Swedish Ettan14°27 km/h

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    Trelleborgs FFTrelleborgs FFPossession & high press
    vs
    ÄngelholmÄngelholmLow block & direct
    The model's lean: 1 · Trelleborgs FF (67%)Best value by the model: 2 · Ängelholm @ 7.40 (+7 %)

    Trelleborgs FF vs Ängelholm · Swedish Ettan

    1 · Trelleborgs FF 67%X 19%15% Ängelholm · 2

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    Analysis: Trelleborgs FF – Ängelholm

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

    Three wins on the bounce and nine consecutive league matches with goals highlight Trelleborgs FF's potency ahead of their clash against Ängelholm. This run of form is not just a coincidence; it's a testament to the efficiency of their possession and high pressing game. The stark contrast between the hosts' attacking prowess and Ängelholm's low defensive setup is the defining narrative of this matchup.

    With a 67% probability of a Trelleborgs victory, the model clearly leans toward a home win. Despite only having a single head-to-head encounter since 2023, which Trelleborgs won, it's their current form that holds more weight. The expected goals tell a similar story: Trelleborgs boast 2.27 compared to Ängelholm’s 1.04, illustrating a significant advantage in front of goal. Even xPoints and xG metrics favor the home side, suggesting that their league position is no fluke.

    The most probable scorelines hover around Trelleborgs securing a 2-1 or 2-0 victory, each with a 9-10% likelihood. The over 2.5 goals market stands at 64%, pointing to a reasonably high-scoring affair, although more likely driven by Trelleborgs' imperious form rather than a back-and-forth contest. Ängelholm's direct, low-block approach hints that their best chance lies in counter-attacks, but with Trelleborgs' defensive xGA of 1.1, opportunities may be scarce.

    Considering the form, statistical edge, and style of play, a 2-1 Trelleborgs win emerges as the most logical outcome. The presence of goals from both sides at 58% leans towards a slight risk of Ängelholm finding the net, but with Trelleborgs likely dominating proceedings, the home side is poised for a controlled, if not spectacular, victory.

    From a betting perspective, backing Trelleborgs to win at any odds above 1.50 could be seen as value, given the model's lean and Ängelholm's struggle with just 18 points this season.

    Trelleborgs FFTrelleborgs FF
    Form WLWWW
    League ranking xG #5xGA #8xT #8xP/match #7Points #2
    Key players
    • Johan BrannefalkRWxG 0.03 · xT 0.51
    • Oskar RuuskaRWxG 0.29 · xT 0.30
    • Kofi Fosuhene AsareFxG 0.27 · xT 0.04
    ÄngelholmÄngelholm
    Form LLLLD
    League ranking xG #24xGA #20xT #20xP/match #19Points #28
    Key players
    • Vilgot CarlssonFxG 0.29 · xT 0.10
    • Oliver Stojanovic FredinFxG 0.15 · xT 0.53
    • Anton NilssonLWxG 0.23 · xT 0.10

    Match prediction: Trelleborgs FF – Ängelholm

    Predicted score matrix

    Ängelholm →
    Trelleborgs FF →
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–13.6%
    0–22.0%
    0–30.7%
    0–4+0.2%
    1
    1–08.1%
    1–18.9%
    1–24.5%
    1–31.5%
    1–4+0.5%
    2
    2–09.4%
    2–19.8%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–07.1%
    3–17.4%
    3–23.8%
    3–31.3%
    3–4+0.4%
    4+
    4+–06.9%
    4+–17.1%
    4+–23.7%
    4+–31.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-09%
    3. 3.1-19%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,27–1,04
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.28
    Over 2,564%
    @1.55

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Trelleborgs FF to win67%
    • Over 1.5 goals84%

    Combined probability

    57%

    Fair odds

    1.77

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

    02 · 3 legs

    Balanced

    • Trelleborgs FF to win67%
    • Over 2.5 goals64%
    • Vincent Poppler to score32%

    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 goals64%
    • Vincent Poppler to score32%
    • Mohammad Ahmadi 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+).

    • 2 · Ängelholm15% probability@7.40BetsafeEV+7%reference odds
    • 2 · Ängelholm15% probability@7.40BetssonEV+7%reference odds
    • 2 · Ängelholm15% probability@7.40NordicbetEV+7%reference odds
    Bookmaker1 · Trelleborgs FFX2 · Ängelholm
    Betsafe1.304.95
    EV+ 7%
    7.40
    Betsson1.304.95
    EV+ 7%
    7.40
    Nordicbet1.304.95
    EV+ 7%
    7.40

    Odds updated 24 Sept, 08:35

    Odds movement

    Market signal

    The market has moved clearly towards a Trelleborgs FF win since 22 September — the odds have shortened from 1.39 to 1.30 (−6%).

    1-6 %
    70 %65 %

    1.39 → 1.30

    X+10 %
    22 %17 %

    4.50 → 4.95

    2+17 %
    16 %11 %

    6.30 → 7.40

    Betsson · 5 recorded price levels · 22/09/2026 → 24/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Trelleborgs FF 1Draw 0Ängelholm 0
    Goals: 5–1 (⌀ 6)

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

    Key facts

    • Trelleborgs FF come into this round on 3 straight wins.
    • Trelleborgs FF have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Trelleborgs FF
    Ängelholm
    When goals are scored and conceded — 2026
    Trelleborgs FF (49–27)
    Ängelholm (27–43)
    Pass networks

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

    Trelleborgs FF
    Bjarni Mark Antonsson: 257 passningar, xT 0.53AntonssonJesper Modig: 253 passningar, xT 0.52ModigAmmar Asani: 185 passningar, xT 0.11AsaniOskar Sverrisson: 182 passningar, xT 0.63SverrissonJacob Christiansen: 178 passningar, xT 0.91ChristiansenNiclas Bergmark: 114 passningar, xT -0.04BergmarkJohan Brannefalk: 105 passningar, xT 1.03BrannefalkAbbe Rehn: 97 passningar, xT 1RehnIsak Ellbring: 93 passningar, xT 0.01EllbringOskar Ruuska: 91 passningar, xT 0.69RuuskaEmil Orheim Jaf: 56 passningar, xT 0.06Jaf
    Ängelholm
    Eric Vedholm: 271 passningar, xT 0.75VedholmMohammad Ahmadi: 247 passningar, xT 0.46AhmadiOliver Stojanovic Fredin: 172 passningar, xT 2.29FredinBenjamin Tannus: 160 passningar, xT 0.35TannusArvid Wiklund: 160 passningar, xT 0.61WiklundVilgot Carlsson: 124 passningar, xT 0.34CarlssonJacob Svensson: 107 passningar, xT 0.34SvenssonAnton Nilsson: 89 passningar, xT -0.04NilssonRobin Streifert: 67 passningar, xT 0.19StreifertWilliam Sonntag: 62 passningar, xT 0.1SonntagMelvin Ahlqvist: 56 passningar, xT 0.22Ahlqvist
    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.

    Trelleborgs FF
    Bjarni Mark Antonsson: 257 passningar, xT 0.53AntonssonJesper Modig: 253 passningar, xT 0.52ModigAmmar Asani: 185 passningar, xT 0.11AsaniOskar Sverrisson: 182 passningar, xT 0.63SverrissonJacob Christiansen: 178 passningar, xT 0.91ChristiansenNiclas Bergmark: 114 passningar, xT -0.04BergmarkJohan Brannefalk: 105 passningar, xT 1.03BrannefalkAbbe Rehn: 97 passningar, xT 1RehnIsak Ellbring: 93 passningar, xT 0.01EllbringOskar Ruuska: 91 passningar, xT 0.69RuuskaEmil Orheim Jaf: 56 passningar, xT 0.06Jaf
    Ängelholm
    Eric Vedholm: 271 passningar, xT 0.75VedholmMohammad Ahmadi: 247 passningar, xT 0.46AhmadiOliver Stojanovic Fredin: 172 passningar, xT 2.29FredinBenjamin Tannus: 160 passningar, xT 0.35TannusArvid Wiklund: 160 passningar, xT 0.61WiklundVilgot Carlsson: 124 passningar, xT 0.34CarlssonJacob Svensson: 107 passningar, xT 0.34SvenssonAnton Nilsson: 89 passningar, xT -0.04NilssonRobin Streifert: 67 passningar, xT 0.19StreifertWilliam Sonntag: 62 passningar, xT 0.1SonntagMelvin Ahlqvist: 56 passningar, xT 0.22Ahlqvist

    The teams in numbers

    PerformanceTrelleborgs FFÄngelholm
    Points4818
    xPoints34.930.8
    xG per match1.61.2
    xGA per match1.11.5
    xG within 8s of winning the ball0.370.19
    xGA within 8s of losing the ball0.110.23
    Playing styleTrelleborgs FFÄngelholm
    Build-up efficiency0.320.35
    Field tilt0.60.48
    xT per match1.51.3
    xTA per match1.21.5
    Won balls, offensive half3729
    Pressing intensity0.560.48
    Pressing efficiency0.320.27
    Pressing efficiency, offensive half0.330.26
    Entries into the box per match1411
    Entries into the box against1115
    Pass completion %0.760.76
    Pass completion % under pressure0.710.71
    Passes per match350324
    Passes against per match297387
    Switches of play per match16.417.6
    Long balls per match3130
    Set piecesTrelleborgs FFÄngelholm
    xG from free kicks0.170.14
    Corners per match5.34.3
    Corners against per match3.94.3
    xG per corner0.040.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.370.22
    First touch, defensive corners %0.680.57
    OtherTrelleborgs FFÄngelholm
    Throw-in control0.490.51
    The goalkeepersMalte Påhlsson (Trelleborgs FF)Robin Streifert (Ängelholm)
    Saves6566
    Save %72%64%
    xG prevented38%38%
    Claims132 (93%)157 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Trelleborgs FF vs Ängelholm according to our model?

    The model gives Trelleborgs FF a 67% win probability. Full 1X2 picture: Trelleborgs FF 67%, draw 19%, Ängelholm 15%.

    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 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.