Home / NCAAF Projections NCAAF / Colgate @ Fordham COLG @ FOR

COLGATE

COLGATECOLG

1-0  |  Road

24
FINAL
Fri, Aug 28 • 6:00 PM ET
Moglia Stadium at Jack Coffey Field
View Odds Details →

FORDHAM

FORDHAMFOR

0-1  |  Home

14
AI Model Win Probability
COLGATE
4%
📊
FORDHAM
96%
COLGATE --
FORDHAM --
AI Model Projected Total
AI Projection
55.7
Projected
Book Total
--
Over / Under Line
Over 0 100%
Under 0 0%
AI Model Spread Expectation
AI Spread Proj
-32.7
FORDHAM
Book Spread
--
Book Line
▲ Edge: +32.7 points (Fordham)
ColgateCOLG (-3.5) 0 FordhamFOR (+3.5)
Model Expected Spread
Spread Distribution
AI Model

Colgate Cover

1.0%

Fordham Cover

99.0%

+42+28+140-14-28-42
Distribution centered around FOR -32.7 expected margin.
Margin of Victory (FOR)

COLG By 1-6 points

0.6%

COLG By 7-13 points

0.2%

FOR By 1-6 points

2.0%

FOR By 7-13 points

5.4%

AI Model Projected Score
11.5
COLGATE
44.2
FORDHAM
Simulated Score
11.5
COLGATE
44.2
FORDHAM
Projections Grades
Moneyline (ML)
Agreement
AI Fordham Loss
96% Win Prob
A
Sim Fordham Loss
65% Win Prob
C
Point Spread (ATS)
Agreement
AI Fordham (+8.5) Loss
Proj Spread: -32.7
A
Sim Fordham (+8.5) Loss
Proj Spread: -32.7
C
Over/Under (Total)
No Consensus
AI o55.5 Loss
Proj Total: 55.7
A
Sim o55.5 Win
Proj Total: 55.7
C
Head-to-Head History
Date Game Score
Aug 28, 2026 COLG @ FOR 24 - 14
Key Model Drivers
Total Yards (L5) +93.4% more
Fordham: 420.4 vs Colgate: 217.4
First Downs (L5) +67.0% more
Fordham: 20.2 vs Colgate: 12.1
Rushing Yards (L5) +27.2% more
Fordham: 137.3 vs Colgate: 107.9
Third Down Efficiency (L5) +9.0% more
Fordham: 0.3 vs Colgate: 0.3
Post-Mortem Analysis
Metric Projected Actual
Score Game
COLG Score 11.5 24
FOR Score 44.2 14
Public Market Splits
Moneyline
Open: -- → --
Public splits unavailable
Spread (ATS)
Open: -- → --
Public splits unavailable
Total (O/U)
Open: -- → --
Public splits unavailable
Season to Date Model Accuracy
AI Model
SIM Engine
FOR
COLG
FOR
COLG
ML
0% 0-1
0% 0-1
0% 0-1
0% 0-1
ATS
0% 0-1
0% 0-1
0% 0-1
0% 0-1
TTL
0% 0-1
0% 0-1
100% 1-0
100% 1-0
Accuracy:
Elite (>60%)
Good (53-60%)
Neutral (48-52%)
Under (43-47%)
Danger (≤42%)
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