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Developer of 1 game on Steam · Compare with others
Players Now
0Across 1 game, at each one's latest count
Positive Reviews
23%Of 13 reviews
Games Released
12026
Best Month
0October 2026, average players across the games
Totals over every listed game developed by Liang ZhiYa. How we count
| Month | Positive | Negative | Average players |
|---|---|---|---|
| October 2026 | 0 | 0 | 0 |
| September 2026 | 0 | 0 | — |
| August 2026 | 0 | 0 | — |
| July 2026 | 0 | 0 | — |
| June 2026 | 4 | 9 | — |
| Year | Games | Reviews to date | Positive | Most reviewed |
|---|---|---|---|---|
| 2026 (so far) | 1 | 13 | 23% | 芝士财商 CheeseMoney |
| # | Game | Peak players | When |
|---|---|---|---|
| 1 | 0 | 25 Oct 2026 |
Each game’s highest player count on record: our own polls, or a month’s peak from the archive. How we count
Games counted under their top five Steam tags. A tag opens its trends.
1–1 of 1 game, sorted by most played now. Players at each game’s latest poll, as of ; older readings show their time.
| # | Game | Players now |
|---|---|---|
| 1 | 0 |
Names come from each game’s Steam store page. Spellings that differ only in capitals, accents or punctuation share a page. About the data
Games are matched by the developer and publisher names on their Steam store pages; names that differ only in capitals, accents or punctuation count as one company. Players now is the sum of each game's latest poll. The share positive weights each game by its number of reviews, so the biggest games count most; the middle game's score counts every game with at least 10 reviews equally. Monthly players are the sum of each game's average for the month, from the archive before October 2026 and our own polls since. A year's reviews are every review the games released that year have had, up to today.
Figures across every listed Steam game a company developed or published: the people playing them now, the share of their Steam reviews that recommend them, the games released each year, and their reviews and players month by month.
Source: Steam Web API, IStoreBrowseService/GetItems. Full methodology
