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%
Closed: Oct 17, 5:16 PM EST
Kalshi
These markets track scoring performance in the first half of an upcoming college football game, allowing participants to speculate on whether specific teams will exceed various point thresholds before halftime. Outcomes depend solely on official game statistics, with adjustments for scheduling changes.
All markets resolve based on the official points scored by either Penn St. or Michigan in the first half of the game scheduled for October 17, 2026. Each market has a specific threshold: if the named team scores more than the stated points in the first half, that market resolves to Yes; otherwise, it resolves to No. If the game is postponed but starts within 48 hours of the original time, all open markets remain active and resolve based on the final result. If the game does not start within 48 hours of its scheduled time, all markets resolve to a fair price, meaning neither Yes nor No outcomes are enforced, and participants receive a proportional refund based on the market's liquidity and open positions at the time of resolution.
On Kalshi, this market is priced through a continuous order book, meaning traders are constantly buying and selling contracts representing different outcomes. The price of each contract reflects the probability of that outcome occurring, as perceived by the market participants. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. As more traders buy into a particular outcome, its price increases, and vice versa. This dynamic pricing mechanism aims to create a real-time assessment of the likelihood of each team achieving their first-half total points.
This market resolves around Oct 17, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the official first-half team totals for both Penn State and Michigan will be used to determine whether the contracts pay out. The resolution will be based on the official game statistics as reported by a trusted sports data source. Traders will be able to see the final results and payouts on Kalshi shortly after the conclusion of the first half.
Several factors could influence the trading activity in this market. Any news regarding key player injuries for either Penn State or Michigan would likely have a significant impact. Changes in weather forecasts, particularly if they suggest conditions favorable to one team’s offensive style, could also shift the odds. Additionally, late-breaking reports about team strategies or coaching decisions might prompt traders to adjust their positions. Public sentiment and analysis from sports commentators could also play a role in driving volume and price movements.