TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Time left: 11d:18h:19m
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This group covers various markets related to the Wake Forest vs. SMU college football game scheduled for November 14, 2026, including the winner, point spreads, and over/under totals for the game and specific quarters/halves, as well as team totals. Markets exist for both Wake Forest and SMU scoring.
In the upcoming college football game between Wake Forest and SMU, originally scheduled for Saturday, November 14, 2026 at 12:00 PM ET (as of creation of the first market related to the event): This market will resolve to "Wake Forest" if Wake Forest win the game. This market will resolve to "SMU" if SMU win the game. Overtime is included if played. If the game ends in a tie, this market will resolve 50-50. 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 16, 2026, 11:59 PM ET, or is abandoned with no official result by that time, this market will resolve 50-50.
If SMU wins the Wake Forest vs SMU college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes. If Wake Forest wins the Wake Forest vs SMU college football game originally scheduled for Nov 14, 2026, then the market resolves to Yes.
Prediction market odds often differ from traditional sportsbook odds due to the differing incentives and information sources. Sportsbooks set lines to balance action and ensure profit, while prediction markets reflect the aggregate beliefs of informed traders. This can lead to prediction markets being more accurate, especially when significant information isn’t yet widely reflected in sportsbook lines. On Polymarket, this market is priced through continuous trading, allowing for rapid adjustments based on new information. This contrasts with sportsbooks, which typically update odds less frequently. The current volume of $415 shows strong interest in this event.
Prices on Polymarket and Kalshi can diverge due to several factors. These platforms have different user bases, trading volumes, and market structures. 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 example, Polymarket might attract more sophisticated traders with access to specialized information, while Kalshi could have a broader, more general audience. Additionally, differing liquidity and trading fees can also contribute to price discrepancies. Currently, Polymarket currently favors Spread: Wake Forest (-17.5) at 100.0%, while Kalshi leans toward Wake Forest wins at 56.0%. This illustrates how different markets can arrive at different probabilities for the same event.
This market resolves around Nov 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the official result of the Wake Forest vs. SMU game, as reported by a reputable sports data provider. Traders will be able to see the final outcome and how it impacts their positions. The current volume in this market is $415, indicating significant participation and interest in predicting the result. This market provides an opportunity to express your view on the game’s outcome before resolution.
Several signals could significantly impact this market before Nov 14, 2026. Key player injuries, changes in coaching strategies, or unexpected weather conditions could all shift expectations. News reports regarding team morale or internal conflicts could also influence trading activity. Furthermore, significant betting activity on traditional sportsbooks could create arbitrage opportunities, driving price movements on Polymarket and Kalshi. Any new information that alters the perceived probability of either team winning will likely be reflected in the market price, potentially leading to substantial shifts in the odds.