Swedish Ettan8°3,6 mm18 km/h

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    Karlstad FotbollKarlstad FotbollPossession control
    vs
    ArlandaArlandaCounter-attacks & crosses
    The model's lean: 1 · Karlstad Fotboll (57%)

    Karlstad Fotboll vs Arlanda · Swedish Ettan

    1 · Karlstad Fotboll 57%X 22%21% Arlanda · 2

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    Analysis: Karlstad Fotboll – Arlanda

    Sofia Andersson · · The model's read on the match · How the predictions work

    Karlstad's defensive prowess, reflected in their xGA of just 0.77 per match, sets the stage for a clash against Arlanda, who arrive on a three-game winning streak. Despite trailing in points, the hosts have consistently managed to reduce their opponents' scoring opportunities. This defensive strength could be pivotal against Arlanda's counter-attacking style, which relies heavily on crosses.

    The small head-to-head sample since 2023 shows Karlstad with two wins and one loss against Arlanda, but it's a slim margin and less telling than current form and expected goals. The model favors Karlstad with a 57% probability of victory, primarily due to their ability to control possession. Arlanda, while in good form, have a higher xGA of 1.4. This could expose them against a team that averages over two expected goals at home.

    Expected goals further emphasize the hosts' potential advantage: with a 2.07 xG compared to Arlanda's 0.94, Karlstad are likely to create more significant chances. The most probable scorelines of 2-0 and 2-1 suggest a home win with Karlstad's defensive edge likely to stifle Arlanda's attack. However, the 54% chance of both teams scoring shows there is some risk in underestimating Arlanda's recent form.

    With the over 2.5 goals probability at 58%, the market expects a fairly open game. Yet, given Karlstad's robust defense, the value might lie in a low-scoring win for the hosts. The most compelling betting angle is the 11% likelihood of a 2-0 result. While assessing value, check odds for this outcome, especially if they exceed the model's implied probability. Arlanda's form presents a challenge, but Karlstad's defensive consistency and possession control make them the sharper pick.

    Karlstad FotbollKarlstad Fotboll
    Form LLDDD
    League ranking xG #18xGA #1xT #24xP/match #7Points #10
    Key players
    • Adam BarkFxG 0.31 · xT 0.53
    • William MiguelFxG 0.41 · xT 0.09
    • Johan BengtssonFxG 0.12 · xT 0.04
    ArlandaArlanda
    Form LLWWW
    League ranking xG #17xGA #16xT #15xP/match #13Points #5
    Key players
    • Mario ButrosCAMxG 0.11 · xT 0.26
    • Isac AntholmLWxG 0.29 · xT 0.12
    • Anton CharbachiLWxG 0.51 · xT 0.14

    Match prediction: Karlstad Fotboll – Arlanda

    Predicted score matrix

    Arlanda →
    Karlstad Fotboll →
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.3%
    0–22.2%
    0–30.7%
    0–4+0.2%
    1
    1–09.9%
    1–19.9%
    1–24.5%
    1–31.4%
    1–4+0.4%
    2
    2–010.6%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–07.3%
    3–16.9%
    3–23.2%
    3–31.0%
    3–4+0.3%
    4+
    4+–06.1%
    4+–15.7%
    4+–22.7%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.2-110%
    3. 3.1-010%
    4. 4.1-110%
    5. 5.3-07%
    Expected goals
    2,07–0,94
    Both teams to score
    54%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    –
    Over 2,558%
    –

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Karlstad Fotboll to win57%
    • Over 1.5 goals81%

    Combined probability

    53%

    Fair odds

    1.88

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

    02 · 3 legs

    Balanced

    • Karlstad Fotboll to win57%
    • Over 2.5 goals58%
    • Kim Käck Ofordu to score30%

    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 score54%
    • Over 2.5 goals58%
    • Kim Käck Ofordu to score30%
    • Konrad Gustafsson to be booked22%

    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

    3 matches
    Karlstad Fotboll 2Draw 0Arlanda 1
    Goals: 8–4 (⌀ 4)

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

    Key facts

    • FC Arlanda come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Karlstad Fotboll
    Arlanda
    When goals are scored and conceded — 2026
    Karlstad Fotboll (36–24)
    Arlanda (42–27)
    Pass networks

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

    Karlstad Fotboll
    Suleman Zurmati: 246 passningar, xT 0.25ZurmatiStevan Beko: 229 passningar, xT 0.16BekoHenrik Bellman: 220 passningar, xT 0.49BellmanElliot Nilsson King: 194 passningar, xT 0.09KingIsaac Yawe Höök: 184 passningar, xT 0.56HöökBanabas Tagoe: 160 passningar, xT 0.51TagoeAdam Bark: 160 passningar, xT 2.83BarkJohan Bengtsson: 97 passningar, xT 0BengtssonKonrad Gustafsson: 79 passningar, xT 0.15GustafssonNuha Jatta: 77 passningar, xT 0.12JattaLukas Rhöse: 73 passningar, xT 0.07Rhöse
    Arlanda
    Carl Norberg: 209 passningar, xT 3.4NorbergYoas Yemane: 147 passningar, xT 0.56YemaneErik Johansson Olsson: 137 passningar, xT 0.2OlssonLeonard Kleist: 133 passningar, xT 0.3KleistHjalmar Fredricson: 103 passningar, xT 0.49FredricsonMario Butros: 86 passningar, xT 0.97ButrosAdam Smedberg Lagh: 66 passningar, xT 0.17LaghIsac Antholm: 63 passningar, xT 0.15AntholmIsac Giordano Eriksson: 61 passningar, xT 0.19ErikssonAnton Charbachi: 56 passningar, xT -0.01CharbachiMuktar Ahmed: 49 passningar, xT 0.01Ahmed
    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.

    Karlstad Fotboll
    Suleman Zurmati: 246 passningar, xT 0.25ZurmatiStevan Beko: 229 passningar, xT 0.16BekoHenrik Bellman: 220 passningar, xT 0.49BellmanElliot Nilsson King: 194 passningar, xT 0.09KingIsaac Yawe Höök: 184 passningar, xT 0.56HöökBanabas Tagoe: 160 passningar, xT 0.51TagoeAdam Bark: 160 passningar, xT 2.83BarkJohan Bengtsson: 97 passningar, xT 0BengtssonKonrad Gustafsson: 79 passningar, xT 0.15GustafssonNuha Jatta: 77 passningar, xT 0.12JattaLukas Rhöse: 73 passningar, xT 0.07Rhöse
    Arlanda
    Carl Norberg: 209 passningar, xT 3.4NorbergYoas Yemane: 147 passningar, xT 0.56YemaneErik Johansson Olsson: 137 passningar, xT 0.2OlssonLeonard Kleist: 133 passningar, xT 0.3KleistHjalmar Fredricson: 103 passningar, xT 0.49FredricsonMario Butros: 86 passningar, xT 0.97ButrosAdam Smedberg Lagh: 66 passningar, xT 0.17LaghIsac Antholm: 63 passningar, xT 0.15AntholmIsac Giordano Eriksson: 61 passningar, xT 0.19ErikssonAnton Charbachi: 56 passningar, xT -0.01CharbachiMuktar Ahmed: 49 passningar, xT 0.01Ahmed

    The teams in numbers

    PerformanceKarlstad FotbollArlanda
    Points4045
    xPoints36.934.6
    xG per match1.31.3
    xGA per match0.771.4
    xG within 8s of winning the ball0.220.24
    xGA within 8s of losing the ball0.180.25
    Playing styleKarlstad FotbollArlanda
    Build-up efficiency0.350.34
    Field tilt0.610.41
    xT per match1.31.4
    xTA per match0.931.5
    Won balls, offensive half3332
    Pressing intensity0.510.52
    Pressing efficiency0.290.28
    Pressing efficiency, offensive half0.270.31
    Entries into the box per match1111
    Entries into the box against815
    Pass completion %0.80.73
    Pass completion % under pressure0.740.68
    Passes per match391260
    Passes against per match308339
    Switches of play per match16.117.6
    Long balls per match3232
    Set piecesKarlstad FotbollArlanda
    xG from free kicks0.130.16
    Corners per match5.33.5
    Corners against per match3.65
    xG per corner0.030.03
    xGA per corner against0.020.03
    First touch, offensive corners %0.370.44
    First touch, defensive corners %0.660.58
    OtherKarlstad FotbollArlanda
    Throw-in control0.570.44
    The goalkeepersMathias Karlsson (Karlstad Fotboll)Adam Smedberg Lagh (Arlanda)
    Saves4789
    Save %70%77%
    xG prevented40%60%
    Claims104 (88%)120 (93%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Karlstad Fotboll vs Arlanda according to our model?

    The model gives Karlstad Fotboll a 57% win probability. Full 1X2 picture: Karlstad Fotboll 57%, draw 22%, Arlanda 21%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.