Saxan vs Petrocub: result 2-0 and analysis
Super LigaRegular Season - 16Kick-off on November 25, 2016 at 11:00 AM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
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What was the result of Saxan vs Petrocub?
Saxan won 2-0 on November 25, 2016.
Goalscorers
- 44′Mamadou FofanaSaxan
- 59′A. PuntusSaxan
What is the recent form of both teams?
Over their last 15 matches in all competitions, Saxan have 1 win, 2 draws and 12 defeats; Petrocub have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Sheriff Tiraspol(home) | 1-5 | Super Liga |
| Nov 9, 2016 | Speranţa Nisporeni(home) | 2-2 | Super Liga |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Ungheni(home) | 5-0 | Super Liga |
| Nov 4, 2016 | Dinamo-Auto(away) | 1-0 | Super Liga |
| Oct 30, 2016 | Zaria Balti(home) | 2-2 | Super Liga |
| Oct 16, 2016 | Sheriff Tiraspol(home) | 0-0 | Super Liga |
| Sep 30, 2016 | Speranţa Nisporeni(away) | 0-1 | Super Liga |
What does the head-to-head say?
In the last meeting: 0 Saxan wins, 0 draws, 1 Petrocub win.
| Date | Score | Competition |
|---|---|---|
| Aug 21, 2016 | Petrocub 2-1 Saxan | Super Liga |
How many goals should we expect?
Saxan score 0.6 and concede 2.1 goals per match over their last 15; Petrocub score 1.2 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saxan | 0.6 | 2.1 | 1 | 6/15 | 7/15 |
| Petrocub | 1.2 | 1.2 | 6 | 3/13 | 6/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Petrocub | 14 | 7 | 4 | 3 | 25 | 14 | 25 |
A question about Saxan vs Petrocub?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy