Conference League

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    ApollonApollon
    vs
    The model's lean: 1 · Apollon (45%)
    BrannBrann

    ApollonBrann · Conference League

    1 · Apollon 45%X 26%29% Brann · 2

    Analysis: ApollonBrann

    Erik Lindberg · · How the predictions work

    Apollon's home advantage shines through in numbers that suggest a likely edge against Brann. A probability of 45% in favor of the home team, combined with expected goals of 1.91, hints at Apollon's attacking edge. Despite only a slender lead in the odds over Brann's 29%, it's enough to suggest that Apollon should be considered the frontrunners in this clash.

    Brann have their work cut out for them, with an expected goals tally trailing at 1.10. Their chances aren't bolstered by the most likely scorelines either, with a 2-1 to Apollon at 10% and a 1-0 also in Apollon's favor at 9%. The model's lean towards Apollon is not just statistical; it's a reflection of current form and home turf advantage. The 1-1 draw at 11% is the most probable scenario overall, highlighting Brann's potential to make things tough, yet it doesn't overshadow the home side's edge.

    Apollon enters with momentum, and the likelihood of over 2.5 goals at 58% suggests an open game. If Brann can exploit any defensive lapses, the 57% chance of both teams scoring could come into play, yet the weather remains a non-factor. This potential for goals aligns with Apollon’s attacking stats, while Brann’s scoring potential can't be entirely dismissed despite their lesser offense.

    If you're looking for value, Apollon at EV+ with a bookmaker offering odds reflective of their 45% win probability could be your angle. An outright Apollon win seems plausible, given the expected goal disparity and win probability. A 2-1 scoreline feels like the best reflection of the data, and with the over 2.5 leaning favorably, goals could well be on the menu.

    ApollonApollon
    BrannBrann
    Form LWDD
    Key players
    • Felix MyhreCAMxG 0.05 · xT 0.17
    • Bård FinneFxG 0.24 · xT 0.07
    • Sivert NilsenCDMxG 0.00 · xT 0.11

    Match prediction: ApollonBrann

    Predicted score matrix

    Brann
    Apollon
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–15.1%
    0–23.0%
    0–31.1%
    0–4+0.4%
    1
    1–09.1%
    1–110.6%
    1–25.7%
    1–32.1%
    1–4+0.7%
    2
    2–09.0%
    2–19.9%
    2–25.5%
    2–32.0%
    2–4+0.7%
    3
    3–05.7%
    3–16.3%
    3–23.5%
    3–31.3%
    3–4+0.4%
    4+
    4+–04.2%
    4+–14.6%
    4+–22.6%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,911,10
    Both teams to score
    57%

    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

    • Apollon to win45%
    • 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

    • Apollon to win45%
    • Over 2.5 goals58%
    • Pedro David Rosendo Marques to score24%

    Combined probability

    9%

    Fair odds

    10.84

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score57%
    • Over 2.5 goals58%
    • Niklas Fernando Nygård Castro to score27%
    • Andrei Artean to be booked24%

    Combined probability

    3%

    Fair odds

    33.31

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    No odds available yet.

    Statistics

    When goals are scored and conceded 2023
    Brann (87)
    Pass networks

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

    Brann
    Sivert Nilsen: 202 passningar, xT 0.38NilsenRuben Kristiansen: 181 passningar, xT 0.01KristiansenFredrik Knudsen: 154 passningar, xT 0.51KnudsenThore Pedersen: 135 passningar, xT 0.34PedersenSvenn Crone: 127 passningar, xT 0.45CroneMathias Dyngeland: 125 passningar, xT 0.57DyngelandFelix Myhre: 125 passningar, xT 0.37MyhreFrederik Børsting: 77 passningar, xT 0.16BørstingNiklas Nygård Castro: 55 passningar, xT 0.57CastroSander Kartum: 51 passningar, xT 0.25KartumMoonga Simba: 48 passningar, xT 0.03Simba
    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.

    Brann
    Sivert Nilsen: 202 passningar, xT 0.38NilsenRuben Kristiansen: 181 passningar, xT 0.01KristiansenFredrik Knudsen: 154 passningar, xT 0.51KnudsenThore Pedersen: 135 passningar, xT 0.34PedersenSvenn Crone: 127 passningar, xT 0.45CroneMathias Dyngeland: 125 passningar, xT 0.57DyngelandFelix Myhre: 125 passningar, xT 0.37MyhreFrederik Børsting: 77 passningar, xT 0.16BørstingNiklas Nygård Castro: 55 passningar, xT 0.57CastroSander Kartum: 51 passningar, xT 0.25KartumMoonga Simba: 48 passningar, xT 0.03Simba
    The goalkeepersApollonMathias Dyngeland (Brann)
    Saves20
    Save %74%
    xG prevented58%
    Claims0 (0%)

    Frequently asked questions

    Who wins Apollon vs Brann according to our model?

    The model gives Apollon a 45% win probability. Full 1X2 picture: Apollon 45%, draw 26%, Brann 29%.

    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 58% and under at 42%.

    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.