01 · 2 legs
Safe
- AGF to win63%
- Over 1.5 goals81%
Danish SuperligaCeres Park, Aarhus9°0,6 mm17 km/h
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Sofia Andersson · · The model's read on the match · How the predictions work
TEXT: A clash between contrasting styles shapes up as AGF hosts Sønderjyske in the Danish Superliga. The home side is all about possession and high pressing, a strategy that often dictates the tempo in their favor. In contrast, the visitors prefer to sit back and strike directly, a tactic that could struggle against AGF's pressing game. With a model probability giving AGF a 63% chance to win, the hosts are clear favorites.
The expected goals paint a similar picture, with AGF generating 2.02 xG compared to Sønderjyske's 1.02. AGF's ability to create chances quickly after winning the ball, boasting an xG of 0.37 in such scenarios, highlights their dangerous press. In comparison, Sønderjyske has a mere 0.2 in the same metric, indicating their limited threat when trying to catch opponents off guard. Despite this, the head-to-head record since 2022 is surprisingly even at 1 win apiece and 2 draws, though a sample of four matches carries less weight than the current form.
The numbers suggest a game where AGF should dominate possession and chances, but with a 56% chance of both teams scoring, Sønderjyske can't be counted out entirely. The likelihood of over 2.5 goals at 59% indicates a reasonable chance for goals, with the model's most probable scorelines of 2-1, 2-0, or even 1-1 underlining the hosts' slight edge.
Keep an eye on the pressing game; it's AGF's sharpest tool and could be the decisive factor in carving out a victory.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · AGF | X | 2 · SønderjyskE |
|---|---|---|---|
| Betsafe | EV+ 4% 1.65 | 3.95 | 5.05 |
| Nordicbet | EV+ 4% 1.65 | 4.00 | 5.10 |
| Pinnacle | 1.59 | 4.40 | 4.91 |
Odds updated 3 Oct, 07:36
Head-to-head based on Danish Superliga data since 2022.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | AGF | SønderjyskE |
|---|---|---|
| Points | 5 | 5 |
| xPoints | 11.5 | 9.8 |
| xG per match | 1.6 | 0.96 |
| xGA per match | 1.5 | 1.9 |
| xG within 8s of winning the ball | 0.37 | 0.2 |
| xGA within 8s of losing the ball | 0.29 | 0.6 |
| Playing style | AGF | SønderjyskE |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.59 | 0.34 |
| xT per match | 1.1 | 0.85 |
| xTA per match | 0.95 | 1.2 |
| Won balls, offensive half | 25 | 23 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.28 | 0.24 |
| Pressing efficiency, offensive half | 0.27 | 0.18 |
| Entries into the box per match | 17 | 10 |
| Entries into the box against | 12 | 16 |
| Pass completion % | 0.78 | 0.7 |
| Pass completion % under pressure | 0.71 | 0.66 |
| Passes per match | 423 | 275 |
| Passes against per match | 312 | 474 |
| Switches of play per match | 23.1 | 23.9 |
| Long balls per match | 26 | 34 |
| Set pieces | AGF | SønderjyskE |
|---|---|---|
| xG from free kicks | 0.05 | 0.09 |
| Corners per match | 7.1 | 4.4 |
| Corners against per match | 3 | 5.5 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.3 | 0.38 |
| First touch, defensive corners % | 0.56 | 0.62 |
| Other | AGF | SønderjyskE |
|---|---|---|
| Throw-in control | 0.71 | 0.74 |
| The goalkeepers | Mads Hedenstad Christiansen (AGF) | Nicolai Flo (SønderjyskE) |
|---|---|---|
| Saves | 19 | 12 |
| Save % | 58% | 67% |
| xG prevented | 39% | 52% |
| Claims | 0 (0%) | 0 (0%) |
The model gives AGF a 63% win probability. Full 1X2 picture: AGF 63%, draw 22%, SønderjyskE 16%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 59% and under at 41%.
The probability of both teams scoring is 56% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.