This event group covers the Texas A&M Aggies vs. LSU Tigers men's college basketball game scheduled for March 7, 2026 at 6:00 PM ET. Markets span moneyline (winner), point spread, and over/under total points across Kalshi and Polymarket platforms.
Over/Under threshold interpretation differs between platforms. Polymarket uses inclusive thresholds (e.g., 160+ for 159.5 line), while Kalshi uses exclusive thresholds (e.g., over 158.5 = 159+). This creates settlement misalignment at boundary scores.
Hero Tip:
Map each platform's threshold to the actual combined score required: Polymarket 159.5 line needs 160+; Polymarket 160.5 line needs 161+; Kalshi over 158.5 needs 159+. If you hold positions on both platforms at overlapping thresholds, calculate your net exposure at scores 159, 160, and 161 to identify hedge gaps.
Critical Divergence Points:
Polymarket: Three O/U markets with inclusive thresholds: O/U 159.5 resolves Over if combined score is 160 or more; O/U 158.5 resolves Over if combined score is 159 or more; O/U 160.5 resolves Over if combined score is 161 or more. Also includes moneyline (winner) and two spread markets (-3.5 and -2.5). Key Quote: 'This market will resolve to Over if the Texas A&M Aggies and LSU Tigers combine to score 160 or more points.'
Kalshi: Twelve separate over-total markets with exclusive thresholds ranging from 143.5 to 175.5 in 2.5-point increments. All resolve Yes if combined score exceeds the stated threshold (e.g., over 158.5 = 159+). No moneyline or spread markets listed. Key Quote: 'If Texas A&M and LSU collectively score over 158.5 total points in the Texas A&M at LSU men's college basketball game originally scheduled for Mar 7, 2026, then the market resolves to Yes.'
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.
Follow the signals, not the noise
Get insights on market conviction, notable shifts, and what the data is quietly signaling.