Competition overview
Super League
Explore this season's standings, upcoming fixtures and published pre-match analysis.
Season
2026
On this page
Fixtures & standings
Tracked matches
348
Fixtures captured inside the current competition scope.
Prediction accuracy
50%
Settled hit rate from the verified archive only.
Active predictions
0
Upcoming or live league fixtures currently covered by logged outputs.
Featured fixtures
Active competition fixtures ranked by confidence, edge, and current market interpretation.
No fixtures in this editorial bucket for the current filters.
Super League intelligence snapshot
SportXG ranks current league signals using verified standings data and stored prediction-market gaps. xG-only layers stay hidden until a stable league feed is available.
56 logged predictions2 settled
Most stable favorite
Selangor vs Melaka
86% model lean with 75 pt separation.
Highest volatility team
Sabah FA
Volatility score 74/100 across current tracked fixtures.
Strongest home advantage
DPMM FC Brunei
Home points pace runs 1.5 points per game above away pace.
Strongest trend shift
Johor Darul Takzim FC
Cooling trend from the last five published form markers.
League environment
These league-wide signals describe the scoring climate, confidence climate, and disagreement profile around the current competition feed.
Model output
Model-predicted total goals
2.49 projected goals per fixture
Average total goals from stored score predictions, not shot-based expected goals (xG).
Historical scoring tendencies
Scoring environment
3.56 goals per match
Draws land at 11%, over-2.5 outcomes at 71%, and clean-sheet finishes at — across the currently stored competition record.
Model confidence environment
Model confidence environment
62%
The average selected probability is 62%, while 53% of tracked fixtures currently fall into the high-confidence bucket.
Market disagreement environment
Market disagreement environment
—
Average model-vs-market disagreement currently runs at —, with 0% of tracked fixtures clearing the strong-disagreement threshold.
Attack and defense leaders
These table-driven leaders help frame which clubs are shaping the league's scoring environment most aggressively right now.
Match of the week
Market snapshot unavailable
Selangor vs Melaka
Highest conviction active fixture in the current league feed.
Strong confidenceLow volatility
Home86%
Draw10%
Away4%
Model vs market
Model
86%
Market
—
Edge
—
No odds snapshot
Selangor to win
Biggest model disagreement
No fixtures in this editorial bucket for the current filters.
High volatility fixture
Market snapshot unavailable
Melaka vs Negeri Sembilan
Tight probability separation with elevated uncertainty.
Low convictionHigh volatility
Home38%
Draw25%
Away37%
Model vs market
Model
38%
Market
—
Edge
—
No odds snapshot
Melaka to win
Key model insights
League-level watchlists and narratives prioritize what matters most, rather than stacking generic standings and fixtures equally.
Watchlist team
Johor Darul Takzim FC
Cooling trend with model strength 100/100.
Strongest home edge
DPMM FC Brunei
1.50 point home-vs-away pace gap.
Editorial framing
DPMM FC Brunei currently shows the strongest home advantage in the table data, outperforming its away points pace by 1.5 points per game.
Johor Darul Takzim FC owns the sharpest recent momentum profile in the tracked table, making it the current watchlist team for this competition.
Intelligence standings
This table stays grounded in official standings while layering model strength, volatility, and home-edge signals on top.
Snapshot time unavailable
| # | Team | Played | GF | GA | GD | Points | Form | Model strength | Volatility | Avg edge | Home edge |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 6 | 28 | 0 | +28 | 18 | WWWWW | Strength100/100 | Volatility49/100 | — | 0.00 | |
| 2 | 6 | 17 | 4 | +13 | 18 | WWWWW | Strength100/100 | Volatility48/100 | — | 0.00 | |
| 3 | 6 | 17 | 7 | +10 | 12 | LWWWW | Strength87/100 | Volatility63/100 | — | — | |
| 4 | 6 | 9 | 8 | +1 | 12 | WWWLL | Strength63/100 | Volatility56/100 | — | +1.50 | |
| 5 | 6 | 9 | 6 | +3 | 10 | WDLLW | Strength62/100 | Volatility74/100 | — | +0.80 | |
| 6 | 6 | 10 | 12 | -2 | 9 | WWLLW | Strength46/100 | Volatility58/100 | — | +1.00 | |
| 7 | 6 | 6 | 16 | -10 | 6 | LLWWL | Strength15/100 | Volatility72/100 | — | +0.50 | |
| 8 | 6 | 8 | 11 | -3 | 5 | LDLDL | Strength31/100 | Volatility56/100 | — | +1.00 | |
| 9 | 6 | 4 | 9 | -5 | 5 | LLDDL | Strength26/100 | Volatility68/100 | — | +0.50 | |
| 10 | 6 | 9 | 16 | -7 | 5 | LWDDL | Strength20/100 | Volatility60/100 | — | +0.20 | |
| 11 | 6 | 5 | 10 | -5 | 4 | LLWDL | Strength23/100 | Volatility61/100 | — | +0.67 | |
| 12 | 6 | 6 | 29 | -23 | 0 | LLLLL | Strength0/100 | Volatility71/100 | — | 0.00 |
