What a window counts
Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.
All markets last 10 games
Compared with a Premier League central midfielder, 25/26, 2,542 appearances
Five selections from the player report, free in your inbox
Picked from 20 selections across 10 matches on this week’s slate, each with its record and the market price.
Confirmed by a link. Unsubscribe in one click. Or open the player report.
Over the last 10 Premier League games, Pierre-Emile Højbjerg has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 40%, 1+ foul committed in 40%, 1+ foul won in 20%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.
Comparable central midfielders
Pierre-Emile Højbjerg has no Premier League record yet, so this profile is drawn from the UEFA Champions League 25/26 season. These are the closest 5 Premier League central midfielders by standing within their own league — not by matching output, which does not carry across leagues. A reference for the rates above, not a forecast.
| Player | Apps | Shots/90 | Fouls/90 |
|---|---|---|---|
| Pierre-Emile HøjbjergOlympique de MarseilleUEFA Champions League | 8 | 0.82 | 1.23 |
| Daichi KamadaCrystal Palace | 28 | 0.90 | 1.42 |
| Amadou OnanaAston Villa | 25 | 0.96 | 1.01 |
| Reece JamesChelsea | 29 | 1.01 | 1.24 |
| Mateus FernandesTottenham Hotspur | 36 | 0.83 | 1.46 |
| Ethan AmpaduLeeds United | 35 | 0.75 | 1.44 |
| These 5, combined | 0.87 | 1.34 |
Recent matches
The last 10 games Pierre-Emile Højbjerg featured in — minutes and the counts that settle these markets.
| Match | Min | SoT | Shots | Fouls | Won | Tck | Cards |
|---|---|---|---|---|---|---|---|
| @ Sheffield United19 May | 24 | 0 | 1 | 0 | 0 | 1 | 0 |
| Man City14 May | 85 | 0 | 0 | 0 | 0 | 4 | 0 |
| Burnley11 May | 9 | 0 | 0 | 0 | 0 | 0 | 0 |
| @ Chelsea2 May | 27 | 1 | 2 | 1 | 0 | 0 | 0 |
| Arsenal28 Apr | 64 | 0 | 0 | 1 | 0 | 3 | 0 |
| @ Newcastle13 Apr | 33 | 0 | 1 | 0 | 0 | 0 | 0 |
| Nottingham Forest7 Apr | 45 | 2 | 3 | 1 | 1 | 0 | 0 |
| @ West Ham2 Apr | 8 | 0 | 0 | 0 | 0 | 0 | 0 |
| Luton30 Mar | 12 | 0 | 0 | 1 | 0 | 1 | 1 |
| @ Fulham16 Mar | 24 | 0 | 0 | 0 | 1 | 0 | 0 |
Raw counts from every match on record, across 11 current Premier League officials — the model applies each official's overall card tendency, not this split. All Premier League referees
Frequently asked
How often does Pierre-Emile Højbjerg have a shot on target?
Over the last 10 Premier League games, Pierre-Emile Højbjerg has hit 1+ shot on target in 20% (2 of 10). That's the raw hit rate from completed matches; SharpXI's model turns it into a true probability by adjusting for the opponent and expected minutes, then compares it with the bookmaker's price as offered.
How many shots on target does Pierre-Emile Højbjerg average?
Across the last 10 Premier League games, Pierre-Emile Højbjerg is averaging 0.82 shots on target and 1.90 total shots per 90 minutes. SharpXI treats that as a starting rate, then adjusts for the opponent and expected minutes before pricing a 1+ or 2+ line.
How often does Pierre-Emile Højbjerg get booked?
Pierre-Emile Højbjerg is averaging 0.27 cards per 90 over the last 10 games. Bookings swing heavily on the referee, so the model multiplies a player's base rate by each official's card tendency — the biggest single lever in the to-be-carded market.
Does Pierre-Emile Højbjerg commit or win more fouls?
Over the last 10 games Pierre-Emile Højbjerg commits 1.09 fouls per 90 and wins 0.54 — committing more than winning. Fouls committed and fouls won are separate markets, each modelled from the player's rate and the opponent faced.
Which player markets does SharpXI model for Pierre-Emile Højbjerg?
Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, compared with the bookmaker's price as offered. Pierre-Emile Højbjerg plays as a midfielder.
Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors before flagging value, and compares against the bookmaker's price as offered — player markets are priced one side only, so that price still carries the bookmaker's margin. 18+ — please gamble responsibly.