College Basketball

Temple vs Florida Atlantic Prediction

March 11, 2026

10,000 Monte Carlo simulations

FINAL: Florida Atlantic 63 — Temple 59. Our Monte Carlo simulation projected Florida Atlantic 81.4 - Temple 81.2 (Temple at 52.0% win probability). The spread is -1.5 and the total is 144.5.

Florida Atlantic
81.4
Projected Score
VS O/U 144.5
Temple
81.2
Projected Score
Win Probability
48.0%
52.0%
Florida AtlanticTemple
-1.5
Spread (Florida Atlantic)
144.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.1% (4,284 games)

Projected Points Range 10th – 90th percentile

Temple
688194
Florida Atlantic
688195
FINALFlorida Atlantic 63 — Temple 59
Projected
Florida Atlantic 81.4 — Temple 81.2
Actual
Florida Atlantic 63 — Temple 59

Pick Results

Over 144.5totalLOSS-1.50u

Spread Analysis

Florida Atlantic Cover
43.0%
Temple Cover
57.0%
ATS Edge: -2.7 pts

AI Intelligence Analysis

NEUTRAL -1RED ZONE22.8% WR (n=79)
The model shows a near-perfect coin flip (49% FAU vs 51% Temple) but FAU is listed as a -2 home favorite — the model's directional call actually favors Temple (away underdog), and HOME UNDERDOG zone is RED, making this a skip.

Key Factors

  • Model projects 51% Temple / 49% FAU — pure coin flip with no directional conviction
  • Market has FAU at -2 (home favorite) but model marginally disagrees — weak contrary signal
  • Total edge +18.8 pts (163.3 vs 144.5) — another systematic totals overestimate
  • No ML odds available — cannot price either side

Risk Factors

  • Coin-flip game with no BPR conviction — margin error could easily flip the directional call
  • Temple as away underdog is a RED zone profile — 18.2% WR for away underdogs overall
  • No ML odds to evaluate market-implied probability
MODEL MARKET CONFLICTCONFERENCE GAMETOTALS VALUE

Edge Analysis

Moneyline
Temple 52.0%
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Spread
-1.5
--
Total
144.5
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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 →

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