College Football Week 0 - 2025

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Week 0 of the 2025 season features 5 FBS games. Stanford carries the week's biggest travel burden at 2,401 miles more than its opponent. Hawai'i posts the week's top HFA at 3.8 points. Analysts focused on travel and venue edges will find the ranked sections below most actionable; casual viewers can use the at-a-glance table to scan results. See our college football weather coverage for stadium-level conditions and what they are worth to a total.

Date Away @ Home Away Power Home Power HFA Power Line Line O/U Line Implied Score
Aug 23
11:00 AM
Iowa State @ Kansas State 10.1 8.1 0.0 Iowa State -2.0 Kansas State -3.5 49.5 24–21 *actual
Aug 23
1:00 PM
Idaho State @ UNLV -20.4 -6.8 2.3 UNLV -15.9 UNLV -30.5 67.5 31–38 *actual
Aug 23
5:30 PM
Fresno State @ Kansas -7.2 7.8 2.8 Kansas -17.8 Kansas -14.0 51.5 7–31 *actual
Aug 23
6:00 PM
Sam Houston @ Western Kentucky -24.1 -15.0 2.6 Western Kentucky -11.8 Western Kentucky -9.5 60.5 24–41 *actual
Aug 23
1:30 PM
Stanford @ Hawai'i -3.9 -8.5 3.8 Stanford -0.8 Hawai'i -1.5 53.5 20–23 *actual

Biggest Travel Disadvantages This Week

Teams ranked by how much further they travelled than their opponent. At a neutral site both teams travel, so the gap between them is the burden - not the raw trip. Body-clock offset and rest-day differential compound it.

2,401 miles · +3h body-clock shift
Stanford travels 2,401 miles to face Hawai'i, arriving with a +3h body-clock shift.
1,344 miles · -2h body-clock shift
Fresno State travels 1,344 miles to face Kansas, arriving with a -2h body-clock shift.
677 miles · no body-clock shift
Sam Houston travels 677 miles to face Western Kentucky (no body-clock shift).
490 miles · +1h body-clock shift
Idaho State travels 490 miles to face UNLV, arriving with a +1h body-clock shift.
247 miles further · -6h body-clock shift · neutral site
Kansas State travels 247 miles further than Iowa State to a neutral-site meeting, arriving with a -6h body-clock shift.

Highest Weather-Risk Games This Week

Games ranked by combined wind, temperature, and precipitation impact. Thresholds: sustained wind ≥ 15 mph, gusts ≥ 25 mph, temp ≤ 32°F or ≥ 95°F, precipitation chance ≥ 60%.

66°F, 6 mph wind, 100% precip, Patchy rain possible
Iowa State @ Kansas State: 66°F, 6 mph wind, 100% precip, Patchy rain possible: conditions historically favor the home team when passing difficulty is elevated.

Strongest Home-Field Advantages This Week

Home teams ranked by stadium HFA rating. Higher values reflect stronger historical home performance at that venue. Venues above 4,000 ft are flagged for altitude disadvantage.

#1 Hawai'i
HFA 3.8 pts · Clarence T.C. Ching Athletics Complex · 16,909 capacity
Hawai'i carries a 3.8-point HFA edge at Clarence T.C. Ching Athletics Complex (16,909 capacity) against Stanford.
#2 Kansas
HFA 2.8 pts · Memorial Stadium · 52,530 capacity
Kansas carries a 2.8-point HFA edge at Memorial Stadium (52,530 capacity) against Fresno State.
HFA 2.6 pts · Houchens Industries-L.T. Smith Stadium · 19,250 capacity
Western Kentucky carries a 2.6-point HFA edge at Houchens Industries-L.T. Smith Stadium (19,250 capacity) against Sam Houston.

Vegas versus Prediction Markets

The bookmaker's spread against the spread implied by the Kalshi prediction market - two markets, no model. When they disagree, it is worth asking which one moves.

Book: UNLV -30.5 · Market: UNLV -19.3 · Gap: 11.2 pts
The bookmaker line is UNLV -30.5; the prediction market implies UNLV -19.3, a notable divergence from the book. Two markets, no model - a wide gap is one side waiting to move.
Book: Kansas -14.0 · Market: Kansas -10.4 · Gap: 3.6 pts
The bookmaker line is Kansas -14.0; the prediction market implies Kansas -10.4, a notable divergence from the book. Two markets, no model - a wide gap is one side waiting to move.
Book: Western Kentucky -9.5 · Market: Western Kentucky -7.9 · Gap: 1.6 pts
The bookmaker line is Western Kentucky -9.5; the prediction market implies Western Kentucky -7.9, a modest gap from the book. Two markets, no model - a wide gap is one side waiting to move.

Model versus Market

Where the Blue Chip model line diverges most from the bookmaker line and the Kalshi prediction market - a three-way read. A large gap suggests the market may be mispricing the matchup: directional signal only, not a betting recommendation.

Model: UNLV -15.9 · Book: UNLV -30.5 · Market: UNLV -19.3
The model makes it UNLV -15.9. The bookmaker line is UNLV -30.5, a notable divergence from the model; the prediction market implies UNLV -19.3, a notable divergence from the model. Directional signal only.
Model: Kansas -18.1 · Book: Kansas -14.0 · Market: Kansas -10.4
The model makes it Kansas -18.1. The bookmaker line is Kansas -14.0, a notable divergence from the model; the prediction market implies Kansas -10.4, a notable divergence from the model. Directional signal only.
Model: Iowa State -2.0 · Book: Kansas State -3.5 · Market: Kansas State -2.7
The model makes it Iowa State -2.0. The bookmaker line is Kansas State -3.5, a notable divergence from the model; the prediction market implies Kansas State -2.7, a notable divergence from the model. Directional signal only.

Notable ATS Records This Week

Teams in this week's games with a cover rate of ≥60% (hot) or ≤40% (cold) ATS this season, minimum 4 games with a decided ATS result.

Hot ATS · 10-3 ATS (77%) · home vs. Sam Houston
Western Kentucky is hot ats this season, covering 10-3 (77%) ATS in 13 games. They play home vs. Sam Houston this week.
#2 Hawai'i
Hot ATS · 9-4 ATS (69%) · home vs. Stanford
Hawai'i is hot ats this season, covering 9-4 (69%) ATS in 13 games. They play home vs. Stanford this week.
Cold ATS · 3-9 ATS (25%) · away @ Western Kentucky
Sam Houston is cold ats this season, covering 3-9 (25%) ATS in 12 games. They play away @ Western Kentucky this week.
#4 Kansas
Cold ATS · 4-7 ATS (36%) · home vs. Fresno State
Kansas is cold ats this season, covering 4-7 (36%) ATS in 11 games. They play home vs. Fresno State this week.

When to Skip This Week 0 Analysis

How We Ranked Week 0's Games

Each ranked section draws from the same enriched data that powers our per-game pages. Travel distances are calculated as straight-line (great-circle) distances from each team's home market to the game stadium. Body-clock offset is the signed time-zone difference the away team crosses, or both teams in case of neutral site games. Rest-day differential is the difference in days since each team last played. Weather scoring compounds wind, temperature, and precipitation against fixed thresholds, dome stadiums are excluded as weather is irrelevant indoors, see our Weather tool for the full methodology.

HFA ratings come from our Home Field Advantage tool, which estimates the per-venue point value based on historical margin-of-victory data. Stadiums above 4,000 ft are flagged; altitude creates a documented visiting-team disadvantage. Power ratings are from the Blue Chip power-rating model. The gap between the model's implied spread and the market line is a directional signal; it is not a betting recommendation.

The Vegas versus Prediction Markets section compares the bookmaker's spread with the spread implied by the Kalshi prediction market - converted from its win probability through a fixed logistic scale - with no model involved. The Model versus Market section sets the Blue Chip model line against both of those markets as a three-way read, and each gap is described with the same language the per-game pages use. ATS records are season-to-date.

Sources

Weather Data

Home Field Advantage

Frequently Asked Questions

How many games are in college football Week 0 2025?

Week 0 of the 2025 FBS season features 5 games tracked by Blue Chip Analytics. The full schedule, lines, and totals are listed in the game table on this page.

How does Blue Chip Analytics rank travel disadvantages?

Teams are ranked by how much further they travelled than their opponent, measured as straight-line distance from each home market to the game stadium. At a home game the host travels nothing, so this is simply the visitor's trip; at a neutral site both teams travel and the gap between them is the burden. Body-clock offset (time-zone hours crossed) is listed alongside distance as a compound fatigue indicator.

What weather conditions qualify as high-risk for this week?

Games are flagged when the kickoff-hour forecast meets at least one of: sustained wind ≥ 15 mph, gusts ≥ 25 mph, temperature ≤ 32°F or ≥ 95°F, or a precipitation chance ≥ 60%. Scores compound across all factors: a cold and windy game ranks higher than a mildly breezy one. Weeks with no game past these thresholds show no weather section at all.

What is a Home Field Advantage (HFA) rating?

Blue Chip's HFA rating estimates the point value of playing at home at a specific stadium, based on historical margin-of-victory data. A rating of 3.0 means the home team historically performs about 3 points better at that venue than their power ratings alone would predict.

What does the Vegas versus Prediction Markets section show?

It ranks games by how far the bookmaker's spread sits from the spread implied by the Kalshi prediction market. Kalshi's win probability is converted to a spread through a fixed logistic scale, and no model is involved - it is one market against another. A wide gap is a directional flag, not a betting recommendation.

What does the Model versus Market section show?

It sets the Blue Chip model line against both the bookmaker line and the Kalshi-implied line - a three-way read - and ranks games by the model's largest disagreement with either market. The size of each gap is described in the same language the per-game pages use. Both the model and the markets can be wrong: treat it as a directional flag, not a pick.

What qualifies as a notable ATS record?

Teams are flagged when at least 4 of their games this season have produced a decided ATS result and their cover rate is ≥60% (hot) or ≤40% (cold). Records are season-to-date and, especially early on, rest on small samples - a hot or cold streak here is context to note, not a demonstrated edge.

Week 0 of the 2025 season features 5 FBS games; the ranked sections above surface the travel, weather, HFA, market-vs-market, model-vs-market, and ATS-record edges most relevant to analysts and informed fans.