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College Football Analytics — Power Ratings, HFA, Weather & Line Value

Blue Chip Analytics is an independent college football analytics site built by Liam Browne. Every number on the site — power ratings, home-field advantage values, travel distances, weather flags — is computed from publicly available data using documented methods. The goal is a resource that serious bettors and analysts can actually audit.

This Week's Data

Travel: Duke travels 2,379 miles to face California — the week's longest road trip. Week 6 hub →
Home Field: SMU hosts Syracuse at Gerald J. Ford Stadium, carrying the week's highest home-field advantage (+3.2 pts). Week 6 hub →
Weather: Western Michigan at Massachusetts faces the most significant weather conditions this week (12°F). Week 6 hub →
Elevation: UNLV visits Wyoming at 7,230 ft elevation — a documented visiting-team disadvantage. Week 6 hub →

Last updated: June 10, 2026

Analytics Tools

Power Ratings

Ranks all 136 FBS teams by a margin-of-victory model that adjusts for opponent strength, location, and rest — updated each week as results come in. Use it to see where your team sits relative to the field and whether the market spread reflects the underlying power gap.

Home Field Advantage

Assigns a point value to each FBS stadium based on historical home-team margin data, controlling for roster quality. Some venues are worth more than two possessions; others are effectively neutral — the tool shows you which is which.

Weather Analysis

Pulls game-time forecasts for every stadium on the schedule and flags games where wind, temperature, or precipitation cross thresholds known to suppress scoring. Powered by WeatherAPI.com data baked in at build time.

Line Value Calculator

Takes any matchup — home team, away team, stadium, weather preset — and computes an implied spread from power ratings, home-field advantage, travel distance, and time-zone shift. Enter a market line to see the implied edge in either direction.

Consensus Prediction

Aggregates the model's power-rating output, HFA adjustment, and travel inputs into a single directional read per matchup. Intended as a sanity check alongside your own research, not a replacement for it.

Travel & Rest

Breaks down how far each road team travels, the body-clock shift from crossing time zones, and how many days of rest each side has before kickoff. Use it to spot scheduling disadvantages the market spread may not fully price in.

This Week's Top Matchups

Games ranked by power-rating gap (closest matchups first).

Matchup Date Line Power Gap
Iowa State at Cincinnati 2025-10-04 Iowa State -1.5 0.5
Wake Forest at Virginia Tech 2025-10-04 Virginia Tech -5.5 0.7
Sam Houston at New Mexico State 2025-10-03 Sam Houston -2.5 1.5
Western Kentucky at Delaware 2025-10-03 Delaware -2.5 1.6
Kansas at UCF 2025-10-04 Kansas -3.5 2.7

View all Week 6 games →

Who Builds This

I'm Liam Browne. I have a background in quantitative analysis and have spent years building college football models to identify systematic edges in the betting market — work that has been featured on Newsmax. I built Blue Chip Analytics because I wanted a college football analytics resource that showed its work — one where you could trace every number back to a model and every model back to a methodology. The power ratings, HFA values, travel distances, and weather flags are all computed from publicly available data using transparent methods. Nothing here is a black box.

Read the full methodology or learn more on the author page.

Team Pages

Schedule-by-schedule breakdowns — power ratings, travel load, home-field context, and weather flags — are available for all 136 FBS teams on the team pages index.