PopKornmm/wordscapes-wildlife-animals-stats
Wordscapes Wildlife Animals — Complete Stats Complete statistics for all 66 collectible Wildlife animals in Wordscapes (PeopleFun), including the June 2026 update that extended the Blue and Green egg groups to Level 10. Files wordscapes_wildlife_animals.csv — one row per animal: rarity tier, egg groups, activity duration, activities before sleep, sleep hours, max level, bonus type, coin cost per activity, star animal flag. wordscapes_wildlife_levels.csv — one row… See the full description on the dataset page: https://huggingface.co/datasets/PopKornmm/wordscapes-wildlife-animals-stats.
Wordscapes Wildlife Animals — Complete Stats
Complete statistics for all 66 collectible Wildlife animals in Wordscapes (PeopleFun), including the June 2026 update that extended the Blue and Green egg groups to Level 10.
Files
wordscapes_wildlife_animals.csv — one row per animal: rarity tier, egg groups, activity duration, activities before sleep, sleep hours, max level, bonus type, coin cost per activity, star animal flag.
wordscapes_wildlife_levels.csv — one row per animal per level (543 rows): hearts per cycle, bonus per cycle, duplicates required to reach the level, coat skin.
The two tables join on the animal column.
Column reference
animals
levels
Source and methodology
Statistics were compiled from in-game observations and community verification; player-submitted corrections are reviewed before publication. The dataset is maintained and kept up to date at the Wordscapes Animal Spreadsheet, where it can be browsed interactively with side-by-side animal comparison and tournament star values.
Also available on Kaggle with a starter analysis notebook.
Possible uses
- Rarity balance analysis across Common, Uncommon, Rare and Epic tiers
- Hearts-per-coin efficiency modeling
- Egg group composition and drop analysis
- Mobile game economy and LiveOps studies
Quick start
import pandas as pd
animals = pd.read_csv("hf://datasets/PopKornmm/wordscapes-wildlife-animals-stats/wordscapes_wildlife_animals.csv")
levels = pd.read_csv("hf://datasets/PopKornmm/wordscapes-wildlife-animals-stats/wordscapes_wildlife_levels.csv")
# Most heart-efficient animals per 30 minutes at max level
max_lv = levels.loc[levels.groupby("animal")["level"].idxmax()]
df = max_lv.merge(animals[["animal", "activity_minutes"]], on="animal")
df["hearts_per_30min"] = df["hearts_per_cycle"] / df["activity_minutes"] * 30
print(df.nlargest(10, "hearts_per_30min")[["animal", "hearts_per_30min"]])Disclaimer
This is an unofficial, fan-made dataset containing factual gameplay statistics compiled and verified by the community. Wordscapes is a trademark of PeopleFun, Inc. This dataset is not affiliated with, endorsed by, or connected to PeopleFun. No game assets, code, or copyrighted content are included; the CC BY 4.0 license applies to this compilation only.
The July 2026 update (build 3.12.80) extended the Yellow egg group to Level 10.
