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PocketMeta

Best Pack for Fire Cards

If you're building a fire collection, choose packs that include more fire Pokémon and higher craft value.

Snapshot: 2026-02-03
👑 Best Choice
Deluxe
Total Cards: 379 · Score: 27540
Data snapshot: 2026-02-03
Top 10 Power
14200 pts
High Value Density
25% ≥1000 pts (top 80)
Best Pull
Rare Candy
View card · 2500 pts

"Contains 30 fire cards. Total craft points (matching only) = 7870. Example: Charizard ex, Ho-Oh ex, Arcanine ex, Charizard ex, Charizard ex."

Quick links (Top 3 packs)

Fast navigation

Leaderboard (Top 5)

#1
Deluxe
Top pulls: Rare Candy, Pikachu ex, Darkrai ex
Score
27540
Cards
379
#2
Charizard
Top pulls: Charizard ex, Mewtwo ex, Pikachu ex
Score
24553
Cards
126
#3
Mega Blaziken
Top pulls: Flame Patch, Klefki, Lilligant
Score
22216
Cards
139
#4
Ho-Oh
Top pulls: Ho-Oh ex, Lugia ex, Ho-Oh ex
Score
18825
Cards
136
#5
Secluded
Top pulls: Mantyke, Suicune ex, Garchomp ex
Score
15725
Cards
105

Top 10 Comparison

Compare packs by score, pool size, high-value density, and best possible pull (snapshot-based).

# Pack Score Cards Top-10 Power ≥1000 Density Best Pull
1 Deluxe 27540 379 14200 pts 25% (top 80) Rare Candy · 2500
2 Charizard 24553 126 16500 pts 18% (top 80) Charizard ex · 2500
3 Mega Blaziken 22216 139 16900 pts 36% (top 80) Flame Patch · 2500
4 Ho-Oh 18825 136 15650 pts 36% (top 80) Ho-Oh ex · 2500
5 Secluded 15725 105 14400 pts 35% (top 80) Mantyke · 2500
6 Eevee 15581 107 14400 pts 36% (top 80) Eevee Bag · 2500
7 Shining 15371 111 14400 pts 41% (top 80) Poké Ball · 2500
8 Solgaleo 13815 140 15650 pts 39% (top 80) Lunala ex · 2500
9 Crimson Blaze 13341 103 15650 pts 35% (top 80) Aegislash · 2500
10 Lugia 13110 136 15650 pts 36% (top 80) Ho-Oh ex · 2500

Note: density is computed from the top 80 highest craft-point cards in each pack (for comparability).

Related goals

View all

Internal links help crawlers discover deeper pages and improve topical clustering.

FAQ (Goal-specific)

Decision support (snapshot-based)
What is the best pack for "Best Pack for Fire Cards" right now? +
Based on the snapshot (2026-02-03), the top pick is "Deluxe" (score 27540). Runner-ups: Charizard, Mega Blaziken, Ho-Oh.
Is element data complete enough for "Fire" ranking? +
Element coverage for "Deluxe" is 87%. Matched fire cards: 30, total craft points (matched only): 7870.
What does the score measure? +
It’s a deterministic score using the rule on this page (Methodology). It relies on in-game craft points and the pack pool, not real-time prices. This makes it stable and reproducible.
What are the best pulls in the #1 pack? +
Top high-value pulls (by craft points) include: Rare Candy, Pikachu ex, Darkrai ex. Best pull: Rare Candy.
Why do you use a snapshot instead of real-time data? +
Snapshot data is easier to keep accurate without running an API. Rankings update when the dataset updates; the date is always shown so you can judge freshness.
How should I use the "Fire" pack goal? +
If you’re building a fire collection, prioritize packs with higher fire card count and higher matched craft points. Then check the pack page to see the full pool.
How close are the top packs—can I pick any of them? +
The score gap between #1 and #2 is 2987. If it’s small, you can choose based on personal targets (specific cards) after checking each pack’s pool page.
Where can I see the full list of cards in the best pack? +
Open the pack page: /pack/deluxe/. You can also click any card to view its details page.

Tip: If the result feels off, check the snapshot date and compare two packs using the table above.

Data Notes

Snapshot: 2026-02-03

This pack contains 20 high-cost cards (≥1000 pts), including 2 premium pulls (≥1500 pts).

High-value cards
20 cards ≥1000 pts · 2 cards ≥1500 pts
Examples (≥1000):
Examples (≥1500):
Points coverage
100%
379 / 379 cards have points
Element coverage
87%
329 / 379 cards have element
Element goals depend on element labels; lower coverage can reduce ranking reliability.

This site uses a snapshot dataset (non-real-time). Coverage varies by upstream version and improves after data patches.

Methodology

We score packs by (1) how many cards match the target element and (2) the craft points sum of those matching cards, with a small overall value weight. Packs with low element coverage are down-ranked.

* Rankings are snapshot-based (non-real-time) and intended for decision support. Scores are comparative across packs for the same goal.