Swedish Ettan9°27 km/h

    Läs på svenska
    Jönköpings SödraJönköpings SödraPossession & high press
    2–1
    AFC MalmöAFC MalmöPossession & high press
    The model's lean: 1 · Jönköpings Södra (55%)

    Jönköpings Södra vs AFC Malmö · Swedish Ettan

    1 · Jönköpings Södra 55%X 24%21% AFC Malmö · 2

    Prediction summary

    Final score 2–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Jönköpings Södra vs AFC Malmö (Swedish Ettan, Saturday, 17 October 2026): Jönköpings Södra win 55%, draw 24%, AFC Malmö win 21%. Expected goals (xG): Jönköpings Södra 1.93, AFC Malmö 1.07. Most likely score: 1-1 (11%). Over 2.5 goals 58%, both teams to score 57%. Double chance: Jönköpings Södra or draw 79%, AFC Malmö or draw 45%. Prediction updated Friday, 9 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: Jönköpings Södra – AFC Malmö

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

    A puzzling tension surrounds the Jönköpings Södra vs. AFC Malmö matchup, as the hosts' recent struggles contrast sharply with their statistical edge. The model gives Jönköping a 55% chance of victory, yet they limp into this clash on a three-game losing streak. In contrast, Malmö's four consecutive wins make the visitors appear to be the form team. Despite this, the expected goals (xG) of 1.93 for the hosts suggests they might finally translate possession-heavy play into tangible results.

    While Jönköping's recent form raises eyebrows, their underlying numbers paint a more hopeful picture. They lead in xPoints with 35.5 against Malmö's 33.6, hinting that their performances have been better than outcomes suggest. The home side also boasts a stronger defensive xGA at 0.92 compared to Malmö's 1.5. Though small, the one-game head-to-head result does show a Malmö win, yet this single match is less telling than the broader trends.

    Further complicating the narrative is both teams' affinity for possession and high pressing, which could lead to a tightly contested battle for control. With the model predicting a 58% probability of over 2.5 goals and a 57% chance of both teams finding the net, a 2-1 home victory seems plausible. This aligns with the historical 60% home win rate for Jönköping across 43 matches.

    From a betting perspective, the numbers reveal intriguing value propositions. Betsafe and Nordicbet offer odds of 1.95 for a home win, translating to an 8% edge per the model's 55% prediction for Jönköping. Additionally, Betsafe offers over 2.5 goals at 1.75, providing a modest 1% edge. These odds suggest that despite recent form, backing the hosts and the over could be shrewd plays in a match where the market may have underappreciated Jönköping's true strengths.

    Jönköpings SödraJönköpings Södra
    Form WWLLL
    League ranking xG #27xGA #4xT #16xP/match #17Points #18
    Key players
    • Arvid ErikssonRBxG 0.09 · xT 0.17
    • Olle AlmströmLBxG 0.04 · xT 0.24
    • Sebastian CronaCBxG 0.05 · xT 0.12
    AFC MalmöAFC Malmö
    Form LWWWW
    League ranking xG #7xGA #23xT #3xP/match #22Points #11
    Key players
    • Albin Sjöstrand BjurnemarkCBxG 0.05 · xT 0.10
    • Lucas LarsenCBxG 0.03 · xT 0.17
    • Vicente CastroRWxG 0.36 · xT 0.37
    Final score
    2 – 1
    The model called the outcome
    Predicted probabilities: Jönköpings Södra 55% · Draw 24% · AFC Malmö 21%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Jönköpings SödraBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,50fair 5,55+17 %
    Miss
    Matchresultat - Ariana FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,57fair 17,85-46 %
    Miss

    Match prediction: Jönköpings Södra – AFC Malmö

    Predicted score matrix

    AFC Malmö →
    Jönköpings Södra →
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–15.0%
    0–22.9%
    0–31.0%
    0–4+0.3%
    1
    1–09.3%
    1–110.6%
    1–25.5%
    1–32.0%
    1–4+0.7%
    2
    2–09.2%
    2–19.9%
    2–25.3%
    2–31.9%
    2–4+0.6%
    3
    3–05.9%
    3–16.4%
    3–23.4%
    3–31.2%
    3–4+0.4%
    4+
    4+–04.4%
    4+–14.8%
    4+–22.6%
    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. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,93–1,07
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @1.92
    Over 2,558%
    @1.78EV+3%

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Jönköpings Södra to win55%
    • Over 1.5 goals80%

    Combined probability

    48%

    Fair odds

    2.10

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

    02 · 3 legs

    Balanced

    • Jönköpings Södra to win55%
    • Over 2.5 goals58%
    • Linus Lyck to score35%

    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 goals58%
    • Linus Lyck to score35%
    • Arvid Eriksson 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+).

    • 1 · Jönköpings Södra55% probability@2.12BetsafeEV+17%reference odds
    • 1 · Jönköpings Södra55% probability@2.12NordicbetEV+17%reference odds
    • 1 · Jönköpings Södra55% probability@2.10LeoVegasEV+16%reference odds
    Bookmaker1 · Jönköpings SödraX2 · AFC Malmö
    Betsafe
    EV+ 17%
    2.12
    3.203.15
    LeoVegas
    EV+ 16%
    2.10
    3.203.10
    Nordicbet
    EV+ 17%
    2.12
    3.203.15

    Odds updated 17 Oct, 09:37

    Odds movement

    10 %
    50 %40 %

    2.12 → 2.12

    X-6 %
    32 %22 %

    3.40 → 3.20

    2+7 %
    33 %23 %

    2.95 → 3.15

    Nordicbet · 9 recorded price levels · 13/10/2026 → 17/10/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    Jönköpings Södra 0Draw 0AFC Malmö 1
    Goals: 0–1 (⌀ 1)

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

    Key facts

    • Jönköpings Södra IF have lost 3 in a row.
    • Ariana FC Malmö come into this round on 4 straight wins.
    • Jönköpings Södra IF win 60% of their home matches all-time (43 played).
    xG & xGA per match — 3-game rolling average

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

    Jönköpings Södra
    AFC Malmö
    When goals are scored and conceded — 2026
    Jönköpings Södra (29–27)
    AFC Malmö (49–37)
    Pass networks

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

    Jönköpings Södra
    Arvid Eriksson: 201 passningar, xT 0.42ErikssonOlle Almström: 196 passningar, xT 0.99AlmströmLukas Eek: 193 passningar, xT 0.51EekDzenis Kozica: 189 passningar, xT 1.54KozicaHugo Lyck: 187 passningar, xT 0.82LyckSebastian Crona: 184 passningar, xT 0.16CronaJonathan Drott: 176 passningar, xT 0.45DrottChristoffer Hellström: 131 passningar, xT 0.35HellströmAnmar Kiwarkis: 107 passningar, xT 0.4KiwarkisLinus Lyck: 73 passningar, xT 0.24LyckAlexander Eriksson: 62 passningar, xT 0.33Eriksson
    AFC Malmö
    Brwa Nouri: 253 passningar, xT 0.57NouriFredrik Martinsson: 236 passningar, xT 2.18MartinssonAlbin Sjöstrand Bjurnemark: 227 passningar, xT 0.72BjurnemarkMahdi Fatahi: 221 passningar, xT -0.05FatahiEren Alievski: 196 passningar, xT 0.67AlievskiStefan Walid Karim: 170 passningar, xT 0.1KarimMarkus Björkqvist: 147 passningar, xT 1.18BjörkqvistAnton Reuterskiöld: 120 passningar, xT 0.29ReuterskiöldLucas Larsen: 55 passningar, xT 0.11LarsenKevin Harletun: 54 passningar, xT -0.1HarletunFilip Bohman: 50 passningar, xT -0.13Bohman
    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.

    Jönköpings Södra
    Arvid Eriksson: 201 passningar, xT 0.42ErikssonOlle Almström: 196 passningar, xT 0.99AlmströmLukas Eek: 193 passningar, xT 0.51EekDzenis Kozica: 189 passningar, xT 1.54KozicaHugo Lyck: 187 passningar, xT 0.82LyckSebastian Crona: 184 passningar, xT 0.16CronaJonathan Drott: 176 passningar, xT 0.45DrottChristoffer Hellström: 131 passningar, xT 0.35HellströmAnmar Kiwarkis: 107 passningar, xT 0.4KiwarkisLinus Lyck: 73 passningar, xT 0.24LyckAlexander Eriksson: 62 passningar, xT 0.33Eriksson
    AFC Malmö
    Brwa Nouri: 253 passningar, xT 0.57NouriFredrik Martinsson: 236 passningar, xT 2.18MartinssonAlbin Sjöstrand Bjurnemark: 227 passningar, xT 0.72BjurnemarkMahdi Fatahi: 221 passningar, xT -0.05FatahiEren Alievski: 196 passningar, xT 0.67AlievskiStefan Walid Karim: 170 passningar, xT 0.1KarimMarkus Björkqvist: 147 passningar, xT 1.18BjörkqvistAnton Reuterskiöld: 120 passningar, xT 0.29ReuterskiöldLucas Larsen: 55 passningar, xT 0.11LarsenKevin Harletun: 54 passningar, xT -0.1HarletunFilip Bohman: 50 passningar, xT -0.13Bohman

    The teams in numbers

    PerformanceJönköpings SödraAFC Malmö
    Points3344
    xPoints35.533.6
    xG per match1.21.6
    xGA per match0.921.5
    xG within 8s of winning the ball0.220.28
    xGA within 8s of losing the ball0.160.33
    Playing styleJönköpings SödraAFC Malmö
    Build-up efficiency0.330.37
    Field tilt0.630.55
    xT per match1.41.6
    xTA per match1.21.4
    Won balls, offensive half3429
    Pressing intensity0.50.49
    Pressing efficiency0.310.28
    Pressing efficiency, offensive half0.330.29
    Entries into the box per match1517
    Entries into the box against913
    Pass completion %0.780.81
    Pass completion % under pressure0.730.75
    Passes per match359405
    Passes against per match284356
    Switches of play per match16.317.3
    Long balls per match2938
    Set piecesJönköpings SödraAFC Malmö
    xG from free kicks0.10.17
    Corners per match5.65.7
    Corners against per match3.55
    xG per corner0.030.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.410.6
    First touch, defensive corners %0.630.61
    OtherJönköpings SödraAFC Malmö
    Throw-in control0.520.6
    The goalkeepersAlexander Eriksson (Jönköpings Södra)Philip Mårtensson (AFC Malmö)
    Saves6041
    Save %69%70%
    xG prevented50%34%
    Claims155 (91%)69 (92%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Jönköpings Södra vs AFC Malmö according to our model?

    The model gives Jönköpings Södra a 55% win probability. Full 1X2 picture: Jönköpings Södra 55%, draw 24%, AFC Malmö 21%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 57% according to the model.

    How many goals are expected in Jönköpings Södra vs AFC Malmö?

    The model expects 1.93 goals (xG) for Jönköpings Södra and 1.07 for AFC Malmö, 3.00 in total.

    What does the model say about double chance?

    Jönköpings Södra or draw (1X) 79%, AFC Malmö or draw (X2) 45% 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.