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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.

High-Danger Shot Share

n = 201 qualified D

Percentage of this player's shots that come from high-danger areas.

all · higher is better — leaders on top · %

#TmPlayerValuevs. position
1WSH11.4%
ELITE
100th
2UTA10.9%
ELITE
100th
3BUF9.2%
ELITE
99th
4ANA7.6%
ELITE
98th
5MTL7.0%
ELITE
98th
6WSH6.5%
ELITE
97th
7NSH6.5%
ELITE
96th
8MTL6.5%
ELITE
96th
9LAK6.3%
ELITE
96th
10OTT6.1%
ELITE
95th
11ANA6.1%
ELITE
95th
12DAL6.0%
ELITE
95th
13PHI5.6%
ELITE
94th
14PHI5.6%
ELITE
94th
15NYR5.5%
ELITE
93rd
16PHI5.3%
ELITE
93rd
17PHI5.2%
ELITE
92nd
18TBL5.1%
ELITE
91st
19LAK4.9%
ELITE
91st
20COL4.9%
ELITE
90th
21MIN4.8%
ELITE
90th
22DAL4.7%
STRONG
89th
23BOS4.7%
STRONG
89th
24BUF4.6%
STRONG
89th
25CBJ4.5%
STRONG
88th
26TBL4.5%
STRONG
87th
27CGY4.5%
STRONG
87th
28VGK4.5%
STRONG
86th
29BOS4.3%
STRONG
85th
30PHI4.3%
STRONG
85th
31SEA4.2%
STRONG
85th
32BUF4.1%
STRONG
84th
33NYI4.1%
STRONG
84th
34CHI4.0%
STRONG
83rd
35NJD4.0%
STRONG
83rd
36VGK3.8%
STRONG
83rd
37MTL3.8%
STRONG
83rd
38MTL3.8%
STRONG
82nd
39NSH3.8%
STRONG
82nd
40TBL3.8%
STRONG
81st
41WSH3.6%
STRONG
80th
42UTA3.6%
STRONG
79th
43COL3.5%
STRONG
79th
44DET3.4%
STRONG
79th
45LAK3.4%
STRONG
78th
46CBJ3.2%
STRONG
77th
47EDM3.1%
STRONG
77th
48STL3.1%
STRONG
76th
49VAN3.0%
STRONG
75th
50TOR3.0%
STRONG
75th
51LAK3.0%
STRONG
75th
52UTA2.9%
STRONG
75th
53PIT2.9%
STRONG
73rd
54WPG2.9%
STRONG
73rd
55STL2.9%
STRONG
73rd
56WSH2.7%
STRONG
72nd
57VGK2.7%
STRONG
72nd
58ANA2.5%
STRONG
71st
59TBL2.5%
STRONG
70th
60SJS2.5%
STRONG
70th
61CAR2.4%
STRONG
70th
62COL2.3%
STRONG
70th
63CGY2.3%
AVERAGE
69th
64TBL2.3%
AVERAGE
69th
65CBJ2.3%
AVERAGE
68th
66VAN2.3%
AVERAGE
67th
67MIN2.2%
AVERAGE
67th
68NSH2.2%
AVERAGE
66th
69VAN2.2%
AVERAGE
66th
70DAL2.2%
AVERAGE
65th
71OTT2.2%
AVERAGE
65th
72WSH2.1%
AVERAGE
65th
73WPG2.1%
AVERAGE
64th
74OTT2.0%
AVERAGE
63rd
75NJD2.0%
AVERAGE
63rd
76NYR2.0%
AVERAGE
63rd
77DET1.9%
AVERAGE
62nd
78PIT1.9%
AVERAGE
62nd
79NSH1.8%
AVERAGE
60th
80BOS1.8%
AVERAGE
60th
81NSH1.8%
AVERAGE
59th
82MTL1.8%
AVERAGE
59th
83DAL1.8%
AVERAGE
59th
84CGY1.8%
AVERAGE
59th
85DAL1.8%
AVERAGE
59th
86COL1.7%
AVERAGE
57th
87MIN1.7%
AVERAGE
57th
88VAN1.7%
AVERAGE
56th
89NSH1.7%
AVERAGE
56th
90CAR1.7%
AVERAGE
56th
91TOR1.7%
AVERAGE
55th
92CAR1.6%
AVERAGE
54th
93UTA1.6%
AVERAGE
53rd
94NYR1.6%
AVERAGE
53rd
95CGY1.6%
AVERAGE
53rd
96CBJ1.5%
AVERAGE
53rd
97STL1.5%
AVERAGE
53rd
98TBL1.4%
AVERAGE
52nd
99NSH1.4%
AVERAGE
51st
100EDM1.4%
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.