Washington Mystics @ Chicago Sky
WMAwayWashington Mystics55%
@CSHomeChicago Sky45%
Model PickWashington Mystics 55%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 1 qualitative
AI Summary grounded in real data · zero hallucination
We project a Washington Mystics victory with a 55% probability, though the edge against the market is uncalculated. The primary drivers supporting this pick are '공격 효율 ORtg / Offensive Rating (ORtg)' and '실책률 TO% / Turnover Rate (TOV%)'. However, a significant deficit in '시즌 폼(전적) / Season Form (record)' remains the critical swing risk that could derail this prediction.
Logistic-regression statistical model — predicts Washington Mystics 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 45% home win was derived
Home Advantage+2.5
Season Form (record)-6.7
Home/Away Split-0.7
Offensive Rating (ORtg)+2.5
Defensive Rating (DRtg)-4.7
Effective FG% (eFG%)-0.1
Turnover Rate (TOV%)+2
Baseline 50% → final home win44.7%
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 15-25 vs Away Washington Mystics 24-16 | ESPN WNBA |
| Home/Away Split | Home team's home record 10-10 · away team's away record 11-9 | ESPN WNBA |
| Offensive Rating (ORtg) | Home 94.5 vs Away 91.1 — points per 100 possessions (pace-adjusted true offense; higher is better) | ESPN WNBA |
| Defensive Rating (DRtg) | Home 97.7 vs Away 91.3 — points allowed per 100 possessions (lower is stronger defense) | ESPN WNBA |
| Effective FG% (eFG%) | Home 49.4% vs Away 49.6% — shooting efficiency weighting made threes 1.5x (pro shooting metric) | ESPN WNBA |
| Turnover Rate (TOV%) | Home 13.8% vs Away 16.5% — turnovers per 100 possessions (lower is better) | ESPN WNBA |
| Offensive Rebound % (OREB%) | Home 20.3% vs Away 28.6% — reclaiming missed shots (creates second-chance points) | ESPN WNBA |
| Pace (Tempo) | Home 91.8 vs Away 90.9 possessions/game — game speed (shared context for both teams, outcome-neutral) | ESPN WNBA |
Qualitative & folklore factors 1 factors · fully disclosed
Qualitative · Kate Martin Signs Developmental Deal
The Chicago Sky have signed Kate Martin to a player development contract, adding fresh depth and developmental upside to their roster.
Basis: LLM · news · Kate Martin joins Chicago Sky on a player developm
12 source headlines (auto-collected · basis disclosed)
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- Kate Martin joins Chicago Sky on a player development contract
- Chicago Sky Sign Kate Martin to Developmental Contract
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Frequently asked questions This game's prediction summary
Washington Mystics vs Chicago Sky — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Washington Mystics a 55% chance to win (Home 45% · Away 55%). WNBA · 2026-09-18 09:00 KST.
How was the 44.7% 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 44.7%. 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.