Swedish Ettan23°0,3 mm18 km/h

    Läs på svenska
    LaholmLaholmPossession control
    vs
    Jönköpings SödraJönköpings SödraPossession & high press
    The model's lean: 2 · Jönköpings Södra (48%)Best value by the model: 1 · Laholm @ 4.05 (+2 %)

    LaholmJönköpings Södra · Swedish Ettan

    1 · Laholm 25%X 27%48% Jönköpings Södra · 2

    Analysis: LaholmJönköpings Södra

    Sofia Andersson · · How the predictions work

    A single match in the head-to-head history between Laholms FK and Jönköpings Södra IF is a slim thread to hang any predictive hat on, but it does hint at a narrow victory for the visitors. However, the matchup offers more intrigue than that. Jönköpings Södra IF not only edges Laholms FK in points and expected points this season but also outshines them in expected goals and goals allowed per match. This paints a picture of a team slightly more clinical and defensively robust.

    Laholms FK finds itself battling from a position of vulnerability, their possession-heavy style often lacking the cutting edge needed against top-tier high-pressing sides like Jönköpings Södra IF. The expected goals model suggests a likely scoreline of 1-2 or 0-1, reflecting Jönköpings Södra’s capacity to convert chances while maintaining a solid backline. A 48% probability from the model leans heavily towards an away victory, underscoring the visitors’ dominance in this clash.

    The prospect of over 2.5 goals at 54% and both teams finding the net at 57% injects a bit of goal-scoring promise into this fixture. Yet, the potential for a low-scoring affair remains, especially if Laholms FK manages to control possession effectively and stifle Jönköpings Södra’s high press. Weather conditions aren't a factor here, so expect both teams to stick to their tactical scripts without external disruptions.

    For bettors with a keen eye on value, Laholms FK offers an intriguing EV+ opportunity at odds of 4.05 with Betsafe, Betsson, and Nordicbet, despite the model only rating their win probability at 25%. While this may tempt risk-takers, the smart money remains on Jönköpings Södra IF, given their superior form and style of play. The most compelling angle here is the underdog's odds, but tread carefully — the numbers firmly back the visitors in this encounter.

    LaholmLaholm
    Form LWWLW
    League ranking xG #21xGA #24xT #26xP/match #23Points #26
    Key players
    • Måns AnderssonFxG 0.18 · xT 0.11
    • Philip ComnellFxG 0.26 · xT 0.10
    • Elis WijkFxG 0.53 · xT -0.01
    Jönköpings SödraJönköpings Södra
    Form LDLLW
    League ranking xG #17xGA #4xT #17xP/match #15Points #18
    Key players
    • Linus LyckFxG 0.38 · xT 0.10
    • Faiz BenatallahFxG 0.62 · xT 0.14
    • Anmar KiwarkisLWxG 0.16 · xT 0.18

    Match prediction: LaholmJönköpings Södra

    Predicted score matrix

    Jönköpings Södra
    Laholm
    0
    1
    2
    3
    4+
    0
    0–06.2%
    0–19.0%
    0–27.4%
    0–33.9%
    0–4+2.2%
    1
    1–07.0%
    1–112.0%
    1–29.2%
    1–34.9%
    1–4+2.8%
    2
    2–04.6%
    2–17.3%
    2–25.8%
    2–33.0%
    2–4+1.7%
    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
    1,251,59
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.15
    Over 2,554%
    @1.62

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Jönköpings Södra to win48%
    • Over 1.5 goals78%

    Combined probability

    36%

    Fair odds

    2.79

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

    02 · 3 legs

    Balanced

    • Jönköpings Södra to win48%
    • Over 2.5 goals54%
    • Linus Lyck to score35%

    Combined probability

    10%

    Fair odds

    10.14

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score57%
    • Over 2.5 goals54%
    • Linus Lyck to score35%
    • Olle Johansson to be booked22%

    Combined probability

    3%

    Fair odds

    28.92

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 1 · Laholm25% probability@4.05BetsafeEV+2%
    • 1 · Laholm25% probability@4.05BetssonEV+2%
    • 1 · Laholm25% probability@4.05NordicbetEV+2%
    Bookmaker1 · LaholmX2 · Jönköpings Södra
    Betsafe
    EV+ 2%
    4.05
    EV+ 1%
    3.75
    1.72
    Betsson
    EV+ 2%
    4.05
    EV+ 1%
    3.75
    1.72
    Nordicbet
    EV+ 2%
    4.05
    EV+ 1%
    3.75
    1.72

    Odds updated 12 Aug, 21:36

    Odds movement

    10 %
    25 %20 %

    4.054.05

    X0 %
    27 %22 %

    3.753.75

    20 %
    56 %51 %

    1.721.72

    Betsson · 2 recorded price levels · 10/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Laholm 0Draw 0Jönköpings Södra 1
    Goals: 12 (⌀ 3)

    Head-to-head based on Ettan data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Laholm
    Jönköpings Södra
    When goals are scored and conceded 2026
    Laholm (2230)
    Jönköpings Södra (2419)
    Pass networks

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

    Laholm
    Jonatan Falk: 239 passningar, xT 0.05FalkGentrit Ibishi: 209 passningar, xT 0.32IbishiSamuel Svensson: 196 passningar, xT 0.32SvenssonLucas Ragnarsson: 171 passningar, xT -0.05RagnarssonNils Hedström: 151 passningar, xT 0.96HedströmEdmond Berisha: 126 passningar, xT 0.43BerishaFilip Andersson: 126 passningar, xT 0.42AnderssonMax Johnsson: 109 passningar, xT 0.37JohnssonMåns Andersson: 89 passningar, xT 0.51AnderssonPhilip Comnell: 64 passningar, xT 0.42ComnellAdam Vernersson: 59 passningar, xT 0.37Vernersson
    Jönköpings Södra
    Dzenis Kozica: 252 passningar, xT 1.27KozicaHugo Lyck: 219 passningar, xT -0.24LyckArvid Eriksson: 210 passningar, xT 0.89ErikssonOlle Almström: 191 passningar, xT 1.09AlmströmLukas Eek: 187 passningar, xT 0.3EekKlevis Galabri: 127 passningar, xT -0.08GalabriSebastian Crona: 109 passningar, xT 0.16CronaChristoffer Hellström: 82 passningar, xT -0.04HellströmJonathan Drott: 78 passningar, xT 0.09DrottAlexander Eriksson: 75 passningar, xT 0.29ErikssonColin Farnerud: 71 passningar, xT 0.07Farnerud
    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.

    Laholm
    Jonatan Falk: 239 passningar, xT 0.05FalkGentrit Ibishi: 209 passningar, xT 0.32IbishiSamuel Svensson: 196 passningar, xT 0.32SvenssonLucas Ragnarsson: 171 passningar, xT -0.05RagnarssonNils Hedström: 151 passningar, xT 0.96HedströmEdmond Berisha: 126 passningar, xT 0.43BerishaFilip Andersson: 126 passningar, xT 0.42AnderssonMax Johnsson: 109 passningar, xT 0.37JohnssonMåns Andersson: 89 passningar, xT 0.51AnderssonPhilip Comnell: 64 passningar, xT 0.42ComnellAdam Vernersson: 59 passningar, xT 0.37Vernersson
    Jönköpings Södra
    Dzenis Kozica: 252 passningar, xT 1.27KozicaHugo Lyck: 219 passningar, xT -0.24LyckArvid Eriksson: 210 passningar, xT 0.89ErikssonOlle Almström: 191 passningar, xT 1.09AlmströmLukas Eek: 187 passningar, xT 0.3EekKlevis Galabri: 127 passningar, xT -0.08GalabriSebastian Crona: 109 passningar, xT 0.16CronaChristoffer Hellström: 82 passningar, xT -0.04HellströmJonathan Drott: 78 passningar, xT 0.09DrottAlexander Eriksson: 75 passningar, xT 0.29ErikssonColin Farnerud: 71 passningar, xT 0.07Farnerud

    The teams in numbers

    PerformanceLaholmJönköpings Södra
    Points1621
    xPoints19.922.8
    xG per match1.31.4
    xGA per match1.50.99
    xG within 8s of winning the ball0.260.29
    xGA within 8s of losing the ball0.490.17
    Playing styleLaholmJönköpings Södra
    Build-up efficiency0.370.32
    Field tilt0.390.59
    xT per match1.31.4
    xTA per match1.41.3
    Won balls, offensive half2530
    Pressing intensity0.460.5
    Pressing efficiency0.260.31
    Pressing efficiency, offensive half0.260.33
    Entries into the box per match1215
    Entries into the box against1310
    Pass completion %0.780.78
    Pass completion % under pressure0.70.72
    Passes per match347346
    Passes against per match400275
    Switches of play per match16.415.8
    Long balls per match3027
    Set piecesLaholmJönköpings Södra
    xG from free kicks0.10.08
    Corners per match46.2
    Corners against per match54
    xG per corner0.030.04
    xGA per corner against0.040.02
    First touch, offensive corners %0.350.41
    First touch, defensive corners %0.560.62
    OtherLaholmJönköpings Södra
    Throw-in control0.520.52
    The goalkeepersMax Johnsson (Laholm)Alexander Eriksson (Jönköpings Södra)
    Saves4339
    Save %59%67%
    xG prevented37%43%
    Claims115 (93%)101 (93%)

    Frequently asked questions

    Who wins Laholm vs Jönköpings Södra according to our model?

    The model gives Jönköpings Södra a 48% win probability. Full 1X2 picture: Laholm 25%, draw 27%, Jönköpings Södra 48%.

    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.

    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.