Connecticut Sun @ Indiana Fever
CSAwayConnecticut Sun22%
@IFHomeIndiana Fever78%
Model PickIndiana Fever 78%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 2 qualitative
The model favors Indiana Fever at 78% — a clear favorite. The main drivers are Season Form (record), Home/Away Split.
Logistic-regression statistical model — predicts Connecticut Sun vs Indiana Fever by accumulating the log-odds contributions of 9 proven structured metrics. Only structured metrics enter the probability; qualitative and folklore factors get a label only. Predictions are sealed with SHA-256 before the game.
Model factor contribution How the 78% home win was derived
Home Advantage+2.5
Season Form (record)+10.1
Home/Away Split+5.6
Offensive Rating (ORtg)+5.1
Defensive Rating (DRtg)+1.9
Effective FG% (eFG%)+2.7
Turnover Rate (TOV%)+0.4
Baseline 50% → final home win78.3%
Each factor's log-odds contribution accumulated · only structured metrics reflected (qualitative/folklore excluded) · each %p converts log-odds to probability, so it's non-linear — a simple sum may not exactly equal (final − baseline)
Structured metric analysis 9 metrics · fully disclosed
| Metric | Analysis (home vs away) | Source |
|---|---|---|
| Home Advantage | Indiana Fever at home — WNBA home-field edge applied | ESPN WNBA |
| Season Form (record) | Home Indiana Fever 16-10 vs Away Connecticut Sun 7-19 | ESPN WNBA |
| Home/Away Split | Home team's home record 10-5 · away team's away record 3-9 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 97.4 vs Away 89 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 92.4 vs Away 95.8 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 54.8% vs Away 47.3% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 14.9% vs Away 15.6% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 23.3% vs Away 25.2% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 97 vs Away 89.5 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors 2 factors · fully disclosed
Qualitative · Clark's Bench Frustration
Caitlin Clark's recent strong opposition to being benched in the 4th quarter against the Storm suggests potential controversy over her playing time and team strategy in the upcoming game.
Basis: LLM · news · Caitlin Clark Says She Strictly Opposed 4th Quarte
Qualitative · Sun's Recent Loss
The Connecticut Sun's recent loss to the Phoenix Mercury snapped their winning streak, potentially fueling their motivation to bounce back in the next game.
Basis: LLM · news · Game Recap: Phoenix Mercury 72, Connecticut Sun 63
12 source headlines (auto-collected · basis disclosed)
- Is Caitlin Clark playing? Fever vs Sun start time, how to watch
- How to watch Caitlin Clark, Indiana Fever vs New York on Saturday
- Fans React as Caitlin Clark Says She Strictly Opposed 4th Quarter Benching vs Storm
- Indiana Fever schedule: When does Caitlin Clark play again?
- Sun vs. Fever (23 Jul, 2026) Pregame
- Game Recap: Phoenix Mercury 72, Connecticut Sun 63 (07/19/2026)
- Where to watch Indiana Fever vs New York Liberty, TV, streaming
- Connecticut Sun @ Indiana Fever Odds
Frequently asked questions This game's prediction summary
Connecticut Sun vs Indiana Fever — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Indiana Fever a 78% chance to win (Home 78% · Away 22%). WNBA · 2026-07-23 09:00 KST.
How was the 78.3% home-win probability calculated?
Starting from a 50% baseline, we additively accumulate the log-odds contributions of 9 proven structured statistical metrics to reach the final 78.3%. Each factor's %p contribution is fully disclosed on the page; qualitative and folklore factors are not reflected in the probability.
Can this prediction be altered later?
No. Every prediction is sealed with a SHA-256 hash before the game starts and permanently recorded in the track record, making after-the-fact changes impossible. SealedSlate runs a transparent ledger that never inflates the hit rate and leaves missed predictions exactly as they were.
We don't compete on hit rate — every factor is fully disclosed and labeled. Only 📊 structured stats feed the probability (each factor's contribution shown in %p); ⚔️🔮 are context to weigh. Predictions are locked and sealed before the game — verify the hits directly on the track record.