League intelligence hub
Ligue 1
Verified competition context, market disagreement signals, and model-led fixture watchlists for France.
Season
2026
Analytical layer
Standings + market signals
Tracked matches
663
Fixtures captured inside the current competition scope.
Prediction accuracy
43%
Settled hit rate from the verified archive only.
Active predictions
3
Upcoming or live league fixtures currently covered by logged outputs.
Featured fixtures
Active competition fixtures ranked by confidence, edge, and current market interpretation.
Regular Season - 5
2026-09-20 21:00
Upcoming
Auxerre
Stade Brestois 29Model output
Stade Brestois 29 to win
45%
Moderate confidenceMarket aligned
Regular Season - 5
2026-09-20 23:15
Upcoming
Nice
LilleModel output
Draw
47%
Moderate confidenceMarket aligned
Regular Season - 5
2026-09-21 02:45
Upcoming
Marseille
Paris Saint GermainModel output
Paris Saint Germain to win
45%
Moderate confidenceMarket aligned
Ligue 1 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.
83 logged predictions30 settled
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
1.67 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 1.67 per fixture versus — actual goals per match, a — goal gap.
Historical scoring tendencies
Scoring environment
—
Draws land at —, over-2.5 outcomes at 61%, and clean-sheet finishes at — across the currently stored competition record.
Model confidence environment
Model confidence environment
46%
The average selected probability is 46%, while 0% 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.
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
Nice vs Lille
Highest conviction active fixture in the current league feed.
Moderate confidenceHigh volatility
Home13%
Draw47%
Away40%
Model vs market
Model
47%
Market
—
Edge
—
No odds snapshot
Draw
Biggest model disagreement
No fixtures in this editorial bucket for the current filters.
High volatility fixture
Market aligned
Auxerre vs Stade Brestois 29
Tight probability separation with elevated uncertainty.
Moderate confidenceHigh volatility
Home39%
Draw16%
Away45%
Model vs market
Model
45%
Market
—
Edge
—
No odds snapshot
Stade Brestois 29 to win
Key model insights
League-level watchlists and narratives prioritize what matters most, rather than stacking generic standings and fixtures equally.
Watchlist team
Auxerre
No recent watchlist signal is available from the current table and prediction archive.
Strongest home edge
Auxerre
1.50 point home-vs-away pace gap.
Editorial framing
Auxerre currently shows the strongest home advantage in the table data, outperforming its away points pace by 1.5 points per game.
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 | WDL | Strength36/100 | Volatility94/100 | — | +1.50 | |
| 2 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -2.00 | |
| 3 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | +0.67 | |
| 4 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility94/100 | — | -1.50 | |
| 5 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -1.50 | |
| 6 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -0.67 | |
| 7 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | +0.50 | |
| 8 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility94/100 | — | -1.00 | |
| 9 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility94/100 | — | +1.00 | |
| 10 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | 0.00 | |
| 11 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility94/100 | — | +1.50 | |
| 12 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | 0.00 | |
| 13 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility94/100 | — | -1.67 | |
| 14 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | +1.00 | |
| 15 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -0.67 | |
| 16 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | +0.50 | |
| 17 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -1.00 | |
| 18 | 0 | 0 | 0 | 0 | 0 | WDL | Strength36/100 | Volatility— | — | -1.00 |
