TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 19, 7:38 PM EST
Kalshi
These markets focus on predicting the point differential in the second half of a college football game between Louisiana Tech and Baylor. Each market corresponds to a specific point margin threshold that must be exceeded by either team during that period for the outcome to be considered valid.
All markets resolve based solely on points scored during the second half (including overtime) of the designated college football game. If Baylor achieves a second-half victory exceeding the specified point margin, the corresponding 'Baylor wins by over X points' market resolves to Yes; if Louisiana Tech achieves such a margin, the relevant 'Louisiana Tech wins by over X points' market resolves to Yes. Markets remain active if the game is postponed but starts within 48 hours of the original time; otherwise, they resolve to a fair price. No affiliation with the NCAA is implied, and all trademarks remain property of their respective owners.
Typically, prediction market odds 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. This market, however, is driven by individuals trading on their own beliefs, leading to potentially different probabilities assigned to various outcomes. If there's a significant discrepancy, it might indicate that the crowd believes a sportsbook has mispriced the event, or that new information hasn’t fully been incorporated into sportsbook lines yet.
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 market’s collective assessment of the probability of that spread occurring. As more traders participate, the price adjusts to reflect new information and changing sentiment. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The price movement is driven by supply and demand; if more people believe Louisiana Tech will cover a certain spread, the price of contracts representing that outcome will increase, and vice versa.
This market resolves around Sep 19, 2026, with the outcome confirmed once the final point spread for the second half of the Louisiana Tech vs Baylor game is verifiable from credible public reporting. The resolution will be based on the official result reported by the governing body of college football. Traders holding contracts on the correct spread will receive a payout of $1.00 per contract, while those holding contracts on incorrect spreads will receive $0.00. The final score will be the determining factor for settling this market.
Several factors could influence the price of this market before it resolves. Any news regarding injuries to key players on either Louisiana Tech or Baylor could significantly shift the perceived probabilities. Changes in weather forecasts, particularly if they are expected to impact the style of play, could also move the market. Late-breaking news about team morale, coaching decisions, or even unexpected starting lineup changes could all contribute to price fluctuations in this market as traders react to new information.