Conference League17°13,1 mm17 km/h

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    BrannBrann
    vs
    The model's lean: 1 · Brann (41%)
    Best value by the model: 2 · Apollon @ 4.72 (+63 %)
    ApollonApollon

    BrannApollon · Conference League

    1 · Brann 41%X 25%34% Apollon · 2

    Analysis: BrannApollon

    Anna Karlsson · · How the predictions work

    A 41% win probability for Brann suggests they're the slight favourites against Apollon. Yet, the numbers hint at a clash tighter than a Scotsman's wallet, with a real possibility of a draw or a narrow victory for either side. The most likely scorelines—1-1 (12%), 1-0 (9%), and 2-1 (9%)—add weight to the idea of a cagey encounter, where a single moment of brilliance or a defensive lapse could tip the scales.

    Brann have reason to feel cautiously optimistic. With expected goals of 1.41, they edge Apollon’s 1.33, suggesting they might create slightly better chances. However, with 51% likelihood for over 2.5 goals, the match leans just above the line of a goal-fest. The damp conditions, 16.9°C with 13.1 mm of rain expected, could suppress the scoring spontaneity, muddying the waters for those expecting fireworks.

    Apollon, whose model probability stands at a respectable 34%, offers a tantalising value bet scenario. With odds of 4.72 on Pinnacle, there's a tempting 63% edge for those willing to roll the dice on the underdog. Such odds reflect a substantial overlay against the model’s evaluation, a rare find for punters looking to capitalise on market inefficiencies. Even with Paddy Power offering 4.0, there's still a notable 38% edge.

    While both teams to score at 56% points towards an open contest, the weather could play the spoilsport. The rain may well dampen attacking spirits and tighten up defences, making the 1-1 scoreline and the notion of a draw all the more compelling. Still, those intrigued by goals might find a sliver of value in the over 2.5 at odds of 2.0 with Paddy Power, albeit a modest 3% edge.

    As the match edges closer, punters might find Apollon's odds too tempting to pass up, especially given their EV+ status. A punt on Apollon could yield a handsome return for those willing to back the unlikely victors.

    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
    ApollonApollon

    Match prediction: BrannApollon

    Predicted score matrix

    Apollon
    Brann
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–18.3%
    0–25.7%
    0–32.5%
    0–4+1.1%
    1
    1–08.8%
    1–112.5%
    1–28.0%
    1–33.6%
    1–4+1.6%
    2
    2–06.4%
    2–18.5%
    2–25.7%
    2–32.5%
    2–4+1.1%
    3
    3–03.0%
    3–14.0%
    3–22.6%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.4%
    4+–11.9%
    4+–21.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,411,33
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @1.98
    Over 2,551%
    @2.00EV+3%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Brann or draw (1X)65%
    • Over 1.5 goals76%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Double chance Brann or draw (1X)65%
    • Over 2.5 goals51%
    • Niklas Fernando Nygård Castro to score36%

    Combined probability

    11%

    Fair odds

    9.09

    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 score56%
    • Over 2.5 goals51%
    • Niklas Fernando Nygård Castro to score36%
    • Andrei Artean to be booked24%

    Combined probability

    4%

    Fair odds

    27.14

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

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Apollon34% probability@4.72PinnacleEV+63%
    • 2 · Apollon34% probability@4.00Paddy PowerEV+38%
    • Over 2.551% probability@2.00Paddy PowerEV+3%
    Bookmaker1 · BrannX2 · Apollon
    Paddy Power1.753.50
    EV+ 38%
    4.00
    Pinnacle1.593.97
    EV+ 63%
    4.72

    Odds updated 4 Aug, 22:09

    Odds movement

    1-2 %
    59 %54 %

    1.631.59

    X+5 %
    26 %21 %

    3.773.97

    2+6 %
    22 %17 %

    4.464.72

    Over 2,5+1 %
    56 %51 %

    1.791.81

    Pinnacle · 7 recorded price levels · 02/08/2026 → 04/08/2026 · fixed scale 5 percentage points

    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 goalkeepersMathias Dyngeland (Brann)Apollon
    Saves20
    Save %74%
    xG prevented58%
    Claims0 (0%)

    Frequently asked questions

    Who wins Brann vs Apollon according to our model?

    The model gives Brann a 41% win probability. Full 1X2 picture: Brann 41%, draw 25%, Apollon 34%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.