Match

TTM vs Ajax Cape Town: result 1-0 and analysis

1st DivisionRegular Season - 9Kick-off on November 9, 2022 at 01:30 PM (UTC)Thohoyandou Stadium, Thohoyandou

TTM
1-0
Ajax Cape Town

Full time

What was the result of TTM vs Ajax Cape Town?

TTM won 1-0 on November 9, 2022.

Goalscorers

  • 55′M. SekolaTTM

Official lineup for TTM vs Ajax Cape Town

The starting elevens fielded at kick-off.

TTM

  1. TT. Nkoana
  2. MM. Sekola
  1. II. Sarr
  2. EE. Mkhabela
  3. EE. Nene
  4. XX. Nkala
  5. JJ. Netshilindi
  6. TT. Nkabinde
  1. LL. Mpeta
  2. SS. Fakude
  1. GG. Kock

Ajax Cape Town

  1. TT. Moosa
  2. AA. Cupido
  1. CC. Ryan
  2. CC. Butsaka
  3. KK. Mfecane
  1. NN. Allie
  2. CC. Daniels
  3. JJ. Moroole
  4. CC. Stander
  5. RR. Dortley
  1. ZZ. Dlamini
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TTM have 7 wins, 2 draws and 6 defeats; Ajax Cape Town have 4, 8 and 3.

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

TTM
DateOpponentScoreCompetition
Nov 4, 2022JDR Stars(away)0-11st Division
Oct 30, 2022Hungry Lions(away)0-31st Division
Oct 17, 2022Polokwane City(away)1-21st Division
Oct 12, 2022Black Leopards(home)0-11st Division
Oct 8, 2022Baroka FC(away)2-11st Division
Ajax Cape Town
DateOpponentScoreCompetition
Nov 5, 2022Venda FC(home)2-11st Division
Oct 17, 2022MM Platinum(home)3-11st Division
Oct 12, 2022Cape Town ALL Stars(away)0-01st Division
Oct 7, 2022Polokwane City(home)2-01st Division
Oct 3, 2022Platinum City Rovers(away)1-11st Division

How many goals should we expect?

TTM score 1.4 and concede 1.1 goals per match over their last 15; Ajax Cape Town score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TTM1.41.137/157/15
Ajax Cape Town1.21.0410/156/15

Over the last 15 matches in all competitions.

A question about TTM vs Ajax Cape Town?

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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