Match

Prato vs Lupa Roma: result 1-2 and analysis

Serie C - Girone ARegular Season - 11Kick-off on October 30, 2016 at 01:30 PM (UTC)Stadio Lungobisenzio, Prato

Prato
1-2
Lupa Roma

Full time

What was the result of Prato vs Lupa Roma?

Lupa Roma won 1-2 on October 30, 2016.

Goalscorers

  • 64′209166Prato
  • 75′G. La CameraLupa Roma
  • 90′L. BaldassinLupa Roma

Official lineup for Prato vs Lupa Roma

The starting elevens fielded at kick-off.

Prato

  1. 6A. Romano
  2. 10F. Tavano
  3. 16A. Sowe
  4. 18R. Ogunseye
  1. 20Luca Checchin
  2. 8D. Carcuro
  1. 5R. Martinelli
  2. 14F. Danese
  3. 29G. Tomi
  4. 32A. Beduschi
  1. 27Rino Iuliano

Lupa Roma

  1. 5G. La Camera
  2. 8Daniele Proia
  3. 14L. Baldassin
  4. 2M. Rosato
  5. 16A. Mastropietro
  6. 19C. Cafiero
  7. 21A. Corvesi
  1. 3A. Celli
  2. 4M. Sfanò
  3. 15Rubén Palomeque Juárez
  1. 1T. Švedkauskas
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Prato have 1 win, 2 draws and 7 defeats; Lupa Roma have 1, 4 and 5.

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

Prato
DateOpponentScoreCompetition
Oct 23, 2016Lucchese(away)0-3Serie C - Girone A
Oct 16, 2016PRO Piacenza(home)1-0Serie C - Girone A
Oct 9, 2016Como(home)0-1Serie C - Girone A
Oct 2, 2016Renate(away)0-2Serie C - Girone A
Sep 25, 2016Robur Siena(home)1-2Serie C - Girone A
Lupa Roma
DateOpponentScoreCompetition
Oct 23, 2016Giana Erminio(home)0-0Serie C - Girone A
Oct 16, 2016Pontedera(away)0-0Serie C - Girone A
Oct 9, 2016Lucchese(away)0-4Serie C - Girone A
Oct 2, 2016Viterbese(home)0-1Serie C - Girone A
Sep 25, 2016Racing Roma(away)0-2Serie C - Girone A

How many goals should we expect?

Prato score 0.6 and concede 1.9 goals per match over their last 10; Lupa Roma score 0.6 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Prato0.61.913/105/10
Lupa Roma0.61.443/104/10

Over the last 10 matches in all competitions.

A question about Prato vs Lupa Roma?

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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