Norwich v Luton
How the SharpXI model rated this Championship fixture — every call it made on shots, cards and fouls, set against what actually happened on the day.
Before Norwich beat Luton 4–2, the SharpXI model made 14 confident calls on the player markets and 14 landed — the strongest being Elijah Adebayo for 1+ fouls committed (83%, had 2). 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 |
|---|---|---|---|---|---|
| Elijah Adebayo | fouls committed | 1+ | 83% | 2 | ✓ |
| Cauley Woodrow | shots total | 1+ | 82% | 1 | ✓ |
| Borja Sainz | shots total | 1+ | 80% | 5 | ✓ |
| Kenny McLean | fouls drawn | 1+ | 78% | 4 | ✓ |
| Tahith Chong | fouls drawn | 1+ | 78% | 1 | ✓ |
| Jacob Brown | fouls drawn | 1+ | 78% | 1 | ✓ |
| Elijah Adebayo | shots total | 1+ | 76% | 4 | ✓ |
| Carlton Morris | fouls drawn | 1+ | 75% | 1 | ✓ |
| Carlton Morris | shots total | 1+ | 75% | 1 | ✓ |
| Jacob Brown | shots total | 1+ | 75% | 3 | ✓ |
| Carlton Morris | fouls committed | 1+ | 74% | 1 | ✓ |
| Emiliano Marcondes | fouls committed | 1+ | 73% | 3 | ✓ |
| Borja Sainz | fouls drawn | 1+ | 73% | 2 | ✓ |
| Kellen Fisher | fouls committed | 1+ | 72% | 1 | ✓ |
How these are modelled: Fouls committed · Shots total · Fouls drawn
Team & match markets
| Market | Line | Model | Actual | Result |
|---|---|---|---|---|
| BTTS | Yes | 54% | Yes | ✓ |
| Match goals | O2.5 | 51% | 6 goals | ✓ |
| Match cards | O4.5 | 49% | 3 cards | ✗ |
How these are modelled: BTTS · Match cards
Dig deeper
Past meetings
- Luton 0–1 Norwich Jan 2025
- Luton 2–1 Norwich Dec 2022
- Norwich 0–1 Luton Oct 2022
Frequently asked
How did the SharpXI model do on Norwich v Luton?
14 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 Norwich v Luton?
Every one of its confident calls landed this time — a single strong game, not a verdict. When the model does miss, those rows sit in the same table as the hits, marked with a cross; we never hide them.
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 Championship?
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.