Mito Hollyhock vs Gamba Osaka 1-1 Score & Prediction Review
J-League - Season 2026/2027 (Round 2)
1–1
On these chances Mito Hollyhock would usually take 1.1 points and Gamba Osaka 1.7; they took 1 and 1. Bookmakers' favourite: Mito Hollyhock.
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 →Mito Hollyhock vs Gamba Osaka stats: how the match was played
J-League
Whether the result matched the chances each side created, measured with our own xG.
Level on shots on target
Mito Hollyhock
Gamba Osaka
4
Shots on target
4
1
Big chances
3
9
Corners
9
1
Yellow cards
0
31%
Possession
69%
Mito Hollyhock vs Gamba Osaka — 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
Gamba Osaka to win
WrongThe bookmakers’ favourite was wrong: Mito Hollyhock to win.
Our track record
In 113 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 26.5% of the time: closer to the bookmakers’ 30.6% than to our 50–55%.
Our model’s pick
Yes, both score
CorrectOur track record
In 6,501 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).
Our model’s pick
Over 2.5 goals
WrongThe bookmakers’ favourite was correct: Under 2.5 goals.
Our track record
In 2,855 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 44.2% of the time: closer to the bookmakers’ 45.2% than to our 50–55%.
Our model’s pick
Under 3.5 goals
CorrectOur track record
In 4,587 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.3% of the time (bookmakers said 71.6%).
Our model’s pick
Draw at half-time
WrongOur track record
In 6,723 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.7% of the time (bookmakers said 44.2%).
Our model’s pick
Mito Hollyhock 0–1 goals
CorrectOur track record
In 1,588 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.5% of the time (bookmakers said 72.0%).
Our model’s pick
Gamba Osaka 0–1 goals
CorrectOur track record
In 1,014 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.6% of the time (bookmakers said 59.2%).
Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.
Mito Hollyhock vs Gamba Osaka 1-1 — How Our Predictions Performed
The prediction cards below show the pre-match probabilities our AI model generated for Mito Hollyhock vs Gamba Osaka. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.
Winner
2 52%
BTTS*
Yes 51%
Correct Score
0-1 11%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Winner
2 52%
BTTS*
Yes 51%
Correct Score
0-1 11%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Full Time
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 25% | 75% | 49% | 51% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 61% | 39% | 83% | 17% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 41% | 59% | 74% | 26% | |
| 20% | 80% | 51% | 49% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 91% | 9% | 98% | 2% | |
| 77% | 23% | 91% | 9% |
1st Half
1st Score
Half Time/Full Time
2-2
30%
X-2
22%
X-X
15%
1-1
11%
X-1
9%
1-X
5%
2-X
4%
1-2
3%
2-1
1%
Correct Score
0-1
11.3%
1-1
11.2%
1-2
9.9%
0-2
9.3%
1-0
6.8%
0-0
6.5%
2-1
6.0%
1-3
5.2%
2-2
5.0%
0-3
5.0%
2-0
3.4%
2-3
3.0%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score