TransINVEST Vilnius vs Jonava: result 1-2 and analysis
CupRound of 16Kick-off on May 25, 2022 at 04:00 PM (UTC)Širvintų stadionas, Širvintos
Full time
What was the result of TransINVEST Vilnius vs Jonava?
Jonava won 1-2 on May 25, 2022.
Goalscorers
- 63′M. GanusauskasJonava
- 75′Benas SpietinisTransINVEST Vilnius (o.g.)
- 84′P. OsauskasJonava
Official lineup for TransINVEST Vilnius vs Jonava
The starting elevens fielded at kick-off.
TransINVEST Vilnius
- GG. Kulbis
- PP. Kiselevskis
- MM. Makutunovičius
- AA. Tamaliunas
- MM. Valukonis
- LL. Tchapodze
- AA. Kazakevičius
- AA. Korsakas
- AA. Čivilis
- AA. Vilkancas
- KK. Čirba
Jonava
- JJ. Jorrín
- SSebastián Vásquez Gamboa
- JJorge Tapia
- TT. Eliošius
- AA. Rocys
- VV. Khamelyuk
- TTitas Buzas
- BBenas Spietinis
- DD. Raudonius
- NN. Machado
- MM. Matuzas
What is the recent form of both teams?
Over their last 2 matches in all competitions, TransINVEST Vilnius have 2 wins, 0 draws and 0 defeats; Jonava have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2022 | FKS Ukmergė(away) | 2-0 | Cup |
| Apr 23, 2022 | Radviliškis(home) | 6-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2022 | Banga(away) | 1-1 | A Lyga |
| May 7, 2022 | Atmosfera(away) | 3-0 | Cup |
| May 3, 2022 | Šiauliai(home) | 0-3 | A Lyga |
| Apr 30, 2022 | Hegelmann Litauen(away) | 0-4 | A Lyga |
| Apr 27, 2022 | FK Zalgiris Vilnius(home) | 0-5 | A Lyga |
How many goals should we expect?
TransINVEST Vilnius score 4.0 and concede 0.0 goals per match over their last 2; Jonava score 0.4 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TransINVEST Vilnius | 4.0 | 0.0 | 2 | 0/2 | 1/2 |
| Jonava | 0.4 | 2.9 | 2 | 3/15 | 10/15 |
Over the last 2 matches in all competitions.
A question about TransINVEST Vilnius vs Jonava?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy