Match

Speranţa Nisporeni vs Dinamo-Auto: result 0-0 and analysis

Super LigaRegular Season - 3Kick-off on April 14, 2018 at 01:00 PM (UTC)Complexul Sportiv Raional, Orhei

Speranţa Nisporeni
0-0
Dinamo-Auto

Full time

What was the result of Speranţa Nisporeni vs Dinamo-Auto?

Speranţa Nisporeni and Dinamo-Auto drew 0-0 on April 14, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Speranţa Nisporeni have 3 wins, 6 draws and 6 defeats; Dinamo-Auto have 4, 3 and 8.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Speranţa Nisporeni
DateOpponentScoreCompetition
Apr 7, 2018Sheriff Tiraspol(away)0-3Super Liga
Apr 1, 2018Zaria Balti(home)0-0Super Liga
Nov 26, 2017Sheriff Tiraspol(away)1-0Super Liga
Nov 18, 2017Sfîntul Gheorghe(home)0-0Super Liga
Nov 4, 2017Dinamo-Auto(away)3-0Super Liga
Dinamo-Auto
DateOpponentScoreCompetition
Apr 7, 2018Zaria Balti(home)0-0Super Liga
Apr 1, 2018Sfîntul Gheorghe(away)1-0Super Liga
Nov 26, 2017Dacia(home)3-2Super Liga
Nov 18, 2017Zaria Balti(away)0-6Super Liga
Nov 4, 2017Speranţa Nisporeni(home)0-3Super Liga

What does the head-to-head say?

Across the last 5 meetings: 3 Speranţa Nisporeni win(s), 2 draw(s), 0 Dinamo-Auto win(s).

DateScoreCompetition
Nov 4, 2017Dinamo-Auto 0-3 Speranţa NisporeniSuper Liga
Aug 19, 2017Speranţa Nisporeni 1-1 Dinamo-AutoSuper Liga
Mar 31, 2017Speranţa Nisporeni 4-1 Dinamo-AutoSuper Liga
Oct 21, 2016Dinamo-Auto 1-4 Speranţa NisporeniSuper Liga
Jul 23, 2016Speranţa Nisporeni 0-0 Dinamo-AutoSuper Liga

Last archived meeting: Dinamo-Auto vs Speranţa Nisporeni on Nov 4, 2017

How many goals should we expect?

Speranţa Nisporeni score 0.8 and concede 1.1 goals per match over their last 15; Dinamo-Auto score 0.7 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Speranţa Nisporeni0.81.176/157/15
Dinamo-Auto0.71.946/157/15

Over the last 15 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

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