Verified decisions only: VAR reviews, disallowed goals, penalties and red cards.
Match analysis
Finished
Scoreyes
Statisticsyes
Line-upsno
Pitch animationno
Pressure datano
Model estimateyes
Result verified.
Full time: 0-0.
Story
Forli FC vs US Pianese: the story of the match
Half time: 0-0.
The match ended 0-0.
Chances to win
Model estimate
FT
Start45'90'
Forli FCDrawUS Pianese
Pre-match model estimate: Forli FC 47%, draw 26%, US Pianese 27%.
How is this calculated?
This is our own statistical model: before kick-off, each team's strength comes from a global team rating built on our results — every league and cup on one scale, linked through European and other cross-league matches — blended with the league's own results when both teams play in it. During the match it is updated with the minute, the score, red cards and the last 15 minutes of pressure (a Poisson goal model with the Dixon-Coles correction for low scores). Without enough data on both teams we show no percentages. It is a probability, not a certainty.
Who is pressing?
No detailed data in this league — the pressure index is not guessed.
Match simulation
Model estimate · 20,000 simulations
What the pre-match simulation said
Preparing the simulation…
Before kick-off: Model simulation (20,000 runs): Forli FC win in 47% of the simulated matches, 26% end level and US Pianese win 27%. Average goals 2.5; the most likely score is 1-0 (13%); both teams score in 49%. About 9.1 corners on average. About 4.0 yellow cards on average; a red card in 17%.
Previous meetings and form
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
The shot count read 8-7, 2-1 on target. Corners finished 8-7.
The bigger picture
The wait for a win goes on for Forli FC: 7 matches now. US Pianese are now unbeaten in 4 matches. Across 5 meetings in our records: 2 wins for US Pianese and 3 draws.
Coming up
Forli FC's next match is away to Campobasso FC on 1 November. US Pianese visit Latina Calcio 1932 next, on 1 November in Serie C, Group B.
This text is written automatically from our match data; every number and name in it comes from that data.