Europa League predictions
Our model’s probabilities for upcoming Europa League matches, from one rating that compares every club across the leagues we cover.
Model probabilities only. There are no free bookmaker prices for these competitions, so we cannot show how our numbers compare with the market, and these matches are not part of our betting record or our AI experts.
- 14Upcoming matches priced
- 3,119Past matches tested
Upcoming Europa League predictions
- AC MilanMILFerencvarosi TCFER144.9%2.23X25.2%3.97229.9%3.34
- AnderlechtANDRed Bull SalzburgSAL153.2%1.88X23.7%4.22223.2%4.31
- 152.9%1.89X23.7%4.22223.3%4.28
- LillestromLILPlzenPLZ135.2%2.84X25.7%3.90239.1%2.55
- NEC NijmegenNECOmonia NicosiaOMO138.8%2.58X25.7%3.90235.5%2.81
- 152.8%1.89X23.7%4.21223.4%4.27
- 154.1%1.85X23.4%4.27222.5%4.45
- Sparta PrahaSPABournemouthBOU113.3%7.53X18.8%5.31267.9%1.47
- 132.5%3.08X25.5%3.92242.0%2.38
- 172.9%1.37X16.7%6.00210.5%9.55
- 171.6%1.40X17.2%5.80211.2%8.97
- 133.9%2.95X25.6%3.91240.5%2.47
- CelticCELBeşiktaşBES127.4%3.64X24.8%4.04247.8%2.09
- Sturm GrazSTGCeljeCEL160.3%1.66X21.6%4.62218.0%5.54
4 other Europa League fixtures are left out: we list a match only when we can match both clubs to their own results, in their league or in Europe.
Europa League standings
Competition season: 2026. Source: API-FOOTBALL. Snapshot saved 2026-10-26 10:02 UTC.
Official feed order and points are preserved, including deductions. Groups and stages are shown separately. P = played, W = won, D = drawn, L = lost, GF/GA = goals for/against, GD = goal difference. Form follows the source order.
UEFA Europa League
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 3 | 0 | 0 | 10 | 2 | 8 | 9 | WWW | |
| 2 | 3 | 3 | 0 | 0 | 8 | 0 | 8 | 9 | WWW | |
| 3 | 3 | 3 | 0 | 0 | 8 | 1 | 7 | 9 | WWW | |
| 4 | 3 | 3 | 0 | 0 | 9 | 3 | 6 | 9 | WWW | |
| 5 | 3 | 3 | 0 | 0 | 4 | 1 | 3 | 9 | WWW | |
| 6 | 3 | 2 | 1 | 0 | 8 | 1 | 7 | 7 | WDW | |
| 7 | 3 | 2 | 1 | 0 | 9 | 3 | 6 | 7 | DWW | |
| 8 | 3 | 2 | 1 | 0 | 9 | 5 | 4 | 7 | DWW | |
| 9 | 3 | 2 | 1 | 0 | 4 | 2 | 2 | 7 | DWW | |
| 10 | 3 | 2 | 0 | 1 | 6 | 2 | 4 | 6 | WWL | |
| 11 | 3 | 2 | 0 | 1 | 5 | 4 | 1 | 6 | LWW | |
| 12 | 3 | 2 | 0 | 1 | 5 | 6 | -1 | 6 | LWW | |
| 13 | 3 | 1 | 2 | 0 | 4 | 3 | 1 | 5 | DWD | |
| 14 | 3 | 1 | 1 | 1 | 8 | 3 | 5 | 4 | WDL | |
| 15 | 3 | 1 | 1 | 1 | 8 | 5 | 3 | 4 | DLW | |
| 16 | 3 | 1 | 1 | 1 | 5 | 3 | 2 | 4 | LDW | |
| 17 | 3 | 1 | 1 | 1 | 3 | 3 | 0 | 4 | WDL | |
| 18 | 3 | 1 | 1 | 1 | 3 | 4 | -1 | 4 | LWD | |
| 19 | 3 | 1 | 1 | 1 | 1 | 3 | -2 | 4 | WLD | |
| 20 | 3 | 1 | 1 | 1 | 5 | 8 | -3 | 4 | WDL | |
| 21 | 3 | 1 | 1 | 1 | 3 | 6 | -3 | 4 | DLW | |
| 22 | 3 | 1 | 0 | 2 | 4 | 3 | 1 | 3 | WLL | |
| 23 | 3 | 1 | 0 | 2 | 5 | 5 | 0 | 3 | WLL | |
| 24 | 3 | 1 | 0 | 2 | 4 | 5 | -1 | 3 | LWL | |
| 25 | 3 | 1 | 0 | 2 | 3 | 4 | -1 | 3 | WLL | |
| 26 | 3 | 1 | 0 | 2 | 3 | 4 | -1 | 3 | LLW | |
| 27 | 3 | 1 | 0 | 2 | 4 | 6 | -2 | 3 | LWL | |
| 28 | 3 | 1 | 0 | 2 | 4 | 7 | -3 | 3 | LLW | |
| 29 | 3 | 0 | 1 | 2 | 2 | 7 | -5 | 1 | DLL | |
| 30 | 3 | 0 | 1 | 2 | 1 | 6 | -5 | 1 | LLD | |
| 31 | 3 | 0 | 1 | 2 | 2 | 9 | -7 | 1 | LDL | |
| 32 | 3 | 0 | 1 | 2 | 1 | 9 | -8 | 1 | DLL | |
| 33 | 3 | 0 | 0 | 3 | 2 | 7 | -5 | 0 | LLL | |
| 34 | 3 | 0 | 0 | 3 | 1 | 6 | -5 | 0 | LLL | |
| 35 | 3 | 0 | 0 | 3 | 3 | 9 | -6 | 0 | LLL | |
| 36 | 3 | 0 | 0 | 3 | 2 | 11 | -9 | 0 | LLL |
How the model works, and how we tested it
Every club gets one strength rating, updated after each match in the national leagues we cover and in the European cups. Because clubs meet across leagues in Europe, strength flows between the leagues and every club ends up on the same scale.
Ratings as of 26 October 2026: the newest match result the rating has learned from. Matches played after that date are not in it yet.
We ran the model over 3,119 European matches from 2015/16 to 2025/26, using only what it could have known before each one. It beat a guess based on how often home wins, draws and away wins happen (log loss 0.962 against 1.047, lower is better), and when it says 60% the result happened about 60 times in 100. It has not been compared with bookmaker prices.
The final is played at a stadium chosen in advance, so the model gives neither club home advantage in it. Every other match counts as a home match for the first-named club.
The small number under each probability is the price with no bookmaker cut: 1 divided by our probability. A real bookmaker pays less.

