96.0% of spread bets are on UT Rio Grande Valley +28.5 in UT Rio Grande Valley at UTSA — a clear public lean on September 5, 2026.
| Market | Side | Bet % | Money % | Odds |
|---|---|---|---|---|
| Spread | UT Rio Grande Valley +28.5 | 96% | 82% | -110 |
| UTSA -28.5 | 4% | 18% | even | |
| Total | Over 59.5 | 10% | 29% | -113 |
| Under 59.5 | 90% | 71% | -112 | |
| Moneyline | UT Rio Grande Valley | 3% | 81% | +2100 |
| UTSA | 97% | 19% | -4500 |
UT Rio Grande Valley at UTSA is one of the slate's lopsided public plays. 96.0% of the bet count on the spread market is sitting on UT Rio Grande Valley +28.5 — which on a college board usually means a mismatch rather than a market disagreement — lopsided ticket counts are ordinary here, so the number itself says less than where the dollars land against it.
The money side tells a slightly different story: 82.0% of dollars on UT Rio Grande Valley +28.5 versus 96.0% of tickets. That's a small gap by itself, but in the context of a 96.0% public bet count, even a few points of money lag suggests the average bet on UTSA -28.5 is materially larger. Books price these games knowing the public is coming — the line builds in the lean — which is why heavy public favorites historically underperform their implied win rate against the spread.
None of this is a pick. It's the snapshot of how money is landing on this game right now. See how we calculate splits →.
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The ticket count and the dollar count are measuring different bettors. A 14.0-point gap means the average wager on UT Rio Grande Valley +28.5 is smaller than the average wager on the other side — a lot of small bets one way, fewer and larger ones the other.
We aggregate publicly reported sportsbook handle on a sub-hourly cadence and store every snapshot, so a game's splits can be read as a series rather than a single reading. This page shows the most recent snapshot before kickoff.
Less than you'd think. College boards run far more lopsided than professional ones because so many games pair a ranked team with an overmatched opponent. On the games we track, the median spread draws about 82% of tickets to one side, so a heavy count on its own is ordinary. The gap between bets and dollars is the part that carries information.
Not as a blanket rule, and we don't present it as one. Heavy public sides are priced knowing the public is coming, so the lean is partly in the number already. What we track is where the ticket count and the dollars disagree, which is a narrower and more specific thing than fading whoever is popular.
On college spreads the median gap is about 11 points and roughly a quarter of games clear 24, so the bar sits higher here than in a professional league. On totals the same number means considerably more — a 20-point totals gap is about three times rarer than the same gap on a spread.
College boards run far more lopsided than the pros — a 90% ticket count is ordinary here, not remarkable, because so many games pair a ranked team with an overmatched opponent. What matters is whether the dollars agree with the tickets. When they don't, the ticket count is the less informative number. See our methodology →
How we track public bets and money — see our methodology →
Last updated: September 6, 2026 at 3:27 PM UTC
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