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Inline Power Rankings

Power rankings for different leagues and tournaments around the world. More power rankings coming soon.

NCRHA

2022-2023 season · 666 regular-season games · 115 at Nationals

NCRHA Power Rankings

Every NCRHA team, across divisions, rated by the InlineStats Power Index: how many goals better (+) or worse (−) a team is than an average Division I team, fitted to every game of the season. It has picked the winner in 77.4% of regular-season games across 8 seasons, more than any other ranking we tested. How accurate is it, and how does it work? ↓

#TeamDivisionIPI
1Division I ChampionDivision I ChampionD1+7.78
2Division I Runner-upD1+4.33
3D1+4.04
4D1+3.55
5D1+3.01
6AA Division ChampionAA Division ChampionAA+2.70
7JC+2.13
8D1+2.11
9D2+1.44
10D2+1.14
11Division II Runner-upD2+1.09
12D1+0.58
13Division III ChampionDivision III ChampionD3-0.06
14D2-0.09
15Division II ChampionDivision II ChampionD2-0.11
16D2-0.15
17D2-0.34
18AA-0.68
19D2-0.91
20D2-1.20
21AA-1.37
22D2-1.40
23D2-1.82
24D2-1.96
25D3-2.00
26D3-2.15
27D3-2.18
28Division III Runner-upD3-2.28
29D2-2.30
30D3-2.34
31D2-2.60
32AA-2.63
33D3-2.78
34D3-3.04
35D3-3.57
36D3-3.73
37D3-3.78
38D3-4.18
39AA-4.44
40D3-4.51
41D3-4.66
42AA-4.75
43D3-4.87
44AA Division Runner-upAA-5.32
45D3-5.42
46D3-5.46
47AA-5.74
48D3-5.77
49D3-6.42
50D3-6.46
51D3-6.67
52AA-6.83
53D3-6.99
54D3-7.56
55AA-7.61
56D3-7.75
57AA-8.15
58D3-8.45
59AA-8.58
60D3-8.79
61D3-8.86
62AA-8.87
63D3-9.09
64D3-9.40
65D3-10.34
66D3-10.55
67D3-11.09
68AA-11.14
69AA-12.26
How Accurate + How Does It Work?

What the number means

A team’s IPI is its strength in goals against an average Division I team. A team at +2.0 would be expected to beat an average D1 team by about two goals; a team at −3.0 would be expected to lose to one by three. Two teams’ numbers read straight across: a +1.5 team against a −0.5 team is a two-goal favourite, which in college inline hockey means it wins about three times out of four.

How it works, in plain English

Every game of the season is one piece of evidence: the home team’s rating minus the away team’s should equal the goal margin. The model finds the one set of ratings that fits all of those games at once, as closely as possible. That is the whole idea. A few details make it work in practice:

How accurate is it?

We test it the honest way: replaying each season in order. Before every event day, the model is fitted on the games played so far and picks that day’s winners; then, fitted on the whole regular season, it picks the Nationals winners. Over 8 seasons (2018-2019 to 2026-2027) it has picked right in 77.4% of regular-season games and 68.0% at Nationals. The table compares it with the other rankings we built and tested on the same games. Log loss scores the win chances a model gives, not just its picks (lower is better).

RankingRegular seasonGamesNationalsGamesLog loss
InlineStats Power Index (IPI)77.4%389668.0%6650.485
Elo rating75.5%387068.0%6650.531
Tier-points matrix75.0%371166.4%664–
Just pick the better record72.7%374767.3%661–
Just pick the higher division69.4%140267.9%78–

This season (2022-2023): Tier-points matrix 76.7% · InlineStats Power Index (IPI) 78.3% · Elo rating 76.3% · at Nationals: Tier-points matrix 63.5% · InlineStats Power Index (IPI) 64.3% · Elo rating 64.3%.

Why it beats the other ways of ranking

Reading it well

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