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Dota 2: LGD Gaming vs Natus Vincere (BO3) - Esports World Cup Western Europe Closed Qualifier Playoffs

How the prediction markets are pricing "Dota 2: LGD Gaming vs Natus Vincere (BO3) - Esports World Cup Western Europe Closed Qualifier Playoffs" right now — live Polymarket order book quote, plus platform comparison.

87 outcomes · leader: Game 1 Winner at 100%

Game 1 Winner 100% Outcomes: 87 Runner-up: 100% Σ 4488% Volume: $377K 24h volume: $369K Liquidity: $535K Opened: 31 May 2026 Closes: 2 Jun 2026

Resolution criteria: This market refers to the Dota 2 Upper bracket final match between LGD Gaming and Natus Vincere in the Esports World Cup Western Europe Closed Qualifier Playoffs, initially scheduled for June 2 at 6:00AM ET. This market will resolve to "LGD Gaming" if LGD Gaming win the match against Natus Vincere. This market will resolve to "Natus Vincere" if Natus Vincere win the match against LGD Gaming. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the sche

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Dota 2: LGD Gaming vs Natus Vincere (BO3) - Esports World Cup Western Europe Closed Qualifier Playoffs

Market statistics

Total volume
$377K
24h volume
$369K
Liquidity
$535K
Open interest
$185K

Available prediction outcomes (87)

Sorted by descending live probability. Click any outcome to trade it on PolyGram.

#1 Game 1 Winner
Game 1 Winner ▲ +45.5%
Vol $49K · 24h $48K
100% Trade →
#2 Total Kills Over/Under 46.5 in Game 2?
Total Kills Over/Under 46.5 in Game 2?
100% Trade →
#3 Total Kills Over/Under 47.5 in Game 2?
Total Kills Over/Under 47.5 in Game 2?
100% Trade →
#4 Total Kills Over/Under 43.5 in Game 2?
Total Kills Over/Under 43.5 in Game 2?
100% Trade →
#5 Total Kills Over/Under 45.5 in Game 2?
Total Kills Over/Under 45.5 in Game 2?
100% Trade →
#6 Total Kills Over/Under 44.5 in Game 2?
Total Kills Over/Under 44.5 in Game 2?
100% Trade →
#7 Total Kills Over/Under 42.5 in Game 2?
Total Kills Over/Under 42.5 in Game 2?
100% Trade →
#8 Total Kills Over/Under 54.5 in Game 2?
Total Kills Over/Under 54.5 in Game 2?
100% Trade →
#9 Total Kills Over/Under 49.5 in Game 2?
Total Kills Over/Under 49.5 in Game 2? ▲ +50.0%
100% Trade →
#10 Total Kills Over/Under 51.5 in Game 2?
Total Kills Over/Under 51.5 in Game 2? ▲ +50.0%
100% Trade →
#11 Total Kills Over/Under 50.5 in Game 2?
Total Kills Over/Under 50.5 in Game 2? ▲ +50.0%
100% Trade →
#12 Total Kills Over/Under 48.5 in Game 2?
Total Kills Over/Under 48.5 in Game 2? ▲ +50.0%
100% Trade →
#13 Total Kills Over/Under 52.5 in Game 2?
Total Kills Over/Under 52.5 in Game 2? ▲ +50.0%
100% Trade →
#14 Total Kills Over/Under 56.5 in Game 2?
Total Kills Over/Under 56.5 in Game 2?
100% Trade →
#15 Total Kills Over/Under 57.5 in Game 2?
Total Kills Over/Under 57.5 in Game 2?
100% Trade →
#16 Total Kills Over/Under 62.5 in Game 2?
Total Kills Over/Under 62.5 in Game 2?
100% Trade →
#17 Total Kills Over/Under 58.5 in Game 2?
Total Kills Over/Under 58.5 in Game 2?
100% Trade →
#18 Total Kills Over/Under 63.5 in Game 2?
Total Kills Over/Under 63.5 in Game 2?
100% Trade →
#19 Total Kills Over/Under 59.5 in Game 2?
Total Kills Over/Under 59.5 in Game 2?
100% Trade →
#20 Total Kills Over/Under 60.5 in Game 2?
Total Kills Over/Under 60.5 in Game 2?
100% Trade →
#21 Total Kills Over/Under 61.5 in Game 2?
Total Kills Over/Under 61.5 in Game 2?
100% Trade →
#22 Total Kills Over/Under 64.5 in Game 2?
Total Kills Over/Under 64.5 in Game 2?
100% Trade →
#23 Total Kills Over/Under 65.5 in Game 2?
Total Kills Over/Under 65.5 in Game 2?
100% Trade →
#24 Total Kills Over/Under 71.5 in Game 2?
Total Kills Over/Under 71.5 in Game 2?
100% Trade →
#25 Total Kills Over/Under 66.5 in Game 2?
Total Kills Over/Under 66.5 in Game 2?
100% Trade →
#26 Total Kills Over/Under 69.5 in Game 2?
Total Kills Over/Under 69.5 in Game 2?
100% Trade →
#27 Total Kills Over/Under 70.5 in Game 2?
Total Kills Over/Under 70.5 in Game 2?
100% Trade →
#28 Total Kills Over/Under 67.5 in Game 2?
Total Kills Over/Under 67.5 in Game 2?
100% Trade →
#29 Total Kills Over/Under 68.5 in Game 2?
Total Kills Over/Under 68.5 in Game 2?
100% Trade →
#30 Total Kills Over/Under 75.5 in Game 2?
Total Kills Over/Under 75.5 in Game 2?
100% Trade →
#31 Total Kills Over/Under 73.5 in Game 2?
Total Kills Over/Under 73.5 in Game 2?
100% Trade →
#32 Total Kills Over/Under 74.5 in Game 2?
Total Kills Over/Under 74.5 in Game 2?
100% Trade →
#33 Total Kills Over/Under 72.5 in Game 2?
Total Kills Over/Under 72.5 in Game 2?
100% Trade →
#34 Total Kills Over/Under 77.5 in Game 2?
Total Kills Over/Under 77.5 in Game 2?
100% Trade →
#35 Total Kills Over/Under 76.5 in Game 2?
Total Kills Over/Under 76.5 in Game 2?
100% Trade →
#36 Total Kills Over/Under 78.5 in Game 2?
Total Kills Over/Under 78.5 in Game 2?
100% Trade →
#37 Total Kills Over/Under 55.5 in Game 2?
Total Kills Over/Under 55.5 in Game 2?
100% Trade →
#38 Total Kills Over/Under 53.5 in Game 2?
Total Kills Over/Under 53.5 in Game 2?
100% Trade →
#39 Match Winner
Match Winner ▲ +45.5%
Vol $241K · 24h $233K
100% Trade →
#40 O/U 2.5 Games
O/U 2.5 Games ▲ +50.9%
Vol $170 · 24h $170
100% Trade →
#41 Ends in Daytime
Ends in Daytime ▲ +48.4%
Liq $129K
100% Trade →
#42 First Blood in Game 2?
First Blood in Game 2? ▲ +48.4%
Liq $103K
100% Trade →
#43 Total Kills Over/Under 88.5 in Game 2?
Total Kills Over/Under 88.5 in Game 2?
50% Trade →
#44 Total Kills Over/Under 86.5 in Game 2?
Total Kills Over/Under 86.5 in Game 2?
50% Trade →
#45 Total Kills Over/Under 89.5 in Game 2?
Total Kills Over/Under 89.5 in Game 2?
50% Trade →
#46 Total Kills Over/Under 90.5 in Game 2?
Total Kills Over/Under 90.5 in Game 2?
50% Trade →
#47 Total Kills Over/Under 41.5 in Game 1?
Total Kills Over/Under 41.5 in Game 1?
Liq $3
48% Trade →
#48 Any Player Rampage
Any Player Rampage ▼ -17.0%
Vol $21 · Liq $121
10% Trade →
#49 Both Teams Beat Roshan
Both Teams Beat Roshan ▼ -43.5%
Liq $121
10% Trade →
#50 Any Player Ultra Kill
Any Player Ultra Kill ▼ -45.5%
Liq $121
10% Trade →
#51 Any Player Rampage
Any Player Rampage ▼ -47.0%
Liq $121
10% Trade →
#52 Game Handicap: LGD (-1.5) vs Natus Vincere (+1.5)
Game Handicap: LGD (-1.5) vs Natus Vincere (+1.5) ▼ -30.4%
Vol $1K · 24h $1K
0% Trade →
#53 Both Teams Beat Roshan
Both Teams Beat Roshan ▼ -28.0%
Liq $104K
0% Trade →
#54 Any Player Ultra Kill
Any Player Ultra Kill ▼ -29.9%
Liq $115K
0% Trade →
#55 Both Teams Destroy Barracks
Both Teams Destroy Barracks ▼ -50.9%
Liq $129K
0% Trade →
#56 Game 2 Winner
Game 2 Winner ▼ -53.4%
Vol $81K · 24h $81K
0% Trade →
#57 Ends in Daytime
Ends in Daytime ▼ -41.5%
0% Trade →
#58 Both Teams Beat Roshan
Both Teams Beat Roshan ▼ -28.4%
0% Trade →
#59 Both Teams Destroy Barracks
Both Teams Destroy Barracks ▼ -12.0%
Vol $5K · 24h $5K
0% Trade →
#60 Any Player Ultra Kill
Any Player Ultra Kill ▼ -26.5%
0% Trade →
#61 Any Player Rampage
Any Player Rampage ▼ -23.9%
Vol $21
0% Trade →
#62 Ends in Daytime
Ends in Daytime ▼ -51.4%
0% Trade →
#63 Both Teams Destroy Barracks
Both Teams Destroy Barracks ▼ -26.5%
0% Trade →
#64 Total Kills Over/Under 47.5 in Game 1?
Total Kills Over/Under 47.5 in Game 1?
0% Trade →
#65 Total Kills Over/Under 57.5 in Game 1?
Total Kills Over/Under 57.5 in Game 1?
0% Trade →
#66 Total Kills Over/Under 58.5 in Game 1?
Total Kills Over/Under 58.5 in Game 1?
0% Trade →
#67 Total Kills Over/Under 54.5 in Game 1?
Total Kills Over/Under 54.5 in Game 1?
0% Trade →
#68 Total Kills Over/Under 46.5 in Game 1?
Total Kills Over/Under 46.5 in Game 1?
0% Trade →
#69 Total Kills Over/Under 45.5 in Game 1?
Total Kills Over/Under 45.5 in Game 1?
0% Trade →
#70 Total Kills Over/Under 43.5 in Game 1?
Total Kills Over/Under 43.5 in Game 1?
0% Trade →
#71 Total Kills Over/Under 44.5 in Game 1?
Total Kills Over/Under 44.5 in Game 1?
0% Trade →
#72 Total Kills Over/Under 42.5 in Game 1?
Total Kills Over/Under 42.5 in Game 1?
0% Trade →
#73 Total Kills Over/Under 52.5 in Game 1?
Total Kills Over/Under 52.5 in Game 1? ▼ -40.0%
0% Trade →
#74 First Blood in Game 1?
First Blood in Game 1? ▼ -50.0%
Vol $134 · 24h $134
0% Trade →
#75 Total Kills Over/Under 48.5 in Game 1?
Total Kills Over/Under 48.5 in Game 1? ▼ -40.0%
0% Trade →
#76 Total Kills Over/Under 49.5 in Game 1?
Total Kills Over/Under 49.5 in Game 1? ▼ -41.0%
0% Trade →
#77 Total Kills Over/Under 50.5 in Game 1?
Total Kills Over/Under 50.5 in Game 1? ▼ -40.0%
0% Trade →
#78 Total Kills Over/Under 51.5 in Game 1?
Total Kills Over/Under 51.5 in Game 1? ▼ -40.0%
0% Trade →
#79 Total Kills Over/Under 55.5 in Game 1?
Total Kills Over/Under 55.5 in Game 1?
0% Trade →
#80 Total Kills Over/Under 56.5 in Game 1?
Total Kills Over/Under 56.5 in Game 1?
0% Trade →
#81 Total Kills Over/Under 85.5 in Game 2?
Total Kills Over/Under 85.5 in Game 2?
0% Trade →
#82 Total Kills Over/Under 84.5 in Game 2?
Total Kills Over/Under 84.5 in Game 2?
0% Trade →
#83 Total Kills Over/Under 83.5 in Game 2?
Total Kills Over/Under 83.5 in Game 2?
0% Trade →
#84 Total Kills Over/Under 81.5 in Game 2?
Total Kills Over/Under 81.5 in Game 2?
0% Trade →
#85 Total Kills Over/Under 87.5 in Game 2?
Total Kills Over/Under 87.5 in Game 2?
0% Trade →
#86 Total Kills Over/Under 82.5 in Game 2?
Total Kills Over/Under 82.5 in Game 2?
0% Trade →
#87 Total Kills Over/Under 53.5 in Game 1?
Total Kills Over/Under 53.5 in Game 1?
0% Trade →

Market context

This market refers to the Dota 2 Upper bracket final match between LGD Gaming and Natus Vincere in the Esports World Cup Western Europe Closed Qualifier Playoffs, initially scheduled for June 2 at 6:00AM ET. This market will resolve to "LGD Gaming" if LGD Gaming win the match against Natus Vincere. This market will resolve to "Natus Vincere" if Natus Vincere win the match against LGD Gaming. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the sche

Wikipedia Context

  • Dota Gozen
    Dota Gozen

    Dota Gozen , also known as Tsuchida Gozen, was a Japanese noblewoman and the mother of Oda Nobunaga, a major daimyō and politician of the Sengoku period regarded as the first "Great Unifier" of Japan.

  • Multiplayer online battle arena

    Multiplayer online battle arena (MOBA) is a subgenre of strategy video games in which two teams of players compete on a structured battlefield, each controlling a single character with distinctive abilities that grow stronger as the match progresses. The objective is to destroy the enemy team's main structure while defending one's own. In some MOBA games, th

Methodology

Political prediction markets differ structurally from sports betting: thinner liquidity, longer settlement windows, higher sensitivity to single news events. This page shows the live Polymarket quote for Dota 2: LGD Gaming vs Natus Vincere (BO3) - Esports World Cup Western Europe Closed Qualifier Playoffs plus platform attributes for the three reference venues, so you can see at a glance where the deepest market for this question sits.

Resolution & payout

Resolution source: This market settles from the official publication at https://www.twitch.tv/betboom_dota_ru2. A proposer submits the result to the UMA Optimistic Oracle on Polygon, the two-hour challenge window opens, and the smart contract pays out in USDC.

Political markets typically settle on official candidate or agency confirmation. Polymarket uses UMA Optimistic Oracle: a proposer posts the outcome with a bond, the two-hour window opens, then the smart contract pays USDC.

Kalshi settles USD via CFTC clearinghouse, with clearly defined resolution sources (e.g. AP race calls for elections). Betfair settles after the official outcome is registered with the league or agency. Manifold is play-money.

FAQ

What resolution source is used for elections?
Polymarket defines the source per contract — usually Associated Press (AP Race Call), Reuters or the official electoral commission. The source is stated in contract details before the market opens.
Can prediction markets influence election outcomes?
Markets reflect expectations rather than create them. Studies show public-facing markets can anchor expectations, but don't influence the underlying outcome. Political markets are information, not advocacy.
Which platform has the deepest political liquidity?
Polymarket — by far. US 2024 presidential volume was ~$3.5B vs Kalshi (~$200M) and Betfair (~$120M). Where Polymarket is geo-blocked, brokers like PolyGram route into the same order book at 0% fees.
How fast do political markets react to news?
High-liquidity markets move within seconds to minutes. A Trump tweet on the economy can shift the "Trump 2024" market 2-5 points before mainstream media has written anything.
Are political prediction markets legal in my country?
It varies. They sit in legal gray areas in most jurisdictions. Polymarket is geo-blocked from US/UK/EU; some broker frontends have a different geo footprint. Trade only with capital you can afford to lose, and only if you understand the legal status in your jurisdiction.

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