Prediction Analysis

Detailed analysis for selected match and advanced markets.

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Coppa 2026-06-17 15:00

FC Energetik-Bgu Minsk

Home

Selected Prediction

Over 2.5 Goals

Prediction Yes

Probability 97%

Confidence High

Predicted Score 2-4

ML Vitebsk

Away

Prediction Summary

1 18%

X 11%

2 69%

+2.5 97%

BTTS 93%

Confidence High

Market Evidence

FC Energetik-Bgu Minsk Home

3 Goals Scored / Match

5 Goals Conceded / Match

100% Over 2.5 Rate

100% BTTS Rate

ML Vitebsk Away

5 Goals Scored / Match

3 Goals Conceded / Match

100% Over 2.5 Rate

100% BTTS Rate

Team Form

FC Energetik-Bgu Minsk

GF 3

GA 5

ML Vitebsk

GF 5

GA 3

Goals Comparison

100% Over 0.5 100%

100% Over 1.5 100%

100% Over 2.5 100%

0% Over 3.5 100%

100% BTTS 100%

0% Clean Sheets 0%

Corners Market

Corners data not available yet This market will be activated after importing corners statistics.

Shots Market

Shots data not available yet This market will be activated after importing shots and shots on target.

Cards Market

Cards data not available yet This market will be activated after importing yellow and red card statistics.

Advanced Stats Snapshot

Advanced match statistics not available yet Possession, fouls, offsides, xG and advanced metrics will appear here later.

Model Insight

The selected market is Over 2.5 Goals with probability of 97%. The model confidence is High.

FC Energetik-Bgu Minsk averages 3 goals scored at home, while ML Vitebsk averages 5 goals scored away.

Model Strength 97%

Other Top Markets for This Match

Home Win 18%

Draw 11%

Away Win 69%

Over 2.5 97%

BTTS Yes 93%

PRE-MATCH ANALYSIS

Prediction analysis before kickoff

Prediction analysis pages combine probability markets, predicted scores, team form and historical indicators to help users understand why a fixture may fit a specific match trend.

Selected prediction 1X2 Goals markets BTTS Team form

DataHistorical results, fixtures and performance metrics

Markets1X2, goals, BTTS, corners, cards and trend indicators

AnalysisLeague, team, player and match-level insights