Match

ACS Foresta Suceava vs Viitorul Darabani: prediction and stats

Liga III - Serie 1Group 1 - 12Kick-off on November 11, 2023 at 12:00 PM (UTC)Stadionul Areni, Suceava

ACS Foresta SuceavaViitorul Darabani

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, ACS Foresta Suceava have 9 wins, 4 draws and 2 defeats; Viitorul Darabani have 3, 3 and 9.

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

ACS Foresta Suceava
DateOpponentScoreCompetition
Nov 4, 2023CSM FC Vaslui(away)4-3Liga III - Serie 1
Oct 28, 2023Rapid Brodoc(home)5-1Liga III - Serie 1
Oct 20, 2023Aerostar Bacau(away)0-1Liga III - Serie 1
Oct 14, 2023CSM Bacău(home)2-0Liga III - Serie 1
Oct 6, 2023FC Bacau(away)1-1Liga III - Serie 1
Viitorul Darabani
DateOpponentScoreCompetition
Sep 22, 2023FC Bacau(away)0-3Liga III - Serie 1
Sep 16, 2023Bucovina Rădăuţi(home)1-10Liga III - Serie 1
Sep 9, 2023ACS Foresta Suceava(home)0-3Liga III - Serie 1
Sep 2, 2023Rapid Brodoc(away)0-4Liga III - Serie 1
Aug 26, 2023CSM Bacău(home)2-2Liga III - Serie 1

What does the head-to-head say?

Across the last 4 meetings: 3 ACS Foresta Suceava win(s), 0 draw(s), 1 Viitorul Darabani win(s).

DateScoreCompetition
Sep 9, 2023Viitorul Darabani 0-3 ACS Foresta SuceavaLiga III - Serie 1
Nov 19, 2022Viitorul Darabani 0-1 ACS Foresta SuceavaLiga III - Serie 1
Sep 17, 2022ACS Foresta Suceava 3-1 Viitorul DarabaniLiga III - Serie 1
Sep 14, 2022Viitorul Darabani 2-1 ACS Foresta SuceavaCupa României

Last archived meeting: Viitorul Darabani vs ACS Foresta Suceava on Sep 9, 2023

How many goals should we expect?

ACS Foresta Suceava score 2.2 and concede 1.0 goals per match over their last 15; Viitorul Darabani score 0.8 and concede 2.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
ACS Foresta Suceava2.21.058/156/15
Viitorul Darabani0.82.435/159/15

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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