
Profile
Season stats
Full career & schedule →Domestic-league season · Sunderland.
Performance data · by competition
| Competition | Apps | G | A | Min | Match |
|---|---|---|---|---|---|
Premier League | 28 | 0 | 0 | 1715 | 6.83 |
FA Cup | 2 | 0 | 0 | 180 | 6.85 |
Scout report
L. Geertruida is a 26-year-old full-back at Sunderland, rated 71.7 overall by Field Insider's model, ranking 200th of 376 on scout potential in the Premier League. In his prime years, he has been a rotation option this season (50.1% of available minutes). His defensive output reads 3.46 tackles, blocks and interceptions per 90. Below: strengths, watch-points, market-value outlook and the latest transfer news on Geertruida.
Judged on this season alone, Geertruida graded 29 — a workmanlike campaign that ranks 33rd of 64 of the 64 full-backs in the Premier League, on 6 clean sheets and 3.464 defensive actions per 90.
Year-on-year, that's a drop on last season (Season 34 → 29). Over the 6 seasons on record his form has drifted down, peaking in 2023/24.
On long-term talent our Rating reads 72, 38th of 64 of the 64 full-backs in the Premier League. At 26 Geertruida is in his prime years, and a market index of 86 reflects that trajectory.
Past his 2023/24 peak — the recent trend is downward, so buyers are paying for what's left, not what was.
Output in context · Sunderland finished 7th of 20 · a mid-table side
3.46 tackles, blocks & interceptions per 90 — moderate defensive volume, with 6 clean sheets across 28 appearances.
Strengths
- Pedigree. Performing in a top-tier setting (team strength 96.8/100).
Watch points
- Game time. Only 50.1% of available minutes — needs a settled run to prove the level.
Outlook
With a Rating of 71.7, Geertruida carries the 38th-highest potential of the full-backs in the Premier League of 64. Defensively he reads as moderate defensive volume (3.46 tackles, blocks & interceptions per 90). In the prime window — at or near peak market value, so the next two seasons are the ones to cash in or build around.
Generated from Field Insider's rating model · AI-written analysis to follow.










