Match

Mjallby AIF vs Gais: result 2-0 and analysis

SuperettanRegular Season - 10Kick-off on May 26, 2019 at 01:00 PM (UTC)Strandvallen, Sölvesborg

Mjallby AIF
2-0
Gais

Full time

What was the result of Mjallby AIF vs Gais?

Mjallby AIF won 2-0 on May 26, 2019.

Goalscorers

  • 31′J. BergströmMjallby AIF
  • 77′P. VagićMjallby AIF (pen.)

Official lineup for Mjallby AIF vs Gais

The starting elevens fielded at kick-off.

Mjallby AIF

  1. 16J. Bergström
  1. 7V. Gustafson
  2. 8Bubacarr Jobe
  3. 9J. Nilsson
  4. 11G. Eyjólfsson
  5. 12D. Löfquist
  1. 2A. Terzić
  2. 3Amer Eriksson-Ibragic
  3. 4M. Watson
  4. 5Mohanad Jeahze
  1. 13C. Eriksson

Gais

  1. 10L. Pllana
  2. 13A. Kabashi
  3. 14Nikola Ašćerić
  1. 7Marcus Bergholtz
  2. 8R. Rosenqvist
  3. 20P. Ranđelović
  1. 3A. Wängberg
  2. 5N. Andersén
  3. 21Emil Wahlström
  4. 24Netinho
  1. 30M. Johansson
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Mjallby AIF have 10 wins, 1 draw and 4 defeats; Gais have 5, 6 and 4.

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

Mjallby AIF
DateOpponentScoreCompetition
May 19, 2019Osters IF(away)1-0Superettan
May 15, 2019Trelleborg(home)2-1Superettan
May 12, 2019Syrianska FC(away)2-1Superettan
May 4, 2019Orgryte IS(home)2-1Superettan
Apr 27, 2019Degerfors IF(home)1-0Superettan
Gais
DateOpponentScoreCompetition
May 21, 2019Vasteras SK FK(home)1-1Superettan
May 14, 2019Halmstad(away)2-1Superettan
May 10, 2019IK Frej(home)0-1Superettan
May 5, 2019Jonkopings Sodra(home)1-0Superettan
Apr 28, 2019Syrianska FC(away)0-0Superettan

How many goals should we expect?

Mjallby AIF score 1.8 and concede 1.1 goals per match over their last 15; Gais score 1.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Mjallby AIF1.81.1212/1511/15
Gais1.11.138/155/15

Over the last 15 matches in all competitions.

A question about Mjallby AIF vs Gais?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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