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NBA Top Shot · Pack #837

For the Win Series 4 Set Reward

Rare5 slotsReward pack

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

Observed pack lifecycle

Packs opened

attributed rips · sample

Moments pulled

200

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.

Edition	Tier	Pull %	FMV	EV share
Karl-Anthony Towns · For the Win	RARE	10.00%	$7.79	29.5%
Klay Thompson · For the Win	RARE	10.00%	$6.67	25.3%
Alex Caruso · For the Win	RARE	10.00%	$5.47	20.7%
Jusuf Nurkić · For the Win	RARE	5.29%	$4.17	8.4%
Keldon Johnson · For the Win	RARE	4.71%	$4.50	8.0%

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

Sealed pack resale

Last $65.00 · 3y ago36 sales

Pack price

$0.00

Actual EV

—

Reward pack — free, no secondary-ask verdict

Value ratio

—

Free pack — n/a

FMV coverage

—

Top chases

highest-FMV pulls in this pack

What's Inside

pullable editions

Giannis Antetokounmpo

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 10 of ?

Player	Set	Tier	Drop %	FMV	Edition EV
Karl-Anthony Towns	For the Win	RARE	10.00%	$7.79	$3.89
Klay Thompson	For the Win	RARE	10.00%	$6.67	$3.33
Alex Caruso	For the Win	RARE	10.00%	$5.47	$2.73
Jusuf Nurkić	For the Win	RARE	5.29%	$4.17	$1.10
Keldon Johnson	For the Win	RARE	4.71%	$4.50	$1.06
Moritz Wagner	Base Set	COMMON	3.76%	$0.49	$0.09
Al Horford	Base Set	COMMON	3.41%	$0.51	$0.09
LeBron James	Base Set	COMMON	2.59%	$0.67	$0.09
Giannis Antetokounmpo	Base Set	COMMON	2.82%	$0.56	$0.08
Alec Burks	Base Set	COMMON	3.18%	$0.47	$0.07

Edition EV = FMV × (drop_weight / pool_weight) × slots. Sums to Gross EV over the full pool. Snapshotted —. Methodology: cached pack_ev_history via the compute-pack-ev edge function.