01 · 2 legs
Safe
- Ingolstadt to win52%
- Over 1.5 goals88%
3. Liga16°6,3 mm15 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT:
Two teams that prefer to hold the ball set the stage for an intriguing evening clash. Ingolstadt and Hoffenheim II both approach games with a focus on possession, which might lead to a tactical battle rather than an end-to-end spectacle. Despite this shared philosophy, the model sees Ingolstadt as the more likely victor at 52%, an edge grounded in the model's own expected goals projection (2.16 vs 1.52), even though Hoffenheim II's season xG per match figure is higher.
The expected goals data tells a story of its own. Ingolstadt generates an xG of 1.3 per match, slightly trailing Hoffenheim II's 1.7. However, it's in expected goals against (xGA) where Ingolstadt tightens the gaps, allowing only 1.3 per game compared to Hoffenheim II’s 1.6. This defensive sturdiness could be key in turning small advantages into a winning margin. Given these numbers, the model's predicted scorelines of 2-1 and 1-1 both at 9% are plausible outcomes.
The rain, expected to drench the pitch with 5.1 mm, should not be discounted when considering the game’s potential rhythm. Wet conditions often dampen scoring opportunities, yet the model still gives over 2.5 goals a robust 71% chance, with both teams likely to find the net 69% of the time. This suggests an openness to the game, potentially favoring a 2-1 result despite the weather’s usual suppressive effect on goal numbers.
The numbers suggest a tight affair with Ingolstadt edging out Hoffenheim II, likely in a 2-1 outcome. Here lies the sharpest angle: Ingolstadt as the model's favored side, even as rain threatens to muddy the waters.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Ingolstadt | TSG 1899 Hoffenheim II |
|---|---|---|
| Points | 5 | 6 |
| xPoints | 6.1 | 5.3 |
| xG per match | 1.3 | 1.7 |
| xGA per match | 1.3 | 1.6 |
| xG within 8s of winning the ball | 0.37 | 0.17 |
| xGA within 8s of losing the ball | 0.21 | 0.31 |
| Playing style | Ingolstadt | TSG 1899 Hoffenheim II |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.26 | 0.53 |
| xT per match | 0.84 | 1.1 |
| xTA per match | 1.3 | 1.4 |
| Won balls, offensive half | 26 | 27 |
| Pressing intensity | 0.22 | 0.23 |
| Pressing efficiency | 0.28 | 0.36 |
| Pressing efficiency, offensive half | 0.26 | 0.35 |
| Entries into the box per match | 10 | 16 |
| Entries into the box against | 17 | 14 |
| Pass completion % | 0.68 | 0.75 |
| Pass completion % under pressure | 0.68 | 0.7 |
| Passes per match | 256 | 361 |
| Passes against per match | 402 | 265 |
| Switches of play per match | 18.7 | 20.4 |
| Long balls per match | 35 | 37 |
| Set pieces | Ingolstadt | TSG 1899 Hoffenheim II |
|---|---|---|
| xG from free kicks | 0.03 | 0.19 |
| Corners per match | 2.8 | 4.2 |
| Corners against per match | 7.1 | 4.5 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.27 | 0.35 |
| First touch, defensive corners % | 0.57 | 0.56 |
| Other | Ingolstadt | TSG 1899 Hoffenheim II |
|---|---|---|
| Throw-in control | 0.65 | 0.8 |
| The goalkeepers | David Klein (Ingolstadt) | Lúkas Jóhannes Blöndal Petersson (TSG 1899 Hoffenheim II) |
|---|---|---|
| Saves | 15 | 12 |
| Save % | 71% | 71% |
| xG prevented | 47% | 70% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Ingolstadt a 52% win probability. Full 1X2 picture: Ingolstadt 52%, draw 24%, TSG 1899 Hoffenheim II 24%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 71% and under at 29%.
The probability of both teams scoring is 69% 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.