Match

Dinamo-Auto vs Speranţa Nisporeni: result 0-3 and analysis

Super LigaRegular Season - 16Kick-off on November 4, 2017 at 12:00 PM (UTC)Stadionul Dinamo-Auto, Ternovca

Dinamo-Auto
0-3
Speranţa Nisporeni

Full time

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

Speranţa Nisporeni won 0-3 on November 4, 2017.

Goalscorers

  • 45′G. BugulovSperanţa Nisporeni
  • 59′S. PlăticăSperanţa Nisporeni
  • 66′V. CrîcimariSperanţa Nisporeni

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo-Auto have 3 wins, 3 draws and 9 defeats; Speranţa Nisporeni have 3, 5 and 7.

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

Dinamo-Auto
DateOpponentScoreCompetition
Oct 29, 2017Milsami Orhei(away)1-2Super Liga
Oct 22, 2017Sheriff Tiraspol(home)0-4Super Liga
Oct 15, 2017Sfîntul Gheorghe(away)0-1Super Liga
Sep 30, 2017Spicul Chișcăreni(away)1-1Super Liga
Sep 23, 2017Petrocub(home)1-0Super Liga
Speranţa Nisporeni
DateOpponentScoreCompetition
Oct 29, 2017Petrocub(home)0-0Super Liga
Oct 20, 2017Zimbru(away)1-2Super Liga
Oct 14, 2017Dacia(home)0-0Super Liga
Sep 30, 2017Zaria Balti(away)0-3Super Liga
Sep 24, 2017Spicul Chișcăreni(home)2-0Super Liga

What does the head-to-head say?

Across the last 4 meetings: 0 Dinamo-Auto win(s), 2 draw(s), 2 Speranţa Nisporeni win(s).

DateScoreCompetition
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: Speranţa Nisporeni vs Dinamo-Auto on Aug 19, 2017

How many goals should we expect?

Dinamo-Auto score 0.7 and concede 1.8 goals per match over their last 15; Speranţa Nisporeni score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo-Auto0.71.837/157/15
Speranţa Nisporeni0.91.459/157/15

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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