Mezőkövesdi Városi Stadion · Referee Luka Bilbija, Bosnia & Herzegovina · Analysis updated 14:23 UTC
ML Vitebsk vs Universitatea Craiova Prediction, Odds & Statistics
Our Poisson-based model projects 1.25 expected goals for ML Vitebsk and 1.26 for Universitatea Craiova, a combined total of 2.51. That distribution gives Universitatea Craiova the largest share of the 1X2 market at 37%, with the draw at 27%. Goals markets follow the same shape: 46% for over 2.5 goals and 51% for both teams to score, with 1–1 the single most likely scoreline at 13%. Probabilities are statistical estimates and carry meaningful uncertainty — a 37% favourite still loses or draws a large share of the time.
This match has finished. The figures below are the model's estimate for the fixture, kept on the page for reference and study — they are not a betting tip, and nothing here has been edited after the final whistle.
Model pick
Draw/Away
63.7% probability
Expected goals
1.25 – 1.26
Model version
poisson-v1
Cold start: only league-table or short-form data was available for these teams.
Probabilities are statistical estimates, not guarantees.
Why the model likes this
Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.
ML Vitebsk home form
9 points from their last 5 home matches in our dataset.
Universitatea Craiova away threat
Scored in 5 of their last 6 away fixtures.
Most likely outcome
The model rates Universitatea Craiova to win the strongest 1X2 selection at 37%, against 36% / 27% / 37% for home, draw and away.
Expected goals balance
Projected 1.25 goals for ML Vitebsk and 1.26 for Universitatea Craiova, a combined 2.51 — an open game on paper.
Match result (1X2)
Double chance 1X
63%
Double chance 12
73%
Double chance X2
64%
Goals markets
Correct score
- 1–112.8%
- 0–110.2%
- 1–010.2%
- 0–08.1%
- 1–28.1%
Recent form
ML Vitebsk
- 2026-09-18T16:00:00.000Z · H vs Arsenal · 5-1 (W)
- 2026-09-13T12:00:00.000Z · A vs FC Dnepr Mogilev · 1-1 (D)
- 2026-09-06T17:00:00.000Z · H vs Dinamo Minsk · 0-0 (D)
- 2026-09-02T15:30:00.000Z · H vs Belshina · 1-1 (D)
- 2026-08-29T14:30:00.000Z · A vs Dinamo Brest · 3-1 (W)
Universitatea Craiova
- 2026-10-11T15:00:00.000Z · A vs Csikszereda · 1-0 (W)
- 2026-10-04T08:00:00.000Z · A vs Slatina · 4-0 (W)
- 2026-09-19T17:30:00.000Z · H vs FCSB · 5-0 (W)
- 2026-09-13T17:30:00.000Z · A vs Corvinul Hunedoara · 1-0 (W)
- 2026-09-07T17:30:00.000Z · H vs Universitatea Cluj · 4-0 (W)
Head-to-head
Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.
UEFA Champions League table
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Barcelona | 2 | 2 | 0 | 0 | 7 | 6 |
| 2 | Sporting CP | 2 | 2 | 0 | 0 | 4 | 6 |
| 3 | Arsenal | 2 | 2 | 0 | 0 | 4 | 6 |
| 4 | Bayern München | 2 | 1 | 1 | 0 | 5 | 4 |
| 5 | Paris Saint Germain | 1 | 1 | 0 | 0 | 5 | 3 |
| 6 | Como | 1 | 1 | 0 | 0 | 3 | 3 |
| 7 | Manchester United | 2 | 1 | 0 | 1 | 2 | 3 |
| 8 | VfB Stuttgart | 1 | 1 | 0 | 0 | 2 | 3 |
| 9 | Manchester City | 1 | 1 | 0 | 0 | 2 | 3 |
| 10 | Villarreal | 2 | 1 | 0 | 1 | 1 | 3 |
| 11 | Aston Villa | 1 | 1 | 0 | 0 | 1 | 3 |
| 12 | Real Betis | 1 | 1 | 0 | 0 | 1 | 3 |
| 13 | Atletico Madrid | 2 | 1 | 0 | 1 | 1 | 3 |
| 14 | Borussia Dortmund | 1 | 1 | 0 | 0 | 1 | 3 |
| 15 | Liverpool | 1 | 1 | 0 | 0 | 1 | 3 |
| 16 | Real Madrid | 1 | 1 | 0 | 0 | 1 | 3 |
| 17 | AEK Athens FC | 1 | 1 | 0 | 0 | 1 | 3 |
| 18 | Club Brugge KV | 2 | 1 | 0 | 1 | 0 | 3 |
| 19 | Lens | 2 | 1 | 0 | 1 | -1 | 3 |
| 20 | RB Leipzig | 2 | 1 | 0 | 1 | -2 | 3 |
| 21 | Sabah FA | 2 | 1 | 0 | 1 | -2 | 3 |
| 22 | AS Roma | 1 | 0 | 1 | 0 | 0 | 1 |
| 23 | Shakhtar Donetsk | 1 | 0 | 1 | 0 | 0 | 1 |
| 24 | Fenerbahçe | 1 | 0 | 1 | 0 | 0 | 1 |
| 25 | PSV Eindhoven | 2 | 0 | 1 | 1 | -1 | 1 |
| 26 | Viking | 2 | 0 | 1 | 1 | -2 | 1 |
| 27 | Lask Linz | 1 | 0 | 0 | 1 | -1 | 0 |
| 28 | Inter | 2 | 0 | 0 | 2 | -2 | 0 |
| 29 | FC Porto | 1 | 0 | 0 | 1 | -2 | 0 |
| 30 | Slavia Praha | 2 | 0 | 0 | 2 | -3 | 0 |
| 31 | Napoli | 2 | 0 | 0 | 2 | -3 | 0 |
| 32 | Lille | 2 | 0 | 0 | 2 | -4 | 0 |
| 33 | Feyenoord | 1 | 0 | 0 | 1 | -4 | 0 |
| 34 | Galatasaray | 2 | 0 | 0 | 2 | -5 | 0 |
| 35 | Slovan Bratislava | 1 | 0 | 0 | 1 | -5 | 0 |
| 36 | Bodo/Glimt | 1 | 0 | 0 | 1 | -5 | 0 |
Prediction conclusion
The model's leading selection is Draw/Away, at 63.7%. Its single most likely scoreline is 1–1.
It puts both teams scoring at 51% and over 2.5 goals at 46%.
A 64% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.
Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.