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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.

Relative Corsi% (on-off)

n = 411 qualified F

How much a team's shot-attempt share improves with this player on the ice at 5-on-5 versus off it.

5on5 · higher is better — leaders on top · %

#TmPlayerValuevs. position
1NSH+9.2%
ELITE
100th
2NJD+8.2%
ELITE
100th
3STL+7.8%
ELITE
99th
4TBL+7.3%
ELITE
99th
5NYR+6.5%
ELITE
99th
6NJD+6.1%
ELITE
99th
7ANA+6.0%
ELITE
98th
8DAL+6.0%
ELITE
98th
9FLA+5.9%
ELITE
98th
10MTL+5.7%
ELITE
98th
11MTL+5.7%
ELITE
98th
12EDM+5.7%
ELITE
98th
13OTT+5.6%
ELITE
97th
14VAN+5.5%
ELITE
97th
15WSH+5.5%
ELITE
97th
16DAL+5.4%
ELITE
96th
17OTT+5.4%
ELITE
96th
18VGK+5.3%
ELITE
96th
19STL+5.2%
ELITE
95th
20UTA+5.2%
ELITE
95th
21TOR+5.0%
ELITE
95th
22NYR+4.9%
ELITE
95th
23VGK+4.9%
ELITE
95th
24TBL+4.8%
ELITE
94th
25NJD+4.8%
ELITE
94th
26VGK+4.6%
ELITE
94th
27WSH+4.6%
ELITE
94th
28NYI+4.5%
ELITE
93rd
29MIN+4.5%
ELITE
93rd
30VAN+4.5%
ELITE
93rd
31WSH+4.5%
ELITE
93rd
32EDM+4.4%
ELITE
92nd
33UTA+4.3%
ELITE
92nd
34BOS+4.3%
ELITE
92nd
35EDM+4.3%
ELITE
92nd
36SEA+4.2%
ELITE
91st
37CGY+4.2%
ELITE
91st
38TOR+4.2%
ELITE
91st
39ANA+4.1%
ELITE
90th
40SJS+4.1%
ELITE
90th
41NJD+4.1%
ELITE
90th
42DAL+4.0%
ELITE
90th
43OTT+4.0%
ELITE
90th
44ANA+4.0%
ELITE
90th
45LAK+3.8%
STRONG
88th
46NJD+3.8%
STRONG
88th
47TBL+3.8%
STRONG
88th
48SEA+3.8%
STRONG
88th
49FLA+3.8%
STRONG
88th
50NYI+3.8%
STRONG
88th
51SJS+3.6%
STRONG
88th
52MIN+3.6%
STRONG
88th
53MIN+3.6%
STRONG
88th
54VGK+3.6%
STRONG
88th
55PHI+3.5%
STRONG
87th
56FLA+3.4%
STRONG
86th
57DET+3.4%
STRONG
86th
58CBJ+3.4%
STRONG
86th
59NYI+3.3%
STRONG
85th
60UTA+3.3%
STRONG
85th
61STL+3.3%
STRONG
85th
62BUF+3.2%
STRONG
84th
63EDM+3.2%
STRONG
84th
64PHI+3.2%
STRONG
84th
65BUF+3.2%
STRONG
84th
66FLA+3.2%
STRONG
84th
67WPG+3.2%
STRONG
84th
68NSH+3.1%
STRONG
83rd
69SJS+3.0%
STRONG
83rd
70DET+3.0%
STRONG
83rd
71LAK+2.9%
STRONG
82nd
72DET+2.9%
STRONG
82nd
73CAR+2.8%
STRONG
82nd
74COL+2.8%
STRONG
82nd
75CBJ+2.7%
STRONG
81st
76MIN+2.7%
STRONG
81st
77NSH+2.7%
STRONG
81st
78BUF+2.6%
STRONG
81st
79TOR+2.6%
STRONG
81st
80ANA+2.5%
STRONG
81st
81NYR+2.4%
STRONG
80th
82EDM+2.4%
STRONG
80th
83PIT+2.4%
STRONG
80th
84VAN+2.4%
STRONG
80th
85SEA+2.3%
STRONG
79th
86PHI+2.3%
STRONG
79th
87SEA+2.3%
STRONG
79th
88BUF+2.3%
STRONG
79th
89DET+2.2%
STRONG
77th
90BOS+2.2%
STRONG
77th
91STL+2.2%
STRONG
77th
92WPG+2.2%
STRONG
77th
93SEA+2.2%
STRONG
77th
94MTL+2.2%
STRONG
77th
95DET+2.1%
STRONG
76th
96CHI+2.1%
STRONG
76th
97PHI+2.1%
STRONG
76th
98PIT+2.1%
STRONG
76th
99CHI+2.1%
STRONG
76th
100CAR+2.0%
STRONG
75th

◆ 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.