Swedish AllsvenskanEleda Stadion, Malmö10°0,2 mm28 km/h

    Läs på svenska
    Malmö FFMalmö FFPossession & high press
    vs
    Kalmar FFKalmar FFPossession control
    The model's lean: 1 · Malmö FF (51%)Best value by the model: 2 · Kalmar FF @ 4.49 (+12 %)

    Malmö FF vs Kalmar FF · Swedish Allsvenskan

    1 · Malmö FF 51%X 24%25% Kalmar FF · 2

    Prediction summary

    BetBuilders AI model prediction for Malmö FF vs Kalmar FF (Swedish Allsvenskan, Monday, 12 October 2026): Malmö FF win 51%, draw 24%, Kalmar FF win 25%. Expected goals (xG): Malmö FF 1.80, Kalmar FF 1.18. Most likely score: 1-1 (11%). Over 2.5 goals 57%, both teams to score 58%. Double chance: Malmö FF or draw 75%, Kalmar FF or draw 49%. Prediction updated Monday, 5 October 2026.

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Malmö FF – Kalmar FF

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    TEXT: The head-to-head record between Malmö FF and Kalmar FF offers a glimpse into a historically competitive fixture. While Malmö holds a slight edge with two wins to Kalmar's one in their last five encounters, the sample size is too small to provide a definitive guide. Instead, the recent form of both teams might shed more light: Kalmar FF is struggling, having lost their last four matches, whereas Malmö is more consistent at home, winning 62% of their matches historically.

    Delving into the numbers, Malmö's attack generates 1.80 expected goals compared to Kalmar's 1.18, suggesting the hosts should find the net. Despite Malmö's expected edge in possession and pressing, Kalmar has a knack for controlling the ball and making the most of it shortly after regaining possession. This could be critical, especially given Malmö's more aggressive style which might leave them vulnerable to counterattacks. The xG within 8 seconds figure gives a slight edge to Kalmar, hinting they can capitalize on quick transitions.

    The model's probabilities put Malmö FF as favorites at 51%, with a draw at 24% and Kalmar at 25%. The most likely scorelines reflect a closely contested match, with 1-1 leading the probabilities at 11%, followed by 2-1 to Malmö at 10%. This aligns well with the historical average of 3.0 goals per meeting, pushing the probability for over 2.5 goals above 57%. Both teams to score sits just above that, at 58%, suggesting a competitive game likely to feature goals from both sides.

    The real intrigue lies in the market odds. The away win for Kalmar FF at odds of 4.28 with Betsafe and Nordicbet, or 4.2 with LeoVegas, presents value. The model rates Kalmar's chances at 25%, creating a 5% to 7% edge in betting terms. While Malmö holds the upper hand in form and expectations, the odds suggest Kalmar might not be as far behind as their league position and recent form indicate.

    Malmö FFMalmö FF
    Form LWDWL
    League ranking xG #7xGA #6xT #10xP/match #10Points #7
    Key players
    • Erik BotheimFxG 0.48 · xT -0.03
    • Otto RosengrenCDMxG 0.14 · xT 0.14
    • Gabriel Dal Toe BusanelloLBxG 0.05 · xT 0.36
    Kalmar FFKalmar FF
    Form DLLLL
    League ranking xG #10xGA #8xT #5xP/match #8Points #13
    Key players
    • Anthony OlusanyaFxG 0.37 · xT -0.03
    • Charles Sagoe JrLWxG 0.17 · xT 0.27
    • Marius SöderbäckFxG 0.16 · xT 0.14

    Match prediction: Malmö FF – Kalmar FF

    Predicted score matrix

    Kalmar FF →
    Malmö FF →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–15.7%
    0–23.5%
    0–31.4%
    0–4+0.5%
    1
    1–08.8%
    1–111.1%
    1–26.4%
    1–32.5%
    1–4+1.0%
    2
    2–08.2%
    2–19.7%
    2–25.7%
    2–32.3%
    2–4+0.9%
    3
    3–04.9%
    3–15.8%
    3–23.4%
    3–31.4%
    3–4+0.5%
    4+
    4+–03.3%
    4+–13.9%
    4+–22.3%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,80–1,18
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.06
    Over 2,557%
    @1.78EV+2%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Malmö FF to win51%
    • Over 1.5 goals80%

    Combined probability

    43%

    Fair odds

    2.34

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

    02 · 3 legs

    Balanced

    • Malmö FF to win51%
    • Over 2.5 goals57%
    • Erik Botheim to score25%

    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 score58%
    • Over 2.5 goals57%
    • Erik Botheim to score25%
    • Robert Gojani to be booked23%

    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 · Kalmar FF25% probability@4.49BetsafeEV+12%reference odds
    • 2 · Kalmar FF25% probability@4.49NordicbetEV+12%reference odds
    • 2 · Kalmar FF25% probability@4.20LeoVegasEV+5%reference odds
    Bookmaker1 · Malmö FFX2 · Kalmar FF
    Betsafe1.803.67
    EV+ 12%
    4.49
    LeoVegas1.833.85
    EV+ 5%
    4.20
    Nordicbet1.803.67
    EV+ 12%
    4.49
    Pinnacle1.763.98
    EV+ 2%
    4.10

    Odds updated 11 Oct, 08:16

    Statistics

    Head-to-head

    5 matches
    Malmö FF 2Draw 2Kalmar FF 1
    Goals: 10–5 (⌀ 3)

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

    Key facts

    • Malmö FF dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    • Kalmar FF have lost 4 in a row.
    • Malmö FF win 62% of their home matches all-time (56 played).
    xG & xGA per match — 3-game rolling average

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

    Malmö FF
    Kalmar FF
    When goals are scored and conceded — 2026
    Malmö FF (37–33)
    Kalmar FF (21–36)
    Pass networks

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

    Malmö FF
    Gabriel Dal Toe Busanello: 292 passningar, xT 2BusanelloStian Rode Gregersen: 282 passningar, xT 0.3GregersenAndrej Đurić: 279 passningar, xT 0.2ĐurićJens Stryger Larsen: 244 passningar, xT 0.64LarsenAdrian Skogmar: 230 passningar, xT 0.13SkogmarSead Haksabanovic: 174 passningar, xT 0.69HaksabanovicMalte Frejd Pålsson: 172 passningar, xT 0.17PålssonOtto Rosengren: 169 passningar, xT 0.48RosengrenTheodor Lundbergh: 133 passningar, xT 1.01LundberghRobin Olsen: 88 passningar, xT 0.16OlsenAnton Höög: 83 passningar, xT 0.11Höög
    Kalmar FF
    Victor Larsson: 226 passningar, xT 0.85LarssonAlexander Almqvist: 185 passningar, xT 0.12AlmqvistJesper Löfgren: 172 passningar, xT 0.24LöfgrenAboubacar Keita: 156 passningar, xT 0.23KeitaRobert Gojani: 156 passningar, xT 0.56GojaniMiska Ylitolva: 145 passningar, xT 0.23YlitolvaCharles Sagoe Jr: 141 passningar, xT 1.55JrCarl Gustafsson: 137 passningar, xT 0.68GustafssonMelker Hallberg: 130 passningar, xT 1.07HallbergLars Sætra: 128 passningar, xT 0.13SætraSamuel Brolin: 112 passningar, xT 0.24Brolin
    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.

    Malmö FF
    Gabriel Dal Toe Busanello: 292 passningar, xT 2BusanelloStian Rode Gregersen: 282 passningar, xT 0.3GregersenAndrej Đurić: 279 passningar, xT 0.2ĐurićJens Stryger Larsen: 244 passningar, xT 0.64LarsenAdrian Skogmar: 230 passningar, xT 0.13SkogmarSead Haksabanovic: 174 passningar, xT 0.69HaksabanovicMalte Frejd Pålsson: 172 passningar, xT 0.17PålssonOtto Rosengren: 169 passningar, xT 0.48RosengrenTheodor Lundbergh: 133 passningar, xT 1.01LundberghRobin Olsen: 88 passningar, xT 0.16OlsenAnton Höög: 83 passningar, xT 0.11Höög
    Kalmar FF
    Victor Larsson: 226 passningar, xT 0.85LarssonAlexander Almqvist: 185 passningar, xT 0.12AlmqvistJesper Löfgren: 172 passningar, xT 0.24LöfgrenAboubacar Keita: 156 passningar, xT 0.23KeitaRobert Gojani: 156 passningar, xT 0.56GojaniMiska Ylitolva: 145 passningar, xT 0.23YlitolvaCharles Sagoe Jr: 141 passningar, xT 1.55JrCarl Gustafsson: 137 passningar, xT 0.68GustafssonMelker Hallberg: 130 passningar, xT 1.07HallbergLars Sætra: 128 passningar, xT 0.13SætraSamuel Brolin: 112 passningar, xT 0.24Brolin

    The teams in numbers

    PerformanceMalmö FFKalmar FF
    Points3319
    xPoints2929.8
    xG per match1.51.2
    xGA per match1.31.3
    xG within 8s of winning the ball0.230.24
    xGA within 8s of losing the ball0.230.2
    Playing styleMalmö FFKalmar FF
    Build-up efficiency0.350.31
    Field tilt0.610.49
    xT per match1.41.5
    xTA per match1.31.2
    Won balls, offensive half2831
    Pressing intensity0.480.52
    Pressing efficiency0.250.22
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1815
    Entries into the box against1414
    Pass completion %0.840.82
    Pass completion % under pressure0.810.77
    Passes per match467404
    Passes against per match332446
    Switches of play per match1413.8
    Long balls per match3530
    Set piecesMalmö FFKalmar FF
    xG from free kicks0.260.1
    Corners per match4.84.9
    Corners against per match5.35.5
    xG per corner0.040.02
    xGA per corner against0.030.02
    First touch, offensive corners %0.60.39
    First touch, defensive corners %0.510.61
    OtherMalmö FFKalmar FF
    Throw-in control0.60.63
    The goalkeepersRobin Olsen (Malmö FF)Samuel Brolin (Kalmar FF)
    Saves4354
    Save %74%69%
    xG prevented54%49%
    Claims62 (90%)82 (88%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Malmö FF vs Kalmar FF according to our model?

    The model gives Malmö FF a 51% win probability. Full 1X2 picture: Malmö FF 51%, draw 24%, Kalmar FF 25%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in Malmö FF vs Kalmar FF?

    The model expects 1.80 goals (xG) for Malmö FF and 1.18 for Kalmar FF, 2.98 in total.

    What does the model say about double chance?

    Malmö FF or draw (1X) 75%, Kalmar FF or draw (X2) 49% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.