Sănătatea Cluj vs Industria Galda de Jos: result 3-4 and analysis
Liga III - Serie 9Serie 9 - 6Kick-off on October 28, 2020 at 01:00 PM (UTC)Baza Sportivă Jucu de Mijloc, Jucu de Mijloc
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What was the result of Sănătatea Cluj vs Industria Galda de Jos?
Industria Galda de Jos won 3-4 on October 28, 2020.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Sănătatea Cluj have 8 wins, 1 draws and 5 defeats; Industria Galda de Jos have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2020 | Arieşul Turda(away) | 2-1 | Liga III - Serie 9 |
| Oct 9, 2020 | Avântul Reghin(away) | 2-1 | Liga III - Serie 9 |
| Oct 3, 2020 | Ocna Mureș(home) | 1-0 | Liga III - Serie 9 |
| Sep 25, 2020 | Unirea Ungheni(away) | 1-2 | Liga III - Serie 9 |
| Sep 19, 2020 | Unirea Alba Iulia(home) | 1-3 | Liga III - Serie 9 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Metalurgistul Cugir(home) | 1-4 | Liga III - Serie 9 |
| Oct 3, 2020 | Hunedoara(away) | 1-2 | Liga III - Serie 9 |
| Sep 26, 2020 | Arieşul Turda(home) | 1-3 | Liga III - Serie 9 |
| Sep 22, 2020 | Unirea Alba Iulia(home) | 0-3 | Cupa României |
| Sep 18, 2020 | Unirea Dej(away) | 0-2 | Liga III - Serie 9 |
How many goals should we expect?
Sănătatea Cluj score 1.4 and concede 1.6 goals per match over their last 14; Industria Galda de Jos score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sănătatea Cluj | 1.4 | 1.6 | 4 | 7/14 | 10/14 |
| Industria Galda de Jos | 1.6 | 1.7 | 4 | 8/15 | 11/15 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Industria Galda de Jos | 18 | 1 | 7 | 10 | 20 | 45 | 10 |
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