Arsenal vs Molodechno-DYuSSh 4: result 2-2 and analysis
2. DivisionRegular Season - 20Kick-off on September 7, 2019 at 01:00 PM (UTC)Stadyen Haradski, Dzerzhinsk
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What was the result of Arsenal vs Molodechno-DYuSSh 4?
Arsenal and Molodechno-DYuSSh 4 drew 2-2 on September 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal have 12 wins, 0 draws and 3 defeats; Molodechno-DYuSSh 4 have 9, 0 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Neman-Agro(away) | 5-0 | 2. Division |
| Aug 24, 2019 | Viktoriya Maryina Horka(home) | 2-0 | 2. Division |
| Aug 17, 2019 | Ivatsevichi(away) | 5-0 | 2. Division |
| Aug 10, 2019 | Osipovichy(home) | 7-1 | 2. Division |
| Jul 28, 2019 | FC Energetik-Bgu Minsk(home) | 0-6 | Coppa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 31, 2019 | Gorki(home) | 3-1 | 2. Division |
| Aug 24, 2019 | Energosbyt-BSATU(away) | 9-1 | 2. Division |
| Aug 17, 2019 | Kletsk(home) | 3-0 | 2. Division |
| Aug 10, 2019 | SMI Autotrans(away) | 5-1 | 2. Division |
| Jul 20, 2019 | Neman-Agro(away) | 11-1 | 2. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Arsenal win(s), 0 draw(s), 0 Molodechno-DYuSSh 4 win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 12, 2019 | Molodechno-DYuSSh 4 0-5 Arsenal | Coppa |
| May 18, 2019 | Molodechno-DYuSSh 4 1-2 Arsenal | 2. Division |
Last archived meeting: Molodechno-DYuSSh 4 vs Arsenal on Jun 12, 2019
How many goals should we expect?
Arsenal score 3.7 and concede 0.8 goals per match over their last 15; Molodechno-DYuSSh 4 score 3.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal | 3.7 | 0.8 | 10 | 3/15 | 11/15 |
| Molodechno-DYuSSh 4 | 3.1 | 1.5 | 4 | 8/15 | 14/15 |
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