Serbian Super League: Predictions, Odds & Tips

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    Model-based predictions for the Serbian Super League — eternal rivals Red Star and Partizan, the challengers and the whole division, analysed by the same match model behind PlaymakerAI: 1X2 probabilities, a score matrix, expected goals and over/under lines ahead of every round.

    The predictions are held against live odds, with positive expected value (EV+) flagged when the model’s probability beats the implied odds. After the final whistle every pick is graded openly — hit or miss.

    Upcoming matches

    Mačva ŠabacMačva Šabac
    vs
    Mladost LučaniMladost Lučani
    1 33%X 28%2 39%
    Radnik SurdulicaRadnik Surdulica
    vs
    Partizan BelgradePartizan Belgrade
    1 22%X 26%2 52%
    Novi PazarNovi Pazar
    vs
    ZemunZemun
    1 65%X 21%2 14%
    Odds on the move
    VojvodinaVojvodina
    vs
    FK IMT BeogradFK IMT Beograd
    1 51%X 27%2 22%
    Red Star BelgradeRed Star Belgrade
    vs
    Radnički NišRadnički Niš
    1 76%X 15%2 9%
    Soft drawOdds on the move
    OFK BeogradOFK Beograd
    vs
    Radnički 1923Radnički 1923
    1 36%X 30%2 34%
    Železničar PančevoŽelezničar Pančevo
    vs
    ČukaričkiČukarički
    1 56%X 25%2 19%

    League table2026/27

    PosTeamPSW–D–LGF–GAxPxGxGAxGDFTStyle
    1Red Star Belgrade2287–1–019–216,820,04,8+15,275 %Possession & high press
    2Vojvodina2197–0–220–914,618,112,4+5,761 %Possession & high press
    3Radnički 19231484–2–212–612,914,97,9+7,062 %Possession control
    4IMT1374–1–210–411,610,05,9+4,157 %Possession & high press
    5Radnik Surdulica1393–4–210–1113,110,612,9−2,351 %Possession & high press
    6Mladost Lučani1393–4–28–1111,88,013,7−5,725 %Low block & direct
    7Novi Pazar1293–3–38–913,712,011,8+0,248 %Possession control
    8Železničar Pančevo1173–2–211–79,912,86,7+6,163 %Possession & high press
    9Čukarički1193–2–411–1613,011,813,5−1,739 %Low block & direct
    10OFK Beograd992–3–410–168,89,013,7−4,757 %Possession control
    11Radnički Niš882–2–46–811,011,08,5+2,566 %Possession & high press
    12Mačva Šabac892–2–55–158,95,820,3−14,521 %Low block & direct
    13Partizan Belgrade782–1–513–1510,512,39,5+2,868 %Possession & high press
    14Zemun290–2–74–176,15,421,4−16,027 %Low block & direct
    15FK IMT Beograd120–1–11–23,62,81,5+1,340 %Possession control

    Latest articles

    All articles
    This week's upsets with value 11/9

    2026-09-11 · 4 min

    This week's upsets with value 11/9

    The article presents five football tips where the odds don't reflect the underlying statistics, with examples such as Cukaricki-Novi Pazar where corner statistics point towards an away team advantage despite the same odds, and Ventforet Kofu-Jubilo Iwata where a low-scoring pattern favors a home win. Throughout, the analysis is built on xG, corner statistics and goal trends rather than gut feeling, in order to identify matches where the market has underestimated the real probabilities.

    Erik Lindberg predicts 7/8: safe bets

    2026-08-07 · 3 min

    Erik Lindberg predicts 7/8: safe bets

    The article presents five safe favorite tips where a betting model has identified advantageous odds, with MSV Duisburg against SV Meppen as the most enticing bet (75% win probability, odds 1.63, value 22%). Sanfrecce Hiroshima is also highlighted as a good value bet, while Spartak Trnava is included mainly for the sake of stability despite a slight negative value.

    Oscar Nilsson tips 6/8: upsets with value

    2026-08-06 · 3 min

    Oscar Nilsson tips 6/8: upsets with value

    The article presents three betting tips where an analysis model has identified value that the market's odds do not fully reflect: Wolfsburg–Kaiserslautern (2 @ 4.79), Vojvodina–Radnik Surdulica (2 @ 8.50), and Sochaux–Saint-Etienne (1 @ 3.61). The columnist justifies the choices with statistical probability versus odds as well as the teams' form, particularly away and at home respectively.

    Played matches

    Prediction track record
    ZemunZemun
    1–1
    Radnik SurdulicaRadnik Surdulica
    1 29%X 22%2 49%
    The model missed the outcome
    Radnički NišRadnički Niš
    3–1
    OFK BeogradOFK Beograd
    1 41%X 29%2 30%
    The model called the outcome
    IMTIMT
    0–1
    Red Star BelgradeRed Star Belgrade
    1 17%X 23%2 60%
    The model called the outcome
    Radnički 1923Radnički 1923
    5–0
    Mladost LučaniMladost Lučani
    1 60%X 24%2 16%
    The model called the outcome
    ČukaričkiČukarički
    1–1
    Novi PazarNovi Pazar
    1 36%X 30%2 34%
    The model missed the outcome
    Partizan BelgradePartizan Belgrade
    2–3
    VojvodinaVojvodina
    1 49%X 27%2 24%
    The model missed the outcome
    Železničar PančevoŽelezničar Pančevo
    2–0
    Mačva ŠabacMačva Šabac
    1 71%X 18%2 11%
    The model called the outcome
    OFK BeogradOFK Beograd
    1–1
    IMTIMT
    1 41%X 29%2 30%
    The model missed the outcome
    VojvodinaVojvodina
    2–1
    ZemunZemun
    1 78%X 14%2 8%
    The model called the outcome
    Red Star BelgradeRed Star Belgrade
    2–1
    Partizan BelgradePartizan Belgrade
    1 62%X 21%2 16%
    The model called the outcome
    Mladost LučaniMladost Lučani
    1–0
    Radnički NišRadnički Niš
    1 31%X 30%2 39%
    The model missed the outcome
    Mačva ŠabacMačva Šabac
    0–0
    Radnički 1923Radnički 1923
    1 25%X 26%2 49%
    The model missed the outcome

    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.

    Serbian Super League FAQ

    Where do I find Serbian Super League predictions?

    Right here: every match in the Serbian Super League has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.

    How are the Serbian Super League predictions made?

    Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.

    What is the xP table?

    xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which the Serbian Super League teams are over- and underrated right now.

    Which teams play in Serbian Super League 2026/27?

    Serbian Super League 2026/27 has 15 teams: Red Star Belgrade, Vojvodina, Radnički 1923, IMT, Radnik Surdulica, Mladost Lučani, Novi Pazar, Železničar Pančevo, Čukarički, OFK Beograd, Radnički Niš, Mačva Šabac, Partizan Belgrade, Zemun, FK IMT Beograd.

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