Autonomous CLOB Mispricing Resolver
reliever fatigue telemetry & orderbook pricing latency
Published: 2026-08-16 | Project: Bet Bodhi | Discipline: Quantitative Engineering & Microstructure
Author: Nicholas Alexander MacAskill — Founder & CTO, Flocano Labs | Canonical: https://www.nicholasmacaskill.com/dossier/bodhi-clob-mispricing-resolver
1. The Microstructure Inefficiency in Binary Sports Markets
Prediction market orderbooks (such as Polymarket's Central Limit Order Book) are fundamentally retail-driven. While traditional sportsbooks adjust odds dynamically as lineups change, Web3 prediction markets exhibit significant pricing latency—particularly around in-game degradation variables like bullpen exhaustion.
Retail traders predominantly price baseball moneylines based on the Starting Pitcher's surface ERA and season win-loss records. However, starters rarely pitch past the 5th inning in modern baseball. When a bullpen has thrown 120+ pitches across the previous 48 hours or high-leverage closers are unavailable, the true win probability of the favorite plummets—yet Polymarket crowd share prices remain anchored to opening lines.
2. The 5-Pillar Quantitative Synthesis Engine
The Autonomous CLOB Mispricing Resolver ingests and synthesizes five real-time telemetry streams before the market can recalibrate:
1. Reliever Exhaustion Index (72h Pitch Telemetry): Continuously tracks pitch counts, back-to-back appearances, and closer availability across the entire bullpen depth chart. 2. Platoon Matchup Vulnerabilities: Maps left-handed and right-handed batter splits against the specific pitch mix (slider/sweeper/fastball velocity) of incoming relievers. 3. Atmospheric & Stadium Vectors: Ingests live barometric pressure, temperature, and wind velocity vectors (e.g. wind blowing out to right field boosting home run probability at specific launch angles). 4. Composite Starter ERA: Applies a weighted blend of spring training baseline, rolling season ERA, and strikeout-to-walk ratios (K/BB). 5. Live Orderbook Spread Matching: Calculates the exact bid/ask depth on Polymarket's CLOB via EIP-712 token identifiers to ensure trades are filled with minimal slippage.
3. Empirical Accuracy Scaling (20.0% → 35.4%)
By filtering out noisy prop bets and focusing strictly on high-conviction moneyline mispricings, the system demonstrated a monotonic climb in accuracy across 365 on-chain resolved games:
| Execution Phase | Sample Size | Win Rate |
|---|---|---|
| Early Unfiltered Scans | 50 games | 20.0% |
| Reliever Load Tracking | 150 games | 28.7% |
| 5-Pillar Engine Active | 300 games | 30.0% |
| Recent Golden Sniper Tier | Last 65 games | 35.4% |
Because the engine targets asymmetric underdog odds on Polymarket (e.g. purchasing contracts at 0.25–0.40 that resolve to 1.00), a 35.4% win rate generates substantial positive mathematical expectancy—producing +546 in net realized profit across $17,947 in traded volume.