FINAL: Florida International 67 — Middle Tennessee 73. Our Monte Carlo simulation projected Florida International 70.4 - Middle Tennessee 66.4 (Florida International at 66.0% win probability). The spread is -2.5 and the total is 154.5.
Florida International
70.4
Projected Score
VS
O/U 154.5
Middle Tennessee
66.4
Projected Score
Win Probability
Florida InternationalMiddle Tennessee
-2.5
Spread (Florida International)
154.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 71.8% (4,284 games)
Projected Points Range 10th – 90th percentile
Middle Tennessee
536680
Florida International
577084
Projected
Florida International 70.4 — Middle Tennessee 66.4
Actual
Florida International 67 — Middle Tennessee 73
Pick Results
Florida International MLmlLOSS-0.50u
Spread Analysis
Florida International Cover
62.9%
Middle Tennessee Cover
37.1%
ATS Edge: +2.6 pts
AI Intelligence Analysis
LEAN +1GREEN ZONE78.1% WR (n=73)
Florida International is a credible home favorite (BPR 70.9 vs 65.7 = +5.2pt gap, 66.7% win prob) with the home|favorite|5-10%|60-65% zone at GREEN 78.1% WR — the -148 ML is accessible and the direction is confirmed by both BPR and model.
Key Factors
- BPR gap: FIU 70.9 vs Middle Tennessee 65.7 = +5.2pts (moderate edge, at our coin-flip boundary)
- Model win prob: 66.7% vs market implied 59.7% (-148 ML) = +7.0% probability edge
- Zone: CBB|ml|home|favorite|5-10%|60-65% — GREEN, 78.1% WR, 73 bets, z=4.8
- Spread edge: 2.7pts (model -5.2 vs market -2.5) — confirms direction
- Edge bucket 5-10% recent: 23-9, 71.9% WR (30 days) — hottest bucket
Risk Factors
- BPR gap only 5.2pts — right at coin-flip threshold; genuine 1/3 chance Middle Tennessee wins
- CUSA conference game — market likely has solid information on both teams
- Home ML recent 30d: 6-7, 46.2% — below average profile
GREEN ZONEML VALUEDIRECTION CONFIRMED
Edge Analysis
Moneyline
Florida International 66.0%
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Spread
-2.5
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Total
154.5
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How this prediction was generated: This page shows output from the Olympus Bets College Basketball Monte Carlo engine. Each game is simulated 10,000 times using real-time team data, injury reports, and current odds. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →