Match

IF Brommapojkarna vs Torino: result 0-3 and analysis

UEFA Europa League3rd Qualifying RoundKick-off on July 31, 2014 at 05:00 PM (UTC)Tele2 Arena, Stockholm

IF Brommapojkarna
0-3
Torino

Full time

What was the result of IF Brommapojkarna vs Torino?

Torino won 0-3 on July 31, 2014.

Goalscorers

  • 45′M. LarrondoTorino (pen.)
  • 53′M. LarrondoTorino
  • 58′BarretoTorino

Official lineup for IF Brommapojkarna vs Torino

The starting elevens fielded at kick-off.

IF Brommapojkarna

  1. 9Dardan Rexhepi
  1. 6J. Karlström
  2. 7Gabriel Petrović
  3. 8S. Martinsson Ngouali
  4. 14N. Bärkroth
  1. 2Pontus Segerström
  2. 5K. Jónsson
  3. 13T. Björkström
  4. 18J. Une-Larsson
  5. 22Martin Filip Falkeborn
  1. 1D. Blažević

Torino

  1. 9M. Larrondo
  2. 10Barreto
  1. 7O. El Kaddouri
  2. 20G. Vives
  3. 23A. Nocerino
  1. 3Cristian Molinaro
  2. 5Cesare Bovo
  3. 24Emiliano Moretti
  4. 25K. Glik
  5. 29M. Vešović
  1. 30D. Padelli
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What is the recent form of both teams?

Over their last 4 matches in all competitions, IF Brommapojkarna have 2 wins, 1 draw and 1 defeat; Torino have 7, 3 and 5.

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

IF Brommapojkarna
DateOpponentScoreCompetition
Jul 24, 2014Crusaders FC(away)1-1UEFA Europa League
Jul 17, 2014Crusaders FC(home)4-0UEFA Europa League
Jul 10, 2014VPS(home)2-0UEFA Europa League
Jul 3, 2014VPS(away)1-2UEFA Europa League
Torino
DateOpponentScoreCompetition
May 18, 2014Fiorentina(away)2-2Serie A
May 11, 2014Parma(home)1-1Serie A
May 4, 2014Chievo(away)1-0Serie A
Apr 27, 2014Udinese(home)2-0Serie A
Apr 19, 2014Lazio(away)3-3Serie A

How many goals should we expect?

IF Brommapojkarna score 2.0 and concede 0.8 goals per match over their last 4; Torino score 1.5 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
IF Brommapojkarna2.00.822/42/4
Torino1.51.229/158/15

Over the last 4 matches in all competitions.

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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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