3. Liga: Predictions, Odds & Tips

    Läs på svenska

    Model-based predictions for the Scottish Premiership — powered by the same match model behind PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals, over/under lines and both-teams-to-score, built from hundreds of data points per team: strength, form, playing style, weather and more.

    We compare the predictions against live odds from multiple bookmakers and flag positive expected value (EV+) where the model’s probability beats the implied odds. Once matches are played, we grade every prediction openly — hit or miss. Everything updates continuously through the week until kickoff.

    Upcoming matches

    Waldhof MannheimWaldhof Mannheim
    vs
    Fortuna DüsseldorfFortuna Düsseldorf
    1 36%X 26%2 38%
    HavelseHavelse
    vs
    VfB Stuttgart IIVfB Stuttgart II
    1 30%X 26%2 44%
    Viktoria KölnViktoria Köln
    vs
    Jahn RegensburgJahn Regensburg
    1 44%X 25%2 32%
    IngolstadtIngolstadt
    vs
    Wurzburger KickersWurzburger Kickers
    1 57%X 17%2 25%
    Wehen WiesbadenWehen Wiesbaden
    vs
    Preussen MünsterPreussen Münster
    1 53%X 23%2 23%
    DuisburgDuisburg
    vs
    SV MeppenSV Meppen
    1 75%X 13%2 12%
    Alemannia AachenAlemannia Aachen
    vs
    VerlVerl
    1 40%X 27%2 33%
    SaarbrückenSaarbrücken
    vs
    Rot-Weiss EssenRot-Weiss Essen
    1 37%X 25%2 38%
    HoffenheimHoffenheim
    vs
    Hansa RostockHansa Rostock
    1 63%X 20%2 17%

    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
    1VfL Osnabruck3824–8–666–348067,363,139,1+24,051 %Possession control
    2Energie Cottbus3821–9–872–517258,168,855,1+13,754 %Possession control
    3Rot-Weiss Essen3820–10–878–667054,569,966,5+3,450 %Possession control
    4Duisburg3819–11–866–496860,454,747,1+7,650 %Low block & direct
    5Hansa Rostock3818–13–774–496754,568,449,8+18,656 %Possession control
    6Verl3818–10–1082–486443,358,148,3+9,867 %Possession control
    7Alemannia Aachen3819–7–1276–576452,355,965,7−9,850 %Possession control
    81860 München3815–11–1254–535650,557,058,5−1,546 %Possession control
    9Wehen Wiesbaden3815–8–1554–525353,458,557,8+0,747 %Possession control
    10Waldhof Mannheim3815–7–1659–725255,061,258,9+2,353 %Possession control
    11Viktoria Köln3815–6–1751–535156,762,752,4+10,347 %Possession control
    12Ingolstadt3813–10–1565–564956,068,457,0+11,440 %Counter-attacks & crosses
    13Jahn Regensburg3814–7–1754–584955,364,258,5+5,746 %Possession control
    14VfB Stuttgart II3813–7–1857–694645,061,965,7−3,856 %Possession control
    15Saarbrücken3810–14–1451–574455,865,060,8+4,252 %Counter-attacks & crosses
    16Hoffenheim II3812–7–1965–714347,757,066,5−9,552 %Possession control
    17Havelse389–8–2157–893548,650,575,6−25,141 %Low block & direct
    18Erzgebirge Aue387–13–1851–703443,149,069,5−20,546 %Possession control
    19Ulm389–6–2349–783348,554,768,4−13,750 %Possession control
    20Schweinfurt385–6–2738–872139,446,474,1−27,743 %Possession control

    Latest articles

    All articles
    Scouting Report: Lars Kehl (VfL Osnabruck)

    2026-05-24 · 2 min

    Scouting Report: Lars Kehl (VfL Osnabruck)

    Lars Kehl, 24-year-old offensive midfielder at VfL Osnabrück, stands out in 3. Liga with his creative play and has a TransferIndex of 0.85 which places him among the league's most attractive transfer targets. His strong numbers in chance creation (0.38 assists per match against the league average of 0.10) and shot production (2.3 shots per match) compensate for weaknesses in defensive play where he only makes 2.43 interceptions per match compared to the league average of 3.45.

    Player Profile: Florian Pick (Saarbrucken)

    2026-04-01 · 2 min

    Player Profile: Florian Pick (Saarbrucken)

    Florian Pick is Saarbrücken's creative key player in 3. Liga with a PlaymakerRank of 5.0 and average KPI points of 0.59 which places him well above the league average. The experienced winger contributes 0.43 goals and 0.25 assists per match while serving as the team's primary catalyst for forward movement with his progressive passes and ball carries.

    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.