Czech First League15°5,9 mm16 km/h

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    Viktoria PlzeňViktoria PlzeňBalanced & physical
    vs
    Sigma OlomoucSigma OlomoucPossession control
    The model's lean: 1 · Viktoria Plzeň (59%)

    Viktoria PlzeňSigma Olomouc · Czech First League

    1 · Viktoria Plzeň 59%X 22%18% Sigma Olomouc · 2

    Analysis: Viktoria PlzeňSigma Olomouc

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The 59% over 2.5 goals probability is attributed to "Bet365," but no such source appears in the facts—this is an unsupported claim. Corrected text:

    Viktoria Plzeň's remarkable dominance in recent head-to-head clashes against Sigma Olomouc adds intrigue to this contest. With four wins in their last five meetings, Plzeň clearly holds the upper hand, though the sample is admittedly small. Yet, when we look at the current season's form, the numbers tell a more nuanced story. While Sigma leads in points, Plzeň edges them out in expected points and expected goals. This suggests a balancing act between actual results and underlying performance metrics.

    The model gives Plzeň a 59% chance of victory at home, in line with their all-time home win rate of 60%. Notably, they remain unbeaten in their last six league outings, a testament to their consistency. However, Sigma isn't to be underestimated, having collected more points so far this season. Their possession-based style might pose a challenge to Plzeň's balanced and physical approach, especially in conditions likely to dampen goal-scoring opportunities. Expected rainfall could further level the playing field, affecting both teams' dynamics and potentially keeping the scoreline tight.

    Interestingly, the expected goals suggest a close match, with Plzeň at 1.87 and Sigma at 1.18. Yet, the likelihood of both teams finding the net is pegged at 59%. This hints at a probable scenario where defensive lapses on either side could be punished. The rain, however, may act as a dampener, justifying the model's moderate 59% lean towards over 2.5 goals.

    The most likely scorelines are 1-1 and 2-1, reflecting the delicate balance between the two sides. While Plzeň is the favorite, the odds indicate potential value in betting on Sigma to win at 18%. Despite being outsiders, their current form means they shouldn't be written off entirely.

    For those seeking a betting angle, the 59% over 2.5 goals probability might be worth exploring. With conditions factored in, this represents a subtle yet intriguing opportunity in a closely poised matchup.

    Viktoria PlzeňViktoria Plzeň
    Form DWDWD
    League ranking xG #6xGA #5xT #4xP/match #7Points #9
    Key players
    • Prince Kwabena AduFxG 0.75 · xT 0.10
    • Amar MemicRWxG 0.16 · xT 0.21
    • Sampson Kargeoh Dweh Jr.CBxG 0.06 · xT 0.12
    Sigma OlomoucSigma Olomouc
    Form WWWLW
    League ranking xG #8xGA #2xT #14xP/match #11Points #4
    Key players
    • Dominik JanosekCMxG 0.11 · xT 0.06
    • Ahmad GhaliRWxG 0.14 · xT 0.12
    • Michal BeranCMxG 0.11 · xT 0.10

    Match prediction: Viktoria PlzeňSigma Olomouc

    Predicted score matrix

    Sigma Olomouc
    Viktoria Plzeň
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–15.3%
    0–23.3%
    0–31.3%
    0–4+0.5%
    1
    1–08.6%
    1–110.8%
    1–26.2%
    1–32.4%
    1–4+0.9%
    2
    2–08.3%
    2–19.8%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.1%
    3–16.1%
    3–23.6%
    3–31.4%
    3–4+0.5%
    4+
    4+–03.7%
    4+–14.3%
    4+–22.6%
    4+–31.0%
    4+–4+0.4%
    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. 4.2-08%
    5. 5.1-26%
    Expected goals
    1,871,18
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.05
    Over 2,559%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Viktoria Plzeň to win59%
    • Over 1.5 goals81%

    Combined probability

    44%

    Fair odds

    2.25

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

    02 · 3 legs

    Balanced

    • Viktoria Plzeň to win59%
    • Over 2.5 goals59%
    • Alexandr Sojka to score29%

    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 score59%
    • Over 2.5 goals59%
    • Alexandr Sojka to score29%
    • Péter Baráth 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

    Bookmaker1 · Viktoria PlzeňX2 · Sigma Olomouc
    Betsafe1.583.854.90
    Betsson1.583.854.90
    Nordicbet1.583.854.90

    Odds updated 9 Sept, 23:37

    Odds movement

    1-4 %
    59 %54 %

    1.651.58

    X+3 %
    27 %22 %

    3.753.85

    2+9 %
    22 %17 %

    4.504.90

    Over 2,5+1 %
    57 %52 %

    1.681.70

    Betsson · 4 recorded price levels · 06/09/2026 → 09/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Viktoria Plzeň 4Draw 0Sigma Olomouc 1
    Goals: 85 (⌀ 2,6)

    Head-to-head based on Czech First League data since 2023.

    Key facts

    • FC Viktoria Plzen dominate this fixture historically: 4 wins to 1 in 5 meetings.
    • FC Viktoria Plzen are unbeaten in their last 6 league matches.
    • FC Viktoria Plzen win 60% of their home matches all-time (40 played).
    xG & xGA per match — 3-game rolling average

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

    Viktoria Plzeň
    Sigma Olomouc
    When goals are scored and conceded 2026
    Viktoria Plzeň (1412)
    Sigma Olomouc (138)
    Pass networks

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

    Viktoria Plzeň
    Sampson Kargeoh Dweh Jr.: 339 passningar, xT 0.68Jr.Patrik Hrošovský: 188 passningar, xT 0.57HrošovskýLukas Cerv: 185 passningar, xT 0.25CervMerchas Doski: 163 passningar, xT 0.32DoskiFlorian Wiegele: 138 passningar, xT 0.15WiegeleFilip Prebsl: 130 passningar, xT 0.14PrebslAmar Memic: 123 passningar, xT 0.95MemicKarel Spacil: 107 passningar, xT 0.11SpacilDenis Vavro: 100 passningar, xT 0.12VavroCheick Souare: 90 passningar, xT 0.76SouareDenis Visinsky: 60 passningar, xT 0.17Visinsky
    Sigma Olomouc
    Michal Beran: 316 passningar, xT 0.33BeranMatus Maly: 281 passningar, xT 0.37MalyLouis Lurvink: 260 passningar, xT 0.38LurvinkPéter Baráth: 224 passningar, xT 0.09BaráthAbdoulaye Sylla: 222 passningar, xT 1.03SyllaDominik Janosek: 215 passningar, xT 0.21JanosekAhmad Ghali: 161 passningar, xT 0.28GhaliJan Koutny: 120 passningar, xT 0.11KoutnyAnton Noah Christian Ekeroth: 89 passningar, xT 0.43EkerothVáclav Sejk: 67 passningar, xT 0.33SejkFabijan Krivak: 63 passningar, xT 0.26Krivak
    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.: 339 passningar, xT 0.68Jr.Patrik Hrošovský: 188 passningar, xT 0.57HrošovskýLukas Cerv: 185 passningar, xT 0.25CervMerchas Doski: 163 passningar, xT 0.32DoskiFlorian Wiegele: 138 passningar, xT 0.15WiegeleFilip Prebsl: 130 passningar, xT 0.14PrebslAmar Memic: 123 passningar, xT 0.95MemicKarel Spacil: 107 passningar, xT 0.11SpacilDenis Vavro: 100 passningar, xT 0.12VavroCheick Souare: 90 passningar, xT 0.76SouareDenis Visinsky: 60 passningar, xT 0.17Visinsky
    Sigma Olomouc
    Michal Beran: 316 passningar, xT 0.33BeranMatus Maly: 281 passningar, xT 0.37MalyLouis Lurvink: 260 passningar, xT 0.38LurvinkPéter Baráth: 224 passningar, xT 0.09BaráthAbdoulaye Sylla: 222 passningar, xT 1.03SyllaDominik Janosek: 215 passningar, xT 0.21JanosekAhmad Ghali: 161 passningar, xT 0.28GhaliJan Koutny: 120 passningar, xT 0.11KoutnyAnton Noah Christian Ekeroth: 89 passningar, xT 0.43EkerothVáclav Sejk: 67 passningar, xT 0.33SejkFabijan Krivak: 63 passningar, xT 0.26Krivak

    The teams in numbers

    PerformanceViktoria PlzeňSigma Olomouc
    Points1013
    xPoints10.49.6
    xG per match1.41.2
    xGA per match1.10.97
    xG within 8s of winning the ball0.170.26
    xGA within 8s of losing the ball0.140.12
    Playing styleViktoria PlzeňSigma Olomouc
    Build-up efficiency0.330.32
    Field tilt0.560.54
    xT per match1.20.91
    xTA per match0.710.87
    Won balls, offensive half2119
    Pressing intensity0.220.23
    Pressing efficiency0.30.32
    Pressing efficiency, offensive half0.250.26
    Entries into the box per match1310
    Entries into the box against129
    Pass completion %0.780.81
    Pass completion % under pressure0.740.77
    Passes per match390427
    Passes against per match296288
    Switches of play per match2824.5
    Long balls per match3332
    Set piecesViktoria PlzeňSigma Olomouc
    xG from free kicks0.10.14
    Corners per match3.94.5
    Corners against per match4.64.5
    xG per corner0.010.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.440.61
    First touch, defensive corners %0.50.58
    OtherViktoria PlzeňSigma Olomouc
    Throw-in control0.770.74
    The goalkeepersFlorian Wiegele (Viktoria Plzeň)Jan Koutny (Sigma Olomouc)
    Saves2118
    Save %66%69%
    xG prevented49%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Viktoria Plzeň vs Sigma Olomouc according to our model?

    The model gives Viktoria Plzeň a 59% win probability. Full 1X2 picture: Viktoria Plzeň 59%, draw 22%, Sigma Olomouc 18%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.