Swedish SuperettanFinnvedsvallen, Värnamo13°9,9 mm20 km/h

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    IFK VärnamoIFK VärnamoPossession control
    vs
    ÖsterÖsterCounter-attacks & crosses
    The model's lean: 1 · IFK Värnamo (46%)Best value by the model: Under 2,5 @ 2.40 (+12 %)

    IFK VärnamoÖster · Swedish Superettan

    1 · IFK Värnamo 46%X 25%30% Öster · 2

    Analysis: IFK VärnamoÖster

    Sofia Andersson · · The model's read on the match · How the predictions work

    In their solitary head-to-head encounter since 2024, Öster came away with a win against IFK Värnamo. However, this single result provides insufficient evidence to predict future outcomes, especially given Värnamo's current impressive unbeaten streak in their last eight league matches. This momentum underscores a resilience that the numbers seem to favor, aligning closely with their higher model probability to win at 46%.

    Turning to the teams' recent performances, the expected goals (xG) statistics suggest a tight contest. Värnamo's expected goals per match stand at 1.0, while they concede an average of 1.3 xGA. Conversely, Öster averages 1.2 xG but with a more porous defense, conceding 1.7 xGA. The model's expected goals imply a close match with the potential for both teams to find the net, reflected in the 57% likelihood of both teams scoring.

    The weather forecast of over 10 mm of rain could lead to a more subdued affair, potentially dampening the attacking ambitions of both sides. The model's assessment of a 53% chance for over 2.5 goals might seem enticing, but the conditions could suppress goal-scoring opportunities, aligning with the lean towards under 2.5 goals.

    The sharpest angle here lies in the under 2.5 goals market, where there's a substantial value play. With odds of 2.4 available from Betsafe, Betsson, and Nordicbet, the model finds a 12% edge in backing fewer than three goals. Given the conditions and Värnamo's defensive capabilities, this offers a compelling proposition amid the model's cautious lean towards a narrow home victory or a low-scoring draw.

    IFK VärnamoIFK Värnamo
    Form DDWDW
    League ranking xG #14xGA #5xT #13xP/match #13Points #12
    Key players
    • Axel BjörnströmLWxG 0.09 · xT 0.39
    • Kai MeriluotoFxG 0.24 · xT 0.02
    • Carl JohanssonRWxG 0.08 · xT 0.13
    ÖsterÖster
    Form LWWDL
    League ranking xG #12xGA #16xT #11xP/match #14Points #8
    Key players
    • Dennis OlssonLWxG 0.04 · xT 0.48
    • Linus CarlstrandFxG 0.46 · xT -0.02
    • Mattis AdolfssonCBxG 0.08 · xT 0.09

    Match prediction: IFK VärnamoÖster

    Predicted score matrix

    Öster
    IFK Värnamo
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–17.5%
    0–25.1%
    0–32.2%
    0–4+1.0%
    1
    1–08.7%
    1–112.2%
    1–27.7%
    1–33.3%
    1–4+1.4%
    2
    2–06.8%
    2–18.9%
    2–25.8%
    2–32.5%
    2–4+1.1%
    3
    3–03.4%
    3–14.5%
    3–22.9%
    3–31.3%
    3–4+0.5%
    4+
    4+–01.8%
    4+–12.4%
    4+–21.5%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.1-28%
    5. 5.0-17%
    Expected goals
    1,511,30
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.40EV+12%
    Over 2,553%
    @1.52

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • IFK Värnamo to win46%
    • Over 1.5 goals77%

    Combined probability

    33%

    Fair odds

    3.03

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

    02 · 3 legs

    Balanced

    • IFK Värnamo to win46%
    • Over 2.5 goals53%
    • Marcus Antonsson to score22%

    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 goals53%
    • Linus Carlstrand to score25%
    • Logi Hrafn Robertsson to be booked21%

    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 2.547% probability@2.40BetsafeEV+12%reference odds
    • Under 2.547% probability@2.40BetssonEV+12%reference odds
    • Under 2.547% probability@2.40NordicbetEV+12%reference odds
    Bookmaker1 · IFK VärnamoX2 · Öster
    Betsafe1.953.83
    EV+ 2%
    3.45
    Betsson1.953.83
    EV+ 2%
    3.45
    Nordicbet1.953.83
    EV+ 2%
    3.45
    Pinnacle1.953.82
    EV+ 1%
    3.42

    Odds updated 11 Sept, 16:16

    Odds movement

    1-1 %
    50 %45 %

    1.971.95

    X0 %
    27 %22 %

    3.823.82

    2+2 %
    30 %25 %

    3.363.42

    Pinnacle · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    IFK Värnamo 0Draw 0Öster 1
    Goals: 03 (⌀ 3)

    Head-to-head based on Superettan data since 2024.

    Key facts

    • IFK Värnamo are unbeaten in their last 8 league matches.
    xG & xGA per match — 3-game rolling average

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

    IFK Värnamo
    Öster
    When goals are scored and conceded 2026
    IFK Värnamo (3041)
    Öster (3332)
    Pass networks

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

    IFK Värnamo
    Johan Rapp: 243 passningar, xT 0.73RappArash Motaraghebjafarpour: 242 passningar, xT 0.85MotaraghebjafarpourAxel Björnström: 209 passningar, xT 2.16BjörnströmViktor Claesson Cedercrantz: 170 passningar, xT 0.01CedercrantzCalle Johansson: 168 passningar, xT 0.11JohanssonCarl Johansson: 120 passningar, xT 0.26JohanssonSamuel Ohlsson: 119 passningar, xT 0.33OhlssonHugo Keto: 79 passningar, xT 0.32KetoMarcus Antonsson: 73 passningar, xT -0.1AntonssonHugo Mella: 73 passningar, xT 0.32MellaSigge Jansson: 64 passningar, xT 0.01Jansson
    Öster
    Sebastian Hedlund: 207 passningar, xT 0.22HedlundHannes Bladh Pijaca: 183 passningar, xT 0.33PijacaDennis Olsson: 173 passningar, xT 3.97OlssonTatu Varmanen: 152 passningar, xT 0.42VarmanenKingsley Gyamfi: 119 passningar, xT 0.09GyamfiNoah Söderberg: 109 passningar, xT 0.21SöderbergMusa Jatta: 96 passningar, xT 0.2JattaCarl Lundahl Persson: 84 passningar, xT 0.2PerssonOscar Uddenäs: 78 passningar, xT 0.33UddenäsDaniel Ask: 67 passningar, xT 0.21AskMagnus Christensen: 60 passningar, xT -0.02Christensen
    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.

    IFK Värnamo
    Johan Rapp: 243 passningar, xT 0.73RappArash Motaraghebjafarpour: 242 passningar, xT 0.85MotaraghebjafarpourAxel Björnström: 209 passningar, xT 2.16BjörnströmViktor Claesson Cedercrantz: 170 passningar, xT 0.01CedercrantzCalle Johansson: 168 passningar, xT 0.11JohanssonCarl Johansson: 120 passningar, xT 0.26JohanssonSamuel Ohlsson: 119 passningar, xT 0.33OhlssonHugo Keto: 79 passningar, xT 0.32KetoMarcus Antonsson: 73 passningar, xT -0.1AntonssonHugo Mella: 73 passningar, xT 0.32MellaSigge Jansson: 64 passningar, xT 0.01Jansson
    Öster
    Sebastian Hedlund: 207 passningar, xT 0.22HedlundHannes Bladh Pijaca: 183 passningar, xT 0.33PijacaDennis Olsson: 173 passningar, xT 3.97OlssonTatu Varmanen: 152 passningar, xT 0.42VarmanenKingsley Gyamfi: 119 passningar, xT 0.09GyamfiNoah Söderberg: 109 passningar, xT 0.21SöderbergMusa Jatta: 96 passningar, xT 0.2JattaCarl Lundahl Persson: 84 passningar, xT 0.2PerssonOscar Uddenäs: 78 passningar, xT 0.33UddenäsDaniel Ask: 67 passningar, xT 0.21AskMagnus Christensen: 60 passningar, xT -0.02Christensen

    The teams in numbers

    PerformanceIFK VärnamoÖster
    Points2633
    xPoints27.125.8
    xG per match11.2
    xGA per match1.31.7
    xG within 8s of winning the ball0.20.23
    xGA within 8s of losing the ball0.250.34
    Playing styleIFK VärnamoÖster
    Build-up efficiency0.320.35
    Field tilt0.480.46
    xT per match1.31.4
    xTA per match1.61.9
    Won balls, offensive half3327
    Pressing intensity0.550.54
    Pressing efficiency0.280.26
    Pressing efficiency, offensive half0.30.27
    Entries into the box per match1513
    Entries into the box against1519
    Pass completion %0.770.79
    Pass completion % under pressure0.720.74
    Passes per match375373
    Passes against per match373381
    Switches of play per match15.214
    Long balls per match3229
    Set piecesIFK VärnamoÖster
    xG from free kicks0.110.16
    Corners per match4.85
    Corners against per match5.16
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.430.37
    First touch, defensive corners %0.560.56
    OtherIFK VärnamoÖster
    Throw-in control0.470.57
    The goalkeepersHugo Keto (IFK Värnamo)Carl Lundahl Persson (Öster)
    Saves7592
    Save %68%77%
    xG prevented48%56%
    Claims117 (91%)122 (85%)

    Teams & more matches this round

    Frequently asked questions

    Who wins IFK Värnamo vs Öster according to our model?

    The model gives IFK Värnamo a 46% win probability. Full 1X2 picture: IFK Värnamo 46%, draw 25%, Öster 30%.

    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 53% and under at 47%.

    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.