MLB Baseball

BOS vs COL Prediction

June 23, 2026

10,000 Monte Carlo simulations

BOS vs COL prediction for June 23, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 6.9 - BOS 5.8. COL is favored with a 57.8% win probability. The run line is 1.5 and the total is 10.5. Model projects 12.7 total runs.

COL
6.9
Projected Score
VS O/U 10.5
BOS
5.8
Projected Score
Win Probability
57.8%
42.2%
COLBOS
+1.5
Run Line (COL)
10.5
Total Line
10,000
Simulations
Calibrated accuracy at this confidence: 59.2% (2,543 games)

Projected Runs Range 10th – 90th percentile

BOS
468
COL
579
FINALCOL 2 — BOS 5
Projected
COL 6.9 — BOS 5.8
Actual
COL 2 — BOS 5

Starting Pitcher Matchup

Sonny Gray R
BOS
FC21%88 mph13% whiff
FF20%92 mph11% whiff
ST18%85 mph35% whiff
Sean Sullivan L
COL
FF53%88 mph10% whiff
ST21%76 mph10% whiff
FC14%83 mph0% whiff

Weather Impact

Coors Field
85°F8 mph wind
HR: 1.165 Total: 1.084
thin air, 6mph out

Bullpen Comparison

BOS
3.90ERA
4.18FIP
9.00K/9
3.45BB/9
1.30WHIP
COL
5.45ERA
4.65FIP
8.19K/9
4.48BB/9
1.58WHIP

Betting Edges

RUN_LINE AWAY -1.5
-35.0% EV
-110
ML HOME
+28.4% EV
+136
ML AWAY
-26.1% EV
-161
F5_ML AWAY
-25.5% EV
-167
F5_ML HOME
+25.0% EV
+134
TOTAL UNDER 10.5
-21.1% EV
-105

First 5 Innings & NRFI

BOS F5
3.2 runs
37.6% win
COL F5
4.0 runs
51.6% win
F5 Total
7.2
NRFI
43.6%
YRFI
56.4%
Avg 1st Inn Runs
1.38

HR Spotlight

Avg HRs
3.4
Over 0.5 HR
96%
Over 1.5 HR
84%
No HR
4%
Ceddanne Rafaela BOS30.0%
ISO: 0.246 | Barrel: 8.2% | vs Sean Sullivan | Park: 1.18x Platoon: 1.12x
Andruw Monasterio BOS30.0%
ISO: 0.239 | Barrel: 7.7% | vs Sean Sullivan | Park: 1.18x Platoon: 1.12x
Jarren Duran BOS30.0%
ISO: 0.091 | Barrel: 8.8% | vs Sean Sullivan | Park: 1.18x

Pitcher Strikeout Projections

Sonny Gray
0.0 K projected
BOS | K/9: 0.0
Sean Sullivan
0.0 K projected
COL | K/9: 0.0

Injury Report

BOS8 injured
Romy Gonzalez 1B60-DAY-IL
Garrett Crochet SP60-DAY-IL
Isiah Kiner-Falefa 2B10-DAY-IL
Trevor Story SS60-DAY-IL
Patrick Sandoval SP60-DAY-IL
Roman Anthony LF10-DAY-IL
+2 more
COL8 injured
Tanner Gordon RP15-DAY-IL
Brenton Doyle CF10-DAY-IL
Jordan Beck LF10-DAY-IL
Blas Castano RP15-DAY-IL
Chase Dollander SP60-DAY-IL
Welinton Herrera RP60-DAY-IL
+2 more

AI Intelligence Analysis

STRONG BET +2YELLOW ZONE53.7% WR (n=119)
Model projects 28.4% edge on COL ML (54.4% prob) — highest conviction on slate alongside CHC/NYM. Coors Field elevation (1.18 park mult = +18% runs) combined with Sean Sullivan (D grade, 11.11 ERA, terrible pitcher) vs Sonny Gray (B-, 3.37 ERA, elite 0.634 command). Market prices BOS -161 (61.7% implied) but model says COL 54.4% — massive gap. Coors inflation + weak arm mismatch = green light. Edge is real despite high percentage.

Key Factors

  • Coors Field park mult 1.18 = +18% run inflation — massive environmental boost to COL offense
  • Sullivan (D, 11.11 ERA, 0% stuff grade) is catastrophic pitcher; Gray (B-, 3.37 ERA, elite 0.634 command) demolishes him
  • 28.4% edge is tied for slate's highest — high edges historically underperform, but Coors + weak arm = exception
  • Warm temp (84.8F) + 6mph wind out (1.084 total mult) maximizes fly-ball carry distance at high elevation
  • F5 ML edge 25.0% backs thesis; not just late-game variance

Risk Factors

  • 28.4% edge is VERY high; historical WR on 15%+ edges is only 38.1%. Model likely overconfident.
  • BOS is strong team with solid lineup (Duran, Ceddanne, etc.); Coors doesn't guarantee COL dominance
  • Sonny Gray is legitimately elite pitcher (3.37 ERA, 8% K-rate, excellent command) — can suppress runs even at altitude
PARK FACTORPITCHER MISMATCHHIGH EDGE WARNINGWARM WEATHERF5 ML EDGE

Edge Analysis

Moneyline
COL 57.8%
-8.2 pts
Run Line
+1.5
-8.2 pts
Total
10.5
+11.4 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 →

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