EFL League Two: Predictions, Odds & Tips

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    Model-based predictions for EFL League Two — the fourth tier of English football and one of the most unpredictable leagues in Europe. That is exactly where the data earns its keep: ahead of every round the same match model that powers PlaymakerAI computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team.

    The predictions are compared against live odds, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.

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    League table2025/26

    New season with no matches played yet — the table shows the most recently completed season until the rounds get going.

    PosTeamSW–D–LGF–GAPxPxGxGAxGDFTStyle
    1Notts County4926–9–1478–528775,264,746,1+18,654 %Possession control
    2Bromley4624–15–771–468776,277,362,6+14,747 %Low block & direct
    3Milton Keynes Dons4624–14–886–458670,266,250,6+15,649 %Possession control
    4Salford City4926–7–1665–578572,771,060,8+10,253 %Counter-attacks & crosses
    5Cambridge United4622–16–866–338275,063,040,9+22,158 %Possession control
    6Chesterfield4821–17–1071–578063,364,359,0+5,366 %Possession control
    7Grimsby Town4822–13–1377–547974,876,847,5+29,361 %Possession control
    8Barnet4621–13–1270–537672,479,148,3+30,866 %Counter-attacks & crosses
    9Swindon Town4622–9–1570–597560,462,167,2−5,147 %Counter-attacks & crosses
    10Oldham Athletic4618–14–1460–446862,761,663,0−1,451 %Counter-attacks & crosses
    11Crewe Alexandra4619–10–1764–586754,453,867,2−13,447 %Possession control
    12Colchester United4618–12–1662–496660,157,552,4+5,158 %Possession control
    13Walsall4618–11–1756–566574,165,855,2+10,646 %Low block & direct
    14Bristol Rovers4619–5–2256–656260,854,761,2−6,550 %Balanced & physical
    15Fleetwood Town4615–16–1557–586161,763,964,9−1,047 %Counter-attacks & crosses
    16Accrington Stanley4614–11–2147–585357,348,366,7−18,446 %Low block & direct
    17Gillingham4613–14–1953–725368,269,563,5+6,045 %Counter-attacks & crosses
    18Cheltenham Town4614–10–2253–795250,346,572,7−26,242 %Counter-attacks & crosses
    19Shrewsbury Town4613–10–2342–694966,353,454,7−1,341 %Low block & direct
    20Newport County4612–7–2748–774349,245,176,8−31,738 %Counter-attacks & crosses
    21Tranmere Rovers4610–11–2554–794154,856,669,9−13,348 %Low block & direct
    22Crawley Town468–16–2244–684054,664,470,8−6,449 %Possession control
    23Harrogate Town4610–9–2739–683954,152,978,7−25,841 %Counter-attacks & crosses
    24Barrow469–9–2845–783655,951,169,5−18,442 %Low block & direct

    Latest articles

    All articles
    Player Profile: Michael Cheek (Bromley)

    2026-06-09 · 1 min

    Player Profile: Michael Cheek (Bromley)

    Michael Cheek from Bromley has established himself as a reliable goalscorer in League Two with 0.5 goals per match and functions as a classic "target man" who receives long balls in the penalty area. His statistics show that he is not only a ball receiver but also contributes to the team's build-up play with his progressive passes and chance creation, making him a predictable but effective striker.

    Player Profile: Aaron John Drinan (Swindon Town)

    2026-06-06 · 1 min

    Player Profile: Aaron John Drinan (Swindon Town)

    Aaron John Drinan from Swindon Town has established himself as a reliable goalscorer in League Two with 0.55 goals per match and strong precision in finishing. The Irish striker functions as a classic poacher who focuses on goalscoring rather than build-up play, with 2.22 shots per match and the ability to convert high-quality goal chances into goals.

    Scouting Report: Finley Christopher Ryan Munroe (Swindon Town)

    2026-05-27 · 1 min

    Scouting Report: Finley Christopher Ryan Munroe (Swindon Town)

    Finley Christopher Ryan Munroe, 21-year-old wingback at Swindon Town, stands out with strong passing play and creativity from the flank with 174 meters of progressive passes per match and 0.23 assists per match, which significantly exceeds the league average. His TransferIndex of 0.87 shows market potential, but defensive weaknesses and low goal production make him best suited as a development player for higher divisions.

    Played matches

    Prediction track record

    No settled matches yet for this selection — the scorecard fills in after every played round.

    How the predictions work

    Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.

    For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.

    Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.