RisingTransfers
⬡ AI DNA · Live season
Al-Qadsiah

Best Alternatives to Ahmed Al-Kassar

GoalkeeperSaudi Arabia35yN/AFull profile →
Reliable Keeper
0.00G/90
0.00A/90

Based on 900 min · 2017/2018 · Pro League · FULL

Ranked by AI DNA similarity — playing style, pressing, and tactical fit. Below: the closest replacements with per-90 stats and form.

Note: Top DNA style matches can come from lower leagues. We also surface Pro League peers ranked by market value and league tier — scroll the full list below.
DNA matchDNA style match · see league & value below

Top 3 alternatives to Ahmed Al-Kassar

  1. Alessandro Calligaris85% match

    Inter · Serie A

  2. Daniel Mesenhöler84% match

    Dynamo Dresden · Bundesliga

  3. Florian Stritzel84% match

    Wehen Wiesbaden · Bundesliga

Style DNA can match players in weaker leagues. List below blends vector similarity with Pro League peers by value and league tier.

Ranked by RT Player DNA + league/value credibility. Scroll for full list, per-90 stats, and share cards.

Next: turn this shortlist into a card or a lineup.

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RT

Intelligence Verdict

Aerials WonTop 0%
???Bottom 0%

Ahmed Ali Al Kassar is a Reliable Keeper....

See Full Verdict + Share Card →

Playing Style Analysis

Reliable Keeper

Ahmed Ali Al Kassar is a Reliable Keeper. Consistent goalkeeper with a solid record. Statistically, he stands out as dominant in aerial duels (83% success) and keeps goals out effectively (0.40 conceded/90). The three closest DNA matches to Ahmed Al-Kassar:

  • Alessandro Calligaris(85% match) Alessandro Calligaris is a Reliable Keeper. Consistent goalkeeper with a solid record.
  • Daniel Mesenhöler(84% match) A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (91% success) and keeps goals out effectively (0.33 conceded/90).
  • Florian Stritzel(84% match) A Reliable Keeper. Statistically, he stands out as dominant in aerial duels (86% success) and keeps goals out effectively (0.53 conceded/90).

Similarity uses per-90 performance across playing-style dimensions. How Player DNA matching works →

Comparison Base
Ahmed Al-Kassar
GoalkeeperSaudi ArabiaPro LeagueN/A

Similar Players — Ranked by DNA Similarity

Show 8 more matches

Top 8 shown first · 16 total ranked by DNA + league fit.

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Download RT stat cards for Ahmed Al-Kassar vs Alessandro Calligaris, Daniel Mesenhöler, and Florian Stritzel. Post to X or WhatsApp — DNA + season totals from RT.

Ahmed Al-Kassar RT player card

Source · Ahmed Al-Kassar

Alessandro Calligaris RT player card

Alt · Alessandro Calligaris

Daniel Mesenhöler RT player card

Alt · Daniel Mesenhöler

Florian Stritzel RT player card

Alt · Florian Stritzel

Want a deeper take? Scroll to Ask RT below — same shortlist, multi-turn chat.

Ask about replacements for Al-Kassar

Same DNA shortlist as above — budget fit, who to avoid, or why the top match works.

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Frequently Asked Questions

Who are the best alternatives to Ahmed Al-Kassar?
The top alternatives to Ahmed Al-Kassar based on AI DNA playing style analysis include: Alessandro Calligaris, Daniel Mesenhöler, Florian Stritzel, Doğan Alemdar, Manu González. These players were matched using Rising Transfers' 768-dimension DNA model across playing style, pressing intensity, and tactical fit — not just position or market value.
Which players are similar to Ahmed Al-Kassar in 2026?
Players with a similar profile to Ahmed Al-Kassar in 2026 include Alessandro Calligaris (N/A), Daniel Mesenhöler (N/A), Florian Stritzel (N/A). For a deeper DNA-level comparison including playing style, physical attributes, and tactical fit, ask Rising Transfers' AI directly.
What position does Ahmed Al-Kassar play and who plays similarly?
Ahmed Al-Kassar plays as a Goalkeeper. Players with a comparable positional profile include Alessandro Calligaris (Italy, N/A); Daniel Mesenhöler (Germany, N/A); Florian Stritzel (Germany, N/A); Doğan Alemdar (Turkey, €3.5M).
How does Rising Transfers find similar players?
Rising Transfers uses a proprietary 768-dimension Player DNA model trained on 3.2 million match events. Each player is represented as a vector across 35+ per-90 metrics including pressing intensity, passing footprint, dribbling profile, and defensive contribution. Similarity is measured using cosine distance — the same technique used in state-of-the-art AI systems — making it the most precise player comparison tool available publicly.