UEFA Conference League, round 1 · Thursday, 15 October, MSK · American Express Stadium
Brighton & Hove Albion — FK Kauno Žalgiris
☆ Save matchModel prediction for 15 October
In short
Brighton & Hove Albion are clear favourites: 86% against 4% for the opponent, draw 10%.
The model expects plenty of goals: 3.7 in total, against a competition average of 2.5.
Over 2.5 goals — 72%, both teams to score — 44%.
Why
- By the strength ratings Brighton & Hove Albion are about 1.4 goals per match stronger.
Facts
- Brighton & Hove Albion: 4 wins in a row.
Probabilities
| Expected goals: Brighton & Hove Albion — FK Kauno Žalgiris What is xG? | 3.1–0.6 | |
| Brighton & Hove Albion not to lose | 96% | |
| FK Kauno Žalgiris not to lose | 14% | |
| No draw | 90% | |
| Both teams to score: yes | 44% | |
| Both teams to score: no | 56% | |
| Total over 2.5 | 72% | |
| Total under 2.5 | 28% |
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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Handicap Brighton & Hove Albion
- Brighton & Hove Albion goals
- FK Kauno Žalgiris goals
- Corners and cards
- Full score grid
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Form
- 10.10away · Sunderland2:0
- 19.09Arsenal3:0
- 16.09away · Manchester United3:2
- 13.09away · Coventry City5:0
- 05.09Leeds United1:1
No past matches in the data yet.
Head to head
No previous meetings in the data.
Conference League on the same day
- 5324231The model's most likely outcome: 1Model's score: 2:12.9
- 771581The model's most likely outcome: 1Model's score: 3:13.4
- 4626281The model's most likely outcome: 1Model's score: 1:02.8
- 1319682The model's most likely outcome: 2Model's score: 0:33.1
- 3126432The model's most likely outcome: 2Model's score: 0:12.8
- 2024562The model's most likely outcome: 2Model's score: 0:22.9
- 2525502The model's most likely outcome: 2Model's score: 1:32.8
- 1521642The model's most likely outcome: 2Model's score: 0:33.0
This is the model’s statistical estimate, not a recommendation. An outcome at 86% will not happen in roughly 14 matches out of 100. How to read probabilities →