Swedish Ettan12°2,7 mm16 km/h

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    VasalundVasalundPossession control
    vs
    Assyriska FFAssyriska FFCounter-attacks & crosses
    The model's lean: 2 · Assyriska FF (38%)Soft draw

    Vasalund vs Assyriska FF · Swedish Ettan

    1 · Vasalund 36%X 26%38% Assyriska FF · 2

    Analysis: VasalundAssyriska FF

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

    Vasalund's recent form is a glaring concern as they come into this matchup with three consecutive losses. Despite managing to find the net in eight straight league matches, their defense remains porous, conceding more than they score. This might be a critical flaw against an Assyriska side known for capitalizing on counter-attacks and crosses.

    The visitors have dominated the head-to-head meetings, winning four of the last five encounters. While it's a small sample size and not definitive on its own, it complements their current better standing in both points and xPoints. Assyriska's ability to execute a quick transition game could exploit Vasalund's defensive vulnerabilities.

    Model probabilities tilt slightly in favor of Assyriska, giving them a 38% chance of winning compared to Vasalund's 36%. The expected goals suggest a close match—Vasalund at 1.62 xG and Assyriska at 1.43 xG—but when you factor in the hosts' recent struggles, their slight xG edge falters. The likelihood of both teams scoring is significant at 61%, and the over 2.5 goals market is sitting at 59%, suggesting a match that shouldn't lack scoring opportunities.

    The most likely scoreline appears to be 1-1, but given Assyriska's historical edge and current form, a 1-2 outcome seems more plausible. While the odds are tight, the market might undervalue Assyriska's chance of victory. Look to Bet365, offering odds of 2.80 for an Assyriska win, which provides a potential value that aligns with the model's lean. This is a matchup where the visitors could well capitalize on their tactical strengths and Vasalund's defensive lapses.

    VasalundVasalund
    Form DWLLL
    League ranking xG #14xGA #28xT #21xP/match #28Points #25
    Key players
    • Ali KhanLWxG 0.30 · xT 0.41
    • Marko NikolicFxG 0.19 · xT 0.23
    • Christopher SliwoFxG 0.55 · xT 0.05
    Assyriska FFAssyriska FF
    Form WLWWL
    League ranking xG #18xGA #15xT #19xP/match #12Points #15
    Key players
    • Sebastian WändinRWBxG 0.05 · xT 0.18
    • Viktor WiderbergFxG 0.22 · xT 0.10
    • Elias Ländin SjöblomLWxG 0.04 · xT 0.39

    Match prediction: VasalundAssyriska FF

    Predicted score matrix

    Assyriska FF
    Vasalund
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–16.4%
    0–24.8%
    0–32.3%
    0–4+1.1%
    1
    1–07.4%
    1–111.3%
    1–27.8%
    1–33.7%
    1–4+1.8%
    2
    2–06.2%
    2–18.9%
    2–26.4%
    2–33.0%
    2–4+1.5%
    3
    3–03.4%
    3–14.8%
    3–23.4%
    3–31.6%
    3–4+0.8%
    4+
    4+–02.0%
    4+–12.8%
    4+–22.0%
    4+–31.0%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-16%
    Expected goals
    1,621,43
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    Over 2,559%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Assyriska FF or draw (X2)58%
    • Over 1.5 goals81%

    Combined probability

    47%

    Fair odds

    2.14

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

    02 · 3 legs

    Balanced

    • Double chance Assyriska FF or draw (X2)58%
    • Over 2.5 goals59%
    • Samuel Nnamani to score23%

    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 score61%
    • Over 2.5 goals59%
    • Elias Alarcon Mac Callum to score27%
    • Esaias Torppa 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 · Assyriska FF38% probability@2.95BetsafeEV+13%reference odds
    • 2 · Assyriska FF38% probability@2.95BetssonEV+13%reference odds
    • 2 · Assyriska FF38% probability@2.95NordicbetEV+13%reference odds
    Bookmaker1 · VasalundX2 · Assyriska FF
    Betsafe2.003.75
    EV+ 13%
    2.95
    Betsson2.003.75
    EV+ 13%
    2.95
    Nordicbet2.003.75
    EV+ 13%
    2.95

    Odds updated 16 Sept, 09:37

    Statistics

    Head-to-head

    5 matches
    Vasalund 1Draw 0Assyriska FF 4
    Goals: 511 (⌀ 3,2)

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

    Key facts

    • Assyriska FF dominate this fixture historically: 4 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.2 goals per meeting on average.
    • Vasalund have lost 3 in a row.
    • Vasalund have scored in 8 consecutive league matches.
    • Assyriska FF have scored in 9 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Vasalund
    Assyriska FF
    When goals are scored and conceded 2026
    Vasalund (3343)
    Assyriska FF (3534)
    Pass networks

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

    Vasalund
    Tobias Westin: 256 passningar, xT 0.5WestinMartin Östergren: 222 passningar, xT 0.32ÖstergrenAli Khan: 205 passningar, xT 1.27KhanEsaias Torppa: 188 passningar, xT 0.09TorppaJohn Lundström: 170 passningar, xT 0LundströmMelvin Vucenovic Persson: 163 passningar, xT 0.31PerssonPetter Soelberg: 140 passningar, xT 0.46SoelbergMaximilian Dejene: 121 passningar, xT 0.45DejeneFilip Lukic: 119 passningar, xT 0.67LukicMelvin Bajrovic: 97 passningar, xT 0.28BajrovicNoel Birgoth: 74 passningar, xT 0.04Birgoth
    Assyriska FF
    Elias Ländin Sjöblom: 219 passningar, xT 0.89SjöblomVictor Åsberg: 214 passningar, xT 0.62ÅsbergLiam Tahwildaran: 194 passningar, xT 1.33TahwildaranAmadou Kalabane: 168 passningar, xT 0.27KalabaneSebastian Wändin: 165 passningar, xT 0.81WändinKevin Jarrett: 138 passningar, xT 0.44JarrettMartin Haddad: 116 passningar, xT 0.41HaddadFelix Felder Aaltonen: 105 passningar, xT 0.61AaltonenMartín Ignacio Larraín Guzmán: 70 passningar, xT 0.54GuzmánViktor Widerberg: 68 passningar, xT -0.04WiderbergKingdom Osayi: 66 passningar, xT 0.2Osayi
    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.

    Vasalund
    Tobias Westin: 256 passningar, xT 0.5WestinMartin Östergren: 222 passningar, xT 0.32ÖstergrenAli Khan: 205 passningar, xT 1.27KhanEsaias Torppa: 188 passningar, xT 0.09TorppaJohn Lundström: 170 passningar, xT 0LundströmMelvin Vucenovic Persson: 163 passningar, xT 0.31PerssonPetter Soelberg: 140 passningar, xT 0.46SoelbergMaximilian Dejene: 121 passningar, xT 0.45DejeneFilip Lukic: 119 passningar, xT 0.67LukicMelvin Bajrovic: 97 passningar, xT 0.28BajrovicNoel Birgoth: 74 passningar, xT 0.04Birgoth
    Assyriska FF
    Elias Ländin Sjöblom: 219 passningar, xT 0.89SjöblomVictor Åsberg: 214 passningar, xT 0.62ÅsbergLiam Tahwildaran: 194 passningar, xT 1.33TahwildaranAmadou Kalabane: 168 passningar, xT 0.27KalabaneSebastian Wändin: 165 passningar, xT 0.81WändinKevin Jarrett: 138 passningar, xT 0.44JarrettMartin Haddad: 116 passningar, xT 0.41HaddadFelix Felder Aaltonen: 105 passningar, xT 0.61AaltonenMartín Ignacio Larraín Guzmán: 70 passningar, xT 0.54GuzmánViktor Widerberg: 68 passningar, xT -0.04WiderbergKingdom Osayi: 66 passningar, xT 0.2Osayi

    The teams in numbers

    PerformanceVasalundAssyriska FF
    Points2329
    xPoints2531.3
    xG per match1.41.3
    xGA per match1.61.3
    xG within 8s of winning the ball0.210.29
    xGA within 8s of losing the ball0.360.23
    Playing styleVasalundAssyriska FF
    Build-up efficiency0.360.37
    Field tilt0.540.41
    xT per match1.31.3
    xTA per match1.41.6
    Won balls, offensive half2926
    Pressing intensity0.510.46
    Pressing efficiency0.270.23
    Pressing efficiency, offensive half0.270.25
    Entries into the box per match1413
    Entries into the box against1413
    Pass completion %0.80.78
    Pass completion % under pressure0.750.72
    Passes per match374294
    Passes against per match322404
    Switches of play per match17.516.7
    Long balls per match3232
    Set piecesVasalundAssyriska FF
    xG from free kicks0.140.11
    Corners per match4.84.5
    Corners against per match5.24.9
    xG per corner0.040.03
    xGA per corner against0.040.01
    First touch, offensive corners %0.490.43
    First touch, defensive corners %0.60.71
    OtherVasalundAssyriska FF
    Throw-in control0.570.53
    The goalkeepersSindri Olafsson (Vasalund)Kingdom Osayi (Assyriska FF)
    Saves5358
    Save %68%68%
    xG prevented48%40%
    Claims78 (90%)100 (90%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vasalund vs Assyriska FF according to our model?

    The model gives Assyriska FF a 38% win probability. Full 1X2 picture: Vasalund 36%, draw 26%, Assyriska FF 38%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.