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Centre de jeu
Blackhawks
21-36-10, 52pts
1
FINAL
3 Flyers
31-30-6, 68pts
Team Stats
L6StreakL1
10-19-5Home Record14-18-3
11-17-5Away Record17-12-3
2-6-2Last 10 Games5-4-1
2.73Goals Per Game3.19
3.57Goals Against Per Game3.52
16.29%Power Play Percentage17.33%
81.53%Penalty Kill Percentage78.39%
Mammoth
20-43-6, 46pts
6
FINAL
5 Flyers
31-30-6, 68pts
Team Stats
W2StreakL1
12-18-4Home Record14-18-3
8-25-2Away Record17-12-3
5-4-1Last 10 Games5-4-1
2.33Goals Per Game3.19
3.88Goals Against Per Game3.52
20.29%Power Play Percentage17.33%
78.53%Penalty Kill Percentage78.39%
Flyers
31-30-6, 68pts
Jour 145
Mammoth
20-43-6, 46pts
Stats Équipe
L1SéquenceW2
14-18-3Fiche domicile12-18-4
17-12-3Fiche visiteur8-25-2
5-4-110 derniers matchs5-4-1
3.19Buts par match 2.33
3.52Buts contre par match 3.88
17.33%Pourcentage en avantage numérique20.29%
78.39%Pourcentage en désavantage numérique78.53%
Flyers
31-30-6, 68pts
Jour 147
Sharks
23-36-9, 55pts
Stats Équipe
L1SéquenceL1
14-18-3Fiche domicile10-21-4
17-12-3Fiche visiteur13-15-5
5-4-110 derniers matchs4-6-0
3.19Buts par match 2.82
3.52Buts contre par match 3.72
17.33%Pourcentage en avantage numérique17.09%
78.39%Pourcentage en désavantage numérique79.79%
Flyers
31-30-6, 68pts
Jour 149
Kings
45-20-4, 94pts
Stats Équipe
L1SéquenceW1
14-18-3Fiche domicile27-5-2
17-12-3Fiche visiteur18-15-2
5-4-110 derniers matchs9-1-0
3.19Buts par match 3.90
3.52Buts contre par match 2.78
17.33%Pourcentage en avantage numérique21.15%
78.39%Pourcentage en désavantage numérique83.15%
Meneurs d'équipe
Auston MatthewsButs
Auston Matthews
53
Auston MatthewsPasses
Auston Matthews
49
Auston MatthewsPoints
Auston Matthews
102
Auston MatthewsPlus/Moins
Auston Matthews
41
Samuel MontembeaultVictoires
Samuel Montembeault
53
Samuel MontembeaultPourcentage d’arrêts
Samuel Montembeault
0.903

Stats Équipe
Buts pour
214
3.19 GFG
Tirs pour
2114
31.55 Avg
Pourcentage en avantage numérique
17.3%
57 GF
Début de zone offensive
40.4%
Buts contre
236
3.52 GAA
Tirs contre
2162
32.27 Avg
Pourcentage en désavantage numérique
78.4%
67 GA
Début de la zone défensive
41.2%
Blessure/Suspension
Pas de blessure ou de suspension.
Information d’équipe
Directeur généralSebastien Lessard
EntraîneurCraig Berube
DivisionMetropolitan
ConférenceEastern
CapitaineAuston Matthews
Assistant #1
Assistant #2
Uniformes
Informations de l’aréna
NomPhiladelphia Coliseum
Capacité25,000
Assistance15,526
Billets de saison10,000
Information formation
Équipe Pro22
Équipe Mineure28
Limite contact 50 / 50
Espoirs19
Plafond salarial
Cap Salarial de la Saison estimé75,768,745$
Plafond salarial disponible14,231,255$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial22
Finance
Revenu annuel à ce jour61,472,325$
Dépenses annuelles à ce jour66,704,075$
Revenus de la saison estimés10,538,113$
Dépenses de la saison estimées14,064,644$
Compte bancaire actuel257,556,657$
Compte bancaire projeté253,536,170$
Historique d'équipe
Saison actuelle31-30-6 (68PTS)
Historique864-708-119 (0.511%)
Apparitions séries éliminatoires 11
Historique séries éliminatoires (W-L)44-54
Stanley Cup0


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
1Auston Matthews (C)X99.0056568494768989939295909475788455398402871$
2Timo MeierX100.0081597685738498724068777567808250227302945,750,000$
3Conor GarlandX100.0054437789408698704071697479808350387002915,000,000$
4Cole SillingerX100.0066537983648388668167647340667585466902233,200,000$
5Evgeny DadonovX100.0053448885537798664061716154948615246803623,000,000$
6J.T. CompherX100.0049468482568295628063627340828245386703036,100,000$
7Max DomiX100.0050606983627994638568596555828145386703015,000,000$
8Mike AmadioX100.0075498580637892608658637540807950386702922,100,000$
9Eric RobinsonX100.0075538879717599614058646640827945386703033,000,000$
10Yegor ChinakhovX100.0077508783648164664062696180707675426602411,017,500$
11Martin PospisilX100.0099546980527798587661546740747665286502611,440,000$
12Matias MaccelliX100.0043448781527781584055626040727570356202556,000,000$
13Martin FehervaryX100.0080548478678298594060588740747865397302622,900,000$
14Luke HughesX100.004650858564859272408362724066768529710222925,000$
15Ilya LyubushkinX100.0065508275657998524053527740848240386903123,500,000$
16J.J. MoserX100.0055468278568180564058558640727770386902564,000,000$
17Mason LohreiX100.004858867881829664407058684070767532690241750,000$
18Henri JokiharjuX100.0060488577617984534050567440747765386602611,850,000$
Rayé
1Miles WoodX100.0070606476637468544049596140827845206103022,500,000$
2Brendan SmithX100.0070696976657265534053546740948315316503612,000,000$
Équipe Mineure
1Jonny BrodzinskiX100.005251888067747860835169664086803518640321800,000$
2Riley TufteX100.006159697588675755405060709076726025620271700,000$
3Mackenzie MacEachernX100.007249637863605058406155704084724017610311650,000$
4Ross JohnstonX100.009980577587697249404652634084774019610311725,000$
5Liam O'BrienX100.009985547571706248404650644084774017590311650,000$
6Sheldon DriesX100.007150797845746450703962664084794022590311650,000$
7Stephen HallidayX100.005944767575807054705752507368748018590232925,000$
8Patrick Giles (R)X100.006958907580705547694055624072717018580253850,000$
9Kai Uchacz (R)X100.007360688468776743403848524066728517560222950,000$
10Parker Ford (R)X100.005549729150605046403458674072667017560253950,000$
11Emmitt Finnie (R)X100.006445908659605046705338564062619523550203950,000$
12Matyas Sapovaliv (R)X100.007654848071807036402943509964729023540213925,000$
13Lian BichselX100.009969687591746957405163674064699028680212925,000$
14Calle RosenX100.004846827656666151405250704084754017610311700,000$
15Cam DineenX100.005544838154635858406749614076706017610271700,000$
16Montana OnyebuchiX100.007986557577686332402936664072707018600251632,500$
17Philip KempX100.008261767573605536402745654074676517590261632,500$
18Nick CicekX100.008164687567555036403537634072647017580251632,500$
19Glenn GawdinX100.006456748064817160406160709978805518650281700,000$
20Oskar PetterssonX100.005239827570766634402741594068728020520232925,000$
21Coulson Pitre (R)X100.006146848656706036403734534064679020520213925,000$
22James Stefan (R)X100.005944868754605028402035504066638520470222950,000$
23Josh Filmon (R)X100.004838878843605025402030574064629020460212950,000$
24Artem GuryevX100.007570387579555032402538604066618519560222925,000$
25Artem GrushnikovX100.005850827563656029402532504066668520530222925,000$
MOYENNE D’ÉQUIPE99.98665477806573735349515466487574632662
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
1Samuel Montembeault100.008899999581828383828185808150848402985,000,000$
2Ukko-Pekka Luukkonen100.008797999972707272727485747265367702613,600,000$
Rayé
Équipe Mineure
1Nikita Tolopilo (R)100.00756466995052525050529172627019600253950,000$
2Isaac Poulter100.00886467855050505050505070607523580241800,000$
3Jiri Patera100.00755060955050505050506074626520580261700,000$
MOYENNE D’ÉQUIPE100.0083757895616161616161747467653667
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Berube92929385957750CAN6045,000,000$


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
1Auston MatthewsFlyersC6253491024134108723335310425615.01%25149624.1411223381273314142908456.06%234200021.36150021484
2Conor GarlandFlyersRW6722305230215791131884512311.70%21151222.58481243279123102761132.56%12900110.6937000640
3Martin FehervaryFlyersD671229410123520667115457710.43%97159223.7711718602930000210000.00%000000.5100001131
4J.J. MoserFlyersD6792736-3320826311642647.76%92152122.71336702390222242100.00%000000.4700000007
5Luke HughesFlyersD6752934-1020047787726616.49%75159323.784711592790111222000.00%000000.4300000021
6J.T. CompherFlyersRW67141933-24160237716451978.54%12108616.21279261360002692051.09%9200000.6101000013
7Cole SillingerFlyersC69121931-6400989315333997.84%11111316.141672315901131071150.19%53200010.5601000133
8Timo MeierFlyersLW54121931185151616117250926.98%16115421.3838114119700052181034.41%9300000.5411100315
9Mason LohreiFlyersD55101727-20235392259243916.95%54102318.617512371610000120100.00%000000.5300001203
10Max DomiFlyersC6781725-2138104113411132737.21%5105715.79257141290001441253.61%112300000.4723011100
11Mike AmadioFlyersC6791322-93406310010020639.00%1479011.8011295700041501153.80%100000000.5600000200
12Henri JokiharjuFlyersD4831720-824031194513286.67%3482117.1103315129011073110.00%000000.4900000010
13Eric RobinsonFlyersRW6751318-18400102569628805.21%293113.9003328224000020034.74%9500000.3900000101
14Evgeny DadonovFlyersLW5251217-56012618518645.88%374614.36134171080002600038.46%19500000.4602000021
15Yegor ChinakhovFlyersRW6771017-1418044598631588.14%26059.0434725128000001030.77%3900000.5604000012
16Ilya LyubushkinFlyersD6741014-87801125029112213.79%72113516.94011150000139100.00%000000.2500000020
17Brendan SmithFlyersD33257-5415666147714.29%3144313.4200003000014000.00%000000.3200001100
18Matias MaccelliFlyersLW66257-10204215018314.00%55117.75000114000020026.47%3400000.2700000000
19Miles WoodFlyersLW33224-740376235108.70%32236.7800000000021030.00%1000000.3600000100
20Jonny BrodzinskiNordiques (Phi)C19202-11003221731011.76%31799.4300000000040056.50%17700000.2200000000
21Martin PospisilFlyersRW54101-244407933356312.86%14257.8800000000001043.24%3700000.0500000000
22Glenn GawdinNordiques (Phi)C6101-3002551420.00%0518.5100000000011028.26%4600000.3900000000
23Riley TufteNordiques (Phi)LW1000100000000.00%01919.9300001000020033.33%300000.0000000000
Statistiques d’équipe totales ou en moyenne1222200342542-1166894514181379209361313899.56%5782003616.40539314655028234812442254231052.18%594700140.54724116332831
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
1Samuel MontembeaultFlyers65531010.9032.3638476415115500320.82417643223
2Ukko-Pekka LuukkonenFlyers125610.8943.8966400434070100.00001142011
Statistiques d’équipe totales ou en moyenne77581620.9012.5845116419419570420.824177545234


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Auston MatthewsFlyersC281997-09-17No217 Lbs6 ft3YesNoYes7Pro Only1$1$0$No12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$12,500,000$
UFA
Lien / Lien NHL
Brendan SmithFlyersD361989-02-08No200 Lbs6 ft2YesNoNo1Pro & Farm2,000,000$2,000,000$382,022$No
UFA
Lien / Lien NHL
Cole SillingerFlyersC222003-05-16No202 Lbs6 ft1NoNoYes3Pro & Farm3,200,000$3,200,000$611,236$No3,200,000$3,200,000$
RFA
Lien / Lien NHL
Conor GarlandFlyersRW291996-03-11No165 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$955,056$No
UFA
Lien / Lien NHL
Eric RobinsonFlyersRW301995-06-14No211 Lbs6 ft2NoNoYes3Pro & Farm3,000,000$3,000,000$573,034$No3,000,000$3,000,000$
UFA
Lien / Lien NHL
Evgeny DadonovFlyersLW361989-03-12No188 Lbs5 ft11NoNoYes2Pro & Farm3,000,000$3,000,000$573,034$No3,000,000$
UFA
Lien / Lien NHL
Henri JokiharjuFlyersD261999-06-17No200 Lbs6 ft0NoNoNo1Pro & Farm1,850,000$1,850,000$353,371$No
RFA
Lien / Lien NHL
Ilya LyubushkinFlyersD311994-04-06No200 Lbs6 ft2NoNoYes2Pro & Farm3,500,000$3,500,000$668,539$No3,500,000$
UFA
Lien / Lien NHL
J.J. MoserFlyersD252000-06-06No181 Lbs6 ft2NoNoYes6Pro & Farm4,000,000$4,000,000$764,045$No4,000,000$4,000,000$4,000,000$4,000,000$4,000,000$
UFA
Lien / Lien NHL
J.T. CompherFlyersRW301995-04-08No190 Lbs6 ft0NoNoYes3Pro Only6,100,000$6,100,000$1,165,169$No6,100,000$6,100,000$
UFA
Lien / Lien NHL
Luke HughesFlyersD222003-09-09No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$176,685$No925,000$
RFA
Lien / Lien NHL
Martin FehervaryFlyersD261999-10-06No203 Lbs6 ft2NoNoYes2Pro & Farm2,900,000$2,900,000$553,933$No2,900,000$
UFA
Lien / Lien NHL
Martin PospisilFlyersRW261999-11-19No173 Lbs6 ft2NoNoNo1Pro & Farm1,440,000$1,440,000$275,056$No
RFA
Lien / Lien NHL
Mason LohreiFlyersD242001-01-17No220 Lbs6 ft5NoNoNo1Pro & Farm750,000$750,000$143,258$No
RFA
Lien / Lien NHL
Matias MaccelliFlyersLW252000-10-14No185 Lbs5 ft11NoNoYes5Pro Only6,000,000$6,000,000$1,146,067$No6,000,000$6,000,000$6,000,000$6,000,000$
UFA
Lien / Lien NHL
Max DomiFlyersC301995-03-02No209 Lbs5 ft10NoNoYes1Pro Only5,000,000$5,000,000$955,056$No
UFA
Lien / Lien NHL
Mike AmadioFlyersC291996-05-13No199 Lbs6 ft1NoNoYes2Pro & Farm2,100,000$2,100,000$401,124$No2,100,000$
UFA
Lien / Lien NHL
Miles WoodFlyersLW301995-09-13No195 Lbs6 ft2NoNoYes2Pro & Farm2,500,000$2,500,000$477,528$No2,500,000$
UFA
Lien / Lien NHL
Samuel MontembeaultFlyersG291996-10-30No192 Lbs6 ft3NoNoYes8Pro Only5,000,000$5,000,000$955,056$No5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$5,000,000$Lien / Lien NHL
Timo MeierFlyersLW291996-10-08No220 Lbs6 ft1NoNoYes4Pro Only5,750,000$5,750,000$1,098,315$No5,750,000$5,750,000$5,750,000$
UFA
Lien / Lien NHL
Ukko-Pekka LuukkonenFlyersG261999-03-09No220 Lbs6 ft4NoNoYes1Pro & Farm3,600,000$3,600,000$687,640$No
RFA
Lien / Lien NHL
Yegor ChinakhovFlyersRW242001-02-01No201 Lbs6 ft1NoNoNo1Pro & Farm1,017,500$1,017,500$194,354$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2227.86199 Lbs6 ft12.683,119,659$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
68,632,501$60,475,000$45,550,000$33,250,000$27,500,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierAuston MatthewsConor Garland36113
2Evgeny DadonovCole SillingerJ.T. Compher34113
3Martin PospisilMax DomiEric Robinson20122
4Matias MaccelliMike AmadioYegor Chinakhov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryMason Lohrei40023
2J.J. MoserLuke Hughes35122
3Henri JokiharjuIlya Lyubushkin25122
4Martin FehervaryLuke Hughes0122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Timo MeierAuston MatthewsEvgeny Dadonov60113
2Yegor ChinakhovCole SillingerConor Garland40113
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryLuke Hughes60122
2Mason LohreiHenri Jokiharju40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsConor Garland60122
2Mike AmadioCole Sillinger40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Martin FehervaryJ.J. Moser60122
2Henri JokiharjuIlya Lyubushkin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Auston Matthews60131Martin FehervaryJ.J. Moser60131
2Cole Sillinger40131Henri JokiharjuIlya Lyubushkin40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Auston MatthewsTimo Meier60023
2Cole SillingerConor Garland40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiLuke Hughes60122
2Martin FehervaryJ.J. Moser40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierAuston MatthewsConor GarlandMartin FehervaryLuke Hughes
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Timo MeierAuston MatthewsConor GarlandMartin FehervaryLuke Hughes
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Max Domi, Eric Robinson, Martin PospisilEric Robinson, Mike AmadioConor Garland
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Lyubushkin, Henri Jokiharju, J.J. MoserJ.J. MoserLuke Hughes, Mason Lohrei
Tirs de pénalité
Yegor Chinakhov, Conor Garland, Auston Matthews, Timo Meier, Max Domi
Gardien
#1 : Samuel Montembeault, #2 : Ukko-Pekka Luukkonen


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
1Blackhawks21100000550110000003121010000024-220.50059140013105418231305013342615320.00%12191.67%01284242352.99%1323247253.52%559109850.91%483145162512
2BlueJackets302000101014-42010001079-21010000035-220.333101424004231912424361011342387014535.71%19384.21%11284242352.99%1323247253.52%559109850.91%674579223718
3Blues2010001045-11010000013-21000001032120.500448001111581223188482215341100.00%40100.00%01284242352.99%1323247253.52%559109850.91%563942142613
4Bruins21001000633110000003121000100032141.00061016000141511718142571316346116.67%50100.00%01284242352.99%1323247253.52%559109850.91%443151152411
5Canadiens3120000089-11010000034-12110000055020.333813210052101083535380902232671119.09%10460.00%01284242352.99%1323247253.52%559109850.91%735069213718
6Canucks2110000056-1110000003211010000024-220.50051015004010552414170732116519111.11%8187.50%01284242352.99%1323247253.52%559109850.91%412854142311
7Capitals4220000013121211000007612110000066040.500132235003370138564042010736347917423.53%16381.25%11284242352.99%1323247253.52%559109850.91%1047585274926
8Devils311000101082100000104312110000065140.6671015250035119332362258919226619421.05%10190.00%01284242352.99%1323247253.52%559109850.91%744968244221
9Ducks1010000034-11010000034-10000000000000.0003470003004512181502252218225.00%10100.00%01284242352.99%1323247253.52%559109850.91%2819186136
10Flames22000000954110000003121100000064241.00091423004230672915230651821331218.33%80100.00%01284242352.99%1323247253.52%559109850.91%554140142312
11Hurricanes41300000819-1120200000410-62110000049-520.25081624005210109393238015835598018316.67%26484.62%01284242352.99%1323247253.52%559109850.91%8254108314922
12Islanders311001001012-21010000036-32100010076130.5001018280053208434262319928296518316.67%12558.33%01284242352.99%1323247253.52%559109850.91%724872213719
13Jets2010000158-31010000035-21000000123-110.2505813001310501319169551122516116.67%11190.91%01284242352.99%1323247253.52%559109850.91%452951162714
14Kings1000000134-11000000134-10000000000010.50036900210030147753561026300.00%5260.00%01284242352.99%1323247253.52%559109850.91%2719246125
15Lightning30300000812-42020000058-31010000034-100.00081422003320113403637010237437214214.29%18477.78%01284242352.99%1323247253.52%559109850.91%785464223719
16Mammoth1010000056-11010000056-10000000000000.0005813002030331651203991028400.00%5260.00%01284242352.99%1323247253.52%559109850.91%2416227126
17MapleLeafs312000001012-21010000057-22110000055020.333101626115500105354723010727386018422.22%18572.22%01284242352.99%1323247253.52%559109850.91%714770233719
18Oilers2110000047-3110000003211010000015-420.5004812003010642920150531414361516.67%6266.67%01284242352.99%1323247253.52%559109850.91%503545152412
19Panthers2010100056-11010000024-21000100032120.5005914001301622215232591122459111.11%11281.82%01284242352.99%1323247253.52%559109850.91%493347142412
20Penguins42002000171162100100011742100100064281.000172744008432122443541212630538614428.57%22863.64%11284242352.99%1323247253.52%559109850.91%946595295125
21Predators21100000770110000005231010000025-320.500714210011506112153408418203610110.00%10280.00%01284242352.99%1323247253.52%559109850.91%473248142412
22Rangers4210010015132211000008802100010075250.625152742007440134483845314938427816318.75%18383.33%01284242352.99%1323247253.52%559109850.91%956595285024
23RedWings311000011113-220100001811-31100000032130.5001121320045221153537371110828266120420.00%12375.00%01284242352.99%1323247253.52%559109850.91%725074233718
24Sabres31200000814-61010000024-221100000610-420.33381321005210772822270109322669700.00%12466.67%01284242352.99%1323247253.52%559109850.91%634278213817
25Senators20100100510-520100100510-50000000000010.25058130030206330161705014224513215.38%11372.73%01284242352.99%1323247253.52%559109850.91%483345162713
26Stars210010001046100010003211100000072541.0001018280025217221301836316243513430.77%11281.82%01284242352.99%1323247253.52%559109850.91%513548152411
27Wild210000101073100000105411100000053241.000101626005312602020195521418369222.22%9277.78%11284242352.99%1323247253.52%559109850.91%473351142512
Total67223005343214236-223591802132117134-173213120321197102-5680.5072143625761187665212211473966667066216257970813903295717.33%3106778.39%41284242352.99%1323247253.52%559109850.91%161811131602501846421
_Since Last GM Reset67223005343214236-223591802132117134-173213120321197102-5680.5072143625761187665212211473966667066216257970813903295717.33%3106778.39%41284242352.99%1323247253.52%559109850.91%161811131602501846421
_Vs Conference46142204321144168-2423414011217798-2123108032006770-3440.47814424338711614433814655194574633615234125029772144119.16%2205276.36%31284242352.99%1323247253.52%559109850.91%10937471107344582288
_Vs Division25910022208389-61236010204449-51364012003940-1280.56083139222003523214771277231247218412282775241162622.41%1232778.05%31284242352.99%1323247253.52%559109850.91%591403605185318158

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6768L121436257621142162579708139011
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6722305343214236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
359182132117134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
321312321197102
Derniers 10 matchs
WLOTWOTL SOWSOL
341110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3295717.33%3106778.39%4
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
7396666706687665212
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
1284242352.99%1323247253.52%559109850.91%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
161811131602501846421


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
111Hurricanes3Flyers2BLSommaire du match
327Flyers3Blues2AWXXSommaire du match
538Flyers7Stars2AWSommaire du match
755Rangers4Flyers3BLSommaire du match
859Flyers1Hurricanes7ALSommaire du match
1187MapleLeafs7Flyers5BLSommaire du match
14108Flyers0Capitals3ALSommaire du match
15117Islanders6Flyers3BLSommaire du match
17127Flyers2Blackhawks4ALSommaire du match
19149Canadiens4Flyers3BLSommaire du match
21160Flyers2Penguins1AWSommaire du match
23178Flyers3MapleLeafs5ALSommaire du match
24187Capitals4Flyers6BWSommaire du match
27206Senators6Flyers2BLSommaire du match
29220Flyers3Islanders4ALXSommaire du match
32241Capitals2Flyers1BLSommaire du match
35260Flyers4Islanders2AWSommaire du match
37277Flyers4Devils1AWSommaire du match
38284Flyers3BlueJackets5ALSommaire du match
40300Sabres4Flyers2BLSommaire du match
43324Penguins5Flyers6BWXSommaire du match
45336Flyers2Canadiens3ALSommaire du match
47355Lightning4Flyers3BLSommaire du match
49364Flyers3RedWings2AWSommaire du match
50375RedWings7Flyers5BLSommaire du match
54403Flyers5Wild3AWSommaire du match
55410Penguins2Flyers5BWSommaire du match
57429Ducks4Flyers3BLSommaire du match
59447Kings4Flyers3BLXXSommaire du match
62466Canucks2Flyers3BWSommaire du match
64480Oilers2Flyers3BWSommaire du match
66492Flyers3Bruins2AWXSommaire du match
68499Flyers4Rangers1AWSommaire du match
69500Jets5Flyers3BLSommaire du match
74527Flyers3Canadiens2AWSommaire du match
77550Bruins1Flyers3BWSommaire du match
79565Wild4Flyers5BWXXSommaire du match
81581Flyers2Devils4ALSommaire du match
83597Stars2Flyers3BWXSommaire du match
85615Flyers6Capitals3AWSommaire du match
86618Blues3Flyers1BLSommaire du match
88633Flames1Flyers3BWSommaire du match
90649Hurricanes7Flyers2BLSommaire du match
92659Flyers2Predators5ALSommaire du match
93663Flyers3Hurricanes2AWSommaire du match
95681Flyers3Panthers2AWXSommaire du match
97702Flyers3Lightning4ALSommaire du match
98710Flyers3Rangers4ALXSommaire du match
99723BlueJackets7Flyers4BLSommaire du match
101737Predators2Flyers5BWSommaire du match
103754RedWings4Flyers3BLXXSommaire du match
106776Flyers2Canucks4ALSommaire du match
107781Flyers1Oilers5ALSommaire du match
109795Flyers6Flames4AWSommaire du match
112818Flyers2Jets3ALXXSommaire du match
113821Flyers6Sabres5AWSommaire du match
115838BlueJackets2Flyers3BWXXSommaire du match
120876Flyers4Penguins3AWXSommaire du match
124902Senators4Flyers3BLXSommaire du match
127924Flyers2MapleLeafs0AWSommaire du match
128935Rangers4Flyers5BWSommaire du match
129943Flyers0Sabres5ALSommaire du match
133978Lightning4Flyers2BLSommaire du match
135993Devils3Flyers4BWXXSommaire du match
1371007Panthers4Flyers2BLSommaire du match
1401028Blackhawks1Flyers3BWSommaire du match
1421044Mammoth6Flyers5BLSommaire du match
1451058Flyers-Mammoth-
1471074Flyers-Sharks-
1491086Flyers-Kings-
1511095Flyers-Ducks-
1541121Islanders-Flyers-
1561130Flyers-Bruins-
1591152Avalanche-Flyers-
1611165Devils-Flyers-
1631174Flyers-BlueJackets-
1651190Panthers-Flyers-
1681213GoldenKnights-Flyers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1701229Flyers-Senators-
1711235Sharks-Flyers-
1741247Flyers-Avalanche-
1761267Flyers-GoldenKnights-


Charte de profondeur
Ailier gaucheCentreAilier droit
Timo Meier
Timo Meier
AGE:29
SK:85
EN:84
DU:98
PH:72
PA:68
SC:77
DF:75
Evgeny Dadonov
Evgeny Dadonov
AGE:36
SK:85
EN:77
DU:98
PH:66
PA:61
SC:71
DF:61
Matias Maccelli
Matias Maccelli
AGE:25
SK:81
EN:77
DU:81
PH:58
PA:55
SC:62
DF:60
Riley Tufte
Riley Tufte
AGE:27
SK:75
EN:67
DU:57
PH:55
PA:50
SC:60
DF:70
Miles Wood
Miles Wood
AGE:30
SK:76
EN:74
DU:68
PH:54
PA:49
SC:59
DF:61
Mackenzie MacEachern
Mackenzie MacEachern
AGE:31
SK:78
EN:60
DU:50
PH:58
PA:61
SC:55
DF:70
Kai Uchacz (R)
Kai Uchacz
AGE:22
SK:84
EN:77
DU:67
PH:43
PA:38
SC:48
DF:52
Matyas Sapovaliv (R)
Matyas Sapovaliv
AGE:21
SK:80
EN:80
DU:70
PH:36
PA:29
SC:43
DF:50
Josh Filmon (R)
Josh Filmon
AGE:21
SK:88
EN:60
DU:50
PH:25
PA:20
SC:30
DF:57
Auston Matthews
Auston Matthews
AGE:28
SK:94
EN:89
DU:89
PH:93
PA:95
SC:90
DF:94
Cole Sillinger
Cole Sillinger
AGE:22
SK:83
EN:83
DU:88
PH:66
PA:67
SC:64
DF:73
Mike Amadio
Mike Amadio
AGE:29
SK:80
EN:78
DU:92
PH:60
PA:58
SC:63
DF:75
Max Domi
Max Domi
AGE:30
SK:83
EN:79
DU:94
PH:63
PA:68
SC:59
DF:65
Glenn Gawdin
Glenn Gawdin
AGE:28
SK:80
EN:81
DU:71
PH:60
PA:61
SC:60
DF:70
Jonny Brodzinski
Jonny Brodzinski
AGE:32
SK:80
EN:74
DU:78
PH:60
PA:51
SC:69
DF:66
Stephen Halliday
Stephen Halliday
AGE:23
SK:75
EN:80
DU:70
PH:54
PA:57
SC:52
DF:50
Liam O'Brien
Liam O'Brien
AGE:31
SK:75
EN:70
DU:62
PH:48
PA:46
SC:50
DF:64
Sheldon Dries
Sheldon Dries
AGE:31
SK:78
EN:74
DU:64
PH:50
PA:39
SC:62
DF:66
Emmitt Finnie (R)
Emmitt Finnie
AGE:20
SK:86
EN:60
DU:50
PH:46
PA:53
SC:38
DF:56
Conor Garland
Conor Garland
AGE:29
SK:89
EN:86
DU:98
PH:70
PA:71
SC:69
DF:74
J.T. Compher
J.T. Compher
AGE:30
SK:82
EN:82
DU:95
PH:62
PA:63
SC:62
DF:73
Eric Robinson
Eric Robinson
AGE:30
SK:79
EN:75
DU:99
PH:61
PA:58
SC:64
DF:66
Yegor Chinakhov
Yegor Chinakhov
AGE:24
SK:83
EN:81
DU:64
PH:66
PA:62
SC:69
DF:61
Martin Pospisil
Martin Pospisil
AGE:26
SK:80
EN:77
DU:98
PH:58
PA:61
SC:54
DF:67
Ross Johnston
Ross Johnston
AGE:31
SK:75
EN:69
DU:72
PH:49
PA:46
SC:52
DF:63
Patrick Giles (R)
Patrick Giles
AGE:25
SK:75
EN:70
DU:55
PH:47
PA:40
SC:55
DF:62
Parker Ford (R)
Parker Ford
AGE:25
SK:91
EN:60
DU:50
PH:46
PA:34
SC:58
DF:67
Coulson Pitre (R)
Coulson Pitre
AGE:21
SK:86
EN:70
DU:60
PH:36
PA:37
SC:34
DF:53
Oskar Pettersson
Oskar Pettersson
AGE:23
SK:75
EN:76
DU:66
PH:34
PA:27
SC:41
DF:59
James Stefan (R)
James Stefan
AGE:22
SK:87
EN:60
DU:50
PH:28
PA:20
SC:35
DF:50

Défense #1Défense #2Gardien
Martin Fehervary
Martin Fehervary
AGE:26
SK:78
EN:82
DU:98
PH:59
PA:60
SC:58
DF:87
Luke Hughes
Luke Hughes
AGE:22
SK:85
EN:85
DU:92
PH:72
PA:83
SC:62
DF:72
Mason Lohrei
Mason Lohrei
AGE:24
SK:78
EN:82
DU:96
PH:64
PA:70
SC:58
DF:68
J.J. Moser
J.J. Moser
AGE:25
SK:78
EN:81
DU:80
PH:56
PA:58
SC:55
DF:86
Ilya Lyubushkin
Ilya Lyubushkin
AGE:31
SK:75
EN:79
DU:98
PH:52
PA:53
SC:52
DF:77
Lian Bichsel
Lian Bichsel
AGE:21
SK:75
EN:74
DU:69
PH:57
PA:51
SC:63
DF:67
Henri Jokiharju
Henri Jokiharju
AGE:26
SK:77
EN:79
DU:84
PH:53
PA:50
SC:56
DF:74
Brendan Smith
Brendan Smith
AGE:36
SK:76
EN:72
DU:65
PH:53
PA:53
SC:54
DF:67
Cam Dineen
Cam Dineen
AGE:27
SK:81
EN:63
DU:58
PH:58
PA:67
SC:49
DF:61
Calle Rosen
Calle Rosen
AGE:31
SK:76
EN:66
DU:61
PH:51
PA:52
SC:50
DF:70
Montana Onyebuchi
Montana Onyebuchi
AGE:25
SK:75
EN:68
DU:63
PH:32
PA:29
SC:36
DF:66
Philip Kemp
Philip Kemp
AGE:26
SK:75
EN:60
DU:55
PH:36
PA:27
SC:45
DF:65
Nick Cicek
Nick Cicek
AGE:25
SK:75
EN:55
DU:50
PH:36
PA:35
SC:37
DF:63
Artem Guryev
Artem Guryev
AGE:22
SK:75
EN:55
DU:50
PH:32
PA:25
SC:38
DF:60
Artem Grushnikov
Artem Grushnikov
AGE:22
SK:75
EN:65
DU:60
PH:29
PA:25
SC:32
DF:50
Samuel Montembeault
Samuel Montembeault
AGE:29
SK:88
AG:81
RB:82
SC:83
HS:83
RT:82
DF:81
Ukko-Pekka Luukkonen
Ukko-Pekka Luukkonen
AGE:26
SK:87
AG:72
RB:70
SC:72
HS:72
RT:72
DF:74
Nikita Tolopilo (R)
Nikita Tolopilo
AGE:25
SK:75
AG:50
RB:52
SC:52
HS:50
RT:50
DF:52
Isaac Poulter
Isaac Poulter
AGE:24
SK:88
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
Jiri Patera
Jiri Patera
AGE:26
SK:75
AG:50
RB:50
SC:50
HS:50
RT:50
DF:50
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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Alexis MathieuFlyers2039168
Anthony Allain-SamakeFlyers2039199
Ben KevanFlyers203987
Bill ZonnonFlyers203921
Bryce PickfordFlyers203947
Cameron MacdonaldFlyers2035194
Connor ClattenburgFlyers2038176
Dean LetourneauFlyers203843
Evan NauseFlyers203554
Hoyt StanleyFlyers2037137
Jack NesbittFlyers203923
Kasper PikkarainenFlyers2038114
Ludvig LaftonFlyers2038207
Matous KucharcikFlyers2039137
Sergei IvanovFlyers2036161
Tristan BrozFlyers203561
Vadim MorozFlyers2037106
Viktor NorringerFlyers2038145
Will SkahanFlyers203883

Choix au repêchage

Choix au repêchage
Année R1R2R3R4R5R6R7
2040
2041
2042



Flyers 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
1Auston Matthews5564144038171452716652172298313.88%2341362624.5111512924473415102592691953.64%181.201341
2Alexei Semenov1575249420669-115392124202925939.60%9532707117.1940671072916152169352349.89%20.491343
3Jason Spezza5802753886631021743611573221012.44%2001336523.04731432165201041460351455.78%90.992058
4Clayton Keller46018226945130621641033166410.94%116927420.1645921373923583422834.62%40.97528
5Kyle Okposo70317426343765271052925173610.02%1241394319.835111516644111226191640.07%20.631143

Flyers 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
1Cory Schneider20110771110.9092.89115572411557611901050.786103
2Logan Thompson1749558110.9043.051006116651253340700.80025
3Jaroslav Halak21089100110.8963.1211926161462159530730.83390
4Ben Bishop1266941100.9003.00725825536336170610.66724
5Chris Driedger1586767100.9043.178757246463483301410.69559

Flyers 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
201782303101776227245-1841151601234113119-641151500542114126-126922735358012069638722420718704796241083412411813257259.73%2644084.85%6933183050.98%1032196252.60%665130650.92%176996118018431586815
201882392604157266211554117140302513311221412212011321339934872664256910407376108252408398018572434776116720122184219.27%2333584.98%111007195751.46%1008196151.40%688134751.08%1799102616697441523772
201982372804382236206304117140226011710984120140212211997228523635959526059838222510640766819232879185617772323615.52%1772685.31%5986182654.00%979186752.44%575111351.66%174794916257691604823
202082283501567216243-2741152000114106121-1541131501453110122-1263216340556520636779230506847308632357839114817462224118.47%2374879.75%4997192351.85%921188648.83%616117552.43%168589216847871620821
2021824419023952832057841279010221519754411710013731321082495283486769311096948226520852907857214571095917104488017.86%4036982.88%31711313454.59%1423275551.65%684125754.42%2160153218245871018534
202282274101472206245-3941151901321110124-144112220015196121-2560206351557070757053229807907367542450702102618474156114.70%4198779.24%51536287953.35%1535294252.18%673123554.49%2057144018925961026517
202382422802442302257454120110134215612630412217011001461311592302527829120112879726840861862938241869491017294609721.09%4189377.75%31653304254.34%1508290351.95%697133052.41%2018140919246071019511
20248241320213331826058411919010111591293041221301122159131289631856288057011110993271109049108732560736930171347411223.63%3938279.13%31692311754.28%1520299750.72%670134249.93%2060145118866001010510
20258249230141430923673412610012111631164741231300203146120261103095508590301149697253707999068222459675979173245910923.75%4078778.62%61668306554.42%1505288552.17%720133154.09%2076144118446041029522
202682393300262272274-241192000020122134-1241201300242150140109427246874030010010165243508298117782647712111718114207818.57%4439877.88%51495290351.50%1486313547.40%629135546.42%1981138319716091009499
20278239350123228026713412116000311451301541181901201135137-29028050778703093114692357076781376826477481077197840210425.87%45110077.83%51210276943.70%1252312140.12%566135341.83%1982137119436031020510
20308234310201142502419412012020431331141941141900071117127-109825043568528082738225380831809867265479596518453958421.27%4368181.42%01534304650.36%1406313344.88%622125449.60%1955133220006221042518
203182353500057275277-241162100031131143-1241191400026144134108727547474933096918324860783852830275080889718753967919.95%4157881.20%31308292344.75%1388320443.32%604133445.28%1903129720506251026498
203282313901164263293-3041162000131122138-1641151901033141155-1481263457720010102817324440801828784285484295218643857419.22%3987381.66%21291289544.59%1451329244.08%606133045.56%1839123821086261028493
203382165700432225324-9941112600220127166-39415310021298158-6044225399624030886371217407286647692706799102418623946717.01%4519878.27%61295271147.77%1412306846.02%630134946.70%1862124320526261037509
203482244403065268306-3841122101043133154-2141122302022135152-177126844971713095867826380893826888293780787917603877419.12%3748078.61%21523297651.18%1598324049.32%715136752.30%1810122021276311040502
203582274403044230279-4941152003021111128-1741122400023119151-3272230400630130867463238907528287882751792100418533546117.23%4438281.49%41451279851.86%1567314849.78%695134851.56%1873126320456261046509
203682333504523307315-841181504301164159541152000222143156-13863075198260401119892280308929339482689787109218383998320.80%48011376.46%51690309554.60%1528295251.76%727140351.82%1968135919656061028505
2037824727013313162546241261200300154121334121150103116213329106316547863011151049352620870876859282599744101917473958421.27%4367981.88%41493291251.27%1580300352.61%716133053.83%1939132419776171032505
203882333504622250258-8412013024201361142241132202202114144-3086250439689029975709238579775080347260277797517663896717.22%4198779.24%51385269851.33%1546295252.37%642127350.43%1957135519796161024506
203967223005343214236-223591802132117134-173213120321197102-5682143625761187665212211473966667066216257970813903295717.33%3106778.39%41284242352.99%1323247253.52%559109850.91%161811131602501846421
Total Saison régulière1707717708042581057755135432818553743460252750332803268811585234336201731554427102744-34174055139409149222876301187017411480515872406166551701815140535591594720925376687830151519.35%8007160379.98%91291425692251.20%289685887849.20%136992723050.31%400712660839977134532362511812
Séries éliminatoires
201795400000212104220000089-153200000131211021345500064926606590103222811452132827.14%38684.21%011521753.00%11921655.09%6212848.44%196108197993217784
20181046000002530-5523000001216-4523000001314-182538630108107282075108962919211724934514.71%24675.00%014425656.25%12922657.08%8115153.64%2231251919118795
20195140000069-33030000048-4211000002112612180101321070184235121323095200.00%14378.57%0538463.10%5510055.00%345265.38%10351925111558
2021231490000070664128400000363061165000003436-2287012319303018252468202062292185821942644901092422.02%1152479.13%044884752.89%39376051.71%16834448.84%602428546168285145
2023514000001215-33120000089-12020000046-22122234000822177058556417046741223239.38%28582.14%111920857.21%10920553.17%428052.50%11377128375928
202451400000161513120000012932020000046-221629450009431430573749143336412425624.00%26676.92%19018748.13%9118150.28%357149.30%11780118386331
202518117000005056-61064000002833-5853000002223-12250921420001716154980148170165636171270397961717.71%1092180.73%030862649.20%40174753.68%14626754.68%460319422140233116
2026514000001724-72020000079-2312000001015-521730471008631410573746201677411525312.00%31970.97%18318445.11%11423348.93%509055.56%11275133406230
2027734000002224-23210000011101413000001114-3622386000058720405968472569011116830723.33%50982.00%011125044.40%13430144.52%3710734.58%179120199589646
2030734000001725-83210000079-2413000001016-6617304700055616304763512457211414231412.90%46980.43%09121043.33%12430840.26%5411945.38%156105185548337
2037404000001217-52020000068-22020000069-30122032005160121423940014447468521523.81%17664.71%07214350.35%8916553.94%296544.62%8860101315023
Total Séries éliminatoires98445400000268302-3450242600000139150-1148202800000129152-23882684687361558689782784428299398743011925130922004337617.55%49810479.12%31634321250.87%1758344251.07%738147450.07%23541553410016431415699

Flyers 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
1Jason Spezza612137581153414217112.28%6131721.60415194102205054.37%00.8800
2Brad Stuart162213455211452131652667.89%81267816.532249000115052.76%00.4100
3Evgeni Malkin38142337-41855881429.86%390023.7049134020261148.47%10.8200
4Joe Thornton339223131334767611.84%964019.4048121900002154.51%10.9700
5Chris Pronger3351924-7333744529.62%5284325.553710260002100.00%00.5700

Flyers 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
1Jaroslav Halak2414810.8842.83142003675780100.0000
2Ben Bishop2212910.9142.86132060637340100.0000
3Cory Schneider166630.9033.4697040565760000.0000
4Jaroslav Halak95220.9052.28552402122282000.0000
5Pekka Rinne155640.9052.569130239412165000.0000