ChampsRankELO – ELO-Based Rating System

This is the first iteration of the ChampsRankELO ranking report. An explanation of the methodology can be found here.

Note: As we make tweaks and automate this ranking system, updates will be made throughout each game day. Hopefully, this will happen in the next week or two.

Click here to view our other ranking: ChampsRankSOS

ChampsRankELO: DI Women’s College Hockey

as of November 30, 2025

RankTeamELO RatingGames Played
1Ohio State171216
2Wisconsin166318
3UConn164716
4Penn State164418
5Minnesota159916
6Northeastern159816
7Minnesota Duluth159716
8Princeton158813
9Clarkson157417
10Minnesota State157018
11Cornell156614
12Quinnipiac156418
13Mercyhurst154720
14Boston College153118
15Vermont153018
16Yale153014
17Colgate152318
18Holy Cross152118
19Saint Anselm151417
20Union151318
21St. Cloud State150518
22St. Lawrence150419
23Franklin Pierce149917
24Harvard149512
25New Hampshire148918
26St. Thomas148318
27RIT148120
28Brown147914
29Syracuse146620
30Maine146618
31Dartmouth144212
32Providence143917
33Bemidji State143716
34Stonehill143517
35Boston University143015
36Merrimack142916
37Assumption142618
38Post142017
39Lindenwood140820
40Robert Morris140420
41LIU139114
42RPI138419
43Sacred Heart136915
44Delaware136618
45Saint Michaels132613

St. Anselm vs. St Cloud State?

Why St. Anselm is ranked #19 (1514 ELO)

  1. Win record: 11-6-0 (64.7%) vs St. Cloud State’s 6-11-1 (33.3%)
  • Nearly twice as many wins, which ELO rewards directly

2. Goal differential: +12 (+0.71/game) vs St. Cloud State’s -6 (-0.33/game)

  • Positive differential plus blowout wins (e.g., 8-2 vs LIU) boost ELO via the MOV multiplier

3. Weak schedule: Average opponent rating 1441.54

  • 108 ELO points weaker than St. Cloud State’s opponents
  • Easier wins, but sequential ELO compounds early wins

Why St. Cloud State is ranked #21 (1505 ELO)

  1. Losing record: 6-11-1 (33.3%)
  • Fewer wins despite playing stronger competition

2. Negative goal differential: -6 (-0.33/game)

  • Compounded by losses to strong teams

3. Strong schedule: Average opponent rating 1549.28

  • 108 ELO points stronger than St. Anselm’s opponents
  • Early losses to strong teams (UConn, Minnesota) deflated their rating early

The core problem: Sequential compounding

ELO processes games chronologically, so early results set the trajectory:

  • St. Anselm: Early wins against weak teams (starting at 1500) boosted their rating. Even after those teams’ ratings dropped, St. Anselm’s rating stayed higher, making later wins worth more.
  • St. Cloud State: Early losses to strong teams deflated their rating. Even after those teams’ ratings rose, St. Cloud State’s rating stayed lower, making later wins worth less.

The SOS adjustment (post-processing, multiplier 1.0) helps but can’t fully undo the 108-point schedule gap and the compounding effects. This is why ChampsRankSOS ranks St. Cloud State #9 vs St. Anselm #36 — the iterative approach accounts for schedule strength holistically.

ChampsRankELO vs. ChampsRankSOS:

  1. Consensus at the top: Both systems rank Ohio State #1 and Wisconsin #2, but ELO shows a larger gap (49.23 points vs 0.22 in ChampsRank1).

2. Major differences in middle rankings:

  • UConn: #3 in ELO vs #7 in ChampsRankSOS (ELO favors recent momentum)
  • St. Cloud State: #9 in ChampsRankSOS vs #21 in ELO (ChampsRankSOS better accounts for schedule strength)
  • Saint Anselm: #19 in ELO vs #36 in ChampsRank1 (17-rank difference – ELO influenced by early wins vs weak teams)

3 . Methodological differences:

  • ELO: Sequential processing captures momentum; recent games have immediate impact
  • ChampsRankSOS: Iterative approach provides a more holistic season evaluation
  • Both use 45-day time decay, but apply it differently

Got feedback on the ChampsRankELO model? Submit feedback here

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