Prediction Market Probability Trajectory Analyzer WI Gubernatorial Primary

Bayesian update model, log-odds trajectories, & market liquidity slippage simulator

Win Likelihood Trajectory & Log-Odds Shift
Favored Candidate
D. Crowley
99.0% Win Prob
Implied Share Price
$0.99
$0.99 / $0.01 payout
Log-Odds Shift
+2.19 nats
From 50.0% baseline
Reporting Status
98.5%
Est. 125,000 votes
Polymarket Milestone Proof: David Crowley shifted from 50.0% baseline to 72.0% at poll close, then surged to 99.0% (+2.19 nats log-odds shift) as Wisconsin election returns finalized.
Bayesian Model & Liquidity Sandbox
Votes Reported (% Tally) 98.5%
Candidate A Margin Lead (%) +14.2%
Model Sample Confidence ($\sigma$) High (0.85)
Simulate Market Buy Order ($) $25,000
ORDER BOOK LIQUIDITY SLIPPAGE Slippage: +1.2% ($0.990 → $0.998)
YES Depth
NO Depth
Log-Odds equation: $\text{Nat Shift} = \ln\left(\frac{P_t}{1-P_t}\right) - \ln\left(\frac{P_0}{1-P_0}\right)$. High confidence at >90% reporting rapidly converges probability to outcome boundary.
Election Night Trajectory Milestones Audit Log
Reporting % David Crowley Prob Francesca Hong Prob Implied Share Price Log-Odds (Nats) Bayesian Event Phase
Enjoy this tool? Build your own with Super