SD vs COL prediction for April 22, 2026: Our Monte Carlo simulation ran 10,000 game iterations and projects COL 4.3 - SD 4.6. SD is favored with a 51.1% win probability. The run line is 1.5 and the total is 12.0. Model projects 8.9 total runs.
COL
4.3
Projected Score
VS
O/U 12.0
SD
4.6
Projected Score
Win Probability
COLSD
+1.5
Run Line (COL)
12.0
Total Line
10,000
Simulations
SD W4COL L5
Calibrated accuracy at this confidence: 53.6% (2,040 games)
Projected Runs Range 10th – 90th percentile
SD
357
COL
246
Pick Results
Fernando Tatis Jr. OVER 0.5 Strikeoutsbatter_ksWIN+1.11u
Starting Pitcher Matchup
Walker Buehler R
SD
FF19%93 mph11% whiff
FC18%90 mph19% whiff
KC18%77 mph36% whiff
Tomoyuki Sugano R
COL
FF27%92 mph21% whiff
FS23%87 mph33% whiff
FC16%89 mph22% whiff
Weather Impact
Coors Field
77°F16 mph wind
HR: 1.039 Total: 1.017
thin air, 16mph in
Bullpen Comparison
SD
3.23ERA
3.31FIP
8.37K/9
3.64BB/9
1.27WHIP
COL
3.76ERA
4.15FIP
9.27K/9
3.73BB/9
1.33WHIP
Betting Edges
TOTAL OVER 12.0
-48.1% EV
-120
TOTAL UNDER 12.0
+37.0% EV
-102
NRFI NRFI
+28.5% EV
+154
F5 UNDER 6.5
+27.7% EV
-108
RUN_LINE HOME +1.5
-27.6% EV
-111
RUN_LINE AWAY -1.5
-21.7% EV
-108
First 5 Innings & NRFI
SD F5
2.5 runs
42.9% win
COL F5
2.5 runs
42.6% win
F5 Total
5.1
NRFI
54.3%
YRFI
45.7%
Avg 1st Inn Runs
0.96
HR Spotlight
Avg HRs
2.8
Over 0.5 HR
94%
Over 1.5 HR
76%
No HR
6%
Gavin Sheets SD30.0%
ISO: 0.242 | Barrel: 10.8% | vs Tomoyuki Sugano | Park: 1.18x Platoon: 1.12x
Jackson Merrill SD30.0%
ISO: 0.169 | Barrel: 8.5% | vs Tomoyuki Sugano | Park: 1.18x Platoon: 1.12x
Xander Bogaerts SD30.0%
ISO: 0.153 | Barrel: 6.7% | vs Tomoyuki Sugano | Park: 1.18x
Pitcher Strikeout Projections
Walker Buehler
0.0 K projected
SD | K/9: 0.0
Tomoyuki Sugano
0.0 K projected
COL | K/9: 0.0
Injury Report
SD8 injured
Bryan Hoeing RP60-DAY-IL
Griffin Canning SP15-DAY-IL
Nick Pivetta SP15-DAY-IL
Joe Musgrove SP15-DAY-IL
Jeremiah Estrada RP15-DAY-IL
Yuki Matsui RP15-DAY-IL
+2 more
COL8 injured
Kyle Freeland SP15-DAY-IL
Jeff Criswell RP60-DAY-IL
McCade Brown SP60-DAY-IL
RJ Petit RP60-DAY-IL
Pierson Ohl RP60-DAY-IL
Case Williams SPDAY-TO-DAY
+2 more
AI Intelligence Analysis
LEAN +1GREEN ZONE61.4% WR (n=31)
Coors Field (1.18 park factor +15% runs) + altitude (10,000 ft) vs market 12.0 total is deceptive. Model 8.92 total is only 1.08 below market, suggesting market is overpricing Coors despite massive park inflation. Walker Buehler (SD, 4.95 ERA) and Tomoyuki Sugano (COL, 4.23 ERA) are both mediocre. UNDER 12.0 edge 37.0% (model 69.2%) is massive and in GREEN zone (61.4% WR). Lean UNDER 12.0 aggressively; Coors overvalued in run-production expectations.
Key Factors
- UNDER edge MASSIVE: 37.0% (model 69.2% vs market ~28% implied). This is highest UNDER edge on today's slate.
- Pitcher quality: Buehler 4.95 ERA (B-, C+ stuff) and Sugano 4.23 ERA (C+, C stuff) are both adequate but not elite strikeout pitchers. Neither suppresses runs at Coors.
- Wind-in critical: 16 mph wind blowing IN at Coors (strong suppression). Wind-in at high-altitude field is rare and powerful (reduces fly-ball carry distance significantly). Model 8.92 factors this; market 12.0 may underweight it.
- Coors heuristic: Market has tendency to overvalue Coors Field runscoring ("it's Coors, must be high-scoring"). Model 8.92 is rational despite 1.18 park factor when pitcher quality is considered.
- Weather warm (77.4F) boosts runs slightly, but wind-in dominates for outdoors ballpark.
Risk Factors
- High-edge UNDER play (37%) on disabled TOTAL market. Calibration says avoid TOTAL; edge this size contradicts guidance.
- UNDER market is Grade F (42.4% WR, worst market). Even GREEN zone may not overcome systemic UNDER failure.
- Coors mystique could prove real; lineups could break out despite pitcher quality.
TOTALS VALUEGREEN ZONEWEATHER IMPACTPARK FACTORHIGH EDGE WARNING
Edge Analysis
Moneyline
SD 51.1%
-27.6 pts
Run Line
+1.5
-27.6 pts
Total
12.0
+37.0 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 →