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Eredivisie 26/27
TH

Thomas Van den Belt

Midfielder FC TwenteEredivisie 26/27

Next match
FC Twente vs FC Utrecht›
Sun 18 Oct
Last games
max 49 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 an Eredivisie midfielder, 25/26, 2,886 appearances

Bet line
Odds
MarketHit rateModel
Shots on target1.58 per 90
40%
4 of 101.5×
1.50bet365Edge
Total shots3.16 per 90
60%
6 of 101.1×
1.04bet365Edge
Fouls won1.05 per 90
20%
2 of 100.4×
Fouls committed1.32 per 90
30%
3 of 100.6×
Tackles2.11 per 90
50%
5 of 100.8×
0%
0 of 0
Cards0.00 per 90
0%
0 of 10
5.50bet365Edge
Goals0.53 per 90
10%
1 of 101.1×
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.

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Picked from 298 selections across 77 matches on this week’s slate, each with its record and the market price.

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In 26/27, Thomas Van den Belt has hit 1+ shot on target in 38% of 8 Eredivisie appearances (3 of 8), 1+ total shot in 62%, 1+ foul committed in 25%, 1+ foul won in 12%, and been booked in 0% (0 of 8). These are raw hit rates from completed matches, not odds.

last 10

Recent matches

The last 10 games Thomas Van den Belt featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
@ Fortuna Sittard10 Oct 23 0 1 0 1 1 0
PSV Eindhoven20 Sep 8 0 0 0 0 0 0
ADO Den Haag12 Sep 21 1 1 0 0 0 0
SC Telstar9 Sep 17 0 0 0 0 1 0
@ FC Groningen6 Sep 15 0 0 0 0 0 0
@ SC Cambuur30 Aug 30 1 1 1 0 3 0
PEC Zwolle16 Aug 10 1 1 0 0 0 0
@ SC Heerenveen9 Aug 68 0 2 1 0 1 0
Sparta Rotterdam10 May 79 3 6 0 3 0 0
@ AZ Alkmaar3 May 71 0 0 3 0 2 0
Officials on record
Allard Lindhout 6 games Thomas Van den Belt never booked 2.90cards/game 0.91×vs league
Joey Kooij 6 games Thomas Van den Belt never booked 3.37cards/game 1.06×vs league
Sander van der Eijk 5 games Thomas Van den Belt booked in 1 3.58cards/game 1.12×vs league
Marc Nagtegaal 4 games Thomas Van den Belt booked in 2 2.63cards/game 0.82×vs league

Raw counts from every match on record, across 8 current Eredivisie officials — the model applies each official's overall card tendency, not this split. All Eredivisie referees

Frequently asked

How often does Thomas Van den Belt have a shot on target?

In 26/27, Thomas Van den Belt has hit 1+ shot on target in 38% of 8 Eredivisie appearances (3 of 8). 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 Thomas Van den Belt average?

Across 8 Eredivisie appearances in 26/27, Thomas Van den Belt is averaging 1.41 shots on target and 2.81 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 Thomas Van den Belt get booked?

Thomas Van den Belt is averaging 0.00 cards per 90 this season. 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 Thomas Van den Belt commit or win more fouls?

This season Thomas Van den Belt commits 0.94 fouls per 90 and wins 0.47 — 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 Thomas Van den Belt?

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. Thomas Van den Belt 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.