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
| Rank | Team | ELO Rating | Games Played |
| 1 | Ohio State | 1712 | 16 |
| 2 | Wisconsin | 1663 | 18 |
| 3 | UConn | 1647 | 16 |
| 4 | Penn State | 1644 | 18 |
| 5 | Minnesota | 1599 | 16 |
| 6 | Northeastern | 1598 | 16 |
| 7 | Minnesota Duluth | 1597 | 16 |
| 8 | Princeton | 1588 | 13 |
| 9 | Clarkson | 1574 | 17 |
| 10 | Minnesota State | 1570 | 18 |
| 11 | Cornell | 1566 | 14 |
| 12 | Quinnipiac | 1564 | 18 |
| 13 | Mercyhurst | 1547 | 20 |
| 14 | Boston College | 1531 | 18 |
| 15 | Vermont | 1530 | 18 |
| 16 | Yale | 1530 | 14 |
| 17 | Colgate | 1523 | 18 |
| 18 | Holy Cross | 1521 | 18 |
| 19 | Saint Anselm | 1514 | 17 |
| 20 | Union | 1513 | 18 |
| 21 | St. Cloud State | 1505 | 18 |
| 22 | St. Lawrence | 1504 | 19 |
| 23 | Franklin Pierce | 1499 | 17 |
| 24 | Harvard | 1495 | 12 |
| 25 | New Hampshire | 1489 | 18 |
| 26 | St. Thomas | 1483 | 18 |
| 27 | RIT | 1481 | 20 |
| 28 | Brown | 1479 | 14 |
| 29 | Syracuse | 1466 | 20 |
| 30 | Maine | 1466 | 18 |
| 31 | Dartmouth | 1442 | 12 |
| 32 | Providence | 1439 | 17 |
| 33 | Bemidji State | 1437 | 16 |
| 34 | Stonehill | 1435 | 17 |
| 35 | Boston University | 1430 | 15 |
| 36 | Merrimack | 1429 | 16 |
| 37 | Assumption | 1426 | 18 |
| 38 | Post | 1420 | 17 |
| 39 | Lindenwood | 1408 | 20 |
| 40 | Robert Morris | 1404 | 20 |
| 41 | LIU | 1391 | 14 |
| 42 | RPI | 1384 | 19 |
| 43 | Sacred Heart | 1369 | 15 |
| 44 | Delaware | 1366 | 18 |
| 45 | Saint Michaels | 1326 | 13 |
St. Anselm vs. St Cloud State?
Why St. Anselm is ranked #19 (1514 ELO)
- 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)
- 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:
- 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