VSiN Analyst Compiles Historical NFL Preseason Betting Trends Across Multiple Teams
Written by Devon Patterson · Aug 12, 2026

VSiN Analyst Compiles Historical NFL Preseason Betting Trends Across Multiple Teams

Steve Makinen at VSiN assembled a detailed review of betting patterns drawn from recent NFL preseason results, and the compilation covers several franchises with notable streaks in over-under totals, straight-up wins, and against-the-spread outcomes. The analysis draws on data from the past four preseasons in many cases, and it isolates trends that stand out when teams prepare for the regular season amid roster changes and limited playing time for starters.
Team-Specific Patterns Identified in Recent Preseasons
Buffalo appears with a 14-5-1 mark on the over side of the total across the referenced period, while Chicago posted a 9-2-1 straight-up record and a 10-2 mark against the spread during the same four-year window. Observers note that these figures emerge from games played under conditions where coaching staffs often rest key players after the first or second quarter, and the lines themselves sometimes reflect limited public betting volume compared with regular-season contests.
Additional patterns surface for Denver and Houston along with several other clubs, and these include splits based on home or road venue plus favorite versus underdog status. Makinen presented the data as a reference point rather than a predictive tool, and the report underscores that each preseason slate carries distinct variables such as rotating depth-chart usage and early adjustments to new offensive or defensive schemes.
Why Preseason Betting Demands Separate Analysis
Preseason contests differ from regular-season games because starters frequently exit early, and unfamiliar betting lines can result from lighter wagering interest. Data indicates that these factors alter how totals and spreads behave, while the overall sample size remains smaller than the regular campaign. Those who track such markets often adjust their approach to account for coaching priorities that emphasize evaluation over wins during August exhibitions.

The VSiN piece points out that ongoing weekly updates will appear in future reports, and this schedule allows bettors to monitor whether early trends hold as more games unfold. Figures from prior years show that some teams maintain consistent over or under tendencies even as personnel shifts occur, yet the report stresses that each season introduces new variables such as rule changes or staff turnover that can influence outcomes.
Broader Context for 2026 Preseason Markets
August 2026 marks the period when these preseason trends receive renewed attention ahead of the upcoming campaign, and the compilation serves as a baseline for comparing current results against historical marks. Makinen’s review includes both conference-wide observations and team-by-team breakdowns, and it avoids projecting future performance while simply cataloging what has occurred in recent exhibitions. Industry reports from sources like the American Gaming Association highlight how preseason wagering volumes remain modest relative to the regular season, yet they still attract attention from those seeking statistical edges in niche markets.
Researchers who study sports betting data have documented similar preseason anomalies across multiple leagues, and the NFL examples compiled by VSiN align with patterns observed when limited snaps and experimental lineups affect scoring and margins. The report plans to track these metrics week by week, which provides a running ledger that can reveal whether early anomalies persist or fade as training-camp depth charts stabilize.
Conclusion
The VSiN analysis supplies a factual record of recent preseason betting results across several NFL franchises, and it emphasizes the need for specialized evaluation methods due to the unique characteristics of exhibition games. Continued weekly tracking will add fresh data points throughout the 2026 preseason slate, while the initial compilation offers a reference for anyone examining historical tendencies in totals, spreads, and straight-up results.