Real Data · 2,100+ Cards · Free

Card ROI Heatmap

See which card categories deliver the best return from grading. This heatmap compares raw-to-gem-mint price multipliers across sports, eras, and value tiers using real data from our entire card database.

Cards Analyzed
10,118
Avg ROI Multiplier
11.7x
Best Sport
Baseball
12.9x avg
Best Era
Pre-1970
25.6x avg
ROI Scale:<2x 2-4x 4-6x 6-8x 8-12x 12x+
SportPre-19701970-19891990-19992000-20092010-20192020+
Baseball
Basketball
Football
Hockey

Top 10 Best ROI Cards

Highest gem/raw multiplier in the database

1
1979-80 O-Pee-Chee Wayne Gretzky #18
$11,500 → $3,750,000
326.1x
2
1952 Topps Mickey Mantle #311
$47,500 → $12,600,000
265.3x
3
2009 Bowman Chrome Mike Trout #BDPP89
$1,750 → $400,000
228.6x
4
2000 Playoff Contenders Tom Brady #144
$17,500 → $3,107,852
177.6x
5
2009 Bowman Chrome Mike Trout Auto Refractor #BDPP89
$30,000 → $3,900,000
130.0x
6
1951 Bowman Mickey Mantle #253
$17,500 → $2,000,000
114.3x
7
1999 Pokémon Base Set Charizard #4 Shadowless
$4,500 → $400,000
88.9x
8
1933 Goudey Lefty Gomez RC #67
$600 → $50,000
83.3x
9
1986-87 Fleer Michael Jordan #57
$9,000 → $738,000
82.0x
10
1993 SP Derek Jeter #279
$1,250 → $100,000
80.0x

Top 10 Worst ROI Cards

Grading adds the least value to these cards

1
2020 Panini Contenders Alex Highsmith RC Auto #178
$8.5 → $21
2.5x
2
2023 Panini Contenders De'Von Achane RC Auto #152
$27.5 → $70
2.5x
3
2022 Upper Deck Nick Foligno #17
$0.75 → $2
2.7x
4
2022 Upper Deck Michael Bunting #172
$2 → $5.5
2.8x
5
2024 Upper Deck Pavel Dorofeyev #138
$2 → $5.5
2.8x
6
2010 Upper Deck Logan Couture #218
$2 → $5.5
2.8x
7
2023 Panini Contenders Tyree Wilson RC Auto #114
$10 → $27.5
2.8x
8
2024 Upper Deck Bobby Brink #346
$1.25 → $3.5
2.8x
9
2016 Panini Prizm Dak Prescott #341
$175 → $500
2.9x
10
2023 Topps Series 2 Lance Lynn #450
$1.5 → $4.5
3.0x

Methodology:ROI multipliers are calculated from estimated raw and gem mint values in our database. The raw value is the midpoint of the estimated range (e.g., “$3-$8” = $5.50) and the gem value is the midpoint of the gem mint range. Actual returns depend on the specific grade received, grading company, and current market conditions.

Frequently Asked Questions

What does the ROI heatmap show?

The ROI heatmap shows the average grading multiplier for different card categories. Each cell represents a combination of sport and era (or value tier), showing how many times the gem mint value exceeds the raw value on average. Green cells indicate high ROI categories (8x+ multiplier), yellow cells indicate moderate ROI (4-8x), and red cells indicate low ROI (under 4x).

How is the grading ROI multiplier calculated?

For each card, we take the midpoint of the estimated gem mint value range (e.g., "$40-$80" becomes $60) and divide it by the midpoint of the estimated raw value range (e.g., "$3-$8" becomes $5.50). This gives a multiplier of roughly 10.9x, meaning grading that card and getting a gem mint grade would multiply its value by about 11 times.

Which sport has the best grading ROI overall?

ROI varies significantly by era and value tier, but vintage cards (pre-1970) across all sports tend to have the highest multipliers because the condition gap between raw and gem mint is largest for older cards. Within modern cards, basketball and football rookies often show strong grading premiums due to collector demand for slabbed copies.

Should I grade every card with a high ROI multiplier?

No. A high multiplier does not guarantee profit. You also need to factor in grading costs ($15-$300 per card), shipping, insurance, and the probability of actually receiving a gem mint grade. A $5 raw card with a 10x multiplier gives a $50 gem value, but after $35+ in grading costs, the actual profit is modest. Use this heatmap alongside the Grading ROI Calculator for individual card decisions.

Why do some cells show very high multipliers?

Extremely high multipliers (20x+) are common for vintage and ultra-high-value cards where the condition premium is enormous. A 1952 Topps card might be worth $15,000 raw but $200,000+ in gem mint, giving a 13x+ multiplier. These outliers can skew category averages. Click any cell to see the individual cards driving that average.