Portland Fire @ Los Angeles Sparks
PFAwayPortland Fire49%
@LASHomeLos Angeles Sparks51%
Model PickLos Angeles Sparks 51%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 2 qualitative
AI Summary grounded in real data · zero hallucination
We project a slight edge for the Los Angeles Sparks, driven primarily by Home Advantage and Offensive Rating (ORtg). However, the defensive vulnerability indicated by Defensive Rating (DRtg) remains a key risk, and our model does not consistently beat the market long-term.
Logistic-regression statistical model — predicts Portland Fire vs Los Angeles Sparks 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)-0.5
Home/Away Split-0.5
Offensive Rating (ORtg)+2.5
Defensive Rating (DRtg)-2.7
Effective FG% (eFG%)-0.1
Turnover Rate (TOV%)-0.5
Baseline 50% → final home win50.9%
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 | Los Angeles Sparks at home — WNBA home-field edge applied | ESPN WNBA |
| Season Form (record) | Home Los Angeles Sparks 15-26 vs Away Portland Fire 16-26 | ESPN WNBA |
| Home/Away Split | Home team's home record 7-13 · away team's away record 8-13 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 96.5 vs Away 93.1 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 101.8 vs Away 98.2 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 52.5% vs Away 52.6% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 16% vs Away 15.4% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 20% vs Away 21.3% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 90.3 vs Away 92.6 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors 2 factors · fully disclosed
Qualitative · Lisa Leslie Statue Unveiling Motivation
The Sparks will have extra motivation at home as the franchise prepares to unveil a statue of legend Lisa Leslie, creating an emotionally charged atmosphere.
Basis: LLM · news · Sparks face Fire at home as Lisa Leslie statue is
Qualitative · Fire Facing Rest Disadvantage
The Portland Fire enter this matchup on short rest after playing the Golden State Valkyries on September 18, potentially facing fatigue on the road.
Basis: LLM · news · Game Recap: Golden State Valkyries 82, Portland Fi
12 source headlines (auto-collected · basis disclosed)
- Dallas Wings Top Plays vs. Los Angeles Sparks
- Portland Fire @ Los Angeles Sparks: Live game updates, stats, play-by-play
- Sparks face Fire at home as Lisa Leslie statue is ready to be unveiled
- Los Angeles Sparks vs Dallas Wings Sep 17, 2026 Game Summary
- Game Highlights: Phoenix Mercury vs. Portland Fire (9/17/26)
- Game Recap: Dallas Wings 97, Los Angeles Sparks 77 (09/17/2026)
- Wings Back in Action Thursday Night Hosting Sparks
- Los Angeles Sparks vs Dallas Wings Sep 17, 2026 Play-by-Play
Frequently asked questions This game's prediction summary
Portland Fire vs Los Angeles Sparks — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Los Angeles Sparks a 51% chance to win (Home 51% · Away 49%). WNBA · 2026-09-21 08:00 KST.
How was the 50.9% 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 50.9%. 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.