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10-10 O/U Record
50.0% Over Rate
-0.9u Units Won
-4.5% ROI
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Geno Smith's rushing yards in conference games presents a neutral betting proposition with a dead-even 50% over rate across 20 games. Despite averaging 14.6 yards against 11.2 lines for a +3.4 differential, the -4.5% ROI on both sides suggests efficient market pricing with minimal edge.

Expert Analysis

The conference games data reveals a fascinating case study in market efficiency for Geno Smith's rushing yards. While his 14.6-yard average significantly exceeds the typical 11.2 line, creating an apparent 3.4-yard cushion, the perfectly balanced 10-10 over-under record tells a different story. This suggests books are accurately adjusting lines based on game script expectations, weather conditions, and opponent-specific factors that don't show up in raw averages. Smith's rushing production varies dramatically based on situational football—scrambling when protection breaks down, designed runs in short-yardage situations, and clock-killing scenarios. The -4.5% ROI on both sides indicates the market has largely solved this prop, with juice eating into any potential edge. The recent streak patterns show volatility, with the longest runs being just three overs and four unders, suggesting no persistent bias. Conference games often feature more familiar opponents and divisional rivalry intensity, which can lead to more conservative game plans that limit quarterback rushing opportunities. Without clear splits data showing exploitable patterns in specific matchups, weather conditions, or home-road scenarios, this becomes a coin-flip proposition where the house edge makes consistent profit unlikely.

Betting Verdict

PASS with LOW confidence. While Geno Smith averages 3.4 yards above typical lines in conference games, the dead-even 50% hit rate and negative ROI on both sides indicate an efficiently priced market. The 20-game sample shows no exploitable edge exists despite the favorable average differential. Wait for specific game conditions or line value rather than betting this trend blindly.

10 OVERS (50.0%)
10 UNDERS
0% 50% breakeven 100%

Performance vs Line

Game Log (Last 15 Games)

Date Opp Line Actual +/- Result
2025-01-05 OPP 6.5 14.0 +7.5 OVER
2024-12-22 OPP 8.5 8.0 -0.5 UNDER
2024-12-15 OPP 12.5 5.0 -7.5 UNDER
2024-12-08 OPP 12.5 0.0 -12.5 UNDER
2024-11-24 OPP 14.5 2.0 -12.5 UNDER
2024-11-17 OPP 14.5 29.0 +14.5 OVER
2024-11-03 OPP 12.5 16.0 +3.5 OVER
2024-10-20 OPP 11.5 15.0 +3.5 OVER
2024-10-10 OPP 15.5 0.0 -15.5 UNDER
2024-10-06 OPP 9.5 72.0 +62.5 OVER
2024-09-30 OPP 10.5 38.0 +27.5 OVER
2024-01-07 OPP 9.5 28.0 +18.5 OVER
2023-11-30 OPP 9.5 6.0 -3.5 UNDER
2023-11-23 OPP 6.5 21.0 +14.5 OVER
2023-11-19 OPP 7.5 -1.0 -8.5 UNDER

Key Splits

Home vs Away

Home 40.0% Over
Away 60.0% Over

Favorite vs Underdog

Favorite 50.0% Over
Underdog 50.0% Over

Recent Trend

Last 5 20.0% Over
Last 10 —% Over

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Frequently Asked Questions

What is Geno Smith's Rushing Yards prop record conference games?

Geno Smith has gone over his rushing yards prop in exactly 10 of 20 conference games (50%), averaging 14.6 yards against typical lines of 11.2 yards for a +3.4 differential.

Should I bet OVER or UNDER on Geno Smith Rushing Yards conference games?

Pass on Geno Smith rushing yards props in conference games. The dead-even 50% hit rate and -4.5% ROI on both sides indicate an efficiently priced market with no exploitable edge.

What's Geno Smith's average Rushing Yards conference games?

Smith averages 14.6 rushing yards in conference games, running 3.4 yards above the typical 11.2-yard line. However, this advantage hasn't translated to profitable betting opportunities due to situational adjustments.

How reliable is this trend?

Avoid betting Smith's rushing yards props in conference games unless specific game conditions create line value. The historical data shows no consistent edge regardless of recent form or streak patterns.

Methodology: This analysis covers 20 games from 2023-09-17 to 2025-01-05. O/U results use closing prop lines. ROI assumes -110 juice. Pushes excluded from percentages.