EFL ChampionshipLoftus Road, London16°11 km/h

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    Queens Park RangersQueens Park RangersCounter-attacks & crosses
    vs
    Bolton WanderersBolton WanderersPossession control
    The model's lean: 2 · Bolton Wanderers (43%)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    Queens Park RangersBolton Wanderers · EFL Championship

    1 · Queens Park Rangers 33%X 25%43% Bolton Wanderers · 2

    Analysis: Queens Park RangersBolton Wanderers

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

    Queens Park Rangers have been a tricky team to pin down, particularly given their penchant for counter-attacks and effective crosses. Yet, their strategy often leaves them exposed, as evidenced by their expected goals against (xGA) of 1.9 per match. Bolton Wanderers, on the other hand, bring a disciplined approach with their possession-based game, reflected in their more modest xGA of 1.4. Herein lies the tension: Queens Park Rangers' attacking prowess against a Bolton side that knows how to control the tempo of a match.

    Queens Park Rangers may have the edge in xPoints and xG per match, but it's Bolton Wanderers who arrive with a stronger probability to take the three points, sitting at a 43% likelihood according to the model. This contrasts with Queens Park Rangers' 33% chance of victory and reflects Bolton's more efficient defensive structure. Notably, the most likely scorelines are 1-1 and 0-1, indicating a tight contest with limited scoring.

    The weather could play a spoiling role, with 2.5 mm of rain potentially dampening attacking fluidity, further buttressing the model's predilection for a low-scoring encounter. With only a 45% chance for over 2.5 goals and a 50% likelihood for both teams to score, the statistics hint at a game where defences might just have the upper hand.

    Bolton Wanderers are a tempting proposition at 3.8 odds with Bet365, particularly with the model's 43% confidence rating showing a 62% edge. Such value is hard to overlook in a match where they seem tactically primed to exploit Queens Park Rangers’ defensive frailties. Meanwhile, the under 2.5 goals at odds of 1.909 also offers a solid 5% edge, aligning with the expected subdued goal tally.

    In sum, Bolton Wanderers appear set to edge out a narrow victory in a tactical tussle, likely skirting under the 2.5 goals mark. A 0-1 scoreline seems a viable forecast, with the match potentially decided by a solitary moment of quality or error.

    Queens Park RangersQueens Park Rangers
    Form LLLLW
    League ranking xG #5xGA #15xT #8xP/match #7Points #1
    Key players
    • Ilias ChairCAMxG 1.22 · xT 0.40
    • Harvey ValeFxG 0.10 · xT 0.28
    • Jimmy DunneCBxG 0.00 · xT 0.03
    Bolton WanderersBolton Wanderers
    Form W
    League ranking xG #14xGA #13xT #17xP/match #12Points #7

    Match prediction: Queens Park RangersBolton Wanderers

    Predicted score matrix

    Bolton Wanderers
    Queens Park Rangers
    0
    1
    2
    3
    4+
    0
    0–08.8%
    0–111.3%
    0–28.1%
    0–33.7%
    0–4+1.8%
    1
    1–08.8%
    1–113.1%
    1–28.8%
    1–34.1%
    1–4+1.9%
    2
    2–05.0%
    2–16.9%
    2–24.8%
    2–32.2%
    2–4+1.0%
    3
    3–01.8%
    3–12.5%
    3–21.7%
    3–30.8%
    3–4+0.4%
    4+
    4+–00.6%
    4+–10.9%
    4+–20.6%
    4+–30.3%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-111%
    3. 3.0-09%
    4. 4.1-09%
    5. 5.1-29%
    Expected goals
    1,091,38
    Both teams to score
    50%

    Over/under goals

    Expected goals: 2,5
    Under 2,555%
    @1.91EV+5%
    Over 2,545%
    @1.91

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Bolton Wanderers or draw (X2)71%
    • Under 3.5 goals76%

    Combined probability

    54%

    Fair odds

    1.86

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

    02 · 3 legs

    Balanced

    • Double chance Bolton Wanderers or draw (X2)71%
    • Under 2.5 goals55%
    • Samuel George Dalby to score21%

    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 score50%
    • Over 2.5 goals45%
    • Samuel George Dalby to score21%
    • Joshua Luke Sheehan to be booked25%

    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 · Bolton Wanderers43% probability@3.80Bet365EV+62%reference odds
    • Under 2.555% probability@1.91Bet365EV+5%reference odds
    • Under 3.576% probability@1.33Bet365EV+2%reference odds
    Bookmaker1 · Queens Park RangersX2 · Bolton Wanderers
    Bet3651.833.50
    EV+ 62%
    3.80

    Odds updated 15 Aug, 16:23

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Queens Park Rangers
    Bolton Wanderers
    When goals are scored and conceded 2026
    Queens Park Rangers (31)
    Bolton Wanderers (21)
    Pass networks

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

    Queens Park Rangers
    Pierce Joseph Charles: 39 passningar, xT 0.03CharlesJake Clarke Salter: 36 passningar, xT -0.04SalterJimmy Dunne: 34 passningar, xT 0.03DunneRonnie Edwards: 25 passningar, xT 0.01EdwardsKealey Otieno Adamson: 23 passningar, xT 0.02AdamsonIlias Chair: 22 passningar, xT 0.16ChairAmadou Salif Mbengue: 22 passningar, xT 0.18MbengueGlen Adjei Kamara: 22 passningar, xT 0.03KamaraHarvey Vale: 18 passningar, xT 0.29ValePaul Smyth: 11 passningar, xT 0.08SmythKwame Afriyie Adubofour Poku: 8 passningar, xT 0.05Poku
    Bolton Wanderers
    Josh Sheehan: 43 passningar, xT 0.16SheehanMaxwell John Conway: 42 passningar, xT 0.03ConwayAkinlolu Richard Olamide Famewo: 40 passningar, xT 0.06FamewoEthan Erhahon: 38 passningar, xT 0.03ErhahonChris Forino: 34 passningar, xT 0ForinoLuca Stephenson: 33 passningar, xT 0StephensonJack Elliott Bonham: 28 passningar, xT 0.05BonhamGaizka Larrazabal Goikoetxea: 17 passningar, xT 0.01GoikoetxeaThierry Mikael Gale: 16 passningar, xT 0.04GaleJohn George McAtee: 12 passningar, xT 0McAteeSamuel George Dalby: 12 passningar, xT 0Dalby
    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
    Pierce Joseph Charles: 39 passningar, xT 0.03CharlesJake Clarke Salter: 36 passningar, xT -0.04SalterJimmy Dunne: 34 passningar, xT 0.03DunneRonnie Edwards: 25 passningar, xT 0.01EdwardsKealey Otieno Adamson: 23 passningar, xT 0.02AdamsonIlias Chair: 22 passningar, xT 0.16ChairAmadou Salif Mbengue: 22 passningar, xT 0.18MbengueGlen Adjei Kamara: 22 passningar, xT 0.03KamaraHarvey Vale: 18 passningar, xT 0.29ValePaul Smyth: 11 passningar, xT 0.08SmythKwame Afriyie Adubofour Poku: 8 passningar, xT 0.05Poku
    Bolton Wanderers
    Josh Sheehan: 43 passningar, xT 0.16SheehanMaxwell John Conway: 42 passningar, xT 0.03ConwayAkinlolu Richard Olamide Famewo: 40 passningar, xT 0.06FamewoEthan Erhahon: 38 passningar, xT 0.03ErhahonChris Forino: 34 passningar, xT 0ForinoLuca Stephenson: 33 passningar, xT 0StephensonJack Elliott Bonham: 28 passningar, xT 0.05BonhamGaizka Larrazabal Goikoetxea: 17 passningar, xT 0.01GoikoetxeaThierry Mikael Gale: 16 passningar, xT 0.04GaleJohn George McAtee: 12 passningar, xT 0McAteeSamuel George Dalby: 12 passningar, xT 0Dalby

    The teams in numbers

    PerformanceQueens Park RangersBolton Wanderers
    Points33
    xPoints1.51.3
    xG per match21
    xGA per match1.91.4
    xG within 8s of winning the ball0.410.28
    xGA within 8s of losing the ball0.140.13
    Playing styleQueens Park RangersBolton Wanderers
    Build-up efficiency0.30.34
    Field tilt0.430.66
    xT per match1.10.47
    xTA per match1.21.1
    Won balls, offensive half1524
    Pressing intensity0.260.21
    Pressing efficiency0.230.39
    Pressing efficiency, offensive half0.10.38
    Entries into the box per match174
    Entries into the box against1511
    Pass completion %0.720.74
    Pass completion % under pressure0.660.74
    Passes per match272347
    Passes against per match347252
    Switches of play per match26.730.3
    Long balls per match3233
    Set piecesQueens Park RangersBolton Wanderers
    xG from free kicks0.020
    Corners per match2.95.2
    Corners against per match5.72.1
    xG per corner0.10.06
    xGA per corner against0.050.01
    First touch, offensive corners %10.2
    First touch, defensive corners %0.670.5
    OtherQueens Park RangersBolton Wanderers
    Throw-in control0.670.68
    The goalkeepersPierce Joseph Charles (Queens Park Rangers)Jack Elliott Bonham (Bolton Wanderers)
    Saves52
    Save %83%67%
    xG prevented98%46%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Queens Park Rangers vs Bolton Wanderers according to our model?

    The model gives Bolton Wanderers a 43% win probability. Full 1X2 picture: Queens Park Rangers 33%, draw 25%, Bolton Wanderers 43%.

    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 45% and under at 55%.

    Will both teams score?

    The probability of both teams scoring is 50% 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.