Always chasing
8/10Adelaide United conceded first in 8 of their last 10 (league 47%).
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Sydney vs Adelaide United Prediction, Stats & Betting Tips
A-League Men - Season 2026/2027 (Round 2)
Wasteful
Adelaide United are scoring fewer goals than their chances (xG) usually bring
−3goals fewer than their chances (xG) in their last 10
77% of teams scoring this many fewer goals than their chances scored more in their next 10 games.
Bookmakers: Adelaide United 32% to winSydney 42%
Sydney vs Adelaide United score prediction
A-League Men
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Evenly matched in front of goal
2.7 goals in total, a little under the A-League Men average of 2.9.
goals expected
Sydney1.5Adelaide United1.3Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Sydney vs Adelaide United: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Sydney vs Adelaide United — Our Model vs the Bookmakers
Market check · A-League Men
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Disagrees with bookmakers
Our model’s pick
Adelaide United to win
Our model 37%Bookmakers 32%
Our track record
In 1,530 matches over the last 12 months where our model gave the same pick a 35–40% chance but the bookmakers favoured a different outcome, it came true 28.8% of the time: closer to the bookmakers’ 29.5% than to our 35–40%.
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 57%Bookmakers 60%
Our track record
In 5,708 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.9% of the time (bookmakers said 57.8%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 54%Bookmakers 55%
Our track record
In 5,162 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.4%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 68%Bookmakers 66%
Our track record
In 3,966 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.4% of the time (bookmakers said 66.8%).
First Half Result →Agrees with bookmakers
Our model’s pick
Draw at half-time
Our model 39%Bookmakers 41%
Our track record
In 2,019 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 40.2% of the time (bookmakers said 41.2%).
Sydney Goals →Agrees with bookmakers
Our model’s pick
Sydney 0–1 goals
Our model 61%Bookmakers 52%
Our track record
In 3,467 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.9% of the time (bookmakers said 63.9%).
Adelaide United Goals →Agrees with bookmakers
Our model’s pick
Adelaide United 0–1 goals
Our model 61%Bookmakers 62%
Our track record
In 2,677 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 can still move before kick-off. The track record uses closing odds.
Sydney vs Adelaide United — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Sydney vs Adelaide United. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Sydney–
Adelaide United–Winner
12 75%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Sydney–Adelaide United–Winner
12 75%
BTTS*
Yes 57%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 58%
Full Time
137%
X25%
237%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 24% | 76% | 46% | 54% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 58% | 42% | 82% | 18% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 29% | 71% | 61% | 39% |
| 29% | 71% | 61% | 39% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 83% | 17% | 94% | 6% |
| 83% | 17% | 94% | 6% |
1st Half
132%
X39%
229%
1st Score
150%
X7%
244%
Half Time/Full Time
1-1
23%
2-2
21%
X-1
13%
X-X
13%
X-2
13%
2-X
6%
1-X
5%
1-2
3%
2-1
3%
Correct Score
1-1
11.4%
0-1
8.7%
1-0
8.5%
2-1
8.3%
1-2
8.2%
0-0
6.8%
0-2
5.6%
2-2
5.5%
2-0
5.4%
1-3
4.0%
3-1
3.7%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Sydney vs Adelaide United: the stats that stand out
A-League Men
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Adelaide United: always chasing · Sydney: brick wall and shot-shy
8/10Brick wall
5/10Sydney kept 5 clean sheets in their last 10 (league 23%).
Shot-shy
4/10Sydney failed to score in 4 of their last 10 (league 23%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Sydney vs Adelaide United: Over 2.5 & BTTS?
A-League Men
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 A-League Men gamesBTTS = both teams scoredSydney and Adelaide United games both go over 2.5 goals less often than the A-League Men average (57%).
Over 2.5 goalsleague 57%
Sydney2 of 10
Adelaide United4 of 10
BTTSleague 60%
Sydney4 of 10
Adelaide United9 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 163 games played here in the last 12 months.
How we measure →Sydney vs Adelaide United form and luck check
A-League Men
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 A-League Men gamesBoth results in line with their chances
- SydneyBookmakers: 42% to win today. · 9 of 10 gamesWasteful · −3 goals−1.1
- Adelaide UnitedBookmakers: 32% to win today.Wasteful · −3 goals−1.6
Last 5 matches
SydneyD
Adelaide United8th in table0 pts from last 5W
D
L
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Sydney vs Adelaide United corners, cards and goal times
A-League Men
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameSydney: last 9 with these statsSydney score late
Sydney
Adelaide United
3.9
Corners won · league 5.1
6.8
4.2
Corners conceded · league 5.1
3.7
2.2
Cards · league 1.9
1.6
2.3
Opponents' cards · league 1.9
2.7
14%
Goals before half-time · league 44%
27%
43%
Goals after 75' · league 23%
27%
17%
Conceded before half-time · league 44%
54%
33%
Conceded after 75' · league 23%
15%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Sydney0/1
Both Teams to Score
Sydney0/1
Over/Under 2.5 Goals
Sydney0/1
Over/Under 3.5 Goals
Sydney1/1
First Half Result
Sydney1/1
Correct Score
Sydney0/1
correct predictionwrong prediction