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TCU vs Baylor: 2nd Half Spread
kalshi

What is the result of TCU vs Baylor?

Volume:
$39,696

TCU wins by over 3.5 points

 - Kalshi

TCU wins by over 3.5 points - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Oct 18, 2026

Closed: Oct 17, 10:56 PM EST

kalshi

Kalshi

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

TCU wins by over 3.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$8,133
N/A
N/A
$8,031
Settled
Yes
kalshi

TCU wins by over 6.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$6,784
N/A
N/A
$5,953
Settled
Yes
kalshi

TCU wins by over 7.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$2,240
N/A
N/A
$1,681
Settled
Yes
kalshi

TCU wins by over 4.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$1,711
N/A
N/A
$1,711
Settled
Yes
kalshi

TCU wins by over 9.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$1,575
N/A
N/A
$845
Settled
Yes
kalshi

TCU wins by over 2.5 points

View
100%
Yes 100¢No 0¢
—
N/A
$80
N/A
N/A
$76
Settled
Yes
kalshi

Baylor wins by over 23.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$2,925
N/A
N/A
$2,920
Settled
No
kalshi

Baylor wins by over 20.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$2,805
N/A
N/A
$2,726
Settled
No
kalshi

Baylor wins by over 6.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$2,450
N/A
N/A
$2,335
Settled
No
kalshi

Baylor wins by over 10.5 points

View
0%
24%
Yes 0¢No 100¢
—
N/A
$1,676
N/A
N/A
$1,337
Settled
No
kalshi

Baylor wins by over 7.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,397
N/A
N/A
$1,110
Settled
No
kalshi

TCU wins by over 10.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,163
N/A
N/A
$924
Settled
No
kalshi

Baylor wins by over 13.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,144
N/A
N/A
$1,068
Settled
No
kalshi

Baylor wins by over 2.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$1,040
N/A
N/A
$980
Settled
No
kalshi

Baylor wins by over 17.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$914
N/A
N/A
$912
Settled
No
kalshi

Baylor wins by over 4.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$888
N/A
N/A
$703
Settled
No
kalshi

Baylor wins by over 3.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$888
N/A
N/A
$888
Settled
No
kalshi

Baylor wins by over 9.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$832
N/A
N/A
$799
Settled
No
kalshi

Baylor wins by over 14.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$806
N/A
N/A
$806
Settled
No
kalshi

TCU wins by over 13.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$206
N/A
N/A
$185
Settled
No
kalshi

TCU wins by over 14.5 points

View
0%
Yes 0¢No 100¢
—
N/A
$38
N/A
N/A
$38
Settled
No
Total markets: 21

Description

This set of markets focuses on predicting the outcome of the second half of a college football game between TCU and Baylor, specifically how many points one team may win by over the other during that period. The markets cover a range of possible point differentials, allowing participants to bet on various margins of victory for either team in the latter half of the game.

Kalshi

All markets resolve based solely on points scored during the second half (including overtime) of the TCU vs Baylor college football game scheduled for October 17, 2026. Each market corresponds to a specific point differential threshold, with 'Yes' resolving if the winning team exceeds that threshold in the second half. If the game is postponed but starts within 48 hours of the original time, it remains active and resolves normally. If the game does not start within 48 hours, all markets resolve to a fair price, ensuring equitable treatment for all participants regardless of the game's ultimate status.

Frequently asked questions

On Kalshi, the dashboard for the TCU vs Baylor spread tracks the current price of contracts representing different point spreads for the second half of the game. You can view the historical price movement of this market, allowing you to see how predictions have shifted over time. The dashboard also displays the current 24-hour volume of $28,923 and the total volume traded to date of $39,696. This provides insight into how actively traders are participating in this particular market.

Typically, prediction market odds reflect the wisdom of the crowd and can differ from traditional sportsbook odds. Sportsbooks set their lines based on models and internal analysis, while this market aggregates the beliefs of many individual traders. If a significant number of people believe a particular outcome is more likely than a sportsbook suggests, the price in this market will adjust accordingly. However, it’s important to remember that both represent probabilities and can be influenced by various factors, including news, injuries, and public perception.

On Kalshi, this market is priced through a continuous order book where traders buy and sell contracts representing different point spreads. The price of each contract reflects the probability that the actual spread will fall in that range. As more traders buy contracts for a particular spread, the price increases, indicating a higher perceived probability. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market dynamically adjusts based on supply and demand, offering a real-time assessment of expectations for the TCU vs Baylor second-half spread.

This market resolves around Oct 18, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final point spread for the second half of the TCU vs Baylor game will be used to determine which contracts pay out. Contracts predicting the correct spread will settle at 100, while those predicting an incorrect spread will settle at 0. The resolution will be based on official game statistics and results.

Several factors could influence the price of this market before the game concludes. Any news regarding key player injuries for either TCU or Baylor would likely cause significant movement. Changes in weather conditions, particularly if they are expected to impact the game's style, could also shift predictions. Furthermore, late-breaking news about coaching decisions or team strategies could influence trader sentiment and affect the price of contracts. Public perception and analysis from sports commentators can also contribute to price fluctuations.