Phoenix Mercury @ Portland Fire
PMAwayPhoenix Mercury46%
@PFHomePortland Fire54%
Model PickPortland Fire 54%Market edge — disclosed after closing odds are collectedEvidence 9 structured
AI Summary grounded in real data · zero hallucination
We project Portland Fire as the pick with a 54% win probability, though the edge against the market is uncalculated. This prediction is primarily driven by 'Home Advantage (deltaPct 2.5)' and 'Season Form (record) (deltaPct 1.5)'. However, a key swing risk lies in 'Defensive Rating (DRtg) (deltaPct -0.6)', which could undermine their home court advantage.
Logistic-regression statistical model — predicts Phoenix Mercury vs Portland Fire 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 54% home win was derived
Home Advantage+2.5
Season Form (record)+1.5
Offensive Rating (ORtg)-0.4
Defensive Rating (DRtg)-0.6
Effective FG% (eFG%)+1.1
Turnover Rate (TOV%)-0.5
Baseline 50% → final home win53.5%
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 | Portland Fire at home — WNBA home-field edge applied | ESPN WNBA |
| Season Form (record) | Home Portland Fire 16-24 vs Away Phoenix Mercury 14-26 | ESPN WNBA |
| Home/Away Split | Home team's home record 8-12 · away team's away record 8-12 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 93.9 vs Away 94.4 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 98.7 vs Away 97.8 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 52.8% vs Away 50.5% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 15.3% vs Away 14.5% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 21.2% vs Away 18.9% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 92.2 vs Away 89.2 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors None
This game has no extracted qualitative factors — we don't invent factors without a basis.
12 source headlines (auto-collected · basis disclosed)
- Game Recap: Phoenix Mercury 101, Toronto Tempo 69 (08/29/2026)
- Carla Leite and Emily Engstler help Fire stop Dream's 4-game win streak with 101-83 victory
- 6 Portland Fire players to represent their countries at 2026 FIBA World Cup
- Phoenix Mercury enter FIBA World Cup break on a high note | The IX Basketball
- WNBA games schedule tonight? How to watch Liberty vs Sky, Mercury vs Tempo
- Portland Fire News: Corgi Races, a Win and a Loss, and a Big Two-Week Break
- Fire Fan Guide: September 2026
- Mercury destroy Tempo 101-69—FIBA World Cup puts WNBA season on hold
Frequently asked questions This game's prediction summary
Phoenix Mercury vs Portland Fire — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Portland Fire a 54% chance to win (Home 54% · Away 46%). WNBA · 2026-09-18 11:00 KST.
How was the 53.5% 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 53.5%. 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.