Elena Rybakina at Alexandra Eala: Elena Rybakina -5 (-110) lost — WTA AI Pick Recap

Recap of our WTA AI spread pick on Elena Rybakina at Alexandra Eala. The play (Elena Rybakina -5 at -110, 58/10 confidence) lost.

Why we made this WTA spread pick

[LEAN] Forge (Scout·Sharp·Model): Scout 75% strong on matchup/injury read + Sharp 65% confirmed. Despite a 2-1 agent split in favor of the underdog, we are siding with the Quant model's pick of Elena Rybakina -5. This decision is driven by the strongest predictive signal available: the PINNACLE FAIR line, which shows a +2.8% edge for Rybakina at the current price. The agents backing Alexandra Eala +5 noted a negative EV SIGNAL (-5.8%) for their own pick, weakening their consensus. Due to the significant agent disagreement and low DATA_CONFIDENCE, the stake is minimal. [SIGNALS FIRED] 2 pattern(s), 1 cluster(s) → deterministic confidence 53 (PASS, expected ROI -10.1%): • ENSEMBLE_SPLIT — 47.2% WR (n≈500): Model disagreement means the edge is less stable than it first appears • DATA_CONFIDENCE_LOW — 47.0% WR (n≈800): Missing data lowers certainty; keep confidence capped [RISK] YELLOW: Mean historical WR 47.1% ≤ implied 52.4% — thin edge vs price

How the Elena Rybakina vs Alexandra Eala pick lost

Final: Elena Rybakina 9 @ Alexandra Eala 13 · margin -4 vs -5