Niva vs Osipovichy: result 3-1 and analysis
1. DivisionRegular Season - 16Kick-off on July 16, 2023 at 01:00 PM (UTC)
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What was the result of Niva vs Osipovichy?
Niva won 3-1 on July 16, 2023.
Goalscorers
- 13′Andrey EmeljanovOsipovichy (pen.)
- 33′D. FedortsovNiva
- 42′P. PampukhaNiva (pen.)
- 90′D. FedortsovNiva
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niva have 6 wins, 2 draws and 7 defeats; Osipovichy 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 |
|---|---|---|---|
| Jul 9, 2023 | Shakhtyor Petrikov(away) | 3-1 | 1. Division |
| Jul 2, 2023 | Molodechno-DYuSSh 4(home) | 1-1 | 1. Division |
| Jun 24, 2023 | Ostrovets FC(away) | 1-1 | 1. Division |
| Jun 18, 2023 | ML Vitebsk(home) | 0-5 | 1. Division |
| Jun 11, 2023 | Slonim(away) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2023 | Zhodino Yuzhnoe(home) | 2-3 | 1. Division |
| Jul 2, 2023 | FC Vitebsk(away) | 1-5 | 1. Division |
| Jun 25, 2023 | Volna(home) | 0-2 | 1. Division |
| Jun 18, 2023 | Bumprom(away) | 1-3 | 1. Division |
| Jun 11, 2023 | Orsha(home) | 1-3 | 1. Division |
How many goals should we expect?
Niva score 1.7 and concede 2.1 goals per match over their last 15; Osipovichy score 1.2 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niva | 1.7 | 2.1 | 3 | 8/15 | 10/15 |
| Osipovichy | 1.2 | 2.7 | 0 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Niva sit 1st in 1. Division (42 points from 21 matches) and Osipovichy sit 18th (17 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Niva | 21 | 13 | 3 | 5 | 51 | 26 | 42 |
| 9 | Niva | 11 | 5 | 2 | 4 | 19 | 15 | 17 |
| 18 | Osipovichy | 21 | 5 | 2 | 14 | 23 | 51 | 17 |
| 18 | Osipovichy | 11 | 0 | 1 | 10 | 10 | 35 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy