Joško Gvardiol
Centre-back 67% of 24 recent starts RB LeipzigBundesliga 22/23
Also in: Premier League
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 Bundesliga centre-back, 25/26, 1,091 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 Bundesliga games, Joško Gvardiol has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 50%, 1+ foul committed in 50%, 1+ foul won in 10%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.
Comparable centre-backs
Joško Gvardiol has no Bundesliga record yet, so this profile is drawn from the Premier League 25/26 season. These are the closest 5 Bundesliga centre-backs 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 |
|---|---|---|---|
| Joško GvardiolManchester CityPremier League | 18 | 1.11 | 1.05 |
| Konstantinos KoulierakisAS Roma | 31 | 0.90 | 1.07 |
| Denis VavroVfL Wolfsburg | 19 | 0.83 | 0.64 |
| Jeffrey GouweleeuwFC Augsburg | 11 | 0.53 | 0.74 |
| Hiroki ItōFC Bayern München | 16 | 0.97 | 0.97 |
| Patrick Mainka1. FC Heidenheim | 34 | 1.09 | 0.32 |
| These 5, combined | 0.93 | 0.70 |
Recent matches
The last 10 games Joško Gvardiol featured in — minutes and the counts that settle these markets.
| Match | Min | SoT | Shots | Fouls | Won | Tck | Cards |
|---|---|---|---|---|---|---|---|
| @ FC Bayern München20 May | 87 | 0 | 0 | 2 | 0 | 1 | 1 |
| SV Werder Bremen14 May | 19 | 0 | 0 | 0 | 0 | 0 | 0 |
| TSG Hoffenheim29 Apr | 59 | 0 | 0 | 0 | 0 | 0 | 0 |
| @ Bayer 04 Leverkusen23 Apr | 90 | 0 | 2 | 1 | 0 | 1 | 0 |
| FC Augsburg15 Apr | 90 | 1 | 1 | 0 | 1 | 2 | 0 |
| @ Hertha BSC8 Apr | 90 | 0 | 1 | 2 | 0 | 2 | 0 |
| 1. FSV Mainz 051 Apr | 71 | 0 | 0 | 1 | 0 | 0 | 0 |
| @ VfL Bochum 184818 Mar | 90 | 0 | 1 | 0 | 0 | 2 | 0 |
| Borussia M'gladbach11 Mar | 90 | 1 | 1 | 0 | 0 | 2 | 0 |
| @ Borussia Dortmund3 Mar | 90 | 0 | 0 | 1 | 0 | 1 | 0 |
Raw counts from every match on record, across 2 current Bundesliga officials — the model applies each official's overall card tendency, not this split. All Bundesliga referees
Frequently asked
How often does Joško Gvardiol have a shot on target?
Over the last 10 Bundesliga games, Joško Gvardiol 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 Joško Gvardiol average?
Across the last 10 Bundesliga games, Joško Gvardiol is averaging 0.23 shots on target and 0.70 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 Joško Gvardiol get booked?
Joško Gvardiol is averaging 0.12 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 Joško Gvardiol commit or win more fouls?
Over the last 10 games Joško Gvardiol commits 0.81 fouls per 90 and wins 0.12 — 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 Joško Gvardiol?
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. Joško Gvardiol plays as a defender.
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.