AGF won only 1 of 7 as favourites (league 51%).
AGF vs Sønderjyske Fodbold Prediction, Stats & Betting Tips
Superliga - Season 2026/2027 (Round 10)
AGF are taking fewer points than their chances usually bring
83% of teams this far behind their chances got more points in their next 10 games.
AGF vs SønderjyskE score prediction
Superliga
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
AGF expected to create clearly more
3.2 goals in total, a little over the Superliga average of 3.0.
goals expected
Calculated 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 →AGF vs SønderjyskE — Our Model vs the Bookmakers
Market check · Superliga
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 pick
AGF to win
Our track record
In 1,737 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 60.8% of the time (bookmakers said 61.1%).
Our model’s pick
Yes, both score
Our track record
In 5,496 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 57.7%).
Our model’s pick
Over 2.5 goals
Our track record
In 5,141 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.7% of the time (bookmakers said 59.1%).
Our model’s pick
Under 3.5 goals
Our track record
In 3,819 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 66.9%).
Our model’s pick
AGF ahead at half-time
Our track record
In 6,500 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
AGF 2+ goals
Our track record
In 3,340 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.5% of the time (bookmakers said 61.1%).
Our model’s pick
SønderjyskE 0–1 goals
Our track record
In 2,531 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 75.3% of the time (bookmakers said 76.5%).
Odds can still move before kick-off. The track record uses closing odds.
AGF vs SønderjyskE — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for AGF vs SønderjyskE. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Winner
1 58%
BTTS*
Yes 56%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Winner
1 58%
BTTS*
Yes 56%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 57%
Over/Under 3.5 goals
under 55%
Full Time
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 21% | 79% | 43% | 57% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 55% | 45% | 79% | 21% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 17% | 83% | 44% | 56% | |
| 43% | 57% | 75% | 25% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 70% | 30% | 88% | 12% | |
| 92% | 8% | 98% | 2% |
1st Half
1st Score
Half Time/Full Time
1-1
37%
X-1
18%
X-X
13%
2-2
11%
X-2
6%
1-X
5%
2-X
5%
2-1
3%
1-2
2%
Correct Score
1-1
10.4%
1-0
10.3%
2-1
10.2%
2-0
9.0%
3-1
6.4%
3-0
5.7%
0-0
5.6%
0-1
5.3%
1-2
5.2%
2-2
5.2%
3-2
3.9%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
AGF vs SønderjyskE: the stats that stand out
Superliga
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%AGF: flop as favourites and leaky · SønderjyskE: slow starters
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 →AGF vs SønderjyskE: attack vs defence
Superliga
How to read it
other Superliga teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)


More chances created (xG a game) →
AGF: good attack, weak defence (1.83 xG, 1.62 xGA a game)
SønderjyskE: weak attack, weak defence (1.23 xG, 1.81 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →AGF vs SønderjyskE form and luck check
Superliga
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 Superliga gamesAGF are taking fewer points than their chances usually bring
AGFBookmakers: 59% to win today.−7.5
SønderjyskEBookmakers: 19% to win today.−3.3
Last 5 matches
Strength rank: AGF 3rd of 12 · SønderjyskE 11th of 12
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.
Strength rank: we rank this season's 12 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →AGF vs SønderjyskE: Over 2.5 & BTTS?
Superliga
How to read it
a game where it happenedleague averagelast 10 Superliga gamesBTTS = both teams scoredBoth teams score in AGF and SønderjyskE games more often than the Superliga average (58%).
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 181 games played here in the last 12 months.
How we measure →AGF vs SønderjyskE corners, cards and goal times
Superliga
How to read it
league averagelast 10 in the league · corners and cards per gameAGF score late
AGF
SønderjyskE
6.6
Corners won · league 5.1
4.2
2.9
Corners conceded · league 5.1
5.4
1.6
Cards · league 1.7
2.2
2.6
Opponents' cards · league 1.7
1.2
35%
Goals before half-time · league 47%
46%
35%
Goals after 75' · league 24%
15%
47%
Conceded before half-time · league 47%
60%
32%
Conceded after 75' · league 24%
20%
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
Both Teams to Score
Over/Under 2.5 Goals
Over/Under 3.5 Goals
First Half Result
Correct Score