Toronto Tempo @ Chicago Sky
TTAwayToronto Tempo37%
@CSHomeChicago Sky63%
Model PickChicago Sky 63%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 2 qualitative
AI Summary grounded in real data · zero hallucination
We favor the Chicago Sky, driven primarily by their Home/Away Split and Defensive Rating (DRtg) advantages. While Toronto Tempo’s 11-game road losing streak is a significant factor, our model does not consistently beat the market over the long term.
Logistic-regression statistical model — predicts Toronto Tempo vs Chicago Sky 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 63% home win was derived
Home Advantage+2.5
Season Form (record)+2.8
Home/Away Split+4.1
Offensive Rating (ORtg)-0.3
Defensive Rating (DRtg)+3.7
Effective FG% (eFG%)-0.8
Turnover Rate (TOV%)+0.9
Baseline 50% → final home win63%
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 | Chicago Sky at home — WNBA home-field edge applied | ESPN WNBA |
| Season Form (record) | Home Chicago Sky 15-27 vs Away Toronto Tempo 11-31 | ESPN WNBA |
| Home/Away Split | Home team's home record 10-11 · away team's away record 4-16 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 94.7 vs Away 95.1 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 99.3 vs Away 104.5 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 49.2% vs Away 50.8% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 14% vs Away 15.4% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 20.1% vs Away 22.5% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 91.2 vs Away 90.2 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors 2 factors · fully disclosed
Qualitative · Tempo's 11-Game Road Skid
The Toronto Tempo enter the matchup mired in a dismal 11-game losing streak on the road, highlighting their severe travel struggles.
Basis: LLM · news · Toronto faces Chicago on 11-game road slide
Qualitative · Sky's Five-Game Losing Streak
The Chicago Sky are struggling to find their rhythm, having dropped five consecutive games including a blowout loss to the Atlanta Dream.
Basis: LLM · news · Chicago Sky lose 5th straight
12 source headlines (auto-collected · basis disclosed)
- Toronto Tempo @ Chicago Sky: Live game updates, stats, play-by-play
- Game Highlights: Chicago Sky vs. Atlanta Dream (9/19/26)
- Toronto faces Chicago on 11-game road slide
- Chicago Sky lose 5th straight, done in by Angel Reese’s 31st double-double in Atlanta Dream’s 106-81 win
- Breanna Stewart has 27 to move into 8th on WNBA scoring list as Liberty beat Tempo 106-69
- 10 WNBA trade candidates (Skylar Diggins!) ahead of the 2026 deadline
- How to watch Fever vs. Tempo WNBA basketball for free today
- Top Tempo vs. Sky Players to Watch - Sept. 22
Frequently asked questions This game's prediction summary
Toronto Tempo vs Chicago Sky — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Chicago Sky a 63% chance to win (Home 63% · Away 37%). WNBA · 2026-09-23 09:00 KST.
How was the 63% 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 63%. 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.