Michigan Senate Prediction Odds Engine Live Bayesian Model

Polymarket baseline trajectory: Abdul El-Sayed (D) vs. Mike Rogers (R)
Model Inputs & Likelihoods Math.js Driven
Baseline Odds P(Democrat Win) 60.0%
Rogers (GOP) baseline implied odds: 40.0%
Signal Likelihood P(Signal | Dem Win) 0.70
Probability of observing this polling/turnout shift under a Dem victory.
Signal Likelihood P(Signal | Rep Win) 0.30
Probability of observing this polling/turnout shift under a Rep victory.
Detroit / Metro Turnout Multiplier 1.00x
Trading Execution & Hedging
Contract Entry Price (Dem Yes) $0.58
Capital Allocation ($) $1,000
Bayesian Probability Posterior Density Curve
Prior Dist
Updated Posterior
Bayesian Posterior P(El-Sayed)
70.0%
Bayesian Posterior P(Rogers)
30.0%
Expected Value (EV) per $100
+$20.69
Implied Return on Capital
+20.7%
Position Matrix & Arbitrage Hedging
Candidate / Contract Buy Price Posterior Odds Max Return Expected Profit
Abdul El-Sayed (YES) $0.58 70.0% +72.4% +$206.90
Mike Rogers (YES) $0.42 30.0% +138.1% -$285.71
Initializing prediction model summary...
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