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Phoenix Mercury @ Chicago Sky

WNBA · 2026-08-04 10:00 KST · Scheduled
PMAwayPhoenix Mercury44%
@
CSHomeChicago Sky56%
Model PickChicago Sky 56%Market edge — disclosed after closing odds are collectedEvidence 9 structured · 4 qualitative
AI Summary grounded in real data · zero hallucination

Our model projects a 56% win probability for the Chicago Sky, giving them an edge over the Phoenix Mercury (44%). Key drivers for this projection are 'Defensive Rating (DRtg)' and 'Home Advantage,' while 'Offensive Rating (ORtg)' works against the Sky. The market edge for this game is currently uncalculated.

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Logistic-regression statistical model — predicts Phoenix Mercury 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 56% home win was derived
Home Advantage+2.5
Season Form (record)+0.4
Home/Away Split+1.5
Offensive Rating (ORtg)-0.4
Defensive Rating (DRtg)+1.7
Effective FG% (eFG%)-0.3
Turnover Rate (TOV%)+0.9
Baseline 50% → final home win56.3%
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
MetricAnalysis (home vs away)Source
Home AdvantageChicago Sky at home — WNBA home-field edge appliedESPN WNBA
Season Form (record)Home Chicago Sky 11-18 vs Away Phoenix Mercury 11-19ESPN WNBA
Home/Away SplitHome team's home record 7-7 · away team's away record 6-9ESPN WNBA
Offensive Rating (ORtg)Home 93.6 vs Away 94.2 — points per 100 possessions (pace-adjusted true offense; higher is better)ESPN WNBA
Defensive Rating (DRtg)Home 95.6 vs Away 97.9 — points allowed per 100 possessions (lower is stronger defense)ESPN WNBA
Effective FG% (eFG%)Home 49.6% vs Away 50.2% — shooting efficiency weighting made threes 1.5x (pro shooting metric)ESPN WNBA
Turnover Rate (TOV%)Home 13.4% vs Away 14.6% — turnovers per 100 possessions (lower is better)ESPN WNBA
Offensive Rebound % (OREB%)Home 20.4% vs Away 19.4% — reclaiming missed shots (creates second-chance points)ESPN WNBA
Pace (Tempo)Home 93.6 vs Away 88.7 possessions/game — game speed (shared context for both teams, outcome-neutral)ESPN WNBA
Qualitative & folklore factors 4 factors · fully disclosed
Qualitative · Plum to Mercury
All-Star guard Kelsey Plum has joined the Phoenix Mercury in a blockbuster trade, significantly altering the team's roster and dynamics.
Basis: LLM · news · Kelsey Plum traded to the Phoenix Mercury
Qualitative · Morrow Traded from Sky
The Chicago Sky have traded Aneesah Morrow to Toronto, indicating a roster shake-up for the team.
Basis: LLM · news · Aneesah Morrow acquired by Toronto
Qualitative · Mercury's Long Road Trip
The Phoenix Mercury are embarking on their longest remaining road trip of the season, which could lead to increased player fatigue.
Basis: LLM · news · longest remaining road trip of season
Qualitative · Sky's Home Stand
The Chicago Sky are playing their third straight home game, which could provide a significant home-court advantage.
Basis: LLM · news · Third Straight Home Game
12 source headlines (auto-collected · basis disclosed)
  • Mercury 91-83 Sky (16 May, 2026) Final Score
  • Where to watch Phoenix Mercury vs Chicago Sky on Aug. 3: TV channel, start time and streaming
  • Phoenix Mercury @ Chicago Sky: Live game updates, stats, play-by-play
  • WNBA trade deadline: Kelsey Plum traded to the Phoenix Mercury, and Aneesah Morrow acquired by Toronto
  • WNBA gameday discussion: Why trade rumors will overshadow the on-court action for the Chicago Sky and New York Liberty
  • Phoenix Mercury @ Chicago Sky Odds
  • New York Liberty vs Phoenix Mercury Live Stream: How To Watch WNBA
  • Mercury vs. Sky Time, TV & Stream – Aug. 3
Frequently asked questions This game's prediction summary
Phoenix Mercury vs Chicago Sky — who's more likely to win?
SealedSlate's logistic-regression statistical model gives Chicago Sky a 56% chance to win (Home 56% · Away 44%). WNBA · 2026-08-04 10:00 KST.
How was the 56.3% 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 56.3%. 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.