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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.

On-Ice xGF / 60

n = 201 qualified D

Expected goals the team creates per 60 minutes with this player on the ice at 5-on-5.

5on5 · higher is better — leaders on top · xGF/60

#TmPlayerValuevs. position
1CAR2.74
ELITE
100th
2COL2.73
ELITE
100th
3EDM2.72
ELITE
99th
4OTT2.66
ELITE
98th
5COL2.65
ELITE
98th
6UTA2.60
ELITE
98th
7COL2.52
ELITE
97th
8CBJ2.52
ELITE
97th
9CAR2.51
ELITE
96th
10COL2.51
ELITE
95th
11VGK2.49
ELITE
95th
12TBL2.48
ELITE
94th
13ANA2.47
ELITE
94th
14CAR2.47
ELITE
93rd
15ANA2.46
ELITE
93rd
16UTA2.46
ELITE
92nd
17MTL2.44
ELITE
92nd
18CAR2.44
ELITE
92nd
19PIT2.42
ELITE
91st
20PIT2.41
ELITE
90th
21CAR2.41
ELITE
90th
22CAR2.40
STRONG
89th
23EDM2.36
STRONG
89th
24COL2.36
STRONG
88th
25VGK2.36
STRONG
88th
26ANA2.35
STRONG
88th
27WSH2.35
STRONG
87th
28DAL2.34
STRONG
86th
29BUF2.33
STRONG
86th
30OTT2.32
STRONG
85th
31CBJ2.31
STRONG
85th
32BOS2.31
STRONG
85th
33CBJ2.30
STRONG
84th
34OTT2.28
STRONG
83rd
35TBL2.28
STRONG
83rd
36OTT2.28
STRONG
83rd
37NSH2.27
STRONG
82nd
38FLA2.27
STRONG
81st
39EDM2.27
STRONG
81st
40DET2.27
STRONG
80th
41CBJ2.24
STRONG
80th
42PIT2.24
STRONG
80th
43CBJ2.24
STRONG
79th
44MTL2.23
STRONG
78th
45BUF2.23
STRONG
78th
46DAL2.23
STRONG
77th
47VGK2.23
STRONG
77th
48UTA2.23
STRONG
77th
49PHI2.23
STRONG
76th
50VAN2.23
STRONG
75th
51NSH2.23
STRONG
75th
52VGK2.23
STRONG
74th
53ANA2.22
STRONG
74th
54UTA2.22
STRONG
74th
55ANA2.21
STRONG
73rd
56STL2.21
STRONG
72nd
57NSH2.20
STRONG
72nd
58TBL2.19
STRONG
72nd
59NSH2.19
STRONG
71st
60VGK2.18
STRONG
71st
61MIN2.18
STRONG
70th
62PIT2.18
STRONG
70th
63CGY2.18
AVERAGE
69th
64COL2.18
AVERAGE
69th
65WSH2.18
AVERAGE
68th
66MIN2.17
AVERAGE
67th
67WPG2.16
AVERAGE
67th
68WSH2.16
AVERAGE
66th
69BUF2.15
AVERAGE
66th
70VGK2.15
AVERAGE
66th
71BUF2.15
AVERAGE
65th
72NJD2.15
AVERAGE
64th
73NYI2.15
AVERAGE
64th
74NYI2.14
AVERAGE
64th
75NYR2.14
AVERAGE
63rd
76OTT2.14
AVERAGE
63rd
77EDM2.12
AVERAGE
62nd
78TOR2.12
AVERAGE
62nd
79ANA2.12
AVERAGE
61st
80MTL2.10
AVERAGE
60th
81EDM2.10
AVERAGE
60th
82DAL2.09
AVERAGE
59th
83MTL2.09
AVERAGE
59th
84STL2.09
AVERAGE
59th
85NJD2.09
AVERAGE
58th
86NSH2.09
AVERAGE
57th
87WSH2.09
AVERAGE
57th
88NYR2.08
AVERAGE
56th
89LAK2.08
AVERAGE
56th
90BOS2.08
AVERAGE
55th
91TOR2.08
AVERAGE
55th
92BUF2.07
AVERAGE
55th
93SJS2.07
AVERAGE
54th
94PHI2.07
AVERAGE
54th
95FLA2.07
AVERAGE
53rd
96WPG2.07
AVERAGE
53rd
97CBJ2.06
AVERAGE
52nd
98LAK2.06
AVERAGE
52nd
99ANA2.06
AVERAGE
51st
100BOS2.06
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.