TOTAL VOLUME:
$154.5b
24H VOL:
$271,200,656
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,922,627,141
420,368
Markets across
40,352
events
MATCHED EVENTS:
4,484
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 17, 10:25 PM EST
Kalshi
This group covers various markets related to the college football game between UT Rio Grande Valley and Incarnate Word, scheduled for October 17th. Markets include predicting the winner, point spreads, and the over/under total points scored. The markets are based on the outcome of the game as determined by official NCAA results.
In the upcoming college football game between UT Rio Grande Valley and Incarnate Word, scheduled for October 17 at 7:00PM ET: This market will resolve to "UT Rio Grande Valley" if UT Rio Grande Valley win the game. This market will resolve to "Incarnate Word" if Incarnate Word win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
If Incarnate Word wins the UT Rio Grande Valley vs Incarnate Word college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes. If UT Rio Grande Valley wins the UT Rio Grande Valley vs Incarnate Word college football game originally scheduled for Oct 17, 2026, then the market resolves to Yes.
In the upcoming college football game between UT Rio Grande Valley and Incarnate Word, scheduled for October 17 at 7:00PM ET: This market will resolve to "UT Rio Grande Valley" if UT Rio Grande Valley win the game. This market will resolve to "Incarnate Word" if Incarnate Word win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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.
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. Differences in user base, trading fees, and market design can all contribute to price discrepancies between Polymarket and Kalshi. For example, Polymarket might attract more sophisticated traders with access to specialized information, while Kalshi could have a larger base of casual bettors. These differing compositions can influence how quickly information is incorporated into the price of this market. Additionally, the specific rules and liquidity on each platform will also affect trading dynamics and, ultimately, the observed probabilities.