EFL ChampionshipFratton Park, Portsmouth24°0,2 mm17 km/h

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    PortsmouthPortsmouthPossession control
    1–3
    Queens Park RangersQueens Park RangersPossession control
    The model's lean: 1 · Portsmouth (44%)

    Portsmouth vs Queens Park Rangers · EFL Championship

    1 · Portsmouth 44%X 28%28% Queens Park Rangers · 2

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    Analysis: Portsmouth – Queens Park Rangers

    Anna Karlsson · · A data-driven preview · How the predictions work

    Portsmouth's knack for finding the net in nine straight league games is likely to clash headlong with Queens Park Rangers' alarming slump of four consecutive losses. The south coast side seems to have the upper hand, both in momentum and model probability, with a 44% chance of taking the spoils. A small head-to-head sample reveals a slight Portsmouth dominance with two wins, one draw, and one loss, but this weighs less than the current form and expected goals.

    Queens Park Rangers might be clinging to a slender points lead in the standings, but their underlying numbers tell a different story. xPoints nudge in their favour, but it's a nominal edge when they've mirrored Portsmouth's xGA per match at 1.3. Both teams exhibit a possession control style, which could result in a tactical standoff, particularly with rain and strong wind already factored into the model, likely suppressing goal-scoring opportunities.

    Portsmouth is eyeing a 1-0 scoreline as the second most likely outcome at 11%, just behind the 13% probability of a 1-1 draw. Queens Park Rangers' 0-1 victory lurks at 9%, but their form does little to inspire confidence. The expected goals suggest a tight affair, with Portsmouth at 1.33 and their visitors at 1.10, hinting that the defensive frailties might not fully tilt the balance.

    Given the 44% chance of over 2.5 goals, the lean towards under looks stronger, especially with Pinnacle offering 1.862 odds, which the model sees as a 5% value edge. However, for those looking to back Portsmouth at home, Pinnacle again presents value at odds of 2.39, aligning with a 5% edge according to the model's 44% win probability. While the game might not promise fireworks, the betting angles are sharp, and Portsmouth's recent form suggests they might just nick it.

    PortsmouthPortsmouth
    Form WWLWD
    League ranking xG #11xGA #7xT #22xP/match #11Points #18
    Key players
    • Colby BishopFxG 0.29 · xT 0.00
    • Andre DozzellCMxG 0.02 · xT 0.06
    • Marlon PackCDMxG 0.12 · xT 0.09
    Queens Park RangersQueens Park Rangers
    Form DLLLL
    League ranking xG #10xGA #9xT #13xP/match #8Points #15
    Key players
    • Richard KoneFxG 0.34 · xT 0.02
    • Nicolas MadsenCMxG 0.11 · xT 0.11
    • Ronnie EdwardsCBxG 0.07 · xT 0.09
    Final score
    1 – 3
    The model missed the outcome
    Predicted probabilities: Portsmouth 44% · Draw 28% · Queens Park Rangers 28%

    Match prediction: Portsmouth – Queens Park Rangers

    Predicted score matrix

    Queens Park Rangers →
    Portsmouth →
    0
    1
    2
    3
    4+
    0
    0–09.2%
    0–19.3%
    0–25.3%
    0–31.9%
    0–4+0.7%
    1
    1–011.4%
    1–113.3%
    1–27.1%
    1–32.6%
    1–4+0.9%
    2
    2–07.8%
    2–18.6%
    2–24.7%
    2–31.7%
    2–4+0.6%
    3
    3–03.5%
    3–13.8%
    3–22.1%
    3–30.8%
    3–4+0.3%
    4+
    4+–01.5%
    4+–11.7%
    4+–20.9%
    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. 2.1-011%
    3. 3.0-19%
    4. 4.0-09%
    5. 5.2-19%
    Expected goals
    1,33–1,10
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,4
    Under 2,556%
    @1.73
    Over 2,544%
    @2.18

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Portsmouth or draw (1X)70%
    • Under 3.5 goals77%

    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 Portsmouth or draw (1X)70%
    • Under 2.5 goals56%
    • Adrian Segecic to score31%

    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 score49%
    • Over 2.5 goals44%
    • Adrian Segecic to score31%
    • Luke Gareth Le Roux 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

    The model's value spots

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

    • 1 · Portsmouth44% probability@2.50PinnacleEV+10%reference odds
    Bookmaker1 · PortsmouthX2 · Queens Park Rangers
    Pinnacle
    EV+ 10%
    2.50
    3.263.02

    Odds updated 15 Aug, 10:22

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 11 August — the odds have shortened from 1.88 to 1.73 (−8%).

    1+7 %
    42 %37 %

    2.33 → 2.50

    X-3 %
    32 %27 %

    3.35 → 3.26

    2-2 %
    34 %29 %

    3.08 → 3.02

    Over 2,5+12 %
    49 %44 %

    1.94 → 2.18

    Pinnacle · 10 recorded price levels · 11/08/2026 → 15/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Portsmouth 2Draw 1Queens Park Rangers 1
    Goals: 6–9 (⌀ 3,8)

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

    Key facts

    • Portsmouth have scored in 9 consecutive league matches.
    • Queens Park Rangers have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Portsmouth
    Queens Park Rangers
    When goals are scored and conceded — 2025
    Portsmouth (49–64)
    Queens Park Rangers (61–73)
    Pass networks

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

    Portsmouth
    Andre Dozzell: 125 passningar, xT 0.33DozzellJordan Williams: 97 passningar, xT 0.17WilliamsConnor Ogilvie: 76 passningar, xT 0.08OgilvieConor Shaughnessy: 69 passningar, xT 0.05ShaughnessyRegan Poole: 68 passningar, xT 0.07PooleMarlon Pack: 65 passningar, xT 0.21PackLuke Gareth Le Roux: 64 passningar, xT 0.01RouxJohn Swift: 60 passningar, xT 0.05SwiftAdrian Segecic: 59 passningar, xT -0.01SegecicNicolas Schmid: 54 passningar, xT 0.17SchmidIbane Bowat: 53 passningar, xT 0.07Bowat
    Queens Park Rangers
    Ronnie Edwards: 293 passningar, xT 0.63EdwardsRhys Norrington Davies: 177 passningar, xT 0.43DaviesKieran Morgan: 162 passningar, xT 0.36MorganJake Clarke Salter: 134 passningar, xT 0.38SalterHarvey Vale: 132 passningar, xT 0.81ValeJonathan Varane: 107 passningar, xT 0.2VaraneAmadou Salif Mbengue: 106 passningar, xT 0.2MbengueJoe Walsh: 105 passningar, xT 0.07WalshIlias Chair: 70 passningar, xT 0.1ChairKealey Otieno Adamson: 66 passningar, xT -0.07AdamsonSteve Cook: 63 passningar, xT 0.07Cook
    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.

    Portsmouth
    Andre Dozzell: 125 passningar, xT 0.33DozzellJordan Williams: 97 passningar, xT 0.17WilliamsConnor Ogilvie: 76 passningar, xT 0.08OgilvieConor Shaughnessy: 69 passningar, xT 0.05ShaughnessyRegan Poole: 68 passningar, xT 0.07PooleMarlon Pack: 65 passningar, xT 0.21PackLuke Gareth Le Roux: 64 passningar, xT 0.01RouxJohn Swift: 60 passningar, xT 0.05SwiftAdrian Segecic: 59 passningar, xT -0.01SegecicNicolas Schmid: 54 passningar, xT 0.17SchmidIbane Bowat: 53 passningar, xT 0.07Bowat
    Queens Park Rangers
    Ronnie Edwards: 293 passningar, xT 0.63EdwardsRhys Norrington Davies: 177 passningar, xT 0.43DaviesKieran Morgan: 162 passningar, xT 0.36MorganJake Clarke Salter: 134 passningar, xT 0.38SalterHarvey Vale: 132 passningar, xT 0.81ValeJonathan Varane: 107 passningar, xT 0.2VaraneAmadou Salif Mbengue: 106 passningar, xT 0.2MbengueJoe Walsh: 105 passningar, xT 0.07WalshIlias Chair: 70 passningar, xT 0.1ChairKealey Otieno Adamson: 66 passningar, xT -0.07AdamsonSteve Cook: 63 passningar, xT 0.07Cook

    The teams in numbers

    PerformancePortsmouthQueens Park Rangers
    Points5558
    xPoints65.366.4
    xG per match1.31.3
    xGA per match1.31.3
    xG within 8s of winning the ball0.180.21
    xGA within 8s of losing the ball0.210.24
    Playing stylePortsmouthQueens Park Rangers
    Build-up efficiency0.340.3
    Field tilt0.510.47
    xT per match0.740.88
    xTA per match0.780.87
    Won balls, offensive half2924
    Pressing intensity0.230.23
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.330.31
    Entries into the box per match1112
    Entries into the box against1011
    Pass completion %0.70.72
    Pass completion % under pressure0.670.69
    Passes per match295296
    Passes against per match297363
    Switches of play per match23.822.5
    Long balls per match3330
    Set piecesPortsmouthQueens Park Rangers
    xG from free kicks0.110.07
    Corners per match5.74.8
    Corners against per match5.15.2
    xG per corner0.060.06
    xGA per corner against0.060.05
    First touch, offensive corners %0.350.28
    First touch, defensive corners %0.610.67
    OtherPortsmouthQueens Park Rangers
    Throw-in control0.70.69
    The goalkeepersNicolas Schmid (Portsmouth)Joe Walsh (Queens Park Rangers)
    Saves8168
    Save %65%62%
    xG prevented49%42%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Portsmouth vs Queens Park Rangers according to our model?

    The model gives Portsmouth a 44% win probability. Full 1X2 picture: Portsmouth 44%, draw 28%, Queens Park Rangers 28%.

    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 44% and under at 56%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.