Lexica (2014)
Lexica is a 2014 Casual game by d3t, rated ★ 2.1 by 21 players, about 1 hours long. Below: 12 games like it, ranked by how much they share with it.
Games like Lexica
See all matches-
60%
TerrorhedronShares Steam Achievements and Singleplayer; same release year. -
60%
Dwarfs - F2PShares 2D and Singleplayer; released within 2 years. -
60%
Dwarfs!?Shares 2D, Steam Achievements and Singleplayer; rated 0.3 higher. -
58%
Simply ChessShares Steam Achievements and Singleplayer; rated 0.7 higher; released within 1 year. -
58%
ParticulaShares Singleplayer; rated 0.3 lower; released within 1 year. -
58%
One Troll ArmyShares Steam Achievements and Singleplayer; rated 0.9 higher; released within 2 years.
Overview
Released in 2014, Lexica lands in the Casual space and runs on 2 platform families: macOS and PC. Players have rated it 21 times, landing at 2.1 out of 5. It outranks 6% of the catalog on rating alone. Within Casual it ranks #482 of 625 games by our quality score. Average playtime is 1 hours — a short run you can finish in a weekend, about 69% shorter than the Casual average.
What players actually do with it
Finish rate = players who marked it beaten ÷ (beaten + dropped) on RAWG. Wishlist and playing-now counts refresh with every sync.
Platforms & availability
| Platform | Family | Release |
|---|---|---|
| macOS | PC | Nov 2024 |
| PC | PC | Nov 2024 |
Can my PC run Lexica?
Minimum
OS *: Windows 7
Processor: x86_32 CPU with SSE2 instructions, any x86_64 CPU, ARMv8 CPU
Memory: 400 MB RAM
Graphics: Integrated graphics with full Vulkan 1.0 support
Storage: 150 MB available space
Questions
When was Lexica released?
Lexica was released on July 4, 2014.
What platforms is Lexica on?
Lexica is available on macOS and PC.
How long is Lexica?
Average playtime for Lexica is about 1 hours.
How many people play Lexica?
510 players on RAWG own Lexica and 1 have it on their wishlist.
What games are similar to Lexica?
Closest matches in our catalog: Terrorhedron, Dwarfs - F2P, Dwarfs!? and Simply Chess.
More Casual games
All Casual
Core data via RAWG. Rankings and similarity are our own computation.