Match

Foggia vs Padova: result 2-1 and analysis

Serie BRegular Season - 5Kick-off on September 26, 2018 at 07:00 PM (UTC)Stadio Comunale Pino Zaccheria, Foggia

Foggia
2-1
Padova

Full time

What was the result of Foggia vs Padova?

Foggia won 2-1 on September 26, 2018.

Goalscorers

  • 8′D. MazzoccoPadova
  • 62′O. KraglFoggia
  • 85′E. CicerelliFoggia

Official lineup for Foggia vs Padova

The starting elevens fielded at kick-off.

Foggia

3-4-3
  1. 10F. Deli
  2. 19Fabio Mazzeo
  3. 18C. Galano
  1. 8M. Carraro
  2. 30M. Busellato
  3. 25A. Gerbo
  4. 11O. Kragl
  1. 6G. Loiacono
  2. 31M. Camporese
  3. 14L. Martinelli
  1. 1A. Bizzarri

Padova

3-4-3
  1. 28A. Capello
  2. 27F. Bonazzoli
  3. 18D. Mazzocco
  1. 10V. Sarno
  2. 25L. Belingheri
  3. 20L. Ravanelli
  4. 3S. Contessa
  1. 23D. Cappelletti
  2. 5T. Trevisan
  3. 13Daniele Capelli
  1. 22D. Merelli
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Foggia have 5 wins, 3 draws and 7 defeats; Padova have 5, 7 and 3.

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

Foggia
DateOpponentScoreCompetition
Sep 22, 2018Pescara(away)0-1Serie B
Sep 16, 2018Palermo(home)1-2Serie B
Sep 2, 2018Crotone(away)1-4Serie B
Aug 26, 2018Carpi(home)4-2Serie B
Aug 5, 2018Catania(home)1-3Coppa Italia
Padova
DateOpponentScoreCompetition
Sep 23, 2018Cremonese(home)1-1Serie B
Sep 16, 2018Salernitana(away)0-3Serie B
Sep 1, 2018Venezia(home)1-0Serie B
Aug 26, 2018Hellas Verona(away)1-1Serie B
Aug 12, 2018Bologna(away)0-2Coppa Italia

How many goals should we expect?

Foggia score 1.6 and concede 1.7 goals per match over their last 15; Padova score 0.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Foggia1.61.7310/1512/15
Padova0.90.957/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
10Padova6213587

A question about Foggia vs Padova?

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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