Saxan vs Speranţa Nisporeni: result 2-2 and analysis
Super LigaRegular Season - 14Kick-off on November 9, 2016 at 11:00 AM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
Full time
What was the result of Saxan vs Speranţa Nisporeni?
Saxan and Speranţa Nisporeni drew 2-2 on November 9, 2016.
Goalscorers
- 15′Vitalie PlămădealăSperanţa Nisporeni
- 25′A. PuntusSaxan
- 78′Constantin Sergheevich CalmîşSaxan
- 79′Igor AndronicSperanţa Nisporeni
What is the recent form of both teams?
Over their last 14 matches in all competitions, Saxan have 1 wins, 1 draws and 12 defeats; Speranţa Nisporeni have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2016 | Zaria Balti(home) | 1-4 | Super Liga |
| Oct 29, 2016 | Academia(away) | 0-1 | Super Liga |
| Oct 21, 2016 | Milsami Orhei(home) | 0-1 | Super Liga |
| Oct 15, 2016 | Dacia(home) | 0-2 | Super Liga |
| Oct 1, 2016 | Zimbru(away) | 0-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Ungheni(home) | 3-0 | Super Liga |
| Oct 21, 2016 | Dinamo-Auto(away) | 4-1 | Super Liga |
| Oct 16, 2016 | Zaria Balti(away) | 2-0 | Super Liga |
| Sep 30, 2016 | Petrocub(home) | 1-0 | Super Liga |
| Sep 25, 2016 | Sheriff Tiraspol(away) | 0-2 | Super Liga |
What does the head-to-head say?
Across the last 1 meetings: 0 Saxan win(s), 0 draw(s), 1 Speranţa Nisporeni win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2016 | Speranţa Nisporeni 2-1 Saxan | Super Liga |
Last archived meeting: Speranţa Nisporeni vs Saxan on Aug 5, 2016
How many goals should we expect?
Saxan score 0.4 and concede 1.9 goals per match over their last 14; Speranţa Nisporeni score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saxan | 0.4 | 1.9 | 1 | 4/14 | 5/14 |
| Speranţa Nisporeni | 1.1 | 1.1 | 5 | 3/12 | 5/12 |
Over the last 14 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