Where does the data come from?
Most "top cards" lists online are editorial picks — this one is different. It comes from CardWish's real claim records: through 2026-10-12, it covers 258,954 completed claims from 7,028 unique players. Every entry is a card a player actually picked and actually received — demand measured by action, not opinion. The ranking is refreshed automatically on a regular schedule, so it reflects the latest demand; it does not represent current stock.
What about language popularity?
These statistics record only the card and the number of players — not the language of each delivered card — so they cannot produce an accurate language ranking. Current stock languages show availability, not demand. CardWish will publish language popularity only after the backend provides verifiable, de-identified statistics.
Top 10
| # | Card | Rarity | Claims | Players |
|---|---|---|---|---|
| 1 | Team Rocket’sWeezing ex | ◇4 | 5,775 | 2,968 |
| 2 | Hoopa ex | ◇4 | 4,667 | 2,534 |
| 3 | Team Rocket’sMoltres ex | ◇4 | 3,956 | 2,540 |
| 4 | Team Rocket’sRaticate ex | ◇4 | 3,907 | 2,554 |
| 5 | Team Rocket’sSlowking ex | ◇4 | 3,713 | 2,523 |
| 6 | Team Rocket’sArticuno ex | ◇4 | 3,384 | 2,395 |
| 7 | Team Rocket’sZapdos ex | ◇4 | 3,212 | 2,279 |
| 8 | Vespiquen ex | ◇4 | 3,157 | 2,156 |
| 9 | Mega Sharpedo ex | ◇4 | 3,100 | 2,124 |
| 10 | Mega Rayquaza ex | ◇4 | 3,004 | 1,800 |
Claims is the total number of copies of a card delivered; Players is the number of unique players who claimed it. Reading them separately reveals two different demand patterns — "one per player" versus "multiple copies" — that either number alone would miss. Click a card name to open its Card Dex page and claim it directly.
Why is the ranking almost all ex cards?
Across successive snapshots, the top ten has been dominated by ◆4 ex cards, and the reason is very practical: ex cards are the main attackers and win conditions of most decks, and a deck usually wants two copies to run consistently — so demand starts out doubled. Meanwhile, ◆4 cards are far from guaranteed in packs. Stack “hard to pull” on top of “required in battle,” and players naturally spend their one daily claim on them. The reverse also holds: ◆1–◆2 basics arrive in bulk from ordinary pack openings, so almost nobody spends an allowance on them. The ranking mirrors that cost logic clearly.
Another useful signal is the claims-to-players ratio. A ratio near 1 marks one-copy collector demand; a ratio well above 1 (say 1.8–2.0) means many players came back for a second copy — almost certainly a deck core that runs two. If you cannot decide what to claim, starting with high-ratio cards is rarely wrong.
Planning your claim order with the ranking
If you are new, use the list like this: scan the top ten for the current format’s mainstream ex cards, pick one or two that match your deck plan, and spend each day’s free allowance on those hardest-to-pull ◆4s first — let ordinary pack openings take care of the basics. Combine this with the acquisition map in Card Rarity Explained and you can push all three routes — packs, delivery, and points redemption — to maximum efficiency.
What this ranking cannot tell you
A few honest caveats to avoid misreading the data: first, the ranking reflects what CardWish players choose to claim, not official win rates or a meta-strength tier list. Second, it says nothing about current stock — popular cards occasionally sell out briefly, and the claim page is the source of truth for available languages. Third, a new expansion always brings a novelty rush: rankings swing hard in the first few days, and waiting a week or two gives a much truer picture of real demand.
Want to claim a card from the ranking?
Select any card name in the table to open its Card Dex page, then continue directly to the claim flow. Each Player ID can use one free claim per day, resetting at 14:00 (UTC+8). See the complete claim guide for the full process and the Card Dex guide for current language availability. This ranking keeps updating automatically as players claim cards — check back to see how demand shifts.