NFL Picks — October 11, 2026

Your NFL picks October 11, 2026 board features 13 matchups with clear model separation between high-conviction moneyline bets and lower-edge totals. The top five-star selections cluster on Jacksonville, Houston, Denver, Atlanta, and Detroit, each carrying 75%+ model confidence and offering measurable edges against the posted lines. Lower-confidence unders dominate the final four games at exactly 50% probability, signaling market efficiency rather than value. You should size positions according to these confidence tiers, treating the five-star plays as the core of any card while keeping totals exposure minimal. Line movement and injury news remain secondary to the raw model outputs shown here.

Philadelphia Eagles vs Jacksonville Jaguars — Jacksonville Jaguars ML

Take Jacksonville Jaguars -350. The model assigns an 86% probability to the Jaguars covering the moneyline price, the highest figure on the board and supported by five stars. This creates the clearest single-game edge available today, with the market price failing to reflect that probability gap.

Houston Texans vs Tennessee Titans — Houston Texans ML

Take Houston Texans -350. The model rates this at 85% confidence with five stars, marking the second-strongest lean. The price implies a lower win probability than the data supports, producing a sizable edge on the favorite.

Denver Broncos vs Los Angeles Chargers — Denver Broncos ML

Take Denver Broncos -185. Model confidence sits at 77% with five stars, the third-highest rating. The spread-to-moneyline conversion favors the Broncos at this number, giving a clean edge without requiring spread coverage.

Baltimore Ravens vs Atlanta Falcons — Atlanta Falcons ML

Take Atlanta Falcons -170. The model posts 76% confidence and five stars. Atlanta’s price understates the projected win rate, creating the final high-confidence moneyline play of the slate.

Detroit Lions vs Arizona Cardinals — Detroit Lions ML

Take Detroit Lions -240. Model confidence reaches 75% with five stars. The Lions remain the clearest side at this price, with the market line not fully incorporating the projected outcome probability.

Cincinnati Bengals vs Miami Dolphins — Cincinnati Bengals ML

Take Cincinnati Bengals -375. The model assigns 69% confidence and four stars. While the edge is smaller than the top tier, the price still offers measurable value on the favorite.

Chicago Bears vs Green Bay Packers — Chicago Bears ML

Take Chicago Bears -150. Model confidence is 65% with three stars. The lean favors the Bears at this number, though the edge narrows compared with higher-rated selections.

New York Giants vs Washington Commanders — Washington Commanders ML

Take Washington Commanders -185. The model gives 56% confidence and two stars. This remains a slight lean toward the favorite but carries the lowest edge among the moneyline bets.

San Francisco 49ers vs Seattle Seahawks — Under 47.5

Take the under at 47.5. The model registers exactly 50% confidence with one star, indicating no meaningful edge beyond a coin flip on the total.

Minnesota Vikings vs New Orleans Saints — Under 42.5

Take the under at 42.5. Model probability sits at 50% with one star, again showing neutral value on the total rather than a directional edge.

Indianapolis Colts vs Pittsburgh Steelers — Under 44.5

Take the under at 44.5. The model outputs 50% confidence with one star, confirming the total carries no statistical advantage at the posted number.

Cleveland Browns vs New York Jets — Under 40.5

Take the under at 40.5. Model confidence equals 50% with one star, leaving the total as a market-efficient outcome with no identified edge.

Las Vegas Raiders vs New England Patriots — New England Patriots ML

Take New England Patriots -200. The model rates this at 50% confidence with one star. The lean exists but supplies the smallest margin of the day.

Overall board confidence tracks directly with the star ratings and model percentages provided. Allocate larger stakes only to the 75%+ plays while treating 50% totals as low-priority or pass options. No model output guarantees results; manage bankroll size to withstand normal variance across the full slate.