3. Liga15°0,1 mm6 km/h

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    Waldhof MannheimWaldhof MannheimCounter-attacks & crosses
    0–3
    IngolstadtIngolstadtLow block & direct
    The model's lean: 1 · Waldhof Mannheim (52%)Best value by the model: Under 1,5 @ 5.10 (+35 %)

    Waldhof Mannheim vs Ingolstadt · 3. Liga

    1 · Waldhof Mannheim 52%X 25%23% Ingolstadt · 2

    Prediction summary

    Final score 0–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Waldhof Mannheim vs Ingolstadt (3. Liga, Wednesday, 14 October 2026): Waldhof Mannheim win 52%, draw 25%, Ingolstadt win 23%. Expected goals (xG): Waldhof Mannheim 1.67, Ingolstadt 0.92. Most likely score: 1-0 (12%). Over 2.5 goals 48%, both teams to score 49%. Double chance: Waldhof Mannheim or draw 77%, Ingolstadt or draw 48%. Prediction updated Monday, 5 October 2026.

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    Analysis: Waldhof Mannheim – Ingolstadt

    Anna Karlsson · · A data-driven preview · How the predictions work

    A clash of contrasting styles awaits as Waldhof Mannheim prepares to host Ingolstadt in the 3. Liga. While the hosts lean on counter-attacks and crosses, Ingolstadt will likely sit deep and rely on direct plays, setting the stage for a tactical battle. Despite the visitors’ stubborn defensive approach, Mannheim's sharper form and attacking stats suggest they have the upper hand.

    Waldhof Mannheim holds a slight edge with 10 points compared to Ingolstadt’s 8, driven by a more robust expected goals (xG) profile. The hosts average 1.4 xG per match, while Ingolstadt lags behind at 1.2. Moreover, Mannheim boasts a better defensive record, with an xGA of 1.1 against Ingolstadt’s more porous 1.7. The model leans towards a home victory with a 52% probability, underlining Mannheim's advantage in expected goals and points metrics.

    It's notable, however, that in their limited head-to-head history since 2024, Mannheim has yet to secure a win, drawing two and losing two against Ingolstadt. But this small sample size should weigh less than the current form, particularly given Mannheim's clear statistical advantages. Most likely scorelines like 1-0 and 2-0 reflect the hosts' edge and Ingolstadt’s potential struggles to break through.

    For those looking at the betting angles, the market seems to underestimate lower-scoring outcomes. The odds for under 1.5 goals at 5.3 with Betsafe and Nordicbet offer substantial value, with the model indicating a 41% edge. Additionally, under 2.5 goals at 2.58 with Betsafe presents a 34% edge. Considering the tactical setups and low-scoring likelihood, these options merit attention in a fixture that could see Mannheim edging out Ingolstadt in a tight affair.

    Waldhof MannheimWaldhof Mannheim
    Form LLWLW
    League ranking xG #12xGA #5xT #4xP/match #8Points #8
    Key players
    • Lovis BierschenkLWxG 0.32 · xT 0.24
    • Favour Jidechi OkekeRBxG 0.03 · xT 0.28
    • Julian UlbrichtLWxG 0.41 · xT 0.00
    IngolstadtIngolstadt
    Form WLWLL
    League ranking xG #16xGA #18xT #19xP/match #12Points #12
    Key players
    • Obed Chidindu UgonduFxG 0.74 · xT 0.01
    • Simon LorenzCBxG 0.08 · xT 0.03
    • Nishan Matthew VelupillayLWxG 0.18 · xT 0.02
    Final score
    0 – 3
    The model missed the outcome
    Predicted probabilities: Waldhof Mannheim 52% · Draw 25% · Ingolstadt 23%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - SV Waldhof MannheimBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,50fair 7,65-41 %
    Miss
    Matchresultat - FC Ingolstadt 04Båda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,17fair 24,85-71 %
    Miss

    Match prediction: Waldhof Mannheim – Ingolstadt

    Predicted score matrix

    Ingolstadt →
    Waldhof Mannheim →
    0
    1
    2
    3
    4+
    0
    0–07.8%
    0–16.5%
    0–23.2%
    0–31.0%
    0–4+0.3%
    1
    1–012.2%
    1–111.8%
    1–25.3%
    1–31.6%
    1–4+0.5%
    2
    2–010.5%
    2–19.6%
    2–24.4%
    2–31.4%
    2–4+0.4%
    3
    3–05.8%
    3–15.4%
    3–22.5%
    3–30.8%
    3–4+0.2%
    4+
    4+–03.6%
    4+–13.3%
    4+–21.5%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-012%
    2. 2.1-112%
    3. 3.2-010%
    4. 4.2-110%
    5. 5.0-08%
    Expected goals
    1,67–0,92
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.52EV+31%
    Over 2,548%
    @1.46

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Waldhof Mannheim to win52%
    • Under 3.5 goals74%

    Combined probability

    38%

    Fair odds

    2.62

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

    02 · 3 legs

    Balanced

    • Waldhof Mannheim to win52%
    • Under 2.5 goals52%
    • Lovis Bierschenk to score18%

    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 score49%
    • Over 2.5 goals48%
    • Lars Lokotsch to score19%
    • Georgios Antzoulas to be booked22%

    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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • Under 1.527% probability@5.10BetsafeEV+35%reference odds
    • Under 1.527% probability@5.10NordicbetEV+35%reference odds
    • Under 1.527% probability@5.00LeoVegasEV+33%reference odds
    Bookmaker1 · Waldhof MannheimX2 · Ingolstadt
    Betsafe
    EV+ 2%
    1.95
    3.653.25
    LeoVegas
    EV+ 2%
    1.95
    3.703.20
    Nordicbet
    EV+ 2%
    1.95
    3.653.25
    Pinnacle
    EV+ 1%
    1.93
    4.023.45

    Odds updated 14 Oct, 13:36

    Odds movement

    1-4 %
    50 %45 %

    2.02 → 1.93

    X+4 %
    26 %21 %

    3.87 → 4.02

    2+10 %
    31 %26 %

    3.13 → 3.45

    Pinnacle · 8 recorded price levels · 11/10/2026 → 14/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Waldhof Mannheim 0Draw 2Ingolstadt 2
    Goals: 4–9 (⌀ 3,2)

    Head-to-head based on 3. Liga data since 2024.

    xG & xGA per match — 3-game rolling average

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

    Waldhof Mannheim
    Ingolstadt
    When goals are scored and conceded — 2026
    Waldhof Mannheim (11–10)
    Ingolstadt (7–11)
    Pass networks

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

    Waldhof Mannheim
    Claudio Matthias Kammerknecht: 282 passningar, xT 0.69KammerknechtFavour Jidechi Okeke: 177 passningar, xT 0.83OkekeOwono-Darnell Keumo: 174 passningar, xT 1.32KeumoThijmen Joel Sander Nijhuis: 168 passningar, xT 0.24NijhuisJulian Rieckmann: 158 passningar, xT 0.61RieckmannLukas Klunter: 140 passningar, xT 0.33KlunterDiego Michel: 131 passningar, xT 0.63MichelVincent Thill: 107 passningar, xT 0.15ThillJoey Paul Müller: 106 passningar, xT -0.04MüllerLovis Bierschenk: 94 passningar, xT 0.83BierschenkGonçalo de Almeida Gregório: 87 passningar, xT -0.16Gregório
    Ingolstadt
    Jonas Scholz: 139 passningar, xT 0.36ScholzDavid Klein: 134 passningar, xT 0.15KleinGeorgios Antzoulas: 114 passningar, xT 0.74AntzoulasLukas Frode: 95 passningar, xT 0.2FrodeVinko Sapina: 92 passningar, xT 0.06SapinaFredrik Carlsen: 77 passningar, xT 0.27CarlsenLinus Rosenlocher: 68 passningar, xT 0.51RosenlocherYannick Deichmann: 61 passningar, xT 0.22DeichmannLars Lokotsch: 56 passningar, xT -0.11LokotschKeanan Bennetts: 56 passningar, xT 0.25BennettsNishan Matthew Velupillay: 55 passningar, xT 0.06Velupillay
    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.

    Waldhof Mannheim
    Claudio Matthias Kammerknecht: 282 passningar, xT 0.69KammerknechtFavour Jidechi Okeke: 177 passningar, xT 0.83OkekeOwono-Darnell Keumo: 174 passningar, xT 1.32KeumoThijmen Joel Sander Nijhuis: 168 passningar, xT 0.24NijhuisJulian Rieckmann: 158 passningar, xT 0.61RieckmannLukas Klunter: 140 passningar, xT 0.33KlunterDiego Michel: 131 passningar, xT 0.63MichelVincent Thill: 107 passningar, xT 0.15ThillJoey Paul Müller: 106 passningar, xT -0.04MüllerLovis Bierschenk: 94 passningar, xT 0.83BierschenkGonçalo de Almeida Gregório: 87 passningar, xT -0.16Gregório
    Ingolstadt
    Jonas Scholz: 139 passningar, xT 0.36ScholzDavid Klein: 134 passningar, xT 0.15KleinGeorgios Antzoulas: 114 passningar, xT 0.74AntzoulasLukas Frode: 95 passningar, xT 0.2FrodeVinko Sapina: 92 passningar, xT 0.06SapinaFredrik Carlsen: 77 passningar, xT 0.27CarlsenLinus Rosenlocher: 68 passningar, xT 0.51RosenlocherYannick Deichmann: 61 passningar, xT 0.22DeichmannLars Lokotsch: 56 passningar, xT -0.11LokotschKeanan Bennetts: 56 passningar, xT 0.25BennettsNishan Matthew Velupillay: 55 passningar, xT 0.06Velupillay

    The teams in numbers

    PerformanceWaldhof MannheimIngolstadt
    Points108
    xPoints10.59.3
    xG per match1.41.2
    xGA per match1.11.7
    xG within 8s of winning the ball0.170.31
    xGA within 8s of losing the ball0.170.27
    Playing styleWaldhof MannheimIngolstadt
    Build-up efficiency0.320.31
    Field tilt0.540.3
    xT per match1.30.87
    xTA per match0.981.5
    Won balls, offensive half2223
    Pressing intensity0.210.22
    Pressing efficiency0.350.27
    Pressing efficiency, offensive half0.30.24
    Entries into the box per match1610
    Entries into the box against1317
    Pass completion %0.750.68
    Pass completion % under pressure0.730.66
    Passes per match345256
    Passes against per match317410
    Switches of play per match27.117.8
    Long balls per match3933
    Set piecesWaldhof MannheimIngolstadt
    xG from free kicks0.030.03
    Corners per match4.23.2
    Corners against per match4.57.4
    xG per corner0.010.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.550.32
    First touch, defensive corners %0.610.63
    OtherWaldhof MannheimIngolstadt
    Throw-in control0.720.71
    The goalkeepersThijmen Joel Sander Nijhuis (Waldhof Mannheim)David Klein (Ingolstadt)
    Saves1728
    Save %74%72%
    xG prevented69%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Waldhof Mannheim vs Ingolstadt according to our model?

    The model gives Waldhof Mannheim a 52% win probability. Full 1X2 picture: Waldhof Mannheim 52%, draw 25%, Ingolstadt 23%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 49% according to the model.

    How many goals are expected in Waldhof Mannheim vs Ingolstadt?

    The model expects 1.67 goals (xG) for Waldhof Mannheim and 0.92 for Ingolstadt, 2.59 in total.

    What does the model say about double chance?

    Waldhof Mannheim or draw (1X) 77%, Ingolstadt or draw (X2) 48% and no draw (12) 75%.

    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.