Match

Metalleghe-BSI Jajce vs Sloga: result 2-2 and analysis

1st League - FBiHRegular Season - 16Kick-off on March 11, 2018 at 02:00 PM (UTC)Stadion Mračaj, Jajce

Metalleghe-BSI Jajce
2-2
Sloga

Full time

What was the result of Metalleghe-BSI Jajce vs Sloga?

Metalleghe-BSI Jajce and Sloga drew 2-2 on March 11, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Metalleghe-BSI Jajce have 4 wins, 4 draws and 7 defeats; Sloga have 10, 2 and 3.

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

Metalleghe-BSI Jajce
DateOpponentScoreCompetition
Nov 11, 2017Igman Konjic(home)1-01st League - FBiH
Nov 4, 2017Čapljina(away)2-31st League - FBiH
Oct 28, 2017Velež(home)1-31st League - FBiH
Oct 21, 2017Rudar Kakanj(away)1-41st League - FBiH
Oct 14, 2017Iskra(home)1-01st League - FBiH
Sloga
DateOpponentScoreCompetition
Nov 12, 2017Slaven Živinice(home)3-01st League - FBiH
Nov 4, 2017Igman Konjic(away)1-11st League - FBiH
Oct 29, 2017Čapljina(home)2-11st League - FBiH
Oct 21, 2017Velež(away)0-31st League - FBiH
Oct 15, 2017Rudar Kakanj(home)3-01st League - FBiH

What does the head-to-head say?

In the last meeting: 0 Metalleghe-BSI Jajce wins, 0 draws, 1 Sloga win.

DateScoreCompetition
Aug 6, 2017Sloga 2-0 Metalleghe-BSI Jajce1st League - FBiH

Last archived meeting: Sloga vs Metalleghe-BSI Jajce on Aug 6, 2017

How many goals should we expect?

Metalleghe-BSI Jajce score 1.1 and concede 1.5 goals per match over their last 15; Sloga score 1.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Metalleghe-BSI Jajce1.11.559/157/15
Sloga1.90.793/156/15

Over the last 15 matches in all competitions.

A question about Metalleghe-BSI Jajce vs Sloga?

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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