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    ThunThunLow block & direct
    vs
    Hajduk SplitHajduk SplitLow block & direct
    The model's lean: 2 · Hajduk Split (50%)

    Thun vs Hajduk Split · Conference League

    1 · Thun 26%X 24%50% Hajduk Split · 2

    Prediction summary

    BetBuilders AI model prediction for Thun vs Hajduk Split (Conference League, Thursday, 22 October 2026): Thun win 26%, draw 24%, Hajduk Split win 50%. Expected goals (xG): Thun 1.13, Hajduk Split 1.80. Most likely score: 1-1 (11%). Over 2.5 goals 56%, both teams to score 57%. Double chance: Thun or draw 50%, Hajduk Split or draw 74%. Prediction updated Wednesday, 14 October 2026.

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    Analysis: Thun – Hajduk Split

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

    With an eye-catching 15% edge in the betting market, Hajduk Split's chances against Thun appear promising, especially with odds of 2.32 available on Betsafe and Nordicbet. This matchup centers around the visitors’ ability to capitalize on their superior form and metrics, compared to a struggling host side.

    Hajduk Split's model-based probability of 50% to win — paired with a striking 1.80 expected goals — suggests they are likely to control the narrative on the pitch. In contrast, Thun’s expected goals sit at a meager 1.13, reflecting a concerning lack of cutting edge in the final third. The Swiss side's direct style has not translated into effective offense, further illustrated by their inability to secure a point thus far and a feeble 0.23 xG per match.

    While the scoreline projections hover closely — with a 1-1 draw at 11% and a 1-2 away win at 10% — the underlying statistics favor Split's more potent attacking unit. Both teams’ defensive vulnerabilities (low defense and direct playing style) might initially suggest a goal-laden match, but the reality of Thun’s blunt attack could temper expectations. The visitors have shown a more composed defensive structure, conceding only 1.5 xGA per match compared to the hosts' alarming 2.4.

    When considering the over/under 2.5 goals, the 56% lean toward the over slightly edges expectations toward a more open affair, but Thun’s frailty in front of goal tempers enthusiasm for a high-scoring spectacle. Still, the 57% probability of both teams scoring aligns with the potential for Split to breach Thun’s defense, while the hosts might just capitalize on an occasional lapse.

    Ultimately, the sharpest angle is clear: backing Hajduk Split away at the generous odds of 2.32 presents value. The model’s confidence in their 50% win probability makes this bet a standout play.

    ThunThun
    Form L
    League ranking xG #76xGA #66xT #75xP/match #68Points #71
    Key players
    • Brighton LabeauFxG 0.26 · xT 0.17
    • Nicolas Sandro BürgyCBxG 0.15 · xT 0.13
    • Fabio FehrRWBxG 0.14 · xT 0.26
    • Numbers from Swiss Super League 2026
    Hajduk SplitHajduk Split
    Form WW
    League ranking xG #33xGA #40xT #46xP/match #25Points #17
    Key players
    • Šimun HrgovićFxG 0.08 · xT 0.11
    • Marin ŠotičekLWxG 0.21 · xT 0.17
    • Dario MarešićCBxG 0.01 · xT 0.09

    Match prediction: Thun – Hajduk Split

    Predicted score matrix

    Hajduk Split →
    Thun →
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–19.3%
    0–28.7%
    0–35.2%
    0–4+3.5%
    1
    1–05.7%
    1–111.2%
    1–29.8%
    1–35.9%
    1–4+4.0%
    2
    2–03.4%
    2–16.1%
    2–25.5%
    2–33.3%
    2–4+2.2%
    3
    3–01.3%
    3–12.3%
    3–22.1%
    3–31.2%
    3–4+0.8%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.7%
    4+–30.4%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.0-29%
    5. 5.2-16%
    Expected goals
    1,13–1,80
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.28EV+0%
    Over 2,556%
    @1.58

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hajduk Split to win50%
    • Over 1.5 goals79%

    Combined probability

    43%

    Fair odds

    2.31

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

    02 · 3 legs

    Balanced

    • Hajduk Split to win50%
    • Over 2.5 goals56%
    • Dalisson de Almeida Leite to score29%

    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 goals56%
    • Dalisson de Almeida Leite to score29%
    • Justin Roth 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+).

    • 2 · Hajduk Split50% probability@2.31PinnacleEV+15%reference odds
    • 2 · Hajduk Split50% probability@2.30LeoVegasEV+14%reference odds
    • 2 · Hajduk Split50% probability@2.25BetsafeEV+12%reference odds
    Bookmaker1 · ThunX2 · Hajduk Split
    Betsafe2.853.45
    EV+ 12%
    2.25
    LeoVegas2.803.55
    EV+ 14%
    2.30
    Nordicbet2.853.45
    EV+ 12%
    2.25
    Pinnacle2.903.69
    EV+ 15%
    2.31

    Odds updated 22 Oct, 08:36

    Odds movement

    1+4 %
    36 %31 %

    2.79 → 2.90

    X+3 %
    29 %24 %

    3.60 → 3.69

    2-3 %
    43 %38 %

    2.37 → 2.31

    Pinnacle · 4 recorded price levels · 20/10/2026 → 22/10/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Hajduk Split
    When goals are scored and conceded — 2026
    Thun (0–1)
    Hajduk Split (5–3)
    Pass networks

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

    Thun
    Niklas Steffen: 27 passningar, xT 0.02SteffenNicolas Sandro Bürgy: 25 passningar, xT 0.06BürgyMattias Kait: 24 passningar, xT 0.01KaitFabio Fehr: 19 passningar, xT 0.04FehrJan Bamert: 16 passningar, xT 0.01BamertJustin Roth: 13 passningar, xT -0.03RothNassim-Othmane Zoukit: 11 passningar, xT 0.01ZoukitOlivier Mambwa: 10 passningar, xT 0MambwaPatrik Kristal: 9 passningar, xT 0.01KristalLouis Immanuel Passavant: 8 passningar, xT 0.01PassavantBrighton Labeau: 5 passningar, xT -0.01Labeau
    Hajduk Split
    Mathieu Acapandié: 62 passningar, xT 0.05AcapandiéDario Marešić: 59 passningar, xT 0.18MarešićDennis Hadžikadunić: 53 passningar, xT 0.12HadžikadunićToni Silić: 52 passningar, xT 0.06SilićKhalil Fayad: 46 passningar, xT 0FayadAlberto del Moral Saelices: 37 passningar, xT 0.01SaelicesŠimun Hrgović: 36 passningar, xT 0.24HrgovićDalisson de Almeida Leite: 32 passningar, xT 0.1LeiteRokas Pukštas: 23 passningar, xT 0.27PukštasAbdoulie Sanyang: 19 passningar, xT 0.02SanyangMarin Šotiček: 18 passningar, xT 0.28Šotiček
    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.

    Thun
    Niklas Steffen: 27 passningar, xT 0.02SteffenNicolas Sandro Bürgy: 25 passningar, xT 0.06BürgyMattias Kait: 24 passningar, xT 0.01KaitFabio Fehr: 19 passningar, xT 0.04FehrJan Bamert: 16 passningar, xT 0.01BamertJustin Roth: 13 passningar, xT -0.03RothNassim-Othmane Zoukit: 11 passningar, xT 0.01ZoukitOlivier Mambwa: 10 passningar, xT 0MambwaPatrik Kristal: 9 passningar, xT 0.01KristalLouis Immanuel Passavant: 8 passningar, xT 0.01PassavantBrighton Labeau: 5 passningar, xT -0.01Labeau
    Hajduk Split
    Mathieu Acapandié: 62 passningar, xT 0.05AcapandiéDario Marešić: 59 passningar, xT 0.18MarešićDennis Hadžikadunić: 53 passningar, xT 0.12HadžikadunićToni Silić: 52 passningar, xT 0.06SilićKhalil Fayad: 46 passningar, xT 0FayadAlberto del Moral Saelices: 37 passningar, xT 0.01SaelicesŠimun Hrgović: 36 passningar, xT 0.24HrgovićDalisson de Almeida Leite: 32 passningar, xT 0.1LeiteRokas Pukštas: 23 passningar, xT 0.27PukštasAbdoulie Sanyang: 19 passningar, xT 0.02SanyangMarin Šotiček: 18 passningar, xT 0.28Šotiček

    The teams in numbers

    PerformanceThunHajduk Split
    Points06
    xPoints0.73.1
    xG per match0.231.3
    xGA per match2.41.5
    xG within 8s of winning the ball0.130.45
    xGA within 8s of losing the ball0.580.1
    Playing styleThunHajduk Split
    Build-up efficiency0.330.3
    Field tilt0.040.33
    xT per match0.140.86
    xTA per match1.41.3
    Won balls, offensive half1526
    Pressing intensity0.260.25
    Pressing efficiency0.170.31
    Pressing efficiency, offensive half0.190.27
    Entries into the box per match19
    Entries into the box against2413
    Pass completion %0.630.7
    Pass completion % under pressure0.670.67
    Passes per match180222
    Passes against per match611406
    Switches of play per match6.218.5
    Long balls per match2225
    Set piecesThunHajduk Split
    xG from free kicks0.020
    Corners per match13.4
    Corners against per match6.24.2
    xG per corner0.040.09
    xGA per corner against0.010.02
    First touch, offensive corners %00.62
    First touch, defensive corners %0.330.7
    OtherThunHajduk Split
    Throw-in control0.880.62
    The goalkeepersNiklas Steffen (Thun)Toni Silić (Hajduk Split)
    Saves46
    Save %80%67%
    xG prevented91%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Thun vs Hajduk Split according to our model?

    The model gives Hajduk Split a 50% win probability. Full 1X2 picture: Thun 26%, draw 24%, Hajduk Split 50%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 56% and under at 44%.

    Will both teams score?

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

    How many goals are expected in Thun vs Hajduk Split?

    The model expects 1.13 goals (xG) for Thun and 1.80 for Hajduk Split, 2.93 in total.

    What does the model say about double chance?

    Thun or draw (1X) 50%, Hajduk Split or draw (X2) 74% 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.