Swedish Ettan16°24 km/h

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    OlympicOlympicCounter-attacks & crosses
    vs
    TvååkerTvååkerCounter-attacks & crosses
    The model's lean: 1 · Olympic (52%)

    OlympicTvååker · Swedish Ettan

    1 · Olympic 52%X 24%24% Tvååker · 2

    Analysis: OlympicTvååker

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Five matches, two wins for Tvååkers IF, and just one for BK Olympic — on the surface, this head-to-head paints a picture of dominance. But dig deeper into the form book and expected goals, and it's BK Olympic who emerge with the sharper edge. They boast an expected goals average of 1.4 per match against Tvååkers IF's 1.1, and their defensive metrics are just as compelling, conceding 1.5 xGA per match to Tvååkers IF’s 1.7. The model gives BK Olympic a 52% chance of victory, a nod to their underlying data rather than past meetings.

    TVååkers IF might feel buoyed by their consistent goal-scoring streak, having found the net in 13 consecutive league affairs. This consistency is a marker of their threat, yet it coincides with a defensive frailty evident in their xGA numbers. Meanwhile, BK Olympic’s counter-attacking prowess, coupled with their crossing strategy, could exploit these defensive lapses, especially at home where they’re statistically more robust.

    BK Olympic, with their 23 points, sit slightly behind Tvååkers IF's 25. Yet, the xPoints tell a different story: 22.6 for BK Olympic versus 20.4 for Tvååkers IF suggests that BK Olympic might have been unlucky not to have garnered more reward for their performances. Factor in the rainy conditions expected, and we might see a more cagey affair, though the 64% chance of over 2.5 goals and both teams to score suggest a willingness to attack despite the weather.

    The model's favourite scorelines include a 1-1 (10%) and a 2-1 (9%), with a clean 2-0 (7%) also in the mix. Given the probabilities, a 2-1 victory for BK Olympic seems the likeliest outcome, especially with EV+ value on the home win at odds of 2.02 across Betsafe, Betsson, and Nordicbet. This suggests an enticing 6% edge for punters backing the home side. A more conservative lean would see the over 2.5 goals market as a tempting avenue, though the rain could temper that enthusiasm slightly.

    OlympicOlympic
    Form WWWLD
    League ranking xG #13xGA #23xT #17xP/match #19Points #17
    Key players
    • Albin SundgrenLWxG 0.05 · xT 0.30
    • Chibueze Blessing EjimoleFxG 0.47 · xT 0.06
    • Osama KhattabLWxG 0.44 · xT 0.23
    TvååkerTvååker
    Form WLDLW
    League ranking xG #28xGA #27xT #13xP/match #25Points #14
    Key players
    • Mergim LaciFxG 0.40 · xT 0.10
    • Victor KarlssonLWxG 0.07 · xT 0.44
    • Ishak ShamounFxG 0.17 · xT 0.02

    Match prediction: OlympicTvååker

    Predicted score matrix

    Tvååker
    Olympic
    0
    1
    2
    3
    4+
    0
    0–04.0%
    0–14.7%
    0–23.3%
    0–31.5%
    0–4+0.7%
    1
    1–06.9%
    1–110.0%
    1–26.5%
    1–32.9%
    1–4+1.3%
    2
    2–07.1%
    2–19.5%
    2–26.4%
    2–32.8%
    2–4+1.3%
    3
    3–04.6%
    3–16.2%
    3–24.2%
    3–31.9%
    3–4+0.8%
    4+
    4+–03.5%
    4+–14.7%
    4+–23.2%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.2-07%
    4. 4.1-07%
    5. 5.1-27%
    Expected goals
    1,961,34
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.45
    Over 2,564%
    @1.49

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Olympic to win52%
    • Over 1.5 goals84%

    Combined probability

    44%

    Fair odds

    2.25

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

    02 · 3 legs

    Balanced

    • Olympic to win52%
    • Over 2.5 goals64%
    • Mamudu Moro 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 score64%
    • Over 2.5 goals64%
    • Mamudu Moro to score35%
    • Isak Wiman to be booked18%

    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 · Olympic52% probability@2.00BetsafeEV+5%reference odds
    • 1 · Olympic52% probability@2.00BetssonEV+5%reference odds
    • 1 · Olympic52% probability@2.00NordicbetEV+5%reference odds
    Bookmaker1 · OlympicX2 · Tvååker
    Betsafe
    EV+ 5%
    2.00
    3.603.10
    Betsson
    EV+ 5%
    2.00
    3.603.10
    Nordicbet
    EV+ 5%
    2.00
    3.603.10

    Odds updated 18 Aug, 18:36

    Odds movement

    1-1 %
    48 %43 %

    2.022.00

    X0 %
    28 %23 %

    3.603.60

    2+3 %
    32 %27 %

    3.003.10

    Betsson · 2 recorded price levels · 17/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Olympic 1Draw 2Tvååker 2
    Goals: 45 (⌀ 1,8)

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

    Key facts

    • Tvååkers IF dominate this fixture historically: 2 wins to 1 in 5 meetings.
    • Tvååkers IF have scored in 13 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Olympic
    Tvååker
    When goals are scored and conceded 2026
    Olympic (2729)
    Tvååker (2224)
    Pass networks

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

    Olympic
    Francis Dovi: 267 passningar, xT 0.54DoviEric Fidelis Ologe: 238 passningar, xT 0.26OlogeAlbin Sundgren: 233 passningar, xT 0.94SundgrenAugust Karlin: 228 passningar, xT 0.4KarlinCasper Nilsson: 181 passningar, xT 0.93NilssonAlexander Robért: 178 passningar, xT 0.35RobértOsama Khattab: 131 passningar, xT 0.89KhattabMattias Andersson: 128 passningar, xT 0.14AnderssonJacob Stern: 100 passningar, xT 0.12SternJoakim Persson: 58 passningar, xT -0.01PerssonMamudu Moro: 45 passningar, xT -0.19Moro
    Tvååker
    Theodor Graudums: 268 passningar, xT 0.21GraudumsGabriel Gustavsson: 211 passningar, xT 1.03GustavssonIsak Wiman: 180 passningar, xT 0.02WimanViggo Gustavsson: 179 passningar, xT 0.19GustavssonMelvin Sjöland: 142 passningar, xT 0.7SjölandVictor Karlsson: 126 passningar, xT 2.03KarlssonFelix Gustafsson: 119 passningar, xT 0.93GustafssonViktor Nilsson: 92 passningar, xT 0.06NilssonAlfred Ajdarevic: 89 passningar, xT 0.49AjdarevicNoel Lundgren: 80 passningar, xT -0.06LundgrenHugo Rödin: 76 passningar, xT 0.11Rödin
    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.

    Olympic
    Francis Dovi: 267 passningar, xT 0.54DoviEric Fidelis Ologe: 238 passningar, xT 0.26OlogeAlbin Sundgren: 233 passningar, xT 0.94SundgrenAugust Karlin: 228 passningar, xT 0.4KarlinCasper Nilsson: 181 passningar, xT 0.93NilssonAlexander Robért: 178 passningar, xT 0.35RobértOsama Khattab: 131 passningar, xT 0.89KhattabMattias Andersson: 128 passningar, xT 0.14AnderssonJacob Stern: 100 passningar, xT 0.12SternJoakim Persson: 58 passningar, xT -0.01PerssonMamudu Moro: 45 passningar, xT -0.19Moro
    Tvååker
    Theodor Graudums: 268 passningar, xT 0.21GraudumsGabriel Gustavsson: 211 passningar, xT 1.03GustavssonIsak Wiman: 180 passningar, xT 0.02WimanViggo Gustavsson: 179 passningar, xT 0.19GustavssonMelvin Sjöland: 142 passningar, xT 0.7SjölandVictor Karlsson: 126 passningar, xT 2.03KarlssonFelix Gustafsson: 119 passningar, xT 0.93GustafssonViktor Nilsson: 92 passningar, xT 0.06NilssonAlfred Ajdarevic: 89 passningar, xT 0.49AjdarevicNoel Lundgren: 80 passningar, xT -0.06LundgrenHugo Rödin: 76 passningar, xT 0.11Rödin

    The teams in numbers

    PerformanceOlympicTvååker
    Points2325
    xPoints22.620.4
    xG per match1.41.1
    xGA per match1.51.7
    xG within 8s of winning the ball0.190.17
    xGA within 8s of losing the ball0.370.27
    Playing styleOlympicTvååker
    Build-up efficiency0.340.34
    Field tilt0.50.38
    xT per match1.41.4
    xTA per match1.41.6
    Won balls, offensive half2324
    Pressing intensity0.470.51
    Pressing efficiency0.260.26
    Pressing efficiency, offensive half0.280.27
    Entries into the box per match1311
    Entries into the box against1617
    Pass completion %0.830.77
    Pass completion % under pressure0.770.72
    Passes per match403326
    Passes against per match334410
    Switches of play per match16.118.1
    Long balls per match3130
    Set piecesOlympicTvååker
    xG from free kicks0.190.09
    Corners per match4.83.9
    Corners against per match5.96.5
    xG per corner0.020.04
    xGA per corner against0.020.04
    First touch, offensive corners %0.470.48
    First touch, defensive corners %0.620.62
    OtherOlympicTvååker
    Throw-in control0.630.55
    The goalkeepersJoakim Persson (Olympic)Alexander Capocci Nielsen (Tvååker)
    Saves5169
    Save %64%75%
    xG prevented49%66%
    Claims87 (94%)75 (89%)

    Frequently asked questions

    Who wins Olympic vs Tvååker according to our model?

    The model gives Olympic a 52% win probability. Full 1X2 picture: Olympic 52%, draw 24%, Tvååker 24%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 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 64% 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.

    More matches in the league

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