Swedish AllsvenskanIver Arena, Västerås14°4,2 mm11 km/h

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    Västerås SKVästerås SKBalanced & physical
    vs
    Kalmar FFKalmar FFPossession control
    The model's lean: 2 · Kalmar FF (38%)Soft drawBest value by the model: Under 2,5 @ 2.02 (+4 %)

    Västerås SKKalmar FF · Swedish Allsvenskan

    1 · Västerås SK 33%X 28%38% Kalmar FF · 2

    Analysis: Västerås SKKalmar FF

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

    Three matches between Västerås SK FK and Kalmar FF since 2023 and Västerås have claimed every single one. Yet, before you get carried away by this head-to-head record, remember the small sample size. Digging deeper, Kalmar's edge in both xG and xGA per match suggests that they might be the better side over the long haul, but Västerås SK FK have shown a knack for making the most of their chances, which defies their lower xPoints.

    Kalmar FF come into this clash with a slight model-favored probability at 38%, against Västerås SK FK’s 33%. However, both teams' capacity to find the back of the net, backed by a 53% chance of both teams scoring, suggests a tight affair. The expected goal figures tilt slightly towards Västerås SK FK at 1.41 to Kalmar FF’s 1.21, yet the visitors’ higher xG and tighter xGA may indicate they could weather and counter Västerås’ physical style, especially with the rain potentially hampering Västerås’ rhythm.

    Västerås SK FK's points tally of 25 compared to Kalmar FF’s 18 might hint at a stronger squad on paper, but the discrepancy between their actual points and xPoints—23.2 for Kalmar FF and 19.9 for Västerås SK FK—tells the story of a home side that’s perhaps overperforming and a visiting team underachieving. Kalmar FF’s possession-based approach could help them control the game, particularly if Västerås struggle to find fluency in damp conditions.

    The most likely scoreline, according to the models, sits at 1-1 with a 13% probability. This aligns with the edge in xG for Västerås but acknowledges Kalmar’s defensive sturdiness. The over/under 2.5 goals rests perfectly balanced at 49%, but the weather forecast suggests leaning towards the under, potentially keeping the total goals suppressed.

    The shrewdest angle here? A sneaky value on Kalmar FF to edge it, despite Västerås’ head-to-head superiority. Bet365 offers Kalmar at enticing odds of 2.80, a price that could well reward those backing the model’s lean in a game encumbered by rain and possession play.

    Västerås SKVästerås SK
    Form DWLWL
    League ranking xG #14xGA #14xT #16xP/match #11Points #7
    Key players
    • Mikkel LadefogedFxG 0.52 · xT -0.02
    • Simon GefvertRWxG 0.07 · xT 0.16
    • Herman MagnussonCBxG 0.04 · xT 0.10
    Kalmar FFKalmar FF
    Form LDWDL
    League ranking xG #10xGA #6xT #8xP/match #7Points #11
    Key players
    • Anthony OlusanyaFxG 0.37 · xT -0.03
    • Charles Sagoe JrLWxG 0.17 · xT 0.24
    • Charlie RosenqvistRWxG 0.29 · xT 0.11

    Match prediction: Västerås SKKalmar FF

    Predicted score matrix

    Kalmar FF
    Västerås SK
    0
    1
    2
    3
    4+
    0
    0–07.7%
    0–18.4%
    0–25.3%
    0–32.1%
    0–4+0.8%
    1
    1–09.9%
    1–112.8%
    1–27.5%
    1–33.0%
    1–4+1.2%
    2
    2–07.3%
    2–18.8%
    2–25.3%
    2–32.1%
    2–4+0.8%
    3
    3–03.4%
    3–14.1%
    3–22.5%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.6%
    4+–12.0%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.0-08%
    Expected goals
    1,411,21
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @2.02EV+4%
    Over 2,549%
    @1.75

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Kalmar FF or draw (X2)59%
    • Under 3.5 goals73%

    Combined probability

    44%

    Fair odds

    2.28

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

    02 · 3 legs

    Balanced

    • Double chance Kalmar FF or draw (X2)59%
    • Under 2.5 goals51%
    • Charlie Rosenqvist to score20%

    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 score53%
    • Over 2.5 goals49%
    • Bonaventure Lendambi to score27%
    • Lars Sætra to be booked20%

    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 2.551% probability@2.02BetsafeEV+4%reference odds
    • Under 2.551% probability@2.02BetssonEV+4%reference odds
    • Under 2.551% probability@2.02NordicbetEV+4%reference odds
    Bookmaker1 · Västerås SKX2 · Kalmar FF
    Betsafe2.633.42
    EV+ 0%
    2.63
    Betsson2.633.42
    EV+ 0%
    2.63
    Nordicbet2.633.42
    EV+ 0%
    2.63

    Odds updated 18 Aug, 15:36

    Odds movement

    1-4 %
    38 %33 %

    2.742.63

    X0 %
    30 %25 %

    3.423.42

    2+4 %
    39 %34 %

    2.542.63

    Over 2,5-2 %
    56 %51 %

    1.781.75

    Betsson · 10 recorded price levels · 16/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Västerås SK 3Draw 0Kalmar FF 0
    Goals: 71 (⌀ 2,7)

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

    xG & xGA per match — 3-game rolling average

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

    Västerås SK
    Kalmar FF
    When goals are scored and conceded 2026
    Västerås SK (2532)
    Kalmar FF (2124)
    Pass networks

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

    Västerås SK
    Herman Magnusson: 245 passningar, xT 0.51MagnussonPhilip Bonde: 200 passningar, xT 0.35BondeSimon Gefvert: 187 passningar, xT 0.69GefvertHaladj-Madiou Keita: 180 passningar, xT 0.17KeitaMamadou Ousmane Diagne: 179 passningar, xT 0.41DiagneSountonoma Axel Taonsa: 101 passningar, xT 0.3TaonsaKarl Gunnarsson: 92 passningar, xT 0.07GunnarssonIsmet Lushaku: 88 passningar, xT 0.41LushakuJonathan Karlsson: 86 passningar, xT 0.13KarlssonMattias Hellisdal: 85 passningar, xT 0.64HellisdalMarcus Baggesen: 64 passningar, xT 0.03Baggesen
    Kalmar FF
    Carl Gustafsson: 221 passningar, xT 0.7GustafssonLars Sætra: 194 passningar, xT 0.24SætraAboubacar Keita: 178 passningar, xT 0.2KeitaRobert Gojani: 175 passningar, xT 0.26GojaniMelker Hallberg: 149 passningar, xT 0.76HallbergCharles Sagoe Jr: 139 passningar, xT 0.29JrSivert Engh Øverby: 127 passningar, xT 0.33ØverbyRony Jansson: 118 passningar, xT 0.2JanssonNassef Chourak: 112 passningar, xT 0.41ChourakVictor Larsson: 84 passningar, xT 0.08LarssonMarius Söderbäck: 76 passningar, xT 0.03Söderbäck
    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.

    Västerås SK
    Herman Magnusson: 245 passningar, xT 0.51MagnussonPhilip Bonde: 200 passningar, xT 0.35BondeSimon Gefvert: 187 passningar, xT 0.69GefvertHaladj-Madiou Keita: 180 passningar, xT 0.17KeitaMamadou Ousmane Diagne: 179 passningar, xT 0.41DiagneSountonoma Axel Taonsa: 101 passningar, xT 0.3TaonsaKarl Gunnarsson: 92 passningar, xT 0.07GunnarssonIsmet Lushaku: 88 passningar, xT 0.41LushakuJonathan Karlsson: 86 passningar, xT 0.13KarlssonMattias Hellisdal: 85 passningar, xT 0.64HellisdalMarcus Baggesen: 64 passningar, xT 0.03Baggesen
    Kalmar FF
    Carl Gustafsson: 221 passningar, xT 0.7GustafssonLars Sætra: 194 passningar, xT 0.24SætraAboubacar Keita: 178 passningar, xT 0.2KeitaRobert Gojani: 175 passningar, xT 0.26GojaniMelker Hallberg: 149 passningar, xT 0.76HallbergCharles Sagoe Jr: 139 passningar, xT 0.29JrSivert Engh Øverby: 127 passningar, xT 0.33ØverbyRony Jansson: 118 passningar, xT 0.2JanssonNassef Chourak: 112 passningar, xT 0.41ChourakVictor Larsson: 84 passningar, xT 0.08LarssonMarius Söderbäck: 76 passningar, xT 0.03Söderbäck

    The teams in numbers

    PerformanceVästerås SKKalmar FF
    Points2518
    xPoints19.923.2
    xG per match1.11.3
    xGA per match1.71.2
    xG within 8s of winning the ball0.230.28
    xGA within 8s of losing the ball0.360.2
    Playing styleVästerås SKKalmar FF
    Build-up efficiency0.320.31
    Field tilt0.420.48
    xT per match1.11.4
    xTA per match1.61.2
    Won balls, offensive half3032
    Pressing intensity0.540.52
    Pressing efficiency0.240.23
    Pressing efficiency, offensive half0.260.24
    Entries into the box per match1116
    Entries into the box against1614
    Pass completion %0.790.81
    Pass completion % under pressure0.740.77
    Passes per match357395
    Passes against per match400452
    Switches of play per match16.114.4
    Long balls per match3030
    Set piecesVästerås SKKalmar FF
    xG from free kicks0.080.12
    Corners per match4.25
    Corners against per match5.65.3
    xG per corner0.030.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.320.39
    First touch, defensive corners %0.650.6
    OtherVästerås SKKalmar FF
    Throw-in control0.570.6
    The goalkeepersElis Jäger (Västerås SK)Samuel Brolin (Kalmar FF)
    Saves5732
    Save %65%73%
    xG prevented42%50%
    Claims53 (82%)50 (88%)

    Frequently asked questions

    Who wins Västerås SK vs Kalmar FF according to our model?

    The model gives Kalmar FF a 38% win probability. Full 1X2 picture: Västerås SK 33%, draw 28%, Kalmar FF 38%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.