TOTAL VOLUME:

$134.2b

24H VOL:

$134,145,987

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,441,166,947

406,422

Markets across

30,383

events

MATCHED EVENTS:

2,688

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Valorant: Trace Esports vs Dragon Ranger Gaming (BO3) - VCT China Group Omega
kalshi
polymarket

Valorant: Trace Esports vs Dragon Ranger Gaming (BO3) - VCT China Group Omega

Volume:
$205,323

Dragon Ranger Gaming

 - Kalshi

Dragon Ranger Gaming - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 14, 2026

Closed: Apr 14, 11:00 AM 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

Dragon Ranger Gaming

View
100%
Yes 100¢No 0¢
—
N/A
$36,036
N/A
N/A
$24,609
Settled
Yes
polymarket

Map 1 Winner

100%
Yes 100¢No 0¢
—
N/A
$6,728
N/A
N/A
N/A
Settled
Yes
polymarket

O/U 2.5 Games

100%
Yes 100¢No 0¢
—
N/A
$1,550
N/A
N/A
N/A
Settled
Yes
polymarket

Match Winner

0%
Yes 0¢No 100¢
—
N/A
$118,998
N/A
N/A
N/A
Settled
No
kalshi

Trace Esports

0%
Yes 0¢No 100¢
—
N/A
$24,092
N/A
N/A
$16,353
Settled
No
polymarket

Map 2 Winner

0%
Yes 0¢No 100¢
—
N/A
$16,525
N/A
N/A
N/A
Settled
No
polymarket

Map Handicap: DRG (-1.5) vs Trace Esports (+1.5)

0%
Yes 0¢No 100¢
—
N/A
$1,383
N/A
N/A
N/A
Settled
No
polymarket

Map Handicap: TE (-1.5) vs Dragon Ranger Gaming (+1.5)

0%
Yes 0¢No 100¢
—
N/A
$11
N/A
N/A
N/A
Settled
No
Total markets: 8

Description

This event group covers a best-of-three Valorant match between Trace Esports and Dragon Ranger Gaming in the VCT China Group Omega, scheduled for April 14, 2026 at 7:00 AM EDT. Markets span match winner, individual map winners (Map 1 and Map 2), total games played, and map handicaps across two platforms.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi market contains a logical contradiction where both possible match outcomes (Dragon Ranger Gaming win OR Trace Esports win) resolve to Yes, making the market unresolvable and meaningless. Polymarket and related markets have coherent, mutually exclusive resolution paths.Hero tip: Do not trade the Kalshi market. It is fundamentally broken. All trading should reference Polymarket's match winner market and its derivative map/handicap markets, which use vlr.gg as the official source with a 2-hour publication window before consensus reporting is permitted.

Critical divergence points:

  • Kalshi: Market states: 'If Dragon Ranger Gaming wins... Yes' AND 'If Trace Esports wins... Yes'. This is a logical contradiction—both outcomes cannot both resolve to Yes. The market lacks any No resolution path and no edge-case handling for cancellations, ties, or delays. Key quote: 'If Dragon Ranger Gaming wins the VCT China 2026... match... then the market resolves to Yes. If Trace Esports wins... then the market resolves to Yes.'
  • Polymarket: Match winner market resolves to 'Trace Esports' if Trace Esports wins, or 'Dragon Ranger Gaming' if Dragon Ranger Gaming wins. Cancellation, tie, delay >7 days, or forfeit before start all resolve to 50-50. Forfeit/disqualification/walkover after match begins resolves to the winning team. Key quote: 'This market will resolve to Trace Esports if Trace Esports win the match... This market will resolve to Dragon Ranger Gaming if Dragon Ranger Gaming win the match... If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50.'
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.