Match

Free State Stars vs Bloem Celtic: result 0-0 and analysis

Premier Soccer LeagueRegular Season - 2Kick-off on September 14, 2016 at 05:30 PM (UTC)Goble Park Stadium, Bethlehem, FS

Free State Stars
0-0
Bloem Celtic

Full time

What was the result of Free State Stars vs Bloem Celtic?

Free State Stars and Bloem Celtic drew 0-0 on September 14, 2016.

Official lineup for Free State Stars vs Bloem Celtic

The starting elevens fielded at kick-off.

Free State Stars

  1. 23M. Sekola
  2. 27H. Kiiza
  1. 13Charles Kampi
  2. 20Katlego Mashego
  3. 26Goodman Sthembiso Dlamini
  4. 45Armand Ken Ella
  5. 50N. Vilakazi
  1. 6Davies Nkausu
  2. 22David Carl Booysen
  3. 24Bokang Thato Thlone
  1. 32T. Ngobeni

Bloem Celtic

  1. 14F. Abdul Razak
  1. 12K. Mahlasela
  2. 15K. Masuku
  1. 3M. Dube
  2. 4Musa Bloffis Nyatama
  3. 5W. Letlabika
  4. 7L. Lakay
  5. 19Sibusiso Mthetheleli Mxoyana
  6. 22M. Rikhotso
  7. 27A. Ndengane
  1. 30Amour Patrick Tignyemb
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What is the recent form of both teams?

In their last match in all competitions, Free State Stars have 0 wins, 0 draws and 1 defeat; Bloem Celtic have 0, 0 and 1.

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

Free State Stars
DateOpponentScoreCompetition
Aug 23, 2016Chippa United(away)1-2Premier Soccer League
Bloem Celtic
DateOpponentScoreCompetition
Aug 24, 2016Maritzburg Utd(home)0-1Premier Soccer League

How many goals should we expect?

Free State Stars score 1.0 and concede 2.0 goals per match in their last match; Bloem Celtic score 0.0 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Free State Stars1.02.001/11/1
Bloem Celtic0.01.000/10/1

Over the last match in all competitions.

A question about Free State Stars vs Bloem Celtic?

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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