Match

Beitar Kfar Saba vs Dimona: result 1-2 and analysis

Liga AlefSouth - 2Kick-off on September 15, 2017 at 10:15 AM (UTC)Levita Stadium, Kfar-Saba

Beitar Kfar Saba
1-2
Dimona

Full time

What was the result of Beitar Kfar Saba vs Dimona?

Dimona won 1-2 on September 15, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Beitar Kfar Saba have 2 wins, 5 draws and 8 defeats; Dimona have 9, 2 and 4.

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

Beitar Kfar Saba
DateOpponentScoreCompetition
Sep 8, 2017Maccabi Kabilio Jaffa(away)2-0Liga Alef
Apr 28, 2017Hakoah Ramat Gan(away)0-1Liga Alef
Apr 21, 2017Hapoel Marmorek(home)1-2Liga Alef
Apr 14, 2017Hapoel Kfar Shalem(away)3-4Liga Alef
Apr 7, 2017Hapoel Mahane Yehuda(home)0-0Liga Alef
Dimona
DateOpponentScoreCompetition
Sep 8, 2017Hapoel Kfar Shalem(home)0-0Liga Alef
Apr 27, 2017Hapoel Mahane Yehuda(away)4-2Liga Alef
Apr 21, 2017Maccabi Kabilio Jaffa(home)2-1Liga Alef
Apr 14, 2017Hapoel Hod HaSharon(away)1-0Liga Alef
Apr 7, 2017Shikun HaMizrah(home)4-1Liga Alef

What does the head-to-head say?

Across the last 2 meetings: 0 Beitar Kfar Saba wins, 1 draw, 1 Dimona win.

DateScoreCompetition
Feb 24, 2017Dimona 1-0 Beitar Kfar SabaLiga Alef
Oct 21, 2016Beitar Kfar Saba 0-0 DimonaLiga Alef

Last archived meeting: Dimona vs Beitar Kfar Saba on Feb 24, 2017

How many goals should we expect?

Beitar Kfar Saba score 0.8 and concede 1.4 goals per match over their last 15; Dimona score 1.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Beitar Kfar Saba0.81.445/155/15
Dimona1.61.549/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Dimona221147293037

A question about Beitar Kfar Saba vs Dimona?

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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