BundesligaBorussia-Park, Mönchengladbach9°4,4 mm14 km/h

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    Borussia MönchengladbachBorussia MönchengladbachBalanced & physical
    1–2
    HoffenheimHoffenheimPossession & high press
    The model's lean: 2 · Hoffenheim (51%)Best value by the model: Under 2,5 @ 3.15 (+17 %)

    Borussia Mönchengladbach vs Hoffenheim · Bundesliga

    1 · Borussia Mönchengladbach 25%X 24%51% Hoffenheim · 2

    Prediction summary

    Final score 1–2. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Borussia Mönchengladbach vs Hoffenheim (Bundesliga, Sunday, 18 October 2026): Borussia Mönchengladbach win 25%, draw 24%, Hoffenheim win 51%. Expected goals (xG): Borussia Mönchengladbach 1.35, Hoffenheim 1.90. Most likely score: 1-1 (10%). Over 2.5 goals 63%, both teams to score 63%. Double chance: Borussia Mönchengladbach or draw 49%, Hoffenheim or draw 75%. Prediction updated Friday, 9 October 2026.

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    Analysis: Borussia Mönchengladbach – Hoffenheim

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The text states the head-to-head record is "evenly split," but the facts show Gladbach has 2W 1D 1L in the four meetings — a slight edge for Gladbach, not an even split. Here's the corrected text:

    Hoffenheim's 51% chance of victory underscores a stark contrast between their current form and that of the hosts, who have dropped five consecutive matches. While the head-to-head record since 2022 actually favors Gladbach slightly (2W 1D 1L over four encounters), this small sample offers little comfort to a Gladbach side struggling in their recent outings. The visitors' possession-heavy, high-press approach is likely to find success against a leaky home defense, especially given the difference in expected goals against: 2.6 for Gladbach compared to Hoffenheim's more robust 1.5.

    The expected goals model suggests a tight battle, with Hoffenheim edging Gladbach out at 1.90 to 1.35. However, the forecasted rain could dampen scoring opportunities, though the model already incorporates this factor. Despite a 63% chance for both the over 2.5 goals and both teams scoring, a closer look reveals potential value in the opposite direction. Betsafe and Nordicbet offer enticing odds of 3.07 on under 2.5 goals, with the model indicating a 37% likelihood—representing a notable 14% edge.

    For those seeking greater risk, consider the under 1.5 goals at 6.75 with Betsafe, where the model suggests a 16% probability, offering a 10% edge. In a matchup where caution may prevail, these under bets present appealing value.

    Borussia MönchengladbachBorussia Mönchengladbach
    Form LLLLL
    League ranking xG #11xGA #18xT #10xP/match #18Points #18
    Key players
    • Mathieu NguefackCDMxG 0.08 · xT 0.02
    • Florian NeuhausLWxG 0.17 · xT 0.22
    • Philipp SanderCMxG 0.06 · xT 0.11
    HoffenheimHoffenheim
    Form LLWLL
    League ranking xG #9xGA #6xT #5xP/match #9Points #17
    Key players
    • Ozan KabakCBxG 0.12 · xT 0.12
    • Bambasé ContéRWxG 0.29 · xT 0.14
    • Adam HložekFxG 0.49 · xT 0.04
    Final score
    1 – 2
    The model called the outcome
    Predicted probabilities: Borussia Mönchengladbach 25% · Draw 24% · Hoffenheim 51%

    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 - TSG HoffenheimBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 4,14fair 5,37-23 %
    Miss
    Matchresultat - Borussia MönchengladbachBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,78fair 10,64-46 %
    Miss

    Match prediction: Borussia Mönchengladbach – Hoffenheim

    Predicted score matrix

    Hoffenheim →
    Borussia Mönchengladbach →
    0
    1
    2
    3
    4+
    0
    0–04.2%
    0–17.1%
    0–27.0%
    0–34.4%
    0–4+3.2%
    1
    1–05.0%
    1–110.3%
    1–29.4%
    1–36.0%
    1–4+4.4%
    2
    2–03.5%
    2–16.7%
    2–26.4%
    2–34.0%
    2–4+2.9%
    3
    3–01.6%
    3–13.0%
    3–22.9%
    3–31.8%
    3–4+1.3%
    4+
    4+–00.7%
    4+–11.4%
    4+–21.3%
    4+–30.8%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-29%
    3. 3.0-17%
    4. 4.0-27%
    5. 5.2-17%
    Expected goals
    1,35–1,90
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @3.15EV+17%
    Over 2,563%
    @1.38

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hoffenheim to win51%
    • Over 1.5 goals84%

    Combined probability

    43%

    Fair odds

    2.34

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

    02 · 3 legs

    Balanced

    • Hoffenheim to win51%
    • Over 2.5 goals63%
    • Adam Hložek to score26%

    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 score63%
    • Over 2.5 goals63%
    • Adam Hložek to score26%
    • Leon Avdullahu 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 2.537% probability@3.15BetsafeEV+17%reference odds
    • Under 2.537% probability@3.15NordicbetEV+17%reference odds
    • Under 1.516% probability@7.02BetsafeEV+14%reference odds
    Bookmaker1 · Borussia MönchengladbachX2 · Hoffenheim
    Betsafe3.003.80
    EV+ 7%
    2.10
    LeoVegas3.004.00
    EV+ 10%
    2.15
    Nordicbet3.003.80
    EV+ 7%
    2.10

    Odds updated 18 Oct, 13:36

    Odds movement

    Market signal

    The market has moved clearly towards a Borussia Mönchengladbach win since 9 October — the odds have shortened from 3.30 to 3.00 (−9%).

    1-9 %
    33 %28 %

    3.30 → 3.00

    X0 %
    27 %22 %

    4.00 → 4.00

    2+9 %
    48 %43 %

    1.98 → 2.15

    Over 2,50 %
    70 %65 %

    1.38 → 1.38

    LeoVegas · 50 recorded price levels · 09/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Borussia Mönchengladbach 2Draw 1Hoffenheim 1
    Goals: 11–10 (⌀ 5,2)

    Head-to-head based on Bundesliga data since 2022.

    Key facts

    • Borussia Monchengladbach have lost 5 in a row.
    xG & xGA per match — 3-game rolling average

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

    Borussia Mönchengladbach
    Hoffenheim
    When goals are scored and conceded — 2026
    Borussia Mönchengladbach (7–18)
    Hoffenheim (9–13)
    Pass networks

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

    Borussia Mönchengladbach
    Philipp Sander: 231 passningar, xT 0.43SanderKevin Diks: 231 passningar, xT 0.47DiksKo Itakura: 147 passningar, xT 0.41ItakuraMoritz Nicolas: 137 passningar, xT 0.28NicolasJan Leszczyński: 111 passningar, xT 0.2LeszczyńskiJoe Scally: 109 passningar, xT 0.26ScallyLukas Ullrich: 101 passningar, xT 0.73UllrichAxel Hugo Bolin: 89 passningar, xT 0.8BolinKevin Stöger: 85 passningar, xT 0.1StögerFranck Honorat: 64 passningar, xT 0.67HonoratWael Mohya: 53 passningar, xT 0.08Mohya
    Hoffenheim
    Leon Avdullahu: 278 passningar, xT 0.71AvdullahuVladimír Coufal: 226 passningar, xT 1.84CoufalOzan Kabak: 208 passningar, xT 0.6KabakWouter Burger: 203 passningar, xT 0.28BurgerAlbian Hajdari: 184 passningar, xT 0.66HajdariOliver Baumann: 151 passningar, xT 0.3BaumannKoki Machida: 150 passningar, xT 0.24MachidaMats Rots: 137 passningar, xT 0.53RotsAdam Daghim: 99 passningar, xT 0.57DaghimBernardo: 86 passningar, xT 0.12BernardoBambasé Conté: 83 passningar, xT 0.45Conté
    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.

    Borussia Mönchengladbach
    Philipp Sander: 231 passningar, xT 0.43SanderKevin Diks: 231 passningar, xT 0.47DiksKo Itakura: 147 passningar, xT 0.41ItakuraMoritz Nicolas: 137 passningar, xT 0.28NicolasJan Leszczyński: 111 passningar, xT 0.2LeszczyńskiJoe Scally: 109 passningar, xT 0.26ScallyLukas Ullrich: 101 passningar, xT 0.73UllrichAxel Hugo Bolin: 89 passningar, xT 0.8BolinKevin Stöger: 85 passningar, xT 0.1StögerFranck Honorat: 64 passningar, xT 0.67HonoratWael Mohya: 53 passningar, xT 0.08Mohya
    Hoffenheim
    Leon Avdullahu: 278 passningar, xT 0.71AvdullahuVladimír Coufal: 226 passningar, xT 1.84CoufalOzan Kabak: 208 passningar, xT 0.6KabakWouter Burger: 203 passningar, xT 0.28BurgerAlbian Hajdari: 184 passningar, xT 0.66HajdariOliver Baumann: 151 passningar, xT 0.3BaumannKoki Machida: 150 passningar, xT 0.24MachidaMats Rots: 137 passningar, xT 0.53RotsAdam Daghim: 99 passningar, xT 0.57DaghimBernardo: 86 passningar, xT 0.12BernardoBambasé Conté: 83 passningar, xT 0.45Conté

    The teams in numbers

    PerformanceBorussia MönchengladbachHoffenheim
    Points03
    xPoints4.66.1
    xG per match1.61.7
    xGA per match2.61.5
    xG within 8s of winning the ball0.260.36
    xGA within 8s of losing the ball0.610.19
    Playing styleBorussia MönchengladbachHoffenheim
    Build-up efficiency0.280.32
    Field tilt0.440.71
    xT per match1.11.5
    xTA per match1.51
    Won balls, offensive half2333
    Pressing intensity0.250.24
    Pressing efficiency0.250.35
    Pressing efficiency, offensive half0.210.32
    Entries into the box per match1323
    Entries into the box against1710
    Pass completion %0.750.76
    Pass completion % under pressure0.670.69
    Passes per match332421
    Passes against per match372274
    Switches of play per match17.727
    Long balls per match2832
    Set piecesBorussia MönchengladbachHoffenheim
    xG from free kicks0.070.02
    Corners per match6.56.7
    Corners against per match5.34.9
    xG per corner0.040.02
    xGA per corner against0.110.06
    First touch, offensive corners %0.240.53
    First touch, defensive corners %0.60.56
    OtherBorussia MönchengladbachHoffenheim
    Throw-in control0.760.71
    The goalkeepersMoritz Nicolas (Borussia Mönchengladbach)Oliver Baumann (Hoffenheim)
    Saves2912
    Save %62%50%
    xG prevented41%44%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Borussia Mönchengladbach vs Hoffenheim according to our model?

    The model gives Hoffenheim a 51% win probability. Full 1X2 picture: Borussia Mönchengladbach 25%, draw 24%, Hoffenheim 51%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 63% according to the model.

    How many goals are expected in Borussia Mönchengladbach vs Hoffenheim?

    The model expects 1.35 goals (xG) for Borussia Mönchengladbach and 1.90 for Hoffenheim, 3.25 in total.

    What does the model say about double chance?

    Borussia Mönchengladbach or draw (1X) 49%, Hoffenheim or draw (X2) 75% and no draw (12) 76%.

    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.