Profile
Season stats
Full career & schedule →Domestic-league season · Al-Fayha.
Performance data · by competition
| Competition | Apps | G | A | Min | Match |
|---|---|---|---|---|---|
 Pro League | 31 | 0 | 2 | 2695 | 6.74 |
Scout report
Mohammed Al Baqawi is a 31-year-old full-back at Al-Fayha, rated 30.3 overall by Field Insider's model, ranking 205th of 317 on scout potential in the Pro League. A seasoned veteran, he has been an ever-present this season (88.1% of available minutes). His defensive output reads 2.27 tackles, blocks and interceptions per 90. Below: strengths, watch-points, market-value outlook and the latest transfer news on Baqawi.
Judged on this season alone, Baqawi graded 23 — a solid campaign that ranks top 40% of the 48 full-backs in the Pro League, on 6 clean sheets and 2.271 defensive actions per 90.
Year-on-year, that's a drop on last season (Season 27 → 23). Over the 5 seasons on record his form has drifted down, peaking in 2024/25.
On long-term talent our Rating reads 30, 37th of 48 of the 48 full-backs in the Pro League. At 31 Baqawi is into the veteran stage, where the age curve weighs on the projection, and a market index of 5.1 reflects that trajectory.
Below his 2024/25 peak but holding a solid level — the platform for a return is there.
Output in context · Al-Fayha finished 10th of 18 · a mid-table side
2.27 tackles, blocks & interceptions per 90 — moderate defensive volume, with 6 clean sheets across 31 appearances. Going forward he chipped in 0 goals and 2 assists — a useful bonus from the back.
Strengths
- Availability. On the pitch for 88.1% of available minutes — a dependable presence in the XI.
Watch points
- Age curve. At 31, both level and resale value are on the downslope.
- Level. Rates below a nailed-on top-tier starter on our model.
Outlook
With a Rating of 30.3, Baqawi carries the 37th-highest potential of the full-backs in the Pro League of 48. Defensively he reads as moderate defensive volume (2.27 tackles, blocks & interceptions per 90). Veteran phase — a short-term, lower-fee proposition as both level and value decline (0.9× and falling).
Generated from Field Insider's rating model · AI-written analysis to follow.
