PGA Tour Golf

Poston, J.T. vs Putnam, Andrew Prediction

May 27, 2026

10,000 Monte Carlo simulations

Poston, J.T. vs Putnam, Andrew prediction for May 27, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects Putnam, Andrew 0 - Poston, J.T. 63. Poston, J.T. is favored with a 58.8% win probability. The spread is -0.07.

Putnam, Andrew
+0.00
Strokes Gained / Round
VS H2H • Charles Schwab Challenge
Poston, J.T.
+0.52
Strokes Gained / Round
Head-to-Head Win Probability
41.2%
58.8%
Putnam, AndrewPoston, J.T.
+100
Best Odds
+17.6%
Edge
1.5u ELITE
Sizing
FINALPutnam, Andrew (T17) def Poston, J.T. (T35)

Tournament Context

Event
Charles Schwab Challenge
Course
Colonial CC
Field
132 players
Wind
10 mph
Temp
86°F
Conditions
harder (+0.4)

Player Profile — Poston, J.T.

Strokes Gained
+0.52/round
Above Avg
Course Fit
excellent
+0.400 SG adj
Expected Finish
63th / 132

Matchup Analysis

Poston, J.T.
+0.52 SG
EF 63th
Skill Gap
-0.07 SG/round
essentially a coin flip
Putnam, Andrew
+0.00 SG
EF 0th · Tour Avg

Edge Breakdown

Our Model
58.8%
Books Say
50.0%
Edge
+17.6%

Poston, J.T. vs Putnam, Andrew: Model gives Poston, J.T. 58.8% win probability vs 50.0% implied (+17.6% edge). Expected finish: 63.

AI Intelligence Analysis

STRONG BET +1
Poston's positive course fit (+0.4) + modest baseline skill (0.522 SG) create a 16.6% ELITE-confidence edge; even-money odds offer closing-line value.

Key Factors

  • Model: 58.3% vs 50.0% implied (+16.6% edge)
  • Course fit: +0.4 (above-average Colonial advantage)
  • SG total: +0.522 (solid baseline)
  • Odds: 100 (even money, Pinnacle) = +EV at 58.3%

Risk Factors

  • Putnam is unknown (depth player); limited comp data
  • Baseline SG (0.522) is modest; fit is doing 40%+ of work
  • Tight odds leave limited upside
Sharp MoneyWith ModelEven money at 58.3% is clean EV; Pinnacle has this priced right in the middle.
ELITE CONFIDENCEEVEN MONEY VALUEFIT ADVANTAGE

Edge Analysis

Moneyline
Poston, J.T. 58.8%
+17.6 pts
Spread
-0.1
+17.6 pts
How this prediction was generated: This page shows output from the Olympus Bets PGA Tour Golf 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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