background Ludii Portal
Home of the Ludii General Game System

   

Home Games Forum Downloads References Concepts Contribute Tutorials Tournaments World Map Ludemes About


 
Shatranj al-Kabir (Constantinople) (Shatranj al-Kabir)
Ruleset: Historical Information

Game

See the game Shatranj al-Kabir (Constantinople) for more details.

Period(s)

Modern

Summary

Rules from DLP evidence.

Description

Rules known for the Shatranj al-Kabir from Constantinople as known from the DLP evidence.

Rules

13x13 board. The same pieces as Shatranj plus: five pawns per player, one Great Ferz, which moves as a Zurafa in Shatranj al-Kabir, two Karkaddan, which moves diagonally any distance or like a Knight, and two Ahu, which move like the Jamal in Shatranj al-Kabir. Pawns begin on the fourth rank of the board. Pieces are arranged as follows, beginning from the left corner: Rook, Knight, Fil, Karkaddan, Ahu, Great Ferz, Shah, Ferz, Ahu, Karkaddan, Fil, Knight, Rook.

Concepts

Browse all concepts for Historical Information here.

Reference

DLP evidence.

Other Rulesets

Reconstructed rulesets
Shatranj al-Kabir (Constantinople) (Ludii 1) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 2) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 3) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 4) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 5) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 6) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 7) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 8) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 9) Reconstructed with Ludii
Shatranj al-Kabir (Constantinople) (Ludii 10) Reconstructed with Ludii

Origin

Turkey

Identifiers

DLP.GameRulesets.1432

     Contact Us
     ludii.games@gmail.com
     cameron.browne@maastrichtuniversity.nl

lkjh Maastricht University Department of Advanced Computing Sciences (DACS), Paul-Henri Spaaklaan 1, 6229 EN Maastricht, Netherlands Funded by a €2m ERC Consolidator Grant (#771292) from the European Research Council