Giravanz Kitakyushu vs Reilac Shiga FC live score, 03/11/2026
Match info
Last 5 matches
More- Giravanz KitakyushuWLWLWScored in 3 matches in a row
- Reilac Shiga FCLLLDDNo win in 6 matches
Line-ups
Line-ups not announced yetOfficial line-ups usually come about an hour before kick-off.
Giravanz Kitakyushu and Reilac Shiga FC meet on in J-League 3.
Pre-match analysis
Not started
- Scoreno
- Statisticsno
- Line-upsyes
- Pitch animationno
- Pressure datano
- Model estimateyes
Before kick-off the model leans towards Giravanz Kitakyushu (47%).
Chances to win
Model estimate
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.
Preview
Giravanz Kitakyushu vs Reilac Shiga FC: preview
Giravanz Kitakyushu have won 3, drawn 0 and lost 2 of their last 5 matches. Giravanz Kitakyushu have scored in 3 matches in a row. 7 of Giravanz Kitakyushu's last 10 matches had 3 or more goals, and both sides scored in 7. Reilac Shiga FC have won 0, drawn 2 and lost 3 of their last 5 matches. Reilac Shiga FC have not won in 6 matches. 6 of Reilac Shiga FC's last 10 matches had 3 or more goals, and both sides scored in 4.
Our pre-match model estimate: Giravanz Kitakyushu 47%, draw 25%, Reilac Shiga FC 28%.
Match simulation
Model estimate · 20,000 simulationsModel simulation (20,000 runs): Giravanz Kitakyushu win in 47% of the simulated matches, 25% end level and Reilac Shiga FC win 28%. Average goals 2.6; the most likely score is 1-1 (12%); both teams score in 51%.
The percentages in this tab are estimates of the ScoreMondo statistical model, not certainties.

