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Avalanche
GP: 27 | W: 15 | L: 12
GF: 83 | GA: 68 | PP%: 13.64% | PK%: 83.10%
DG: Bernard Martel | Morale : 83 | Moyenne d’équipe : 66

Centre de jeu
Flyers
16-11-0, 32pts
2
3 Avalanche
15-12-0, 30pts
Team Stats
W1SéquenceOTL1
7-7-0Fiche domicile6-6-0
9-4-0Fiche domicile9-6-0
6-2-2Derniers 10 matchs5-4-1
3.48Buts par match 3.07
3.07Buts contre par match 2.52
20.45%Pourcentage en avantage numérique13.64%
81.67%Pourcentage en désavantage numérique83.10%
Avalanche
15-12-0, 30pts
2
3 Flyers
16-11-0, 32pts
Team Stats
OTL1SéquenceW1
6-6-0Fiche domicile7-7-0
9-6-0Fiche domicile9-4-0
5-4-1Derniers 10 matchs6-2-2
3.07Buts par match 3.48
2.52Buts contre par match 3.07
13.64%Pourcentage en avantage numérique20.45%
83.10%Pourcentage en désavantage numérique81.67%
Meneurs d'équipe
Buts
Dominik Kahun
15
Passes
Dominik Kahun
17
Points
Dominik Kahun
32
Plus/Moins
Will Cuylle
15
Victoires
Edward Pasquale
11
Pourcentage d’arrêts
Jhonas Enroth
0.929

Statistiques d’équipe
Buts pour
83
3.07 GFG
Tirs pour
885
32.78 Avg
Pourcentage en avantage numérique
13.6%
9 GF
Début de zone offensive
38.8%
Buts contre
68
2.52 GAA
Tirs contre
897
33.22 Avg
Pourcentage en désavantage numérique
83.1%%
12 GA
Début de la zone défensive
38.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,800


Informations de la formation

Équipe Pro38
Équipe Mineure18
Limite Contrat56 / 68
Espoirs29


Historique d'équipe

Saison actuelle15-12
Historique85-65-18 (0.506%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)15 - 12 (0.556%)
Coupe Stanley0


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)X100.001739972698886877188808372918821827503032,000,000$
2Mason Marchment (R)X100.0075576775858684855085807425827763847503132,000,000$
3Juraj Slafkovsky (R)X100.008155727692878085508179722582624884752221950,000$
4Will Cuylle (R)X100.008463738389868085507880752585624884752241828,333$
5Logan Stankoven (R)X99.907140919172867885707876712585604885742232814,167$
6Michael Amadio (R)X100.0081409175808588775876727525858368847303011,500,000$
7Evgeny Svechnikov (R)X100.0082517774787885705171687125808560837002911,000,000$
8Connor Dewar (R)X100.008363748370797872706967732583664284700273900,000$
9Mitchell Stephens (R)X100.006540837380787666816261672583806382660291575,000$
10Joakim Nygard (R)X100.00232997270498472497169526493861783640331800,000$
11Ben Meyers (R)X100.006640817274786964596061642578674184632271912,500$
12Daniel Carr (R)X100.00389996574717757635755626599913626610343575,000$
13Zach Whitecloud (R)X100.0076557576838685774073709325798162847702912,000,000$
14Jacob Bryson (R)X100.0060398879698375744082769325786849837402821,500,000$
15Sam Malinski (R)X100.007340928477857878407169812579594884732272850,000$
16Jacob Bernard-Docker (R)X100.006045797581837570406664732571715983692251925,000$
17Dakota Mermis (R)X100.005942707273757767407269732575795484680322800,000$
18Jacob MacDonald (R)X100.0075546973757877674063626725828346836803311,000,000$
Rayé
1Juho Lammikko (R)X100.006032996677477852736260622587825125610301575,000$
2Adam CracknellX100.00462183637727517088666462699996721610403575,000$
3Brett Seney (R)X100.005348627258696866536662632567584922610301575,000$
4Joel Kellman (R)X100.005320996673507259786058676386812321610322575,000$
5Matt Luff (R)X100.005233806775596255406460712565604477600292575,000$
6Yegor Korshkov (R)X100.004221997473537558575355685979766620600291575,000$
7Josh Dunne (R)X100.006544656269686663606155622560545021591271874,125$
8Nikita Prishchepov (R)X100.006343666564626060435954602560505019570223806,667$
9Ondrej Pavel (R)X100.006448616266666461435754602559525021570253870,000$
10Jere Innala (R)X100.005441736556686662435659552562555022570283870,000$
11Joona Luoto (R)X100.005432816576596454344849592566584522552281750,000$
12Carter Mazur (R)X100.005940706563605759425354542559515020550243905,833$
13Callahan Burke (R)X100.005340746360706861425455502560585019550292575,000$
14Brayden Tracey (R)X100.006457977370243036552727584249494519440253575,000$
15Calle Rosen (R)X100.004828997772818168406164632585855522660322900,000$
16Jack St. Ivany (R)X100.006645727385856366406160712567594959662262857,500$
17Victor Antipin (R)X100.00171997369597176307065735287762122640331700,000$
MOYENNE D’ÉQUIPE99.97593882727470726852656368337770475465
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
1Jhonas Enroth100.007875607170999999998190999914838303821,750,000$
Rayé
1Edward Pasquale (R)96.008271848082989998978173738829818503521,250,000$
2Yaroslav Askarov (R)100.00817473777681808082775072605330751241925,000$
MOYENNE D’ÉQUIPE98.6780737276769393929380718182326581
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
1Dominik KahunAvalanche (COL)LW26151732700125299377315.15%1255521.3805515580003644152.63%152138011.1500000241
2Will CuylleAvalanche (COL)LW26121022152715472679266015.19%1238414.790001100003372139.13%23205001.1400120321
3Michael AmadioAvalanche (COL)C2771421320435960153411.67%1352019.292577600000131043.52%648916000.8100000002
4Juraj SlafkovskyAvalanche (COL)RW2771320026081328928517.87%1652119.3242615600000170242.22%45207000.7700000013
5Logan StankovenAvalanche (COL)RW2312820555322997244312.37%339617.23112540000041048.15%27267101.0101010200
6Mason MarchmentAvalanche (COL)LW2671219-125529368931717.87%1148518.660110340002481035.48%31169000.7800010301
7Evgeny SvechnikovAvalanche (COL)RW27981711275473064124214.06%1238614.3100009000003037.50%32104000.8800001120
8Connor DewarAvalanche (COL)C26312153201063533415188.82%944517.15000244000012046.70%45468000.6700110111
9Mitchell StephensAvalanche (COL)C262791210020422915206.90%1232812.6400006000000053.95%22834000.5500000000
10Sam MalinskiAvalanche (COL)D2709990035422921140%2856921.11011043000146000%01127000.3200000001
11Jacob BrysonAvalanche (COL)D2726844034465020174.00%4364723.98213770000168100%01418000.2500000010
12Zach WhitecloudAvalanche (COL)D22167-319532372614203.85%3352123.68000353000051000%0719000.2700001001
13Joakim NygardAvalanche (COL)LW27235-1002124216394.76%62529.36000130001280127.27%1163000.4000000001
14Jacob MacDonaldAvalanche (COL)D2704452010402918750%3348217.87000018000013000%0717000.1700011001
15Ben MeyersAvalanche (COL)C27213-10019192071010.00%72428.9800000000060041.49%9434000.2500000000
16Matt LuffAvalanche (COL)RW2111200011773714.29%61507.1500001000000050.00%213000.2700000000
17Dakota MermisAvalanche (COL)D2702215120244417390%2743216.030000000006000%0315000.0900000000
18Jack St. IvanyAvalanche (COL)D1002230012122270%714214.210000000003000%014000.2800000000
19Daniel CarrAvalanche (COL)RW6011-100111120%1538.910000000000000%000000.3700000000
20Juho LammikkoAvalanche (COL)C3101-1000250220.00%13210.7200000000000050.00%800000.6200000000
21Jacob Bernard-DockerAvalanche (COL)D220113601932267100%3446120.96000034000030000%0312000.0400000000
22Victor AntipinAvalanche (COL)D1000000000000%011.620000000000000%00000000000000
23Brett SeneyAvalanche (COL)C1000100301010%01717.600000000000000%30100000000000
24Calle Rosen Avalanche (COL)D1000000011000%21818.900000000000000%00100000000000
25Yegor KorshkovAvalanche (COL)RW4000-100110000%0205.100000000000000%10000000000000
26Joona LuotoAvalanche (COL)LW1000000000000%011.050000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne4888313722087203556076448853045559.38%328807216.5491625565510001144315545.94%1759179192110.5501263121113
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)2111720.9242.43123621506572741100216222
2Jhonas EnrothAvalanche (COL)74300.9292.5639900172391010000620220
Statistiques d’équipe totales ou en moyenne28151020.9252.46163621678963751102726442


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$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Ben MeyersAvalanche (COL)C271998-11-15USAYes194 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm912,500$0$0$No---------------------------
Brayden TraceyAvalanche (COL)LW252001-05-28CANYes176 Lbs6 ft0NoNoN/ANoNo32025-08-10FalseFalsePro & Farm575,000$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Brett SeneyAvalanche (COL)C301996-02-28CANYes167 Lbs5 ft9NoNoN/ANoNo12025-08-10FalseFalsePro & Farm575,000$0$0$No---------------------------
Callahan BurkeAvalanche (COL)C291997-03-24USAYes183 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-03FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Calle Rosen Avalanche (COL)D321994-02-02SWEYes186 Lbs6 ft1NoNoN/ANoNo22024-09-12FalseFalsePro & Farm900,000$0$0$No900,000$-----------------No--------
Carter MazurAvalanche (COL)LW242002-03-28USAYes179 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-07FalseFalsePro & Farm905,833$0$0$No905,833$905,833$-------905,833$905,833$-------NoNo-------
Connor DewarAvalanche (COL)C271999-06-26CANYes192 Lbs5 ft10NoNoN/ANoNo32025-08-10FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Dakota MermisAvalanche (COL)D321994-01-05USAYes196 Lbs6 ft0NoNoN/ANoNo22024-09-12FalseFalsePro & Farm800,000$0$0$No800,000$-----------------No--------
Daniel CarrAvalanche (COL)RW341991-10-31CANYes194 Lbs6 ft0NoNoFree AgentNoNo32025-09-21FalseFalsePro & Farm575,000$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$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$0$0$No1,250,000$-----------------No--------
Evgeny SvechnikovAvalanche (COL)RW291996-10-31RUSYes208 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Jack St. IvanyAvalanche (COL)D261999-07-22USAYes205 Lbs6 ft4NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm857,500$0$0$No857,500$--------857,500$--------No--------
Jacob Bernard-DockerAvalanche (COL)D252000-06-30CANYes198 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Jacob BrysonAvalanche (COL)D281997-11-18CANYes174 Lbs5 ft9NoNoN/ANoNo22024-09-12FalseFalsePro & Farm1,500,000$0$0$No1,500,000$-----------------No--------
Jacob MacDonaldAvalanche (COL)D331993-02-26USAYes204 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$0$0$No---------------------------
Jere InnalaAvalanche (COL)LW281998-03-17FINYes174 Lbs5 ft10NoNoAssign ManuallyNoNo32025-10-11FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Jhonas EnrothAvalanche (COL)G381988-06-25SWENo174 Lbs5 ft10NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------
Joakim NygardAvalanche (COL)LW331993-01-08SWEYes179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Joel KellmanAvalanche (COL)C321994-05-25SWEYes192 Lbs5 ft11NoNoN/ANoNo22024-09-12FalseFalsePro & Farm575,000$0$0$No575,000$--------575,000$--------No--------
Joona LuotoAvalanche (COL)LW281997-09-26FINYes201 Lbs6 ft3NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Josh DunneAvalanche (COL)C271998-12-08USAYes209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm874,125$0$0$No---------------------------
Juho LammikkoAvalanche (COL)C301996-01-29FINYes203 Lbs6 ft3NoNoTrade2024-12-22NoNo12025-08-10FalseFalsePro & Farm575,000$0$0$No---------------------------
Juraj SlafkovskyAvalanche (COL)RW222004-03-30SVKYes225 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------
Logan StankovenAvalanche (COL)RW232003-02-26CANYes165 Lbs5 ft8NoNoAssign ManuallyNoNo22024-08-18FalseFalsePro & Farm814,167$0$0$No814,167$--------814,167$--------No--------
Mason MarchmentAvalanche (COL)LW311995-06-18CANYes212 Lbs6 ft5NoNoN/ANoNo32025-08-10FalseFalsePro & Farm2,000,000$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$0$0$No575,000$--------575,000$--------No--------
Michael AmadioAvalanche (COL)C301996-05-13CANYes199 Lbs6 ft1NoNoN/ANoNo12024-09-12FalseFalsePro & Farm1,500,000$0$0$No---------------------------
Mitchell StephensAvalanche (COL)C291997-02-05CANYes203 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Nikita PrishchepovAvalanche (COL)C222004-02-20RUSYes187 Lbs6 ft1NoNoAssign ManuallyNoNo32025-10-05FalseFalsePro & Farm806,667$0$0$No806,667$806,667$-------806,667$806,667$-------NoNo-------
Ondrej PavelAvalanche (COL)C252000-08-29CZEYes205 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-04FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------
Sam MalinskiAvalanche (COL)D271998-07-27USAYes190 Lbs5 ft11NoNoAssign ManuallyNoNo22024-08-25FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Victor AntipinAvalanche (COL)D331992-12-06KAZYes175 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------
Will CuylleAvalanche (COL)LW242002-02-05CANYes212 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm828,333$0$0$No---------------------------
Yaroslav AskarovAvalanche (COL)G242002-06-16RUSYes178 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Yegor KorshkovAvalanche (COL)RW291996-07-10RUSYes181 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm575,000$0$0$No---------------------------
Zach WhitecloudAvalanche (COL)D291996-11-28CANYes218 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3828.92193 Lbs6 ft11.82947,082$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunMichael AmadioJuraj Slafkovsky35122
2Mason MarchmentConnor DewarLogan Stankoven35122
3Will CuylleMitchell StephensEvgeny Svechnikov25122
4Joakim NygardBen MeyersDaniel Carr5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson35122
2Sam MalinskiJacob Bernard-Docker35122
3Jacob MacDonaldDakota Mermis30122
4Zach WhitecloudJacob Bryson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunMichael AmadioJuraj Slafkovsky60122
2Mason MarchmentConnor DewarLogan Stankoven40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob Bernard-Docker40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunMason Marchment60122
2Will CuylleJuraj Slafkovsky40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob Bernard-Docker40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominik Kahun60122Zach WhitecloudJacob Bryson60122
2Mason Marchment40122Sam MalinskiJacob Bernard-Docker40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunMason Marchment60122
2Will CuylleJuraj Slafkovsky40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zach WhitecloudJacob Bryson60122
2Sam MalinskiJacob Bernard-Docker40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunMichael AmadioJuraj SlafkovskyZach WhitecloudJacob Bryson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunMichael AmadioJuraj SlafkovskyZach WhitecloudJacob Bryson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Evgeny Svechnikov, Mitchell Stephens, Joakim NygardEvgeny Svechnikov, Mitchell StephensJoakim Nygard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob MacDonald, Dakota Mermis, Sam MalinskiJacob MacDonaldDakota Mermis, Sam Malinski
Tirs de pénalité
Dominik Kahun, Mason Marchment, Will Cuylle, Juraj Slafkovsky, Logan Stankoven
Gardien
#1 : , #2 : Jhonas Enroth
Lignes d’attaque personnalisées en prolongation
Dominik Kahun, Mason Marchment, Will Cuylle, Juraj Slafkovsky, Logan Stankoven, Michael Amadio, Connor Dewar, Evgeny Svechnikov, Mitchell Stephens, Joakim Nygard
Lignes de défense personnalisées en prolongation
Zach Whitecloud, Jacob Bryson, Sam Malinski, Jacob Bernard-Docker, Jacob MacDonald


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
1Blackhawks6420000018993210000010553210000084480.66718314900212534321726730130413177618014425416.00%25484.00%032268347.14%30668544.67%18039146.04%576342611238450221R5
2Ducks7430000022166321000001064422000001210280.57122355700212534322926730130413228756317317211.76%19478.95%032268347.14%30668544.67%18039146.04%576342611238450221R2
3Flyers734000002020031200000810-2422000001210260.42920335310212534320126730130413259952314110110.00%100100.00%032268347.14%30668544.67%18039146.04%576342611238450221
4Sharks74300000232303120000078-1431000001615180.57123386101212534323826730130413233973914914214.29%17476.47%032268347.14%30668544.67%18039146.04%576342611238450221R2
Total271512000008368151266000003529615960000048399300.556831372201121253438852673013041389732820560766913.64%711283.10%032268347.14%30668544.67%18039146.04%576342611238450221
_Since Last GM Reset271512000008368151266000003529615960000048399300.556831372201121253438852673013041389732820560766913.64%711283.10%032268347.14%30668544.67%18039146.04%576342611238450221
_Vs Conference2012800000634815954000002719811740000036297240.600631041670121253436842673013041363823318246656814.29%611280.33%032268347.14%30668544.67%18039146.04%576342611238450221
_Vs Division6420000018993210000010553210000084480.66718314900212534321726730130413177618014425416.00%25484.00%032268347.14%30668544.67%18039146.04%576342611238450221

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2730OTL18313722088589732820560711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
27151200008368
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
126600003529
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
159600004839
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
66913.64%711283.10%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
267301304132125343
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
32268347.14%30668544.67%18039146.04%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
576342611238450221


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
27Avalanche2Ducks3LR2Sommaire du match
415Avalanche3Ducks4LSommaire du match
623Ducks1Avalanche3WR2Sommaire du match
831Ducks4Avalanche3LSommaire du match
1039Avalanche3Ducks1WR2Sommaire du match
1247Ducks1Avalanche4WSommaire du match
1455Avalanche4Ducks2WR2Sommaire du match
1660Avalanche4Sharks3WR2Sommaire du match
1864Avalanche4Sharks3WXSommaire du match
2068Sharks0Avalanche2WR2Sommaire du match
2272Sharks2Avalanche1LXSommaire du match
2476Avalanche5Sharks7LR2Sommaire du match
2680Sharks6Avalanche4LSommaire du match
2884Avalanche3Sharks2WXR2Sommaire du match
3086Avalanche4Blackhawks1WSommaire du match
3288Avalanche1Blackhawks2LR5Sommaire du match
3490Blackhawks1Avalanche6WSommaire du match
3692Blackhawks3Avalanche1LR5Sommaire du match
3894Avalanche3Blackhawks1WSommaire du match
4096Blackhawks1Avalanche3WR5Sommaire du match
4399Avalanche6Flyers2WSommaire du match
44100Avalanche2Flyers1WXSommaire du match
45101Flyers5Avalanche4LSommaire du match
46102Flyers3Avalanche1LSommaire du match
47103Avalanche2Flyers4LSommaire du match
48104Flyers2Avalanche3WSommaire du match
49105Avalanche2Flyers3LXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance24,00012,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
29 3000 - 100.00% 128,250$1,539,000$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,598,913$ 3,598,913$ 900,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




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
1Kirill Marchenko158829918135524824864712.67%63326920.701825431005161514343.00%41.1117
2Mason McTavish1396586151412528831649113.24%55286820.6412253754202117452.10%21.0506
3Peyton Krebs1616777144130332639155812.01%87311219.3361521363141215250.89%10.9317
4Hudson Fasching14650601109915117645910.89%61264618.1366123002277540.78%10.8303
5Anthony DeAngelo1601496110-151021933074842.89%182347221.7069153302210010%00.6300

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
1Collin Delia1427056110.9013.148057102422428217211550.72429
2Daniil Tarasov4017730.8953.331839401029674441100

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
Saison régulière
1982343205344256255141191702021133125841151503323123130-7932564326880064958810257782390482452253889855520562394317.99%1943780.93%21011200350.47%995192951.58%643124951.48%1806107517537211416709
2082333307522274250244117150412214312419411618034001311265912744597334088101769266390693280630261484772319372283917.11%1943880.41%21073208451.49%923194847.38%593124247.75%1790108317947051369681
Total Saison régulière164676501286653050525823632061432762492782313306723254256-21845308911421401521961641952401729183616308251521745127839934678217.56%3887580.67%42084408750.99%1918387749.47%1236249149.62%359621583547142627851391
Séries éliminatoires
2027151200000836815126600000352961596000004839930831372201121253438852673013041389732820560766913.64%711283.10%032268347.14%30668544.67%18039146.04%576342611238450221
Total Séries éliminatoires27151200000836815126600000352961596000004839930831372201121253438852673013041389732820560766913.64%711283.10%032268347.14%30668544.67%18039146.04%576342611238450221

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
1Kirill Marchenko7459-408103212.50%014921.40224700002042.50%01.2000
2Mason McTavish7246-401017277.41%314620.96022500000054.71%00.8200
3Alexander True7044-17161080%29213.15000001100051.52%00.8700
4Peyton Krebs7224-31115141910.53%112818.30101300000052.67%00.6200
5Brock Faber7044-801318150%1517224.6801120111000%00.4600

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
1Collin Delia63300.9122.843590017194660100
2Daniil Tarasov10100.8824.006000434170000