EFL ChampionshipLoftus Road, London15°7,2 mm15 km/h

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    Queens Park RangersQueens Park RangersPossession & high press
    vs
    Preston North EndPreston North EndLow block & direct
    The model's lean: 1 · Queens Park Rangers (59%)

    Queens Park RangersPreston North End · EFL Championship

    1 · Queens Park Rangers 59%X 24%17% Preston North End · 2

    Analysis: Queens Park RangersPreston North End

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Queens Park Rangers' relentless high press and possession-based approach sets the stage as they host a defensively-minded Preston North End at Loftus Road. The numbers tell a compelling story: with an expected goals tally of 1.98, QPR's attacking machinery is geared to exploit Preston's vulnerabilities, especially given the visitors' less robust expected goals against figure of 1.3. The hosts’ strategy is clear — maintain pressure, force errors, and capitalize with precision.

    QPR’s recent head-to-head dominance over Preston — two wins and two draws since 2023 — further strengthens their case, even though the sample is limited. However, it's their current form and statistical edge that carry more weight. The model gives the hosts a 59% probability of victory, pointing to a solid home performance. The most likely scorelines of 2-0 and 1-0 underline a scenario where QPR stifles Preston's direct play, limiting their offensive output to a mere 0.92 expected goals.

    Preston's defensive setup aims to frustrate, but their low block will be tested against a side that thrives on high-intensity pressing and quick transitions. While the visitors have struggled, with just three points and a limited offensive threat, their direct approach could catch QPR off guard if the hosts overcommit. Yet, the model leans heavily towards a QPR victory, confirming their superiority in both points and expected points.

    With a 55% chance of over 2.5 goals, the model anticipates a few goals, but QPR's firm grip on the game could see them manage the scoreline efficiently. It's a reflection of the hosts’ form and tactical coherence, suggesting a controlled 2-0 win is on the cards.

    Queens Park RangersQueens Park Rangers
    Form DWWLD
    League ranking xG #8xGA #3xT #4xP/match #4Points #5
    Key players
    • Alfie LloydFxG 0.44 · xT -0.01
    • Ilias ChairLWxG 0.54 · xT 0.34
    • Harvey ValeRWxG 0.24 · xT 0.19
    Preston North EndPreston North End
    Form LLLWL
    League ranking xG #11xGA #9xT #9xP/match #12Points #24
    Key players
    • Alfie Sean DevineRWxG 0.11 · xT 0.15
    • Liam LindsayCBxG 0.13 · xT 0.04
    • Odeluga Joshua OffiahCBxG 0.00 · xT 0.17

    Match prediction: Queens Park RangersPreston North End

    Predicted score matrix

    Preston North End
    Queens Park Rangers
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–14.8%
    0–22.3%
    0–30.7%
    0–4+0.2%
    1
    1–010.6%
    1–110.3%
    1–24.6%
    1–31.4%
    1–4+0.4%
    2
    2–010.8%
    2–19.9%
    2–24.6%
    2–31.4%
    2–4+0.4%
    3
    3–07.1%
    3–16.6%
    3–23.0%
    3–30.9%
    3–4+0.3%
    4+
    4+–05.5%
    4+–15.1%
    4+–22.4%
    4+–30.7%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-011%
    3. 3.1-110%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    1,980,92
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    Over 2,555%

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Queens Park Rangers to win59%
    • Over 1.5 goals79%

    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

    • Queens Park Rangers to win59%
    • Over 2.5 goals55%
    • Ilias Emilian Chair to score35%

    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 score52%
    • Over 2.5 goals55%
    • Ilias Emilian Chair to score35%
    • Jordan Andrew Thompson 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

    No odds available yet.

    Statistics

    Head-to-head

    4 matches
    Queens Park Rangers 2Draw 2Preston North End 0
    Goals: 64 (⌀ 2,5)

    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
    Preston North End
    When goals are scored and conceded 2026
    Queens Park Rangers (74)
    Preston North End (612)
    Pass networks

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

    Queens Park Rangers
    Jimmy Dunne: 251 passningar, xT 0.09DunneRonnie Edwards: 236 passningar, xT 0.53EdwardsPierce Joseph Charles: 211 passningar, xT 0.34CharlesJake Clarke Salter: 204 passningar, xT 0.21SalterNicolas Madsen: 176 passningar, xT 0.19MadsenGlen Adjei Kamara: 162 passningar, xT 0.25KamaraHarvey Vale: 128 passningar, xT 0.54ValeAmadou Salif Mbengue: 105 passningar, xT 0.14MbengueTariq Kwame Nii-Lante Lamptey: 93 passningar, xT 0.66LampteyKealey Otieno Adamson: 92 passningar, xT 0.27AdamsonDennis Cirkin: 83 passningar, xT 0.55Cirkin
    Preston North End
    Lewis Gibson: 146 passningar, xT 0.33GibsonHarry Clarke: 141 passningar, xT 0.81ClarkeAlfie Sean Devine: 137 passningar, xT 0.61DevineLéo Patrick Pierre Leroy: 124 passningar, xT 0.19LeroyLiam Lindsay: 107 passningar, xT 0.04LindsayDaniel Lønne Iversen: 105 passningar, xT 0.19IversenJordan Thompson: 102 passningar, xT 0.57ThompsonJordan Storey: 86 passningar, xT 0.11StoreyOdeluga Joshua Offiah: 67 passningar, xT 0.38OffiahDelano Burgzorg: 48 passningar, xT 0.04BurgzorgAndrew Hughes: 47 passningar, xT 0.06Hughes
    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
    Jimmy Dunne: 251 passningar, xT 0.09DunneRonnie Edwards: 236 passningar, xT 0.53EdwardsPierce Joseph Charles: 211 passningar, xT 0.34CharlesJake Clarke Salter: 204 passningar, xT 0.21SalterNicolas Madsen: 176 passningar, xT 0.19MadsenGlen Adjei Kamara: 162 passningar, xT 0.25KamaraHarvey Vale: 128 passningar, xT 0.54ValeAmadou Salif Mbengue: 105 passningar, xT 0.14MbengueTariq Kwame Nii-Lante Lamptey: 93 passningar, xT 0.66LampteyKealey Otieno Adamson: 92 passningar, xT 0.27AdamsonDennis Cirkin: 83 passningar, xT 0.55Cirkin
    Preston North End
    Lewis Gibson: 146 passningar, xT 0.33GibsonHarry Clarke: 141 passningar, xT 0.81ClarkeAlfie Sean Devine: 137 passningar, xT 0.61DevineLéo Patrick Pierre Leroy: 124 passningar, xT 0.19LeroyLiam Lindsay: 107 passningar, xT 0.04LindsayDaniel Lønne Iversen: 105 passningar, xT 0.19IversenJordan Thompson: 102 passningar, xT 0.57ThompsonJordan Storey: 86 passningar, xT 0.11StoreyOdeluga Joshua Offiah: 67 passningar, xT 0.38OffiahDelano Burgzorg: 48 passningar, xT 0.04BurgzorgAndrew Hughes: 47 passningar, xT 0.06Hughes

    The teams in numbers

    PerformanceQueens Park RangersPreston North End
    Points113
    xPoints10.38.5
    xG per match1.71.4
    xGA per match1.11.3
    xG within 8s of winning the ball0.310.2
    xGA within 8s of losing the ball0.10.19
    Playing styleQueens Park RangersPreston North End
    Build-up efficiency0.30.31
    Field tilt0.580.42
    xT per match1.21
    xTA per match1.10.78
    Won balls, offensive half2325
    Pressing intensity0.240.23
    Pressing efficiency0.250.29
    Pressing efficiency, offensive half0.210.27
    Entries into the box per match1612
    Entries into the box against1010
    Pass completion %0.780.69
    Pass completion % under pressure0.720.66
    Passes per match389265
    Passes against per match374387
    Switches of play per match25.917.7
    Long balls per match3325
    Set piecesQueens Park RangersPreston North End
    xG from free kicks0.070.12
    Corners per match73.9
    Corners against per match3.85.2
    xG per corner0.020.06
    xGA per corner against0.030.02
    First touch, offensive corners %0.360.43
    First touch, defensive corners %0.740.77
    OtherQueens Park RangersPreston North End
    Throw-in control0.740.66
    The goalkeepersPierce Joseph Charles (Queens Park Rangers)Daniel Lønne Iversen (Preston North End)
    Saves1418
    Save %78%62%
    xG prevented63%32%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Queens Park Rangers vs Preston North End according to our model?

    The model gives Queens Park Rangers a 59% win probability. Full 1X2 picture: Queens Park Rangers 59%, draw 24%, Preston North End 17%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.