Match

Pattensen vs Gifhorn: result 2-4 and analysis

Oberliga - NiedersachsenNiedersachsen - 27Kick-off on March 26, 2023 at 01:00 PM (UTC)

Pattensen
2-4
Gifhorn

Full time

What was the result of Pattensen vs Gifhorn?

Gifhorn won 2-4 on March 26, 2023.

Goalscorers

  • 7′?Pattensen
  • 34′?Pattensen
  • 42′?Gifhorn
  • 51′?Gifhorn
  • 75′?Gifhorn
  • 89′?Gifhorn

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pattensen have 5 wins, 0 draws and 10 defeats; Gifhorn have 3, 5 and 7.

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

Pattensen
DateOpponentScoreCompetition
Mar 19, 2023Germania Egestorf(away)1-2Oberliga - Niedersachsen
Mar 5, 2023Rotenburger SV(away)0-1Oberliga - Niedersachsen
Feb 18, 2023Schöningen(away)1-3Oberliga - Niedersachsen
Feb 12, 2023Ahlerstedt / Ottendorf(home)1-0Oberliga - Niedersachsen
Dec 4, 2022Heeslinger SC(away)1-3Oberliga - Niedersachsen
Gifhorn
DateOpponentScoreCompetition
Mar 19, 2023Spelle-Venhaus(home)0-2Oberliga - Niedersachsen
Mar 5, 2023FT Braunschweig(home)4-1Oberliga - Niedersachsen
Feb 26, 2023HSC Hannover(away)1-1Oberliga - Niedersachsen
Feb 19, 2023Lüneburger SK Hansa(home)0-1Oberliga - Niedersachsen
Feb 12, 2023VfL Oldenburg(away)2-3Oberliga - Niedersachsen

What does the head-to-head say?

In the last meeting: 1 Pattensen win, 0 draws, 0 Gifhorn wins.

DateScoreCompetition
Sep 30, 2022Gifhorn 0-2 PattensenOberliga - Niedersachsen

Last archived meeting: Gifhorn vs Pattensen on Sep 30, 2022

How many goals should we expect?

Pattensen score 1.1 and concede 2.1 goals per match over their last 15; Gifhorn score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pattensen1.12.147/1511/15
Gifhorn1.31.919/157/15

Over the last 15 matches in all competitions.

A question about Pattensen vs Gifhorn?

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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