Postseason of the 2025 season features 46 FBS games. California carries the week's biggest travel burden at 2,406 miles more than its opponent. 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.
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.
2,406 miles further · +2h body-clock shift · equal rest · neutral site
California travels 2,406 miles further than
Hawai'i to a neutral-site meeting, arriving with a +2h body-clock shift.
2,306 miles further · +3h body-clock shift · opponent +7d rest · neutral site
James Madison travels 2,306 miles further than
Oregon to a neutral-site meeting, arriving with a +3h body-clock shift.
1,787 miles further · -3h body-clock shift · equal rest · neutral site
Oregon travels 1,787 miles further than
Indiana to a neutral-site meeting, arriving with a -3h body-clock shift.
1,494 miles further · -2h body-clock shift · opponent +8d rest · neutral site
BYU travels 1,494 miles further than
Georgia Tech to a neutral-site meeting, arriving with a -2h body-clock shift.
1,292 miles further · -3h body-clock shift · opponent +15d rest · neutral site
Oregon travels 1,292 miles further than
Texas Tech to a neutral-site meeting, 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%.
25°F, 2 mph wind, Clear
UConn @
Army: 25°F, 2 mph wind, Clear: conditions historically favor the home team when passing difficulty is elevated.
43°F, 22 mph wind, Clear
Alabama @
Oklahoma: 43°F, 22 mph wind, Clear: conditions historically favor the home team when passing difficulty is elevated.
28°F, 5 mph wind, Cloudy
Tennessee @
Illinois: 28°F, 5 mph wind, Cloudy: 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.
HFA 0.0 pts · SoFi Stadium · 70,240 capacity
HFA 0.0 pts · Cramton Bowl · 21,000 capacity
HFA 0.0 pts · Camping World Stadium · 60,219 capacity
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: Northwestern -13.5 · Market: Northwestern -8.4 · Gap: 5.1 pts
The bookmaker line is
Northwestern -13.5; the prediction market implies
Northwestern -8.4, a notable divergence from the book. Two markets, no model - a wide gap is one side waiting to move.
Book: Pittsburgh -12.5 · Market: Pittsburgh -7.7 · Gap: 4.8 pts
The bookmaker line is
Pittsburgh -12.5; the prediction market implies
Pittsburgh -7.7, a notable divergence from the book. Two markets, no model - a wide gap is one side waiting to move.
Book: Oregon -20.5 · Market: Oregon -15.9 · Gap: 4.6 pts
The bookmaker line is
Oregon -20.5; the prediction market implies
Oregon -15.9, a notable divergence 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: Cincinnati -10.8 · Book: Navy -7.5 · Market: unavailable
The model makes it
Cincinnati -10.8. The bookmaker line is
Navy -7.5, a notable divergence from the model. Directional signal only.
Model: UTSA -16.2 · Book: UTSA -7.0 · Market: UTSA -5.2
The model makes it
UTSA -16.2. The bookmaker line is
UTSA -7.0, a notable divergence from the model; the prediction market implies
UTSA -5.2, a notable divergence from the model. Directional signal only.
Model: App State -0.3 · Book: Georgia Southern -10.0 · Market: Georgia Southern -7.3
The model makes it
App State -0.3. The bookmaker line is
Georgia Southern -10.0, a notable divergence from the model; the prediction market implies
Georgia Southern -7.3, 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 ·
11-2 ATS (85%) ·
home vs. Oregon
Texas Tech is hot ats this season, covering 11-2 (85%) ATS in 13 games. They play home vs.
Oregon this week.
Hot ATS ·
10-3 ATS (77%) ·
home vs. Iowa
Vanderbilt is hot ats this season, covering 10-3 (77%) ATS in 13 games. They play home vs.
Iowa this week.
How We Ranked Postseason'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.
Frequently Asked Questions
How many games are in college football Postseason 2025?
Postseason of the 2025 FBS season features 46 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.
Postseason of the 2025 season features 46 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.
13
Final
27
33
Final
20
26
Final
28
0
Final
84
14
Final
22
11
Final
44
35
Final
49
20
Final
31
7
Final
55
7
Final
41
13
Final
55
3
Final
59
45
Final
17
20
Final
28
24
Final
17
10
Final
54
31
Final
35
10
Final
24
10
Final
48
16
Final
22
48
Final
49
31
Final
41
0
Final
33
7
Final
49
.png)
31
Final
35
7
Final
48
14
Final
36
31
Final
21
36
Final
50
42
Final
35
17
Final
52
0
Final
55
15
Final
51
7
Final
35
0
Final
38
19
Final
36
41
Final
34
38
Final
35
21
Final
26
10
Final
16
20
Final
17
30
Final
24
0
Final
59
27
Final
31
30
Final
44
17
Final
27
48
Final
20
17
Final
59
36
Final
41
28
Final
21
44
Final
39
20
Final
27
0
Final
59
21
Final
45
16
Final
48
7
Final
34
10
Final
27
7
Final
41
41
Final
23
38
Final
27
35
Final
26
24
Final
32
6
Final
14
9
Final
42
6
Final
30
14
Final
21
0
Final
42
7
Final
31
24
Final
38
26
Final
13
31
Final
10
17
Final
42
@
@
@
