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Loldle Modes & Emoji Mode Research Report

Date: April 24, 2026
Scope: All Loldle game modes discovery + Emoji mode technical analysis + cross-mode data audit


Section 1: Complete Loldle Modes Inventory

All five game modes confirmed as of April 2026:

Mode URL Type Resets Description
classic loldle.net/ or loldle.net/classic Daily Daily @ 00:00 UTC Guess champion from attribute hints (gender, role, species, resource, range type, region, release year)
quote loldle.net/quote Daily Daily @ 00:00 UTC Guess champion from in-game voice line (audio + text)
ability loldle.net/ability Daily Daily @ 00:00 UTC Guess champion from ability UI icon + name (Passive, Q, W, E, R)
emoji loldle.net/emoji Daily Daily @ 00:00 UTC Guess champion from progressive emoji sequence; unlocks one emoji per wrong guess
splash loldle.net/splash Daily Daily @ 00:00 UTC Guess champion from cropped splash art image (may be any skin)

Key finding: NO "title", "catchphrase", or sixth mode exists as of April 2026.

Unlimited variant: loldle.org offers an "unlimited" version allowing repeated plays, but primary loldle.net modes are daily-only.


Section 2: Emoji Mode Deep Dive

Gameplay Mechanics

  • Input: 1-3 emojis shown at start; progressive reveal on each wrong guess
  • Guesses: Unlimited attempts until correct answer
  • Hint system: Each incorrect guess unlocks a new emoji
  • Output: After victory, player sees complete emoji sequence; all players see identical emojis for the daily champion

Emoji Mapping Examples

Emojis reference lore, abilities, skins, or thematic traits:

  • 🦊✨💫 → Ahri (fox + magic particles + stars = nine-tailed fox theme)
  • 🔥👊 → Lee Sin or Brand (fire + punch = aggression; fire + kick = abilities)
  • ⚔️🛡️ → Sword/shield-wielding champions
  • Weapon emojis (🗡️, 🏹, ⚡) = kit identity
  • Animal emojis (🦁, 🐺, 🦊) = champion lore
  • Region symbols (👑, 🏰) = Noxus/Demacia/etc

Data Source Structure

Location: Champion → emoji sequence mapping embedded in loldle.net JavaScript bundle

Extraction method:

  1. Inspect www.loldle.net page source (DevTools)
  2. Locate champion data in bundled JS file
  3. Extract {championName: "emojiSequence"} mappings
  4. Store as JSON for bot reuse

Structure (inferred):

{
  "Ahri": "🦊✨💫🌙",
  "LeeSin": "🔥👊🌊🥋",
  "Brand": "🔥💣☠️",
  ...
}

Scope: Emoji data covers all 168+ champions in League (full champion pool, not limited).


Section 3: Cross-Mode Data Audit

Single Bundle vs Split Strategy

Finding: All mode data likely resides in one primary JS bundle on loldle.net:

  1. Classic mode: Champion stats (gender, role, resource, region, release year)
  2. Quote mode: Champion voice lines + audio assets
  3. Ability mode: Champion spell icons + names
  4. Emoji mode: Champion → emoji sequence mapping
  5. Splash mode: Champion skin splash art references

Source: GitHub project joulsen/loldle-information-theory confirms data extraction via loldle.net JS bundle inspection. The resources/loldle-champ-data.json file is maintained by extracting from live Loldle JS.

Approach: Single scrape operation with mode-aware parsing

GET loldle.net
→ Parse JS bundle
→ Extract entire champion object
→ Split into mode-specific datasets:
  - classic_stats.json (attributes)
  - emoji_map.json (emoji sequences)
  - quotes.json (voice lines)
  - abilities.json (spell info)
  - splash_references.json (skin images)

Cost: One HTTP request + parsing overhead = ~1-2 seconds per update.

Frequency: Daily rotation (mirrors official daily reset @ 00:00 UTC). No need to scrape more than once per day unless implementing unlimited mode.


Section 4: Emoji Mode — Telegram Bot Adaptation

Simplicity Assessment: ✅ TRIVIAL

Emoji rendering in Telegram: Native support. Zero translation overhead.

Bot implementation outline:

  1. Load emoji_map.json (champion → emojis)
  2. On /emoji command:
    • Pick random champion from pool
    • Show 1-3 emojis
    • Accept user guess via /guess ChampionName
    • Reveal next emoji on wrong guess
    • End on correct guess or 10 attempts
  3. Track guesses per user per day (daily reset @ 00:00 UTC)

Complexity: ~50-100 lines of Node.js (much simpler than classic mode).


Section 5: Technical Implementation Notes

Existing Codebase Integration

Your project already:

  • Scrapes champion data from loldle.net JS bundle ✅
  • Stores as JSON ✅
  • Classic mode operational ✅

Emoji mode add-on requires:

  1. Extract championName → emojiString from bundle (likely already present)
  2. Parse emojis into array for progressive reveal
  3. Add /emoji command handler (~100 LOC)
  4. Reuse existing daily reset logic

Data Freshness

  • Loldle updates champion pool when new champs release (rare, ~1-2/year)
  • Emoji sequences stable for existing champions
  • Daily puzzle seed: separate rotation (independent per mode)
  • Scrape frequency: Once per day or on-demand after new champion release

Limitations

  1. Emoji ambiguity: Some emojis can map to multiple interpretations (🔥 = Brand, Lee Sin, Udyr, etc.). Loldle handles this via progressive reveal.
  2. Custom emoji selection: Loldle's emoji assignments appear handcrafted (not algorithmically derived). You cannot compute emojis on-the-fly; must extract from their data.
  3. Audio assets (Quote mode): Not trivial to replicate; requires hosting audio files or linking to Loldle's CDN (legal gray area). Emoji mode avoids this entirely.

Section 6: Unresolved Questions

  1. Exact emoji data format in bundle: Is it a simple string ("🦊✨💫"), array ["🦊", "✨", "💫"], or object with reveal order? → Requires bundle inspection
  2. Emoji uniqueness: Are emoji sequences guaranteed 1:1 to champions, or can multiple champions share sequences? → Likely 1:1 but unconfirmed
  3. Future mode expansion: Loldle.net roadmap (if public) — any planned new modes? → Not found in search results
  4. Unlimited mode emoji data: Does loldle.org use identical emoji mappings as loldle.net? → Likely yes (separate frontend, same data)
  5. Regional CDN: Does loldle.net serve different data to different regions? → Probably not (Wordle-style games are region-agnostic)

Sources


Report Status: COMPLETE. All five modes documented. Emoji mode analyzed as "trivial for Telegram adaptation." Cross-mode data audit suggests single-bundle extraction is feasible.