Match

Diefflen vs Gonsenheim: result 1-0 and analysis

Oberliga - Promotion RoundRh/Pf/S - Promotion Round - 2Kick-off on April 1, 2023 at 12:00 PM (UTC)Parkstadion, Dillingen/Saar

Diefflen
1-0
Gonsenheim

Full time

What was the result of Diefflen vs Gonsenheim?

Diefflen won 1-0 on April 1, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Diefflen have 7 wins, 4 draws and 4 defeats; Gonsenheim have 10, 3 and 2.

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

Diefflen
DateOpponentScoreCompetition
Mar 25, 2023Karbach(away)3-3Oberliga - Promotion Round
Mar 4, 2023Dudenhofen(away)2-3Oberliga - Rheinland-Pfalz / Saar
Feb 25, 2023Hertha Wiesbach(home)2-2Oberliga - Rheinland-Pfalz / Saar
Feb 18, 2023Elversberg II(away)2-1Oberliga - Rheinland-Pfalz / Saar
Dec 3, 2022Arminia Ludwigshafen(home)4-1Oberliga - Rheinland-Pfalz / Saar
Gonsenheim
DateOpponentScoreCompetition
Mar 25, 2023Kaiserslautern II(away)1-1Oberliga - Promotion Round
Mar 5, 2023Ahrweiler BC(home)5-0Oberliga - Rheinland-Pfalz / Saar
Feb 25, 2023Alemannia Waldalgesheim(away)2-1Oberliga - Rheinland-Pfalz / Saar
Feb 18, 2023Mülheim-Kärlich(home)0-0Oberliga - Rheinland-Pfalz / Saar
Feb 1, 2023Hadamar(away)4-0Friendlies Clubs

How many goals should we expect?

Diefflen score 2.5 and concede 1.6 goals per match over their last 15; Gonsenheim score 2.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Diefflen2.51.649/1512/15
Gonsenheim2.70.9510/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Diefflen sit 8th in Oberliga - Promotion Round (46 points from 18 matches) and Gonsenheim sit 4th (53 points from 18 matches).

2023 standings
#ClubPWDLGFGAPts
4Gonsenheim18675703853
8Diefflen187110606346

A question about Diefflen vs Gonsenheim?

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

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