Liverpool v Southampton
How the SharpXI model rated this EFL Cup fixture — every call it made on shots, fouls and tackles, set against what actually happened on the day.
Before Liverpool beat Southampton 2–1, the SharpXI model made 14 confident calls on the player markets and 9 landed — the strongest being Wataru Endo for 1+ tackles (94%, had 5). Its clearest miss: Leo Scienza for 1+ fouls drawn (91%, had 0). Every probability here was published before kick-off, priced the same way as every other fixture — one game is noise, not a verdict.
9 matches on record — too few to quote a card rate against. See the record
Player markets — the model's calls
Each probability is the model's own number for the headline (1+) line, before any bookmaker margin. The result column is what the player actually recorded.
| Player | Market | Line | Model | Actual | Result |
|---|---|---|---|---|---|
| Wataru Endo | tackles | 1+ | 94% | 5 | ✓ |
| Federico Chiesa | shots total | 1+ | 92% | 4 | ✓ |
| Hugo Ekitiké | shots total | 1+ | 92% | 3 | ✓ |
| Leo Scienza | fouls drawn | 1+ | 91% | 0 | ✗ |
| Shea Charles | fouls drawn | 1+ | 90% | 0 | ✗ |
| Alexander Isak | shots total | 1+ | 89% | 2 | ✓ |
| Adam Armstrong | shots total | 1+ | 89% | 3 | ✓ |
| Shea Charles | tackles | 1+ | 88% | 1 | ✓ |
| Caspar Jander | tackles | 1+ | 88% | 1 | ✓ |
| Wataru Endo | fouls committed | 1+ | 87% | 1 | ✓ |
| Curtis Jones | tackles | 1+ | 84% | 0 | ✗ |
| Damion Downs | shots total | 1+ | 84% | 0 | ✗ |
| Leo Scienza | shots total | 1+ | 84% | 4 | ✓ |
| Jay Robinson | shots total | 1+ | 84% | 0 | ✗ |
How these are modelled: Tackles Shots total Fouls drawn Fouls committed
Dig deeper
Past meetings
- Liverpool 3–1 Southampton Mar 2025
- Southampton 1–2 Liverpool Dec 2024
- Southampton 2–3 Liverpool Nov 2024
- Southampton 4–4 Liverpool May 2023
- Liverpool 3–1 Southampton Nov 2022
Frequently asked
How did the SharpXI model do on Liverpool v Southampton?
9 of its 14 most-confident calls landed. The board on this page lists every one with the model's pre-kickoff probability next to what actually happened, hits and misses in the same table.
What did the model get wrong on Liverpool v Southampton?
The most confident call it got wrong was Leo Scienza at 91% for fouls drawn — shown in the same table as the hits, marked with a cross. A record that hides its misses isn't a record, so we don't.
Are these probabilities hindsight?
No. Each one is the number the model produced from data available before kick-off, using the same settings as every other fixture on the site — nothing was refitted after the result. That is the only way a per-match report means anything.
Does one match tell you if the model is any good in the EFL Cup?
No, and we'd rather say so. A single fixture is a handful of calls and mostly noise; the season-long, market-by-market record — including the markets that fail to beat a naive guess — is on the track record page.
SharpXI models probabilities from public match data; it does not take bets or guarantee outcomes. Prices are entered per leg in the tool. 18+ — please gamble responsibly.