01 · 2 legs
Safe
- Ingolstadt to win49%
- Over 1.5 goals78%
3. Liga
Läs på svenskaBetBuilders AI model prediction for Havelse vs Ingolstadt (3. Liga, Saturday, 31 October 2026): Havelse win 29%, draw 22%, Ingolstadt win 49%. Expected goals (xG): Havelse 1.25, Ingolstadt 1.61. Most likely score: 1-1 (12%). Over 2.5 goals 54%, both teams to score 57%. Double chance: Havelse or draw 51%, Ingolstadt or draw 71%. Prediction updated Friday, 23 October 2026.
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Erik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: In this clash, Ingolstadt's well-drilled possession game meets Havelse's defensive frailties. The visitors have a clear edge in form and expected goals, illustrated by their superior points tally (14 to Havelse's 6) and xPoints (13.1 to 9.9). Ingolstadt's ability to control possession could well dictate the flow of the game, exposing Havelse's leaky defense that concedes 2.2 xGA per match.
Havelse, relying on counter attacks and crosses, will need to be exceptionally clinical to overcome Ingolstadt’s disciplined backline. The hosts generate only 1.0 xG per match, suggesting that their attacking efforts may fall short against Ingolstadt, who allow just 1.8 xGA. Despite the modest attacking output from both sides, the model gives a 54% probability of over 2.5 goals, driven by defensive vulnerabilities rather than attacking prowess.
The head-to-head record between these teams is sparse, so current form and expected goals carry more weight. Ingolstadt's balanced approach gives them a significant upper hand, reflected in a model probability of 49% for an away victory, compared to 29% for Havelse. A 1-2 or 0-1 scoreline in favor of the visitors seems likely, with Ingolstadt's structured play poised to exploit Havelse's defensive lapses.
While nothing is certain, this appears to be a prudent play for those who favor a cautious, well-supported bet. As always, betting responsibly is key, but the numbers suggest that siding with Ingolstadt could indeed pay the bills.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Havelse | Ingolstadt |
|---|---|---|
| Points | 6 | 14 |
| xPoints | 9.9 | 13.1 |
| xG per match | 1 | 1.3 |
| xGA per match | 2.2 | 1.8 |
| xG within 8s of winning the ball | 0.04 | 0.3 |
| xGA within 8s of losing the ball | 0.39 | 0.29 |
| Playing style | Havelse | Ingolstadt |
|---|---|---|
| Build-up efficiency | 0.29 | 0.31 |
| Field tilt | 0.35 | 0.35 |
| xT per match | 0.91 | 1 |
| xTA per match | 1.8 | 1.3 |
| Won balls, offensive half | 18 | 24 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.28 | 0.29 |
| Pressing efficiency, offensive half | 0.21 | 0.26 |
| Entries into the box per match | 10 | 12 |
| Entries into the box against | 18 | 16 |
| Pass completion % | 0.73 | 0.69 |
| Pass completion % under pressure | 0.7 | 0.65 |
| Passes per match | 299 | 267 |
| Passes against per match | 387 | 375 |
| Switches of play per match | 19.4 | 17.7 |
| Long balls per match | 31 | 33 |
| Set pieces | Havelse | Ingolstadt |
|---|---|---|
| xG from free kicks | 0.07 | 0.06 |
| Corners per match | 3.5 | 4.1 |
| Corners against per match | 5.3 | 6.8 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.34 | 0.39 |
| First touch, defensive corners % | 0.55 | 0.61 |
| Other | Havelse | Ingolstadt |
|---|---|---|
| Throw-in control | 0.71 | 0.74 |
| The goalkeepers | Omer Hanin (Havelse) | David Klein (Ingolstadt) |
|---|---|---|
| Saves | 30 | 42 |
| Save % | 67% | 74% |
| xG prevented | 44% | 48% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Ingolstadt a 49% win probability. Full 1X2 picture: Havelse 29%, draw 22%, Ingolstadt 49%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 54% and under at 46%.
The probability of both teams scoring is 57% according to the model.
The model expects 1.25 goals (xG) for Havelse and 1.61 for Ingolstadt, 2.86 in total.
Havelse or draw (1X) 51%, Ingolstadt or draw (X2) 71% and no draw (12) 78%.
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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