Categories
Women's College Hockey Women's Hockey

ChampsRankELO – Dec. 14, 2025

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

Note: In the next few days, the rankings will be updated automatically.

Click here to view our other Dec. 14th ranking: ChampsRankSOS

ChampsRankELO: DI Women’s College Hockey

as of December 14, 2025

RankTeamELO RatingGames Played
1Wisconsin170020
2Ohio State165118
3Penn State164018
4UConn162118
5Princeton162115
6Northeastern161619
7Minnesota160718
8Minnesota Duluth158918
9Quinnipiac157820
10Clarkson156519
11Minnesota State153820
12Mercyhurst153422
13Yale153016
14St. Cloud State152520
15Cornell151916
16Holy Cross151821
17Colgate151620
18Franklin Pierce151419
19St. Lawrence150521
20RIT150422
21Boston College150320
22Maine149420
23New Hampshire149121
24Vermont148920
25Robert Morris148824
26Brown148616
27Union148320
28Boston University148218
29Harvard148114
30Providence146519
31St. Thomas146120
32Stonehill145919
33Syracuse145822
34Saint Anselm145720
35Assumption145620
36RPI144921
37Dartmouth144316
38Lindenwood143222
39Bemidji State142618
40Merrimack140518
41LIU139818
42Post139520
43Sacred Heart135918
44Delaware135120
45Saint Michaels128316

ChampsRankELO Rankings Comparison: December 7 vs December 14, 2025

The ChampsRankELO rankings were stable in positions, with all top 10 teams holding their spots from December 7 to December 14. However, every team in the top 10 saw rating declines, reflecting the time-decay model’s gradual reduction of older game weights. Wisconsin remains #1 but dropped from 1718 to 1700.39 ELO points, while Ohio State held #2 but fell from 1664 to 1650.98. Penn State stayed at #3 (1646 → 1639.98), and the tight race between Princeton (#4, 1633 → 1621.01) and UConn (#5, 1632 → 1621.30) narrowed to 0.29 ELO points. The consistent downward trend across all teams suggests that the limited game activity between December 7–14 (only five games completed, none involving top-ranked teams) allowed the time-decay mechanism to reduce the weight of older results without new competitive outcomes to offset the decline.

The middle rankings (6–10) followed the same pattern, with Northeastern (#6, 1625 → 1616.07), Minnesota (#7, 1616 → 1607.47), Minnesota Duluth (#8, 1598 → 1589.43), Quinnipiac (#9, 1584 → 1578.41), and Clarkson (#10, 1569 → 1565.48) all experiencing modest rating decreases while maintaining their positions. The ELO system’s sequential processing and time-decay mechanism mean that without new games to process, teams’ ratings naturally decline as older games lose weight. This week’s sparse schedule, combined with the fact that the few games played (involving Dartmouth, Robert Morris, LIU, Saint Anselm, Saint Michaels, Brown, and Yale) didn’t involve any top-ranked teams, explains why the rankings remained static in terms of positions but showed uniform rating decreases across the board.

Got feedback on the ChampsRankELO model? Submit feedback here

Categories
2025 2026 Rankings Women's College Hockey Women's Hockey

ChampsRankSOS – Strength-of-Schedule Dec. 14, 2025

This is the third iteration of the ChampsRankSOS ranking report. An explanation of the methodology can be found here.

Click here to view our other ranking: ChampsRankELO Dec. 14, 2025

ChampsRankSOS (with Decay Rate): DI Women’s College Hockey

as of December 14, 2025

GD = Goal Differential vs. Opponent

SOS = Strength of Schedule Rating of Opponent

RankTeamRatingGDSOSGames Played
1Wisconsin20.003.816.220
2Ohio State19.232.316.918
3Minnesota18.451.916.518
4Penn State17.933.614.418
5Minnesota Duluth17.510.916.618
6St. Cloud State16.47-0.216.720
7Princeton16.471.315.115
8Northeastern16.361.514.919
9Minnesota State16.290.016.320
10Quinnipiac16.271.414.920
11UConn16.251.115.218
12St. Thomas15.75-1.016.720
13Cornell15.731.114.616
14Clarkson15.710.615.119
15Mercyhurst15.400.814.622
16Colgate15.28-0.315.620
17Yale15.130.514.616
18Boston College14.89-0.115.020
19RIT14.690.514.222
20St. Lawrence14.68-0.515.121
21Boston University14.67-0.615.318
22New Hampshire14.630.414.221
23Harvard14.530.514.014
24Brown14.520.114.416
25Holy Cross14.470.913.621
26Maine14.33-0.815.220
27Union14.210.214.020
28Vermont14.15-1.115.220
29Bemidji State14.12-2.516.618
30Providence14.04-0.814.919
31Robert Morris13.800.213.624
32Syracuse13.62-1.014.622
33Lindenwood13.58-0.914.522
34Dartmouth13.12-0.813.916
35RPI13.06-1.414.521
36Merrimack12.87-1.614.518
37Saint Anselm12.120.411.820
38Franklin Pierce11.990.911.119
39Stonehill11.55-0.111.719
40Assumption11.500.011.520
41Delaware11.36-3.014.320
42Sacred Heart10.92-0.711.618
43Post10.34-1.211.620
44LIU10.33-1.111.518
45Saint Michaels7.13-4.511.716

ChampsRankSOS Rankings Comparison: December 7 vs December 14, 2025

The ChampsRankSOS rankings were stable at the top, with the top five teams holding their positions and showing slight rating improvements. Wisconsin remains #1 at 20.00, followed by Ohio State (19.21 → 19.23), Minnesota (18.42 → 18.45), Penn State (17.89 → 17.93), and Minnesota Duluth (17.49 → 17.51). The limited movement reflects only five completed games between December 7–14. Those games involved lower-ranked teams (Dartmouth, Robert Morris, LIU, Saint Anselm, Saint Michaels, Brown, and Yale), so they had minimal impact on the top teams’ strength of schedule. The most notable change was in the 6–10 range, where St. Cloud State moved from #7 to #6 (16.44 → 16.47), while Princeton dropped from #6 to #7 (16.46 → 16.47), separated by 0.0008 rating points. Minnesota State entered the top 10, climbing from #11 to #9 (16.29), while UConn fell out of the top 10, dropping from #10 to likely #11 or lower. The time-decay model’s emphasis on recent results, combined with the sparse schedule, explains why the rankings stayed largely stable with only minor adjustments in the middle tier. The lack of games involving top-ranked teams meant their ratings were primarily affected by the gradual decay of older results rather than new competitive outcomes.

Got feedback on the ChampsRankSOS model? Submit feedback here

Categories
2025 2026 Rankings Women's College Hockey Women's Hockey

ChampsRankSOS – Strength-of-Schedule Dec. 7, 2025

This is the second iteration of the ChampsRankSOS ranking report. An explanation of the methodology can be found here. In the next few days, we will be publishing the rankings in real-time.

Given Wisconsin’s sweep this weekend, we have decided to only focus on the time-decay version of our Strength-of-Schedule model (using a 45-day decay rate).

Click here to view our other ranking: ChampsRankELO Dec. 7, 2025

ChampsRankSOS (with Decay Rate): DI Women’s College Hockey

as of December 7, 2025

GD = Goal Differential vs. Opponent

SOS = Strength of Schedule Rating of Opponent

RankTeamRatingGDSOSGames Played
1Wisconsin20.003.816.220
2Ohio State19.212.316.918
3Minnesota18.421.916.518
4Penn State17.893.614.318
5Minnesota Duluth17.490.916.518
6Princeton16.461.315.115
7St. Cloud State16.44-0.216.620
8Northeastern16.361.514.919
9Quinnipiac16.281.414.920
10UConn16.251.115.218
11Minnesota State16.230.016.320
12St. Thomas15.74-1.016.720
13Cornell15.711.114.616
14Clarkson15.690.615.119
15Mercyhurst15.370.814.622
16Colgate15.26-0.315.520
17Yale15.130.514.616
18Boston College14.91-0.115.120
19Boston University14.68-0.615.318
20St. Lawrence14.65-0.515.121
21New Hampshire14.650.414.321
22RIT14.650.514.222
23Harvard14.510.514.014
24Brown14.500.114.416
25Holy Cross14.500.913.621
26Maine14.35-0.815.220
27Union14.210.214.020
28Vermont14.19-1.115.320
29Bemidji State14.08-2.516.518
30Providence14.04-0.814.919
31Robert Morris13.60-0.514.122
32Syracuse13.59-1.014.622
33Lindenwood13.53-0.914.522
34RPI13.02-1.414.421
35Merrimack12.89-1.614.518
36Dartmouth12.87-2.014.914
37Saint Anselm12.460.611.919
38Franklin Pierce12.270.911.419
39Stonehill11.81-0.111.919
40Assumption11.730.011.720
41Delaware11.35-3.014.320
42Sacred Heart11.17-0.711.918
43LIU10.83-0.411.216
44Post10.61-1.211.820
45Saint Michaels7.52-4.211.715

The main change is a flip at the top.

On Nov 30, Ohio State was #1 (20.00) and Wisconsin #2 (19.78). On Dec 7, Wisconsin is #1 (20.00) and Ohio State #2 (19.21). Wisconsin’s 6-1 win over Ohio State on Dec 6, weighted heavily by the decay model, likely drove the change. Wisconsin beat Ohio State in both their meetings this past weekend.

Other Dec 5–6 results affected the rankings. In ECAC, Princeton beat Colgate 6-1, Quinnipiac won 3-0 at Cornell, RPI won 3-1 at Dartmouth, Harvard beat Union 4-2, and Yale won 3-2 at Brown. In Hockey East, Northeastern won 3-1 at Boston College, Maine won 4-3 in OT at New Hampshire, and Holy Cross won 2-0 at Vermont. These outcomes, especially the Wisconsin–Ohio State result, shifted ratings in the decay model.

Rating adjustments in the top 5

Minnesota remains #3 but dropped from 18.71 to 18.42. Penn State stays #4, down from 18.15 to 17.89. Minnesota Duluth remains #5, up from 17.76 to 17.49. The decay model’s emphasis on recent results, combined with Wisconsin’s strong recent form, explains the shift at the top.

Got feedback on the ChampsRankSOS model? Submit feedback here

Categories
Women's College Hockey Women's Hockey

ChampsRankELO – Dec. 7, 2025

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

Note: In the next few days, the rankings will be updated automatically.

Click here to view our other ranking: ChampsRankSOS

ChampsRankELO: DI Women’s College Hockey

as of December 7, 2025

RankTeamELO RatingGames Played
1Wisconsin171820
2Ohio State166418
3Penn State164618
4Princeton163315
5UConn163218
6Northeastern162519
7Minnesota161618
8Minnesota Duluth159818
9Quinnipiac158420
10Clarkson156919
11Minnesota State153720
12Mercyhurst153122
13St. Cloud State153020
14Yale152516
15Franklin Pierce152519
16Colgate151620
17Cornell151516
18Holy Cross151421
19St. Lawrence150421
20Boston College150420
21Maine149620
22RIT149622
23Vermont149020
24Saint Anselm148919
25New Hampshire148921
26Boston University148318
27Brown148016
28Union148020
29Harvard147414
30Stonehill146519
31Providence146419
32St. Thomas145820
33Assumption145620
34Syracuse145022
35Robert Morris144122
36RPI143921
37LIU143516
38Lindenwood142322
39Bemidji State141618
40Dartmouth140314
41Merrimack139718
42Post139420
43Sacred Heart135618
44Delaware133820
45Saint Michaels129815

The top two flipped

On Nov 30, Ohio State was #1 (1712) and Wisconsin #2 (1663). On Dec 7, Wisconsin is #1 (1718.14) and Ohio State #2 (1663.97). Wisconsin’s 6-1 win at Ohio State on Dec 6 drove the change, boosting Wisconsin by ~55 points and dropping Ohio State by ~48.

Weekend results impact

Other Dec 5–6 results shifted rankings. Princeton moved from #8 (1588) to #4 (1631.55) after a 6-1 win at Colgate and a 3-2 win at Cornell. UConn dropped from #3 (1647) to #5 (1630.92) after a 1-1 OT tie with Boston University and a 3-2 loss at Boston University. Penn State moved from #4 (1644) to #3 (1645.64) with steady results. Minnesota dropped from #5 (1599) to #7 (1616.00) despite a 4-1 win over St. Thomas, as other teams gained more from their results.

Notable movements in the middle rankings

Northeastern moved from #6 (1598) to #6 (1625) after a 3-1 win at Boston College. Minnesota Duluth moved from #7 (1597) to #8 (1597.5) after a 4-0 win at Bemidji State. The ELO system’s sequential processing and margin-of-victory adjustments explain these shifts, with Wisconsin’s decisive win having the largest impact.

Got feedback on the ChampsRankELO model? Submit feedback here

Categories
Rankings Women's College Hockey Women's Hockey

Introducing Two New ChampsRank Models for DI Women’s Hockey

To complement the existing subjective polls and the NCAA’s NPI system, we’ve developed two fully objective ranking models built on modern analytics:

  1. ChampsRankSOS – Strength-of-Schedule Model
  2. ChampsRankELO – ELO-Based Rating System

Here are the first two iterations of the models as of games completed on November 30th, 2025:

ChampsRankSOS – Strength-of-Schedule Model

ChampsRankELO – ELO-Based Rating System

Here are the rankings from Dec. 7, 2025

ChampsRankSOS – Strength-of-Schedule Dec. 7, 2025

ChampsRankELO – Dec. 7, 2025

Both models are designed to be transparent, data-driven, and updated within a few hours of each game, making them some of the fastest-refreshing public rankings available.

Our intent is to provide a clear, unbiased picture of team strength that reflects actual on-ice performance while avoiding the opacity and inertia that can affect human-voted polls.

ChampsRankSOS — Strength-of-Schedule Model

This system is structurally similar to MyHockeyRankings, but with important enhancements that make it better suited for college hockey.

Key Features

  • Strength-of-Schedule + margin of victory as core components
  • ±7 goal cap on margin of victory (Note: There was consideration for increasing/ignoring a cap, but after the recent 17-2 Wisconsin win over Stonehill the current cap would not let these kind of anomalies bias the data)
  • Full iterative recalculation of all ratings until stable
  • 45-day decay modelrecent games are weighted more heavily
    • Games older than 45 days typically represent 10+ games ago, meaning they don’t accurately reflect a team’s current form.
    • The decay ensures the rankings reward teams improving now, not teams who were hot months ago.
  • Updated within hours of each game

Core Formula

Rating = GD + SOS

  • GD: Average goal differential per game (capped at ±7)
  • SOS: Average opponent rating (recalculated iteratively)

How It Works

  1. Compute each team’s average goal differential
  2. Initialize ratings
  3. Iteratively recalculate: Rating = GD + SOS
  4. Anchor the top team at 20.0
  5. Recompute until convergence
  6. Apply time decay to down-weight older games

ChampsRankELO — ELO-Based Model

Our second system is a modernized hockey-specific ELO model. The ELO model is a rating system that evaluates team or player strength by updating ratings after every game based on the expected outcome versus the actual result. It rewards upsets, penalizes underperformance, and naturally adjusts as more games are played. Originally developed for chess, ELO has since become widely used in sports such as tennis, soccer, basketball, and esports due to its ability to track performance dynamically and objectively.

Key Features

  • Home-ice advantage bonus: +11 ELO points (based on historical win rates)
  • 45-day half-life time decay on older games
  • K-factor multipliers for early-season games, conference games, etc.
  • Margin-of-victory multiplier for blowout wins
  • Adjusts outcomes differently for regulation, OT, and shootout
  • Updated within hours of each game

Core Formula

R_new = R_old + K × MOV_multiplier × (S − E)

  • K: Sensitivity constant (base 32, with multipliers)
  • MOV: Margin of victory multiplier
  • S: Actual game outcome
  • E: Expected outcome (based on rating difference + home-ice advantage)

How It Works

  1. All teams begin at 1500 ELO
  2. Process games chronologically (one pass)
  3. For each game:
    • Compute expected outcome
    • Apply home-ice advantage
    • Update ratings using K-factor + MOV + decay
  4. No iteration required — ratings naturally evolve over time

Main Differences at a Glance

FeatureChampsRankSOSChampsRankELO
BasisGoal differentialWin/loss outcomes
ProcessingIterativeSequential (one pass)
Starting PointAGD-basedAll teams start at 1500
Top TeamFixed at 20.0Emerges naturally
Home AdvantageNot modeled+11 ELO points
Time DecayYes — 45-day decayYes — 45-day half-life
Categories
Women's College Hockey Women's Hockey

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

Categories
2025 2026 Rankings Women's College Hockey Women's Hockey

ChampsRankSOS – Strength-of-Schedule

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

We initially planned to publish only the time-decay version of our Strength-of-Schedule model (using a 45-day decay rate). However, the differences between the decay and no-decay versions were significant enough that it made sense to release both. This allows a clear comparison between a full-season evaluation and a ranking system that emphasizes recent performance — something both subjective polls and postseason selection committees tend to value. This weekend’s upcoming games between Wisconsin and Ohio State, might tell us which methodology makes more sense.

Click here to view our other ranking: ChampsRankELO

ChampsRankSOS with Decay Rate: DI Women’s College Hockey

as of November 30, 2025

GD = Goal Differential vs. Opponent

SOS = Strength of Schedule Rating of Opponent

RankTeamRatingGDSOSGames Played
1Ohio State20.003.4616.5416
2Wisconsin19.783.9615.8218
3Minnesota18.711.8216.8916
4Penn State18.153.5614.5818
5Minnesota Duluth17.760.3317.4416
6Minnesota State16.770.2416.5318
7UConn16.731.2115.5216
8Northeastern16.661.5815.0816
9St. Cloud State16.48-0.5317.0118
10Quinnipiac16.411.5014.9118
11Cornell16.351.7414.6114
12Princeton16.210.9415.2713
13Clarkson16.040.6015.4417
14St. Thomas15.94-0.6416.5818
15Colgate15.740.0415.7118
16Yale15.670.7414.9314
17Mercyhurst15.520.5414.9920
18Boston College15.220.2115.0118
19Harvard15.040.6814.3712
20RIT15.040.1014.9320
21St. Lawrence14.83-0.4515.2719
22New Hampshire14.750.5214.2318
23Holy Cross14.731.1413.5918
24Vermont14.72-1.0215.7418
25Union14.640.4114.2318
26Brown14.46-0.0114.4714
27Maine14.39-1.0715.4618
28Bemidji State14.36-2.2416.6016
29Boston University14.34-1.0215.3615
30Providence14.08-1.2115.3017
31Syracuse13.85-1.0614.9120
32Lindenwood13.77-0.7514.5320
33Robert Morris13.72-0.7114.4420
34Dartmouth13.33-2.2715.6112
35Merrimack13.08-1.7114.8016
36Saint Anselm13.010.9912.0217
37RPI12.84-2.0114.8519
38Franklin Pierce12.380.9211.4617
39Assumption11.74-0.3412.0918
40Stonehill11.67-1.2512.9217
41Sacred Heart11.65-0.6112.2615
42Delaware11.38-3.0714.4618
43Post11.12-1.2912.4117
44LIU10.66-0.9811.6414
45Saint Michaels8.24-3.7411.9713

ChampsRankSOS without Decay Rate (Full Season Rating): DI Women’s College Hockey

as of November 30, 2025

RankTeamRatingGDSOSGames Played
1Wisconsin20.004.0615.9418
2Ohio State19.813.2516.5616
3Minnesota19.142.2516.8916
4Penn State18.103.7214.3718
5Minnesota Duluth17.800.6317.1816
6St. Cloud State16.73-0.3317.0618
7Northeastern16.691.6915.0016
8Cornell16.662.0014.6614
9Quinnipiac16.651.8314.8218
10UConn16.621.0015.6216
11Minnesota State16.490.1116.3818
12Princeton16.050.7715.2913
13St. Thomas15.97-0.0616.0218
14Clarkson15.930.7615.1717
15Colgate15.790.0615.7418
16Yale15.710.7914.9214
17Mercyhurst15.530.3515.1820
18Boston College15.17-0.1115.2818
19RIT15.020.3514.6720
20Harvard14.980.5814.4012
21St. Lawrence14.89-0.4715.3719
22Vermont14.79-0.9415.7418
23New Hampshire14.780.6114.1618
24Bemidji State14.68-2.2516.9316
25Brown14.610.0714.5314
26Holy Cross14.571.1113.4618
27Union14.490.1714.3218
28Maine14.43-1.2215.6518
29Boston University14.40-1.2715.6615
30Providence13.99-1.4715.4617
31Syracuse13.78-1.1514.9320
32Lindenwood13.69-1.2014.8920
33Robert Morris13.62-0.7514.3720
34Dartmouth13.47-2.0015.4712
35Merrimack13.18-1.6314.8116
36RPI12.85-2.0014.8519
37Saint Anselm12.810.7112.1017
38Franklin Pierce12.320.4711.8517
39Sacred Heart11.77-0.3312.1015
40Assumption11.72-0.4412.1618
41Stonehill11.66-1.0612.7217
42Delaware11.35-3.0014.3618
43Post11.01-1.7612.7717
44LIU10.82-0.6411.4614
45Saint Michaels8.60-3.3811.9913

#1 Ranking Flip

When recent games are weighted more heavily, Ohio State takes over the top spot. Over the full season, Wisconsin remains #1.

• Without decay: Wisconsin #1 (20.00), Ohio State #2 (19.81)
• With decay: Ohio State #1 (20.00), Wisconsin #2 (19.78)

Why the flip occurs

Wisconsin: Goal differential drops from 4.06 → 3.96 due to early-season blowouts being de-weighted (e.g., 17–2 vs. Stonehill, 8–0 vs. Minnesota State).
Ohio State: Goal differential rises from 3.25 → 3.46, reflecting stronger recent games.
Game volume: Wisconsin has 18 games — more older results get discounted. Ohio State has 16 — more of their games retain full weight.
Decay math: Games older than ~60 days count at roughly 35% weight, boosting teams with stronger recent form.

Other Notable Shifts

Minnesota State: +5 spots (11 → 6) — largest improvement
Bemidji State: –4 spots (24 → 28) — largest decline
24 teams experienced movement between the two models

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Categories
College Hockey Recruiting Women's College Hockey Women's Hockey

Women’s DI Hockey Polls & Rankings: A Clearer Look

Over the past few weeks, I’ve grown increasingly frustrated with the two major weekly polls in women’s Division I college hockey. Because I track nearly all 45 DI teams closely, I have a pretty strong feel for each team’s true performance level. Yet after weekends filled with upsets or narrow wins over weaker opponents, I’m continually surprised by how certain teams — and some conferences — appear to be ranked higher than expected. While the NPI (see below for detailed explanation) is objective and used for at-large playoff selections, it also isn’t perfect.

As a result, I decided to apply my own analytics to create a new, objective Champs App ranking for DI women’s hockey. But before sharing that system, here’s a breakdown of the current major polls and ranking models.

🔢 Three Types of Ratings: Subjective vs. Objective

Women’s DI hockey currently uses three major rating systems, which fall into two categories:

  • Subjective (human-voted):
    • USCHO.com Poll
    • USA Hockey / AHCA Poll
  • Objective (mathematical):
    • NCAA Power Index (NPI) — now the official NCAA selection metric
    • PairWise Ranking (PWR) — the legacy system, replaced by NPI

Below is a clear summary of how each poll or model works.

1. USCHO.com Poll (Subjective)

The USCHO.com poll is a traditional, human-voted ranking composed of sportswriters, broadcasters, and coaches. Neither the list of voters nor their individual ballots are published.

PROS

Contextual Judgment

  • Captures elements no algorithm can quantify: the “eye test,” injuries, momentum, travel fatigue, and lineup changes.

Media Relevance

  • Drives debate, fan engagement, and weekly storylines.

Focus on Current Form

  • Voters can quickly adjust for hot streaks or slumps, sometimes more rapidly than data-based systems.

CONS

Lack of Transparency

  • No published criteria. Voters have full discretion, making results unpredictable and unauditable.

Inconsistency and Bias

  • Subject to inertia (teams maintaining rank despite bad losses) and regional bias. It’s not difficult to guess which conferences receive the benefit of the doubt.

Weak Tournament Predictor

  • Often diverges significantly from the objective NPI used to select NCAA tournament teams.

2. USA Hockey / AHCA Poll (Subjective)

This weekly poll is conducted by USA Hockey in partnership with the American Hockey Coaches Association (AHCA).

Methodology

  • Human-voted, similar to USCHO.
  • Voters include coaches and journalists from all NCAA women’s hockey conferences.
  • Rankings are based on total points from submitted ballots.

While it provides valuable insight from actual DI coaches, it shares the same challenges as USCHO:

  • Only 19 voters
  • No transparency into who they are or how they vote
  • Susceptible to the same regional biases and subjective inconsistencies

The coexistence of two separate human polls does help smooth out extreme opinions — and when they differ noticeably, it signals a lack of consensus that adds useful context that a single mathematical model cannot provide.

3. NCAA Power Index (NPI) and PairWise (PWR) (Objective)

The NCAA Power Index has fully replaced PairWise as the official NCAA tournament selection tool. NPI is a streamlined, strength-of-schedule-driven model that uses an opponent-based rating system and assigns bonuses for beating highly rated teams.

PROS

Pure Objectivity

  • Removes human bias. Rankings come directly from win percentage and opponent strength, based on a fully transparent formula.

Improved Strength-of-Schedule (SOS)

  • Uses opponents’ NPI ratings directly, replacing the more convoluted RPI components of the old PairWise system.

Rewards Quality Wins

  • Includes a Quality Win Bonus (QWB) for beating strong opponents — and importantly does not penalize teams for beating weaker opponents (a major flaw of old RPI).

CONS

No Contextual Adjustments

  • Ignores coaching changes, injuries, goalie slumps, or roster disruptions that human voters naturally account for.

Occasional Mathematical Oddities

  • Any complex model can produce counterintuitive outcomes in specific cases.

Self-Referencing Structure

  • Because a team’s NPI depends on opponents’ NPI — which depends on their opponents — the calculation must be iterated to find a stable solution.

NPI Statistical Engine (Simplified)

  • 25%: Win Percentage
  • 75%: Opponents’ NPI (Strength of Schedule)
  • Quality Win Bonus (QWB): Extra credit for beating high-NPI teams
  • Bad Win Treatment: Mechanisms to remove or neutralize extremely low-value wins
  • Strength-of-Schedule (SOS): Directly uses opponents’ final NPI rating for a cleaner, more intuitive strength measure

🔜 What’s Next

In the next post, I’ll introduce the Champs App proposal for two new objective ranking models:

  1. A simplified, transparent Strength-of-Schedule Index
  2. An ELO-based model similar to the systems used in chess and tennis

Both provide intuitive, statistically robust alternatives to today’s polls — without the subjectivity of human rankings.