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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Dota 2: Team Spirit vs Tundra Esports (BO2) - DreamLeague Stage 1 Group B
polymarket
kalshi

Dota 2: Team Spirit vs Tundra Esports (BO2) - DreamLeague Stage 1 Group B

Volume:
$224,107

Tundra Esports

 - Kalshi

Tundra Esports - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Apr 17, 2026

Closed: Feb 18, 5:30 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

Tundra Esports

View
100%
Yes 100¢No 0¢
—
$1,789
$2,388
N/A
N/A
$1,470
Settled
Yes
polymarket

Game 2 Winner

View
0%
Yes 0¢No 100¢
—
N/A
$97,359
N/A
N/A
N/A
Settled
Yes
polymarket

Game 1 Winner

View
0%
Yes 0¢No 100¢
—
N/A
$78,687
N/A
N/A
N/A
Settled
Yes
polymarket

Match Winner

View
0%
Yes 0¢No 100¢
—
N/A
$28,835
N/A
N/A
N/A
Settled
Yes
kalshi

Team Spirit

View
0%
Yes 0¢No 100¢
—
$1,280
$16,837
N/A
N/A
$15,543
Settled
No
Total markets: 5

Description

This event group covers a best-of-two Dota 2 match between Team Spirit and Tundra Esports scheduled for February 18, 2026 at 1:30 PM ET as part of DreamLeague Stage 1 Group B. Markets track the overall match winner, Game 1 winner, and Game 2 winner across Polymarket and Kalshi platforms.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Polymarket provides detailed, source-specific resolution logic with explicit edge-case handling and a 2-hour reporting window. Kalshi uses a logically problematic binary yes/no structure where both possible match outcomes are stated to resolve to Yes, with no source specification or tie/cancellation protocol defined.Hero tip: Polymarket markets are resolvable and transparent; use Dotabuff for series outcome and Twitch ESL_Dota2 for individual game results. Kalshi's market structure appears to contain a documentation error—clarify whether a Tundra win resolves to Yes or No before trading. Expect Polymarket to resolve first and most reliably within 2 hours of match conclusion.

Critical divergence points:

  • Polymarket: Three separate markets (series winner, Game 1 winner, Game 2 winner) with explicit resolution sources: Dotabuff for series, Twitch ESL_Dota2 for individual games. Fallback to credible reporting (video evidence) within 2 hours. Ties, cancellations, and pre-match forfeits resolve 50-50. Completed games resolve based on outcome even if series is incomplete. Key Quote: 'The resolution source for this market will be official information from https://www.dotabuff.com. However, if https://www.dotabuff.com has not published final results within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead including video evidence.'
  • Kalshi: Single binary yes/no market structure where both Team Spirit victory and Tundra Esports victory are stated to resolve to Yes. No resolution source, tie protocol, or cancellation clause specified. Logical contradiction: both possible outcomes cannot both resolve to the same value. Key Quote: 'If Team Spirit wins DreamLeague 2026: Tundra Esports vs. Team Spirit Dota 2 match originally scheduled for Feb 18, 2026, then the market resolves to Yes. If Tundra Esports wins DreamLeague 2026: Tundra Esports vs. Team Spirit Dota 2 match originally scheduled for Feb 18, 2026, then the market resolves to Yes.'
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.