Imabari vs Nara Club: result 5-2 and analysis
Japan Football League2nd Phase - 11Kick-off on October 14, 2017 at 04:00 AM (UTC)Imabari Satoyama Stadium, Imabari
Full time
What was the result of Imabari vs Nara Club?
Imabari won 5-2 on October 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Imabari have 7 wins, 5 draws and 3 defeats; Nara Club have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2017 | Tokyo Musashino City(home) | 5-0 | Japan Football League |
| Sep 24, 2017 | Vanraure Hachinohe(home) | 1-2 | Japan Football League |
| Sep 18, 2017 | Osaka(away) | 2-2 | Japan Football League |
| Sep 10, 2017 | Verspah Oita(home) | 3-1 | Japan Football League |
| Aug 27, 2017 | Reinmeer Aomori(away) | 2-2 | Japan Football League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2017 | Urayasu(home) | 2-2 | Japan Football League |
| Sep 24, 2017 | Sony Sendai(home) | 2-0 | Japan Football League |
| Sep 17, 2017 | Vanraure Hachinohe(away) | 1-1 | Japan Football League |
| Sep 10, 2017 | Honda(home) | 0-4 | Japan Football League |
| Aug 27, 2017 | Verspah Oita(away) | 2-1 | Japan Football League |
What does the head-to-head say?
In the last meeting: 0 Imabari wins, 1 draw, 0 Nara Club wins.
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2017 | Nara Club 3-3 Imabari | Japan Football League |
How many goals should we expect?
Imabari score 1.9 and concede 1.1 goals per match over their last 15; Nara Club score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Imabari | 1.9 | 1.1 | 5 | 9/15 | 9/15 |
| Nara Club | 1.5 | 1.3 | 4 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Imabari vs Nara Club?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy