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Avalanche
GP: 25 | W: 16 | L: 9
GF: 92 | GA: 65 | PP%: 17.24% | PK%: 86.49%
DG: Bernard Martel | Morale : 99 | Moyenne d’équipe : 68
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Centre de jeu
Avalanche
16-9-0, 32pts
4
FINAL
1 Senateurs
15-10-0, 30pts
Team Stats
W2StreakL2
6-7-0Home Record4-7-0
10-2-0Away Record11-3-0
6-3-1Last 10 Games6-4-0
3.68Buts par match 3.12
2.60Buts contre par match 2.96
17.24%Pourcentage en avantage numérique30.12%
86.49%Pourcentage en désavantage numérique76.83%
Senateurs
15-10-0, 30pts
1
FINAL
2 Avalanche
16-9-0, 32pts
Team Stats
L2StreakW2
4-7-0Home Record6-7-0
11-3-0Away Record10-2-0
6-4-0Last 10 Games6-3-1
3.12Buts par match 3.68
2.96Buts contre par match 2.60
30.12%Pourcentage en avantage numérique17.24%
76.83%Pourcentage en désavantage numérique86.49%
Meneurs d'équipe
Buts
Dominik Kahun
15
Passes
Nikita Gusev
26
Points
Nikita Gusev
34
Plus/Moins
Zach Whitecloud
18
Victoires
Anders Lindback
16
Pourcentage d’arrêts
Anders Lindback
0.916

Statistiques d’équipe
Buts pour
92
3.68 GFG
Tirs pour
799
31.96 Avg
Pourcentage en avantage numérique
17.2%
15 GF
Début de zone offensive
37.0%
Buts contre
65
2.60 GAA
Tirs contre
771
30.84 Avg
Pourcentage en désavantage numérique
86.5%%
10 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur généralBernard Martel
EntraîneurKirk Muller
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison1,800


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs29


Historique d'équipe

Saison actuelle16-9
Historique46-29-5 (0.575%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)16-9
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
1Nikita Gusev (R)X100.0044289772708285885390776878858237897403033,000,000$
2Sean Kuraly (R)X98.567946877083678673908681816382766886740301800,000$
3Jacob De La Rose (R)X100.0099635661796170868486837654796668907302821,500,000$
4Dominik Kahun (R)X100.0041269973708586786979717872767436897102731,000,000$
5Joseph Blandisi (R)X100.0072616666737079777083777158797548867102821,500,000$
6Michael Amadio (R)X100.007342947283637168787469672574715789670272700,000$
7Joakim Nygard (R)X100.005128987071788473527269566479723289670301600,000$
8Evgeny Svechnikov (R)X100.007244857182616465347469622574717586650261575,000$
9Mason Marchment (R)X100.007646846883676064397568572577736078650282800,000$
10Jordan Szwarz (R)X100.005238946474747965676260656288784867640322575,000$
11Yegor Korshkov (R)X100.006039966979707566546163665973707287640261925,000$
12Mitchell Stephens (R)X100.007469487084616957807366595871687085640261833,333$
13Vladislav Gavrikov (R)X100.007445917182789266258269792577736290730271925,000$
14Philip Samuelsson (R)X100.0096984465757382882559657562819040867203121,250,000$
15Jacob Bryson (R)X100.007142897182777967257569762571685989700252889,166$
16Calle Rosen (R)X100.007269787069807770307165685476714884680292700,000$
17Zach Whitecloud (R)X100.007445866883748070257469752553546082680261725,000$
18Victor Antipin (R)X100.004327997170687181307571725276643284670301700,000$
Rayé
1Owen Tippett (R)X93.337744957683597367557571622549496687660242600,000$
2Adam CracknellX100.006034696477295177857270666992861849650373575,000$
3Steven Fogarty (R)X100.007642757184596660607468692547486124630301575,000$
4Matt Luff (R)X100.007342887183565761377368722552515838630263575,000$
5Joel Kellman (R)X100.006330976673657263776462666377723330630291750,000$
6T.J. Tynan (R)X100.006658866258666669806555666482746524620313575,000$
7Brett Seney (R)X100.006356797766677154686054646372695825610273575,000$
8Connor Dewar (R)X100.007265876565666763794040636244446525550243800,000$
9Brayden Tracey (R)X100.007265897165323044553535584244445024470223863,333$
10Jacob MacDonald (R)X100.007444917283656970257470737556565741670301725,000$
11Dakota Mermis (R)X100.007342837382735569247369697955556026660291700,000$
MOYENNE D’ÉQUIPE99.69694884697666716954716668517067546766
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
1Anders Lindback100.007475928283999999998585999935908703512,500,000$
2Anthony Stolarz (R)100.008286839586919493918281778157918602911,250,000$
Rayé
1Matt Hackett (R)100.008173727576898991917879898936258103311,750,000$
MOYENNE D’ÉQUIPE100.0079788284829394949482828890436985
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kirk Muller68828266867871CAN551800,000$


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
1Nikita GusevAvalanche (COL)RW25826341120374810338627.77%1453521.40191015780005723047.32%112265001.2700000133
2Jacob De La RoseAvalanche (COL)C2510203084325675884254511.90%1147218.912356590000330052.30%501178001.2700410232
3Dominik KahunAvalanche (COL)LW251514291320313567193822.39%1150920.4035812790110461055.17%2977001.1400000303
4Sean KuralyAvalanche (COL)C221213251175526658153220.69%645320.6352712670002624056.86%54795001.1000010330
5Joseph BlandisiAvalanche (COL)LW2514102445820473774145818.92%1143717.50134356000052148.15%27187001.1000121330
6Evgeny SvechnikovAvalanche (COL)RW2576131040462037152018.92%741316.52112145101151040.48%4248000.6300000241
7Joakim NygardAvalanche (COL)LW254913-10016256520316.15%1131912.7800006000002039.39%33164000.8100000000
8Michael AmadioAvalanche (COL)C254812-44039494918398.16%1233813.53000012000030055.82%249129000.7100000003
9Zach WhitecloudAvalanche (COL)D2511112181404036261573.85%2552320.94000343000043010.00%0419000.4600000010
10Philip SamuelssonAvalanche (COL)D25110114712576513016133.33%3557923.17134381000056000.00%0520000.3800221000
11Yegor KorshkovAvalanche (COL)RW2562810017182961620.69%829711.91000000000170033.33%1853000.5400000110
12Jacob BrysonAvalanche (COL)D251671617536392710133.70%2354821.93000153000049000.00%0621000.2600001000
13Mason MarchmentAvalanche (COL)LW2543749518163362012.12%32018.0600001000052031.82%2234000.6900100100
14Calle Rosen Avalanche (COL)D2505552715413324580.00%2141016.4000011700009000.00%0413000.2400201000
15Mitchell StephensAvalanche (COL)C201457140271594911.11%21376.8500000000000053.49%4311000.7300000000
16Vladislav GavrikovAvalanche (COL)D222353752440341165.88%3453324.25112281000068000.00%0811000.1900001100
17Victor AntipinAvalanche (COL)D21044-3006321814120.00%1932315.4000002000024000.00%01314000.2500000000
18Jacob MacDonaldAvalanche (COL)D70221201296230.00%911516.480000000003000.00%022000.3500000000
19Jordan SzwarzAvalanche (COL)RW2001130061010610.00%61477.3900002000000066.67%312000.1400000000
20Owen TippettAvalanche (COL)RW5101-30056100210.00%18316.74000012000001016.67%612000.2400000000
21Joel KellmanAvalanche (COL)C710100031240325.00%0578.2200000000000058.62%2911000.3500000000
22T.J. TynanAvalanche (COL)C1000000302010.00%077.0800000000000050.00%201000.00%00000000
Statistiques d’équipe totales ou en moyenne4509215724910828110564965579925943911.51%269744516.5515274259701112850716252.98%1663163167000.67001065171812
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
1Anders LindbackAvalanche (COL)2416520.9162.5814182061730290000.00%0241122
2Anthony StolarzAvalanche (COL)20200.9022.58930044122000.00%0124000
Statistiques d’équipe totales ou en moyenne2616720.9162.58151220657713120002525122


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 Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam CracknellAvalanche (COL)LW371985-07-15 11:11:13No209 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Anders LindbackAvalanche (COL)G351988-05-03 17:11:14No210 Lbs6 ft6NoNoNo1Pro & Farm2,500,000$0$0$No
Anthony StolarzAvalanche (COL)G291994-01-20 03:19:46Yes229 Lbs6 ft5NoNoNo1Pro & Farm1,250,000$0$0$No
Brayden TraceyAvalanche (COL)LW222001-05-28 08:57:26Yes176 Lbs6 ft0NoNoNo3Pro & Farm863,333$0$0$No863,333$863,333$
Brett SeneyAvalanche (COL)C271996-02-28 05:09:31Yes156 Lbs5 ft9NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Calle Rosen Avalanche (COL)D291994-02-02 06:41:47Yes186 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Connor DewarAvalanche (COL)C241999-06-26 08:59:34Yes183 Lbs5 ft10NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Dakota MermisAvalanche (COL)D291994-01-05 13:15:47Yes194 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Dominik KahunAvalanche (COL)LW271995-07-02 07:23:49Yes175 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
Evgeny SvechnikovAvalanche (COL)RW261996-10-31 03:35:20Yes207 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
Jacob BrysonAvalanche (COL)D251997-11-18 04:41:08Yes179 Lbs5 ft9NoNoNo2Pro & Farm889,166$0$0$No889,166$
Jacob De La RoseAvalanche (COL)C281995-05-20 23:11:13Yes216 Lbs6 ft3NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Jacob MacDonaldAvalanche (COL)D301993-02-26 05:55:34Yes205 Lbs6 ft0NoNoNo1Pro & Farm725,000$0$0$No
Joakim NygardAvalanche (COL)LW301993-01-08 14:13:39Yes179 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Joel KellmanAvalanche (COL)C291994-05-25 11:14:12Yes192 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Jordan SzwarzAvalanche (COL)RW321991-05-14 23:11:13Yes201 Lbs5 ft11NoNoNo2Pro & Farm575,000$0$0$No575,000$
Joseph BlandisiAvalanche (COL)LW281994-07-18 04:31:57Yes187 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
Mason MarchmentAvalanche (COL)LW281995-06-18 05:04:37Yes209 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$
Matt HackettAvalanche (COL)G331990-03-07 17:11:14Yes181 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$0$0$No
Matt LuffAvalanche (COL)RW261997-05-05 05:00:14Yes196 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Michael AmadioAvalanche (COL)C271996-05-13 13:41:42Yes204 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$
Mitchell StephensAvalanche (COL)C261997-02-05 03:05:21Yes194 Lbs6 ft0NoNoNo1Pro & Farm833,333$0$0$No
Nikita GusevAvalanche (COL)RW301992-07-08 06:29:54Yes181 Lbs5 ft11NoNoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$
Owen Tippett (sur la masse salariale)Avalanche (COL)RW241999-02-16 13:39:45Yes200 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Philip SamuelssonAvalanche (COL)D311991-07-26 23:11:13Yes202 Lbs6 ft2NoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$
Sean KuralyAvalanche (COL)C301993-01-20 13:23:25Yes213 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Steven FogartyAvalanche (COL)C301993-04-19 13:46:11Yes210 Lbs6 ft3NoNoNo1Pro & Farm575,000$0$0$No
T.J. TynanAvalanche (COL)C311992-02-25 03:45:00Yes168 Lbs5 ft8NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Victor AntipinAvalanche (COL)D301992-12-06 02:24:53Yes175 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$No
Vladislav GavrikovAvalanche (COL)D271995-11-21 13:25:15Yes205 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$No
Yegor KorshkovAvalanche (COL)RW261996-07-10 10:13:34Yes181 Lbs6 ft4NoNoNo1Pro & Farm925,000$0$0$No
Zach WhitecloudAvalanche (COL)D261996-11-28 06:29:34Yes209 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.50194 Lbs6 ft11.78962,839$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunSean KuralyNikita Gusev35122
2Joseph BlandisiJacob De La RoseEvgeny Svechnikov35122
3Joakim NygardMichael AmadioYegor Korshkov25122
4Mason MarchmentMitchell StephensJordan Szwarz5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson35122
2Jacob BrysonZach Whitecloud35122
3Calle Rosen Victor Antipin30122
4Vladislav GavrikovPhilip Samuelsson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunSean KuralyNikita Gusev60122
2Joseph BlandisiJacob De La RoseEvgeny Svechnikov40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonZach Whitecloud40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikita GusevSean Kuraly60122
2Jacob De La RoseDominik Kahun40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonZach Whitecloud40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Gusev60122Vladislav GavrikovPhilip Samuelsson60122
2Sean Kuraly40122Jacob BrysonZach Whitecloud40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nikita GusevSean Kuraly60122
2Jacob De La RoseDominik Kahun40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vladislav GavrikovPhilip Samuelsson60122
2Jacob BrysonZach Whitecloud40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunSean KuralyNikita GusevVladislav GavrikovPhilip Samuelsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunSean KuralyNikita GusevVladislav GavrikovPhilip Samuelsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Nygard, Michael Amadio, Mason MarchmentJoakim Nygard, Michael AmadioMason Marchment
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Calle Rosen , Victor Antipin, Jacob BrysonCalle Rosen Victor Antipin, Jacob Bryson
Tirs de pénalité
Nikita Gusev, Sean Kuraly, Jacob De La Rose, Dominik Kahun, Joseph Blandisi
Gardien
#1 : Anders Lindback, #2 : Anthony Stolarz
Lignes d’attaque personnalisées en prolongation
Nikita Gusev, Sean Kuraly, Jacob De La Rose, Dominik Kahun, Joseph Blandisi, Joakim Nygard, Joakim Nygard, Michael Amadio, Mason Marchment, Evgeny Svechnikov, Yegor Korshkov
Lignes de défense personnalisées en prolongation
Vladislav Gavrikov, Philip Samuelsson, Jacob Bryson, Zach Whitecloud, Calle Rosen


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Blackhawks7430000025187422000001410432100000118380.5712545700024303712032622442858228631591873239.38%37586.49%032761553.17%34866152.65%20638753.23%523295552235439218
2Kings64200000221843210000013943210000099080.6672235570024303712022622442858179684916322418.18%17194.12%132761553.17%34866152.65%20638753.23%523295552235439218
3Senateurs7430000023167413000001012-233000000134980.5712337600024303712312622442858221843118217317.65%8362.50%032761553.17%34866152.65%20638753.23%523295552235439218
4Sharks54100000221392110000065133000000168880.8002240620024303711632622442858143544411716531.25%12191.67%032761553.17%34866152.65%20638753.23%523295552235439218
Total2516900000926527136700000433671210200000492920320.640921572490024303717992622442858771269283649871517.24%741086.49%132761553.17%34866152.65%20638753.23%523295552235439218
_Since Last GM Reset2516900000926527136700000433671210200000492920320.640921572490024303717992622442858771269283649871517.24%741086.49%132761553.17%34866152.65%20638753.23%523295552235439218
_Vs Conference1812600000694920954000003324997200000362511240.667691201890024303715682622442858550185252467701217.14%66789.39%132761553.17%34866152.65%20638753.23%523295552235439218
_Vs Division7430000025187422000001410432100000118380.5712545700024303712032622442858228631591873239.38%37586.49%032761553.17%34866152.65%20638753.23%523295552235439218

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2532W29215724979977126928364900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2516900009265
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
136700004336
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1210200004929
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
871517.24%741086.49%1
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
26224428582430371
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
32761553.17%34866152.65%20638753.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
523295552235439218


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
2 - 2022-10-195Kings5Avalanche1BLR2Sommaire du match
4 - 2022-10-2113Kings2Avalanche8BWSommaire du match
6 - 2022-10-2321Avalanche2Kings4ALR2Sommaire du match
8 - 2022-10-2529Avalanche3Kings2AWSommaire du match
10 - 2022-10-2737Kings2Avalanche4BWR2Sommaire du match
12 - 2022-10-2945Avalanche4Kings3AWXSommaire du match
16 - 2022-11-0259Blackhawks2Avalanche5BWSommaire du match
18 - 2022-11-0463Blackhawks2Avalanche1BLSommaire du match
20 - 2022-11-0667Avalanche2Blackhawks3ALXSommaire du match
22 - 2022-11-0871Avalanche4Blackhawks3AWSommaire du match
24 - 2022-11-1075Blackhawks3Avalanche2BLSommaire du match
26 - 2022-11-1279Avalanche5Blackhawks2AWSommaire du match
28 - 2022-11-1483Blackhawks3Avalanche6BWSommaire du match
30 - 2022-11-1686Avalanche6Sharks1AWR2Sommaire du match
32 - 2022-11-1888Avalanche6Sharks4AWSommaire du match
34 - 2022-11-2090Sharks2Avalanche4BWR2Sommaire du match
36 - 2022-11-2292Sharks3Avalanche2BLSommaire du match
38 - 2022-11-2494Avalanche4Sharks3AWR2Sommaire du match
43 - 2022-11-2999Senateurs3Avalanche2BLSommaire du match
44 - 2022-11-30100Senateurs3Avalanche2BLXSommaire du match
45 - 2022-12-01101Avalanche3Senateurs1AWSommaire du match
46 - 2022-12-02102Avalanche6Senateurs2AWSommaire du match
47 - 2022-12-03103Senateurs5Avalanche4BLSommaire du match
48 - 2022-12-04104Avalanche4Senateurs1AWSommaire du match
49 - 2022-12-05105Senateurs1Avalanche2BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3525
Assistance26,00013,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
28 3000 - 100.00% 128,250$1,667,250$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,021,083$ 1,546,083$ 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 (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
1Carter Verhaeghe77284573164015020522812.28%28159020.65619252700037247.7010.9206
2Anthony DeAngelo75145064-201442311622276.17%81175523.4091221440114220.00%00.7300
3Matt Nieto622433571008513718313.11%42131121.16711181910175144.7900.8726
4Geoff Platt662531563762011072539.88%25125819.0787152710131350.3810.8905
5Alexander True821625416641311341818.84%21119914.63213800043251.8500.6823

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
1Pheonix Copley42231430.9152.602354611021207504220.5006
2Collin Delia45221460.9062.882626001261345589410.62516

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
1782352808425254236184121120321212411410411416052131301228992544276813154969413260578986092753255582461820992334519.31%2434382.30%3949199947.47%951194348.94%572118248.39%172096718067631459723
Total Saison régulière82382903552256218384116160153012511874122130202213110031992564146702062919515260379294184358245484890121522394719.67%2504781.20%41089198454.89%1039199252.16%663121354.66%1756100817657551442714
Séries éliminatoires
17514000001419-531200000911-22020000058-3214213500111201515455411159518315924520.83%24483.33%06313247.73%5413240.91%286940.58%10758107489146
Total Séries éliminatoires251690000092652713670000043367121020000049292032921572490024303717992622442858771269283649871517.24%741086.49%132761553.17%34866152.65%20638753.23%523295552235439218

Avalanche Leaders statistiques (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
1Anthony DeAngelo5066124159110.00%811623.2603350001000.00%01.0300
2Geoff Platt5235-282421612.50%19418.86033200000162.5001.0600
3Travis Boyd513410810175.88%29118.31000100011048.0500.8700
4Carter Verhaeghe5224-2417161315.38%111022.09213400020045.6700.7200
5Mario Ferraro5213151014728.57%1112525.1620230000000.00%00.4800

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
1Pheonix Copley41300.8893.50240001412650100.00%0
2Collin Delia10010.8484.62650053316000.00%0