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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 = 201 qualified D

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
1OTT+10.5%
ELITE
100th
2NYR+8.7%
ELITE
100th
3EDM+8.4%
ELITE
99th
4EDM+7.7%
ELITE
98th
5VAN+6.9%
ELITE
98th
6MTL+6.6%
ELITE
97th
7DET+6.5%
ELITE
97th
8NYI+6.0%
ELITE
96th
9TBL+5.6%
ELITE
96th
10SJS+5.5%
ELITE
96th
11TBL+4.9%
ELITE
95th
12CBJ+4.9%
ELITE
95th
13TOR+4.8%
ELITE
94th
14NYI+4.7%
ELITE
94th
15VAN+4.7%
ELITE
94th
16CGY+4.6%
ELITE
93rd
17PIT+4.6%
ELITE
93rd
18CBJ+4.5%
ELITE
92nd
19DET+4.5%
ELITE
92nd
20STL+4.4%
ELITE
91st
21WSH+4.3%
ELITE
90th
22BOS+4.2%
ELITE
90th
23OTT+4.1%
STRONG
89th
24NJD+4.0%
STRONG
89th
25WSH+3.7%
STRONG
88th
26BUF+3.7%
STRONG
88th
27BUF+3.6%
STRONG
87th
28SJS+3.6%
STRONG
87th
29LAK+3.5%
STRONG
86th
30COL+3.3%
STRONG
85th
31NJD+3.0%
STRONG
84th
32MIN+3.0%
STRONG
84th
33NSH+2.9%
STRONG
84th
34UTA+2.8%
STRONG
83rd
35FLA+2.8%
STRONG
83rd
36WPG+2.7%
STRONG
82nd
37NYI+2.6%
STRONG
82nd
38DAL+2.4%
STRONG
80th
39CAR+2.4%
STRONG
80th
40WPG+2.4%
STRONG
80th
41MIN+2.1%
STRONG
79th
42CAR+2.1%
STRONG
79th
43TOR+2.0%
STRONG
76th
44VGK+2.0%
STRONG
76th
45SEA+2.0%
STRONG
76th
46ANA+2.0%
STRONG
76th
47PIT+2.0%
STRONG
76th
48LAK+2.0%
STRONG
76th
49ANA+1.8%
STRONG
76th
50CBJ+1.7%
STRONG
75th
51CBJ+1.6%
STRONG
75th
52UTA+1.5%
STRONG
73rd
53NYR+1.5%
STRONG
73rd
54UTA+1.5%
STRONG
73rd
55PHI+1.4%
STRONG
72nd
56UTA+1.4%
STRONG
72nd
57DAL+1.3%
STRONG
70th
58BOS+1.3%
STRONG
70th
59PHI+1.3%
STRONG
70th
60MTL+1.3%
STRONG
70th
61STL+1.3%
STRONG
70th
62CGY+1.2%
AVERAGE
69th
63EDM+1.2%
AVERAGE
69th
64WPG+1.1%
AVERAGE
67th
65CHI+1.1%
AVERAGE
67th
66VGK+1.1%
AVERAGE
67th
67COL+1.0%
AVERAGE
66th
68NSH+1.0%
AVERAGE
66th
69DET+0.9%
AVERAGE
66th
70SEA+0.8%
AVERAGE
65th
71CHI+0.6%
AVERAGE
64th
72OTT+0.6%
AVERAGE
64th
73PHI+0.6%
AVERAGE
64th
74CAR+0.5%
AVERAGE
62nd
75FLA+0.5%
AVERAGE
62nd
76COL+0.5%
AVERAGE
62nd
77NSH+0.4%
AVERAGE
62nd
78NYR+0.3%
AVERAGE
59th
79NSH+0.3%
AVERAGE
59th
80SJS+0.3%
AVERAGE
59th
81SEA+0.3%
AVERAGE
59th
82SJS+0.3%
AVERAGE
59th
83WSH+0.2%
AVERAGE
58th
84FLA+0.2%
AVERAGE
58th
85ANA+0.2%
AVERAGE
58th
86PHI+0.1%
AVERAGE
57th
87BUF+0.1%
AVERAGE
57th
88DAL+0.0%
AVERAGE
55th
89MIN+0.0%
AVERAGE
55th
90SEA+0.0%
AVERAGE
55th
91VGK-0.1%
AVERAGE
55th
92VGK-0.1%
AVERAGE
55th
93VGK-0.1%
AVERAGE
55th
94ANA-0.2%
AVERAGE
54th
95PHI-0.3%
AVERAGE
53rd
96NSH-0.3%
AVERAGE
53rd
97DAL-0.4%
AVERAGE
52nd
98BOS-0.4%
AVERAGE
52nd
99NSH-0.4%
AVERAGE
52nd
100CHI-0.5%
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.