TOTAL VOLUME:
$154.6b
24H VOL:
$323,326,361
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,969,435,260
419,363
Markets across
40,411
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
UT Martin Skyhawks vs. IU Indy Jaguars
all
2 markets
Predict
Polymarket
consensus
News
Positive
Negative
Neutral
Hover marker for details
Vol.
·
Resolves Nov 7, 2026
Time left: 04d:18h:47m
$
This group resolves to which college basketball team wins the game between UT Martin Skyhawks and IU Indy Jaguars. The markets specify a resolution deadline if the game doesn't occur by a certain date, resulting in a 50-50 split in that case.
In the upcoming CBB game between UT Martin Skyhawks and IU Indy Jaguars, originally scheduled for Saturday, November 7, 2026 at 5:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 9, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
In the upcoming CBB game between UT Martin Skyhawks and IU Indy Jaguars, originally scheduled for Saturday, November 7, 2026 at 5:00 PM ET (as of creation of the first market related to the event): If this market's outcome was definitively determined under its rules by the listed resolution sources before abandonment, that outcome will stand. Otherwise, the following no-result provisions apply. If the game is canceled, does not start by Monday, November 9, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
Prediction market odds, like those found for this market, often reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set lines based on their own models and aim to balance action on both sides, incorporating a profit margin. Prediction markets, conversely, are driven by individuals willing to put their capital behind their beliefs. This can lead to more accurate probabilities, especially as more information becomes available and more traders participate. However, sportsbook odds are typically more readily available and may offer different types of wagers than are available in this market.
Prices on Polymarket and Predict for this market can diverge due to several factors. Polymarket and Predict can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts a different user base with varying risk appetites and information access. Trading fees and platform-specific rules also contribute to price discrepancies. Furthermore, the liquidity available on each platform impacts price discovery; lower volume on one venue can lead to wider bid-ask spreads and less accurate pricing. Differences in how users interpret available information about the UT Martin vs. IU Indy game, or simply differing opinions, can also cause the odds to fluctuate independently on Polymarket and Predict.
This market resolves around Nov 7, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final result will be determined by the official outcome of the UT Martin vs. IU Indy game, as reported by official sources. The platform will verify the result against these sources to ensure accuracy and transparency. Traders who correctly predicted the outcome will be eligible to receive their winnings based on the odds at the time of their trade, while those who predicted incorrectly will forfeit their stake.
Several signals could influence this market before it resolves around Nov 7, 2026. Any news regarding player injuries, changes in team strategy, or unexpected weather conditions could shift predictions. Significant media coverage or expert analysis favoring one team over the other would likely impact trading activity. Public sentiment, reflected in social media trends or betting markets outside of Polymarket and Predict, could also play a role. Finally, major upsets in other games involving these teams’ opponents might indirectly affect the perceived probabilities in this market, leading to adjustments in the odds.