NEW
Introducing New Bet Builder Tool
4 Nov 2026
Build bet builders with the stats switched on. This new innovative tool combines the UI you are familiar with when you place bet builders a…
BETA
VigShift Beta Now Open on OddAlerts!
30 Oct 2026
VigShift watches the sharp market on every match. When informed money hits a price and it drops fast, you get a push within a second, with …
NEWS
The first round of updates to the new Bet Builder
6 Nov 2026
- Top Picks Section on Fixtures - New Overview Section on Index - More Leagues Added (FA Cup, MLS, Belgian Pro, Etc) - Improved Layout on D…
VIDEO
Predictions Show Episode Featuring Bet Builder
6 Nov 2026
🗣️ In this episode of the Predictions Show, founder Joe takes the new Bet Builder tool for a spin to create some interesting combinations f…
NEW
Introducing The Pulse Feature For Insights
6 Nov 2026
It lives at the top of the fixture feed and will show you all of the interesting data it has found across the many tools and metrics on Odd…
No guide matches yet. Press enter to search the full text.
Arnaud Kalimuendo (Nottingham Forest) and Troy Parrott (Real Betis) side by side: every stat per 90 minutes, on current form and this season. Both compared with strikers in the elite leagues.
Troy Parrott leads on 7 of 12 metrics to Arnaud Kalimuendo's 5. Arnaud Kalimuendo is clearest ahead for successful dribbles, goals above xG and fouls won; Troy Parrott is clearest ahead for assists, aerials won and expected goals (xG). Both compared with strikers in the elite leagues.
Arnaud Kalimuendo averages 0.28 non-penalty goals per 90 on current form, ahead of Troy Parrott on 0.27.
Troy Parrott averages 0.20 assists per 90 on current form, ahead of Arnaud Kalimuendo on 0.02.
Troy Parrott averages 1.51 key passes per 90 on current form, ahead of Arnaud Kalimuendo on 1.45.
Every stat is per 90 minutes or a rate from club matches. Form weights recent matches most heavily; Season uses only this club season. The player with the higher number wins each metric, except ball security where fewer losses is better. Percentiles show where each player sits against others in his own role and level.
