
$2.96K
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1 market tracked

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| Market | Platform | Price |
|---|---|---|
![]() | Poly | 98% |
Trader mode: Actionable analysis for identifying opportunities and edge
This event is for the WBB game between Mercer Bears and East Tennessee State Buccaneers on February 1 at 4:00 PM ET. If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely, with no make-up game, this market will resolve 50-50.
Prediction markets give Mercer's women's basketball team a 98% chance to win their game against East Tennessee State. In simple terms, traders see this as a near certainty. A probability this high suggests the collective view is that an ETSU victory would be a major surprise.
The overwhelming odds are based on the teams' current seasons and recent history. Mercer entered this game with a strong 16-4 record. East Tennessee State was struggling, holding a 4-16 record. This large gap in performance is the main driver of the prediction.
The history between these teams adds context. They are both members of the Southern Conference. In their first meeting this season on January 4th, Mercer won decisively, with a final score of 72-48. That 24-point victory provides a concrete recent example of the performance gap traders are betting on. Markets are essentially forecasting a repeat of that lopsided dynamic.
The key event is the game itself, scheduled for Thursday, February 1st, at 4:00 PM ET. The only developments that could realistically change the outlook before tip-off would be a last-minute announcement of a key player absence for Mercer due to injury or illness. Otherwise, the result on the court will settle the market.
For regular-season college basketball games, prediction markets are generally accurate when the odds are so heavily skewed. They effectively aggregate all public information about team strength, injuries, and matchups. However, the "98%" price also includes a premium for liquidity. With only about $3,000 wagered, it's a thin market. This means the extreme odds might slightly overstate the true certainty, as there aren't enough traders willing to bet on the longshot to perfectly balance the price. While an ETSU win is very unlikely, the market's extreme probability should be seen as a very strong lean, not a mathematical guarantee.
The prediction market assigns a 98% probability to the "Mercer Bears vs. East Tennessee State Buccaneers (W)" outcome, implying near-certainty that the listed event will occur as described. With a price of $0.98, the market effectively treats this as a settled fact. This extreme confidence is typical for markets where the underlying event is a scheduled sports game, as opposed to a competitive match outcome. The $3,000 in trading volume is low, indicating limited speculative interest, which is common for administrative event contracts.
This market resolves based on whether the women's basketball game between Mercer and East Tennessee State is played on February 1st, not which team wins. The 98% price reflects the high reliability of NCAA sports schedules. Barring a last-minute, catastrophic event like severe weather, facility issues, or a team health crisis, Division I games almost always proceed as planned. The market's pricing accounts for the historical rarity of full cancellations compared to postponements. The contract's specific rule that a postponement does not trigger an immediate resolution, but keeps the market open until completion, removes a major source of uncertainty for traders.
A shift from 98% is unlikely but would require concrete news threatening the game's viability. An official announcement from either university's athletics department regarding a cancellation would immediately crash the price to near zero. Given the resolution time is imminent or past due, any such announcement would have likely occurred already. The primary residual risk is an administrative error in the market's oracle resolution, though this is rare on established platforms. For all practical purposes, this market is pricing in the execution of a standard calendar event.
AI-generated analysis based on market data. Not financial advice.
$2.96K
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Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.

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