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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Counter-Strike: DashSkins vs Crashers (BO3) - CCT South America Series #10 Group Stage
kalshi
polymarket

Counter-Strike: DashSkins vs Crashers (BO3) - CCT South America Series #10 Group Stage

Volume:
$21,558

Match Winner

all

2 markets

Polymarket

Kalshi

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 19, 2026

Closed: Mar 19, 12:00 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

Match Winner

View
100%
Yes 100¢No 0¢
—
N/A
$11,151
N/A
N/A
N/A
Settled
Yes
kalshi

Crashers

0%
Yes 0¢No 100¢
—
N/A
$2,775
N/A
N/A
$2,757
Settled
No
polymarket

Map 1 Winner

100%
Yes 100¢No 0¢
—
N/A
$2,842
N/A
N/A
N/A
Settled
Yes
kalshi

DashSkins

100%
Yes 100¢No 0¢
—
N/A
$2,587
N/A
N/A
$2,156
Settled
Yes
polymarket

Odd/Even Total Rounds

100%
Yes 100¢No 0¢
—
N/A
$744
N/A
N/A
N/A
Settled
Yes
polymarket

Map Handicap: DS (-1.5) vs Crashers (+1.5)

100%
Yes 100¢No 0¢
—
N/A
$370
N/A
N/A
N/A
Settled
Yes
polymarket

Map 2 Winner

100%
Yes 100¢No 0¢
—
N/A
$280
N/A
N/A
N/A
Settled
Yes
polymarket

Odd/Even Total Rounds

100%
Yes 100¢No 0¢
—
N/A
$237
N/A
N/A
N/A
Settled
Yes
polymarket

Odd/Even Total Kills

100%
Yes 100¢No 0¢
—
N/A
$107
N/A
N/A
N/A
Settled
Yes
polymarket

Odd/Even Total Kills

50%
Yes 50¢No 51¢
—
N/A
$40
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Rounds

50%
Yes 50¢No 51¢
—
N/A
$10
N/A
N/A
N/A
Settled
No
polymarket

O/U 2.5 Games

0%
Yes 0¢No 100¢
—
N/A
$309
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Kills

0%
Yes 0¢No 100¢
—
N/A
$107
N/A
N/A
N/A
Settled
No
Total markets: 13

Description

This event group covers a Counter-Strike best-of-three match between DashSkins and Crashers in the CCT South America Series #10 Group Stage, scheduled for March 18, 2026 at 6:00 PM ET. Markets span match winner, individual map winners, map-level statistics (rounds and kills), series length, and handicap outcomes.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi match winner market contains a logical contradiction: both possible outcomes (DashSkins wins OR Crashers wins) resolve to Yes, making the market fundamentally unresolvable. Polymarket provides a coherent binary outcome structure.Hero tip: Disregard Kalshi match winner market entirely due to logical impossibility. For match winner resolution, use Polymarket rules: resolve to DashSkins if DashSkins wins, Crashers if Crashers wins. For all map-level markets (Map 1/2/3 winners, rounds, kills, series length, handicap), Polymarket rules are internally consistent and should be applied uniformly across both platforms.

Critical divergence points:

  • Kalshi: Match winner market states: 'If DashSkins wins... resolves to Yes. If Crashers wins... resolves to Yes.' This creates a logical contradiction where both mutually exclusive outcomes produce the same resolution. The market lacks a No outcome or tie-breaker logic, rendering it unresolvable.
  • Polymarket: Match winner market provides clear binary outcomes: 'resolves to DashSkins if DashSkins win the match' and 'resolves to Crashers if Crashers win the match.' Includes comprehensive edge-case handling: cancellation, tie, delay >7 days, or forfeit/walkover = 50-50; match begins but incomplete with one team winning by forfeit/disqualification = resolves to winning team.
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.