Niva vs Lida: result 1-1 and analysis
Coppa2nd RoundKick-off on May 29, 2022 at 01:00 PM (UTC)
Full time
What was the result of Niva vs Lida?
Niva and Lida drew 1-1 on May 29, 2022.
Goalscorers
- 32′N. ZenkoLida
- 60′R. KozelNiva
Official lineup for Niva vs Lida
The starting elevens fielded at kick-off.
Niva
- PP. Pampukha
- RR. Khovavko
- DD. Fedortsov
- BBoris Konevega
- NN. Leshkevich
- PP. Priko
- AA. Tkhagalegov
- RR. Kozel
- MM. Druchik
- VV. Dobrolovich
- AA. Meshchaninov
Lida
- NN. Zenko
- EE. Sanyuk
- AA. Rogach
- II. Kazakov
- AA. Bakinovskiy
- AA. Sosnovskiy
- AA. Lazarev
- VV. Vasilenko
- KK. Karpov
- AA. Salygo
- VV. Yukhnovich
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niva have 10 wins, 1 draw and 4 defeats; Lida have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2022 | Kobrin(home) | 3-1 | 2. Division |
| May 15, 2022 | Ivatsevichi(away) | 7-3 | Coppa |
| Apr 30, 2022 | Luninets(home) | 4-0 | Coppa |
| Apr 23, 2022 | Dinamo Malorita(away) | 2-1 | 2. Division |
| Apr 16, 2022 | Euroexport(away) | 6-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | Ostrovets FC(away) | 0-4 | 1. Division |
| May 15, 2022 | ML Vitebsk(home) | 4-2 | 1. Division |
| May 7, 2022 | Smorgon(away) | 0-2 | 1. Division |
| May 1, 2022 | Orsha(home) | 1-2 | 1. Division |
| Apr 22, 2022 | Osipovichy(away) | 1-1 | 1. Division |
How many goals should we expect?
Niva score 3.6 and concede 1.6 goals per match over their last 15; Lida score 0.9 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niva | 3.6 | 1.6 | 3 | 10/15 | 13/15 |
| Lida | 0.9 | 2.8 | 0 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Niva vs Lida?
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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