WSH vs BOS prediction for June 30, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects BOS 5.0 - WSH 5.9. WSH is favored with a 55.5% win probability. The run line is -1.5 and the total is 9.5. Model projects 10.9 total runs.
BOS
5.0
Projected Score
VS
O/U 9.5
WSH
5.9
Projected Score
Win Probability
BOSWSH
-1.5
Run Line (BOS)
9.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 55.6% (2,559 games)
Projected Runs Range 10th – 90th percentile
WSH
468
BOS
357
Projected
BOS 5.0 — WSH 5.9
Actual
BOS 1 — WSH 8
Starting Pitcher Matchup
Cade Cavalli R
WSH
FF35%96 mph17% whiff
KC29%85 mph38% whiff
SI16%96 mph10% whiff
Connelly Early L
BOS
FF36%94 mph22% whiff
SI20%92 mph10% whiff
CH18%84 mph22% whiff
Weather Impact
Fenway Park
82°F12 mph wind
HR: 0.992 Total: 0.993
7mph in
Bullpen Comparison
WSH
4.62ERA
4.93FIP
7.77K/9
4.06BB/9
1.38WHIP
BOS
3.90ERA
4.18FIP
9.00K/9
3.45BB/9
1.30WHIP
Betting Edges
RUN_LINE AWAY +1.5
-25.7% EV
-182
RUN_LINE HOME -1.5
-18.9% EV
+150
F5_ML HOME
-18.1% EV
-123
ML HOME
-17.4% EV
-133
TOTAL UNDER 9.5
-16.4% EV
-122
ML AWAY
+13.0% EV
+114
First 5 Innings & NRFI
WSH F5
3.3 runs
49.8% win
BOS F5
2.8 runs
37.3% win
F5 Total
6.1
NRFI
48.0%
YRFI
52.0%
Avg 1st Inn Runs
1.24
HR Spotlight
Avg HRs
2.8
Over 0.5 HR
93%
Over 1.5 HR
75%
No HR
7%
James Wood WSH30.0%
ISO: 0.228 | Barrel: 16.0% | vs Connelly Early | Park: 1.08x
Curtis Mead WSH30.0%
ISO: 0.230 | Barrel: 13.2% | vs Connelly Early | Park: 1.08x Platoon: 1.12x
Dylan Crews WSH30.0%
ISO: 0.174 | Barrel: 8.1% | vs Connelly Early | Park: 1.08x Platoon: 1.12x
Pitcher Strikeout Projections
Cade Cavalli
0.0 K projected
WSH | K/9: 0.0
Connelly Early
0.0 K projected
BOS | K/9: 0.0
Injury Report
WSH8 injured
Mitchell Parker RP15-DAY-IL
Richard Lovelady RP15-DAY-IL
Travis Sykora SPDAY-TO-DAY
Trevor Williams SP60-DAY-IL
Jake Irvin SP15-DAY-IL
DJ Herz SP60-DAY-IL
+2 more
BOS8 injured
Patrick Sandoval SP60-DAY-IL
Roman Anthony LF60-DAY-IL
Jovani Moran RP15-DAY-IL
Isiah Kiner-Falefa 2B10-DAY-IL
Marcelo Mayer 2B10-DAY-IL
Garrett Crochet SP60-DAY-IL
+2 more
AI Intelligence Analysis
LEAN +1YELLOW ZONE50.2% WR (n=5)
Cavalli (WSH, 4.32 Bayesian ERA, 8.0 K/9, B- 53%) vs Connelly Early (BOS, 3.88 Bayesian ERA, 8.0 K/9, B- 46.2%). Model favors WSH away at 52.8% (13.0% edge over -114 market). Early is slightly better ERA (3.88 vs 4.32) but both grade B-. ZONE: Away ML 13% edge is YELLOW (50.2% WR, n=5, small sample) but combo zone MLB|ml|any|away is RED (40.7% WR, n=82) — AWAY ML is historically money pit. CONFLICT: Model says WSH away +13% edge, but away ML zone is RED. SKIP CALIBRATION backs this: Away/underdog combos weak historically. RESOLUTION: This is margin call situation. Market -133 BOS implies 57.1% BOS, model says 47.2% BOS = 10pp gap in BOS favor. Cavalli (4.32 ERA) vs Early (3.88 ERA) = 0.44 ERA gap = ~2-3 wins better for Early over full season, not enough to justify 10pp market gap. LEAN on WSH away at +114 (0.5 units) despite away ML zone concerns. Fenway (0.992 HR mult, wind 12.4 mph in, 7.1 mph in-field) suppresses runs slightly.
Key Factors
- Early (BOS, 3.88 ERA, 8.0 K/9) vs Cavalli (WSH, 4.32 ERA, 8.0 K/9) = 0.44 ERA gap (minimal, ~2-3% WP)
- Market pricing BOS -133 (57.1% implied) vs model 47.2% = 10pp overvaluation of home field
- Fenway wind blowing in (12.4 mph, 7.1 mph in) suppresses runs — totals edge for BOS
- WSH offers +114 underdog value (model 52.8%, market 46.7%)
Risk Factors
- AWAY ML historically RED zone (40.7% WR, n=82) — picking away dogs is money pit
- Sharp money moving toward BOS (-133) against model — suggests sharp syndicates see BOS value
- BOS bullpen adequate (3.9 ERA) vs WSH mediocre (4.62 ERA) — relief advantage BOS
AWAY ML RED ZONESHARP MONEY AGAINSTLINE MOVEMENT BOS FAVORITEUNDERDOG VALUE WEAK BUT PRESENTCAUTION ZONE
Edge Analysis
Moneyline
WSH 55.5%
-18.9 pts
Run Line
-1.5
-18.9 pts
Total
9.5
+8.1 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. Probabilities are calibrated using Bayesian methods and sized via the Kelly Criterion. Full methodology →