TOTAL VOLUME:

$141.7b

24H VOL:

$113,958,174

24H TRANSACTIONS:

2,626,885,236

OPEN INTEREST:

$1,577,361,990

453,985

Markets across

34,993

events

MATCHED EVENTS:

2,922

PLATFORM COVERAGE:

5

Polymarket:

38%

VS.

Kalshi:

62%

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2026 NBA All-Star: 3-Point Contest Winner
polymarket
kalshi

2026 NBA All-Star: 3-Point Contest Winner

Volume:
$8,693,911

Damian Lillard

 - Kalshi

Damian Lillard - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 15, 2026

Closed: Feb 14, 8:00 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Damian Lillard

View
100%
Yes 100¢No 0¢
—
$773,977
$1,488,061
N/A
N/A
$1,166,671
Settled
Yes
kalshi

Kon Knueppel

0%
Yes 0¢No 100¢
—
$299,272
$2,052,864
N/A
N/A
$1,573,004
Settled
No
kalshi

Devin Booker

0%
Yes 0¢No 100¢
—
$229,562
$1,600,317
N/A
N/A
$1,425,376
Settled
No
kalshi

Jamal Murray

0%
Yes 0¢No 100¢
—
$804,840
$687,692
N/A
N/A
$620,226
Settled
No
kalshi

Donovan Mitchell

0%
Yes 0¢No 100¢
—
$801,762
$666,924
N/A
N/A
$632,951
Settled
No
kalshi

Bobby Portis Jr.

0%
Yes 0¢No 100¢
—
$773,493
$571,580
N/A
N/A
$528,191
Settled
No
kalshi

Norman Powell

0%
Yes 0¢No 100¢
—
-$11,125
$514,914
N/A
N/A
$495,806
Settled
No
kalshi

Tyrese Maxey

0%
Yes 0¢No 100¢
—
-$19,410
$503,119
N/A
N/A
$451,778
Settled
No
polymarket

Damian Lillard

100%
Yes 100¢No 0¢
—
N/A
$100,731
0%
N/A
N/A
N/A
polymarket

Devin Booker

0%
Yes 0¢No 100¢
—
N/A
$161,133
0%
N/A
N/A
N/A
polymarket

Kon Knueppel

0%
Yes 0¢No 100¢
—
N/A
$135,286
0%
N/A
N/A
N/A
polymarket

Bobby Portis Jr.

0%
Yes 0¢No 100¢
—
N/A
$82,384
0%
N/A
N/A
N/A
polymarket

Donovan Mitchell

0%
Yes 0¢No 100¢
—
N/A
$37,597
0%
N/A
N/A
N/A
polymarket

Normal Powell

0%
Yes 0¢No 100¢
—
N/A
$33,232
0%
N/A
N/A
N/A
polymarket

Jamal Murray

0%
Yes 0¢No 100¢
—
N/A
$33,118
0%
N/A
N/A
N/A
polymarket

Tyrese Maxey

0%
Yes 0¢No 100¢
—
N/A
$24,960
0%
N/A
N/A
N/A
polymarket

Placeholder A

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder G

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder C

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder D

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder H

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Other

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder F

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder B

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
polymarket

Placeholder E

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
N/A
Total markets: 25

Description

This event group tracks the winner of the 2026 NBA All-Star 3-Point Contest, scheduled for February 14, 2026. Markets across Polymarket and Kalshi allow traders to bet on individual players or catch-all outcomes. Resolution depends on official NBA declaration of the contest winner.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms resolve on the same core event—the official 2026 NBA All-Star 3-Point Contest winner—with Polymarket providing more explicit edge-case handling (cancellation, ineligibility, tiebreaker) than Kalshi's binary yes/no structure.Primary resolution logic: NBA.com official announcement; credible sports reporting consensus as secondary source

Core resolution logic:

  • Resolution occurs when the NBA officially declares the winner of the 2026 State Farm 3-Point Contest at NBA All-Star Weekend on February 14, 2026
  • Individual player markets (e.g., Donovan Mitchell, Damian Lillard) resolve Yes if that player wins; No if they do not win or become ineligible
  • Catch-all 'another player' or 'Other' markets resolve Yes if a player not explicitly listed wins the contest
  • In case of multiple announced winners, the player whose last name comes first alphabetically is deemed the winner
  • If a listed player is disqualified or withdraws before the contest, their individual market resolves No

Edge cases & clarifications:

  • Contest Cancellation or Postponement: If the 2026 3-Point Contest is cancelled, postponed past February 28, 2026 11:59 PM ET, or no winner is declared within that timeframe, Polymarket resolves to 'Other'. Kalshi has no explicit rule for this scenario and would likely remain unresolved pending clarification.
  • Player Ineligibility: If a listed player becomes ineligible per NBA rules (e.g., disqualification, injury withdrawal), Polymarket's individual market for that player resolves No. Kalshi's binary structure does not explicitly address this; the market would depend on whether the player actually competes.
  • Multiple Winners Announced: If two or more players are announced as co-winners, Polymarket applies alphabetical tiebreaker by last name. Kalshi does not address this scenario explicitly.
  • Placeholder Players: Polymarket includes eight placeholder markets (A through H) and one 'another player' catch-all. These resolve Yes only if a player not explicitly named wins. Kalshi lists only eight named players with no catch-all, creating potential ambiguity if an unlisted player wins.
  • Data Integrity - Typo in Polymarket: Polymarket lists 'Normal Powell' (Question 17); Kalshi correctly lists 'Norman Powell'. This is a minor transcription error that should resolve to the same player (Norman Powell, Denver Nuggets guard) on both platforms.
Timing: Resolution occurs on or shortly after February 14, 2026, when the NBA officially announces the 2026 3-Point Contest winner. Final resolution deadline is February 28, 2026, 11:59 PM ET; if no winner is declared by then, Polymarket resolves to 'Other'.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.