PuckSleuth

2023-24 regular season

Stats

Tap a column heading to sort by it. Tap again to reverse. Updated every night after the games.

2026-272025-262024-252023-242022-23
PlayerGPPP/GPTOI/GPGS/GPWARxGF%G−xG
51Noah DobsonNYI · D79700.8924:31+0.87+2.7748.3%+3.3
52Anze KopitarLAK · C81700.8619:39+0.91+4.6252.0%+10.7
53Dylan LarkinDET · C68691.0120:10+1.17+3.7249.8%+5.1
54Matt BoldyMIN · L75690.9218:55+1.03+3.3257.0%+1.7
55Josh MorrisseyWPG · D81690.8524:11+0.91+2.1456.3%−2.9
56Jonathan MarchessaultVGK · C82690.8417:54+1.01+2.9951.9%+11.0
57Brock NelsonNYI · C82690.8418:05+0.94+2.7549.3%+4.9
58Ryan O'ReillyNSH · C82690.8419:46+0.88+1.8853.4%−0.7
59Jack EichelVGK · C63681.0820:31+1.32+3.1654.4%+5.5
60Travis KonecnyPHI · R76680.8919:50+1.04+3.0053.4%+5.2
61Bo HorvatNYI · C81680.8419:42+0.96+2.9852.0%+6.1
62Nico HischierNJD · C71670.9419:29+1.05+3.2753.1%+1.3
63Ryan Nugent-HopkinsEDM · C80670.8419:37+0.83+2.0261.7%−7.8
64Seth JarvisCAR · C81670.8318:45+0.98+3.4258.1%+4.5
65Alex DeBrincatDET · R82670.8217:54+0.93+2.2449.4%−1.6
66Jordan KyrouSTL · R82670.8218:20+0.91+2.5049.4%+3.8
67Evgeni MalkinPIT · C82670.8218:35+0.87+2.6051.9%+2.5
68Brad MarchandBOS · L82670.8219:06+0.90+2.6251.7%+1.9
69Joe PavelskiDAL · C82670.8216:49+0.90+3.1253.2%+1.6
70Dylan StromeWSH · C82670.8217:57+0.84+3.7153.2%+4.4
71Drake BathersonOTT · R82660.8018:10+0.85+3.0249.6%+3.7
72Alex OvechkinWSH · L79650.8219:13+0.91+2.0044.1%+3.2
73Matt DucheneDAL · C80650.8116:46+0.86+2.8151.7%+1.0
74Roope HintzDAL · C80650.8117:14+0.92+3.2558.5%+3.9
75John TavaresTOR · C80650.8117:52+1.01+1.2155.3%−10.0
76Cole CaufieldMTL · R82650.7919:25+0.97+1.2649.2%−6.1
77Wyatt JohnstonDAL · C82650.7917:00+0.93+3.3357.0%+4.5
78Joel Eriksson EkMIN · C77640.8320:32+1.04+1.1955.3%−4.9
79Claude GirouxOTT · R82640.7820:06+0.80+3.7152.3%+3.1
80Mats ZuccarelloMIN · R69630.9118:54+0.91+2.9352.5%−3.4
81Pavel BuchnevichSTL · L80630.7919:49+0.83+1.2750.1%−2.7
82Jared McCannSEA · L80620.7816:46+0.91+3.3051.4%+5.6
83Mike MathesonMTL · D82620.7625:33+0.71+0.6544.9%−1.0
84Kyle ConnorWPG · L65610.9419:43+1.06+2.2949.2%+6.7
85Connor BedardCHI · C68610.9019:47+0.86+1.6039.6%−1.7
86Nick SchmaltzARI · C79610.7719:11+0.77+1.8248.3%−0.8
87Nikolaj EhlersWPG · L82610.7415:52+0.91+3.1857.5%+3.5
88Mikael GranlundSJS · C69600.8720:58+0.74+0.7940.9%−2.6
89William KarlssonVGK · C70600.8617:36+1.04+3.6957.9%+6.9
90Johnny GaudreauCBJ · L81600.7418:49+0.68+2.0448.3%−6.8
91Jamie BennDAL · L82600.7315:07+0.81+2.7754.5%+0.7
92Charlie CoyleBOS · C82600.7318:04+0.78+2.5548.2%+5.6
93Frank VatranoANA · R82600.7318:21+0.86+1.6542.4%+10.6
94Alex TuchBUF · R75590.7919:30+0.89+1.2850.0%−1.9
95Pavel ZachaBOS · C78590.7618:06+0.81+1.9551.1%−0.3
96Rasmus DahlinBUF · D81590.7325:25+0.91+2.6752.2%+4.8
97Oliver BjorkstrandSEA · R82590.7216:11+0.78+2.1251.6%+0.9
98Yegor SharangovichCGY · C82590.7217:19+0.74+2.9345.7%+8.1
99Sean MonahanMTL, WPG · C83590.7118:06+0.79+2.0849.7%−0.1
100Morgan RiellyTOR · D72580.8123:44+0.82+2.0451.0%−2.4

51–100 of 924 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.