Match

TIAMO Hirakata vs Sony Sendai: result 2-3 and analysis

Japan Football LeagueRegular Season - 14Kick-off on July 2, 2022 at 05:30 AM (UTC)Hirakata City Stadium, Hirakata

TIAMO Hirakata
2-3
Sony Sendai

Full time

What was the result of TIAMO Hirakata vs Sony Sendai?

Sony Sendai won 2-3 on July 2, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, TIAMO Hirakata have 5 wins, 3 draws and 7 defeats; Sony Sendai have 3, 6 and 6.

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

TIAMO Hirakata
DateOpponentScoreCompetition
Jun 25, 2022Honda Lock(away)1-0Japan Football League
Jun 18, 2022Tokyo Musashino City(home)0-2Japan Football League
Jun 12, 2022Criacao Shinjuku(away)2-4Japan Football League
Jun 4, 2022Maruyasu Okazaki(home)0-0Japan Football League
May 29, 2022Reinmeer Aomori(away)1-2Japan Football League
Sony Sendai
DateOpponentScoreCompetition
Jun 26, 2022Nara Club(away)0-0Japan Football League
Jun 18, 2022Honda Lock(home)0-0Japan Football League
Jun 11, 2022Tokyo Musashino City(away)1-1Japan Football League
Jun 8, 2022Yokohama FC(away)3-3Emperor Cup
Jun 4, 2022Criacao Shinjuku(home)2-3Japan Football League

What does the head-to-head say?

Across the last 2 meetings: 2 TIAMO Hirakata win(s), 0 draw(s), 0 Sony Sendai win(s).

DateScoreCompetition
Nov 27, 2021TIAMO Hirakata 6-1 Sony SendaiJapan Football League
May 1, 2021Sony Sendai 1-2 TIAMO HirakataJapan Football League

Last archived meeting: TIAMO Hirakata vs Sony Sendai on Nov 27, 2021

How many goals should we expect?

TIAMO Hirakata score 1.8 and concede 1.7 goals per match over their last 15; Sony Sendai score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TIAMO Hirakata1.81.749/159/15
Sony Sendai0.91.346/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
4TIAMO Hirakata3015510584250

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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