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SharpXI©
La Liga 26/27
GI

Giorgi Tsitaishvili

Forward Rayo VallecanoLa Liga 26/27

Also in: Ligue 1

Next match
Rayo Vallecano vs Athletic Club›
Sat 10 OctReferee José María Sánchez Martínez

Shot map Foul map

Last games
max 4 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 4 games

Compared with a La Liga forward, 25/26, 2,676 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.90 per 90
25%
1 of 40.7×
2.70MGMEdge
Total shots2.69 per 90
50%
2 of 40.8×
1.33MGMEdge
Fouls won0.00 per 90
0%
0 of 4
1.25PPEdge
Fouls committed0.45 per 90
25%
1 of 40.6×
1.62bet365Edge
Tackles0.45 per 90
25%
1 of 40.7×
25%
1 of 42.6×
Cards0.45 per 90
25%
1 of 42.4×
4.50PPEdge
Goals0.00 per 90
0%
0 of 4
form only
Assists0.00 per 90
0%
0 of 4
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 4 La Liga games, Giorgi Tsitaishvili has hit 1+ shot on target in 25% (1 of 4), 1+ total shot in 50%, 1+ foul committed in 25%, 1+ foul won in 0%, and been booked in 25% (1 of 4). These are raw hit rates from completed matches, not odds.

last 4

Comparable wingers

The closest 5 profiles to Giorgi Tsitaishvili in La Liga, 26/27 — drawn from 7 wingers with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Giorgi TsitaishviliRayo Vallecano 42.69 0.45
Sergio CanalesReal Racing Club 72.31 0.89
Álvaro GarcíaRayo Vallecano 71.87 0.85
Tyrhys DolanEspanyol 71.22 1.75
AntonyReal Betis 75.49 1.20
RaphinhaFC Barcelona 74.05 0.49
These 5, combined 3.01 1.03

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 4 games Giorgi Tsitaishvili featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Osasuna19 Sep 19 0 0 0 0 0 0
Espanyol15 Sep 76 0 3 1 0 0 1
@ Real Madrid12 Sep 90 2 3 0 0 1 0
Real Racing Club5 Sep 16 0 0 0 0 0 0

Frequently asked

How often does Giorgi Tsitaishvili have a shot on target?

Over the last 4 La Liga games, Giorgi Tsitaishvili has hit 1+ shot on target in 25% (1 of 4). 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 Giorgi Tsitaishvili average?

Across the last 4 La Liga games, Giorgi Tsitaishvili is averaging 0.90 shots on target and 2.69 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 Giorgi Tsitaishvili get booked?

Giorgi Tsitaishvili is averaging 0.45 cards per 90 over the last 4 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 Giorgi Tsitaishvili commit or win more fouls?

Over the last 4 games Giorgi Tsitaishvili commits 0.45 fouls per 90 and wins 0.00 — 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 Giorgi Tsitaishvili?

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. Giorgi Tsitaishvili plays as a forward.

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.