Connexion

Coyotes
GP: 79 | W: 43 | L: 25 | OTL: 11 | P: 97
GF: 256 | GA: 230 | PP%: 24.22% | PK%: 80.91%
DG: Pascal Besner | Morale : 62 | Moyenne d’équipe : 74
Prochains matchs #794 vs Oilers
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Centre de jeu
Jets
43-24-11, 97pts
2
FINAL
3 Coyotes
43-25-11, 97pts
Team Stats
SOL1SéquenceL1
25-9-5Fiche domicile25-9-5
18-15-6Fiche visiteur18-16-6
5-2-3Derniers 10 matchs5-3-2
3.08Buts par match 3.24
2.68Buts contre par match 2.91
17.51%Pourcentage en avantage numérique24.22%
81.15%Pourcentage en désavantage numérique80.91%
Coyotes
43-25-11, 97pts
3
FINAL
5 Oilers
45-23-10, 100pts
Team Stats
L1SéquenceW4
25-9-5Fiche domicile24-11-5
18-16-6Fiche visiteur21-12-5
5-3-2Derniers 10 matchs6-2-2
3.24Buts par match 3.14
2.91Buts contre par match 2.92
24.22%Pourcentage en avantage numérique17.29%
80.91%Pourcentage en désavantage numérique73.33%
Oilers
45-23-10, 100pts
Jour 122
Coyotes
43-25-11, 97pts
Statistiques d’équipe
W4SéquenceL1
24-11-5Fiche domicile25-9-5
21-12-5Fiche visiteur18-16-6
6-2-210 derniers matchs5-3-2
3.14Buts par match 3.24
2.92Buts contre par match 3.24
17.29%Pourcentage en avantage numérique24.22%
73.33%Pourcentage en désavantage numérique80.91%
Coyotes
43-25-11, 97pts
Jour 123
Lightning
41-23-16, 98pts
Statistiques d’équipe
L1SéquenceSOL1
25-9-5Fiche domicile19-13-7
18-16-6Fiche visiteur22-10-9
5-3-210 derniers matchs3-5-2
3.24Buts par match 2.83
2.91Buts contre par match 2.83
24.22%Pourcentage en avantage numérique18.06%
80.91%Pourcentage en désavantage numérique85.71%
Jets
43-24-11, 97pts
Jour 126
Coyotes
43-25-11, 97pts
Statistiques d’équipe
SOL1SéquenceL1
25-9-5Fiche domicile25-9-5
18-15-6Fiche visiteur18-16-6
5-2-310 derniers matchs5-3-2
3.08Buts par match 3.24
2.68Buts contre par match 3.24
17.51%Pourcentage en avantage numérique24.22%
81.15%Pourcentage en désavantage numérique80.91%
Meneurs d'équipe
Mark ScheifeleButs
Mark Scheifele
43
Mark ScheifelePasses
Mark Scheifele
65
Mark ScheifelePoints
Mark Scheifele
108
Boone JennerPlus/Moins
Boone Jenner
30
Juuse SarosVictoires
Juuse Saros
31
Thatcher DemkoPourcentage d’arrêts
Thatcher Demko
0.923

Statistiques d’équipe
Buts pour
256
3.24 GFG
Tirs pour
2721
34.44 Avg
Pourcentage en avantage numérique
24.2%
54 GF
Début de zone offensive
38.4%
Buts contre
230
2.91 GAA
Tirs contre
2555
32.34 Avg
Pourcentage en désavantage numérique
80.9%%
46 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralPascal Besner
EntraîneurBruce Cassidy
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomGila River Arena
Capacité22,000
Assistance19,118
Billets de saison11,000


Informations de la formation

Équipe Pro21
Équipe Mineure14
Limite contact 35 / 50
Espoirs88


Plafond salarial Non Activé

Cap Salarial de la Saison estimé73,938,750$
Plafond salarial disponible2,024,333$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial21


Finance

Revenu annuel à ce jour60,696,964$
Dépenses annuelles à ce jour72,052,189$
Revenus de la saison estimés3,112,665$
Dépenses de la saison estimées4,808,672$
Compte bancaire actuel280,999,671$
Compte bancaire projeté279,303,664$


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
1Tage ThompsonX100.006954858384799589768696677565650807802545,000,000$
2Mark ScheifeleX100.006753848778859190857695646976780797702937,000,000$
3Brock NelsonXX100.006743908279799482828290694979830777603114,000,000$
4Boone JennerXX100.008455798277848188967387727076760637602944,500,000$
5David PerronXX100.007844828073749291307980636387880817503424,000,000$
6Jean-Gabriel PageauX100.009045938465779178987971832574770807403023,000,000$
7Kevin HayesX100.006753908083778282788173637073730817203013,500,000$
8Viktor ArvidssonXX100.006141908464768977398085656370720817202913,500,000$
9Kyle OkposoX100.007544868177689268596868757283830817003423,000,000$
10Radek FaksaXX100.007655858582669661836066823771720816902822,000,000$
11Oskar SundqvistXX100.007344878177668072417268682566660816802821,500,000$
12Jack McBain (R)XX100.00998078778367645876636882255555065670222883,750$
13Jeff PetryX100.009647888377868278256949882581840777703513,500,000$
14Roman JosiX100.007143849074939189257566755379830757603217,500,000$
15Joshua MorrisseyX100.007654848872909690258061712571730777502746,000,000$
16Jack JohnsonX100.007945897481789658254647886188890817303523,000,000$
17Mario FerraroX100.008344898067848563254948942564640817202431,750,000$
18Travis SanheimX100.007143858270819864255450852568680817202612,000,000$
Rayé
1Jarred TinordiX100.00979975688970616025514887635960020680301805,000$
Équipe Mineure
1Ryan McLeodX100.00694389777667856880667177255960047680231834,167$
2Stefan NoesenXX100.007858877476629280487470602563630486802911,154,345$
3Fabian Zetterlund (R)X100.00714392777065876736705963255555050640232750,000$
4Riley SheahanXX100.008279888079596055615950744273730366303112,350,000$
5Connor DewarXX100.00805682656258856065625879255859050630232800,000$
6Will Cuylle (R)X100.00787977647978826250556566624444050620203828,333$
7Sheldon Rempal (R)XX100.00666079626077806550626461614545050610271700,000$
8Troy StecherX100.007356848367707259255148852568690426902811,322,500$
9Justin Barron (R)X100.00784485777570746525625070254848041650212925,000$
10Kaedan Korczak (R)X100.00717367737366714825394159394545050580212789,167$
11Nikita Okhotiuk (R)X100.00677156677162664825394257404545050560222789,167$
MOYENNE D’ÉQUIPE100.0078528582767887765470697648737407573
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
1Juuse Saros100.00859591638388858687869465660818002735,000,000$
2Thatcher Demko100.00837777818084728584839562630817702742,500,000$
Rayé
Équipe Mineure
1Alex Stalock (R)100.0070535273726875717871794646043660352750,000$
2Brian Elliott100.00615255806656746265617973750396403721,000,000$
3Michael Hutchinson100.00605455806554836165607860610416303221,000,000$
MOYENNE D’ÉQUIPE100.008486847282867986868595646508179
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bruce Cassidy8790879589901CAN5713,000,000$


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
1Mark ScheifeleCoyotesC79436510820582011414735510119112.11%26171721.74121931461920004877154.49%23167435001.26351215811
2Tage ThompsonCoyotesC79424688202401021063158218213.33%38165520.96151732491920001157446.72%1375621021.063160001226
3Brock NelsonCoyotesC/LW79274673-2235991142156613012.56%35140817.8381826231940001635250.92%9745922011.04110000542
4David PerronCoyotesLW/RW79293463-10460107682496413311.65%29125915.94681416150000036225.76%664915001.0000000325
5Boone JennerCoyotesC/LW75283361308410119922287914612.28%42151520.215611211321126856255.91%1275828030.8112110255
6Jean-Gabriel PageauCoyotesC7915274221135118114163561039.20%35128716.303691114821372182155.88%8934019000.6500001512
7Joshua MorrisseyCoyotesD79435397902012113416868782.38%118204125.8416717214000011010%05358000.3800022030
8Roman JosiCoyotesD77526314380667712648513.97%74152419.8015618205011142000%03747000.4100000012
9Viktor ArvidssonCoyotesLW/RW79141529131204551191471037.33%1888411.2000001000000029.63%274014000.6600000310
10Jeff PetryCoyotesD78325281842101281299737523.09%121196925.2521351330223221000%01583000.2800011021
11Kyle OkposoCoyotesRW79101424-32208810173174013.70%30117714.91000000223860135.09%57620000.41115000001
12Kevin HayesCoyotesC798122016120693910239677.84%1190111.41000211000000038.46%261513000.4416000011
13Jack JohnsonCoyotesD7911516-5140831067133281.41%90160220.28000030110136010%0561000.2000000000
14Oskar SundqvistCoyotesC/RW796511-19180463513446874.48%146618.37000010000002044.44%183011000.3300000101
15Radek FaksaCoyotesC/LW795510-1710063666315357.94%117269.19000012023911054.80%281912100.2800000010
16Travis SanheimCoyotesD79257314044905117203.92%72127916.2011241280001140010%1336000.1100000000
17Mario FerraroCoyotesD793361328075815219285.77%72121815.430111120002224010%0457000.1000000001
18Jack McBainCoyotesC/LW71516-1612070506020358.33%2876310.760110800091211045.00%20822000.1600000102
19Jarred TinordiCoyotesD9011220110010%1202.300000000001000%001000.9700000000
20Troy StecherSan Antonio (Ari)D2011-120033000%13316.530000000000000%000000.6100000000
21Stefan NoesenSan Antonio (Ari)LW/RW4000-100505210%04110.40000000000000100.00%10000000000000
Statistiques d’équipe totales ou en moyenne1422250414664935647015631604272185615119.19%8662369016.66548914321317445813411555371752.97%4944561575160.561054265373140
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
1Juuse SarosCoyotes60312170.9122.783599401671902845330.744395920835
2Thatcher DemkoCoyotes2112440.9232.4312330050649344210.538132059041
Statistiques d’équipe totales ou en moyenne814325110.9152.704832402172551118954527979876


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé 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 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
Boone JennerCoyotesC/LW291993-06-14No208 Lbs6 ft2NoNoN/AYesYes4Pro & Farm4,500,000$4,500,000$281,250$No4,500,000$5,000,000$5,000,000$------NoNoNo------Lien / Lien NHL
Brock NelsonCoyotesC/LW311991-10-14No212 Lbs6 ft3NoNoN/AYesYes1Pro & Farm4,000,000$4,000,000$250,000$No------------------Lien / Lien NHL
David PerronCoyotesLW/RW341988-05-28No200 Lbs6 ft0NoNoN/AYesYes2Pro & Farm4,000,000$4,000,000$250,000$No4,000,000$--------No--------Lien / Lien NHL
Jack JohnsonCoyotesD351987-01-13No227 Lbs6 ft1NoNoN/AYesYes2Pro & Farm3,000,000$3,000,000$187,500$No3,000,000$--------No--------Lien
Jack McBainCoyotesC/LW222000-06-06Yes218 Lbs6 ft4NoNoN/ANoNo2Pro & Farm883,750$883,750$55,234$No883,750$--------No--------Lien
Jarred TinordiCoyotesD301992-02-20No225 Lbs6 ft6NoNoFree AgentNoNo12024-01-10Pro & Farm805,000$805,000$50,312$No------------------Lien / Lien NHL
Jean-Gabriel PageauCoyotesC301992-11-11No180 Lbs5 ft10NoNoN/AYesYes2Pro & Farm3,000,000$3,000,000$187,500$No3,000,000$--------No--------Lien / Lien NHL
Jeff PetryCoyotesD351987-12-09No209 Lbs6 ft3NoNoN/AYesYes1Pro & Farm3,500,000$3,500,000$218,750$No------------------Lien / Lien NHL
Joshua MorrisseyCoyotesD271995-03-28No195 Lbs6 ft0NoNoN/AYesYes4Pro & Farm6,000,000$6,000,000$375,000$No6,500,000$6,500,000$7,000,000$------NoNoNo------Lien / Lien NHL
Juuse SarosCoyotesG271995-04-18No180 Lbs5 ft11NoNoN/AYesYes3Pro & Farm5,000,000$5,000,000$312,500$No5,000,000$5,000,000$-------NoNo-------Lien / Lien NHL
Kevin HayesCoyotesC301992-05-08No216 Lbs6 ft5NoNoN/AYesYes1Pro & Farm3,500,000$3,500,000$218,750$No------------------Lien / Lien NHL
Kyle OkposoCoyotesRW341988-04-16No216 Lbs6 ft0NoNoN/AYesYes2Pro & Farm3,000,000$3,000,000$187,500$No3,000,000$--------No--------Lien / Lien NHL
Mario FerraroCoyotesD241998-09-17No185 Lbs5 ft11NoNoN/AYesYes3Pro & Farm1,750,000$1,750,000$109,375$No2,000,000$2,250,000$-------NoNo-------Lien / Lien NHL
Mark ScheifeleCoyotesC291993-03-14No207 Lbs6 ft3NoNoN/AYesYes3Pro & Farm7,000,000$7,000,000$437,500$No7,000,000$7,000,000$-------NoNo-------Lien / Lien NHL
Oskar SundqvistCoyotesC/RW281994-03-23No209 Lbs6 ft3NoNoN/AYesYes2Pro & Farm1,500,000$1,500,000$93,750$No1,500,000$--------No--------Lien / Lien NHL
Radek FaksaCoyotesC/LW281994-01-09No220 Lbs6 ft3NoNoN/AYesYes2Pro & Farm2,000,000$2,000,000$125,000$No2,500,000$--------No--------Lien / Lien NHL
Roman JosiCoyotesD321990-06-01No201 Lbs6 ft1NoNoN/AYesYes1Pro & Farm7,500,000$7,500,000$468,750$No------------------Lien / Lien NHL
Tage ThompsonCoyotesC251997-10-30No215 Lbs6 ft6NoNoN/AYesYes4Pro & Farm5,000,000$5,000,000$312,500$No6,000,000$6,500,000$7,000,000$------NoNoNo------Lien / Lien NHL
Thatcher DemkoCoyotesG271995-12-07No192 Lbs6 ft4NoNoN/AYesYes4Pro & Farm2,500,000$2,500,000$156,250$No3,500,000$3,500,000$3,500,000$------NoNoNo------Lien / Lien NHL
Travis SanheimCoyotesD261996-03-28No181 Lbs6 ft3NoNoN/AYesYes1Pro & Farm2,000,000$2,000,000$125,000$No------------------Lien / Lien NHL
Viktor ArvidssonCoyotesLW/RW291993-04-08No180 Lbs5 ft9NoNoN/AYesYes1Pro & Farm3,500,000$3,500,000$218,750$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2129.14204 Lbs6 ft22.193,520,893$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
73,938,750$52,383,750$35,750,000$22,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Boone JennerMark ScheifeleTage Thompson40014
2David PerronBrock NelsonKyle Okposo30023
3Kevin HayesJean-Gabriel PageauViktor Arvidsson20122
4Jack McBainRadek FaksaOskar Sundqvist10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJoshua Morrissey40122
2Jack JohnsonRoman Josi30122
3Mario FerraroTravis Sanheim20131
4Jack JohnsonJoshua Morrissey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brock NelsonMark ScheifeleTage Thompson60014
2Boone JennerJean-Gabriel PageauDavid Perron40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Joshua MorrisseyRoman Josi60113
2Jeff PetryTravis Sanheim40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jean-Gabriel PageauBoone Jenner60131
2Radek FaksaKyle Okposo40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryMario Ferraro60131
2Travis SanheimJack Johnson40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jean-Gabriel Pageau60140Jeff PetryMario Ferraro60140
2Radek Faksa40140Travis SanheimJack Johnson40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mark ScheifeleTage Thompson60014
2Boone JennerBrock Nelson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeff PetryJoshua Morrissey60122
2Roman JosiTravis Sanheim40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boone JennerMark ScheifeleTage ThompsonRoman JosiJoshua Morrissey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Boone JennerJean-Gabriel PageauOskar SundqvistJack JohnsonMario Ferraro
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Scheifele, Tage Thompson, Brock NelsonMark Scheifele, Tage ThompsonMark Scheifele
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Roman Josi, Joshua Morrissey, Jack JohnsonJoshua MorrisseyRoman Josi, Joshua Morrissey
Tirs de pénalité
Tage Thompson, Kyle Okposo, Brock Nelson, Kevin Hayes, Mark Scheifele
Gardien
#1 : Juuse Saros, #2 : Thatcher Demko
Lignes d’attaque personnalisées en prolongation
Mark Scheifele, Tage Thompson, Boone Jenner, David Perron, Brock Nelson, Jean-Gabriel Pageau, Jean-Gabriel Pageau, Kevin Hayes, Kyle Okposo, Viktor Arvidsson, Radek Faksa
Lignes de défense personnalisées en prolongation
Roman Josi, Jack Johnson, Joshua Morrissey, Mario Ferraro, Travis Sanheim


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
1Blackhawks8420200025187421010001394421010001293120.75025406500698227810496708256835716623313.04%26388.46%21008189753.14%963188950.98%648115855.96%1781031667514170
2Blue Jackets31200000990211000007521010000024-220.33391423105400104423230094341848900.00%90100.00%01008189753.14%963188950.98%648115855.96%643761275327
3Blues815001012235-13412000011318-540300100917-840.25022375910499027610374974253877616318633.33%28678.57%11008189753.14%963188950.98%648115855.96%1821071587114572
4Canadiens410010201495210000107432000101075281.0001422360063231315152251213142309012325.00%15193.33%01008189753.14%963188950.98%648115855.96%904988357539
5Canucks420000021165210000016332100000153260.750111829002720131385438710632237713430.77%90100.00%01008189753.14%963188950.98%648115855.96%885188397235
6Capitals21001000844110000005231000100032141.0008101800331165182124255293134300.00%8275.00%01008189753.14%963188950.98%648115855.96%442541183618
7Ducks41100002913-4210000016602010000137-440.500914230042301374449401213637247911218.18%12375.00%01008189753.14%963188950.98%648115855.96%875192377034
8Flyers31200000910-11010000013-22110000087120.3339152400135012433504109633124915213.33%6183.33%01008189753.14%963188950.98%648115855.96%684157265327
9Golden Knights85001011352015430000102010104200100115105150.93835559000111393304118889115243843617722731.82%13561.54%01008189753.14%963188950.98%648115855.96%1841101646814274
10Jets714000111823-5311000101313040300001510-550.3571830482076422258578628228704615817317.65%23578.26%01008189753.14%963188950.98%648115855.96%152861486412964
11Kings5220001015123211000007433110001088060.60015233800176217550586641697030841616.25%15286.67%01008189753.14%963188950.98%648115855.96%10558109478944
12Lightning10000010321100000103210000000000021.00034700101247151020739122244250.00%10100.00%01008189753.14%963188950.98%648115855.96%2213239189
13Maple Leafs22000000954110000005411100000041341.00091625001440732227240541616424375.00%8362.50%11008189753.14%963188950.98%648115855.96%442741183416
14Oilers541000002211112200000084432100000147780.800223557009580156505749017462329017635.29%16287.50%11008189753.14%963188950.98%648115855.96%10258111448642
15Penguins4110100114131210000017432010100079-250.625142337003371127374643312345147111327.27%7185.71%01008189753.14%963188950.98%648115855.96%865092357035
16Rangers20100001610-41010000025-31000000145-110.25061016004020712320273712218393133.33%9366.67%01008189753.14%963188950.98%648115855.96%422447183516
17Red Wings311001001091210001009631010000013-230.50010172700145099263240110331215811436.36%8275.00%01008189753.14%963188950.98%648115855.96%643867285124
18Senators21001000853110000005321000100032141.00081422001331642019214742726386233.33%9188.89%01008189753.14%963188950.98%648115855.96%392246183417
19Sharks41300000916-72110000068-22020000038-520.2509172600054013440464801505056768225.00%19668.42%01008189753.14%963188950.98%648115855.96%834687366933
Total793025072692562302639209011441431133040101606125113117-4970.6142564146704070908317272191990985690255586656815632235424.22%2414680.91%51008189753.14%963188950.98%648115855.96%1732100616977211410706
_Since Last GM Reset793025072692562302639209011441431133040101606125113117-4970.6142564146704070908317272191990985690255586656815632235424.22%2414680.91%51008189753.14%963188950.98%648115855.96%1732100616977211410706
_Vs Conference5321180313716615412251360102392751728812021147479-5620.585166269435304463539181663260056158171557538010701453423.45%1613280.12%41008189753.14%963188950.98%648115855.96%11646751129485946472
_Vs Division31111103123100964157401021595091647021024146-5360.581100162262302837307108341033632035980324215664801923.75%901978.89%31008189753.14%963188950.98%648115855.96%697408639280558282

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7997L125641467027212555866568156340
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7930257269256230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
392091144143113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4010166125113117
Derniers 10 matchs
WLOTWOTL SOWSOL
330121
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2235424.22%2414680.91%5
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
9199098569070908317
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
1008189753.14%963188950.98%648115855.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1732100616977211410706


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
12Golden Knights2Coyotes4BWSommaire du match
314Coyotes3Golden Knights2AWXSommaire du match
425Blackhawks2Coyotes3BWXSommaire du match
530Coyotes3Blues5ALSommaire du match
741Coyotes3Blackhawks5ALSommaire du match
850Blues1Coyotes5BWSommaire du match
1065Oilers1Coyotes4BWSommaire du match
1175Coyotes0Jets2ALSommaire du match
1284Jets4Coyotes5BWSommaire du match
1393Coyotes3Flyers4ALSommaire du match
1498Coyotes3Blues5ALSommaire du match
15111Coyotes4Maple Leafs1AWSommaire du match
17120Golden Knights2Coyotes7BWSommaire du match
18131Coyotes1Kings3ALSommaire du match
20138Coyotes3Golden Knights4ALXXSommaire du match
21147Blackhawks3Coyotes5BWSommaire du match
23157Coyotes3Blackhawks1AWSommaire du match
24161Blues6Coyotes5BLXXSommaire du match
26178Blue Jackets4Coyotes3BLSommaire du match
27189Coyotes2Ducks3ALXXSommaire du match
28197Coyotes4Golden Knights2AWSommaire du match
29205Senators3Coyotes5BWSommaire du match
30218Kings1Coyotes5BWSommaire du match
32232Capitals2Coyotes5BWSommaire du match
35244Coyotes2Blues3ALXSommaire du match
36251Coyotes3Kings2AWSommaire du match
37259Canucks1Coyotes5BWSommaire du match
39272Blues5Coyotes0BLSommaire du match
40282Coyotes2Blackhawks1AWXSommaire du match
42292Golden Knights5Coyotes6BWXXSommaire du match
43299Coyotes5Penguins4AWXSommaire du match
45312Canadiens2Coyotes4BWSommaire du match
46322Coyotes3Canadiens2AWXXSommaire du match
48331Sharks5Coyotes2BLSommaire du match
50343Coyotes1Blues4ALSommaire du match
51352Kings3Coyotes2BLSommaire du match
54367Rangers5Coyotes2BLSommaire du match
55375Coyotes3Jets4ALSommaire du match
56385Coyotes1Jets2ALXXSommaire du match
57393Coyotes4Canucks1AWSommaire du match
58399Maple Leafs4Coyotes5BWSommaire du match
61412Blue Jackets1Coyotes4BWSommaire du match
63419Coyotes2Sharks6ALSommaire du match
64429Sharks3Coyotes4BWSommaire du match
67439Coyotes1Canucks2ALXXSommaire du match
69447Coyotes4Rangers5ALXXSommaire du match
70456Oilers3Coyotes4BWSommaire du match
71461Coyotes9Oilers1AWSommaire du match
72475Lightning2Coyotes3BWXXSommaire du match
74486Coyotes5Golden Knights2AWSommaire du match
76493Coyotes3Capitals2AWXSommaire du match
77499Penguins2Coyotes1BLXXSommaire du match
79514Coyotes1Jets2ALSommaire du match
80517Ducks1Coyotes2BWSommaire du match
82532Coyotes1Sharks2ALSommaire du match
83539Jets7Coyotes5BLSommaire du match
84547Coyotes4Blackhawks2AWSommaire du match
85561Canadiens2Coyotes3BWXXSommaire du match
86569Coyotes4Canadiens3AWXSommaire du match
87578Ducks5Coyotes4BLXXSommaire du match
90592Coyotes2Penguins5ALSommaire du match
91602Penguins2Coyotes6BWSommaire du match
92616Flyers3Coyotes1BLSommaire du match
93622Coyotes2Blue Jackets4ALSommaire du match
95634Blackhawks1Coyotes4BWSommaire du match
96642Coyotes3Senators2AWXSommaire du match
98652Coyotes1Red Wings3ALSommaire du match
99659Golden Knights1Coyotes3BWSommaire du match
101674Blues6Coyotes3BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
105690Blackhawks3Coyotes1BLSommaire du match
106702Coyotes1Ducks4ALSommaire du match
108713Canucks2Coyotes1BLXXSommaire du match
110723Coyotes4Kings3AWXXSommaire du match
111732Red Wings2Coyotes6BWSommaire du match
113742Coyotes2Oilers1AWSommaire du match
115751Red Wings4Coyotes3BLXSommaire du match
116760Coyotes5Flyers3AWSommaire du match
119773Jets2Coyotes3BWXXSommaire du match
120784Coyotes3Oilers5ALSommaire du match
122794Oilers-Coyotes-
123800Coyotes-Lightning-
126817Jets-Coyotes-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité75005000400040001500
Prix des billets71603515150
Assistance236,985156,427149,966156,00046,239
Attendance PCT81.02%80.22%96.13%100.00%79.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
2 19118 - 86.90% 1,556,332$60,696,964$22000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
72,052,189$ 73,938,750$ 77,063,750$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
73,938,750$ 69,239,641$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,112,665$ 8 601,084$ 4,808,672$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
4,808,672$ 280,999,671$ 279,303,664$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
73,938,750$ 2,024,333$ 75,963,083$ 16,966,438$



Charte de profondeur

Ailier gaucheCentreAilier droit
Brock NelsonAGE:31PO:0OV:76
Boone JennerAGE:29PO:0OV:76
David PerronAGE:34PO:0OV:75
Viktor ArvidssonAGE:29PO:0OV:72
Radek FaksaAGE:28PO:0OV:69
Stefan NoesenAGE:29PO:0OV:68
Jack McBain (R)AGE:22PO:0OV:67
Riley SheahanAGE:31PO:0OV:63
Connor DewarAGE:23PO:0OV:63
Will Cuylle (R)AGE:20PO:0OV:62
Sheldon Rempal (R)AGE:27PO:0OV:61
Tage ThompsonAGE:25PO:0OV:78
Mark ScheifeleAGE:29PO:0OV:77
Brock NelsonAGE:31PO:0OV:76
Boone JennerAGE:29PO:0OV:76
Jean-Gabriel PageauAGE:30PO:0OV:74
Kevin HayesAGE:30PO:0OV:72
Radek FaksaAGE:28PO:0OV:69
Oskar SundqvistAGE:28PO:0OV:68
Ryan McLeodAGE:23PO:0OV:68
Jack McBain (R)AGE:22PO:0OV:67
Riley SheahanAGE:31PO:0OV:63
Connor DewarAGE:23PO:0OV:63
David PerronAGE:34PO:0OV:75
Viktor ArvidssonAGE:29PO:0OV:72
Kyle OkposoAGE:34PO:0OV:70
Oskar SundqvistAGE:28PO:0OV:68
Stefan NoesenAGE:29PO:0OV:68
Fabian Zetterlund (R)AGE:23PO:0OV:64
Sheldon Rempal (R)AGE:27PO:0OV:61

Défense #1Défense #2Gardien
Jeff PetryAGE:35PO:0OV:77
Roman JosiAGE:32PO:0OV:76
Joshua MorrisseyAGE:27PO:0OV:75
Jack JohnsonAGE:35PO:0OV:73
Mario FerraroAGE:24PO:0OV:72
Travis SanheimAGE:26PO:0OV:72
Troy StecherAGE:28PO:0OV:69
Jarred TinordiAGE:30PO:0OV:68
Justin Barron (R)AGE:21PO:0OV:65
Kaedan Korczak (R)AGE:21PO:0OV:58
Nikita Okhotiuk (R)AGE:22PO:0OV:56
Juuse SarosAGE:27PO:0OV:80
Thatcher DemkoAGE:27PO:0OV:77
Alex Stalock (R)AGE:35PO:0OV:66
Brian ElliottAGE:37PO:0OV:64
Michael HutchinsonAGE:32PO:0OV:63

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien
Alex SteenCoyotes00Lien
Alexander CampbellCoyotes27118
Anders LindbackCoyotes00
Andrej SustrCoyotes00
Andrew FritschCoyotes17126
Arturs KuldaCoyotes00
Axel HolmstromCoyotes2380
Aydar SunievCoyotes3160
Bobby FarnhamCoyotes00
Bogdan YakimovCoyotes00
Branden TroockCoyotes1975
Brandon CoeCoyotes28118
Brent Gates Jr.Coyotes2298
Brett BulmerCoyotes00
Brian LashoffCoyotes00Lien
Cameron WhynotCoyotes29136
Carl HagelinCoyotes00Lien
Christopher GibsonCoyotes00Lien
Colin GreeningCoyotes00
Colin McDonaldCoyotes00
Colin SmithCoyotes00
Daniel CatenacciCoyotes00
Dennis EverbergCoyotes00
Devin SetoguchiCoyotes00
Devin TringaleCoyotes1997
Dmytro TimashovCoyotes00
Dominik MasinCoyotes2139
Dustin JeffreyCoyotes00
Dwight KingCoyotes00
Dylan GarandCoyotes28138
Eemeli RasanenCoyotes2592
Egor ZavraginCoyotes31120
Erik CondraCoyotes00Lien
Ethan WerekCoyotes1418
Francis PerronCoyotes2498
Fraser MintenCoyotes3055
Gage GoncalvesCoyotes2897
George FegarasCoyotes30135
Hugo AlnefeltCoyotes27138
Jack DoughertyCoyotes00
Jakob Forsbacka-KarlssonCoyotes2258
Jay McClementCoyotes00
Jim O'BrienCoyotes00
Jiri TlustyCoyotes00
Joffrey LupulCoyotes00
Jonathan BernierCoyotes00Lien
Jonathan DahlenCoyotes2340
Joni OrtioCoyotes00
Jordan WealCoyotes00Lien
Josh JoorisCoyotes00
Josh LeivoCoyotes00
Kodie CurranCoyotes2199
Lane ZablockiCoyotes25115
Mark CundariCoyotes00
Mark FayneCoyotes00
Markus GranlundCoyotes00
Markus NutivaaraCoyotes00Lien
Martins DzierkalsCoyotes2278
Matthew CoronatoCoyotes2916
Matthew DeblouwCoyotes1964
Matyas SapovalivCoyotes3075
Michael GrabnerCoyotes00Lien
Mike RichardsCoyotes00
Mike WeaverCoyotes00
Morgan KlimchukCoyotes00
Nate GueninCoyotes00
Nick MattsonCoyotes15131
Oliver JohanssonCoyotes29114
Oskari LaaksonenCoyotes25135
Patrik HamrlaCoyotes29116
Paul PostmaCoyotes00
Perttu LindgrenCoyotes00
Petteri LindbohmCoyotes00
Raman HrabarenkaCoyotes00
Ryan SproulCoyotes00
Ryan StoaCoyotes00
Ryan WintertonCoyotes2996
Sam HarrisCoyotes31140
Tanner RichardCoyotes00
Troy BodieCoyotes00
Troy RutkowskiCoyotes1684
Tyler BiggsCoyotes1813
Tyler GraovacCoyotes00Lien
Tyler KlevenCoyotes2850
William WhitelawCoyotes3180
Willie MitchellCoyotes00
Xavier BernardCoyotes26126
Ziyat PaiginCoyotes23100

Choix au repêchage

Année R1R2R3R4R5R6R7
32
33
34
35
36
Choix au repêchage conditionnel



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


Coyotes Historique de transactions

[2024-01-14 10:59:01] - TRADE : From Flyers to Coyotes : Alex Stalock (66), Brian Elliott (65), Justin Barron (65), Michael Hutchinson (64), Sheldon Rempal (61).
[2024-01-14 10:59:01] - TRADE : From Coyotes to Flyers : Jake Muzzin (66).
[2024-01-10 22:31:52] - Jordan Oesterle was released.
[2024-01-10 22:31:52] - Coyotes paid $0 to release Jordan Oesterle.
[2024-01-10 22:31:39] - Brendan Gallagher was released.
[2024-01-10 22:31:39] - Coyotes paid $0 to release Brendan Gallagher.
[2024-01-10 22:31:12] - Stefan Noesen signed with Coyotes for $1,154,345 for 1 year(s).
[2024-01-10 22:31:12] - Stefan Noesen was added to Coyotes.
[2024-01-10 22:30:28] - Troy Stecher signed with Coyotes for $1,322,500 for 1 year(s).
[2024-01-10 22:30:28] - Troy Stecher was added to Coyotes.
[2024-01-10 22:29:38] - Jarred Tinordi signed with Coyotes for $805,000 for 1 year(s).
[2024-01-10 22:29:38] - Jarred Tinordi was added to Coyotes.



[2024-05-08 23:21:49] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database.
[2024-05-06 22:59:28] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:bc73:f8fc:5509:a979 .
[2024-05-03 23:28:20] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database from IP:2001:56b:de8e:8500:b930:ff14:82ac:5148 .
[2024-05-02 00:04:24] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database from IP:70.26.253.154 .
[2024-04-26 23:16:34] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database.
[2024-04-21 22:56:46] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database from IP:2607:fa49:2540:fa00:f191:b56d:7ff4:c0e6 .
[2024-04-19 17:14:19] Successfully loaded Coyotes lines done with Web Base Client and SQLite Database from IP:2607:fa49:2540:fa00:b537:c094:6139:306a .



Pas de blessure ou de suspension.


Coyotes 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

Coyotes 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

Coyotes 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

Coyotes 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

Coyotes 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