OAK vs PHI prediction for May 6, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects PHI 3.6 - OAK 3.7. PHI is favored with a 51.0% win probability. The run line is -1.5 and the total is 8.5. Model projects 7.3 total runs.
PHI
3.6
Projected Score
VS
O/U 8.5
OAK
3.7
Projected Score
Win Probability
PHIOAK
-1.5
Run Line (PHI)
8.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 53.6% (2,040 games)
Projected Runs Range 10th – 90th percentile
OAK
246
PHI
246
Projected
PHI 3.6 — OAK 3.7
Actual
PHI 6 — OAK 3
Starting Pitcher Matchup
Jeffrey Springs L
OAK
FF43%91 mph14% whiff
SL24%83 mph28% whiff
CH20%79 mph48% whiff
Zack Wheeler R
PHI
FF40%96 mph27% whiff
SI17%95 mph12% whiff
ST15%84 mph41% whiff
Weather Impact
Citizens Bank Park
70°F12 mph wind
HR: 0.961 Total: 0.975
12mph in
Bullpen Comparison
OAK
4.43ERA
4.56FIP
8.71K/9
4.72BB/9
1.45WHIP
PHI
4.19ERA
3.36FIP
9.53K/9
3.53BB/9
1.40WHIP
Betting Edges
RUN_LINE AWAY +1.5
-33.1% EV
-143
TOTAL OVER 8.5
-26.2% EV
-104
RUN_LINE HOME -1.5
-22.6% EV
+118
ML HOME
-15.4% EV
-172
TOTAL UNDER 8.5
+15.3% EV
-118
F5_ML HOME
-14.8% EV
-167
First 5 Innings & NRFI
OAK F5
1.8 runs
39.5% win
PHI F5
1.9 runs
41.3% win
F5 Total
3.8
NRFI
61.1%
YRFI
38.9%
Avg 1st Inn Runs
0.77
HR Spotlight
Avg HRs
2.1
Over 0.5 HR
88%
Over 1.5 HR
61%
No HR
12%
Kyle Schwarber PHI30.0%
ISO: 0.207 | Barrel: 17.8% | vs Jeffrey Springs | Park: 1.02x
Bryce Harper PHI30.0%
ISO: 0.236 | Barrel: 16.4% | vs Jeffrey Springs | Park: 1.02x
Nick Kurtz OAK26.9%
ISO: 0.237 | Barrel: 8.2% | vs Zack Wheeler | Park: 1.02x Platoon: 1.12x
Pitcher Strikeout Projections
Jeffrey Springs
0.0 K projected
OAK | K/9: 0.0
Zack Wheeler
0.0 K projected
PHI | K/9: 0.0
Injury Report
OAK4 injured
Max Muncy 3B10-DAY-IL
Gunnar Hoglund SP60-DAY-IL
Denzel Clarke CF10-DAY-IL
Shea Langeliers CPATERNITY
PHI8 injured
Christian McGowan RPDAY-TO-DAY
Rene Pinto CDAY-TO-DAY
Max Lazar RP60-DAY-IL
Kyle Backhus RP15-DAY-IL
Zach Pop RP15-DAY-IL
Daniel Robert RPDAY-TO-DAY
+2 more
AI Intelligence Analysis
LEAN +1YELLOW ZONE46.5% WR (n=141)
Away underdog OAK shows 13.3% ML edge (46.4% model prob vs 41.0% market implied). SP advantage strongly favors home PHI: Wheeler 2.65 ERA (B+ grade, 32.8% K) vs Springs 4.28 ERA (B grade, 23.4% K) = 1.63 ERA gap. Market prices PHI at -172 (63.2% implied) which severely underweights the home SP advantage. Model projects OAK 46.4% away (true underdog odds) vs market 41.0%, implying 5.4% of edge comes from bullpen/park factors. PHI bullpen is weak (4.19 relief ERA, 5.5 closer ERA), while OAK is middle-tier (4.43 ERA). Away underdog value in a high-edge scenario.
Key Factors
- SP quality mismatch: Wheeler 2.65 ERA / 32.8% K (B+ ace) vs Springs 4.28 ERA / 23.4% K (B solid) = 1.63 ERA gap favoring PHI, but market overweights (expects 70%+ PHI prob).
- Away underdog value: OAK +144 (45.9% implied by market) vs 46.4% model = subtle edge but rooted in bullpen/park science.
- PHI bullpen weakness: 4.19 relief ERA (below-average), 5.5 closer ERA (vulnerable in close games). Limits PHI's back-end advantage.
- Performance profile: Away ML plays show 60.7% WR last 30 days (best profile on slate). Underdog MLs 83.3% WR (small sample), both supporting lean.
Risk Factors
- Edge 13.3% exceeds calibration max (12%) for ML. Model could be overconfident. Recommend cap confidence at +1 (LEAN) rather than +2 (BET).
- Away ML zone 46.5% WR (YELLOW, n=141) is below 50% breakeven. Suggests away MLs underperform historically despite recent hot streak.
- Injury uncertainty: Check if PHI/OAK have lineup changes today. Springs on short rest (uncertain). Wheeler fresh.
AWAY UNDERDOG VALUE (+144 OAK, model 46.4% vs market 41.0%)SP MISMATCH (Wheeler 2.65 ERA vs Springs 4.28, but market overweights)HIGH EDGE WARNING (13.3% edge exceeds 12% calibration cap for ML)BULLPEN WEAKNESS (PHI 4.19 relief ERA limits advantage)AWAY ML STRONG PROFILE (60.7% WR, 65.9% away fav combo)LEAN NOT BET (due to edge exceeding cap)
Edge Analysis
Moneyline
PHI 51.0%
-22.6 pts
Run Line
-1.5
-22.6 pts
Total
8.5
+15.3 pts
How this prediction was generated: This page shows output from the Olympus Bets MLB Baseball 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 →