Levante vs Celta Vigo prediction for May 12, 2026: Our Monte Carlo simulation ran 15,000 game iterations and projects Celta Vigo 2.09 - Levante 1.52. Celta Vigo is favored with a 56.2% win probability. Expected total goals: 3.6..
Celta Vigo
2.09
Projected Goals
VS
3.6 total
Levante
1.52
Projected Goals
Match Outcome Probabilities
Celta VigoDrawLevante
Calibrated accuracy at this confidence: 61.7% (1,051 games)
Projected Goals Range 10th – 90th percentile
Levante
0.71.52.3
Celta Vigo
1.32.12.9
Projected
Celta Vigo 2.09 — Levante 1.52
Actual
Celta Vigo 2 — Levante 3
Expected Goals (xG)
Celta Vigo1.37
Levante0.82
31.0Shots18.9
Goal Probabilities
Over 0.5
97.6%
Over 1.5
88.2%
Over 2.5
54.6%
Over 3.5
48.5%
Under 2.5
45.4%
BTTS
73.5%
Match Context
LALMedium
Celta Vigo
1.94
Draw
3.64
Levante
4.29
AI Intelligence Analysis
NEUTRAL -1RED ZONE42.6% WR (n=77)
Quality mismatch favors Celta (TOP vs WEAK tier, xG 1.37 vs 0.82) but home ML is RED zone (42.6% WR) and disabled by calibration; draw risk 25.3% kills 3-way value; over market marginal and over is disabled.
Key Factors
- Tier mismatch: Celta TOP tier (60% win rate) vs Levante WEAK tier (23.5% all-season) — 36.5% gap
- xG gap 0.55: Celta 1.37 vs Levante 0.82 expected goals — clear offensive dominance
- Home advantage at Celta: 1.553 GF/90 home vs Levante's 1.118 GF/90 away
- Draw risk 25.3%: Model assigns quarter of outcomes to draws, typical LAL but limits 3-way ML value
- Over edge: Model 3.61 goals vs market 2.75 = 0.86 goal edge, but over market disabled
Risk Factors
- Home ML RED zone: 42.6% WR across 77 recent bets (z=-1.48), system auto-disabled home bets
- Draw kills 3-way ML: 25.3% probability means 1 in 4 matches ends draw = loss on any non-draw bet
- Over market disabled: Over bets at 46.5% WR (grade F), systemic losses trigger auto-disable, prevents over 2.5 bet despite +0.86 goal edge
RED ZONEHOME ML TRAPDRAW RISKTIER MISMATCHML DISABLED
Edge Analysis
Moneyline
Celta Vigo 56.2%
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Total
3.6
+7.1 pts
How this prediction was generated: This page shows output from the Olympus Bets Soccer Monte Carlo engine. Each game is simulated 15,000 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 →