Player Data API Upgraded Today
3 Nov 2026
I would like to thank everyone that has used the Player Data Beta via the API since it went live earlier this year. We have made huge updat…
Champions League Predictions For Tuesday
3 Nov 2026
Founder Joe has been busy digging into the data for Tuesday's Champions League fixtures, including Bayern Munich's drifting price away at A…
New API Feature: Value Bet Alert History
3 Nov 2026
Coming to the API today, you can now view the timing and history of your value bet alerts. This works with the /value/you feed, so you can …
1H Goals Model Update Live
2 Nov 2026
We have pushed an update to our 1H goals model, making it even more reliable for sizing up games that may or may not see a 1H goal being sc…
Dropping Odds Page Enhanced
1 Nov 2026
We continue to update core tools on the site to match our new design language, and next up is the Dropping Odds page. The table of dropping…
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Min-su Kim (Rangers) and Sami Jalal (Viborg FF) side by side: every stat per 90 minutes, on current form and this season. Both compared with wingers in major leagues.
Min-su Kim leads on 7 of 12 metrics to Sami Jalal's 5. Min-su Kim is clearest ahead for shots, expected goals (xG) and accurate crosses; Sami Jalal is clearest ahead for tackles, assists and ball recoveries. Both compared with wingers in major leagues.
Sami Jalal averages 0.03 non-penalty goals per 90 on current form, ahead of Min-su Kim on 0.02.
Sami Jalal averages 0.18 assists per 90 on current form, ahead of Min-su Kim on 0.06.
Min-su Kim averages 2.36 key passes per 90 on current form, ahead of Sami Jalal on 2.29.
Sami Jalal averages 1.64 tackles per 90 on current form, ahead of Min-su Kim on 1.01.
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.
