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Leaders

Advanced Stats Leaders 2026–2027

Advanced NHL stats leaderboards — expected goals (xG, the quality of shots a player generates), shot-attempt share (Corsi), PDO and more — ranked for skaters and goalies. Each stat is defined in the glossary, so you can see who drives play beyond goals and assists.

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All leaders

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Games started

65 qualified (4+ GP)
Games started — Full leaderboard
#PlayerTeamGPGSWLOTLSV%GAASOGSAxHD SV%QS%SV
1Jesper WallstedtGMIN16161123.9221.990+13.06.88275.0%379
2Spencer KnightGCHI14144100.8813.660+1.34.80828.6%364
3Jake OettingerGDAL1313931.9061.993+5.65.86846.2%251
4Karel VejmelkaGUTA1312660.8703.291-8.52.76750.0%262
5Mackenzie BlackwoodGCOL1312831.8932.811+0.62.80258.3%291
6Andrei VasilevskiyGTBL1212831.8872.750-3.14.76641.7%258
7Jeremy SwaymanGBOS1212831.9132.311+7.00.85166.7%292
8Joel HoferGSTL1212651.9192.361+4.86.82950.0%316
9Juuse SarosGNSH1212534.9122.620+4.33.81258.3%330
10Pyotr KochetkovGCAR12121110.9201.672+7.42.90058.3%230
11Sergei BobrovskyGTOR1212372.8863.340-3.78.79341.7%312
12Stuart SkinnerGWPG1212543.8853.280-1.92.77558.3%285
13Yaroslav AskarovGSJS1212480.8853.350+1.62.83841.7%307
14Dylan GarandGNYR1311661.9062.521-0.41.88263.6%280
15Arturs SilovsGPIT1111551.8763.262-4.38.73036.4%255
16Ilya SorokinGNYI1111641.9102.641+3.27.79745.5%292
17John GibsonGDET1111451.8603.460-8.27.71727.3%202
18Logan ThompsonGWSH1111640.8883.200-0.39.79245.5%262
19Leevi MeriläinenGVAN1210261.8893.560-2.67.81740.0%303
20Ukko-Pekka LuukkonenGBUF1110533.8783.270-3.11.76430.0%252
21Carter HartGVGK1010532.9002.490+1.33.75460.0%226
22Jacob FowlerGMTL1010811.9252.162+9.14.86450.0%273
23Lukas DostalGANA1010441.8663.760-4.64.80530.0%219
24Dustin WolfGCGY109351.8693.750-3.33.79244.4%238
25Dan VladarGPHI99342.8833.210-1.49.81644.4%219
26Darcy KuemperGLAK99531.8853.460+3.74.91155.6%224
27Jake AllenGNJD99630.8813.200-4.07.78944.4%215
28Joseph WollGPHI99162.8993.120+2.00.86255.6%248
29Philipp GrubauerGSEA108531.8903.080-2.87.74050.0%218
30Akira SchmidGFLA98531.8863.000-0.83.80637.5%203
31Jet GreavesGCBJ98260.8803.361-1.87.82512.5%190
32Joey DaccordGSEA98430.8813.830-5.16.68650.0%208
33Kevin LankinenGVAN98180.8086.030-12.13.6920.0%177
34Adin HillGVGK88620.8952.730-2.34.71950.0%187
35Jacob MarkstromGFLA88421.8852.571-1.98.85025.0%146
36Linus UllmarkGOTT88710.9451.330+8.72.89487.5%172
37Tristan JarryGEDM88413.9022.572-2.32.75062.5%185
38Cam TalbotGCBJ87520.9112.440+3.12.84985.7%185
39Alex NedeljkovicGSJS77331.8953.230+3.52.79642.9%196
40Brandon BussiGCAR77322.8693.230-5.30.83042.9%152
41Devin CooleyGCGY77430.9142.690+1.91.85157.1%180
42Devon LeviGEDM77610.8873.110+0.03.79342.9%172
43Jakub DobesGMTL77322.8474.040-7.53.68814.3%155
44Samuel ErssonGOTT96331.8893.140-3.68.78950.0%177
45Sebastian CossaGUTA76411.8713.300-3.49.75650.0%128
46Anthony StolarzGTOR66510.9102.660+3.41.88266.7%162
47Colten EllisGBUF66320.8912.921+0.36.80033.3%131
48Daniil TarasovGDET75222.9291.791+6.71.88660.0%145
49Anton ForsbergGLAK65041.9022.510+2.24.90580.0%129
50Nico DawsGWPG65230.8862.860-1.95.70640.0%117
51Igor ShesterkinGNYR55310.9271.790+2.79.93880.0%101
52Jordan BinningtonGSTL55131.8514.270-7.72.64120.0%120
53Michael DiPietroGBOS55410.9252.211+3.82.88160.0%135
54Scott WedgewoodGCOL55131.8674.020-5.93.75040.0%117
55Semyon VarlamovGNYI55122.8922.720+2.34.81420.0%116
56Sergei MurashovGPIT55041.8713.830-5.82.84640.0%128
57Ville HussoGANA64230.8683.550-1.74.71825.0%112
58Arvid SoderblomGCHI54031.8424.670-5.17.7590.0%112
59Charlie LindgrenGWSH54320.8813.080-0.30.90325.0%104
60Clay StevensonGWPG54130.8703.610-2.43.76350.0%107
61Casey DeSmithGDAL44121.9092.420+0.75.84675.0%100
62Connor HellebuyckGNJD44400.8912.440-1.13.80050.0%82
63Dennis HildebyGTBL44301.8802.950-0.49.95725.0%88
64Jonas JohanssonGOTT44120.8484.600-4.12.75825.0%89
65Justus AnnunenGNSH44310.8743.400-2.22.70050.0%97

Source: NHL stats API and HabsMetrics expected-goals model. Corsi = share of all shot attempts while on ice; Fenwick excludes blocked shots; PDO = on-ice shooting % + save % at 5v5 (1.000 is average). PK SV% = save % while the opponent is on the power play. HabsMetrics Analytics — for educational purposes. What do these stats mean?