Valencia vs Mallorca prediction for April 21, 2026: Our Monte Carlo simulation ran 5,000 game iterations and projects Mallorca 1.51 - Valencia 1.39. Mallorca is favored with a 36.9% win probability. Expected total goals: 2.9..
Mallorca
1.51
Projected Goals
VS
2.9 total
Valencia
1.39
Projected Goals
Match Outcome Probabilities
MallorcaDrawValencia
Calibrated accuracy at this confidence: 75.5% (1,051 games)
Projected Goals Range 10th – 90th percentile
Valencia
0.61.42.2
Mallorca
0.71.52.3
Expected Goals (xG)
Mallorca1.49
Valencia1.37
15.8Shots15.1
5.8On Target5.5
5.4Corners5.4
Goal Probabilities
Over 0.5
95.9%
Over 1.5
79.5%
Over 2.5
56.6%
Over 3.5
32.8%
Under 2.5
43.4%
BTTS
51.4%
Most Likely Scores
1-1
12.5%
2-1
8.8%
1-0
8.2%
1-2
8.0%
0-1
7.4%
Match Context
LALMedium
Mallorca
2.76
Draw
3.16
Valencia
2.88
AI Intelligence Analysis
NEUTRALRED ZONE42.8% WR (n=129)
Two weak attacking sides with near-zero xG gap (1.49 vs 1.37) and 28.65% draw probability — coin flip disguised as ML bet, all zones RED, model recent under-loss streak disqualifies over angle.
Key Factors
- xG differential just 0.12 (1.49 vs 1.37) — functionally evenly matched on shot quality
- Draw probability 28.65% vs La Liga baseline 24% — high 3-way risk kills 3-way ML value
- Mallorca form 1W-3L-1D vs Valencia 2W-2L — marginal form edge to Valencia but both struggling
- Zone: SOCCER|ml|home|any|any|any RED zone 42.8% WR (n=129) — home ML consistently underperforms
- Model under-loss streak (0-3 on unders recent 14 days) undermines confidence in +0.66 over edge
Risk Factors
- Both teams weak attacking profiles (Mallorca 0.69, Valencia 1.19 attack rating) — potential for 0-1 goal grind
- Draw outcome kills home/away ML bets 28.65% of time — 3-way mechanic penalty
- Recent market results: 3.07 avg goals last 7 days suggests market is accurately pricing 2.25 total
RED ZONEDRAW RISKXG MISMATCHWEAK TIER MATCHUP
Edge Analysis
Moneyline
Mallorca 36.9%
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Total
2.9
+19.0 pts
How this prediction was generated: This page shows output from the Olympus Bets Soccer Monte Carlo engine. Each game is simulated 5,000 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 →