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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Dota 2: Team Falcons vs GamerLegion (BO2) - DreamLeague Stage 1 Group B
polymarket
kalshi

Dota 2: Team Falcons vs GamerLegion (BO2) - DreamLeague Stage 1 Group B

Volume:
$71,507

Tie

 - Kalshi

Tie - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 19, 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

Tie

View
100%
Yes 100¢No 0¢
—
$399
$1,303
N/A
N/A
$1,050
Settled
Yes
kalshi

Team Falcons

View
0%
Yes 0¢No 100¢
—
$663
$11,501
N/A
N/A
$10,907
Settled
No
kalshi

GamerLegion

View
0%
Yes 0¢No 100¢
—
$728
$4,595
N/A
N/A
$4,084
Settled
No
polymarket

Game 2 Winner

100%
Yes 100¢No 0¢
—
N/A
$10,639
0%
N/A
N/A
N/A
polymarket

Match Winner

50%
Yes 50¢No 50¢
—
N/A
$16,970
0%
N/A
N/A
N/A
polymarket

Game 1 Winner

0%
Yes 0¢No 100¢
—
N/A
$26,499
0%
N/A
N/A
N/A
Total markets: 6

Description

This event group covers a best-of-two Dota 2 match between Team Falcons and GamerLegion in DreamLeague Stage 1 Group B, scheduled for February 18, 2026 at 1:30 PM ET. Three 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-backed resolution logic with explicit edge-case handling and a 2-hour fallback window; Kalshi uses a binary Yes/No structure that conflates all outcomes (win, loss, tie) into Yes without specifying a resolution source or handling forfeiture/tie scenarios.Hero tip: Polymarket markets are more auditable and trader-friendly due to explicit source prioritization (dotabuff.com, then consensus) and clear tie/forfeit rules. Kalshi's binary structure creates ambiguity: clarify with the platform whether ties or pre-match forfeits resolve Yes or No before committing capital. If you trade both, expect Polymarket to resolve first (within 2 hours of match end) and use that as a leading indicator for Kalshi.

Critical divergence points:

  • Polymarket: Three separate markets (match winner, Game 1 winner, Game 2 winner) with explicit resolution sources (dotabuff.com for match, twitch.tv/esl_dota2 for individual games). Match winner resolves 50-50 on cancellation, tie, or delay beyond 7 days. Forfeits/walkovers before match start resolve 50-50; forfeits during play resolve to the winner. Game-specific markets resolve 50-50 if the game is not completed. 2-hour window for official source; credible reporting consensus thereafter. Key Quote: 'If the match ends in a forfeit, disqualification, or walkover (team withdraws before the start and the other wins automatically), this market will resolve to 50-50.'
  • Kalshi: Single binary market (Yes/No) that resolves Yes if Team Falcons wins, GamerLegion wins, or a Tie occurs. No resolution source is specified. No edge-case logic for forfeiture, cancellation, or tie handling is provided. The structure implies all three outcomes (Falcons win, GamerLegion win, Tie) trigger Yes, but does not clarify how pre-match forfeits or incomplete matches are treated. Key Quote: 'If Team Falcons wins... then the market resolves to Yes. If GamerLegion wins... then the market resolves to Yes. If Tie wins... 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.