Steam most-played games attention velocity (weekly)
Weekly player-attention ranking of the 100 most-played games on Steam. The official keyless Steam charts API (ISteamChartsService/GetMostPlayedGames) supplies this week's top 100 by peak concurrent players with each game's rank, last week's rank (-1 = unranked), and weekly peak player count; the official keyless Store appdetails API enriches every appid with name, type, free/paid, genres, release date, and developers. Each game carries its rank movement (rank_change, null for new entrants), a new_entrant flag, and a documented 0-100 attention_score = 100 * (45% min-max-normalized rank gain + 35% min-max-normalized log10(peak players) + 20% newcomer bonus), ranked as attention_rank (1 = hottest; ties: peak players desc, appid asc). breakout_flag marks new entrants debuting at rank <= 60 or games climbing >= 20 ranks. From the second weekly snapshot on, growth_pct reports week-over-week peak-player change versus the prior snapshot (null on the baseline, which omits the column). Columns: ISO week, as-of date (charts rollup_date), appid (primary key), canonical_appid (the store id appdetails resolved to - Valve redirects superseded entries, e.g. 730 to 2678630/Counter-Strike 2), name, store URL, game type, is_free, comma-joined genres, primary genre, release date/year, age in years, developers, publishers, rank, last week's rank, rank change, new-entrant flag, weekly peak concurrent players, week-over-week growth %, attention score, attention rank, breakout flag, enrichment_ok, row hash. Nullability: name and the enrichment columns are null when the Store API returned nothing for that appid (enrichment_ok = false); rank_change is null for new entrants; release_date/release_year/age_years are null when the release date is unknown or 'coming soon'. Caveats: peak_in_game is the week's peak concurrent-player count, not average or unique players; last_week_rank comes from Valve's own rollup and is taken verbatim; attention_score is a within-snapshot relative measure, not comparable across weeks; genre labels are Valve's own taxonomy. Sample use: order by attention_rank for this week's hottest games, or filter breakout_flag for the week's surgers.
- Rows
- 100
- Columns
- 0
- Source cadence
- Weekly
- Last refreshed
- Sep 25, 2026
- Theme
- technology
Profiled Sep 25, 2026 from snapshot 20260925T114652Z-68b5577730b4
Measured- Completeness
- 97.9%
- Rows
- 100
- Columns
- 25
- Columns with gaps
- 11
| Column | Missing | Distinct | Range | Distribution |
|---|---|---|---|---|
| weekvarchar | 0% | 1 | — |
|
| as_ofvarchar | 0% | 1 | — |
|
| appidbigint | 0% | 83 | 440 → 4,358,690median 1,234,145 | 2 outside 1st–99th percentile |
| canonical_appidbigint | 4% | 96 | 4,000 → 5,309,010median 3,264,960 | 2 outside 1st–99th percentile |
| namevarchar | 4% | 87 | — |
|
| store_urlvarchar | 0% | 108 | — |
|
| game_typevarchar | 4% | 3 | — |
|
| is_freeboolean | 4% | 2 | — |
|
| genresvarchar | 0% | 57 | — |
|
| primary_genrevarchar | 5% | 12 | — |
|
| release_datevarchar | 6% | 92 | — |
|
| release_yearbigint | 6% | 21 | 2,006 → 2,026median 2,022 | 1 outside 1st–99th percentile |
| age_yearsdouble | 6% | 106 | 0 → 19.82median 4.59 | 1 outside 1st–99th percentile |
| developersvarchar | 5% | 74 | — |
|
| publishersvarchar | 5% | 60 | — |
|
| rankbigint | 0% | 96 | 1 → 100median 50.5 | 2 outside 1st–99th percentile |
| last_week_rankbigint | 0% | 98 | -1 → 106median 47.5 | 1 outside 1st–99th percentile |
| rank_changedouble | 3% | 28 | -23 → 38median 0 | 2 outside 1st–99th percentile |
| new_entrantboolean | 0% | 2 | — |
|
| peak_in_gamebigint | 0% | 78 | 6,605 → 1,384,929median 37,855 | 2 outside 1st–99th percentile |
| attention_scoredouble | 0% | 96 | 7.06 → 78.63median 19.85 | 2 outside 1st–99th percentile |
| attention_rankbigint | 0% | 96 | 1 → 100median 50.5 | 2 outside 1st–99th percentile |
| breakout_flagboolean | 0% | 2 | — |
|
| enrichment_okboolean | 0% | 2 | — |
|
| row_hashvarchar | 0% | 124 | — |
|
- Current
20260925T114652Z-68b5577730b4 · sha256 68b5577730b4…
100 rows · +0 rows vs previous
20260925T112117Z-5a1860d58c5a · sha256 5a1860d58c5a…
100 rows · +0 rows vs previous
20260925T111326Z-f8ec22e3e652 · sha256 f8ec22e3e652…
100 rows · +0 rows vs previous
20260925T110723Z-6647802675e5 · sha256 6647802675e5…
100 rows · first snapshot
Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).
curl "https://datazimuts.com/v1/datasets/steam_trending_signals/steam_trending_games_weekly" | jq '{title, rows, columns_count, license}'import requests
ds = requests.get("https://datazimuts.com/v1/datasets/steam_trending_signals/steam_trending_games_weekly").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)API endpoint: https://datazimuts.com/v1/datasets/steam_trending_signals/steam_trending_games_weekly
Tip: fetch /llms.txt for the full machine-readable catalog.
Where this data comes from and what was made from it. Other people's work shows as counts; only shared projects are named.
Cite this snapshot
Pinned to snapshot 20260925T114652Z-68b5577730b4 and its content hash, so readers get exactly the data you used.
Steam trending games (agent-curated). (2026). Steam most-played games attention velocity (weekly) [Data set, snapshot 20260925T114652Z-68b5577730b4, sha256 68b5577730b4]. Datazimuts. Retrieved 2026-09-25, from https://datazimuts.com/en/datasets/steam_trending_signals/steam_trending_games_weekly?snapshot=20260925T114652Z-68b5577730b4
@misc{dz_steam_trending_signals_steam_trending_ga_68b55777,
title = {{Steam most-played games attention velocity (weekly)}},
author = {{Steam trending games (agent-curated)}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/en/datasets/steam_trending_signals/steam_trending_games_weekly?snapshot=20260925T114652Z-68b5577730b4}},
note = {Snapshot 20260925T114652Z-68b5577730b4, sha256 68b5577730b44ad647755215f59d32f17a9874329cda727f48c69988f75c5de6; accessed 2026-09-25}
}Embed a table or a chart
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