This event group covers the Auburn Tigers vs. Alabama Crimson Tide men's college basketball game scheduled for March 7, 2026 at 8:30 PM ET. Markets span moneyline (full game winner), spread betting (Alabama favored by 6.5 to 8.5 points), over/under totals (175.5 to 178.5 points), and a first-half winner market on Kalshi.
Kalshi's first-half winner market resolves on first-half regulation only and guarantees Yes regardless of outcome, while Polymarket's entire suite resolves on full-game final score including overtime. These are distinct event scopes.
Hero Tip:
Treat Kalshi's first-half market as a separate event from Polymarket's full-game markets. The Kalshi first-half market appears to be a guaranteed Yes payout (all three possible first-half outcomes trigger Yes), which may indicate a market design issue or a promotional structure. Confirm the market intent before deploying capital. Polymarket's moneyline, spreads, and totals are internally consistent and resolve on the same full-game final score.
Critical Divergence Points:
Kalshi: First-half winner market only. Resolves Yes if Alabama wins first half, if tie occurs in first half, or if Auburn wins first half. All three outcomes trigger Yes resolution. Scope: first half of regulation time only.
Polymarket: Full-game suite: moneyline (Auburn Tigers vs Alabama Crimson Tide), three spread variants (Alabama -8.5, -7.5, -6.5), and four over/under variants (175.5, 176.5, 177.5, 178.5 points). All resolve on final score including overtime. Scope: complete game from start to finish.
Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.
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