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Home/Blog/Evolving Skies grading: distinguish the chase variants
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Evolving Skies grading: distinguish the chase variants

By Tyler·Published August 3, 2026Updated September 5, 2026·2 min read

Evolving Skies grading: distinguish the chase variants

Evolving Skies has multiple cards sharing the same character name. Rayquaza V #193, Rayquaza V #194 and Rayquaza VMAX #111 must remain separate records. An attractive slab price on one is not a comparable for another.

What to verify for this topic

For costly chase cards, inspect the raw copy before accepting a market-average input. Record its likely downside grade and the cash tied up during submission and resale. The selected examples do not prove a safest card or a certain return from buying a large batch.

Dated reference examples

Captured September 5, 2026. These are database reference prices, not independently verified recent sold comparables or buy recommendations. Each linked record identifies its set and source.

Umbreon VMAX #215 — Pokemon Evolving Skies

Rayquaza VMAX #218 — Pokemon Evolving Skies

Rayquaza V #194 — Pokemon Evolving Skies

Dragonite V #192 — Pokemon Evolving Skies

CardRawPSA 10Gem rateExpected net profitPSA 10 net profitPSA 10 ROI
Umbreon VMAX #215$2103.00$4275.0071.0%$1027.61$1591.2574.8%
Rayquaza VMAX #218$1023.55$2650.0070.0%$858.15$1256.95119.9%
Rayquaza V #194$428.36$1362.5052.0%$359.28$732.01161.5%
Dragonite V #192$441.34$1091.3552.0%$215.58$483.13103.6%

Read the model correctly

The comparison uses a $25 PSA Value Bulk model fee and a 13% selling fee. Verify current service eligibility, declared-value limits and possible upcharges before submitting. The table excludes shipping, tax, insurance, supplies and time costs.

Expected net profit weights resale outcomes across the recorded grade distribution, applies the selling fee, and deducts raw and grading costs once. PSA 10 net profit assumes the card receives PSA 10. PSA 10 ROI divides that conditional profit by raw plus grading cost. It is not expected ROI.

Historical population shares are assumptions for this calculation, not personal grading probabilities. Missing grade-price references may use the engine's raw-price fallback; unmodeled outcomes and sparse records can materially change the result. Inspect the current card detail and replace reference inputs with your actual costs and verified sold evidence.

Incomplete outcome pricing in this snapshot: Umbreon VMAX #215; Rayquaza VMAX #218; Rayquaza V #194; Dragonite V #192. Treat their expected results as provisional.

Build a repeatable decision

Open a card record, check the exact variant and source, adjust the purchase assumptions, and save the analysis to your account. Revisit it before buying or submitting. The methodology explains the model; Pro describes the available research features. A saved analysis records a decision assumption, not a realized return.

Correction — September 5, 2026: Removed conflicting ranking claims, incorrect variant descriptions and promises that batch results converge to certain profit. The URL is preserved so earlier links lead to the correction. The current table replaces the historical figures with a dated, explicitly labeled model snapshot.

Make the grading decision

Work through the sale alternative, grade risk and cost of tying up your money.

Grade or sell raw?

Compare a submission with the cash you could receive by selling the card today.

How to use a gem rate

Read the sample size and grade distribution before modeling a grading return.

Choosing a submission service? Read the PSA prices and turnaround guide before committing your inventory.

© 2026 Should You Grade? Data from PriceCharting & GemRate.
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