Ivatsevichi vs Arsenal: result 0-5 and analysis
Coppa2nd RoundKick-off on May 29, 2021 at 01:00 PM (UTC)Klenovka Arena, Ivatsevichy
Full time
What was the result of Ivatsevichi vs Arsenal?
Arsenal won 0-5 on May 29, 2021.
Goalscorers
- 25′V. SenkoArsenal
- 30′Y. LovetsArsenal (pen.)
- 62′A. KiykoArsenal
- 70′V. KovalevichArsenal
- 72′A. KiykoArsenal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ivatsevichi have 9 wins, 1 draws and 5 defeats; Arsenal have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2021 | DYUSSH Stolin(away) | 8-2 | Coppa |
| May 16, 2021 | Nadezhda(away) | 1-0 | 2. Division |
| May 8, 2021 | Ivanovo(home) | 3-0 | Coppa |
| May 1, 2021 | DYUSSH Stolin(home) | 5-0 | 2. Division |
| Oct 24, 2020 | SMI Autotrans(away) | 3-4 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2021 | Naftan(home) | 2-0 | 1. Division |
| May 16, 2021 | Belshina(away) | 0-2 | 1. Division |
| May 9, 2021 | Baranovichi(home) | 5-0 | 1. Division |
| May 5, 2021 | Lida(away) | 1-1 | 1. Division |
| May 2, 2021 | Orsha(home) | 4-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Ivatsevichi win(s), 0 draw(s), 2 Arsenal win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 17, 2019 | Ivatsevichi 0-5 Arsenal | 2. Division |
| Apr 27, 2019 | Arsenal 4-0 Ivatsevichi | 2. Division |
Last archived meeting: Ivatsevichi vs Arsenal on Aug 17, 2019
How many goals should we expect?
Ivatsevichi score 2.7 and concede 2.2 goals per match over their last 15; Arsenal score 1.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ivatsevichi | 2.7 | 2.2 | 6 | 6/15 | 12/15 |
| Arsenal | 1.7 | 0.9 | 7 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
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