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    Viktoria PlzeňViktoria PlzeňPossession & high press
    0–3
    Union Saint-GilloiseUnion Saint-Gilloise
    The model's lean: 2 · Union Saint-Gilloise (39%)

    Viktoria Plzeň vs Union Saint-Gilloise · Europa League

    1 · Viktoria Plzeň 35%X 26%39% Union Saint-Gilloise · 2

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    Analysis: Viktoria Plzeň – Union Saint-Gilloise

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

    TEXT: Twelve matches unbeaten in the league is the kind of form Viktoria Plzeň fans will point to with pride. However, the numbers suggest a more balanced story on the European stage. Despite their domestic resilience, the hosts face a capable Union Saint-Gilloise outfit, with the model giving a slight edge to the visitors at 39% probability of victory. The expected goals reflect this tight contest, with Plzeň at 1.35 and Union at 1.51. A razor-thin margin suggests this could easily tip in favor of the Belgian side.

    The model's most likely scorelines highlight both teams finding the net, with a 1-1 draw leading at 12%, followed by a 1-2 victory for the visitors at 9%. Despite Plzeň's unbeaten league streak, breaking down a team that travels well in Europe might prove challenging. The small head-to-head sample, if any, is less critical than the current form and xG data, which paints a picture of a closely-fought match.

    In betting terms, the over 2.5 goals market is a slight favorite at 54%, but both teams to score at 58% might be a sharper pick. Union Saint-Gilloise represents potential value, given their slight modeling advantage and Plzeň's vulnerability against European opposition.

    Viktoria PlzeňViktoria Plzeň
    Form DWDDW
    League ranking xG #1xGA #1xT #1xP/match #1Points #17
    Key players
    • Merchas DoskiLWxG 0.04 · xT 0.10
    • Prince Kwabena AduLWxG 0.08 · xT 0.07
    • Rafiu DurosinmiFxG 0.25 · xT 0.06
    Union Saint-GilloiseUnion Saint-Gilloise
    Form WWLLW
    Key players
    • Mateo BiondicFxG 0.33 · xT 0.15
    • Besfort ZeneliLWxG 0.38 · xT 0.08
    • Kevin Mac AllisterCBxG 0.20 · xT 0.10
    • Numbers from Belgium First Division 2026
    Final score
    0 – 3
    The model called the outcome
    Predicted probabilities: Viktoria Plzeň 35% · Draw 26% · Union Saint-Gilloise 39%

    Match prediction: Viktoria Plzeň – Union Saint-Gilloise

    Predicted score matrix

    Union Saint-Gilloise →
    Viktoria Plzeň →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–18.3%
    0–26.5%
    0–33.3%
    0–4+1.7%
    1
    1–07.4%
    1–112.0%
    1–28.8%
    1–34.4%
    1–4+2.3%
    2
    2–05.2%
    2–17.9%
    2–25.9%
    2–33.0%
    2–4+1.6%
    3
    3–02.3%
    3–13.5%
    3–22.7%
    3–31.3%
    3–4+0.7%
    4+
    4+–01.1%
    4+–11.6%
    4+–21.2%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-18%
    5. 5.1-07%
    Expected goals
    1,35–1,51
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    @2.19
    Over 2,554%
    @1.71

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Union Saint-Gilloise or draw (X2)66%
    • Over 1.5 goals78%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Double chance Union Saint-Gilloise or draw (X2)66%
    • Over 2.5 goals54%
    • Relebohile Mofokeng to score22%

    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 score58%
    • Over 2.5 goals54%
    • Relebohile Mofokeng to score22%
    • Rob Schoofs to be booked21%

    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

    The model's value spots

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

    • 2 · Union Saint-Gilloise39% probability@2.81PinnacleEV+9%reference odds
    Bookmaker1 · Viktoria PlzeňX2 · Union Saint-Gilloise
    Pinnacle2.473.62
    EV+ 9%
    2.81

    Odds updated 17 Sept, 12:20

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 9 September — the odds have shortened from 1.86 to 1.71 (−8%).

    1+2 %
    40 %35 %

    2.43 → 2.47

    X+3 %
    29 %24 %

    3.50 → 3.62

    20 %
    39 %34 %

    2.80 → 2.81

    Over 2,5-8 %
    56 %51 %

    1.86 → 1.71

    Pinnacle · 19 recorded price levels · 09/09/2026 → 17/09/2026 · fixed scale 5 percentage points

    Statistics

    Key facts

    • FC Viktoria Plzen are unbeaten in their last 12 league matches.
    xG & xGA per match — 3-game rolling average

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

    Viktoria Plzeň
    When goals are scored and conceded — 2026
    Viktoria Plzeň (5–1)
    Pass networks

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

    Viktoria Plzeň
    Sampson Kargeoh Dweh Jr.: 55 passningar, xT 0.05Jr.Filip Prebsl: 52 passningar, xT 0.28PrebslPatrik Hrošovský: 50 passningar, xT 0.82HrošovskýMerchas Doski: 47 passningar, xT 0.15DoskiAmar Memic: 42 passningar, xT 0.31MemicKarel Spacil: 41 passningar, xT 0.14SpacilFlorian Wiegele: 37 passningar, xT 0.05WiegeleTomas Ladra: 35 passningar, xT 0.58LadraAlexandr Sojka: 26 passningar, xT 0.14SojkaDenis Visinsky: 20 passningar, xT 0.07VisinskyLukas Cerv: 20 passningar, xT 0.23Cerv
    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.

    Viktoria Plzeň
    Sampson Kargeoh Dweh Jr.: 55 passningar, xT 0.05Jr.Filip Prebsl: 52 passningar, xT 0.28PrebslPatrik Hrošovský: 50 passningar, xT 0.82HrošovskýMerchas Doski: 47 passningar, xT 0.15DoskiAmar Memic: 42 passningar, xT 0.31MemicKarel Spacil: 41 passningar, xT 0.14SpacilFlorian Wiegele: 37 passningar, xT 0.05WiegeleTomas Ladra: 35 passningar, xT 0.58LadraAlexandr Sojka: 26 passningar, xT 0.14SojkaDenis Visinsky: 20 passningar, xT 0.07VisinskyLukas Cerv: 20 passningar, xT 0.23Cerv
    The goalkeepersFlorian Wiegele (Viktoria Plzeň)Union Saint-Gilloise
    Saves1–
    Save %50%–
    xG prevented44%–
    Claims0 (0%)–

    Teams & more matches this round

    Frequently asked questions

    Who wins Viktoria Plzeň vs Union Saint-Gilloise according to our model?

    The model gives Union Saint-Gilloise a 39% win probability. Full 1X2 picture: Viktoria Plzeň 35%, draw 26%, Union Saint-Gilloise 39%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.