Leeds v Newcastle
How the SharpXI model rated this Premier League fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Leeds beat Newcastle 4–1, the SharpXI model made 14 confident calls on the player markets and 13 landed — the strongest being Anton Stach for 1+ tackles (91%, had 2). Its clearest miss: Matías Fernández-Pardo for 1+ shots total (89%, 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.
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 |
|---|---|---|---|---|---|
| James Justin | tackles | 1+ | 91% | 2 | ✓ |
| Anton Stach | tackles | 1+ | 91% | 2 | ✓ |
| Dominic Calvert-Lewin | shots total | 1+ | 89% | 4 | ✓ |
| Bazoumana Touré | shots total | 1+ | 89% | 1 | ✓ |
| Noah Okafor | shots total | 1+ | 89% | 2 | ✓ |
| Harvey Barnes | shots total | 1+ | 89% | 2 | ✓ |
| Yoane Wissa | shots total | 1+ | 89% | 1 | ✓ |
| Matías Fernández-Pardo | shots total | 1+ | 89% | 0 | ✗ |
| Joe Willock | shots total | 1+ | 89% | 2 | ✓ |
| Anton Stach | shots total | 1+ | 85% | 1 | ✓ |
| Lewis Hall | tackles | 1+ | 84% | 4 | ✓ |
| Ao Tanaka | tackles | 1+ | 84% | 2 | ✓ |
| Ethan Ampadu | tackles | 1+ | 84% | 1 | ✓ |
| Dominic Calvert-Lewin | fouls committed | 1+ | 84% | 1 | ✓ |
How these are modelled: Tackles Shots total Fouls committed
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 61% | Yes | ✓ |
| Match goals | O2.5 | 58% | 5 goals | ✓ |
| Match cards | O4.5 | 30% | 3 cards | ✗ |
How these are modelled: BTTS Match cards
Dig deeper
Past meetings
- Newcastle 4–3 Leeds Jan 2026
- Leeds 0–0 Newcastle Aug 2025
- Leeds 2–2 Newcastle May 2023
- Newcastle 0–0 Leeds Dec 2022
Frequently asked
How did the SharpXI model do on Leeds v Newcastle?
13 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 Leeds v Newcastle?
The most confident call it got wrong was Matías Fernández-Pardo at 89% for shots total — 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 Premier League?
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.