Felipe Bunes vs Édgar Cháirez — By The Numbers
Model Pick: Felipe Bunes (51% confidence via Decision)
Method Probabilities
- KO/TKO: 18%
- Submission: 26%
- Decision: 56%
Statistical Edge
Both fighters bring contrasting skill sets into this matchup. Our 57-module AI engine has analyzed hundreds of data points to produce this breakdown.
The Verdict
Based on comprehensive statistical modeling, Felipe Bunes holds the edge in this matchup.
Weighted specialist opinions favor Felipe: the highest-weighted specialist (Striking Coach) plus Grappling and market inputs produce a clear weighted plurality. Method signals conflict (KO vs Submission vs Decision), and both fighters carry injury flags, reducing confidence. Market implies 70.7% for Felipe but the hurdle rate requires 76% to justify a pure favorite play; our final confidence falls short. Given weighted evidence and risk controls, Felipe is still the projected winner but with limited edge.
Analysis powered by The Blueprint MMA War Room Committee Engine
War Room Committee_
War Room Committee Verdict [LOCKED]
You've read the analysis. The War Room Committee's call (winner, method, confidence) is locked behind Sharp.
- Overall accuracy70%· 96 fights
- Calibration gradeC· brier 0.232
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Frequently Asked Questions
Who won Felipe Bunes vs Édgar Cháirez?
Edgar Chairez won. Blueprint MMA's pre-fight pick was Felipe Bunes.
Who wins Felipe Bunes vs Édgar Cháirez?
Blueprint MMA's War Room Committee picks Felipe Bunes with a 51% win probability.
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.
Methodology and Attribution
Author: War Room Committee Desk
Reviewer: Blueprint MMA Research Desk