Swedish Ettan11°4,1 mm35 km/h

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    AFC MalmöAFC MalmöPossession & high press
    2–3
    ÄngelholmÄngelholmCounter-attacks & crosses
    The model's lean: 1 · AFC Malmö (58%)

    AFC Malmö vs Ängelholm · Swedish Ettan

    1 · AFC Malmö 58%X 21%21% Ängelholm · 2

    Prediction summary

    Final score 2–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for AFC Malmö vs Ängelholm (Swedish Ettan, Saturday, 24 October 2026): AFC Malmö win 58%, draw 21%, Ängelholm win 21%. Expected goals (xG): AFC Malmö 2.12, Ängelholm 1.30. Most likely score: 2-1 (10%). Over 2.5 goals 67%, both teams to score 64%. Double chance: AFC Malmö or draw 79%, Ängelholm or draw 42%. Prediction updated Friday, 16 October 2026.

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    Analysis: AFC Malmö – Ängelholm

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

    TEXT (corrected):

    Set against the backdrop of a possession-focused home side and a counter-attacking visitor, AFC Malmö and Ängelholm are primed for a clash where the hosts’ control should dictate the pace. Malmö’s high press often forces opponents into mistakes, and with a 58% win probability, they have clear leverage. The expected goals (xG) of 2.12 implies that Malmö will likely score more than once, while Ängelholm's xG of 1.30 suggests they might find the net too, even if less frequently.

    Malmö enters with confidence, supported by a stronger league position with 44 points compared to Ängelholm's 24. Despite the points gap, the underlying numbers tell a more nuanced story. Ängelholm has a slight edge in expected points (xPoints), showing they might have been unlucky this season. Nonetheless, Malmö’s better xG per match underscores their attacking potency, which should be enough to overwhelm Ängelholm, especially given the visitors' equal xGA of 1.5 per match.

    While the head-to-head record is too small to be decisive, the single prior meeting ended in a draw, indicating Ängelholm's ability to compete. Yet, with rain forecasted, expect more cautious play which typically suppresses goals. The odds, however, suggest otherwise — a 67% likelihood for over 2.5 goals, supported by attractive betting value.

    For those scanning for angles, the over 3.5 goals at 2.28 with Betsafe and Nordicbet holds value, albeit with a modest 2% edge. Meanwhile, the safer over 2.5 at 1.52 with Betsafe still offers a 1% edge. The model leans towards a 2-1 outcome in Malmö’s favor, with the weather slightly tempering the goal expectation. However, the potential for a high-scoring affair remains, especially with the betting value clearly highlighting an opportunity in the goal markets.

    AFC MalmöAFC Malmö
    Form WWWWL
    League ranking xG #8xGA #22xT #4xP/match #24Points #12
    Key players
    • Albin Sjöstrand BjurnemarkCBxG 0.05 · xT 0.11
    • Lucas LarsenCBxG 0.03 · xT 0.17
    • Vicente CastroRWxG 0.36 · xT 0.37
    ÄngelholmÄngelholm
    Form DLWWL
    League ranking xG #27xGA #20xT #18xP/match #18Points #28
    Key players
    • Vilgot CarlssonFxG 0.28 · xT 0.10
    • Anton NilssonLWxG 0.24 · xT 0.15
    • Mohammad AhmadiCBxG 0.07 · xT 0.12
    Final score
    2 – 3
    The model missed the outcome
    Predicted probabilities: AFC Malmö 58% · Draw 21% · Ängelholm 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 - Ängelholms FFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,24fair 11,94-14 %
    Hit
    Matchresultat - Ariana FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,59fair 4,45-19 %
    Miss

    Match prediction: AFC Malmö – Ängelholm

    Predicted score matrix

    Ängelholm →
    AFC Malmö →
    0
    1
    2
    3
    4+
    0
    0–03.5%
    0–14.0%
    0–22.8%
    0–31.2%
    0–4+0.5%
    1
    1–06.6%
    1–19.3%
    1–25.9%
    1–32.6%
    1–4+1.1%
    2
    2–07.3%
    2–19.5%
    2–26.2%
    2–32.7%
    2–4+1.2%
    3
    3–05.2%
    3–16.7%
    3–24.4%
    3–31.9%
    3–4+0.8%
    4+
    4+–04.5%
    4+–15.9%
    4+–23.8%
    4+–31.7%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-19%
    3. 3.2-07%
    4. 4.3-17%
    5. 5.1-07%
    Expected goals
    2,12–1,30
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,4
    Under 2,533%
    @2.68
    Over 2,567%
    @1.41

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • AFC Malmö to win58%
    • Over 1.5 goals86%

    Combined probability

    49%

    Fair odds

    2.04

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

    02 · 3 legs

    Balanced

    • AFC Malmö to win58%
    • Over 2.5 goals67%
    • Lukas Minter Wettergren to score29%

    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 score64%
    • Over 2.5 goals67%
    • Lukas Minter Wettergren to score29%
    • Benjamin Tannus 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

    Bookmaker1 · AFC MalmöX2 · Ängelholm
    Betsafe1.554.254.40
    LeoVegas1.574.104.30
    Nordicbet1.554.254.40

    Odds updated 24 Oct, 12:37

    Odds movement

    1-4 %
    60 %55 %

    1.62 → 1.55

    X+8 %
    25 %20 %

    3.95 → 4.25

    20 %
    23 %18 %

    4.40 → 4.40

    Nordicbet · 8 recorded price levels · 21/10/2026 → 24/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    AFC Malmö 0Draw 1Ängelholm 0
    Goals: 2–2 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    AFC Malmö
    Ängelholm
    When goals are scored and conceded — 2026
    AFC Malmö (50–39)
    Ängelholm (33–48)
    Pass networks

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

    AFC Malmö
    Albin Sjöstrand Bjurnemark: 240 passningar, xT 0.77BjurnemarkMahdi Fatahi: 229 passningar, xT 0.08FatahiBrwa Nouri: 227 passningar, xT 0.5NouriFredrik Martinsson: 224 passningar, xT 1.84MartinssonStefan Walid Karim: 216 passningar, xT 0.18KarimEren Alievski: 176 passningar, xT 0.55AlievskiMarkus Björkqvist: 138 passningar, xT 1.19BjörkqvistAnton Reuterskiöld: 119 passningar, xT 0.25ReuterskiöldLukas Minter Wettergren: 65 passningar, xT 0.19WettergrenFilip Bohman: 58 passningar, xT 0.05BohmanCihan Sener: 56 passningar, xT 0.13Sener
    Ängelholm
    Eric Vedholm: 156 passningar, xT 0.88VedholmBenjamin Tannus: 151 passningar, xT 1.18TannusMohammad Ahmadi: 133 passningar, xT 0.22AhmadiWilliam Sonntag: 124 passningar, xT -0.04SonntagOliver Stojanovic Fredin: 105 passningar, xT 1.73FredinAnton Nilsson: 99 passningar, xT 1.32NilssonArvid Wiklund: 97 passningar, xT 0.59WiklundMelvin Ahlqvist: 72 passningar, xT 0.13AhlqvistVilgot Carlsson: 59 passningar, xT 0.77CarlssonMarcly Tshikupe: 54 passningar, xT 0.19TshikupeRobin Streifert: 44 passningar, xT 0.27Streifert
    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.

    AFC Malmö
    Albin Sjöstrand Bjurnemark: 240 passningar, xT 0.77BjurnemarkMahdi Fatahi: 229 passningar, xT 0.08FatahiBrwa Nouri: 227 passningar, xT 0.5NouriFredrik Martinsson: 224 passningar, xT 1.84MartinssonStefan Walid Karim: 216 passningar, xT 0.18KarimEren Alievski: 176 passningar, xT 0.55AlievskiMarkus Björkqvist: 138 passningar, xT 1.19BjörkqvistAnton Reuterskiöld: 119 passningar, xT 0.25ReuterskiöldLukas Minter Wettergren: 65 passningar, xT 0.19WettergrenFilip Bohman: 58 passningar, xT 0.05BohmanCihan Sener: 56 passningar, xT 0.13Sener
    Ängelholm
    Eric Vedholm: 156 passningar, xT 0.88VedholmBenjamin Tannus: 151 passningar, xT 1.18TannusMohammad Ahmadi: 133 passningar, xT 0.22AhmadiWilliam Sonntag: 124 passningar, xT -0.04SonntagOliver Stojanovic Fredin: 105 passningar, xT 1.73FredinAnton Nilsson: 99 passningar, xT 1.32NilssonArvid Wiklund: 97 passningar, xT 0.59WiklundMelvin Ahlqvist: 72 passningar, xT 0.13AhlqvistVilgot Carlsson: 59 passningar, xT 0.77CarlssonMarcly Tshikupe: 54 passningar, xT 0.19TshikupeRobin Streifert: 44 passningar, xT 0.27Streifert

    The teams in numbers

    PerformanceAFC MalmöÄngelholm
    Points4424
    xPoints34.235.8
    xG per match1.61.2
    xGA per match1.51.5
    xG within 8s of winning the ball0.280.17
    xGA within 8s of losing the ball0.330.24
    Playing styleAFC MalmöÄngelholm
    Build-up efficiency0.370.35
    Field tilt0.540.47
    xT per match1.61.4
    xTA per match1.41.6
    Won balls, offensive half2930
    Pressing intensity0.50.5
    Pressing efficiency0.280.27
    Pressing efficiency, offensive half0.290.26
    Entries into the box per match1711
    Entries into the box against1315
    Pass completion %0.810.75
    Pass completion % under pressure0.750.7
    Passes per match405313
    Passes against per match352396
    Switches of play per match17.717.9
    Long balls per match3830
    Set piecesAFC MalmöÄngelholm
    xG from free kicks0.170.16
    Corners per match5.74.4
    Corners against per match4.94.6
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.590.26
    First touch, defensive corners %0.610.59
    OtherAFC MalmöÄngelholm
    Throw-in control0.60.5
    The goalkeepersPhilip Mårtensson (AFC Malmö)Robin Streifert (Ängelholm)
    Saves4185
    Save %70%66%
    xG prevented34%39%
    Claims69 (92%)196 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AFC Malmö vs Ängelholm according to our model?

    The model gives AFC Malmö a 58% win probability. Full 1X2 picture: AFC Malmö 58%, draw 21%, Ängelholm 21%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 67% and under at 33%.

    Will both teams score?

    The probability of both teams scoring is 64% according to the model.

    How many goals are expected in AFC Malmö vs Ängelholm?

    The model expects 2.12 goals (xG) for AFC Malmö and 1.30 for Ängelholm, 3.43 in total.

    What does the model say about double chance?

    AFC Malmö or draw (1X) 79%, Ängelholm or draw (X2) 42% and no draw (12) 79%.

    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.