Backcheck
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.

Goals / 60

n = 201 qualified D

Goals scored per 60 minutes of ice time.

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

#TmPlayerValuevs. position
1WSH0.84
ELITE
100th
2TBL0.80
ELITE
100th
3CAR0.74
ELITE
99th
4NYI0.68
ELITE
98th
5CBJ0.66
ELITE
98th
6COL0.64
ELITE
97th
7EDM0.62
ELITE
97th
8BUF0.61
ELITE
96th
9STL0.56
ELITE
96th
10CGY0.54
ELITE
95th
11CBJ0.54
ELITE
95th
12SJS0.52
ELITE
95th
13WSH0.51
ELITE
94th
14PIT0.51
ELITE
94th
15OTT0.50
ELITE
93rd
16NJD0.49
ELITE
93rd
17EDM0.48
ELITE
92nd
18NSH0.47
ELITE
92nd
19COL0.47
ELITE
91st
20NSH0.46
ELITE
91st
21SEA0.46
ELITE
90th
22MIN0.46
ELITE
90th
23VGK0.45
STRONG
89th
24CAR0.45
STRONG
89th
25WPG0.44
STRONG
88th
26BUF0.44
STRONG
87th
27NJD0.43
STRONG
87th
28NYR0.43
STRONG
87th
29WPG0.43
STRONG
86th
30NYR0.42
STRONG
85th
31SEA0.40
STRONG
85th
32TOR0.40
STRONG
84th
33MTL0.40
STRONG
84th
34BOS0.39
STRONG
84th
35TBL0.39
STRONG
83rd
36DET0.38
STRONG
82nd
37SEA0.38
STRONG
82nd
38VGK0.38
STRONG
81st
39MTL0.37
STRONG
81st
40BUF0.36
STRONG
81st
41ANA0.36
STRONG
80th
42SJS0.35
STRONG
79th
43FLA0.34
STRONG
79th
44BOS0.34
STRONG
78th
45FLA0.34
STRONG
78th
46PHI0.34
STRONG
78th
47DET0.34
STRONG
77th
48COL0.33
STRONG
77th
49OTT0.33
STRONG
76th
50ANA0.33
STRONG
75th
51ANA0.32
STRONG
75th
52CBJ0.32
STRONG
74th
53UTA0.32
STRONG
74th
54CHI0.31
STRONG
73rd
55OTT0.31
STRONG
73rd
56DAL0.31
STRONG
73rd
57CAR0.31
STRONG
72nd
58ANA0.30
STRONG
72nd
59MTL0.30
STRONG
71st
60TOR0.30
STRONG
71st
61CAR0.30
STRONG
70th
62LAK0.30
AVERAGE
69th
63NYR0.29
AVERAGE
69th
64PHI0.29
AVERAGE
68th
65DET0.29
AVERAGE
68th
66TBL0.28
AVERAGE
67th
67DAL0.28
AVERAGE
67th
68TBL0.27
AVERAGE
67th
69BUF0.27
AVERAGE
66th
70STL0.27
AVERAGE
65th
71CBJ0.27
AVERAGE
65th
72ANA0.26
AVERAGE
65th
73UTA0.26
AVERAGE
64th
74BUF0.25
AVERAGE
63rd
75VAN0.25
AVERAGE
63rd
76TBL0.25
AVERAGE
63rd
77CBJ0.24
AVERAGE
62nd
78EDM0.24
AVERAGE
61st
79SJS0.24
AVERAGE
61st
80CHI0.24
AVERAGE
60th
81MIN0.24
AVERAGE
60th
82SEA0.24
AVERAGE
59th
83NYR0.24
AVERAGE
59th
84CHI0.24
AVERAGE
59th
85PIT0.24
AVERAGE
58th
86VAN0.23
AVERAGE
58th
87MIN0.23
AVERAGE
57th
88VGK0.23
AVERAGE
56th
89OTT0.23
AVERAGE
56th
90NJD0.23
AVERAGE
56th
91SEA0.23
AVERAGE
55th
92DAL0.22
AVERAGE
55th
93MTL0.22
AVERAGE
54th
94NYR0.22
AVERAGE
53rd
95BUF0.22
AVERAGE
53rd
96WSH0.21
AVERAGE
52nd
97CHI0.21
AVERAGE
52nd
98COL0.21
AVERAGE
51st
99EDM0.21
AVERAGE
51st
100UTA0.21
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.