TOTAL VOLUME:

$154.1b

24H VOL:

$172,394,893

24H TRANSACTIONS:

2,983,476,643

OPEN INTEREST:

$1,821,572,886

404,136

Markets across

40,075

events

MATCHED EVENTS:

4,369

PLATFORM COVERAGE:

5

Polymarket:

37%

VS.

Kalshi:

63%

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Baylor vs UCF: Team Total
kalshi

What is the result of Baylor vs UCF?

Volume:
$342,195

Baylor over 30.5 points

 - Kalshi

Baylor over 30.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 31, 2026

Closed: Oct 30, 10:09 PM EST

kalshi

Kalshi

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Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Baylor over 30.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$22,610
N/A
N/A
$15,233
Settled
Yes
kalshi

Baylor over 37.5 points

100%
Yes 100¢No 0¢
—
N/A
$19,042
N/A
N/A
$13,879
Settled
Yes
kalshi

Baylor over 23.5 points

100%
Yes 100¢No 0¢
—
N/A
$17,407
N/A
N/A
$15,108
Settled
Yes
kalshi

Baylor over 27.5 points

100%
Yes 100¢No 0¢
—
N/A
$16,665
N/A
N/A
$11,572
Settled
Yes
kalshi

Baylor over 20.5 points

100%
Yes 100¢No 0¢
—
N/A
$15,043
N/A
N/A
$10,377
Settled
Yes
kalshi

Baylor over 13.5 points

100%
Yes 100¢No 0¢
—
N/A
$11,764
N/A
N/A
$10,633
Settled
Yes
kalshi

Baylor over 34.5 points

100%
Yes 100¢No 0¢
—
N/A
$10,070
N/A
N/A
$7,510
Settled
Yes
kalshi

Baylor over 19.5 points

100%
Yes 100¢No 0¢
—
N/A
$6,544
N/A
N/A
$6,383
Settled
Yes
kalshi

Baylor over 9.5 points

100%
Yes 100¢No 0¢
—
N/A
$5,901
N/A
N/A
$5,901
Settled
Yes
kalshi

Baylor over 16.5 points

100%
Yes 100¢No 0¢
—
N/A
$4,436
N/A
N/A
$4,435
Settled
Yes
kalshi

Baylor over 41.5 points

0%
Yes 0¢No 100¢
—
N/A
$52,078
N/A
N/A
$18,508
Settled
No
kalshi

UCF over 13.5 points

0%
88%
Yes 0¢No 100¢
—
N/A
$41,878
N/A
N/A
$22,188
Settled
No
kalshi

UCF over 23.5 points

0%
Yes 0¢No 100¢
—
N/A
$32,711
N/A
N/A
$20,927
Settled
No
kalshi

UCF over 16.5 points

0%
Yes 0¢No 100¢
—
N/A
$21,599
N/A
N/A
$9,602
Settled
No
kalshi

UCF over 9.5 points

0%
Yes 0¢No 100¢
—
N/A
$17,292
N/A
N/A
$9,333
Settled
No
kalshi

UCF over 20.5 points

0%
Yes 0¢No 100¢
—
N/A
$14,159
N/A
N/A
$8,847
Settled
No
kalshi

UCF over 19.5 points

0%
Yes 0¢No 100¢
—
N/A
$7,167
N/A
N/A
$6,037
Settled
No
kalshi

Baylor over 45.5 points

0%
Yes 0¢No 100¢
—
N/A
$6,724
N/A
N/A
$3,606
Settled
No
kalshi

UCF over 24.5 points

0%
Yes 0¢No 100¢
—
N/A
$6,507
N/A
N/A
$3,857
Settled
No
kalshi

Baylor over 51.5 points

0%
Yes 0¢No 100¢
—
N/A
$4,330
N/A
N/A
$3,896
Settled
No
kalshi

UCF over 30.5 points

0%
Yes 0¢No 100¢
—
N/A
$2,793
N/A
N/A
$2,765
Settled
No
kalshi

UCF over 27.5 points

0%
35%
Yes 0¢No 100¢
—
N/A
$2,403
N/A
N/A
$2,291
Settled
No
kalshi

Baylor over 48.5 points

0%
Yes 0¢No 100¢
—
N/A
$1,777
N/A
N/A
$1,476
Settled
No
kalshi

UCF over 34.5 points

0%
Yes 0¢No 100¢
—
N/A
$674
N/A
N/A
$625
Settled
No
kalshi

UCF over 37.5 points

0%
Yes 0¢No 100¢
—
N/A
$620
N/A
N/A
$516
Settled
No
Total markets: 25

Description

This event tracks how many points each team scores in a specific college football game, allowing participants to predict whether a team will exceed various scoring thresholds. The outcome depends solely on the official game result, with adjustments for postponements under certain conditions.

Kalshi

The event evaluates multiple scoring thresholds for both teams in the Baylor vs UCF college football game scheduled for October 30, 2026. Each threshold represents a distinct market that resolves to 'Yes' if the specified team scores more than the designated point total during the game. All markets share consistent secondary rules: if the game is postponed but starts within 48 hours of the original time, the markets remain open and resolve based on the final official result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the specific threshold they selected.

Frequently asked questions

On Kalshi, the dashboard for the Baylor vs UCF team totals market tracks the current odds, price history, and 24-hour trading volume. You can see how the implied probabilities of different team total outcomes are changing in real-time. Currently, the 24-hour volume is $318,256 and the total volume traded is $342,101. This allows traders to gauge market sentiment and identify potential opportunities. The dashboard provides a clear visual representation of activity surrounding this specific event, helping you understand where others are placing their predictions.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks often set initial lines to balance action, while this market allows participants to freely trade based on their own analysis and information. If a significant discrepancy emerges between this market and sportsbook lines, it may indicate that prediction market traders believe the sportsbook is mispricing the probability of certain outcomes. It's common to see convergence as the event approaches, but divergences can present opportunities for informed traders.

On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different team total outcomes. The price of each contract reflects the market's current assessment of the probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective intelligence of the crowd. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Price movements are driven by new information, shifts in sentiment, and the actions of other traders, creating a dynamic and responsive pricing mechanism for the Baylor vs UCF team totals.

This market resolves around Oct 31, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final team totals for both Baylor and UCF will be sourced from official game statistics. The market will settle based on whether the actual team totals exceed or fall short of the specified thresholds offered in the market contracts. This ensures a transparent and objective resolution process, reflecting the actual results of the game.

Several factors could influence trading activity in this market. News regarding player injuries, changes in coaching strategies, or even weather forecasts could all impact the perceived probabilities of different team total outcomes. Unexpected announcements about team lineups or significant performance shifts during other games could also trigger movement. Furthermore, large trades executed by individual participants on Kalshi can create short-term price fluctuations, and overall market volume will reflect the level of interest and conviction surrounding the event.