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SharpXI©
La Liga 25/26
CY

Cyril Ngonge

Wide midfielder 67% of 6 recent starts MonzaLa Liga 25/26

Also in: Serie A

Next match
Monza vs Atlético Madrid›
Sat 17 Oct

Shot map Foul map

Last games
max 9 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 9 games

Compared with a La Liga wide midfielder, 25/26, 707 appearances

Bet line
MarketHit rateModel
Shots on target0.85 per 90
33%
3 of 91.2×
Total shots2.32 per 90
78%Hot
7 of 91.3×
Fouls won2.54 per 90
67%
6 of 91.2×
Fouls committed1.90 per 90
67%
6 of 91.4×
Tackles1.48 per 90
44%
4 of 90.8×
33%
3 of 92.9×
Cards0.85 per 90
44%
4 of 94.0×
Goals0.00 per 90
0%
0 of 9
form only
Assists0.42 per 90
22%
2 of 92.6×
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
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.

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Over the last 9 La Liga games, Cyril Ngonge has hit 1+ shot on target in 33% (3 of 9), 1+ total shot in 78%, 1+ foul committed in 67%, 1+ foul won in 67%, and been booked in 44% (4 of 9). These are raw hit rates from completed matches, not odds.

last 9

Comparable wingers

Cyril Ngonge has no La Liga record yet, so this profile is drawn from the Serie A 25/26 season. These are the closest 5 La Liga wingers 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.

PlayerAppsShots/90Fouls/90
Cyril NgongeMonzaSerie A 202.13 1.78
AntonyReal Betis 75.49 1.20
Sergio CanalesReal Racing Club 72.31 0.89
RaphinhaFC Barcelona 74.05 0.49
Lamine YamalFC Barcelona 75.89 1.08
Tyrhys DolanEspanyol 71.22 1.75
These 5, combined 3.86 1.07

Recent matches

The last 9 games Cyril Ngonge featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
Levante UD27 Apr 58 1 1 0 2 1 0
@ Rayo Vallecano23 Apr 12 1 2 1 0 0 1
@ FC Barcelona11 Apr 64 0 0 2 2 2 1
@ Real Betis4 Apr 78 0 1 2 4 0 0
Getafe21 Mar 45 0 1 1 0 2 0
Real Oviedo9 Mar 62 2 3 2 1 0 1
@ Atlético Madrid21 Feb 20 0 1 1 0 0 1
Celta Vigo14 Feb 56 0 0 0 1 0 0
@ Villarreal9 Feb 31 0 2 0 2 2 0

Frequently asked

How often does Cyril Ngonge have a shot on target?

Over the last 9 La Liga games, Cyril Ngonge has hit 1+ shot on target in 33% (3 of 9). 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 Cyril Ngonge average?

Across the last 9 La Liga games, Cyril Ngonge is averaging 0.85 shots on target and 2.32 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 Cyril Ngonge get booked?

Cyril Ngonge is averaging 0.85 cards per 90 over the last 9 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 Cyril Ngonge commit or win more fouls?

Over the last 9 games Cyril Ngonge commits 1.90 fouls per 90 and wins 2.54 — winning more than committing. 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 Cyril Ngonge?

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. Cyril Ngonge 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.