Profile
Season stats
Full career & schedule →Domestic-league season · Le Havre.
Performance data · by competition
| Competition | Apps | G | A | Min | Match |
|---|---|---|---|---|---|
 Ligue 1 | 14 | 0 | 0 | 381 | 6.65 |
Scout report
T. Pembélé is a 23-year-old full-back at Le Havre, rated 61.9 overall by Field Insider's model. An emerging talent, he has been a fringe squad member this season (12.8% of available minutes). His defensive output reads 3.54 tackles, blocks and interceptions per 90. Below: strengths, watch-points, market-value outlook and the latest transfer news on Pembélé.
On the season, Pembélé graded 6 for current form (age-blind), on 1 clean sheet and 3.543 defensive actions per 90.
Year-on-year, that's a drop on last season (Season 11 → 6). Over the 6 seasons on record his form has drifted down, peaking in 2024/25.
On long-term talent our Rating reads 62. At 23 Pembélé is still climbing toward his ceiling, and a market index of 36.1 reflects that trajectory.
Below his 2024/25 peak but holding a solid level — the platform for a return is there.
Output in context · Le Havre finished 14th of 18 · a lower-table side
3.54 tackles, blocks & interceptions per 90 — solid defensive volume, with 1 clean sheet across 14 appearances. Doing that for a lower-table side (14th of 18) is harder than the bare numbers suggest: a back line under more pressure has to defend more often and protects fewer leads, so the volume — and any clean sheets — carry real weight.
Strengths
- Defensive volume. 3.54 tackles, blocks & interceptions per 90 — does the unseen work.
Watch points
- Game time. Only 12.8% of available minutes — needs a settled run to prove the level.
Outlook
Rated 61.9 overall — a strong, regular top-tier starter. Defensively he reads as solid defensive volume (3.54 tackles, blocks & interceptions per 90). Approaching peak years; value is still building (price multiplier 2×) with the best seasons likely ahead. With this floor already at 23, the ceiling gets tested by a step up in level — one to track.
Generated from Field Insider's rating model · AI-written analysis to follow.
