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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.

Team
All leaders

Full leaderboard

Quality start %

65 qualified (4+ GP)
Quality start % — Full leaderboard
#PlayerTeamGPQS%GSWLOTLSV%GAASOGSAxHD SV%SV
1Linus UllmarkGOTT887.5%8710.9451.330+8.72.894172
2Cam TalbotGCBJ885.7%7520.9112.440+3.12.849185
3Anton ForsbergGLAK680.0%5041.9022.510+2.24.905129
4Igor ShesterkinGNYR580.0%5310.9271.790+2.79.938101
5Jesper WallstedtGMIN1675.0%161123.9221.990+13.06.882379
6Casey DeSmithGDAL475.0%4121.9092.420+0.75.846100
7Jeremy SwaymanGBOS1266.7%12831.9132.311+7.00.851292
8Anthony StolarzGTOR666.7%6510.9102.660+3.41.882162
9Dylan GarandGNYR1363.6%11661.9062.521-0.41.882280
10Tristan JarryGEDM862.5%8413.9022.572-2.32.750185
11Mackenzie BlackwoodGCOL1461.5%13931.9012.601+0.62.802318
12Carter HartGVGK1060.0%10532.9002.490+1.33.754226
13Michael DiPietroGBOS560.0%5410.9252.211+3.82.881135
14Juuse SarosGNSH1258.3%12534.9122.620+4.33.812330
15Pyotr KochetkovGCAR1258.3%121110.9201.672+7.42.900230
16Stuart SkinnerGWPG1258.3%12543.8853.280-1.92.775285
17Devin CooleyGCGY757.1%7430.9142.690+1.91.851180
18Darcy KuemperGLAK955.6%9531.8853.460+3.74.911224
19Joseph WollGPHI955.6%9162.8993.120+2.00.862248
20Karel VejmelkaGUTA1350.0%12660.8703.291-8.52.767262
21Joel HoferGSTL1250.0%12651.9192.361+4.86.829316
22Jacob FowlerGMTL1050.0%10811.9252.162+9.14.864273
23Philipp GrubauerGSEA1050.0%8531.8903.080-2.87.740218
24Joey DaccordGSEA950.0%8430.8813.830-5.16.686208
25Samuel ErssonGOTT950.0%6331.8893.140-3.68.789177
26Adin HillGVGK850.0%8620.8952.730-2.34.719187
27Daniil TarasovGDET850.0%6232.9192.101+6.71.886170
28Sebastian CossaGUTA750.0%6411.8713.300-3.49.756128
29Clay StevensonGWPG550.0%4130.8703.610-2.43.763107
30Connor HellebuyckGNJD450.0%4400.8912.440-1.13.80082
31Justus AnnunenGNSH450.0%4310.8743.400-2.22.70097
32Jake OettingerGDAL1346.2%13931.9061.993+5.65.868251
33Ilya SorokinGNYI1145.5%11641.9102.641+3.27.797292
34Logan ThompsonGWSH1145.5%11640.8883.200-0.39.792262
35Dustin WolfGCGY1044.4%9351.8693.750-3.33.792238
36Dan VladarGPHI944.4%9342.8833.210-1.49.816219
37Jake AllenGNJD944.4%9630.8813.200-4.07.789215
38Alex NedeljkovicGSJS742.9%7331.8953.230+3.52.796196
39Brandon BussiGCAR742.9%7322.8693.230-5.30.830152
40Devon LeviGEDM742.9%7610.8873.110+0.03.793172
41Andrei VasilevskiyGTBL1241.7%12831.8872.750-3.14.766258
42Sergei BobrovskyGTOR1241.7%12372.8863.340-3.78.793312
43Yaroslav AskarovGSJS1241.7%12480.8853.350+1.62.838307
44Leevi MeriläinenGVAN1240.0%10261.8893.560-2.67.817303
45Nico DawsGWPG640.0%5230.8862.860-1.95.706117
46Scott WedgewoodGCOL540.0%5131.8674.020-5.93.750117
47Sergei MurashovGPIT540.0%5041.8713.830-5.82.846128
48Akira SchmidGFLA937.5%8531.8863.000-0.83.806203
49Arturs SilovsGPIT1136.4%11551.8763.262-4.38.730255
50Colten EllisGBUF633.3%6320.8912.921+0.36.800131
51Ukko-Pekka LuukkonenGBUF1130.0%10533.8783.270-3.11.764252
52Lukas DostalGANA1030.0%10441.8663.760-4.64.805219
53Spencer KnightGCHI1428.6%144100.8813.660+1.34.808364
54John GibsonGDET1127.3%11451.8603.460-8.27.717202
55Jacob MarkstromGFLA825.0%8421.8852.571-1.98.850146
56Ville HussoGANA625.0%4230.8683.550-1.74.718112
57Charlie LindgrenGWSH525.0%4320.8813.080-0.30.903104
58Dennis HildebyGTBL425.0%4301.8802.950-0.49.95788
59Jonas JohanssonGOTT425.0%4120.8484.600-4.12.75889
60Jordan BinningtonGSTL520.0%5131.8514.270-7.72.641120
61Semyon VarlamovGNYI520.0%5122.8922.720+2.34.814116
62Jakub DobesGMTL714.3%7322.8474.040-7.53.688155
63Jet GreavesGCBJ912.5%8260.8803.361-1.87.825190
64Kevin LankinenGVAN90.0%8180.8086.030-12.13.692177
65Arvid SoderblomGCHI50.0%4031.8424.670-5.17.759112

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?