Verified decisions only: VAR reviews, disallowed goals, penalties and red cards.
Helsingborgs IF
E. Rådahl
Obafemi Awodesu
J. Voelkerling Persson
M. Gudmann
S. Bengtsson
Julian Larsson
D. Amadou
L. Kjellnäs
M. Svensson
O. Addo
Alexander Johansson
Falkenbergs FF
G. Lillienberg
L. Borgström
T. Stålheden
N. Hansson
N. Bertilsson
O. Lindberg
G. Aguda
M. Nilsson
E. Mohammad
Albin Andersson
H. Källström
Match analysis
Finished
Scoreyes
Statisticsyes
Line-upsyes
Pitch animationno
Pressure datano
Model estimateyes
Result verified.
Full time: Helsingborgs IF won 1-0.
Story
Helsingborgs IF vs Falkenbergs FF: the story of the match
34' — Helsingborgs IF took the lead: 1-0. Julian Larsson scored it. Half time: 1-0.
Helsingborgs IF won 1-0.
Chances to win
Model estimate
FT
Start45'90'
Helsingborgs IFDrawFalkenbergs FF
Pre-match model estimate: Helsingborgs IF 43%, draw 25%, Falkenbergs FF 32%.
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): Helsingborgs IF win in 43% of the simulated matches, 25% end level and Falkenbergs FF win 32%. Average goals 2.8; the most likely score is 1-1 (11%); both teams score in 56%. About 10.5 corners on average. About 3.7 yellow cards on average; a red card in 19%.
Previous meetings and form
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
