Swedish Ettan15°0,8 mm16 km/h

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    LaholmLaholmPossession control
    vs
    EskilsminneEskilsminnePossession & high press
    The model's lean: 2 · Eskilsminne (44%)

    LaholmEskilsminne · Swedish Ettan

    1 · Laholm 30%X 26%44% Eskilsminne · 2

    Analysis: LaholmEskilsminne

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Eskilsminne's high-pressing style might just be the key factor in this clash against Laholm. Both teams lean into possession, but it's the visitors' ability to disrupt and transition quickly that could tilt the scales. With the model probabilities giving Eskilsminne a 44% chance of taking all three points, there's a clear lean towards them despite the expected goals being nearly level at 1.74 for Eskilsminne and 1.67 for Laholm.

    A close reading of the numbers reveals a consistent edge for the visitors. Eskilsminne not only has a slight advantage in xG per match at 1.4 compared to Laholm's 1.3, but they also concede marginally less, with an xGA of 1.4 against Laholm's 1.5. The head-to-head record, albeit based on a single match since 2023, adds a psychological edge, having already defeated Laholm once.

    Goals are expected to flow, with a 66% probability of the match exceeding 2.5 goals. Both teams to score sits at 67%, hinting at a likely exchange of goals. Laholm's possession-oriented approach might lead to periods of control, but Eskilsminne's pressing could force turnovers in dangerous areas. This dynamic supports the model's most likely scoreline of 1-1, though a 1-2 away victory follows closely behind as a scoreline Eskilsminne will be keen to achieve to solidify their standing.

    The most compelling betting angle here lies in the value offered by the bookmakers. With Betsafe, Betsson, and Nordicbet all offering odds of 2.85 on an Eskilsminne win, there's a significant 25% edge according to the model's 44% probability. This potential for value makes backing the visitors an attractive proposition, particularly for punters looking for a calculated risk with solid data to back it up.

    LaholmLaholm
    Form WDLDL
    League ranking xG #21xGA #21xT #28xP/match #25Points #27
    Key players
    • Philip ComnellFxG 0.34 · xT 0.08
    • Viggo RolfssonFxG 0.14 · xT 0.12
    • Elis WijkFxG 0.50 · xT -0.02
    EskilsminneEskilsminne
    Form DWDLL
    League ranking xG #17xGA #19xT #6xP/match #15Points #19
    Key players
    • Hugo LindahlFxG 0.07 · xT 0.08
    • Leo Frigell JanssonRWxG 0.06 · xT 0.30
    • André GustafsonFxG 0.48 · xT -0.02

    Match prediction: LaholmEskilsminne

    Predicted score matrix

    Eskilsminne
    Laholm
    0
    1
    2
    3
    4+
    0
    0–03.6%
    0–15.5%
    0–25.0%
    0–32.9%
    0–4+1.9%
    1
    1–05.2%
    1–19.9%
    1–28.3%
    1–34.8%
    1–4+3.1%
    2
    2–04.6%
    2–18.0%
    2–27.0%
    2–34.0%
    2–4+2.6%
    3
    3–02.6%
    3–14.5%
    3–23.9%
    3–32.3%
    3–4+1.4%
    4+
    4+–01.6%
    4+–12.7%
    4+–22.4%
    4+–31.4%
    4+–4+0.9%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-28%
    3. 3.2-18%
    4. 4.2-27%
    5. 5.0-15%
    Expected goals
    1,671,74
    Both teams to score
    67%

    Over/under goals

    Expected goals: 3,4
    Under 2,534%
    @2.35
    Over 2,566%
    @1.52EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Eskilsminne or draw (X2)63%
    • Over 1.5 goals86%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Double chance Eskilsminne or draw (X2)63%
    • Over 2.5 goals66%
    • Teddy Bermudez to score19%

    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 score67%
    • Over 2.5 goals66%
    • Philip Comnell to score34%
    • Lucas Ragnarsson to be booked19%

    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 · Eskilsminne44% probability@2.85BetsafeEV+25%reference odds
    • 2 · Eskilsminne44% probability@2.85BetssonEV+25%reference odds
    • 2 · Eskilsminne44% probability@2.85NordicbetEV+25%reference odds
    Bookmaker1 · LaholmX2 · Eskilsminne
    Betsafe2.153.50
    EV+ 25%
    2.85
    Betsson2.153.50
    EV+ 25%
    2.85
    Nordicbet2.153.50
    EV+ 25%
    2.85

    Odds updated 10 Sept, 17:37

    Odds movement

    Market signal

    The market has moved clearly towards a Laholm win since 7 September — the odds have shortened from 2.75 to 2.15 (−22%).

    1-22 %
    48 %28 %

    2.752.15

    X-3 %
    36 %16 %

    3.603.50

    2+33 %
    47 %27 %

    2.152.85

    Betsson · 6 recorded price levels · 07/09/2026 → 10/09/2026 · fixed scale 20 percentage points

    Statistics

    Head-to-head

    1 matches
    Laholm 0Draw 0Eskilsminne 1
    Goals: 01 (⌀ 1)

    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
    Eskilsminne
    When goals are scored and conceded 2026
    Laholm (2738)
    Eskilsminne (3237)
    Pass networks

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

    Laholm
    Samuel Svensson: 198 passningar, xT 0.9SvenssonOlle Johansson: 191 passningar, xT 0.37JohanssonJonatan Falk: 174 passningar, xT 0.2FalkNils Hedström: 126 passningar, xT 0.84HedströmGentrit Ibishi: 124 passningar, xT 0.17IbishiLucas Ragnarsson: 118 passningar, xT -0.16RagnarssonMåns Andersson: 116 passningar, xT 0.62AnderssonEdmond Berisha: 114 passningar, xT 0.3BerishaFilip Andersson: 104 passningar, xT 0.35AnderssonMax Johnsson: 89 passningar, xT 0.16JohnssonPhilip Comnell: 56 passningar, xT 0.03Comnell
    Eskilsminne
    Lucas Ohlander: 229 passningar, xT 0.95OhlanderWilliam Nilsson: 188 passningar, xT 0.31NilssonWilliam Westerlund: 187 passningar, xT 0.69WesterlundAxel Sjöberg: 162 passningar, xT 1.48SjöbergMelvin Larsson: 148 passningar, xT -0.02LarssonEgon Kurtulus: 139 passningar, xT 0.45KurtulusCasper Ljung Hofvendahl: 99 passningar, xT 0.89HofvendahlIan Pettersson: 74 passningar, xT 0.3PetterssonChristian Ljungberg: 62 passningar, xT 0.21LjungbergHugo Lindahl: 53 passningar, xT 0.49LindahlAndré Gustafson: 52 passningar, xT -0.19Gustafson
    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
    Samuel Svensson: 198 passningar, xT 0.9SvenssonOlle Johansson: 191 passningar, xT 0.37JohanssonJonatan Falk: 174 passningar, xT 0.2FalkNils Hedström: 126 passningar, xT 0.84HedströmGentrit Ibishi: 124 passningar, xT 0.17IbishiLucas Ragnarsson: 118 passningar, xT -0.16RagnarssonMåns Andersson: 116 passningar, xT 0.62AnderssonEdmond Berisha: 114 passningar, xT 0.3BerishaFilip Andersson: 104 passningar, xT 0.35AnderssonMax Johnsson: 89 passningar, xT 0.16JohnssonPhilip Comnell: 56 passningar, xT 0.03Comnell
    Eskilsminne
    Lucas Ohlander: 229 passningar, xT 0.95OhlanderWilliam Nilsson: 188 passningar, xT 0.31NilssonWilliam Westerlund: 187 passningar, xT 0.69WesterlundAxel Sjöberg: 162 passningar, xT 1.48SjöbergMelvin Larsson: 148 passningar, xT -0.02LarssonEgon Kurtulus: 139 passningar, xT 0.45KurtulusCasper Ljung Hofvendahl: 99 passningar, xT 0.89HofvendahlIan Pettersson: 74 passningar, xT 0.3PetterssonChristian Ljungberg: 62 passningar, xT 0.21LjungbergHugo Lindahl: 53 passningar, xT 0.49LindahlAndré Gustafson: 52 passningar, xT -0.19Gustafson

    The teams in numbers

    PerformanceLaholmEskilsminne
    Points1825
    xPoints2528.2
    xG per match1.31.4
    xGA per match1.51.4
    xG within 8s of winning the ball0.290.21
    xGA within 8s of losing the ball0.460.28
    Playing styleLaholmEskilsminne
    Build-up efficiency0.370.36
    Field tilt0.410.51
    xT per match1.21.6
    xTA per match1.41.5
    Won balls, offensive half2529
    Pressing intensity0.460.51
    Pressing efficiency0.260.27
    Pressing efficiency, offensive half0.260.26
    Entries into the box per match1215
    Entries into the box against1315
    Pass completion %0.780.77
    Pass completion % under pressure0.70.72
    Passes per match350341
    Passes against per match389348
    Switches of play per match16.421.2
    Long balls per match3036
    Set piecesLaholmEskilsminne
    xG from free kicks0.090.15
    Corners per match44.5
    Corners against per match4.75.2
    xG per corner0.030.02
    xGA per corner against0.040.02
    First touch, offensive corners %0.370.34
    First touch, defensive corners %0.530.58
    OtherLaholmEskilsminne
    Throw-in control0.530.55
    The goalkeepersMax Johnsson (Laholm)Ian Pettersson (Eskilsminne)
    Saves5569
    Save %59%66%
    xG prevented37%44%
    Claims143 (93%)107 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Laholm vs Eskilsminne according to our model?

    The model gives Eskilsminne a 44% win probability. Full 1X2 picture: Laholm 30%, draw 26%, Eskilsminne 44%.

    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 66% and under at 34%.

    Will both teams score?

    The probability of both teams scoring is 67% 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.