TOTAL VOLUME:

$134.2b

24H VOL:

$130,522,377

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,438,389,636

404,028

Markets across

30,214

events

MATCHED EVENTS:

2,681

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Counter-Strike:  CSDIILIT vs Bushido Wildcats (BO3) - ESL Challenger League Europe Cup #2 Playoffs
kalshi
polymarket

Counter-Strike: CSDIILIT vs Bushido Wildcats (BO3) - ESL Challenger League Europe Cup #2 Playoffs

Volume:
$356,398

Bushido Wildcats

all

2 markets

Kalshi

Polymarket

consensus

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 17, 2026

Closed: Mar 16, 2:00 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

Bushido Wildcats

View
100%
Yes 100¢No 0¢
—
N/A
$18,629
N/A
N/A
$10,040
Settled
Yes
polymarket

Match Winner

0%
Yes 0¢No 100¢
—
N/A
$124,708
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Kills

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

Odd/Even Total Rounds

100%
Yes 100¢No 0¢
—
N/A
$226
N/A
N/A
N/A
Settled
Yes
polymarket

Map Handicap: BW (-1.5) vs CSDIILIT (+1.5)

100%
Yes 100¢No 0¢
—
N/A
$154
N/A
N/A
N/A
Settled
Yes
polymarket

Odd/Even Total Kills

100%
Yes 100¢No 0¢
—
N/A
$103
N/A
N/A
N/A
Settled
Yes
polymarket

Map 1 Winner

0%
Yes 0¢No 100¢
—
N/A
$138,471
N/A
N/A
N/A
Settled
No
polymarket

Map 2 Winner

0%
Yes 0¢No 100¢
—
N/A
$53,387
N/A
N/A
N/A
Settled
No
kalshi

CSDIILIT

0%
Yes 0¢No 100¢
—
N/A
$19,804
N/A
N/A
$12,674
Settled
No
polymarket

O/U 2.5 Games

0%
Yes 0¢No 100¢
—
N/A
$246
N/A
N/A
N/A
Settled
No
polymarket

Map Handicap: CSDIILIT (-1.5) vs Bushido Wildcats (+1.5)

0%
Yes 0¢No 100¢
—
N/A
$233
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Rounds

0%
Yes 0¢No 100¢
—
N/A
$206
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Kills

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
polymarket

Odd/Even Total Rounds

N/A
N/A
—
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 14

Description

A best-of-three Counter-Strike 2 match between CSDIILIT and Bushido Wildcats in the ESL Challenger League Europe Cup #2 Playoffs Upper bracket round 1, scheduled for March 16, 2026 at 10:00 AM ET. Markets cover series winner, individual map winners, map-level statistics (kills and rounds), and handicap outcomes.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Kalshi markets contain a logical contradiction: both team outcomes (Bushido Wildcats win AND CSDIILIT win) are mapped to the same resolution (Yes), making the market fundamentally unresolvable. Polymarket markets are logically sound and consistent.Hero tip: Kalshi markets are broken and should not be traded. Polymarket markets are safe to trade and follow standard esports resolution conventions with HLTV.org as primary source and credible reporting as fallback.

Critical divergence points:

  • Kalshi: Both outcomes resolve to Yes: 'If Bushido Wildcats wins the ESL Challenger League Europe Cup #2 2026... then Yes. If CSDIILIT wins the ESL Challenger League Europe Cup #2 2026... then Yes.' This is a logical impossibility for a binary market.
  • Polymarket: All markets use well-defined binary or categorical outcomes: series winner resolves to CSDIILIT or Bushido Wildcats; map winners resolve to one team; odd/even markets resolve to Odd or Even; handicap markets resolve based on map differential. All include clear cancellation, delay, and forfeit rules with 50-50 fallback or specific team resolution.
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.