League intelligence hub
Europa League
Verified competition context, market disagreement signals, and model-led fixture watchlists for World.
Season
2026
Analytical layer
Standings + market signals
Tracked matches
638
Fixtures captured inside the current competition scope.
Prediction accuracy
20%
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.
Europa 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.
13 logged predictions10 settled
Most stable favorite
Sheriff Tiraspol vs Aluminij
63% model lean with 41 pt separation.
Most underpriced club
SC Freiburg
SC Freiburg vs Aston Villa carries +44.8 pts of model edge.
Biggest market disagreement
SC Freiburg vs Aston Villa
44.8 pts separate SportXG from the stored market.
Highest volatility team
Ferencvarosi TC
Volatility score 86/100 across current tracked fixtures.
Strongest home advantage
Omonia Nicosia
Home points pace runs 2.5 points per game above away pace.
Strongest trend shift
Anderlecht
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.
xG trend status
Expected goals environment
0.67 projected goals per fixture
Stable league-wide xG feeds are not available here, so SportXG uses stored projected scorelines as a proxy. Current projected goals sit at 0.67 per fixture versus — actual goals per match, a — goal gap.
Historical scoring tendencies
Scoring environment
—
Draws land at —, over-2.5 outcomes at 62%, and clean-sheet finishes at — across the currently stored competition record.
Model confidence environment
Model confidence environment
51%
The average selected probability is 51%, while 23% of tracked fixtures currently fall into the high-confidence bucket.
Market disagreement environment
Market disagreement environment
23.6 pts
Average model-vs-market disagreement currently runs at 23.6 pts, with 62% of tracked fixtures clearing the strong-disagreement threshold. The sharpest disagreement fixture is linked below through the featured card.
Attack and defense leaders
These table-driven leaders help frame which clubs are shaping the league's scoring environment most aggressively right now.
Strongest attack
Unavailable
—
Not enough stable league evidence is available to rank this signal yet.
Strongest defense
Unavailable
—
Not enough stable league evidence is available to rank this signal yet.
Match of the week
Market aligned
Sheriff Tiraspol vs Aluminij
Highest conviction active fixture in the current league feed.
Strong confidenceLow volatility
Home63%
Draw22%
Away15%
Model vs market
Model
63%
Market
—
Edge
—
No odds snapshot
Sheriff Tiraspol to win
Biggest model disagreement
Strong market divergence
SC Freiburg vs Aston Villa
Largest gap between SportXG and the stored market snapshot.
Strong confidenceLow volatility
Home62%
Draw19%
Away18%
Model vs market
Model
62%
Market
18%
Edge
+44.8 pts
SC Freiburg to win
High volatility fixture
Strong market divergence
Vojvodina vs Ferencvarosi TC
Tight probability separation with elevated uncertainty.
Low convictionHigh volatility
Home39%
Draw40%
Away21%
Model vs market
Model
40%
Market
27%
Edge
+12.9 pts
Draw
Key model insights
League-level watchlists and narratives prioritize what matters most, rather than stacking generic standings and fixtures equally.
Watchlist team
Ferencvarosi TC
Cooling trend with model strength 24/100.
Strongest home edge
Omonia Nicosia
2.50 point home-vs-away pace gap.
Editorial framing
SC Freiburg vs Aston Villa is the clearest underpricing signal in the current archive, with the model holding a 44.8 point edge over the stored market.
Omonia Nicosia currently shows the strongest home advantage in the table data, outperforming its away points pace by 2.5 points per game.
Anderlecht 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.
| # | Team | Played | GF | GA | GD | Points | Form | Model strength | Volatility | Avg edge | Home edge |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 0 | 0 | 0 | 0 | 0 | WWWWW | Strength24/100 | Volatility— | — | -0.08 | |
| 2 | 0 | 0 | 0 | 0 | 0 | WD | Strength24/100 | Volatility— | — | +0.50 | |
| 3 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 4 | 0 | 0 | 0 | 0 | 0 | WWDWW | Strength24/100 | Volatility— | — | +1.25 | |
| 5 | 0 | 0 | 0 | 0 | 0 | LWWWW | Strength24/100 | Volatility— | — | +1.00 | |
| 6 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 7 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 8 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 9 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 10 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 11 | 0 | 0 | 0 | 0 | 0 | WWDWD | Strength24/100 | Volatility86/100 | +5.0 pts | -0.10 | |
| 12 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 13 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 14 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 15 | 0 | 0 | 0 | 0 | 0 | WWDW | Strength24/100 | Volatility— | — | +1.67 | |
| 16 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 17 | 0 | 0 | 0 | 0 | 0 | DWWW | Strength24/100 | Volatility— | — | +1.67 | |
| 18 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 19 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 20 | 0 | 0 | 0 | 0 | 0 | WD | Strength24/100 | Volatility— | — | +0.50 | |
| 21 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 22 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 23 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 24 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 25 | 0 | 0 | 0 | 0 | 0 | WW | Strength24/100 | Volatility— | — | 0.00 | |
| 26 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 27 | 0 | 0 | 0 | 0 | 0 | WLWD | Strength24/100 | Volatility— | — | +2.50 | |
| 28 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 29 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 30 | 0 | 0 | 0 | 0 | 0 | WWDW | Strength24/100 | Volatility— | — | +0.67 | |
| 31 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 32 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 33 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 34 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 35 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | — | |
| 36 | 0 | 0 | 0 | 0 | 0 | WL | Strength24/100 | Volatility— | — | +1.50 |
