Swedish Ettan

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

    Karlberg vs Assyriska FF · Swedish Ettan

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

    Prediction summary

    BetBuilders AI model prediction for Karlberg vs Assyriska FF (Swedish Ettan, Sunday, 1 November 2026): Karlberg win 36%, draw 26%, Assyriska FF win 38%. Expected goals (xG): Karlberg 1.71, Assyriska FF 1.52. Most likely score: 1-1 (11%). Over 2.5 goals 63%, both teams to score 64%. Double chance: Karlberg or draw 62%, Assyriska FF or draw 64%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Karlberg – Assyriska FF

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

    TEXT: Karlberg's physicality meets Assyriska FF's counter-attacking precision in what the models suggest is a tight contest. Despite Assyriska's slight edge in both points and model probabilities, Karlberg's historical dominance in this fixture cannot be ignored. In their last five encounters, the hosts have triumphed four times, with the fixture averaging an impressive 4.8 combined goals per meeting. However, the sample size is small, so this record may not fully reflect current form.

    The model predicts a close match, with Karlberg given a 36% chance of winning, just shy of Assyriska's 38%. A likely 1-1 draw at 11% and a 2-1 win for Karlberg at 9% suggest a narrow margin. It's intriguing that despite the visitors being slight favorites, the expected goals lean towards the hosts: 1.71 for Karlberg versus 1.52 for Assyriska. This hints at a possible underestimation of Karlberg's attacking threat, especially when their xG per match stands higher at 1.4 compared to Assyriska's 1.2.

    With a 63% probability for over 2.5 goals and a 64% chance of both teams finding the net, the game promises a fair share of attacking action. Both teams are capable of scoring, but expect Karlberg's balance and physical approach to potentially disrupt Assyriska's counter-attacks. Defensively, Karlberg concedes as much as they score (1.4 xGA), which might provide Assyriska with openings through their preferred crossing strategy.

    For those seeking value, William Hill offers Karlberg to win at 2.80, which might be worth a look given their historical superiority in this matchup and slightly underestimated attacking numbers. While Assyriska FF has the model's lean, Karlberg's home advantage and past performance suggest they are well-positioned to defy the odds once more.

    KarlbergKarlberg
    Form LDWDL
    League ranking xG #16xGA #19xT #20xP/match #17Points #22
    Key players
    • Nino GeigerCBxG 0.02 · xT 0.06
    • Noah Tesfai NegashLWxG 0.18 · xT 0.24
    • Ayo Rupia-EllisRBxG 0.14 · xT 0.12
    Assyriska FFAssyriska FF
    Form WLLWL
    League ranking xG #21xGA #16xT #12xP/match #14Points #18
    Key players
    • Kevin JarrettCAMxG 0.16 · xT 0.10
    • Victor ÅsbergCDMxG 0.06 · xT 0.10
    • Sebastian WändinRWBxG 0.03 · xT 0.17

    Match prediction: Karlberg – Assyriska FF

    Predicted score matrix

    Assyriska FF →
    Karlberg →
    0
    1
    2
    3
    4+
    0
    0–04.3%
    0–15.7%
    0–24.6%
    0–32.3%
    0–4+1.2%
    1
    1–06.5%
    1–110.6%
    1–27.8%
    1–34.0%
    1–4+2.1%
    2
    2–05.8%
    2–18.8%
    2–26.7%
    2–33.4%
    2–4+1.8%
    3
    3–03.3%
    3–15.0%
    3–23.8%
    3–31.9%
    3–4+1.0%
    4+
    4+–02.1%
    4+–13.1%
    4+–22.4%
    4+–31.2%
    4+–4+0.6%
    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. 4.2-27%
    5. 5.1-06%
    Expected goals
    1,71–1,52
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    –
    Over 2,563%
    –

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    01 · 2 legs

    Safe

    • Double chance Assyriska FF or draw (X2)58%
    • Over 1.5 goals84%

    Combined probability

    48%

    Fair odds

    2.08

    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 goals63%
    • Felix Felder Aaltonen to score25%

    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 goals63%
    • Adam Jemal to score38%
    • Kevin Jarrett to be booked19%

    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

    No odds available yet.

    Statistics

    Head-to-head

    5 matches
    Karlberg 4Draw 0Assyriska FF 1
    Goals: 14–10 (⌀ 4,8)

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

    Key facts

    • Karlbergs BK dominate this fixture historically: 4 wins to 1 in 5 meetings.
    • A high-scoring fixture: 4.8 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Karlberg
    Assyriska FF
    When goals are scored and conceded — 2026
    Karlberg (37–47)
    Assyriska FF (45–48)
    Pass networks

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

    Karlberg
    Abiel Sequar: 286 passningar, xT 1.23SequarLukas Sietsema: 239 passningar, xT 0.6SietsemaFelix Högberg: 215 passningar, xT 0.31HögbergViktor Steen: 212 passningar, xT 0.17SteenNoah Tesfai Negash: 201 passningar, xT 0.65NegashFilip Nieminen Eriksson: 177 passningar, xT 0.71ErikssonHugo Fernández: 94 passningar, xT 0.15FernándezAdam Jemal: 88 passningar, xT 0.03JemalEdrisa Bojang: 83 passningar, xT 0.03BojangHugo Åslund: 78 passningar, xT -0.04ÅslundMilan Lalic: 76 passningar, xT 0.34Lalic
    Assyriska FF
    Elias Ländin Sjöblom: 232 passningar, xT 1.87SjöblomSamuel Uddenberg Edgren: 209 passningar, xT 0.58EdgrenSebastian Wändin: 204 passningar, xT 0.67WändinAmadou Kalabane: 192 passningar, xT 0.19KalabaneVictor Åsberg: 190 passningar, xT 0.22ÅsbergLiam Tahwildaran: 171 passningar, xT 0.31TahwildaranKevin Jarrett: 145 passningar, xT 0.06JarrettMartín Ignacio Larraín Guzmán: 110 passningar, xT 1.1GuzmánFelix Felder Aaltonen: 107 passningar, xT 2.04AaltonenViktor Widerberg: 42 passningar, xT 0.15WiderbergMartin Haddad: 38 passningar, xT 0.17Haddad
    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.

    Karlberg
    Abiel Sequar: 286 passningar, xT 1.23SequarLukas Sietsema: 239 passningar, xT 0.6SietsemaFelix Högberg: 215 passningar, xT 0.31HögbergViktor Steen: 212 passningar, xT 0.17SteenNoah Tesfai Negash: 201 passningar, xT 0.65NegashFilip Nieminen Eriksson: 177 passningar, xT 0.71ErikssonHugo Fernández: 94 passningar, xT 0.15FernándezAdam Jemal: 88 passningar, xT 0.03JemalEdrisa Bojang: 83 passningar, xT 0.03BojangHugo Åslund: 78 passningar, xT -0.04ÅslundMilan Lalic: 76 passningar, xT 0.34Lalic
    Assyriska FF
    Elias Ländin Sjöblom: 232 passningar, xT 1.87SjöblomSamuel Uddenberg Edgren: 209 passningar, xT 0.58EdgrenSebastian Wändin: 204 passningar, xT 0.67WändinAmadou Kalabane: 192 passningar, xT 0.19KalabaneVictor Åsberg: 190 passningar, xT 0.22ÅsbergLiam Tahwildaran: 171 passningar, xT 0.31TahwildaranKevin Jarrett: 145 passningar, xT 0.06JarrettMartín Ignacio Larraín Guzmán: 110 passningar, xT 1.1GuzmánFelix Felder Aaltonen: 107 passningar, xT 2.04AaltonenViktor Widerberg: 42 passningar, xT 0.15WiderbergMartin Haddad: 38 passningar, xT 0.17Haddad

    The teams in numbers

    PerformanceKarlbergAssyriska FF
    Points3335
    xPoints3737.9
    xG per match1.41.2
    xGA per match1.41.3
    xG within 8s of winning the ball0.210.24
    xGA within 8s of losing the ball0.340.2
    Playing styleKarlbergAssyriska FF
    Build-up efficiency0.350.38
    Field tilt0.480.43
    xT per match1.41.5
    xTA per match1.51.6
    Won balls, offensive half2727
    Pressing intensity0.540.46
    Pressing efficiency0.240.24
    Pressing efficiency, offensive half0.230.26
    Entries into the box per match1313
    Entries into the box against1413
    Pass completion %0.820.78
    Pass completion % under pressure0.770.72
    Passes per match379307
    Passes against per match376395
    Switches of play per match13.116.4
    Long balls per match2833
    Set piecesKarlbergAssyriska FF
    xG from free kicks0.180.12
    Corners per match4.54.8
    Corners against per match4.84.8
    xG per corner0.030.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.480.44
    First touch, defensive corners %0.630.7
    OtherKarlbergAssyriska FF
    Throw-in control0.610.56
    The goalkeepersArgyrios Gkoulios (Karlberg)Kingdom Osayi (Assyriska FF)
    Saves6274
    Save %70%67%
    xG prevented50%40%
    Claims77 (90%)125 (89%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Karlberg vs Assyriska FF according to our model?

    The model gives Assyriska FF a 38% win probability. Full 1X2 picture: Karlberg 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 63% and under at 37%.

    Will both teams score?

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

    How many goals are expected in Karlberg vs Assyriska FF?

    The model expects 1.71 goals (xG) for Karlberg and 1.52 for Assyriska FF, 3.23 in total.

    What does the model say about double chance?

    Karlberg or draw (1X) 62%, Assyriska FF or draw (X2) 64% and no draw (12) 74%.

    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.