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La Liga 26/27
GI

Giorgi Kochorashvili

Midfielder SevillaLa Liga 26/27

Next match
Sevilla at Levante UD›
Mon 12 Oct

Shot map Foul map

Last games
max 5 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 5 games

Compared with a La Liga midfielder, 25/26, 4,673 appearances

Bet line
Odds
Bookmaker
MarketHit rateModel
Shots on target0.00 per 90
0%
0 of 5
3.40MGMEdge
Total shots1.95 per 90
60%
3 of 51.2×
1.30PPEdge
Fouls won0.97 per 90
40%
2 of 50.7×
1.14bet365Edge
Fouls committed1.46 per 90
60%
3 of 51.1×
1.18bet365Edge
Tackles3.41 per 90
60%
3 of 51.0×
0%
0 of 4
Cards0.49 per 90
20%
1 of 51.4×
4.33bet365Edge
Goals0.00 per 90
0%
0 of 5
form only
Assists0.49 per 90
20%
1 of 52.6×
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 5 La Liga games, Giorgi Kochorashvili has hit 1+ shot on target in 0% (0 of 5), 1+ total shot in 60%, 1+ foul committed in 60%, 1+ foul won in 40%, and been booked in 20% (1 of 5). These are raw hit rates from completed matches, not odds.

last 5

Comparable central midfielders

The closest 5 profiles to Giorgi Kochorashvili in La Liga, 26/27 — drawn from 29 central midfielders with 450 or more minutes. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Giorgi KochorashviliSevilla 51.95 1.46
Urko GonzálezEspanyol 80.19 1.71
Jon MoncayolaOsasuna 70.37 1.10
Antonio BlancoDeportivo Alavés 71.20 2.05
Carlos DotorMálaga CF 70.73 1.45
Dani LorenzoMálaga CF 70.36 0.90
These 5, combined 0.58 1.45

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 5 games Giorgi Kochorashvili featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
FC Barcelona19 Sep 68 0 0 0 0 4 0
@ Deportivo de A Coruña16 Sep 9 0 1 0 0 0 0
Valencia11 Sep 19 0 1 1 0 0 0
@ Espanyol6 Sep 54 0 0 1 1 1 1
Atlético Madrid30 Aug 35 0 2 1 1 2 0

Frequently asked

How often does Giorgi Kochorashvili have a shot on target?

Over the last 5 La Liga games, Giorgi Kochorashvili has hit 1+ shot on target in 0% (0 of 5). 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 Kochorashvili average?

Across the last 5 La Liga games, Giorgi Kochorashvili is averaging 0.00 shots on target and 1.95 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 Kochorashvili get booked?

Giorgi Kochorashvili is averaging 0.49 cards per 90 over the last 5 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 Kochorashvili commit or win more fouls?

Over the last 5 games Giorgi Kochorashvili commits 1.46 fouls per 90 and wins 0.97 — 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 Kochorashvili?

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 Kochorashvili 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.