01 · 2 legs
Safe
- Double chance Randers or draw (X2)64%
- Under 3.5 goals76%
Danish SuperligaSydbank Park, Haderslev14°3,3 mm34 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
Sønderjyske's four-match losing streak looms over their clash with Randers, who arrive with a slightly more optimistic model assessment and a point advantage in the standings. The close expected goals for both sides—1.23 for the hosts and 1.24 for the visitors—suggests a tightly contested affair. Yet, the model's slight favoring of Randers implies that despite the narrow margin, the visitors have the edge.
The small head-to-head sample since 2022, with just two matches, scarcely informs this encounter, leaving current form and expected goals as more significant factors. With Sønderjyske's last four outings ending in defeat, confidence might be in short supply for the home side. They have managed only one point thus far, compared to Randers' ten, further highlighting the gulf between the two teams in terms of performance.
Sønderjyske's defensive frailties are evident with an xGA of 1.9 per match, significantly higher than Randers' 1.5. This defensive vulnerability might just tilt the scales in favor of Randers, even though Sønderjyske actually hold a slight edge in attacking output, with 0.87 xG per match compared to Randers' 0.78. Randers' slightly better xPoints and the fact that both teams play a low defence, direct style might mean this game could see few goals.
The low over 2.5 goals probability at 45% and a 51% chance of both teams scoring indicate a likely low-scoring match, perhaps even a 1-1 draw, which is the most probable scoreline at 13%. However, Randers squeezing out a narrow 1-0 win at 10% isn't far-fetched, considering Sønderjyske's form.
With both teams' defensive tendencies and the rain potentially suppressing goals, backing the visitors to exploit Sønderjyske's recent woes seems the sharper play.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | SønderjyskE | Randers |
|---|---|---|
| Points | 1 | 10 |
| xPoints | 7.2 | 8.2 |
| xG per match | 0.87 | 0.78 |
| xGA per match | 1.9 | 1.5 |
| xG within 8s of winning the ball | 0.11 | 0.17 |
| xGA within 8s of losing the ball | 0.67 | 0.19 |
| Playing style | SønderjyskE | Randers |
|---|---|---|
| Build-up efficiency | 0.3 | 0.31 |
| Field tilt | 0.34 | 0.38 |
| xT per match | 0.94 | 0.68 |
| xTA per match | 1.1 | 1.4 |
| Won balls, offensive half | 24 | 23 |
| Pressing intensity | 0.23 | 0.26 |
| Pressing efficiency | 0.23 | 0.29 |
| Pressing efficiency, offensive half | 0.17 | 0.19 |
| Entries into the box per match | 12 | 10 |
| Entries into the box against | 16 | 19 |
| Pass completion % | 0.7 | 0.75 |
| Pass completion % under pressure | 0.65 | 0.69 |
| Passes per match | 274 | 329 |
| Passes against per match | 485 | 482 |
| Switches of play per match | 22.2 | 21.1 |
| Long balls per match | 32 | 28 |
| Set pieces | SønderjyskE | Randers |
|---|---|---|
| xG from free kicks | 0.1 | 0.01 |
| Corners per match | 4.1 | 4.1 |
| Corners against per match | 5.7 | 7.7 |
| xG per corner | 0.03 | 0.01 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.34 | 0.38 |
| First touch, defensive corners % | 0.65 | 0.67 |
| Other | SønderjyskE | Randers |
|---|---|---|
| Throw-in control | 0.76 | 0.71 |
| The goalkeepers | Nicolai Flo (SønderjyskE) | Jannich Storch (Randers) |
|---|---|---|
| Saves | 11 | 18 |
| Save % | 65% | 72% |
| xG prevented | 53% | 62% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Randers a 37% win probability. Full 1X2 picture: SønderjyskE 35%, draw 28%, Randers 37%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 45% and under at 55%.
The probability of both teams scoring is 51% 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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.