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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.

TOI / Game (min)

n = 201 qualified D

Average minutes of ice time per game.

all · higher is better — leaders on top · min

#TmPlayerValuevs. position
1VAN27.74
ELITE
100th
2CBJ26.61
ELITE
99th
3DET25.67
ELITE
99th
4DAL25.47
ELITE
98th
5VAN25.01
ELITE
98th
6NSH24.88
ELITE
98th
7COL24.85
ELITE
97th
8OTT24.84
ELITE
96th
9CBJ24.81
ELITE
96th
10WPG24.72
ELITE
95th
11NYI24.68
ELITE
95th
12EDM24.68
ELITE
94th
13MIN24.68
ELITE
94th
14BOS24.39
ELITE
93rd
15UTA24.30
ELITE
93rd
16ANA24.25
ELITE
93rd
17PHI24.22
ELITE
92nd
18BUF24.19
ELITE
91st
19MTL24.16
ELITE
91st
20MTL23.77
ELITE
90th
21NYR23.73
ELITE
90th
22FLA23.70
ELITE
90th
23NYR23.63
STRONG
89th
24PIT23.60
STRONG
88th
25STL23.36
STRONG
88th
26WSH23.34
STRONG
87th
27DAL23.23
STRONG
87th
28CGY23.20
STRONG
86th
29WSH23.16
STRONG
86th
30LAK23.09
STRONG
85th
31DAL23.06
STRONG
85th
32NJD23.01
STRONG
85th
33VGK22.84
STRONG
84th
34BUF22.83
STRONG
83rd
35ANA22.83
STRONG
83rd
36WPG22.71
STRONG
82nd
37TBL22.69
STRONG
82nd
38FLA22.63
STRONG
82nd
39NSH22.61
STRONG
81st
40VGK22.60
STRONG
81st
41OTT22.58
STRONG
80th
42SEA22.56
STRONG
79th
43PHI22.54
STRONG
79th
44MTL22.48
STRONG
79th
45FLA22.48
STRONG
78th
46CGY22.46
STRONG
77th
47TOR22.40
STRONG
77th
48CAR22.39
STRONG
76th
49COL22.37
STRONG
76th
50DET22.36
STRONG
76th
51BUF22.34
STRONG
75th
52STL22.20
STRONG
74th
53STL22.01
STRONG
74th
54CGY21.95
STRONG
74th
55WPG21.82
STRONG
73rd
56CAR21.81
STRONG
72nd
57PIT21.68
STRONG
72nd
58SEA21.66
STRONG
71st
59BUF21.65
STRONG
71st
60BOS21.62
STRONG
70th
61TBL21.57
STRONG
70th
62PHI21.55
AVERAGE
69th
63NJD21.54
AVERAGE
69th
64WPG21.46
AVERAGE
68th
65VAN21.45
AVERAGE
68th
66PHI21.39
AVERAGE
68th
67SEA21.37
AVERAGE
67th
68SJS21.20
AVERAGE
66th
69TOR21.14
AVERAGE
66th
70CHI21.13
AVERAGE
65th
71STL21.08
AVERAGE
65th
72CBJ21.07
AVERAGE
64th
73SJS21.03
AVERAGE
64th
74EDM20.97
AVERAGE
63rd
75NYI20.89
AVERAGE
63rd
76BOS20.88
AVERAGE
63rd
77DET20.84
AVERAGE
62nd
78NYI20.82
AVERAGE
62nd
79OTT20.79
AVERAGE
61st
80WSH20.61
AVERAGE
60th
81TOR20.60
AVERAGE
60th
82EDM20.59
AVERAGE
60th
83LAK20.57
AVERAGE
59th
84VGK20.52
AVERAGE
59th
85SJS20.47
AVERAGE
58th
86NYR20.44
AVERAGE
58th
87FLA20.36
AVERAGE
57th
88VGK20.32
AVERAGE
57th
89MIN20.29
AVERAGE
56th
90UTA20.20
AVERAGE
56th
91PIT20.17
AVERAGE
55th
92CAR20.14
AVERAGE
54th
93CGY20.08
AVERAGE
54th
94SJS19.85
AVERAGE
54th
95LAK19.80
AVERAGE
53rd
96UTA19.70
AVERAGE
53rd
97NJD19.67
AVERAGE
52nd
98NSH19.63
AVERAGE
51st
99CHI19.61
AVERAGE
51st
100MIN19.59
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.