2' — PK-35 Helsinki took the lead: 1-0. S. Uchiyama scored it. 27' — FF Jaro equalised: 1-1. J. Myrevik scored it. Half time: 1-1.
The match ended 1-1.
Chances to win
Model estimate
FT
Start45'90'
PK-35 HelsinkiDrawFF Jaro
Pre-match model estimate: PK-35 Helsinki 49%, draw 25%, FF Jaro 26%.
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): PK-35 Helsinki win in 49% of the simulated matches, 25% end level and FF Jaro win 26%. Average goals 2.7; the most likely score is 1-1 (12%); both teams score in 54%.
Previous meetings and form
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.
S. Uchiyama opened the scoring for PK-35 Helsinki after 2 minutes, set up by J. Pikkuhookana. The officials disallowed a PK-35 Helsinki goal on 6 minutes. J. Myrevik equalised for FF Jaro at 1-1 after 27 minutes, set up by J. Skau. PK-35 Helsinki had a goal ruled out in the 30th minute. Half-time: 1-1 between PK-35 Helsinki and FF Jaro.
The statistics
The shot count read 6-9, 3-4 on target. Corners finished 5-5. Dangerous attacks: 212 for FF Jaro, 170 for PK-35 Helsinki.
What the result means
FF Jaro are now unbeaten in 5 matches. Across 11 meetings in our records: 5 wins for PK-35 Helsinki, 4 wins for FF Jaro and 2 draws.
This text is written automatically from our match data; every number and name in it comes from that data.
