EFL ChampionshipSincil Bank, Lincoln16°17 km/h

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    Lincoln CityLincoln CityLow block & direct
    vs
    SouthamptonSouthamptonPossession & high press
    The model's lean: 1 · Lincoln City (42%)

    Lincoln CitySouthampton · EFL Championship

    1 · Lincoln City 42%X 27%31% Southampton · 2

    Analysis: Lincoln CitySouthampton

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The model gives Lincoln City a 42% chance of winning against Southampton, which is a decent nod towards the hosts despite their points deficit. What stands out is the small expected goals margin: Lincoln City 1.42 to Southampton’s 1.19. This suggests a tightly contested match, skewed slightly by Lincoln’s usual low defence strategy against the visitor's possession-based, high press game.

    Southampton holds a slight advantage in xPoints and xG, indicating they create more quality chances. The 2.2 xG per match is telling; if they find their rhythm, Lincoln’s leaky defence—allowing 2.0 xGA per match—could face significant pressure. Yet, the hosts have kept things close in terms of expected outcomes and might find a way to exploit the spaces Southampton’s high press leaves behind.

    The most likely scoreline, according to the model, is a 1-1 draw at 13%, with a narrow 1-0 victory for Lincoln following closely at 10%. While Southampton has the upper hand in many offensive metrics, the match could still settle into a balanced affair, particularly if Lincoln stays disciplined defensively. The under 2.5 goals probability of 52% aligns well with this, suggesting a cautious approach is warranted when considering total goals.

    Despite the small head-to-head sample size, Lincoln’s home advantage shouldn't be dismissed outright. The model lean towards Lincoln City could hint at value. Betting on Lincoln’s win offers an intriguing angle for those valuing the model’s insight over recent form.

    In conclusion, a disciplined approach focusing on Lincoln's potential upset is the sharpest angle here. Expect a low-scoring game with the home side standing a credible chance of edging it.

    Lincoln CityLincoln City
    Form LLW
    League ranking xG #12xGA #21xT #12xP/match #11Points #18
    Key players
    • Ben HouseFxG 0.27 · xT 0.03
    • Freddie DraperFxG 0.08 · xT -0.01
    • Reeco HackettRWxG 0.78 · xT 0.13
    SouthamptonSouthampton
    Form WDLWW
    League ranking xG #3xGA #4xT #6xP/match #4Points #5
    Key players
    • Cyle Christopher LarinFxG 0.74 · xT 0.09
    • Taylor Jay Harwood-BellisCBxG 0.16 · xT 0.17
    • Jack StephensCBxG 0.18 · xT 0.07

    Match prediction: Lincoln CitySouthampton

    Predicted score matrix

    Southampton
    Lincoln City
    0
    1
    2
    3
    4+
    0
    0–07.7%
    0–18.4%
    0–25.2%
    0–32.1%
    0–4+0.8%
    1
    1–010.1%
    1–112.8%
    1–27.4%
    1–32.9%
    1–4+1.1%
    2
    2–07.4%
    2–18.8%
    2–25.2%
    2–32.1%
    2–4+0.8%
    3
    3–03.5%
    3–14.2%
    3–22.5%
    3–31.0%
    3–4+0.4%
    4+
    4+–01.7%
    4+–12.0%
    4+–21.2%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.1-010%
    3. 3.2-19%
    4. 4.0-18%
    5. 5.0-08%
    Expected goals
    1,421,19
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.16EV+10%
    Over 2,548%
    @1.71

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Lincoln City or draw (1X)69%
    • Under 3.5 goals73%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance Lincoln City or draw (1X)69%
    • Under 2.5 goals52%
    • Robert Nicholas Street to score25%

    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 score53%
    • Over 2.5 goals48%
    • Cameron Desmond Archer to score25%
    • Nathan Dean Joshua Wood-Gordon to be booked22%

    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 · Lincoln City42% probability@4.30Betfair ExchangeEV+83%reference odds
    • 1 · Lincoln City42% probability@4.20Bet365EV+78%reference odds
    • 1 · Lincoln City42% probability@4.10BetsafeEV+74%reference odds
    Bookmaker1 · Lincoln CityX2 · Southampton
    Bet365
    EV+ 78%
    4.20
    3.601.75
    Betfair Exchange
    EV+ 83%
    4.30
    EV+ 2%
    3.85
    1.83
    Betsafe
    EV+ 74%
    4.10
    3.601.85
    Betsson
    EV+ 74%
    4.10
    3.601.85
    Nordicbet
    EV+ 74%
    4.10
    3.601.85
    Pinnacle
    EV+ 65%
    3.88
    EV+ 5%
    3.95
    1.83

    Odds updated 3 Sept, 04:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Lincoln City
    Southampton
    When goals are scored and conceded 2026
    Lincoln City (35)
    Southampton (94)
    Pass networks

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

    Lincoln City
    Conor Mcgrandles: 56 passningar, xT 0.31McgrandlesIvan Varfolomieiev: 55 passningar, xT -0.02VarfolomieievGeorge Wickens: 52 passningar, xT 0.19WickensAdam Reach: 51 passningar, xT 0.45ReachAyodeji Joshua Oluwapelumi Akinola Elerewe: 47 passningar, xT 0.04ElereweReeco Hackett: 30 passningar, xT 0.14HackettDom Jefferies: 24 passningar, xT 0.42JefferiesTom Hamer: 23 passningar, xT 0.11HamerRyley Ben Towler: 21 passningar, xT 0.27TowlerCallum Roddie Elder: 18 passningar, xT 0.18ElderBen House: 16 passningar, xT -0.03House
    Southampton
    Ryan Phelim Manning: 163 passningar, xT 0.65ManningJames Bree: 130 passningar, xT 0.17BreeJack Stephens: 128 passningar, xT 0.14StephensFlynn Downes: 116 passningar, xT 0.05DownesKuryu Matsuki: 103 passningar, xT 0.13MatsukiCameron Roger Bragg: 97 passningar, xT 0.2BraggFinn Azaz: 85 passningar, xT 0.78AzazLeonardo Weschenfelder Scienza: 79 passningar, xT 0.26ScienzaTaylor Jay Harwood-Bellis: 76 passningar, xT 0.17Harwood-BellisNathan Dean Joshua Wood-Gordon: 68 passningar, xT 0.06Wood-GordonDaniel Peretz: 60 passningar, xT 0.06Peretz
    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.

    Lincoln City
    Conor Mcgrandles: 56 passningar, xT 0.31McgrandlesIvan Varfolomieiev: 55 passningar, xT -0.02VarfolomieievGeorge Wickens: 52 passningar, xT 0.19WickensAdam Reach: 51 passningar, xT 0.45ReachAyodeji Joshua Oluwapelumi Akinola Elerewe: 47 passningar, xT 0.04ElereweReeco Hackett: 30 passningar, xT 0.14HackettDom Jefferies: 24 passningar, xT 0.42JefferiesTom Hamer: 23 passningar, xT 0.11HamerRyley Ben Towler: 21 passningar, xT 0.27TowlerCallum Roddie Elder: 18 passningar, xT 0.18ElderBen House: 16 passningar, xT -0.03House
    Southampton
    Ryan Phelim Manning: 163 passningar, xT 0.65ManningJames Bree: 130 passningar, xT 0.17BreeJack Stephens: 128 passningar, xT 0.14StephensFlynn Downes: 116 passningar, xT 0.05DownesKuryu Matsuki: 103 passningar, xT 0.13MatsukiCameron Roger Bragg: 97 passningar, xT 0.2BraggFinn Azaz: 85 passningar, xT 0.78AzazLeonardo Weschenfelder Scienza: 79 passningar, xT 0.26ScienzaTaylor Jay Harwood-Bellis: 76 passningar, xT 0.17Harwood-BellisNathan Dean Joshua Wood-Gordon: 68 passningar, xT 0.06Wood-GordonDaniel Peretz: 60 passningar, xT 0.06Peretz

    The teams in numbers

    PerformanceLincoln CitySouthampton
    Points36
    xPoints4.35.6
    xG per match1.42.2
    xGA per match21
    xG within 8s of winning the ball0.140.47
    xGA within 8s of losing the ball0.270.36
    Playing styleLincoln CitySouthampton
    Build-up efficiency0.360.3
    Field tilt0.20.71
    xT per match0.971.2
    xTA per match1.30.81
    Won balls, offensive half3024
    Pressing intensity0.260.21
    Pressing efficiency0.280.26
    Pressing efficiency, offensive half0.280.18
    Entries into the box per match1413
    Entries into the box against2010
    Pass completion %0.580.81
    Pass completion % under pressure0.530.78
    Passes per match151412
    Passes against per match434260
    Switches of play per match1822.1
    Long balls per match2933
    Set piecesLincoln CitySouthampton
    xG from free kicks0.220.14
    Corners per match56.6
    Corners against per match7.35.6
    xG per corner0.040.01
    xGA per corner against0.030.01
    First touch, offensive corners %0.270.45
    First touch, defensive corners %0.450.71
    OtherLincoln CitySouthampton
    Throw-in control0.670.65
    The goalkeepersGeorge Wickens (Lincoln City)Daniel Peretz (Southampton)
    Saves167
    Save %76%70%
    xG prevented54%55%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Lincoln City vs Southampton according to our model?

    The model gives Lincoln City a 42% win probability. Full 1X2 picture: Lincoln City 42%, draw 27%, Southampton 31%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.