PuckSleuth

2022-23 regular season

Stats

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2026-272025-262024-252023-242022-23
PlayerGPPP/GPTOI/GPGS/GPWARxGF%G−xG
1Connor McDavidEDM · C821531.8722:23+1.93+9.1457.7%+13.2
2Leon DraisaitlEDM · C801281.6021:44+1.57+8.8854.3%+16.6
3Nikita KucherovTBL · R821131.3820:08+1.30+4.2154.0%−3.4
4David PastrnakBOS · R821131.3819:34+1.60+5.7254.1%+15.7
5Nathan MacKinnonCOL · C711111.5622:19+1.72+4.9855.4%+5.5
6Matthew TkachukFLA · L791091.3820:26+1.46+4.5160.9%+0.4
7Jason RobertsonDAL · L821091.3318:50+1.43+5.9360.3%+12.5
8Mikko RantanenCOL · R821051.2822:13+1.43+6.1154.9%+18.0
9Ryan Nugent-HopkinsEDM · C821041.2719:48+1.15+3.5854.0%+5.8
10Elias PetterssonVAN · C801021.2720:33+1.38+5.0553.2%+7.3
11Erik KarlssonSJS · D821011.2325:37+1.10+5.6850.9%+12.6
12Jack HughesNJD · C78991.2719:58+1.39+4.1757.3%+2.4
13Mitch MarnerTOR · R80991.2421:17+1.22+5.6758.0%+8.6
14Brayden PointTBL · C82951.1619:40+1.25+4.8354.9%+13.0
15Tage ThompsonBUF · C78941.2118:35+1.28+4.0850.6%+12.7
16Sidney CrosbyPIT · C82931.1320:09+1.18+4.4453.9%+5.9
17Artemi PanarinNYR · L82921.1219:36+0.99+4.0651.3%+6.4
18Mika ZibanejadNYR · C82911.1119:58+1.19+4.5849.0%+9.2
19Tim StützleOTT · C78901.1521:16+1.18+3.5854.0%+4.7
20William NylanderTOR · R82871.0618:33+1.20+3.7057.6%+3.6
21Clayton KellerARI · R82861.0520:45+1.07+4.3647.0%+11.4
22Auston MatthewsTOR · C74851.1520:17+1.48+3.8459.3%−0.4
23Steven StamkosTBL · C81841.0419:01+1.06+2.3351.3%+0.5
24Zach HymanEDM · L79831.0520:09+1.14+1.3856.1%−12.0
25Evgeni MalkinPIT · C82831.0118:35+0.99+3.1255.5%+0.4
26Brady TkachukOTT · L82831.0118:38+1.16+1.1955.8%−11.2
27Jeff SkinnerBUF · L79821.0417:24+1.11+3.6751.9%+4.8
28J.T. MillerVAN · C81821.0120:41+1.06+3.6445.8%+5.5
29John TavaresTOR · C80801.0017:39+1.12+1.8556.4%−6.9
30Nico HischierNJD · C81800.9919:17+1.19+3.2160.6%−6.5
31Kyle ConnorWPG · L82800.9820:32+1.03+2.2353.0%−2.9
32Alex TuchBUF · R74791.0719:09+1.16+3.5952.3%+8.0
33Dylan LarkinDET · C80790.9919:33+1.02+2.6948.3%+4.0
34Claude GirouxOTT · R82790.9618:48+1.03+4.7954.8%+12.9
35Aleksander BarkovFLA · C68781.1521:13+1.21+3.5755.1%+0.6
36Jamie BennDAL · L82780.9515:47+1.04+3.7650.6%+8.5
37Joe PavelskiDAL · C82770.9417:43+1.05+3.4257.9%+1.0
38Quinn HughesVAN · D78760.9725:40+0.88+2.8349.1%−0.9
39Josh MorrisseyWPG · D78760.9724:14+0.95+3.7152.4%+3.2
40Kirill KaprizovMIN · L67751.1221:07+1.34+4.0357.2%+6.3
41Roope HintzDAL · C73751.0317:33+1.14+4.1359.1%+8.3
42Alex OvechkinWSH · L73751.0320:12+1.15+1.8546.8%+7.1
43Brock NelsonNYI · C82750.9118:26+1.04+3.3550.6%+8.4
44Johnny GaudreauCBJ · L80740.9319:25+0.85+1.4946.9%−5.2
45Andrei KuzmenkoVAN · L81740.9116:15+0.94+4.1453.3%+17.7
46Dougie HamiltonNJD · D82740.9021:46+0.95+3.5456.2%+7.1
47Anze KopitarLAK · C82740.9020:18+0.99+3.7955.3%+7.0
48Rasmus DahlinBUF · D78730.9425:48+0.91+2.5653.3%+0.4
49Jake GuentzelPIT · C78730.9420:07+1.08+1.8953.5%−3.8
50Miro HeiskanenDAL · D79730.9225:29+0.92+3.0554.7%−1.5

1–50 of 951 players

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Per-game columns (P/GP, TOI/GP, GS/GP) need at least 33 games played, and xGF% needs 264 minutes at 5-on-5; players below that sort to the bottom and show in grey, so one game cannot top a list. Game Score (GS/GP), WAR, expected goals share (xGF%), goals above expected (G−xG), and goals saved above expected (GSAx) are PuckSleuth's own measures. Early in the season, small samples move the table a lot.