Vysočina Jihlava II vs Žďár nad Sázavou: result 3-2 and analysis
4. liga - Divizie DRegular Season - 1Kick-off on November 3, 2019 at 09:15 AM (UTC)Stadion Na Stoupách, Jihlava
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What was the result of Vysočina Jihlava II vs Žďár nad Sázavou?
Vysočina Jihlava II won 3-2 on November 3, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Vysočina Jihlava II have 11 wins, 1 draws and 0 defeats; Žďár nad Sázavou have 3, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Start Brno(away) | 3-1 | 4. liga - Divizie D |
| Oct 20, 2019 | Velká Bíteš(home) | 9-0 | 4. liga - Divizie D |
| Oct 13, 2019 | Humpolec(away) | 1-0 | 4. liga - Divizie D |
| Oct 5, 2019 | Sokol Lanžhot(home) | 2-1 | 4. liga - Divizie D |
| Sep 29, 2019 | Sokol Tasovice(away) | 3-3 | 4. liga - Divizie D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Zbrojovka Brno II(away) | 0-4 | 4. liga - Divizie D |
| Oct 20, 2019 | Start Brno(home) | 1-6 | 4. liga - Divizie D |
| Oct 12, 2019 | Havlíčkův Brod(away) | 2-1 | 4. liga - Divizie D |
| Oct 6, 2019 | Velká Bíteš(home) | 2-0 | 4. liga - Divizie D |
| Sep 28, 2019 | Bystřice nad Pernštejnem(away) | 2-2 | 4. liga - Divizie D |
How many goals should we expect?
Vysočina Jihlava II score 3.6 and concede 0.8 goals per match over their last 12; Žďár nad Sázavou score 1.3 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vysočina Jihlava II | 3.6 | 0.8 | 5 | 7/12 | 11/12 |
| Žďár nad Sázavou | 1.3 | 2.5 | 2 | 7/13 | 9/13 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Žďár nad Sázavou | 3 | 2 | 1 | 0 | 9 | 3 | 7 |
| 3 | Žďár nad Sázavou | 2 | 1 | 1 | 0 | 4 | 3 | 4 |
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