FINAL: Murray State 79 — UIC 92. Our Monte Carlo simulation projected Murray State 71.2 - UIC 70.4 (Murray State at 63.5% win probability). The spread is 4.0 and the total is 150.5.
Murray State
71.2
Projected Score
VS
O/U 150.5
UIC
70.4
Projected Score
Win Probability
Murray StateUIC
+4.0
Spread (Murray State)
150.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 70.9% (4,284 games)
Projected Points Range 10th – 90th percentile
UIC
587083
Murray State
587184
Projected
Murray State 71.2 — UIC 70.4
Actual
Murray State 79 — UIC 92
Pick Results
Murray State MLmlLOSS-1.00u
Spread Analysis
Murray State Cover
60.4%
UIC Cover
39.6%
ATS Edge: +2.5 pts
AI Intelligence Analysis
LEAN +1GREEN ZONE78.1% WR (n=73)
Murray State is a home team at 64.2% win probability with only a -1.0 market spread (coin-flip line) — model projects a 4.1pt home win vs market near-pick'em, creating 3.1pt spread edge, and the home favorite GREEN zone supports the directional call at -112 ML.
Key Factors
- ML value: Murray State -112 vs model 64.2% win prob = +11.3pt positive prob edge at near-pick'em odds
- Zone: CBB|ml|home|favorite|5-10%|60-65% = 78.1% WR (73 bets, z=4.80) — GREEN zone
- Spread edge: model -4.1 vs market -1.0 = 3.1pt edge — model sees more separation than market
- BPR: Murray State 72.9 vs UIC 68.8 = 4.1pt quality advantage (moderate)
- OVC Tournament context: Murray State at home, elevated motivation
Risk Factors
- High edge warning: +11.3pt prob edge — moderate risk this means model is overrating Murray State
- OVC tournament: UIC may have motivated upset potential in single-elimination
- Market pricing this as a near-coin-flip suggests market has information not in BPR (recent form, injuries)
GREEN ZONEML VALUEDIRECTION CONFIRMED
Edge Analysis
Moneyline
Murray State 63.5%
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Spread
+4.0
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Total
150.5
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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 →