Match

Southampton vs Wolves: result 0-2 and analysis

League Cup2nd RoundKick-off on August 23, 2017 at 06:45 PM (UTC)St. Mary's Stadium, Southampton, Hampshire

Southampton
0-2
Wolves

Full time

What was the result of Southampton vs Wolves?

Wolves won 0-2 on August 23, 2017.

Goalscorers

  • 67′D. BatthWolves
  • 87′D. WilsonWolves

Official lineup for Southampton vs Wolves

The starting elevens fielded at kick-off.

Southampton

3-4-3
  1. 10C. Austin
  2. 19S. Boufal
  3. 16J. Ward-Prowse
  1. 14Oriol Romeu
  2. 11D. Tadić
  3. 38S. McQueen
  4. 35J. Bednarek
  1. 5J. Stephens
  2. 26Jérémy Pied
  3. 3M. Yoshida
  1. 44F. Forster

Wolves

3-4-3
  1. 7Ivan Cavaleiro
  2. 9N. Dicko
  3. 19J. Price
  1. 11J. Graham
  2. 12B. Marshall
  3. 4D. Edwards
  4. 29Rúben Vinagre
  1. 32S. Deslandes
  2. 6D. Batth
  3. 5R. Bennett
  1. 31W. Norris
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Southampton have 5 wins, 5 draws and 5 defeats; Wolves have 9, 1 and 5.

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

Southampton
DateOpponentScoreCompetition
Aug 19, 2017West Ham(home)3-2Premier League
Aug 12, 2017Swansea(home)0-0Premier League
May 21, 2017Stoke City(home)0-1Premier League
May 17, 2017Manchester United(home)0-0Premier League
May 13, 2017Middlesbrough(away)2-1Premier League
Wolves
DateOpponentScoreCompetition
Aug 19, 2017Cardiff(home)1-2Championship
Aug 15, 2017Hull City(away)3-2Championship
Aug 12, 2017Derby(away)2-0Championship
Aug 8, 2017Yeovil Town(home)1-0League Cup
Aug 5, 2017Middlesbrough(home)1-0Championship

How many goals should we expect?

Southampton score 1.1 and concede 1.3 goals per match over their last 15; Wolves score 1.3 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Southampton1.11.366/157/15
Wolves1.31.076/156/15

Over the last 15 matches in all competitions.

A question about Southampton vs Wolves?

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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