King Green vs Daniel Zellhuber — By The Numbers
Model Pick: King Green (51% confidence via Decision)
Method Probabilities
- KO/TKO: 29%
- Submission: 26%
- Decision: 45%
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, King Green holds the edge in this matchup.
Weighted specialist evidence favors King Green: the Striking Coach (highest multiplier) and Grappling Specialist both favor him, and market/ensemble models modestly favor him as well. Daniel's tape-analyst concerns about decay and entropy are material but not enough in weighted terms to flip the portfolio. Methods are mixed (KO and Submission signals plus Decision probability), injuries on both sides lower data quality and reduce edge. Given the ceiling constraints and penalties, the synthesis supports King Green by decision/late outcome 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 King Green vs Daniel Zellhuber?
Daniel Zellhuber won. Blueprint MMA's pre-fight pick was King Green.
Who wins King Green vs Daniel Zellhuber?
Blueprint MMA's War Room Committee picks King Green 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