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Belarus · Premier League

01 Jul 2026 17:30 UTC

SLAVIA MOZYR vs MAXLINE VITEBSK

Final 2:4

Maxline Vitebsk won Last goal: Maxline Vitebsk

Match timeline

1st half

  1. ⚽ Artem Kontsevoy — Maxline Vitebsk
  2. ⚽ Bassekou Diabaté — Maxline Vitebsk
  3. ⚽ Andrey Solovey — Slavia Mozyr

2nd half

  1. 🟥 Kirill Chernook (straight red) — Slavia Mozyr
  2. ⚽ Mark Bulanov — Maxline Vitebsk
  3. ⚽ Yashin — Slavia Mozyr
  4. ⚽ Shamar Nicholson — Maxline Vitebsk

Model predictions were

Predictions are settled on the 90-minute result, including stoppage time but excluding extra time and penalties.

Nice call
39%
1X2
Maxline Vitebsk
90-minute result: Maxline Vitebsk
Nice call
48%
Both teams to score
Yes

Chance that both teams score

Result: Yes
Solid call
74%
Total 1.5
Over

Chance of 2 or more goals

Result: Over
Nice call
48%
Total 2.5
Over

Chance of 3 or more goals

Result: Over
Off target
71%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Over
Big miss
86%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
9%
Score
1:2

Chance of this exact score

Result: 2:4

Model Context Was

Match prediction context

Probability in similar matches 40% (Weak)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (-1; home goals minus away goals).

Based on 58 past matches with this goal margin in this league.

Draw likelihood 24% (Typical)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 260 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 318 completed matches.

1X2 45% (Weak)
Both teams to score 48% (Average)
Total 1.5 59% (Good)
Total 2.5 52% (Average)
Total 3.5 65% (Good)
Total 4.5 79% (Strong)
Score 8% (Weak)

More stats

Teams

This shows how the model performed in matches with these teams.

Based on 77 past matches

1X2 35% (Weak)
Both teams to score 52% (Average)
Total 1.5 64% (Good)
Total 2.5 56% (Good)
Total 3.5 62% (Good)
Total 4.5 78% (Strong)
Score 9% (Weak)

Markets

This shows how often each type of prediction was correct in this league.

1X2 45% (Weak)
211 predictions
Both teams to score 46% (Average)
180 predictions
Total 1.5 71% (Strong)
239 predictions
Total 2.5 48% (Average)
155 predictions
Total 3.5 75% (Strong)
247 predictions
Total 4.5 88% (Strong)
285 predictions

Match overview