📊 Card Statistics
Query win rates, play rates, and trends across formats and time periods.
🎴 Archetype Explorer
Discover detected deck archetypes and the cards that define them.
⚙️ Admin Panel
Manage data ingestion, patches, and system settings.
Understanding the Statistics
- Games
- Number of games where this card appeared in at least one player's deck.
- Inclusion WR
- Win rate when the card is in your deck, whether played or not. This is often a statement about that deck rather than that card.
- Players
- Unique players who included this card (helps identify "pet decks" vs meta trends).
- Played
- Number of times this card was actually played (not just sitting in deck).
- Play WR
- Win rate specifically when this card was played.
- Priority
- Games × (WinRate - 0.5). Combines popularity with impact. High priority cards are both common and influential. Low priority cards lose a lot proportional to their inclusion.
Known Data Issues
Before January 2026, cards which played into the ATTACHED zone (such as weapons or conditions like Last Alliance) were incorrectly tracked and so never registered as "played". These cards will thus show as 0 played across the board. If you see a very low play stat and it is an attachment, disregard the Play WR for that card. Events are still affected by this bug and never show as played; this will be fixed in the future.
Other Considerations
- Bot games are excluded — Games against AI opponents don't contribute to statistics.
- Sample size matters — Cards with fewer than 50-100 games may have unreliable statistics.
- Meta context — A card's win rate depends on what it's being played against. A "bad" card might just be poorly positioned in the current meta.
- Correlation ≠ Causation — High win rate doesn't mean the card is causing wins. Strong players might favor certain cards. See Pippin, Hobbit of Some Intelligence carrying a 60% win rate.
Tips for Analysis
- Use the Players column to distinguish meta staples from one player's pet tech. A card with 1000 games but only 3 players is one person's grind.
- Filter by competitive tier to see how cards perform at different skill levels. Tournament data may differ significantly from casual play.
- Compare formats to understand how the card pool affects individual card performance.
- Use date filters to track how cards perform after balance patches.
- Share your queries — Use the Share button to copy a link with your current filters for discussion.
About This Tool
GEMP Card Analytics processes game replay data to provide win rate statistics for the Lord of the Rings Trading Card Game. Data is aggregated daily and includes games from all tracked formats.
The archetype detection uses graph clustering algorithms to identify cards that frequently appear together, helping map the deck-building landscape without manual curation.
Questions or feedback? Visit the GEMP GitHub or join the community Discord.