Saxan vs Zimbru: result 3-0 and analysis
Super LigaRegular Season - 21Kick-off on March 1, 2017 at 12:00 PM (UTC)Stadionul Ceadîr Lunga, Ceadîr Lunga
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What was the result of Saxan vs Zimbru?
Saxan won 3-0 on March 1, 2017.
Goalscorers
- 10′W. EzaSaxan
- 48′W. EzaSaxan
- 72′112992Saxan
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; Zimbru 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 |
|---|---|---|---|
| Dec 9, 2016 | Ungheni(away) | 0-3 | Super Liga |
| Dec 3, 2016 | Dinamo-Auto(home) | 0-3 | Super Liga |
| Nov 29, 2016 | Zaria Balti(away) | 0-2 | Super Liga |
| Nov 25, 2016 | Petrocub(home) | 2-0 | Super Liga |
| Nov 20, 2016 | Sheriff Tiraspol(home) | 1-5 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 25, 2017 | Ungheni(home) | 4-0 | Super Liga |
| Dec 10, 2016 | Dinamo-Auto(away) | 1-1 | Super Liga |
| Dec 4, 2016 | Zaria Balti(home) | 0-1 | Super Liga |
| Nov 30, 2016 | Petrocub(away) | 2-1 | Super Liga |
| Nov 26, 2016 | Sheriff Tiraspol(home) | 1-4 | Super Liga |
What does the head-to-head say?
In the last meeting: 0 Saxan wins, 0 draws, 1 Zimbru win.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Zimbru 2-0 Saxan | Super Liga |
How many goals should we expect?
Saxan score 0.6 and concede 2.2 goals per match over their last 15; Zimbru score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Saxan | 0.6 | 2.2 | 1 | 5/15 | 8/15 |
| Zimbru | 1.0 | 1.1 | 6 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Zimbru | 14 | 8 | 3 | 3 | 28 | 13 | 27 |
A question about Saxan vs Zimbru?
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