Match

Royal AM vs Moroka Swallows: result 0-0 and analysis

1st DivisionRegular Season - 7Kick-off on October 6, 2019 at 01:30 PM (UTC)Mpumalanga Stadium, Mpumalanga

Royal AM
0-0
Moroka Swallows

Full time

What was the result of Royal AM vs Moroka Swallows?

Royal AM and Moroka Swallows drew 0-0 on October 6, 2019.

Official lineup for Royal AM vs Moroka Swallows

The starting elevens fielded at kick-off.

Royal AM

  1. LLesvin Johnath Stoffels
  2. LL. Mashiane
  3. MM. Sekola
  1. MM. Wambi
  2. LL. Phewa
  3. VV. Bakah
  4. WW. Shezi
  1. MM. Nene
  2. LL. Manganyi
  3. PP. Cele
  1. HH. Nyamé

Moroka Swallows

  1. KK. Malinga
  2. II. Shopane
  1. LLebohang Lefalamang Mokoena
  2. BB. Burds
  3. PPatrick Meso
  4. TT. Mthethwa
  5. MM. Chagi
  1. VV. Mere
  2. SS. Sibiya
  3. EE. Seema
  1. VV. Vries
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Royal AM have 1 win, 3 draws and 3 defeats; Moroka Swallows have 1, 1 and 4.

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

Royal AM
DateOpponentScoreCompetition
Sep 29, 2019University of Pretoria(home)3-31st Division
Sep 21, 2019Royal Eagles(away)2-21st Division
Sep 15, 2019Jomo Cosmos(away)2-11st Division
Aug 31, 2019TS Galaxy(home)1-11st Division
Aug 25, 2019JDR Stars(home)0-21st Division
Moroka Swallows
DateOpponentScoreCompetition
Sep 22, 2019Steenberg United(away)1-21st Division
Sep 14, 2019Royal Eagles(home)3-21st Division
Aug 31, 2019Marumo Gallants(away)0-31st Division
Aug 23, 2019Cape Umoya United(away)0-11st Division
Aug 17, 2019Ts Sporting(home)1-11st Division

How many goals should we expect?

Royal AM score 1.3 and concede 1.9 goals per match over their last 7; Moroka Swallows score 1.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Royal AM1.31.905/74/7
Moroka Swallows1.02.004/64/6

Over the last 7 matches in all competitions.

A question about Royal AM vs Moroka Swallows?

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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