TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 5, 10:24 PM EST
Kalshi
This market tracks whether Abilene Christian will score over or under 2.5 rushing touchdowns in their upcoming football game against Texas Tech. Currently, the consensus probability strongly favors Abilene Christian scoring over 2.5 rushing touchdowns, at 100%. This aggregated view combines data from Kalshi and Polymarket, and will resolve based on NCAA official game results. Keep an eye on the game itself, scheduled for September 5, as the outcome of the contest will determine resolution.
In the upcoming college football game, scheduled for September 5 at 7:00PM ET: If Abilene Christian wins, the market will resolve to "Abilene Christian". If Texas Tech wins, the market will resolve to "Texas Tech". If the game is postponed, this market will remain open until the game has been completed. If the game is canceled entirely or ends in a tie, with no make-up game, this market will resolve 50-50.
All markets resolve based on the total points scored by both teams in the Abilene Christian vs Texas Tech college football game scheduled for September 5, 2026. Each market has a specific point threshold; if the combined score exceeds that threshold, the market resolves to Yes. If the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final result. If the game does not start within 48 hours of the scheduled time, all markets resolve to a fair price. Kalshi disclaims any affiliation with the NCAA, and all trademarks remain the property of their respective owners.
Prediction market odds often reflect sharper, more granular insights than traditional sportsbook lines, especially for niche matchups like this one. While sportsbooks may post a standard spread or total, prediction markets let traders bet on many possible outcomes at fine-tuned probabilities. This can reveal expectations around game dynamics — for example, the chance of a lopsided win or a high-scoring affair — that standard lines may smooth over or delay updating.
Price differences between Polymarket and Kalshi often stem from user base, liquidity, and trading mechanics. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. For instance, one platform may attract more college football fans, skewing its odds toward a particular side, while the other could reflect broader betting patterns. Additionally, each venue sets its own fee structure and order-book dynamics, which can amplify or dampen price movements on this market.
Injuries to key players, coaching changes, or shifting weather conditions could all move this market as the game approaches. High-profile media coverage highlighting one team’s strengths may also shift trader sentiment. Moreover, early line movements on any platform can create a feedback loop, prompting rapid adjustments in probability and volume for this market in the days ahead.