TOTAL VOLUME:
$134.2b
24H VOL:
$129,159,707
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,442,132,418
404,744
Markets across
30,489
events
MATCHED EVENTS:
2,691
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 26, 3:21 AM EST
Polymarket
This event group covers halftime results for the Liga MX match between Tigres de la UANL and Atlético San Luis scheduled for July 24, 2026. Markets span three outcome types (Tigres lead, draw, San Luis lead) on Polymarket, plus two goal-differential markets on Kalshi. The core question is whether resolution logic for halftime outcomes is consistent across platforms.
In the upcoming Liga MX game between Tigres de la UANL and Atlético San Luis, scheduled for July 24, 2026 at 9:00 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
Resolution is determined by the goal differential during the first 45 minutes plus stoppage time of the Tigres vs San Luis Liga MX game scheduled for July 24, 2026. Only goals scored during the first half count toward resolution. The market resolves Yes if either Tigres wins by more than 1.5 goals or San Luis wins by more than 1.5 goals. If the game is cancelled or rescheduled more than two weeks away, the market resolves to a fair price.
Prediction markets and traditional sportsbooks price events differently. Sportsbooks set odds to balance their book and manage risk, often incorporating a margin. Prediction markets instead aggregate trader beliefs directly—prices reflect what thousands of participants collectively think will happen, without a built-in house edge. This can make prediction market odds more responsive to new information and less subject to the commercial constraints sportsbooks face. However, prediction markets may have lower liquidity on niche events, which can widen spreads compared to major sportsbook lines.
Team news—injuries, lineup changes, or tactical shifts—can significantly shift halftime outcome odds. Recent form, head-to-head records, and home-field advantage all influence trader positioning. Weather conditions and pitch quality on match day may also affect early play. As kickoff approaches, early-game momentum, early goals, or unexpected tactical adjustments by either manager will likely trigger sharp price moves. Breaking news about player availability or managerial decisions in the hours before the match often triggers the largest repricing, as traders rapidly update their models based on fresh information.