What's your collection worth?Free, no signup. Total FMV + your top moments.

NBA Top Shot · Pack #5046

Jaylen Wells Throwdowns (Series 2024-25) Challenge Reward

Rare1 slotReward pack

← All packs

Reward pack — distributed for free, no price-based verdict.

Observed pack lifecycle

Packs opened

attributed rips · sample

Moments pulled

from opened packs

Realized pull value

—

total, priced pulls

Avg / pack

—

per pack we could price

What drives the remaining EV

Each row is an edition still in the pool. EV share = pull odds × FMV as a fraction of the pack per-slot expected value — what the remaining contents are actually worth.

⚠ 100% of the remaining EV leans on thinly-traded chase prices — treat it as soft.

Edition	Tier	Pull %	FMV	EV share
Jaylen Wells · Throwdowns	RARE	100.00%	$10.75	100.0%

EV share = pull odds × FMV ÷ per-slot EV, over the editions remaining in the pool.

Sealed pack resale

Last $72.00 · 1y agoRetail $49.005 sales

Pack price

PrimarySOLD OUT

Secondary$49.00

Actual EV

—

Reward pack — free, no secondary-ask verdict

Typical Pull

$10.75

Median pull ≈ Actual EV — value evenly spread

Value ratio

—

Free pack — n/a

FMV coverage

100%

1 editions

Packs Content Remaining

live pool · as of 19h ago

Rare1 / 205 (0.5%)

Pull odds by tier

1 slots/pack · as of 19h ago

Tier	Remaining	% of pool	Odds / pack
Rare	1 / 205	100%	~every pack

Odds/pack ≈ chance of at least one card of that tier across 1 slots, from the live remaining pool. Approximate (assumes independent slots).

Top chases

highest-FMV pulls in this pack

What's Inside

FMV priced 1 of 1 (100%)

Sales History

secondary pack sales

Traced via opened packs — partial coverage that grows over time. Buyer links open the wallet's full intelligence.

No traced sales yet for this pack.

Top pulls by EV

top 1 of 1

Player	Set	Tier	Drop %	FMV	Edition EV
Jaylen Wells	Throwdowns	RARE	100.00%	$10.75	$10.75

Edition EV = FMV × (drop_weight / pool_weight) × slots. Sums to Gross EV over the full pool. Snapshotted 8/5/2026, 8:37:34 AM. Methodology: cached pack_ev_history via the compute-pack-ev edge function.