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The Lab · Leaderboards
2025-26last seasonAs of Sun, Sep 20

Whole-league leaderboards

Rank every qualified skater on any of 30 metrics — the on-off impact, puck-security, and finishing-luck numbers most sites never surface. Pick a metric, pick a pool, and read the whole league sorted the model's way. Percentiles are always position-relative.

Penalty Differential / 60

n = 201 qualified D

Penalties drawn minus penalties taken per 60 minutes.

all · higher is better — leaders on top · /60

#TmPlayerValuevs. position
1OTT-0.14
ELITE
100th
2UTA-0.16
ELITE
100th
3CBJ-0.17
ELITE
99th
4TBL-0.19
ELITE
99th
5WSH-0.22
ELITE
98th
6STL-0.24
ELITE
97th
7STL-0.25
ELITE
97th
8WSH-0.26
ELITE
97th
9VGK-0.26
ELITE
96th
10CBJ-0.27
ELITE
96th
11MIN-0.27
ELITE
95th
12BUF-0.27
ELITE
94th
13ANA-0.29
ELITE
94th
14WPG-0.29
ELITE
94th
15NSH-0.29
ELITE
93rd
16UTA-0.30
ELITE
92nd
17CHI-0.30
ELITE
92nd
18EDM-0.30
ELITE
91st
19NYI-0.30
ELITE
91st
20PHI-0.31
ELITE
91st
21DAL-0.31
ELITE
90th
22LAK-0.33
ELITE
90th
23DET-0.37
STRONG
89th
24CAR-0.37
STRONG
89th
25PIT-0.37
STRONG
88th
26ANA-0.38
STRONG
87th
27MIN-0.38
STRONG
87th
28COL-0.39
STRONG
86th
29NSH-0.40
STRONG
86th
30LAK-0.40
STRONG
85th
31STL-0.40
STRONG
85th
32UTA-0.41
STRONG
85th
33PIT-0.44
STRONG
84th
34FLA-0.44
STRONG
84th
35BOS-0.44
STRONG
83rd
36EDM-0.44
STRONG
82nd
37VGK-0.45
STRONG
82nd
38LAK-0.45
STRONG
82nd
39COL-0.46
STRONG
81st
40DAL-0.46
STRONG
80th
41NYR-0.46
STRONG
80th
42NYR-0.47
STRONG
80th
43VAN-0.47
STRONG
79th
44BUF-0.47
STRONG
79th
45CBJ-0.47
STRONG
78th
46WPG-0.47
STRONG
78th
47OTT-0.48
STRONG
77th
48VAN-0.48
STRONG
77th
49DAL-0.48
STRONG
76th
50BOS-0.49
STRONG
75th
51EDM-0.49
STRONG
75th
52WSH-0.49
STRONG
74th
53DET-0.49
STRONG
74th
54LAK-0.49
STRONG
73rd
55ANA-0.50
STRONG
73rd
56PHI-0.50
STRONG
73rd
57BUF-0.51
STRONG
72nd
58PHI-0.51
STRONG
72nd
59OTT-0.51
STRONG
71st
60MTL-0.52
STRONG
70th
61TOR-0.53
AVERAGE
69th
62UTA-0.53
AVERAGE
69th
63NSH-0.53
AVERAGE
69th
64EDM-0.53
AVERAGE
68th
65MTL-0.54
AVERAGE
68th
66SJS-0.55
AVERAGE
67th
67BUF-0.55
AVERAGE
67th
68DAL-0.56
AVERAGE
66th
69NYI-0.56
AVERAGE
66th
70MTL-0.57
AVERAGE
65th
71VGK-0.57
AVERAGE
65th
72BOS-0.58
AVERAGE
64th
73NJD-0.58
AVERAGE
64th
74WSH-0.58
AVERAGE
64th
75NSH-0.59
AVERAGE
63rd
76PHI-0.59
AVERAGE
62nd
77ANA-0.59
AVERAGE
62nd
78MIN-0.59
AVERAGE
61st
79CBJ-0.60
AVERAGE
61st
80VGK-0.60
AVERAGE
60th
81SJS-0.61
AVERAGE
60th
82NJD-0.61
AVERAGE
60th
83OTT-0.61
AVERAGE
59th
84EDM-0.62
AVERAGE
58th
85COL-0.62
AVERAGE
58th
86CAR-0.62
AVERAGE
58th
87VGK-0.63
AVERAGE
57th
88PHI-0.63
AVERAGE
56th
89SJS-0.63
AVERAGE
56th
90COL-0.63
AVERAGE
56th
91COL-0.64
AVERAGE
55th
92OTT-0.64
AVERAGE
55th
93NSH-0.65
AVERAGE
54th
94CAR-0.67
AVERAGE
54th
95CHI-0.68
AVERAGE
53rd
96WPG-0.68
AVERAGE
53rd
97NSH-0.69
AVERAGE
52nd
98UTA-0.70
AVERAGE
52nd
99PHI-0.71
AVERAGE
51st
100VAN-0.71
AVERAGE
51st

◆ Method · Single-metric leaderboard over players with games_played >= minGP in the metric's situation; percentiles are position-group relative. Data: MoneyPuck data/mp_skaters_2025.csv. · percentiles are position-relative, model-estimated proxies from MoneyPuck aggregates via the analytics sidecar.