Utah Tech Trailblazers vs. Utah Valley Wolverines (W)
Volume:
$4,180
Markets
Outcome
Chance %
Price
Liquidity
Volume
24h
7d
Open Interest
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Description
This event group covers a women's college basketball game between Utah Tech Trailblazers and Utah Valley Wolverines scheduled for March 7, 2026 at 3:00 PM ET. Markets across Polymarket and Kalshi are pricing the outcome of this matchup, with resolution tied to the final score including overtime.
Kalshi's resolution logic contains a logical contradiction where both mutually exclusive game outcomes (Utah Valley win and Utah Tech win) are mapped to the same resolution state (Yes), making the market fundamentally unresolvable. Polymarket uses standard binary winner-take-all logic.
Hero Tip:
This is a critical data integrity failure on Kalshi. The market cannot be settled fairly as written because both possible game outcomes resolve identically. Request clarification from Kalshi before trading. Polymarket's logic is sound and resolvable.
Critical Divergence Points:
Polymarket: Standard binary sports resolution. Utah Tech victory resolves to Utah Tech Trailblazers, Utah Valley victory resolves to Utah Valley Wolverines. Postponement keeps market open; cancellation without makeup resolves 50-50. Resolution based on final score including overtime.
Kalshi: Logically contradictory structure. Both conditional branches (Utah Valley wins AND Utah Tech wins) resolve to Yes, creating an impossible settlement scenario where the market cannot distinguish between the two mutually exclusive outcomes.
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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