Match

Papenburg vs Arminia Hannover: result 4-1 and analysis

Oberliga - NiedersachsenNiedersachsen - 20Kick-off on February 5, 2023 at 01:00 PM (UTC)Parkstadion Obenende, Papenburg

Papenburg
4-1
Arminia Hannover

Full time

What was the result of Papenburg vs Arminia Hannover?

Papenburg won 4-1 on February 5, 2023.

Goalscorers

  • 2′?Papenburg
  • 12′Luis Prior-BautistaArminia Hannover
  • 55′?Papenburg
  • 65′?Papenburg
  • 73′?Papenburg

What is the recent form of both teams?

Over their last 15 matches in all competitions, Papenburg have 4 wins, 2 draws and 9 defeats; Arminia Hannover have 3, 3 and 9.

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

Papenburg
DateOpponentScoreCompetition
Jan 29, 2023Lupo-Martini(home)0-1Oberliga - Niedersachsen
Jan 21, 2023Kickers Emden(home)3-3Friendlies Clubs
Dec 10, 2022Lüneburger SK Hansa(home)2-0Oberliga - Niedersachsen
Dec 4, 2022VfL Oldenburg(away)0-3Oberliga - Niedersachsen
Nov 27, 2022Arminia Hannover(away)3-1Oberliga - Niedersachsen
Arminia Hannover
DateOpponentScoreCompetition
Jan 18, 2023Hannover 96 II(away)0-6Friendlies Clubs
Dec 10, 2022Gifhorn(away)1-1Oberliga - Niedersachsen
Dec 4, 2022Germania Egestorf(home)0-4Oberliga - Niedersachsen
Nov 27, 2022Papenburg(home)1-3Oberliga - Niedersachsen
Nov 20, 2022Rotenburger SV(away)0-3Oberliga - Niedersachsen

What does the head-to-head say?

Across the last 1 meetings: 1 Papenburg win(s), 0 draw(s), 0 Arminia Hannover win(s).

DateScoreCompetition
Nov 27, 2022Arminia Hannover 1-3 PapenburgOberliga - Niedersachsen

Last archived meeting: Arminia Hannover vs Papenburg on Nov 27, 2022

How many goals should we expect?

Papenburg score 1.7 and concede 2.8 goals per match over their last 15; Arminia Hannover score 1.7 and concede 2.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Papenburg1.72.8110/1511/15
Arminia Hannover1.72.719/1511/15

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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