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
1Jackson BlakeCAR · R100.0015:18−0.25−0.0433.9%−0.2
2Anton BlidhNYR · L100.005:21−0.08−0.015.4%−0.0
3Mavrik BourqueDAL · C100.0010:56+0.19−0.0367.8%−0.2
4Gavin BrindleyCBJ · C100.0012:20+0.02+0.0048.9%—
5Callahan BurkeCAR · C100.007:06+0.26+0.025.6%—
6Cameron ButlerCBJ · R100.000:54+0.01+0.00100.0%—
7Declan CarlileTBL · D100.0011:27+0.32+0.0175.7%−0.0
8Dylan CoghlanCAR · D100.0017:59+0.10+0.0266.1%−0.0
9Cameron CrottyARI · D100.0010:03−0.01−0.0232.0%−0.0
10Cale FleurySEA · D100.0013:30+0.32+0.0170.9%−0.1
11Rhett GardnerPHI · C100.007:28+0.13+0.0164.7%—
12Glenn GawdinANA · C100.007:35−0.19−0.0422.8%−0.0
13Marc JohnstonePIT · R100.007:19−0.17−0.020.0%—
14Philip KempEDM · D100.002:03+0.010.00100.0%—
15Jujhar KhairaMIN · L100.008:05+0.17−0.0118.6%−0.0
16Patrik KochARI · D100.009:20+0.19−0.0134.1%−0.0
17Jiri KulichBUF · C100.0014:53+0.15−0.0137.9%−0.0
18Yan KuznetsovCGY · D100.0011:58+0.01−0.0244.3%−0.1
19Jake LeschyshynNYR · C100.006:28−0.12−0.0123.1%—
20Kole LindSEA · R100.005:59+0.03+0.0057.9%—
21Oskar LindblomSJS · L100.0011:56−0.08−0.0126.3%—
22Connor MackeyNYR · D100.0016:27+0.18−0.0130.2%−0.0
23Max McCormickSEA · L100.005:38−0.03−0.0118.5%—
24Cole McWardVAN · D100.009:05+0.10−0.0051.2%−0.0
25Jayson MegnaBOS · C100.0011:45+0.07−0.0076.8%−0.1
26Victor MetePHI · D100.0010:52+0.02−0.0135.9%—
27Bradly NadeauCAR · L100.0019:08+0.07−0.0154.6%−0.3
28Riley NashNYR · C100.0011:05+0.17+0.0178.6%−0.0
29Oskar OlaussonCOL · R100.0011:50+0.20−0.0319.1%−0.0
30Gustav OlofssonSEA · D100.0014:57+0.09−0.0138.0%—
31Alexander PetrovicDAL · D100.0012:52−0.17−0.0711.0%−0.1
32Matt SavoieBUF · C100.003:55+0.03+0.0072.7%—
33Brandon ScanlinNYR · D100.0010:46−0.03−0.023.8%—
34Alex SteevesTOR · C100.0010:14+0.15−0.0285.9%−0.2
35Maksymilian SzuberARI · D100.0016:59−0.17−0.0261.3%−0.0
36Egor AfanasyevNSH · L200.0012:60+0.13−0.0629.8%−0.2
37Tyler AngleCBJ · C200.008:20+0.03−0.0113.6%−0.0
38Ethan Del MastroCHI · D200.0018:35+0.03+0.0159.5%—
39Adam GaudetteSTL · R200.009:48−0.03−0.0773.8%−0.2
40Gage GoncalvesTBL · C200.009:58−0.08−0.0676.5%−0.1
41Brian HalonenNJD · L200.008:17+0.13−0.0352.7%−0.2
42John HaydenSEA · C200.006:44+0.040.0052.0%−0.0
43Grant HuttonNYI · D200.008:46+0.10−0.0048.8%−0.0
44Justin KirklandARI · C200.007:14+0.14−0.0160.8%−0.2
45Samuel LabergeNJD · L200.003:06+0.04−0.0040.6%—
46Scott MorrowCAR · D200.0018:23+0.05−0.0451.6%−0.2
47Brett MurrayBUF · L200.007:58−0.01−0.0555.0%−0.1
48Ondrej PavelCOL · C200.006:06+0.01−0.0890.2%−0.3
49Andrew PoturalskiSEA · C200.006:53+0.01+0.026.0%—
50Marshall RifaiTOR · D200.0011:40+0.20−0.0149.2%−0.0

1–50 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.