Avispa Fukuoka vs Vissel Kobe 0-1 Score & Prediction Review
J-League - Season 2026/2027 (Round 1)
0–1
On these chances Avispa Fukuoka would usually take 1.5 points and Vissel Kobe 1.2; they took 0 and 3. Bookmakers' favourite: Vissel Kobe.
Calculated by MyGameOdds · xG: our own model
How it works
Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.
Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.
Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.
How we measure →Avispa Fukuoka vs Vissel Kobe stats: how the match was played
J-League
Whether the result matched the chances each side created, measured with our own xG.
Vissel Kobe had clearly more shots on target
Avispa Fukuoka
Vissel Kobe
2
Shots on target
3
1
Big chances
1
3
Corners
1
2
Yellow cards
1
45%
Possession
55%
Avispa Fukuoka vs Vissel Kobe — Our Model vs the Bookmakers
Market check · J-League
How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.
How to read it
Our model’s pick
Vissel Kobe to win
CorrectOur track record
In 3,626 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 47.0% of the time (bookmakers said 46.9%).
Our model’s pick
Yes, both score
WrongThe bookmakers’ favourite was correct: No, not both.
Our track record
In 3,139 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 46.5% of the time: closer to the bookmakers’ 46.4% than to our 50–55%.
Our model’s pick
Under 2.5 goals
CorrectOur track record
In 5,191 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).
Our model’s pick
Under 3.5 goals
CorrectOur track record
In 3,681 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 75.9% of the time (bookmakers said 76.3%).
Our model’s pick
Draw at half-time
WrongOur track record
In 4,247 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 47.8% of the time (bookmakers said 47.3%).
Our model’s pick
Avispa Fukuoka 0–1 goals
CorrectOur track record
In 2,712 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.9% of the time (bookmakers said 67.6%).
Our model’s pick
Vissel Kobe 0–1 goals
CorrectOur track record
In 2,695 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.1% of the time (bookmakers said 63.8%).
Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.
Avispa Fukuoka vs Vissel Kobe 0-1 — How Our Predictions Performed
The prediction cards below show the pre-match probabilities our AI model generated for Avispa Fukuoka vs Vissel Kobe. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.
Winner
X2 68%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
Winner
X2 68%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 65%
Full Time
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 28% | 72% | 54% | 46% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 65% | 35% | 87% | 13% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 35% | 65% | 69% | 31% | |
| 28% | 72% | 61% | 39% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 89% | 11% | 97% | 3% | |
| 85% | 15% | 95% | 5% |
1st Half
1st Score
Half Time/Full Time
2-2
21%
X-1
18%
X-X
17%
1-1
15%
X-2
14%
1-X
5%
2-X
5%
1-2
2%
2-1
2%
Correct Score
1-1
12.3%
0-1
10.7%
1-0
9.3%
1-2
8.5%
0-0
8.4%
0-2
7.7%
2-1
7.4%
2-0
5.2%
2-2
4.9%
1-3
3.7%
0-3
3.5%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score