Conference League15°0,6 mm9 km/h

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    BrannBrannPossession control
    vs
    PAOKPAOK
    The model's lean: 1 · Brann (43%)

    BrannPAOK · Conference League

    1 · Brann 43%X 26%31% PAOK · 2

    Analysis: BrannPAOK

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

    The model places Brann as narrow favorites with a 43% chance of victory, leaning towards a tight match. The most likely scoreline sits at 1-1, with single-goal wins for the hosts, either 1-0 or 2-1, trailing closely behind. With Brann's expected goals at 1.44 and PAOK's at 1.27, the numbers hint at a game where the defenses might just hold a slight edge over the attacks. The over 2.5 goals stands at 51%, a coin flip, suggesting a cautious approach to overs.

    Brann's recent form on home soil has been impressive, but that's a narrative not shared by their direct encounters with PAOK, whose historical context is limited. Over such a short head-to-head sample, other factors like current form and expected goals carry more weight. The model's lean towards Brann suggests they might edge it — barely — provided their defensive solidity at home holds up against a PAOK side capable of creating chances.

    PAOK's 31% shot at victory underscores their potential to disrupt the hosts' rhythm. Both teams exhibit a 55% probability of finding the net, further affirming a tightly contested match where each side is likely to score. Yet, with the statistical edge resting on Brann's shoulders, the home advantage might just tip the scales in their favor.

    For those seeking an edge in the market, Brann's win is priced at 2.30 with Unibet, offering a value opportunity given the model's lean towards the hosts. This assessment of value, framed by the numbers, suggests a narrow victory for Brann, perhaps clinching it 2-1, with the under 2.5 goals slightly less enticing due to the balanced offensive capabilities.

    BrannBrann
    Form DW
    League ranking xG #38xGA #2xT #41xP/match #4Points #38
    Key players
    • Felix MyhreCAMxG 0.05 · xT 0.17
    • Bård FinneFxG 0.24 · xT 0.07
    • Sivert NilsenCDMxG 0.00 · xT 0.11
    PAOKPAOK
    Form WLWLL
    Key players
    • Giannis KonstanteliasFxG 0.35 · xT 0.20
    • Theocharis TsingarasCDMxG 0.05 · xT 0.04
    • Andrija ŽivkovićRWxG 0.20 · xT 0.29

    Match prediction: BrannPAOK

    Predicted score matrix

    PAOK
    Brann
    0
    1
    2
    3
    4+
    0
    0–07.0%
    0–18.1%
    0–25.4%
    0–32.3%
    0–4+1.0%
    1
    1–09.2%
    1–112.5%
    1–27.7%
    1–33.3%
    1–4+1.4%
    2
    2–06.9%
    2–18.8%
    2–25.6%
    2–32.4%
    2–4+1.0%
    3
    3–03.3%
    3–14.2%
    3–22.7%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.6%
    4+–12.1%
    4+–21.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-09%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.1-28%
    Expected goals
    1,441,27
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    Over 2,551%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Brann or draw (1X)67%
    • Over 1.5 goals76%

    Combined probability

    51%

    Fair odds

    1.96

    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)67%
    • Over 2.5 goals51%
    • Noah Emmanuel Jean Holm to score27%

    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 score55%
    • Over 2.5 goals51%
    • Noah Emmanuel Jean Holm to score27%
    • Soualiho Meïté to be booked24%

    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

    When goals are scored and conceded 2024
    Brann (21)
    Pass networks

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

    Brann
    Ruben Kristiansen: 173 passningar, xT -0.07KristiansenFredrik Pallesen Knudsen: 126 passningar, xT 0.18KnudsenJoachim Soltvedt: 102 passningar, xT 0.17SoltvedtMathias Dyngeland: 81 passningar, xT 0.09DyngelandEmil Kornvig: 74 passningar, xT 0.03KornvigSvenn Crone: 63 passningar, xT 0.2CroneThore Pedersen: 59 passningar, xT -0.02PedersenNiklas Castro: 47 passningar, xT 0.18CastroMartin Hellan: 27 passningar, xT 0.01HellanFelix Horn Myhre: 24 passningar, xT 0.04MyhreSander Erik Kartum: 16 passningar, xT 0.38Kartum
    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
    Ruben Kristiansen: 173 passningar, xT -0.07KristiansenFredrik Pallesen Knudsen: 126 passningar, xT 0.18KnudsenJoachim Soltvedt: 102 passningar, xT 0.17SoltvedtMathias Dyngeland: 81 passningar, xT 0.09DyngelandEmil Kornvig: 74 passningar, xT 0.03KornvigSvenn Crone: 63 passningar, xT 0.2CroneThore Pedersen: 59 passningar, xT -0.02PedersenNiklas Castro: 47 passningar, xT 0.18CastroMartin Hellan: 27 passningar, xT 0.01HellanFelix Horn Myhre: 24 passningar, xT 0.04MyhreSander Erik Kartum: 16 passningar, xT 0.38Kartum
    The goalkeepersMathias Dyngeland (Brann)PAOK
    Saves7
    Save %88%
    xG prevented99%
    Claims0 (0%)

    Frequently asked questions

    Who wins Brann vs PAOK according to our model?

    The model gives Brann a 43% win probability. Full 1X2 picture: Brann 43%, draw 26%, PAOK 31%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% 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 55% 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.