Nicholls Colonels vs. Stephen F. Austin Lumberjacks (W)
Volume:
$16,307
Markets
Outcome
Chance %
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Liquidity
Volume
24h
7d
Open Interest
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Description
This event group covers a women's college basketball game between Nicholls Colonels and Stephen F. Austin Lumberjacks scheduled for February 21, 2026. Markets on Polymarket and Kalshi are tracking the binary outcome of which team wins the matchup.
Kalshi market contains a logical contradiction where both possible game outcomes (Stephen F. Austin wins OR Nicholls wins) are stated to resolve to Yes, making the market unresolvable and non-binary. Polymarket correctly implements a standard binary winner-take-all structure.
Hero Tip:
Avoid trading on Kalshi until the platform clarifies the resolution logic. The market as written is broken: it cannot distinguish between the two outcomes. Polymarket's market is tradeable and follows standard sports betting conventions.
Critical Divergence Points:
Polymarket: Standard binary sports market. Nicholls win resolves to Nicholls Colonels; SFA win resolves to Stephen F. Austin Lumberjacks. Postponements keep market open; full cancellations resolve 50-50. Quote: 'If the Nicholls Colonels win, the market will resolve to Nicholls Colonels. If the Stephen F. Austin Lumberjacks win, the market will resolve to Stephen F. Austin Lumberjacks.'
Kalshi: Logically contradictory. Both outcomes stated to resolve Yes: 'If Stephen F. Austin wins... resolves to Yes' AND 'If Nicholls St. wins... resolves to Yes.' This creates an unresolvable market with no No outcome path. Quote: 'If Stephen F. Austin wins... resolves to Yes. If Nicholls St. wins... 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.
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