Swedish Ettan14°3,3 mm11 km/h

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    FC TrollhättanFC TrollhättanPossession control
    vs
    Trelleborgs FFTrelleborgs FFCounter-attacks & crosses
    The model's lean: 2 · Trelleborgs FF (46%)Best value by the model: 1 · FC Trollhättan @ 4.10 (+19 %)

    FC TrollhättanTrelleborgs FF · Swedish Ettan

    1 · FC Trollhättan 29%X 25%46% Trelleborgs FF · 2

    Analysis: FC TrollhättanTrelleborgs FF

    Anna Karlsson · · A data-driven preview · How the predictions work

    The clash between FC Trollhättan and Trelleborgs FF presents a compelling narrative, driven by numbers and patterns, rather than merely the players on the pitch. Trelleborgs FF brings a significant advantage in both traditional and advanced metrics, leading the table with 36 points compared to Trollhättan's 19. Their prowess is equally reflected in the xPoints, where they command a 7.3-point advantage, indicating that their results aren't merely a product of luck but of sustained performance levels.

    Both teams exhibit distinct playing styles; FC Trollhättan’s possession-heavy approach contrasts with Trelleborgs FF’s preference for counterattacks and crosses. This stylistic clash could dictate the rhythm of the match, yet it’s Trelleborgs FF’s ability to execute their plan effectively that catches the eye. With an expected goals (xG) average of 1.7 per match against Trollhättan's 1.2, Trelleborgs FF demonstrates a more incisive edge in front of goal, which could prove crucial in breaking down their opponents' defensive organization.

    FC Trollhättan has managed a single draw in their brief head-to-head history against Trelleborgs FF, highlighting a limited sample that doesn’t carry significant weight against current form. When analyzing expected goals against (xGA), Trollhättan concedes 1.4 on average, while Trelleborgs FF holds a tighter ship at 1.0. This defensive solidity further underscores Trelleborgs FF's upper hand.

    Despite a 54% probability favoring over 2.5 goals and a 57% likelihood of both teams finding the net, the prevailing conditions — including the tactical matchup and potential weather impact — could nudge the final scoreline down. A 1-2 victory for Trelleborgs FF appears plausible, aligning with the model's lean and underlying statistics.

    For those seeking a sharper angle, Pinnacle offers value on Trelleborgs FF at 2.10 odds. While betting outcomes can never be guaranteed, the numbers suggest this is a price worth considering.

    FC TrollhättanFC Trollhättan
    Form LDWLW
    League ranking xG #24xGA #16xT #8xP/match #28Points #22
    Key players
    • Melwin BergRWxG 0.19 · xT 0.24
    • Hugo TillyFxG 0.47 · xT 0.02
    • Filip SternerLBxG 0.05 · xT 0.16
    Trelleborgs FFTrelleborgs FF
    Form WDDWL
    League ranking xG #5xGA #7xT #5xP/match #7Points #3
    Key players
    • Oskar RuuskaRWxG 0.34 · xT 0.33
    • Vincent PopplerFxG 0.43 · xT 0.04
    • Johan BrannefalkRBxG 0.03 · xT 0.52

    Match prediction: FC TrollhättanTrelleborgs FF

    Predicted score matrix

    Trelleborgs FF
    FC Trollhättan
    0
    1
    2
    3
    4+
    0
    0–06.3%
    0–18.9%
    0–27.1%
    0–33.7%
    0–4+2.0%
    1
    1–07.2%
    1–112.1%
    1–29.1%
    1–34.7%
    1–4+2.6%
    2
    2–04.8%
    2–17.5%
    2–25.8%
    2–33.0%
    2–4+1.6%
    3
    3–02.0%
    3–13.2%
    3–22.5%
    3–31.3%
    3–4+0.7%
    4+
    4+–00.9%
    4+–11.3%
    4+–21.0%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-17%
    5. 5.1-07%
    Expected goals
    1,271,55
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.18EV+1%
    Over 2,554%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Trelleborgs FF to win46%
    • Over 1.5 goals78%

    Combined probability

    35%

    Fair odds

    2.90

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

    02 · 3 legs

    Balanced

    • Trelleborgs FF to win46%
    • Over 2.5 goals54%
    • Kofi Fosuhene Asare to score26%

    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 goals54%
    • Kofi Fosuhene Asare to score26%
    • Oliver Ocampo Hägglund 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+).

    • 1 · FC Trollhättan29% probability@4.10BetsafeEV+19%reference odds
    • 1 · FC Trollhättan29% probability@4.10BetssonEV+19%reference odds
    • 1 · FC Trollhättan29% probability@4.10NordicbetEV+19%reference odds
    Bookmaker1 · FC TrollhättanX2 · Trelleborgs FF
    Betsafe
    EV+ 19%
    4.10
    3.801.68
    Betsson
    EV+ 19%
    4.10
    3.801.68
    Nordicbet
    EV+ 19%
    4.10
    3.801.68

    Odds updated 19 Aug, 00:36

    Odds movement

    1+5 %
    26 %16 %

    3.904.10

    X+6 %
    29 %19 %

    3.603.80

    2-4 %
    59 %49 %

    1.751.68

    Betsafe · 6 recorded price levels · 18/08/2026 → 19/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    FC Trollhättan 0Draw 1Trelleborgs FF 0
    Goals: 22 (⌀ 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).

    FC Trollhättan
    Trelleborgs FF
    When goals are scored and conceded 2026
    FC Trollhättan (2027)
    Trelleborgs FF (3818)
    Pass networks

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

    FC Trollhättan
    Nils Svensson: 416 passningar, xT 0.52SvenssonFilip Sterner: 311 passningar, xT 0.8SternerEmil Fasth: 294 passningar, xT 0.37FasthOliver Ocampo Hägglund: 203 passningar, xT 0.25HägglundWilliam Jensen: 197 passningar, xT 1.12JensenVilmer Johansson: 197 passningar, xT 1.1JohanssonMelwin Berg: 153 passningar, xT 0.51BergAlbin Gashi: 140 passningar, xT 0.36GashiJimmy Henriksson: 135 passningar, xT 0.14HenrikssonNatanael Lundén: 73 passningar, xT 0.1LundénDaniel Burubwa: 65 passningar, xT 0.27Burubwa
    Trelleborgs FF
    Jesper Modig: 271 passningar, xT 0.63ModigJohan Brannefalk: 217 passningar, xT 2.23BrannefalkOskar Sverrisson: 206 passningar, xT 0.28SverrissonOskar Ruuska: 125 passningar, xT 1.23RuuskaOskar Gabrielsson: 125 passningar, xT 0.28GabrielssonPrince Balde: 107 passningar, xT 0.25BaldeNiclas Bergmark: 95 passningar, xT 0.15BergmarkAmmar Asani: 89 passningar, xT 0.06AsaniJacob Christiansen: 88 passningar, xT 0.18ChristiansenMalte Påhlsson: 79 passningar, xT 0.36PåhlssonIsak Ellbring: 57 passningar, xT 0.12Ellbring
    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.

    FC Trollhättan
    Nils Svensson: 416 passningar, xT 0.52SvenssonFilip Sterner: 311 passningar, xT 0.8SternerEmil Fasth: 294 passningar, xT 0.37FasthOliver Ocampo Hägglund: 203 passningar, xT 0.25HägglundWilliam Jensen: 197 passningar, xT 1.12JensenVilmer Johansson: 197 passningar, xT 1.1JohanssonMelwin Berg: 153 passningar, xT 0.51BergAlbin Gashi: 140 passningar, xT 0.36GashiJimmy Henriksson: 135 passningar, xT 0.14HenrikssonNatanael Lundén: 73 passningar, xT 0.1LundénDaniel Burubwa: 65 passningar, xT 0.27Burubwa
    Trelleborgs FF
    Jesper Modig: 271 passningar, xT 0.63ModigJohan Brannefalk: 217 passningar, xT 2.23BrannefalkOskar Sverrisson: 206 passningar, xT 0.28SverrissonOskar Ruuska: 125 passningar, xT 1.23RuuskaOskar Gabrielsson: 125 passningar, xT 0.28GabrielssonPrince Balde: 107 passningar, xT 0.25BaldeNiclas Bergmark: 95 passningar, xT 0.15BergmarkAmmar Asani: 89 passningar, xT 0.06AsaniJacob Christiansen: 88 passningar, xT 0.18ChristiansenMalte Påhlsson: 79 passningar, xT 0.36PåhlssonIsak Ellbring: 57 passningar, xT 0.12Ellbring

    The teams in numbers

    PerformanceFC TrollhättanTrelleborgs FF
    Points1936
    xPoints19.927.2
    xG per match1.21.7
    xGA per match1.41
    xG within 8s of winning the ball0.220.46
    xGA within 8s of losing the ball0.230.12
    Playing styleFC TrollhättanTrelleborgs FF
    Build-up efficiency0.360.32
    Field tilt0.570.59
    xT per match1.51.5
    xTA per match1.41.2
    Won balls, offensive half3136
    Pressing intensity0.570.49
    Pressing efficiency0.310.34
    Pressing efficiency, offensive half0.330.35
    Entries into the box per match1415
    Entries into the box against1311
    Pass completion %0.820.76
    Pass completion % under pressure0.770.7
    Passes per match496344
    Passes against per match303285
    Switches of play per match13.517.5
    Long balls per match2431
    Set piecesFC TrollhättanTrelleborgs FF
    xG from free kicks0.130.17
    Corners per match4.75.1
    Corners against per match43.5
    xG per corner0.010.04
    xGA per corner against0.030.05
    First touch, offensive corners %0.330.41
    First touch, defensive corners %0.590.64
    OtherFC TrollhättanTrelleborgs FF
    Throw-in control0.590.48
    The goalkeepersJimmy Henriksson (FC Trollhättan)Malte Påhlsson (Trelleborgs FF)
    Saves3152
    Save %78%74%
    xG prevented53%40%
    Claims65 (92%)95 (92%)

    Frequently asked questions

    Who wins FC Trollhättan vs Trelleborgs FF according to our model?

    The model gives Trelleborgs FF a 46% win probability. Full 1X2 picture: FC Trollhättan 29%, draw 25%, Trelleborgs FF 46%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.