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Avalanche
GP: 82 | W: 42 | L: 33 | OTL: 7 | P: 91
GF: 274 | GA: 250 | PP%: 17.11% | PK%: 80.41%
DG: Bernard Martel | Morale : 66 | Moyenne d’équipe : 66

Centre de jeu
Avalanche
42-33-7, 91pts
3
2 Oilers
33-38-11, 77pts
Team Stats
W3SéquenceL1
23-15-3Fiche domicile16-19-6
19-18-4Fiche domicile17-19-5
6-4-0Derniers 10 matchs1-7-2
3.34Buts par match 3.07
3.05Buts contre par match 3.33
17.11%Pourcentage en avantage numérique20.76%
80.41%Pourcentage en désavantage numérique83.20%
Avalanche
42-33-7, 91pts
3
1 Ducks
45-33-4, 94pts
Team Stats
W3SéquenceW1
23-15-3Fiche domicile23-15-3
19-18-4Fiche domicile22-18-1
6-4-0Derniers 10 matchs7-3-0
3.34Buts par match 3.27
3.05Buts contre par match 3.18
17.11%Pourcentage en avantage numérique17.11%
80.41%Pourcentage en désavantage numérique86.97%
Meneurs d'équipe
Buts
Juraj Slafkovsky
43
Passes
Mason Marchment
51
Points
Juraj Slafkovsky
88
Plus/Moins
Mason Marchment
33
Victoires
Edward Pasquale
34
Pourcentage d’arrêts
Jhonas Enroth
0.916

Statistiques d’équipe
Buts pour
274
3.34 GFG
Tirs pour
2663
32.48 Avg
Pourcentage en avantage numérique
17.1%
39 GF
Début de zone offensive
39.5%
Buts contre
250
3.05 GAA
Tirs contre
2614
31.88 Avg
Pourcentage en désavantage numérique
80.4%%
38 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur généralBernard Martel
EntraîneurPeter DeBoer
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,976
Billets de saison1,800


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite Contrat56 / 68
Espoirs29


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
1Dominik Kahun (R)X100.001739972698886877188808372908821797503032,000,000$
2Mason Marchment (R)X100.0075576775858684855085807525817664807503032,000,000$
3Will Cuylle (R)X100.008463738389868085507880752584614971752241828,333$
4Juraj Slafkovsky (R)X100.008155727692878085508080722581614979742221950,000$
5Logan Stankoven (R)X100.007140919172867885707876712584594976742232814,167$
6Michael Amadio (R)X100.0080409175808588775875727525848269767302911,500,000$
7Evgeny Svechnikov (R)X100.0082517774787885705171687125798561777002911,000,000$
8Connor Dewar (R)X100.008363748370797873706968742583654262700263900,000$
9Mitchell Stephens (R)X100.006540827380787666816261662582796476660291575,000$
10Joakim Nygard (R)X100.00232997270498472497269536493851868640331800,000$
11Ben Meyers (R)X100.006640817274786965596061642577664273632271912,500$
12Matt Luff (R)X100.005233806775596255406460722565604462600292575,000$
13Zach Whitecloud (R)X100.0076557576838685774073709325798162697702912,000,000$
14Jacob Bryson (R)X100.0060398879698375744082769325786749647402821,500,000$
15Sam Malinski (R)X100.007340928477857878407169812578594964732272850,000$
16Dakota Mermis (R)X100.005942707273757767407369732575785461680322800,000$
17Jacob MacDonald (R)X100.0075546973757877674064626725828347736803311,000,000$
18Jack St. Ivany (R)X100.006645727385856366406160712567594942662262857,500$
Rayé
1Daniel Carr (R)X100.00389996574717757635756626599913618610343575,000$
2Juho Lammikko (R)X100.006032996677477852736260622587825119610301575,000$
3Adam CracknellX100.00462183637727517088666462699996719610403575,000$
4Brett Seney (R)X100.005348627258696866536662632567584919610301575,000$
5Joel Kellman (R)X100.005320996673507259786058676386812319610312575,000$
6Yegor Korshkov (R)X100.004221997473537558575356685979766619600291575,000$
7Josh Dunne (R)X100.006544656269686663606155622560545019591271874,125$
8Nikita Prishchepov (R)X100.006343666564626060435954602560505019570223806,667$
9Ondrej Pavel (R)X100.006448616266666461435754602559525019570253870,000$
10Jere Innala (R)X100.005441736556686662435659552562555020570283870,000$
11Joona Luoto (R)X100.005432816576596454344849592566584520552281750,000$
12Carter Mazur (R)X100.005940706563605759425354542559515020550243905,833$
13Callahan Burke (R)X100.005340746360706861425455502560585019550292575,000$
14Brayden Tracey (R)X100.006457977370243036552727584249494519440243575,000$
15Jacob Bernard-Docker (R)X89.846045797581837570406665732571715967692251925,000$
16Calle Rosen (R)X100.004828997772818168406164632585855520660322900,000$
17Victor Antipin (R)X100.00171997369597176307065735287762118640331700,000$
MOYENNE D’ÉQUIPE99.69593882727470726852656368337670474665
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
1Edward Pasquale (R)99.008271848082979997968173738829808403521,250,000$
2Jhonas Enroth100.007875607170999999998190999914808303721,750,000$
Rayé
1Yaroslav Askarov (R)100.00817473777681808082775072605320751231925,000$
MOYENNE D’ÉQUIPE99.6780737276769293929280718182326081
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer7788928383781CAN563900,000$


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
1Juraj SlafkovskyAvalanche (COL)RW824345882564201941172979518514.48%40151218.458715341790000227245.56%905727011.1600112654
2Mason MarchmentAvalanche (COL)LW823251833394501581252907817711.03%35151418.474481812200041484143.81%1058721001.1003046744
3Dominik KahunAvalanche (COL)LW78374582600421463016916212.29%39165621.24812204720200021659150.75%3985133010.9904000683
4Logan StankovenAvalanche (COL)RW8040428231351381063247117312.35%26150118.7661117361801013446250.52%978628011.0900001483
5Connor DewarAvalanche (COL)C781741582415280141152100346617.00%33133617.142578144000013050.43%14972318000.8700259214
6Michael AmadioAvalanche (COL)C791836544120178177134336613.43%32150619.075813202030001230145.80%18342132010.7200000227
7Will CuylleAvalanche (COL)LW82252550-13461016887258751599.69%31125915.3612334701161165243.24%747125000.7924011622
8Evgeny SvechnikovAvalanche (COL)RW82182240-93315121771656511410.91%28112913.78022226000013037.01%1273616100.7100012224
9Jacob BrysonAvalanche (COL)D8132831121808716312444492.42%102189623.41268242310001176100%04754000.3300000011
10Sam MalinskiAvalanche (COL)D72327308959413010045443.00%94155721.6423571530000113000%02645000.3900100012
11Joakim NygardAvalanche (COL)LW82141024000541128428710.94%147028.57000001012722032.65%49315000.6800000140
12Mitchell StephensAvalanche (COL)C8241317-1680681237238425.56%19107613.12000019000040056.99%7581314000.3200000000
13Zach WhitecloudAvalanche (COL)D6011617157430126996830291.47%73137822.9705561600110124000%02545000.2500312001
14Jacob Bernard-DockerAvalanche (COL)D641161722542057965622171.79%59127319.900004102000164000%0640000.2711310101
15Jacob MacDonaldAvalanche (COL)D8211415-263151431126526191.54%65157419.20011797000073000%0844000.1900030012
16Ben MeyersAvalanche (COL)C795611140465349153010.20%106077.69000000000160145.64%2411019000.3600000101
17Dakota MermisAvalanche (COL)D742810-1441074745824263.45%73120316.2610118011036000%01041000.1700011001
18Jack St. IvanyAvalanche (COL)D492810-425561443017136.67%5177115.7500011000021000%0629000.2600100000
19Matt LuffAvalanche (COL)RW743581100283920112215.00%85327.2000004000000040.00%15218000.3000000000
20Adam CracknellAvalanche (COL)RW93032003273742.86%1535.970000100000010%102001.1200000010
21Joel KellmanAvalanche (COL)C110112001115030%2635.8100000000010050.00%2601000.3100000000
22Daniel CarrAvalanche (COL)RW4000000011000%1174.420000000001000%10000000000000
23Victor AntipinAvalanche (COL)D2000000000000%000.100000000000000%00000000000000
24Juho LammikkoAvalanche (COL)C2000000010100%010.790000000001000%10000000000000
25Calle Rosen Avalanche (COL)D14000-70041111610%1022616.150000000009000%00600000000000
26Jere InnalaAvalanche (COL)LW3000100010010%1227.410000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1487272459731107723265193719882663844149210.21%8472437716.3939661052181890235201237401148.72%5314616563140.60312111824384040
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
1Edward PasqualeAvalanche (COL)69342760.9043.024071002052143902330.50066913641
2Jhonas EnrothAvalanche (COL)168610.9162.678760039467195310.66761369110
Statistiques d’équipe totales ou en moyenne85423370.9072.964947002442610109764128282751


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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 CracknellAvalanche (COL)RW401985-07-15CANNo209 Lbs6 ft3NoNoFree AgentNoNo32025-09-20FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Ben MeyersAvalanche (COL)C271998-11-15USAYes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm912,500$4,656$0$0$No---------------------------
Brayden TraceyAvalanche (COL)LW242001-05-28CANYes176 Lbs6 ft0NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Brett SeneyAvalanche (COL)C301996-02-28CANYes167 Lbs5 ft9NoNoN/ANoNo12025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Callahan BurkeAvalanche (COL)C291997-03-24USAYes183 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-03FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Calle Rosen Avalanche (COL)D321994-02-02SWEYes186 Lbs6 ft1NoNoN/ANoNo22024-09-12FalseFalsePro & Farm900,000$4,592$0$0$No900,000$-----------------No--------
Carter MazurAvalanche (COL)LW242002-03-28USAYes179 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-07FalseFalsePro & Farm905,833$4,622$0$0$No905,833$905,833$-------905,833$905,833$-------NoNo-------
Connor DewarAvalanche (COL)C261999-06-26CANYes192 Lbs5 ft10NoNoN/ANoNo32025-08-10FalseFalsePro & Farm900,000$4,592$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Dakota MermisAvalanche (COL)D321994-01-05USAYes196 Lbs6 ft0NoNoN/ANoNo22024-09-12FalseFalsePro & Farm800,000$4,082$0$0$No800,000$-----------------No--------
Daniel CarrAvalanche (COL)RW341991-10-31CANYes194 Lbs6 ft0NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Dominik KahunAvalanche (COL)LW301995-07-02CZEYes175 Lbs5 ft11NoNoN/ANoNo32025-08-10FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Edward PasqualeAvalanche (COL)G351990-11-20CANYes215 Lbs6 ft2NoNoTrade2024-02-25NoNo22024-10-04FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$-----------------No--------
Evgeny SvechnikovAvalanche (COL)RW291996-10-31RUSYes208 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$5,102$0$0$No---------------------------
Jack St. IvanyAvalanche (COL)D261999-07-22USAYes205 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm857,500$4,375$0$0$No857,500$--------857,500$--------No--------
Jacob Bernard-Docker (sur la masse salariale)Avalanche (COL)D252000-06-30CANYes198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Jacob BrysonAvalanche (COL)D281997-11-18CANYes174 Lbs5 ft9NoNoN/ANoNo22024-09-12FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Jacob MacDonaldAvalanche (COL)D331993-02-26USAYes204 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$5,102$0$0$No---------------------------
Jere InnalaAvalanche (COL)LW281998-03-17FINYes174 Lbs5 ft10NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm870,000$4,439$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Jhonas EnrothAvalanche (COL)G371988-06-25SWENo174 Lbs5 ft10NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm1,750,000$8,929$0$0$No1,750,000$--------1,750,000$--------No--------
Joakim NygardAvalanche (COL)LW331993-01-08SWEYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$4,082$0$0$No---------------------------
Joel KellmanAvalanche (COL)C311994-05-25SWEYes192 Lbs5 ft11NoNoN/ANoNo22024-09-12FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Joona LuotoAvalanche (COL)LW281997-09-26FINYes201 Lbs6 ft3NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm750,000$3,827$0$0$No---------------------------
Josh DunneAvalanche (COL)C271998-12-08USAYes209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm874,125$4,460$0$0$No---------------------------
Juho LammikkoAvalanche (COL)C301996-01-29FINYes203 Lbs6 ft3NoNoTrade2024-12-22NoNo12025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Juraj SlafkovskyAvalanche (COL)RW222004-03-30SVKYes225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,847$0$0$No---------------------------
Logan StankovenAvalanche (COL)RW232003-02-26CANYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm814,167$4,154$0$0$No814,167$--------814,167$--------No--------
Mason MarchmentAvalanche (COL)LW301995-06-18CANYes212 Lbs6 ft5NoNoN/ANoNo32025-08-10FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Matt LuffAvalanche (COL)RW291997-05-05CANYes196 Lbs6 ft2NoNoN/ANoNo22025-08-10FalseFalsePro & Farm575,000$2,934$0$0$No575,000$--------575,000$--------No--------
Michael AmadioAvalanche (COL)C291996-05-13CANYes199 Lbs6 ft1NoNoN/ANoNo12024-09-12FalseFalsePro & Farm1,500,000$7,653$0$0$No---------------------------
Mitchell StephensAvalanche (COL)C291997-02-05CANYes203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Nikita PrishchepovAvalanche (COL)C222004-02-20RUSYes187 Lbs6 ft1NoNoAssign ManuallyNoNo32025-10-05FalseFalsePro & Farm806,667$4,116$0$0$No806,667$806,667$-------806,667$806,667$-------NoNo-------
Ondrej PavelAvalanche (COL)C252000-08-29CZEYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-04FalseFalsePro & Farm870,000$4,439$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Sam MalinskiAvalanche (COL)D271998-07-27USAYes190 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm850,000$4,337$0$0$No850,000$--------850,000$--------No--------
Victor AntipinAvalanche (COL)D331992-12-06KAZYes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,571$0$0$No---------------------------
Will CuylleAvalanche (COL)LW242002-02-05CANYes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm828,333$4,226$0$0$No---------------------------
Yaroslav AskarovAvalanche (COL)G232002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,719$0$0$No---------------------------
Yegor KorshkovAvalanche (COL)RW291996-07-10RUSYes181 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Zach WhitecloudAvalanche (COL)D291996-11-28CANYes218 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3828.74193 Lbs6 ft11.82947,082$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunMichael AmadioLogan Stankoven35122
2Mason MarchmentConnor DewarJuraj Slafkovsky35122
3Will CuylleMitchell StephensEvgeny Svechnikov25122
4Joakim NygardBen MeyersMatt Luff5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson35122
2Sam MalinskiJacob MacDonald35122
3Dakota MermisJack St. Ivany30122
4Zach WhitecloudJacob Bryson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunMichael AmadioLogan Stankoven60122
2Mason MarchmentConnor DewarJuraj Slafkovsky40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob MacDonald40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunMason Marchment60122
2Will CuylleLogan Stankoven40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob MacDonald40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominik Kahun60122Zach WhitecloudJacob Bryson60122
2Mason Marchment40122Sam MalinskiJacob MacDonald40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunMason Marchment60122
2Will CuylleLogan Stankoven40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob MacDonald40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunMichael AmadioLogan StankovenZach WhitecloudJacob Bryson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunMichael AmadioLogan StankovenZach WhitecloudJacob Bryson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Svechnikov, Mitchell Stephens, Joakim NygardEvgeny Svechnikov, Mitchell StephensJoakim Nygard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dakota Mermis, Jack St. Ivany, Sam MalinskiDakota MermisJack St. Ivany, Sam Malinski
Tirs de pénalité
Dominik Kahun, Mason Marchment, Will Cuylle, Logan Stankoven, Juraj Slafkovsky
Gardien
#1 : Edward Pasquale, #2 : Jhonas Enroth
Lignes d’attaque personnalisées en prolongation
Dominik Kahun, Mason Marchment, Will Cuylle, Logan Stankoven, Juraj Slafkovsky, Michael Amadio, Connor Dewar, Evgeny Svechnikov, Mitchell Stephens, Joakim Nygard
Lignes de défense personnalisées en prolongation
Zach Whitecloud, Jacob Bryson, Sam Malinski, Jacob MacDonald, Dakota Mermis


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
TotalDomicile Visiteur
# 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 RI
1Blackhawks633000002124-332100000810-2312000001314-160.500213758008810176919890693280630193577214327829.63%21480.95%01073208451.49%923194847.38%593124247.75%1790108317947051369681R5
2Blues623000012119231100001121113120000098150.417213859108810176919190693280630166728912620315.00%22481.82%01073208451.49%923194847.38%593124247.75%1790108317947051369681R5
3Bruins2020000026-41010000014-31010000012-100.000224008810176971906932806306420252000%10100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
4Canadiens21100000853110000006241010000023-120.500810180088101769679069328063067230516116.67%000%01073208451.49%923194847.38%593124247.75%1790108317947051369681
5Canucks413000001014-42020000038-52110000076120.2501017270088101769134906932806301473131956233.33%8275.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
6Capitals211000009631010000034-11100000062420.50091726008810176974906932806305022751300.00%10100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
7Devils311010001082100010005412110000054140.66710162600881017699390693280630973815885240.00%5180.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
8Ducks41300000710-32020000037-42110000043120.25071118208810176910290693280630130465298800.00%11190.91%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
9Flames4100111016124210000109542000110077070.8751626420088101769136906932806301234219838112.50%7271.43%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
10Flyers21001000743100010003211100000042241.00071219008810176971906932806307414256200.00%10100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
11Islanders220000001477110000008351100000064241.00014213500881017697390693280630622620484250.00%5180.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
12Kings42100100171432110000010912100010075250.62517304700881017691319069328063012534161001500.00%8275.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
13Maple Leafs21000100871110000006421000010023-130.750814220088101769749069328063062175435120.00%000%01073208451.49%923194847.38%593124247.75%1790108317947051369681
14Oilers4200200018992100100010462100100085381.00018294700881017691479069328063011837318212433.33%13376.92%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
15Penguins2010000137-41000000112-11010000025-310.2503690088101769669069328063067261153000%3166.67%01073208451.49%923194847.38%593124247.75%1790108317947051369681
16Predators6220200025214320010001578302010001014-480.6672546711088101769201906932806301846612713332515.63%16475.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681R5
17Rangers22000000844110000004311100000041341.00081422008810176964906932806307135243000%10100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
18Red Wings32100000990110000003122110000068-240.66791726008810176989906932806301053410543133.33%50100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
19Sabres21000100440110000003211000010012-130.7504711008810176972906932806306922441100.00%20100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
20Senateurs2020000046-21010000023-11010000023-100.00047110088101769729069328063069142354700.00%40100.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681
21Sharks42200000911-2211000005502110000046-240.50091423008810176912890693280630150413694800.00%8187.50%01073208451.49%923194847.38%593124247.75%1790108317947051369681R2
22Stars83400010302645220001018144312000001212080.500304575008810176923490693280630242849919337513.51%27677.78%21073208451.49%923194847.38%593124247.75%1790108317947051369681
23Wild623001001417-330200100510-53210000097250.417142337008810176917590693280630179465015619421.05%25676.00%01073208451.49%923194847.38%593124247.75%1790108317947051369681R5
Total82333307522274250244117150412214312419411618034001311265910.5552744597334088101769266390693280630261484772319372283917.11%1943880.41%21073208451.49%923194847.38%593124247.75%1790108317947051369681
_Since Last GM Reset82333307522274250244117150412214312419411618034001311265910.5552744597334088101769266390693280630261484772319372283917.11%1943880.41%21073208451.49%923194847.38%593124247.75%1790108317947051369681
_Vs Conference562124053211881771129111202121989082710120320090873600.5361883165044088101769177790693280630175755662213031923216.67%1663578.92%21073208451.49%923194847.38%593124247.75%1790108317947051369681
_Vs Division321215021111111074177601111585261559010005355-2320.5001111893002088101769999906932806309643254377511352518.52%1112478.38%21073208451.49%923194847.38%593124247.75%1790108317947051369681

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8291W327445973326632614847723193740
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233337522274250
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4117154122143124
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4116183400131126
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2283917.11%1943880.41%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
9069328063088101769
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
1073208451.49%923194847.38%593124247.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1790108317947051369681


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
14Stars2Avalanche3WXXR5Sommaire du match
414Avalanche2Blues3LR5Sommaire du match
627Blackhawks3Avalanche4WSommaire du match
1153Stars1Avalanche2WR5Sommaire du match
1361Avalanche1Wild3LR5Sommaire du match
1674Blues3Avalanche2LXXSommaire du match
1992Avalanche3Predators2WXR5Sommaire du match
2099Stars2Avalanche6WSommaire du match
25121Wild4Avalanche2LR5Sommaire du match
26123Avalanche4Blackhawks6LSommaire du match
30143Avalanche8Stars3WR5Sommaire du match
31151Avalanche3Red Wings6LSommaire du match
33159Ducks3Avalanche1LR2Sommaire du match
35175Flames2Avalanche5WR2Sommaire du match
40195Oilers3Avalanche4WXSommaire du match
42209Avalanche2Stars5LR5Sommaire du match
43216Stars4Avalanche3LSommaire du match
46226Avalanche3Red Wings2WSommaire du match
48242Canucks5Avalanche1LR2Sommaire du match
54265Canucks3Avalanche2LSommaire du match
57284Avalanche6Capitals2WSommaire du match
59289Blackhawks1Avalanche2WR5Sommaire du match
61303Avalanche5Canucks2WR2Sommaire du match
63313Sharks1Avalanche3WR2Sommaire du match
65326Avalanche6Islanders4WSommaire du match
66337Penguins2Avalanche1LXXSommaire du match
69354Avalanche1Bruins2LSommaire du match
72363Kings3Avalanche6WR2Sommaire du match
77386Blues2Avalanche6WSommaire du match
79400Avalanche3Flames4LXR2Sommaire du match
81410Predators1Avalanche6WSommaire du match
83423Avalanche4Rangers1WSommaire du match
85432Avalanche4Devils2WSommaire du match
86435Sabres2Avalanche3WSommaire du match
90450Avalanche2Canucks4LR2Sommaire du match
91459Blackhawks6Avalanche2LSommaire du match
95478Avalanche3Wild2WR5Sommaire du match
96482Blues6Avalanche4LSommaire du match
101502Avalanche2Senateurs3LSommaire du match
102507Maple Leafs4Avalanche6WSommaire du match
105529Islanders3Avalanche8WSommaire du match
107542Avalanche5Predators7LR5Sommaire du match
108551Avalanche6Kings3WR2Sommaire du match
109555Bruins4Avalanche1LSommaire du match
112570Avalanche5Wild2WR5Sommaire du match
113579Rangers3Avalanche4WSommaire du match
116598Avalanche1Sabres2LXSommaire du match
117602Flames3Avalanche4WXXR2Sommaire du match
122622Avalanche1Kings2LXR2Sommaire du match
123627Capitals4Avalanche3LSommaire du match
127650Flyers2Avalanche3WXSommaire du match
129659Avalanche6Blues2WR5Sommaire du match
131673Avalanche2Canadiens3LSommaire du match
132675Oilers1Avalanche6WR2Sommaire du match
137698Kings6Avalanche4LR2Sommaire du match
139707Avalanche2Maple Leafs3LXSommaire du match
141722Predators2Avalanche4WR5Sommaire du match
143733Avalanche6Blackhawks4WR5Sommaire du match
146744Avalanche1Devils2LSommaire du match
147749Stars5Avalanche4LR5Sommaire du match
151770Red Wings1Avalanche3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153784Avalanche4Flames3WXR2Sommaire du match
155794Ducks4Avalanche2LSommaire du match
157804Avalanche4Flyers2WSommaire du match
159818Sharks4Avalanche2LR2Sommaire du match
164842Wild3Avalanche1LSommaire du match
166857Avalanche1Ducks2LR2Sommaire du match
169866Predators4Avalanche5WXSommaire du match
171877Avalanche3Blackhawks4LR5Sommaire du match
173890Wild3Avalanche2LXR5Sommaire du match
175900Avalanche2Predators5LSommaire du match
177912Senateurs3Avalanche2LSommaire du match
178916Avalanche1Sharks4LR2Sommaire du match
180920Avalanche5Oilers3WSommaire du match
182936Avalanche2Stars4LR5Sommaire du match
183938Avalanche3Sharks2WR2Sommaire du match
184939Devils4Avalanche5WXSommaire du match
185945Avalanche2Penguins5LSommaire du match
186954Avalanche1Blues3LR5Sommaire du match
189963Canadiens2Avalanche6WSommaire du match
190966Avalanche3Oilers2WXR2Sommaire du match
191969Avalanche3Ducks1WR2Sommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance81,38540,636
Assistance PCT99.25%99.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
0 2976 - 99.20% 127,242$5,216,905$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,409,867$ 3,506,413$ 3,506,413$ 900,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,514,428$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 22,482$ 22,482$




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