Toronto Tempo @ Connecticut Sun
TTAwayToronto Tempo49%
@CSHomeConnecticut Sun51%
Model PickConnecticut Sun 51%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 1 qualitative
AI Summary grounded in real data · zero hallucination
We lean toward a Connecticut Sun victory, driven by the positive impact of Home Advantage and Home/Away Split on their defensive efficiency (DRtg). However, significant concerns regarding Offensive Rating (ORtg) and eFG% create volatility, and our model does not consistently beat the market long-term.
Logistic-regression statistical model — predicts Toronto Tempo vs Connecticut Sun 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 51% home win was derived
Home Advantage+2.5
Season Form (record)-0.7
Home/Away Split+2.1
Offensive Rating (ORtg)-6.2
Defensive Rating (DRtg)+5.3
Effective FG% (eFG%)-2.1
Turnover Rate (TOV%)+0.2
Baseline 50% → final home win51.1%
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 | Connecticut Sun at home — WNBA home-field edge applied | ESPN WNBA |
| Season Form (record) | Home Connecticut Sun 10-33 vs Away Toronto Tempo 11-32 | ESPN WNBA |
| Home/Away Split | Home team's home record 7-14 · away team's away record 4-17 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 86.2 vs Away 94.5 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 96.9 vs Away 104 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 46.6% vs Away 50.7% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 15.1% vs Away 15.4% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 22.9% vs Away 22.7% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 91 vs Away 90.7 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors 1 factors · fully disclosed
Qualitative · Final Home Game Farewell
The Sun are playing their final game in Connecticut before relocating to Houston. This emotional farewell at Mohegan Sun Arena, combined with Fan Appreciation Night, serves as a massive psychological motivator for the roster.
Basis: LLM · news · final game in state before relocation to Houston,
12 source headlines (auto-collected · basis disclosed)
- Toronto Tempo @ Connecticut Sun: Live game updates, stats, play-by-play
- Sun bid farewell to Connecticut against Tempo
- Tempo vs. Sun (Sep 24, 2026) Odds and Spread
- Toronto takes on Connecticut after Harrison's 21-point game
- Connecticut Sun to host Fan Appreciation Night for franchise’s final game at Mohegan Sun Arena
- Connecticut Sun to play final game in state before relocation to Houston
- One final game for Sun but we all got a chance to say goodbye
- Connecticut Sun vs. Toronto Tempo: Start Time, Streaming Live, TV Channel, How to Watch
Frequently asked questions This game's prediction summary
Toronto Tempo vs Connecticut Sun — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Connecticut Sun a 51% chance to win (Home 51% · Away 49%). WNBA · 2026-09-25 08:00 KST.
How was the 51.1% 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 51.1%. 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.