EFL ChampionshipLoftus Road, London19°23 km/h

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    Queens Park RangersQueens Park RangersCounter-attacks & crosses
    vs
    Cardiff CityCardiff CityPossession control
    The model's lean: 2 · Cardiff City (43%)

    Queens Park RangersCardiff City · EFL Championship

    1 · Queens Park Rangers 32%X 26%43% Cardiff City · 2

    Analysis: Queens Park RangersCardiff City

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

    TEXT: Cardiff City's 43% win probability stands out, suggesting the visitors are more likely to take the spoils. Despite Queens Park Rangers' superior points tally and marginally better recent head-to-head showing, the model leans towards Cardiff. The expected goals figures confirm a tight contest: QPR at 1.30 and Cardiff at 1.60. This hints at a narrow edge for the visitors, likely due to their control-based style overpowering QPR's counter-attacks.

    The over 2.5 goals probability of 56% and a 58% chance for both teams to score indicate an expectation for goals. However, the most likely scorelines—1-1 (12%), 1-2 (9%), and 0-1 (8%)—suggest a closely fought battle with Cardiff having the upper hand. The small head-to-head sample since 2023, with QPR unbeaten in two matches, carries less weight than these form dynamics and expected goal metrics.

    While QPR boasts a tighter defense with 1.0 xGA per match compared to Cardiff's 1.4, the visitors' offensive edge might just tip the balance. The data points towards Cardiff sneaking a win, leaning towards a 1-2 scoreline, with a slight preference for over 2.5 goals.

    Queens Park RangersQueens Park Rangers
    Form LLWDW
    League ranking xG #7xGA #3xT #2xP/match #2Points #3
    Key players
    • Harvey ValeFxG 0.22 · xT 0.18
    • Jimmy DunneCBxG 0.04 · xT -0.09
    • Ilias ChairCAMxG 0.68 · xT 0.45
    Cardiff CityCardiff City
    Form DLDDD
    League ranking xG #5xGA #12xT #10xP/match #13Points #14
    Key players
    • Joel Matthew BaganCBxG 0.00 · xT 0.11
    • Rubin James ColwillRWxG 0.20 · xT -0.19
    • Alexander Sean Pablo RobertsonCMxG 0.06 · xT 0.06

    Match prediction: Queens Park RangersCardiff City

    Predicted score matrix

    Cardiff City
    Queens Park Rangers
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–18.4%
    0–27.0%
    0–33.8%
    0–4+2.2%
    1
    1–06.8%
    1–111.8%
    1–29.2%
    1–34.9%
    1–4+2.8%
    2
    2–04.6%
    2–17.4%
    2–26.0%
    2–33.2%
    2–4+1.8%
    3
    3–02.0%
    3–13.2%
    3–22.6%
    3–31.4%
    3–4+0.8%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.1%
    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. 4.2-17%
    5. 5.0-27%
    Expected goals
    1,301,60
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.20
    Over 2,556%
    @2.00EV+11%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Cardiff City or draw (X2)69%
    • Over 1.5 goals79%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • Double chance Cardiff City or draw (X2)69%
    • Over 2.5 goals56%
    • Christopher Anthony Willock to score20%

    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 goals56%
    • Christopher Anthony Willock to score20%
    • Jonathan Raymond François Varane to be booked23%

    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 · Cardiff City43% probability@3.60Bet365EV+54%reference odds
    • 2 · Cardiff City43% probability@3.47PinnacleEV+48%reference odds
    • Over 2.556% probability@2.00Bet365EV+11%reference odds
    Bookmaker1 · Queens Park RangersX2 · Cardiff City
    Bet3651.903.50
    EV+ 54%
    3.60
    Pinnacle1.93
    EV+ 2%
    3.99
    EV+ 48%
    3.47

    Odds updated 1 Sept, 14:31

    Odds movement

    Market signal

    The market has moved clearly towards over 2.5 goals since 30 August — the odds have shortened from 1.83 to 1.69 (−8%).

    10 %
    55 %45 %

    1.931.93

    X+2 %
    29 %19 %

    3.933.99

    2-2 %
    32 %22 %

    3.553.47

    Over 2,5-8 %
    60 %50 %

    1.831.69

    Pinnacle · 10 recorded price levels · 30/08/2026 → 01/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Queens Park Rangers 1Draw 1Cardiff City 0
    Goals: 20 (⌀ 1)

    Head-to-head based on Championship data since 2023.

    xG & xGA per match — 3-game rolling average

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

    Queens Park Rangers
    Cardiff City
    When goals are scored and conceded 2026
    Queens Park Rangers (52)
    Cardiff City (55)
    Pass networks

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

    Queens Park Rangers
    Jake Clarke Salter: 155 passningar, xT 0.06SalterJimmy Dunne: 149 passningar, xT -0.14DunnePierce Joseph Charles: 147 passningar, xT 0.2CharlesRonnie Edwards: 101 passningar, xT 0.45EdwardsIlias Chair: 97 passningar, xT 0.6ChairAmadou Salif Mbengue: 63 passningar, xT 0.26MbengueKealey Otieno Adamson: 52 passningar, xT 0.23AdamsonGlen Adjei Kamara: 51 passningar, xT 0.07KamaraHarvey Vale: 49 passningar, xT 0.33ValeTariq Kwame Nii-Lante Lamptey: 41 passningar, xT 0.54LampteyNicolas Madsen: 32 passningar, xT -0.01Madsen
    Cardiff City
    Joel Matthew Bagan: 229 passningar, xT 0.43BaganAlexander Sean Pablo Robertson: 192 passningar, xT 0.21RobertsonPerry Tian Hee Ng: 163 passningar, xT 0.42NgGabriel Jeremiah Adedayo Osho: 116 passningar, xT 0.24OshoNathan Wallace Newman Trott: 100 passningar, xT 0.13TrottCalum Alexander Scanlon: 93 passningar, xT 0.35ScanlonKrystian Bielik: 71 passningar, xT 0.13BielikRubin James Colwill: 70 passningar, xT -0.18ColwillCian Ty Ashford: 65 passningar, xT 0AshfordRonan Kpakio: 59 passningar, xT 0.28KpakioJack Moylan: 49 passningar, xT 0.26Moylan
    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.

    Queens Park Rangers
    Jake Clarke Salter: 155 passningar, xT 0.06SalterJimmy Dunne: 149 passningar, xT -0.14DunnePierce Joseph Charles: 147 passningar, xT 0.2CharlesRonnie Edwards: 101 passningar, xT 0.45EdwardsIlias Chair: 97 passningar, xT 0.6ChairAmadou Salif Mbengue: 63 passningar, xT 0.26MbengueKealey Otieno Adamson: 52 passningar, xT 0.23AdamsonGlen Adjei Kamara: 51 passningar, xT 0.07KamaraHarvey Vale: 49 passningar, xT 0.33ValeTariq Kwame Nii-Lante Lamptey: 41 passningar, xT 0.54LampteyNicolas Madsen: 32 passningar, xT -0.01Madsen
    Cardiff City
    Joel Matthew Bagan: 229 passningar, xT 0.43BaganAlexander Sean Pablo Robertson: 192 passningar, xT 0.21RobertsonPerry Tian Hee Ng: 163 passningar, xT 0.42NgGabriel Jeremiah Adedayo Osho: 116 passningar, xT 0.24OshoNathan Wallace Newman Trott: 100 passningar, xT 0.13TrottCalum Alexander Scanlon: 93 passningar, xT 0.35ScanlonKrystian Bielik: 71 passningar, xT 0.13BielikRubin James Colwill: 70 passningar, xT -0.18ColwillCian Ty Ashford: 65 passningar, xT 0AshfordRonan Kpakio: 59 passningar, xT 0.28KpakioJack Moylan: 49 passningar, xT 0.26Moylan

    The teams in numbers

    PerformanceQueens Park RangersCardiff City
    Points73
    xPoints5.83.9
    xG per match1.92
    xGA per match11.4
    xG within 8s of winning the ball0.220.2
    xGA within 8s of losing the ball0.060.15
    Playing styleQueens Park RangersCardiff City
    Build-up efficiency0.30.33
    Field tilt0.520.68
    xT per match1.51.1
    xTA per match1.10.76
    Won balls, offensive half2621
    Pressing intensity0.240.25
    Pressing efficiency0.260.33
    Pressing efficiency, offensive half0.210.23
    Entries into the box per match1614
    Entries into the box against1113
    Pass completion %0.760.79
    Pass completion % under pressure0.70.75
    Passes per match356454
    Passes against per match382198
    Switches of play per match25.539.7
    Long balls per match3241
    Set piecesQueens Park RangersCardiff City
    xG from free kicks0.070.02
    Corners per match59.5
    Corners against per match3.65.9
    xG per corner0.040.07
    xGA per corner against0.030.03
    First touch, offensive corners %0.330.21
    First touch, defensive corners %0.820.83
    OtherQueens Park RangersCardiff City
    Throw-in control0.70.85
    The goalkeepersPierce Joseph Charles (Queens Park Rangers)Nathan Wallace Newman Trott (Cardiff City)
    Saves614
    Save %75%74%
    xG prevented88%52%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Queens Park Rangers vs Cardiff City according to our model?

    The model gives Cardiff City a 43% win probability. Full 1X2 picture: Queens Park Rangers 32%, draw 26%, Cardiff City 43%.

    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 56% and under at 44%.

    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.