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Bundesliga 25/26
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Václav Černý

Winger 83% of 12 recent starts VfL WolfsburgBundesliga 25/26

Last games
max 24 on record
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 winger, 25/26, 865 appearances

Bet line
MarketHit rateModel
Shots on target0.33 per 90
10%
1 of 100.3×
Total shots1.65 per 90
40%
4 of 100.6×
Fouls won0.66 per 90
10%
1 of 100.2×
Fouls committed0.66 per 90
20%
2 of 100.5×
Tackles0.66 per 90
20%
2 of 100.4×
0%
0 of 10
Cards0.00 per 90
0%
0 of 10
Goals0.33 per 90
10%
1 of 100.7×
form only
Assists0.00 per 90
0%
0 of 10
form only
Hit rate, per-90 and the market price are free. Switch the bet line above — each carries its own price where the bookmaker offers one. What’s paid is the model’s edge: whether that price is wrong. Rare tails the model can’t beat, like 3+ on target, stay hit-rate-only.

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.

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Over the last 10 Bundesliga games, Václav Černý has hit 1+ shot on target in 10% (1 of 10), 1+ total shot in 40%, 1+ foul committed in 20%, 1+ foul won in 10%, and been booked in 0% (0 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable wingers

The closest 5 profiles to Václav Černý in Bundesliga, 25/26 — drawn from 29 wingers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Václav ČernýVfL Wolfsburg 21.96 0.00
Antonio NusaRB Leipzig 312.70 0.40
Samuel MbangulaBologna 261.29 0.30
Hugo BolinBorussia M'gladbach 132.45 0.33
Arnaud NordinStade Rennais 132.47 0.76
Giovanni ReynaRC Strasbourg 191.20 0.86
These 5, combined 2.13 0.45

No close match — the nearest profile sits well outside the usual range, so read these five as the closest available rather than as like-for-like.

Recent matches

The last 10 games Václav Černý featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
1. FSV Mainz 0531 Aug 45 0 1 0 2 0 0
@ 1. FC Heidenheim23 Aug 1 0 0 0 0 0 0
1. FSV Mainz 0518 May 14 0 0 0 0 0 0
@ FC Bayern München12 May 11 0 0 0 0 1 0
Darmstadt 984 May 8 1 2 0 0 0 0
Borussia M'gladbach7 Apr 17 0 0 0 0 1 0
VfB Stuttgart2 Mar 45 0 1 1 0 0 0
@ 1. FC Union Berlin10 Feb 16 0 1 0 0 0 0
TSG Hoffenheim4 Feb 45 0 0 0 0 0 0
1. FC Köln27 Jan 71 0 0 1 0 0 0

Frequently asked

How often does Václav Černý have a shot on target?

Over the last 10 Bundesliga games, Václav Černý has hit 1+ shot on target in 10% (1 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 Václav Černý average?

Across the last 10 Bundesliga games, Václav Černý is averaging 0.33 shots on target and 1.65 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 Václav Černý get booked?

Václav Černý is averaging 0.00 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 Václav Černý commit or win more fouls?

Over the last 10 games Václav Černý commits 0.66 fouls per 90 and wins 0.66 — an even split. 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 Václav Černý?

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. Václav Černý 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.