College Football Week 4 - 2026

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Week 4 of the 2026 season features 71 FBS games. Hawai'i carries the week's biggest travel burden at 3,325 miles more than its opponent. SMU 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 detailed weather forecasts for every game this week.

Date Away @ Home Away Power Home Power HFA Power Line Line O/U Line Implied Score
Sep 24
7:30 PM
Liberty @ Coastal Carolina -7.9 -11.3 2.5 Liberty -0.9 - - -
Sep 25
4:00 PM
Army @ Temple -1.4 -10.7 3.3 Army -6.0 - - -
Sep 25
6:00 PM
Navy @ UAB 3.2 -15.4 2.8 Navy -15.8 - - -
Sep 25
7:00 PM
Howard @ Rutgers -29.6 -0.5 1.9 Rutgers -31.0 - - -
Sep 25
8:00 PM
Northwestern @ Indiana 3.5 27.6 2.6 Indiana -26.7 - - -
Sep 25
7:30 PM
Clemson @ California 10.2 0.9 2.6 Clemson -6.7 - - -
Sep 25
11:00 PM
South Carolina @ Alabama 10.2 19.2 3.5 Alabama -12.5 - - -
Sep 26
12:00 AM
Central Arkansas @ Florida State -30.8 8.7 3.0 Florida State -42.5 - - -
Sep 26
12:00 AM
Ole Miss @ Florida 20.2 11.5 3.6 Ole Miss -5.1 - - -
Sep 26
12:00 AM
Delaware @ Virginia -15.2 6.7 1.7 Virginia -23.6 - - -
Sep 25
11:00 PM
Missouri State @ SMU -15.7 12.8 3.8 SMU -32.3 - - -
Sep 26
12:00 AM
Virginia Tech @ Boston College 2.5 -5.7 2.4 Virginia Tech -5.8 - - -
Sep 26
12:00 AM
Wake Forest @ Louisville 3.8 11.6 3.3 Louisville -11.1 - - -
Sep 26
12:00 AM
UCLA @ Maryland 2.6 1.7 2.3 Maryland -1.3 - - -
Sep 26
12:00 AM
Iowa @ Michigan 14.7 17.2 1.9 Michigan -4.4 - - -
Sep 26
12:00 AM
Nebraska @ Michigan State 6.9 -1.1 1.4 Nebraska -6.6 - - -
Sep 26
12:00 AM
Illinois @ Ohio State 10.8 32.2 3.0 Ohio State -24.4 - - -
Sep 26
12:00 AM
Wisconsin @ Penn State 4.7 19.5 2.1 Penn State -16.9 - - -
Sep 26
12:00 AM
Notre Dame @ Purdue 26.7 -5.1 1.9 Notre Dame -29.9 - - -
Sep 25
9:00 PM
Oregon @ USC 29.4 16.8 3.1 Oregon -9.5 Oregon -5.5 58.5 32–26
Sep 25
9:00 PM
Minnesota @ Washington 5.6 15.5 3.5 Washington -13.4 - - -
Sep 25
11:00 PM
Sam Houston @ Texas Tech -24.1 20.9 2.8 Texas Tech -47.8 - - -
Sep 25
11:00 PM
Colorado State @ UTSA -13.8 1.4 3.8 UTSA -19.0 - - -
Sep 26
12:00 AM
San Diego State @ Toledo -1.1 -1.6 2.9 Toledo -2.4 - - -
Sep 25
11:00 PM
Missouri @ Mississippi State 12.8 3.5 1.3 Missouri -8.0 - - -
Sep 26
12:00 AM
Boise State @ Western Michigan 5.2 -4.0 2.5 Boise State -6.7 - - -
Sep 26
12:00 AM
Louisiana @ Charlotte -8.9 -24.3 1.1 Louisiana -14.3 - - -
Sep 25
11:00 PM
Texas A&M @ LSU 19.9 16.8 3.0 Texas A&M -0.1 LSU -3.0 57.5 28–30
Sep 25
11:00 PM
Florida Atlantic @ UL Monroe -9.9 -19.4 3.3 Florida Atlantic -6.2 - - -
Sep 26
12:00 AM
Oklahoma @ Georgia 18.1 25.7 2.5 Georgia -10.1 Georgia -10.0 52.5 21–31
Sep 26
12:00 AM
Houston @ Georgia Southern 6.7 -9.9 3.4 Houston -13.2 - - -
Sep 25
11:00 PM
Southern Miss @ Tulane -15.7 2.1 2.7 Tulane -20.5 - - -
Sep 26
12:00 AM
UNLV @ Akron -0.7 -19.3 2.1 UNLV -16.5 - - -
Sep 26
12:00 AM
UConn @ Miami (OH) -9.0 -5.3 2.5 Miami (OH) -6.2 - - -
Sep 26
12:00 AM
Ball State @ Kent State -22.1 -18.7 2.4 Kent State -5.8 - - -
Sep 26
12:00 AM
App State @ NC State -12.6 6.5 3.4 NC State -22.5 - - -
Sep 26
12:00 AM
South Florida @ Bowling Green 2.3 -16.3 0.8 South Florida -17.8 - - -
Sep 25
11:00 PM
Vanderbilt @ Auburn 12.1 10.9 1.3 Auburn -0.1 - - -
Sep 26
12:00 AM
Northern Illinois @ Georgia State -15.6 -18.6 1.3 Northern Illinois -1.7 - - -
Sep 25
11:00 PM
Colorado @ Baylor -0.5 3.1 1.9 Baylor -5.5 - - -
Sep 26
12:00 AM
Kansas State @ Cincinnati 10.8 5.0 2.8 Kansas State -3.1 - - -
Sep 26
12:00 AM
TCU @ UCF 9.4 0.6 3.2 TCU -5.6 - - -
Sep 25
11:00 PM
Utah @ Iowa State 16.7 5.2 2.9 Utah -8.6 - - -
Sep 26
12:00 AM
Oklahoma State @ West Virginia -3.0 -2.7 2.5 West Virginia -2.8 - - -
Sep 25
9:00 PM
Massachusetts @ Sacramento State -32.4 -24.5 2.5 Sacramento State -10.4 - - -
Sep 25
9:00 PM
Air Force @ Nevada -5.4 -15.5 2.1 Air Force -8.0 - - -
Sep 26
12:00 AM
James Madison @ Old Dominion 4.6 2.0 2.3 James Madison -0.3 - - -
Sep 26
12:00 PM
Texas @ Tennessee 22.2 15.8 2.9 Texas -3.5 - - -
Sep 26
12:00 PM
Bucknell @ Pittsburgh -28.0 7.2 2.5 Pittsburgh -37.8 - - -
Sep 26
12:45 PM
South Alabama @ Kentucky -10.8 3.9 2.7 Kentucky -17.4 - - -
Sep 26
1:00 PM
Lindenwood @ Eastern Michigan -32.0 -16.5 1.5 Eastern Michigan -17.0 - - -
Sep 26
1:00 PM
Hawai'i @ Wyoming -6.3 -12.2 3.3 Hawai'i -2.6 - - -
Sep 26
3:30 PM
Gardner-Webb @ Marshall -20.2 -6.0 1.9 Marshall -16.1 - - -
Sep 26
1:30 PM
New Mexico @ New Mexico State -4.1 -18.1 2.2 New Mexico -11.8 - - -
Sep 26
3:30 PM
Robert Morris @ Buffalo -34.4 -14.4 2.3 Buffalo -22.3 - - -
Sep 26
3:30 PM
Stonehill @ Ohio 1.0 -4.8 3.3 Stonehill -2.5 - - -
Sep 26
3:30 PM
William & Mary @ Duke -20.4 5.2 2.8 Duke -28.4 - - -
Sep 26
4:00 PM
North Carolina Central @ East Carolina -17.6 0.3 2.4 East Carolina -20.3 - - -
Sep 26
6:00 PM
Long Island University @ Florida International -29.2 -12.7 2.2 Florida International -18.7 - - -
Sep 26
5:00 PM
Incarnate Word @ Texas State -17.6 -2.2 2.9 Texas State -18.3 - - -
Sep 26
6:30 PM
Central Michigan @ Miami -10.7 21.6 1.6 Miami -33.9 - - -
Sep 26
6:00 PM
Kennesaw State @ Arkansas State -11.1 -9.0 3.1 Arkansas State -5.2 - - -
Sep 26
6:00 PM
Middle Tennessee @ Jacksonville State -20.2 -7.5 2.5 Jacksonville State -15.2 - - -
Sep 26
6:00 PM
Mercyhurst @ Western Kentucky 1.0 -5.5 2.6 Mercyhurst -3.9 - - -
Sep 26
6:30 PM
Houston Christian @ North Texas -30.4 -0.3 2.8 North Texas -32.9 - - -
Sep 26
4:30 PM
Arizona @ Washington State 8.9 0.8 2.3 Arizona -5.8 - - -
Sep 26
5:30 PM
Troy @ Utah State -7.1 -6.3 2.9 Utah State -3.7 - - -
Sep 26
7:00 PM
Tulsa @ Arkansas -11.8 5.2 0.8 Arkansas -17.8 - - -
Sep 26
7:00 PM
Oregon State @ UTEP -9.5 -20.8 2.5 Oregon State -8.9 - - -
Sep 26
7:00 PM
Rice @ Fresno State -15.3 -3.9 2.5 Fresno State -13.9 - - -
Sep 26
7:30 PM
Georgia Tech @ Stanford 6.5 -6.0 2.4 Georgia Tech -10.1 - - -

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.

#1 Hawai'i
3,325 miles · -4h body-clock shift · +6d rest edge
Hawai'i travels 3,325 miles to face Wyoming, arriving with a -4h body-clock shift.
2,554 miles · +3h body-clock shift · +1d rest edge
Massachusetts travels 2,554 miles to face Sacramento State, arriving with a +3h body-clock shift.
#3 UCLA
2,297 miles · -3h body-clock shift · opponent +1d rest
UCLA travels 2,297 miles to face Maryland, arriving with a -3h body-clock shift.
#4 Clemson
2,195 miles · +3h body-clock shift · equal rest
Clemson travels 2,195 miles to face California, arriving with a +3h body-clock shift.
2,127 miles · +3h body-clock shift · equal rest
Georgia Tech travels 2,127 miles to face Stanford, arriving with a +3h 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%.

70°F, 3 mph wind, 74% precip, Patchy rain nearby
Delaware @ Virginia: 70°F, 3 mph wind, 74% precip, Patchy rain nearby: 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 SMU
HFA 3.8 pts · Gerald J. Ford Stadium · 32,000 capacity
SMU carries a 3.8-point HFA edge at Gerald J. Ford Stadium (32,000 capacity) against Missouri State.
#2 UTSA
HFA 3.8 pts · Alamodome · 64,000 capacity
UTSA carries a 3.8-point HFA edge at Alamodome (64,000 capacity) against Colorado State.
#3 Florida
HFA 3.6 pts · Ben Hill Griffin Stadium · 88,548 capacity
Florida carries a 3.6-point HFA edge at Ben Hill Griffin Stadium (88,548 capacity) against Ole Miss.

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.

#1 Oregon @ USC
Model: Oregon -9.3 · Book: Oregon -5.5 · Market: unavailable
The model makes it Oregon -9.3. The bookmaker line is Oregon -5.5, a notable divergence from the model. Directional signal only.
#2 Texas A&M @ LSU
Model: LSU -0.1 · Book: LSU -3.0 · Market: unavailable
The model makes it LSU -0.1. The bookmaker line is LSU -3.0, a notable divergence from the model. Directional signal only.
Model: Georgia -10.1 · Book: Georgia -10.0 · Market: unavailable
The model makes it Georgia -10.1. The bookmaker line is Georgia -10.0, in line with the model. Directional signal only.

When to Skip This Week 4 Analysis

How We Ranked Week 4'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 4 2026?

Week 4 of the 2026 FBS season features 71 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 4 of the 2026 season features 71 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.