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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 xG% (on-off)

n = 411 qualified F

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

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

#TmPlayerValuevs. position
1STL+13.7%
ELITE
100th
2SEA+9.6%
ELITE
100th
3WSH+8.6%
ELITE
99th
4VAN+7.7%
ELITE
99th
5NSH+7.7%
ELITE
99th
6VAN+7.6%
ELITE
99th
7BOS+7.5%
ELITE
99th
8WSH+7.2%
ELITE
98th
9SEA+6.8%
ELITE
98th
10NYR+6.8%
ELITE
98th
11PIT+6.8%
ELITE
97th
12CGY+6.7%
ELITE
97th
13SEA+6.6%
ELITE
97th
14LAK+6.6%
ELITE
97th
15NYR+6.5%
ELITE
96th
16OTT+6.4%
ELITE
96th
17UTA+6.3%
ELITE
96th
18STL+6.3%
ELITE
96th
19BUF+6.2%
ELITE
96th
20FLA+6.1%
ELITE
95th
21DAL+6.0%
ELITE
95th
22TBL+6.0%
ELITE
95th
23BUF+5.9%
ELITE
94th
24NYR+5.8%
ELITE
94th
25STL+5.8%
ELITE
94th
26PIT+5.7%
ELITE
94th
27SEA+5.7%
ELITE
94th
28BOS+5.7%
ELITE
93rd
29EDM+5.6%
ELITE
93rd
30TOR+5.6%
ELITE
93rd
31NJD+5.5%
ELITE
92nd
32FLA+5.5%
ELITE
92nd
33TBL+5.3%
ELITE
92nd
34STL+5.2%
ELITE
92nd
35TOR+5.1%
ELITE
91st
36UTA+5.0%
ELITE
91st
37CGY+5.0%
ELITE
91st
38CGY+5.0%
ELITE
91st
39CBJ+4.9%
ELITE
91st
40NYI+4.9%
ELITE
90th
41NYI+4.8%
ELITE
90th
42CBJ+4.7%
ELITE
90th
43DAL+4.6%
ELITE
90th
44STL+4.5%
STRONG
89th
45DAL+4.5%
STRONG
89th
46NYI+4.4%
STRONG
89th
47CHI+4.4%
STRONG
89th
48EDM+4.4%
STRONG
88th
49NJD+4.4%
STRONG
88th
50LAK+4.3%
STRONG
88th
51CGY+4.3%
STRONG
88th
52NSH+4.3%
STRONG
87th
53CHI+4.3%
STRONG
87th
54UTA+4.2%
STRONG
87th
55NYR+4.2%
STRONG
87th
56FLA+3.9%
STRONG
87th
57CBJ+3.9%
STRONG
86th
58OTT+3.9%
STRONG
86th
59ANA+3.8%
STRONG
86th
60ANA+3.8%
STRONG
86th
61CHI+3.8%
STRONG
85th
62UTA+3.7%
STRONG
85th
63BUF+3.7%
STRONG
85th
64BOS+3.6%
STRONG
84th
65WSH+3.6%
STRONG
84th
66MIN+3.6%
STRONG
84th
67UTA+3.6%
STRONG
84th
68STL+3.6%
STRONG
84th
69VGK+3.6%
STRONG
83rd
70CBJ+3.6%
STRONG
83rd
71PHI+3.6%
STRONG
83rd
72BOS+3.5%
STRONG
83rd
73CHI+3.4%
STRONG
82nd
74TBL+3.4%
STRONG
82nd
75SJS+3.3%
STRONG
82nd
76NSH+3.3%
STRONG
82nd
77PIT+3.3%
STRONG
81st
78MTL+3.3%
STRONG
81st
79CAR+3.3%
STRONG
81st
80NYI+3.2%
STRONG
81st
81NYI+3.2%
STRONG
80th
82STL+3.1%
STRONG
80th
83CAR+3.1%
STRONG
80th
84NJD+3.1%
STRONG
80th
85SEA+3.0%
STRONG
80th
86SEA+3.0%
STRONG
79th
87COL+2.9%
STRONG
79th
88VGK+2.9%
STRONG
79th
89WPG+2.9%
STRONG
79th
90VGK+2.9%
STRONG
78th
91LAK+2.9%
STRONG
78th
92PHI+2.8%
STRONG
78th
93COL+2.8%
STRONG
78th
94NSH+2.8%
STRONG
77th
95LAK+2.8%
STRONG
77th
96OTT+2.7%
STRONG
77th
97OTT+2.7%
STRONG
76th
98NYI+2.7%
STRONG
76th
99TBL+2.6%
STRONG
76th
100COL+2.6%
STRONG
76th

◆ 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.