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 …
UPDATE
UI/UX Improvements And Asian Handicap Support
15 Nov 2026
- UI/UX Improvements Across /App - Asian Handicap Support on Bet Tracking
VIDEO
The Predictions Show: Nations League & EFL
13 Nov 2026
🗣️ No major European leagues? No problem. Join founder Joe as he looks through some of the biggest games this weekend from the Nations Leag…
NEW
5 New Livescore Page Updates
12 Nov 2026
1. A new dropdown allowing you to jump to related or popular fixtures 2. Quickly view /simulations, and /bet-builder pages for a specific f…
No guide matches yet. Press enter to search the full text.
Taufik Suparno (Tanjong Pagar) and Pablo Aránguiz (Unión Española) side by side: every stat per 90 minutes, on current form and this season. Both compared with wingers at a similar level.
Pablo Aránguiz leads on 7 of 11 metrics to Taufik Suparno's 3. Taufik Suparno is clearest ahead for dribble success, ball recoveries and tackles; Pablo Aránguiz is clearest ahead for final-third passes, assists and successful dribbles. Both compared with wingers at a similar level.
Pablo Aránguiz averages 0.11 non-penalty goals per 90 on current form, ahead of Taufik Suparno on 0.10.
Pablo Aránguiz averages 0.08 assists per 90 on current form, ahead of Taufik Suparno on 0.00.
Pablo Aránguiz averages 1.77 key passes per 90 on current form, ahead of Taufik Suparno on 1.59.
Taufik Suparno averages 0.57 tackles per 90 on current form, ahead of Pablo Aránguiz on 0.47.
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.
