Super Liga predictions

Serbia · top flight · 14 teams · table updated 24 Oct

Calibrated probabilities for every Super Liga match, frozen at kickoff and judged in public. Filter Super Liga in the Bet Finder.

This week's Super Liga fixtures

Super Liga table

#TeamPGDPts
1FK Crvena Zvezda12+2834
2Vojvodina13+1629
3Železničar Pančevo12+923
4IMT Novi Beograd13+621
5Radnicki 192312+420
6Cukaricki13-118
7Mladost Lucani13-618
8Radnik Surdulica13017
9Novi Pazar13-116
10FK Partizan12-411
11OFK Beograd12-811
12Macva13-1210
13Radnicki NIS12-138
14Zemun13-186
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Official Super Liga table via API-Sports · updated 2026-10-24.

This season in numbers

2.59
goals per game (88 matches)
43%
both teams scored
48%
over 2.5 goals
72%
over 1.5 goals
27%
over 3.5 goals
50%
home wins
25%
draws
25%
away wins

The model's Super Liga record

MarketTipsClaimedHitGap
Home win≥ 57%1266.2%75.0%+8.8
Home or draw≥ 80%1184.4%72.7%-11.7
Away win≥ 50%764.3%57.1%-7.2
Away or draw≥ 73%781.9%85.7%+3.8
Over 2.5≥ 57%1661.1%62.5%+1.4
BTTS≥ 63%0———

Settled Super Liga matches since 27 Julwhere the model cleared each market's tip threshold. Predictions are frozen at kickoff, so nothing here was re-scored after the fact. Rows under 5 tips are greyed.

Recent Super Liga results

About Super Liga

Super Liga is the top flight of Serbia football with 14 teams. The 2026/27 season has produced 2.59 goals per game over 88 matches: both teams scored in 43%, 48% went over 2.5 goals, and the home side won 50% with 25% drawn. FK Crvena Zvezda lead the table on 34 points from 12 games.

How the model handles Super Liga

Every Super Liga fixture is scored by the same calibrated model that covers 164+ competitions: home, draw and away probabilities from a result classifier, and both-teams-to-score and over/under goals from a Poisson goal model, each passed through its own calibration layer so a displayed 70% means roughly 70%. Since predictions were frozen at kickoff on 27 Jul, the model has settled 53 Super Liga tips at the strict thresholds, claiming 70.3% on average and landing 69.8%. Its best-calibrated Super Liga market so far is over 2.5 (61.1% claimed against 62.5% hit over 16 tips). Predictions appear up to three days before kick-off and are re-scored every morning until the match starts, then frozen for good.

Frequently asked questions

How are these Super Liga predictions made?
Each match gets probabilities from two machine-learning models trained on results since 2021: a three-way result classifier for home, draw and away, and a Poisson goal model for both-teams-to-score and over/under goals. Inputs are recent venue-specific form, Elo ratings, rest days, head-to-head history and, where the data exists, shot and expected-goals aggregates. Every output is passed through an isotonic calibration layer fitted on a held-out season, so the displayed percentages match real-world frequencies — the methodology page has the detail. Predictions are frozen at kickoff and never edited afterwards.
Where does the Super Liga table come from?
It is the official standings feed from our data provider, API-Sports, refreshed nightly. We deliberately do not compute it from results ourselves: head-to-head tiebreakers, points deductions, and split, conference or Apertura/Clausura formats are all shown exactly as the competition publishes them.
Which Super Liga market is the model most reliable in?
On settled Super Liga tips since 27 Jul, the closest match between claimed and actual hit rate is over 2.5: 61.1% claimed against 62.5% hit over 16 tips. The full per-market breakdown is in the record table on this page, and it is recomputed daily as matches settle.
How far ahead are Super Liga fixtures predicted?
Up to three days before kick-off. Fixtures are imported a week ahead, each prediction is re-scored every morning as form and ratings update, and it is frozen the moment the match starts. Exact probabilities are shown to free account holders; the headline call is public. To filter Super Liga by market and probability, use the Bet Finder.