Newcastle v Tottenham
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 Newcastle beat Tottenham 2–0, the SharpXI model made 14 confident calls on the player markets and 10 landed — the strongest being Harvey Barnes for 1+ shots total (97%, had 2). Its clearest miss: Joe Willock for 1+ tackles (90%, 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.
5 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 |
|---|---|---|---|---|---|
| Nick Woltemade | shots total | 1+ | 97% | 1 | ✓ |
| Harvey Barnes | shots total | 1+ | 97% | 2 | ✓ |
| João Palhinha | tackles | 1+ | 94% | 1 | ✓ |
| Lucas Bergvall | tackles | 1+ | 90% | 2 | ✓ |
| Joe Willock | tackles | 1+ | 90% | 0 | ✗ |
| Richarlison | shots total | 1+ | 84% | 4 | ✓ |
| Pedro Porro | tackles | 1+ | 84% | 4 | ✓ |
| Rodrigo Bentancur | tackles | 1+ | 84% | 5 | ✓ |
| Randal Kolo Muani | shots total | 1+ | 83% | 0 | ✗ |
| Joe Willock | shots total | 1+ | 83% | 2 | ✓ |
| Anthony Elanga | shots total | 1+ | 83% | 0 | ✗ |
| Sandro Tonali | shots total | 1+ | 83% | 0 | ✗ |
| Fabian Schär | shots total | 1+ | 83% | 2 | ✓ |
| Randal Kolo Muani | fouls committed | 1+ | 82% | 1 | ✓ |
How these are modelled: Shots total Tackles Fouls committed
Dig deeper
Past meetings
- Tottenham 0–2 Newcastle Aug 2026
- Tottenham 1–2 Newcastle Feb 2026
- Newcastle 2–2 Tottenham Dec 2025
- Tottenham 1–2 Newcastle Jan 2025
- Newcastle 2–1 Tottenham Sep 2024
- Newcastle 4–0 Tottenham Apr 2024
- Tottenham 4–1 Newcastle Dec 2023
- Newcastle 6–1 Tottenham Apr 2023
Frequently asked
How did the SharpXI model do on Newcastle v Tottenham?
10 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 Newcastle v Tottenham?
The most confident call it got wrong was Joe Willock at 90% for tackles — 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.