Phoenix Coyotes

GP: 82 | W: 45 | L: 29 | OTL: 8 | P: 98
GF: 237 | GA: 229 | PP%: 16.29% | PK%: 82.69%
DG: Richard Boivin | Morale : 65 | Moyenne d'Équipe : 71
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Nathan MacKinnon (C)XX100.005939779075889589828887628669788968780
2Jack EichelX100.006838828681849083818578648266838973760
3Mika ZibanejadX100.008141848183879580847779767871738473760
4Ryan O'Reilly (A)X100.005736937881879577908176837375736469750
5Paul ByronXX100.008343867662776974587173807278733973710
6Chris TierneyX100.005438896776829465807666746369666873690
7Marcus FolignoXX100.008967696489719563566562746375685176680
8Sven BaertschiX100.005737857270786671537375647173677273680
9Andrew LaddXX100.007640826682715967517066756884744964670
10Ryan KeslerX100.008153686582817364836163776285764255670
11Ryan HartmanXX100.008055686971739567616668636569677573670
12Logan ShawXX100.007638915985939158696057735673675643650
13Kris Letang (A)X100.008143727875937476308474836280755372760
14Nick HoldenX100.008337896489837463307259785180722771710
15Alex GoligoskiX100.007937876769878965307766745884743648710
16Torey KrugX100.006947807867868277308871635675705650710
17Luke SchennX100.009849775985786258306453734878706566680
18Thomas HickeyX100.007344786471766363307458815378707138680
Rayé
1Brad HuntX100.005637906567775563307466585479723455630
MOYENNE D'ÉQUIPE100.00744381717782807056746872647672596470
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jaroslav Halak100.00928684699190929190929184882661850
2Brad Thiessen100.00777371707675777675777682873368750
Rayé
MOYENNE D'ÉQUIPE100.0085807870848385848385848388306580
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Quenneville72718481908455CAN6044,000,000$


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
1Nathan MacKinnonPhoenix CoyotesC/RW823242741618093180374982578.56%13181322.124101465275000111783247.20%12500100.8216000874
2Ryan O'ReillyPhoenix CoyotesC82254671148038316269841879.29%30197224.05214166927800033472155.05%295000110.7201000257
3Kris LetangPhoenix CoyotesD82125668-111620215183154471127.79%141212525.9261117902780001262110.00%000010.6400022322
4Jack EichelPhoenix CoyotesC8223436610355133142244701859.43%12159019.4031215382740000129150.76%71900100.8326100942
5Mika ZibanejadPhoenix CoyotesC82293665177401871982746919210.58%15160019.52815237224600031462055.11%135000000.8112000554
6Matthew TkachukRoadrunners (PHX)LW75241943-25420143661704512114.12%5131617.556612292210000287240.54%7400000.6525004235
7Torey KrugPhoenix CoyotesD7243236-8675118817930415.06%73160822.353710492340000165000.00%400000.4500001204
8Paul ByronPhoenix CoyotesLW/RW82171936439587126177591389.60%22134716.43358206600083023138.33%12000000.5301001112
9Nick HoldenPhoenix CoyotesD80324277620126695317495.66%95179222.40145181280002253000.00%000000.3000000011
10Thomas HickeyPhoenix CoyotesD688192784601058460194913.33%82134219.755510321840000189020.00%000000.4000000221
11Sven BaertschiPhoenix CoyotesLW8214112511202464125348611.20%10118714.4853825198000003146.81%9400000.4201000034
12Alex GoligoskiPhoenix CoyotesD6051924-1159585646219358.06%71125921.00314311960001123300.00%000000.3800010111
13Chris TierneyPhoenix CoyotesC8281523120711710525717.62%788910.85000030001921052.33%96500000.5200000102
14Brad HuntPhoenix CoyotesD53514191020028192951917.24%4889416.8722413128000076110.00%000000.4200000101
15Luke SchennPhoenix CoyotesD7321517513115216423710275.41%52124917.111231076000088100.00%000000.2700003102
16Marcus FolignoPhoenix CoyotesLW/RW8261016-55715106408919696.74%166678.1500000000001052.38%4200000.4800201010
17Andrew LaddPhoenix CoyotesLW/RW778715-4260805470144611.43%87029.12112331000051138.10%4200000.4312000010
18Ryan KeslerPhoenix CoyotesC7986143240569261184813.11%77008.860002000021332153.62%71800000.4001000001
19Ryan HartmanPhoenix CoyotesLW/RW823710-944062395525595.45%45246.3900000000001045.45%3300000.3800000010
20Chris CastoRoadrunners (PHX)D711781753512118176105.88%26100214.1200007000047000.00%000000.1600000100
21Logan ShawPhoenix CoyotesC/RW46336-116037484410246.82%149410.74000020000390043.97%25700000.2400000000
22Cole SchneiderRoadrunners (PHX)LW5011100013220.00%0326.41000000000000100.00%200000.6200000000
23Matt BartkowskiRoadrunners (PHX)D2000100001000.00%13517.650000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1581240451691649539520672043255272518279.40%7392614816.5453981515662835000322495411452.97%749500320.537253312393743
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
1Jaroslav HalakPhoenix Coyotes61332060.9092.7235298116017550100.800205920751
2Brad ThiessenPhoenix Coyotes2612920.8992.79144320676660101.00032359111
Stats d'équipe Total ou en Moyenne87452980.9062.74497210122724210200.826238279862


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 Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alex GoligoskiPhoenix CoyotesD331985-07-30No185 Lbs5 ft11NoNoNo2Pro & Farm3,500,000$3,500,000$0$No3,500,000$Lien
Andrew LaddPhoenix CoyotesLW/RW331985-12-12No192 Lbs6 ft3NoNoNo1Pro & Farm2,500,000$2,500,000$0$NoLien
Brad HuntPhoenix CoyotesD301988-08-24No187 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Brad ThiessenPhoenix CoyotesG331986-03-19No180 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$No500,000$Lien
Chris TierneyPhoenix CoyotesC251994-07-01No195 Lbs6 ft1NoNoNo4Pro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$1,000,000$Lien
Jack EichelPhoenix CoyotesC221996-10-28No200 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$NoLien
Jaroslav HalakPhoenix CoyotesG341985-05-13No185 Lbs5 ft11NoNoNo1Pro & Farm3,500,000$3,500,000$0$NoLien
Kris LetangPhoenix CoyotesD321987-04-24No201 Lbs6 ft0NoNoNo1Pro & Farm6,500,000$6,500,000$0$NoLien
Logan ShawPhoenix CoyotesC/RW261992-10-05No208 Lbs6 ft3NoNoNo2Pro & Farm300,000$300,000$0$No300,000$Lien
Luke SchennPhoenix CoyotesD291989-11-02No221 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$NoLien
Marcus FolignoPhoenix CoyotesLW/RW271991-08-10No228 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$1,000,000$0$NoLien
Mika ZibanejadPhoenix CoyotesC261993-04-18No213 Lbs6 ft2NoNoNo2Pro & Farm2,690,000$2,690,000$0$No2,690,000$Lien
Nathan MacKinnonPhoenix CoyotesC/RW231995-09-01No205 Lbs6 ft0NoNoNo2Pro & Farm5,000,000$5,000,000$0$No5,000,000$Lien
Nick HoldenPhoenix CoyotesD321987-05-15No214 Lbs6 ft4NoNoNo2Pro & Farm2,500,000$2,500,000$0$No2,500,000$Lien
Paul ByronPhoenix CoyotesLW/RW301989-04-27No163 Lbs5 ft9NoNoNo3Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$Lien
Ryan HartmanPhoenix CoyotesLW/RW241994-09-20No181 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$NoLien
Ryan KeslerPhoenix CoyotesC341984-08-31No206 Lbs6 ft2NoNoNo4Pro & Farm1,000,000$1,000,000$0$No1,000,000$1,000,000$1,000,000$Lien
Ryan O'ReillyPhoenix CoyotesC281991-02-07No216 Lbs6 ft1NoNoNo4Pro & Farm5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$Lien
Sven BaertschiPhoenix CoyotesLW261992-10-05No190 Lbs5 ft11NoNoNo2Pro & Farm2,500,000$2,500,000$0$No2,500,000$Lien
Thomas HickeyPhoenix CoyotesD301989-02-08No183 Lbs6 ft0NoNoNo3Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$Lien
Torey KrugPhoenix CoyotesD281991-04-12No186 Lbs5 ft9NoNoNo4Pro & Farm3,500,000$3,500,000$0$No3,500,000$3,500,000$3,500,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2128.81197 Lbs6 ft12.142,375,714$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
49,890,000$33,990,000$16,500,000$10,500,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack EichelRyan O'ReillyNathan MacKinnon41023
2Sven BaertschiMika ZibanejadPaul Byron32023
3Marcus FolignoChris TierneyRyan Hartman19131
4Andrew LaddRyan KeslerLogan Shaw8122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangThomas Hickey41122
2Torey KrugNick Holden31122
3Alex GoligoskiLuke Schenn18122
4Kris LetangNick Holden10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack EichelRyan O'ReillyNathan MacKinnon60023
2Andrew LaddMika ZibanejadTorey Krug40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangAlex Goligoski60122
2Paul ByronThomas Hickey40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Ryan O'ReillyNathan MacKinnon60122
2Mika ZibanejadPaul Byron40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangNick Holden60131
2Torey KrugThomas Hickey40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan O'Reilly60122Kris LetangNick Holden60122
2Mika Zibanejad40122Torey KrugThomas Hickey40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Ryan O'ReillyNathan MacKinnon60122
2Mika ZibanejadJack Eichel40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kris LetangNick Holden60122
2Torey KrugThomas Hickey40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jack EichelRyan O'ReillyNathan MacKinnonKris LetangTorey Krug
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mika ZibanejadRyan O'ReillyNathan MacKinnonKris LetangNick Holden
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nathan MacKinnon, Mika Zibanejad, Paul ByronChris Tierney, Nathan MacKinnonChris Tierney
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kris Letang, Nick Holden, Torey KrugNick HoldenKris Letang, Nick Holden
Tirs de Pénalité
Nathan MacKinnon, Jack Eichel, Andrew Ladd, Mika Zibanejad, Ryan O'Reilly
Gardien
#1 : Jaroslav Halak, #2 : Brad Thiessen


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Anaheim Ducks4210000112111220000008442010000147-350.62512223400732113057383458923307823313.04%14285.71%01585289254.81%1499285452.52%670129651.70%1027391305025
2Boston Bruins2020000026-41010000014-31010000012-100.000246000200613315130511817418112.50%60100.00%01585289254.81%1499285452.52%670129651.70%453149142411
3Buffalo Sabres211000005321010000012-11100000041320.5005914003110561919180711818306116.67%80100.00%01585289254.81%1499285452.52%670129651.70%483448142311
4Calgary Flames4120001012111211000007612010001055040.500122234003531121393740812441489312216.67%12283.33%01585289254.81%1499285452.52%670129651.70%966696285226
5Carolina Hurricanes21001000853100010004311100000042241.000812200004315572224261231845200.00%8187.50%01585289254.81%1499285452.52%670129651.70%453051132311
6Chicago Blackhawks32000100743210001003301100000041350.833713200032201123731404802146591700.00%12191.67%01585289254.81%1499285452.52%670129651.70%755170243719
7Colorado Avalanche31200000811-31010000024-22110000067-120.333816240032308533282409030145116318.75%7271.43%01585289254.81%1499285452.52%670129651.70%755366223720
8Columbus Blue Jackets210001004401000010023-11100000021130.7504812003100612622112722028367114.29%9188.89%01585289254.81%1499285452.52%670129651.70%443054152411
9Dallas Stars30101100812-42010100058-31000010034-130.5008152300151193372920786292979500.00%11281.82%01585289254.81%1499285452.52%670129651.70%634282244017
10Detroit Red Wings2010100047-3100010004311010000004-420.5004711001201612215222601231375120.00%10280.00%01585289254.81%1499285452.52%670129651.70%534044122311
11Edmonton Oilers4220000011110211000006422110000057-240.5001120310035301193352340147384210011218.18%20385.00%01585289254.81%1499285452.52%670129651.70%8759105294722
12Florida Panthers22000000624110000002111100000041341.00061218001230411412150631422377114.29%11190.91%01585289254.81%1499285452.52%670129651.70%452949152513
13Los Angeles Kings430001001596210001006512200000094570.87515264100645013352473409933226719421.05%11281.82%01585289254.81%1499285452.52%670129651.70%1037386295026
14Minnesota Wild3120000011101211000009721010000023-120.333111728003530822729260101303674800.00%12466.67%01585289254.81%1499285452.52%670129651.70%735272193416
15Montreal Canadiens21100000660110000003211010000034-120.50061117002130561422200711622437114.29%11372.73%01585289254.81%1499285452.52%670129651.70%402753152511
16Nashville Predators310000111082210000015411000001054150.83310172700342181331629978244764500.00%21480.95%01585289254.81%1499285452.52%670129651.70%755176223818
17New Jersey Devils20200000210-81010000014-31010000016-500.000246000110572218170681932357114.29%7271.43%01585289254.81%1499285452.52%670129651.70%442949152512
18New York Islanders21001000743110000003121000100043141.00071421003121511913181682426536116.67%120100.00%01585289254.81%1499285452.52%670129651.70%422852152512
19New York Rangers2010001056-11010000035-21000001021120.5005813000312511416177681820348225.00%8275.00%01585289254.81%1499285452.52%670129651.70%463252152512
20Ottawa Senators22000000936110000004221100000051441.000916250036006523231903915124312541.67%60100.00%01585289254.81%1499285452.52%670129651.70%533741142513
21Philadelphia Flyers2110000079-2110000006331010000016-520.50071421005200732827180521544210330.00%2150.00%01585289254.81%1499285452.52%670129651.70%523942132513
22Pittsburgh Penguins2110000045-1110000002111010000024-220.5004711001120661821270611618467114.29%9366.67%01585289254.81%1499285452.52%670129651.70%493344142613
23San Jose Sharks422000001214-22200000074320200000510-540.500122335005340119354143013040207316212.50%9188.89%01585289254.81%1499285452.52%670129651.70%946795304925
24St. Louis Blues30002100981100010004312000110055050.833916250032228431252448914288317423.53%12283.33%01585289254.81%1499285452.52%670129651.70%704976223819
25Tampa Bay Lightning211000001101010000001-11100000010120.500123010010602217210521224431218.33%110100.00%01585289254.81%1499285452.52%670129651.70%493347132211
26Toronto Maple Leafs2010100067-11010000024-21000100043120.500611170011315519132126218264210110.00%12375.00%01585289254.81%1499285452.52%670129651.70%493447152512
Total82342907642237229841191304401120111941151603241117118-1980.5982374296660183826114245384377779265242168982717773135116.29%3355882.69%01585289254.81%1499285452.52%670129651.70%1955136019896051031513
28Vancouver Canucks41200010121112020000036-32100001095440.50012193100524210538323211125254612511436.36%23673.91%01585289254.81%1499285452.52%670129651.70%8556107315225
29Vegas Golden Knights53200000171432200000011833120000066060.6001732490078201655154600130395511416318.75%22481.82%01585289254.81%1499285452.52%670129651.70%12488113356232
30Washington Capitals2110000057-2110000003211010000025-320.500591400122050121721056162037800.00%8187.50%01585289254.81%1499285452.52%670129651.70%463149132412
31Winnipeg Jets32000100121021000010034-12200000096350.83312233500723010528265017828267315320.00%11372.73%01585289254.81%1499285452.52%670129651.70%724969213920
_Since Last GM Reset82342907642237229841191304401120111941151603241117118-1980.5982374296660183826114245384377779265242168982717773135116.29%3355882.69%01585289254.81%1499285452.52%670129651.70%1955136019896051031513
_Vs Conference502116035321561441225127023017970925990123177743610.610156281437005952398153453148549049144641548911331913015.71%1973880.71%01585289254.81%1499285452.52%670129651.70%11988331210372633317
_Vs Division291411001219181101494001004837111557000214344-1340.58691164255003630234892305301277248442392636501082018.52%1112081.98%01585289254.81%1499285452.52%670129651.70%693484696214365184

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8298OTL123742966624532421689827177701
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8234297642237229
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119134401120111
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4115163241117118
Derniers 10 Matchs
WLOTWOTL SOWSOL
251101
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3135116.29%3355882.69%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
8437777926583826114
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
1585289254.81%1499285452.52%670129651.70%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1955136019896051031513


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2019-09-0312Phoenix Coyotes2Anaheim Ducks4LSommaire du Match
4 - 2019-09-0526Boston Bruins4Phoenix Coyotes1LSommaire du Match
9 - 2019-09-1057Vegas Golden Knights4Phoenix Coyotes6WSommaire du Match
11 - 2019-09-1272Phoenix Coyotes3Colorado Avalanche2WSommaire du Match
14 - 2019-09-1587Phoenix Coyotes5Winnipeg Jets3WSommaire du Match
16 - 2019-09-17104Nashville Predators2Phoenix Coyotes4WSommaire du Match
18 - 2019-09-19115Ottawa Senators2Phoenix Coyotes4WSommaire du Match
21 - 2019-09-22136Phoenix Coyotes2New York Rangers1WXXSommaire du Match
23 - 2019-09-24146Phoenix Coyotes4New York Islanders3WXSommaire du Match
24 - 2019-09-25157Phoenix Coyotes1New Jersey Devils6LSommaire du Match
27 - 2019-09-28177Phoenix Coyotes4Buffalo Sabres1WSommaire du Match
29 - 2019-09-30191Montreal Canadiens2Phoenix Coyotes3WSommaire du Match
32 - 2019-10-03214Colorado Avalanche4Phoenix Coyotes2LSommaire du Match
34 - 2019-10-05223Phoenix Coyotes2Edmonton Oilers5LSommaire du Match
35 - 2019-10-06231Phoenix Coyotes4Calgary Flames3WXXSommaire du Match
37 - 2019-10-08246Columbus Blue Jackets3Phoenix Coyotes2LXSommaire du Match
39 - 2019-10-10259Minnesota Wild3Phoenix Coyotes7WSommaire du Match
41 - 2019-10-12270Phoenix Coyotes2Washington Capitals5LSommaire du Match
42 - 2019-10-13275Phoenix Coyotes4St. Louis Blues3WXSommaire du Match
44 - 2019-10-15289Phoenix Coyotes2Minnesota Wild3LSommaire du Match
46 - 2019-10-17301Calgary Flames1Phoenix Coyotes3WSommaire du Match
48 - 2019-10-19317Los Angeles Kings1Phoenix Coyotes3WSommaire du Match
51 - 2019-10-22343Toronto Maple Leafs4Phoenix Coyotes2LSommaire du Match
53 - 2019-10-24350Phoenix Coyotes4Los Angeles Kings2WSommaire du Match
54 - 2019-10-25364Edmonton Oilers2Phoenix Coyotes5WSommaire du Match
57 - 2019-10-28386Anaheim Ducks2Phoenix Coyotes3WSommaire du Match
59 - 2019-10-30399Phoenix Coyotes5Vegas Golden Knights3WSommaire du Match
60 - 2019-10-31411San Jose Sharks2Phoenix Coyotes3WSommaire du Match
63 - 2019-11-03429Phoenix Coyotes2Columbus Blue Jackets1WSommaire du Match
65 - 2019-11-05442Phoenix Coyotes1Philadelphia Flyers6LSommaire du Match
66 - 2019-11-06449Phoenix Coyotes2Pittsburgh Penguins4LSommaire du Match
68 - 2019-11-08466Phoenix Coyotes4Chicago Blackhawks1WSommaire du Match
70 - 2019-11-10480Calgary Flames5Phoenix Coyotes4LSommaire du Match
72 - 2019-11-12495Chicago Blackhawks1Phoenix Coyotes2WSommaire du Match
74 - 2019-11-14512New Jersey Devils4Phoenix Coyotes1LSommaire du Match
77 - 2019-11-17534Phoenix Coyotes3San Jose Sharks6LSommaire du Match
79 - 2019-11-19546Minnesota Wild4Phoenix Coyotes2LSommaire du Match
82 - 2019-11-22567Phoenix Coyotes0Detroit Red Wings4LSommaire du Match
83 - 2019-11-23576Phoenix Coyotes5Nashville Predators4WXXSommaire du Match
88 - 2019-11-28600Phoenix Coyotes1Vegas Golden Knights2LSommaire du Match
89 - 2019-11-29609Dallas Stars3Phoenix Coyotes4WXSommaire du Match
91 - 2019-12-01625St. Louis Blues3Phoenix Coyotes4WXSommaire du Match
93 - 2019-12-03636Anaheim Ducks2Phoenix Coyotes5WSommaire du Match
95 - 2019-12-05650Philadelphia Flyers3Phoenix Coyotes6WSommaire du Match
98 - 2019-12-08664Phoenix Coyotes4Florida Panthers1WSommaire du Match
100 - 2019-12-10680Phoenix Coyotes1Tampa Bay Lightning0WSommaire du Match
101 - 2019-12-11690Phoenix Coyotes4Carolina Hurricanes2WSommaire du Match
103 - 2019-12-13706Pittsburgh Penguins1Phoenix Coyotes2WSommaire du Match
105 - 2019-12-15724San Jose Sharks2Phoenix Coyotes4WSommaire du Match
107 - 2019-12-17739Phoenix Coyotes4Vancouver Canucks1WSommaire du Match
109 - 2019-12-19745Phoenix Coyotes3Edmonton Oilers2WSommaire du Match
120 - 2019-12-30778Phoenix Coyotes2Anaheim Ducks3LXXSommaire du Match
121 - 2019-12-31784Los Angeles Kings4Phoenix Coyotes3LXSommaire du Match
123 - 2020-01-02800Chicago Blackhawks2Phoenix Coyotes1LXSommaire du Match
126 - 2020-01-05824Edmonton Oilers2Phoenix Coyotes1LSommaire du Match
128 - 2020-01-07838Carolina Hurricanes3Phoenix Coyotes4WXSommaire du Match
130 - 2020-01-09844Phoenix Coyotes1Boston Bruins2LSommaire du Match
132 - 2020-01-11860Phoenix Coyotes3Montreal Canadiens4LSommaire du Match
133 - 2020-01-12867Phoenix Coyotes4Toronto Maple Leafs3WXSommaire du Match
135 - 2020-01-14885Phoenix Coyotes5Ottawa Senators1WSommaire du Match
137 - 2020-01-16904Washington Capitals2Phoenix Coyotes3WSommaire du Match
139 - 2020-01-18917New York Islanders1Phoenix Coyotes3WSommaire du Match
141 - 2020-01-20929Phoenix Coyotes3Dallas Stars4LXSommaire du Match
142 - 2020-01-21938Phoenix Coyotes1St. Louis Blues2LXSommaire du Match
144 - 2020-01-23954Tampa Bay Lightning1Phoenix Coyotes0LSommaire du Match
147 - 2020-01-26979Florida Panthers1Phoenix Coyotes2WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
151 - 2020-01-301006Buffalo Sabres2Phoenix Coyotes1LSommaire du Match
155 - 2020-02-031032Phoenix Coyotes5Vancouver Canucks4WXXSommaire du Match
157 - 2020-02-051046Phoenix Coyotes1Calgary Flames2LSommaire du Match
160 - 2020-02-081067Phoenix Coyotes4Winnipeg Jets3WSommaire du Match
163 - 2020-02-111092Vancouver Canucks3Phoenix Coyotes2LSommaire du Match
165 - 2020-02-131107New York Rangers5Phoenix Coyotes3LSommaire du Match
167 - 2020-02-151122Dallas Stars5Phoenix Coyotes1LSommaire du Match
169 - 2020-02-171135Vegas Golden Knights4Phoenix Coyotes5WSommaire du Match
171 - 2020-02-191152Detroit Red Wings3Phoenix Coyotes4WXSommaire du Match
173 - 2020-02-211169Phoenix Coyotes5Los Angeles Kings2WSommaire du Match
176 - 2020-02-241190Phoenix Coyotes0Vegas Golden Knights1LSommaire du Match
179 - 2020-02-271214Nashville Predators2Phoenix Coyotes1LXXSommaire du Match
180 - 2020-02-281223Phoenix Coyotes2San Jose Sharks4LSommaire du Match
182 - 2020-03-011235Phoenix Coyotes3Colorado Avalanche5LSommaire du Match
184 - 2020-03-031253Vancouver Canucks3Phoenix Coyotes1LSommaire du Match
186 - 2020-03-051259Winnipeg Jets4Phoenix Coyotes3LXSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets100603520200
Assistance234,370198,37579,183157,52239,735
Attendance PCT95.27%96.77%96.56%96.05%96.91%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 17297 - 96.10% 612,104$25,096,255$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
52,398,832$ 49,890,000$ 22,475,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
49,890,000$ 48,275,779$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 288,182$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
0$ 49,890,000$ 29,117,466$ 29,117,466$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Matthew TkachukAGE:21PO:88OV:71
Paul ByronAGE:30PO:39OV:71
Sven BaertschiAGE:26PO:72OV:68
Marcus FolignoAGE:27PO:51OV:68
Ryan HartmanAGE:24PO:75OV:67
Andrew LaddAGE:33PO:49OV:67
Conor ShearyAGE:27PO:37OV:64
Cole SchneiderAGE:28PO:56OV:63
Eric TangradiAGE:30PO:59OV:61
Jamie DevaneAGE:28PO:57OV:59
Nathan MacKinnonAGE:23PO:89OV:78
Jack EichelAGE:22PO:89OV:76
Mika ZibanejadAGE:26PO:84OV:76
Ryan O'ReillyAGE:28PO:64OV:75
Chris TierneyAGE:25PO:68OV:69
Ryan KeslerAGE:34PO:42OV:67
Logan ShawAGE:26PO:56OV:65
Brad MaloneAGE:30PO:52OV:61
Brendan WoodsAGE:27PO:58OV:60
Axel HolmstromAGE:23PO:62OV:59
Ben HolmstromAGE:32PO:53OV:58
Nathan MacKinnonAGE:23PO:89OV:78
Paul ByronAGE:30PO:39OV:71
Marcus FolignoAGE:27PO:51OV:68
Ryan HartmanAGE:24PO:75OV:67
Andrew LaddAGE:33PO:49OV:67
Logan ShawAGE:26PO:56OV:65
Conor ShearyAGE:27PO:37OV:64
Mike SisloAGE:31PO:54OV:58
Ryan WhiteAGE:31PO:52OV:58
Luke WitkowskiAGE:29PO:40OV:57

Défense #1Défense #2Gardien
Kris LetangAGE:32PO:53OV:76
Torey KrugAGE:28PO:56OV:71
Alex GoligoskiAGE:33PO:36OV:71
Nick HoldenAGE:32PO:27OV:71
Thomas HickeyAGE:30PO:71OV:68
Luke SchennAGE:29PO:65OV:68
Christian JarosAGE:23PO:56OV:64
Chris CastoAGE:27PO:57OV:63
Zach TrotmanAGE:28PO:48OV:63
Brad HuntAGE:30PO:34OV:63
Matt BartkowskiAGE:31PO:46OV:62
Jaroslav HalakAGE:34PO:26OV:85
Brad ThiessenAGE:33PO:33OV:75
Michael LeightonAGE:38PO:25OV:71

Éspoirs

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Arvid HolmPhoenix Coyotes13174
David HrenakPhoenix Coyotes14164
Dylan FergusonPhoenix Coyotes
Jan DrozgPhoenix Coyotes13100
Jesper SellgrenPhoenix Coyotes14102
Roman DurnyPhoenix Coyotes14136
Vladislav YeryomenkoPhoenix Coyotes14167

Choix au Repêchage

Année R1R2R3R4R5R6
15New Chi
16Pit
17Cal Pit Tor Tor
18Wpg Cal NYR Tam Phi NYI PHX Tam Clb PHX Clb Min PHX San MTL Dal PHX Buf Wpg MTL Bos Nas VGK VGK PHX Min NYI
19PHX PHX PHX PHX PHX PHX MTL



[2020-03-23 05:11:47] - TRADE : From Phoenix Coyotes to Ottawa Senators : Markus Granlund (66).
[2020-03-19 10:51:21] - TRADE : From Florida Panthers to Phoenix Coyotes : Ryan Kesler (67).
[2020-03-15 05:32:20] - TRADE : From Florida Panthers to Phoenix Coyotes : Luke Schenn (67).
[2020-02-24 16:26:41] - TRADE : From Phoenix Coyotes to Montreal Canadiens : Egor Yakovlev (63).
[2020-02-24 16:26:41] - TRADE : From Montreal Canadiens to Phoenix Coyotes : Y:19-RND:6-MTL.
[2020-02-13 11:06:13] - TRADE : From Montreal Canadiens to Phoenix Coyotes : Markus Granlund (66).
[2020-02-13 11:06:13] - TRADE : From Phoenix Coyotes to Montreal Canadiens : Marcus Kruger (63).
[2020-02-05 08:32:49] - TRADE : From Boston Bruins to Phoenix Coyotes : Logan Shaw (64).
[2020-01-18 09:25:30] - TRADE : From Montreal Canadiens to Phoenix Coyotes : Y:18-RND:4-MTL.
[2020-01-18 09:25:30] - TRADE : From Phoenix Coyotes to Montreal Canadiens : Justin Dowling (61).
[2019-12-18 07:41:57] - TRADE : From Phoenix Coyotes to Dallas Stars : Linus Olund (57).
[2019-12-18 07:41:57] - TRADE : From Dallas Stars to Phoenix Coyotes : Y:18-RND:5-Dal.
[2019-12-14 09:30:45] - TRADE : From Toronto Maple Leafs to Phoenix Coyotes : Egor Yakovlev (63).
[2019-12-09 05:02:58] - TRADE : From Phoenix Coyotes to New York Islanders : Cam Fowler (72), Y:15-RND:2-San.
[2019-12-09 05:02:58] - TRADE : From New York Islanders to Phoenix Coyotes : Torey Krug (71), Y:18-RND:1-NYI.
[2019-11-28 05:13:41] - TRADE : From Phoenix Coyotes to Vegas Golden Knights : Dylan Sikura (62).
[2019-11-24 13:33:05] - TRADE : From Phoenix Coyotes to Boston Bruins : Cameron Hughes (58).
[2019-11-24 13:33:05] - TRADE : From Boston Bruins to Phoenix Coyotes : Y:18-RND:3-Min.
[2019-11-22 15:24:55] - TRADE : From Vegas Golden Knights to Phoenix Coyotes : Y:18-RND:5-VGK.
[2019-11-22 15:24:55] - TRADE : From Phoenix Coyotes to Vegas Golden Knights : Ivan Nalimov (P).
[2019-11-14 16:30:47] - TRADE : From Phoenix Coyotes to New York Islanders : Karl Alzner (68).
[2019-11-14 16:30:47] - TRADE : From New York Islanders to Phoenix Coyotes : Thomas Hickey (68), Y:18-RND:6-NYI.



[2020-04-04 09:12:04] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-29 09:00:35] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-26 05:15:22] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-23 05:11:47] TRADE : From Phoenix Coyotes to Ottawa Senators : Markus Granlund (66).
[2020-03-22 08:18:43] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-22 08:18:43] Logan Shaw of Phoenix Coyotes was sent to pro.
[2020-03-22 08:18:43] Markus Granlund of Phoenix Coyotes was sent down to farm.
[2020-03-22 08:18:43] Chris Casto of Phoenix Coyotes was sent down to farm.
[2020-03-22 08:18:43] Matthew Tkachuk of Phoenix Coyotes was sent down to farm.
[2020-03-22 08:18:36] Phoenix Coyotes placed Markus Granlund on waivers.
[2020-03-22 08:18:30] Phoenix Coyotes placed Chris Casto on waivers.
[2020-03-21 09:01:06] Phoenix Coyotes are expected to be over the salary cap by 1 489 994 $!
[2020-03-21 08:59:57] Andrew Ladd from Phoenix Coyotes is back from Right Ankle Injury.
[2020-03-21 08:58:37] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-21 08:58:37] Michael Leighton of Phoenix Coyotes was sent to farm.
[2020-03-21 08:58:37] Ryan Kesler of Phoenix Coyotes was sent to pro.
[2020-03-21 08:58:37] Cole Schneider of Phoenix Coyotes was sent down to farm.
[2020-03-21 08:58:33] Phoenix Coyotes placed Cole Schneider on waivers.
[2020-03-19 10:51:21] TRADE : From Florida Panthers to Phoenix Coyotes : Ryan Kesler (67).
[2020-03-18 10:57:49] Thomas Hickey from Phoenix Coyotes is back from Torso Injury.
[2020-03-18 10:57:49] Game 1135 - Thomas Hickey from Phoenix Coyotes is injured (Torso) and is out for 2 days.
[2020-03-17 10:25:00] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-17 10:25:00] Michael Leighton of Phoenix Coyotes was sent to pro.
[2020-03-17 10:25:00] Luke Schenn of Phoenix Coyotes was sent to pro.
[2020-03-16 09:39:46] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-15 05:32:20] TRADE : From Florida Panthers to Phoenix Coyotes : Luke Schenn (67).
[2020-03-10 08:42:54] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-10 08:42:54] Cole Schneider of Phoenix Coyotes was sent to pro.
[2020-03-09 11:10:00] Game 1067 - Andrew Ladd from Phoenix Coyotes is injured (Right Ankle) and is out for 2 weeks.
[2020-03-09 11:09:38] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5
[2020-03-06 07:26:53] Conor Sheary from Roadrunners has scored a Hat Trick!
[2020-03-05 12:02:55] Successfully loaded Phoenix Coyotes lines done with STHS Client - 3.2.0.5



Pas de Blessure ou de Suspension.


LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1482342907642237229841191304401120111941151603241117118-1982374296660183826114245384377779265242168982717773135116.29%3355882.69%01585289254.81%1499285452.52%670129651.70%1955136019896051031513
Total Saison Régulière82342907642237229841191304401120111941151603241117118-1982374296660183826114245384377779265242168982717773135116.29%3355882.69%01585289254.81%1499285452.52%670129651.70%1955136019896051031513