3. Liga

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    HavelseHavelseCounter-attacks & crosses
    vs
    IngolstadtIngolstadtPossession control
    The model's lean: 2 · Ingolstadt (49%)

    Havelse vs Ingolstadt · 3. Liga

    1 · Havelse 29%X 22%49% Ingolstadt · 2

    Prediction summary

    BetBuilders 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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    Analysis: Havelse – Ingolstadt

    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.

    HavelseHavelse
    Form LLLDD
    League ranking xG #19xGA #20xT #18xP/match #18Points #20
    Key players
    • Robin VelascoRWxG 0.16 · xT 0.23
    • Kwasi Okyere WriedtFxG 0.43 · xT 0.06
    • Alexander GuiddirFxG 0.22 · xT 0.05
    IngolstadtIngolstadt
    Form LLLWW
    League ranking xG #15xGA #17xT #14xP/match #14Points #9
    Key players
    • Simon LorenzCBxG 0.08 · xT 0.03
    • Yannick DeichmannRWBxG 0.05 · xT 0.22
    • Georgios AntzoulasCBxG 0.06 · xT 0.14

    Match prediction: Havelse – Ingolstadt

    Predicted score matrix

    Ingolstadt →
    Havelse →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–18.9%
    0–27.4%
    0–34.0%
    0–4+2.3%
    1
    1–06.8%
    1–111.9%
    1–29.3%
    1–35.0%
    1–4+2.9%
    2
    2–04.5%
    2–17.2%
    2–25.8%
    2–33.1%
    2–4+1.8%
    3
    3–01.9%
    3–13.0%
    3–22.4%
    3–31.3%
    3–4+0.7%
    4+
    4+–00.8%
    4+–11.2%
    4+–21.0%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.0-27%
    5. 5.2-17%
    Expected goals
    1,25–1,61
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    –
    Over 2,554%
    –

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    01 · 2 legs

    Safe

    • Ingolstadt to win49%
    • Over 1.5 goals78%

    Combined probability

    36%

    Fair odds

    2.75

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Ingolstadt to win49%
    • Over 2.5 goals54%
    • Lars Lokotsch to score20%

    Combined probability

    –

    Fair odds

    –

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score57%
    • Over 2.5 goals54%
    • Kwasi Okyere Wriedt to score25%
    • Johann Berger to be booked20%

    Combined probability

    –

    Fair odds

    –

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Havelse
    Ingolstadt
    When goals are scored and conceded — 2026
    Havelse (13–23)
    Ingolstadt (13–15)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Havelse
    Johann Berger: 196 passningar, xT 0.51BergerDennis Duah: 181 passningar, xT 0.21DuahJesse Edem Tugbenyo: 162 passningar, xT 0.18TugbenyoKevin Schumacher: 147 passningar, xT 0.49SchumacherSemi Belkahia: 147 passningar, xT 0.06BelkahiaTom Opitz: 139 passningar, xT 0.12OpitzEric Voufack: 90 passningar, xT 0.72VoufackLeon Sommer: 87 passningar, xT 0.49SommerYannick Mausehund: 81 passningar, xT 0.03MausehundRobin Velasco: 69 passningar, xT 0.64VelascoDonald Nduka: 69 passningar, xT 0.05Nduka
    Ingolstadt
    Linus Rosenlocher: 168 passningar, xT 1.4RosenlocherGeorgios Antzoulas: 163 passningar, xT 0.74AntzoulasJonas Scholz: 160 passningar, xT 0.55ScholzDavid Klein: 120 passningar, xT 0.15KleinLukas Frode: 109 passningar, xT 0.22FrodeVinko Sapina: 96 passningar, xT -0.1SapinaFredrik Carlsen: 70 passningar, xT 0.19CarlsenMax Plath: 69 passningar, xT 0.68PlathNishan Matthew Velupillay: 64 passningar, xT 0.16VelupillayYannick Deichmann: 61 passningar, xT 0.59DeichmannKeanan Bennetts: 56 passningar, xT 0.3Bennetts
    xT networks

    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.

    Havelse
    Johann Berger: 196 passningar, xT 0.51BergerDennis Duah: 181 passningar, xT 0.21DuahJesse Edem Tugbenyo: 162 passningar, xT 0.18TugbenyoKevin Schumacher: 147 passningar, xT 0.49SchumacherSemi Belkahia: 147 passningar, xT 0.06BelkahiaTom Opitz: 139 passningar, xT 0.12OpitzEric Voufack: 90 passningar, xT 0.72VoufackLeon Sommer: 87 passningar, xT 0.49SommerYannick Mausehund: 81 passningar, xT 0.03MausehundRobin Velasco: 69 passningar, xT 0.64VelascoDonald Nduka: 69 passningar, xT 0.05Nduka
    Ingolstadt
    Linus Rosenlocher: 168 passningar, xT 1.4RosenlocherGeorgios Antzoulas: 163 passningar, xT 0.74AntzoulasJonas Scholz: 160 passningar, xT 0.55ScholzDavid Klein: 120 passningar, xT 0.15KleinLukas Frode: 109 passningar, xT 0.22FrodeVinko Sapina: 96 passningar, xT -0.1SapinaFredrik Carlsen: 70 passningar, xT 0.19CarlsenMax Plath: 69 passningar, xT 0.68PlathNishan Matthew Velupillay: 64 passningar, xT 0.16VelupillayYannick Deichmann: 61 passningar, xT 0.59DeichmannKeanan Bennetts: 56 passningar, xT 0.3Bennetts

    The teams in numbers

    PerformanceHavelseIngolstadt
    Points614
    xPoints9.913.1
    xG per match11.3
    xGA per match2.21.8
    xG within 8s of winning the ball0.040.3
    xGA within 8s of losing the ball0.390.29
    Playing styleHavelseIngolstadt
    Build-up efficiency0.290.31
    Field tilt0.350.35
    xT per match0.911
    xTA per match1.81.3
    Won balls, offensive half1824
    Pressing intensity0.230.23
    Pressing efficiency0.280.29
    Pressing efficiency, offensive half0.210.26
    Entries into the box per match1012
    Entries into the box against1816
    Pass completion %0.730.69
    Pass completion % under pressure0.70.65
    Passes per match299267
    Passes against per match387375
    Switches of play per match19.417.7
    Long balls per match3133
    Set piecesHavelseIngolstadt
    xG from free kicks0.070.06
    Corners per match3.54.1
    Corners against per match5.36.8
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.340.39
    First touch, defensive corners %0.550.61
    OtherHavelseIngolstadt
    Throw-in control0.710.74
    The goalkeepersOmer Hanin (Havelse)David Klein (Ingolstadt)
    Saves3042
    Save %67%74%
    xG prevented44%48%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Havelse vs Ingolstadt according to our model?

    The model gives Ingolstadt a 49% win probability. Full 1X2 picture: Havelse 29%, draw 22%, Ingolstadt 49%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 57% according to the model.

    How many goals are expected in Havelse vs Ingolstadt?

    The model expects 1.25 goals (xG) for Havelse and 1.61 for Ingolstadt, 2.86 in total.

    What does the model say about double chance?

    Havelse or draw (1X) 51%, Ingolstadt or draw (X2) 71% and no draw (12) 78%.

    Why are some legs locked in the bet builder?

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