Angela Hill vs Jingnan Xiong, UFC Fight Night: Song vs. Figueiredo prediction and deep analysis
Angela Hill/Jingnan Xiong
Winner Committee
Thirty-three specialists answer distinct winner-only questions. Eligible evidence is renormalized only inside its original lane.
Fight-State Projection
These are distributions of eligible committee signal mass—not invented percentages of fight time.
Conditional Method Model
Each row is conditional on that fighter already winning; every fighter row sums to 100%.
Conditional Round Model
Round-event mass is derived from survival-conditioned hazards. The final scheduled round is absorbing.
Probability Reconciliation
The exact-outcome grid preserves both winner marginals and sums to 100%. Decision branches have no round.
Output Selection
The winner and every outcome label come from one immutable reconciled distribution. Oversight may widen uncertainty, never move the point forecast.
Key Takeaways
- The War Room Committee picks Jingnan Xiong (68% win probability).
- Angela Patrice Hill path. "Volume outpointing": Establish jab rhythm early to set pace
- Jingnan Xiong path. "Compressed power exchanges": Cut cage to collapse Hill's operating space
- Risk: Weight-cut failure
- Risk: Volume-to-damage conversion
Frequently Asked Questions
Who won Angela Hill vs Jingnan Xiong?
Angela Hill won. Blueprint MMA's pre-fight pick was Jingnan Xiong.
Who wins Angela Hill vs Jingnan Xiong?
Blueprint MMA's War Room Committee picks Jingnan Xiong with a 68% win probability.
What could change the outcome of Angela Hill vs Jingnan Xiong?
Weight-cut failure: Xiong's contested weight-cut history raises strawweight sustainability questions that could compound the layoff rust. Volume-to-damage conversion: Hill's decision-heavy record suggests she may accumulate strikes without altering Xiong's defensive geometry. Statistical opacity reversal: Xiong's null output data could hide either sharp decline or preserved elite form, creating asymmetric information.
How does Blueprint MMA make this prediction?
Blueprint MMA validates and freezes the fight data, then runs 68 Kimi K2.6 agent executions: 33 Winner, 10 Method, 20 Timing, and 5 non-voting Oversight. Kimi K2.6 is the only inference model; LangGraph only orchestrates stage order and state. Winner agents fix the point probability first, Method and Timing agents fill conditional branches without reopening it, and Oversight audits without voting. The public probability is held to a sane 5-95% range and logged before release. Published winner probabilities are AI-only. Market prices may be shown for benchmarking, CLV, and workflow context, but they do not select, rank, or alter the published forecast. If the direct pipeline cannot return a valid read, the forecast is held. Methodology is documented at https://blueprintmma.com/manifesto and accuracy is tracked publicly at https://blueprintmma.com/track-record.