12-04 13:03:40] Rampages lines for next game are empty. Current rosters/lines are not erased.
[2019-12-04 13:03:40] Mathieu Joseph from Rampages has scored a Hat Trick!
[2019-12-04 13:03:40] Laurent Dauphin from Rampages has scored a Hat Trick!
[2019-12-03 20:35:52] Current fund for Avalanche is under 0 $.
[2019-12-02 11:46:47] Current fund for Avalanche is under 0 $.
[2019-12-02 11:46:25] Last 30 Days Farm Star : 1 - Michael Amadio of Rampages (23-21-44) / 2 - Mark Letestu of Sound Tigers (19-32-51) / 3 - Tom Pyatt of Sound Tigers (21-20-41)
[2019-12-01 18:48:12] Current fund for Avalanche is under 0 $.
[2019-12-01 18:47:46] Sergei Bobrovsky from Avalanche is back from Exhaustion.
[2019-12-01 18:47:46] Rampages lines for next game are empty. Current rosters/lines are not erased.
[2019-12-01 18:47:46] Michael Amadio from Rampages has scored a Hat Trick!
[2019-11-30 20:01:42] Current fund for Avalanche is under 0 $.
[2019-11-30 20:00:51] Avalanche lines for next game are empty. Current rosters/lines are not erased.
[2019-11-30 20:00:50] Sergei Bobrovsky from Avalanche injured (Exhaustion)
[2019-11-29 14:08:29] Current fund for Avalanche is under 0 $.
[2019-11-28 12:42:07] Current fund for Avalanche is under 0 $.
[2019-11-28 12:41:22] Rampages lines for next game are empty. Current rosters/lines are not erased. But, Avalanche lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-11-28 12:41:22] Last 7 Days Farm Star : 1 - Michael Amadio of Rampages (8-3-11) / 2 - Laurent Dauphin of Rampages (8-4-12) / 3 - Cal Clutterbuck of Stars (7-6-13)
[2019-11-28 12:41:22] Michael Amadio from Rampages has scored a Hat Trick!



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
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
33013100214083794159400020443681546021203943-4398313722000222629810033173343482410433172546021242419.35%1182380.51%237078047.44%40281449.39%20142747.07%624342655287543271
Total Saison Régulière3013100214083794159400020443681546021203943-4398313722000222629810033173343482410433172546021242419.35%1182380.51%237078047.44%40281449.39%20142747.07%624342655287543271
Séries
251400000812-42020000036-33120000056-128122000530014348524301817144852015.00%22386.36%25612544.80%7916248.77%315754.39%10157118468340
Total Séries51400000812-42020000036-33120000056-128122000530014348524301817144852015.00%22386.36%25612544.80%7916248.77%315754.39%10157118468340