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LoL: Weibo Gaming vs JD Gaming (BO3) - LPL Group Ascend

"LoL: Weibo Gaming vs JD Gaming (BO3) - LPL Group Ascend" — live political-market odds plus comparison across the four major prediction venues.

52 outcomes · leader: Both Teams Slay a Dragon at 100%

0% YES 100% NO Volume: $2.9M 24h volume: $2.8M Liquidity: $2.2M Opened: 7 May 2026 Closes: 14 May 2026

Resolution criteria: This market refers to the LoL match between Weibo Gaming and JD Gaming in the LPL Group Ascend, initially scheduled for May 14 at 7:00AM ET. This market will resolve to "Weibo Gaming" if Weibo Gaming win the match against JD Gaming. This market will resolve to "JD Gaming" if JD Gaming win the match against Weibo Gaming. If the match is canceled (not played at all), ends in a tie, or is delayed beyond 7 days from the scheduled date without a winner determined, this market will resolve to 50-50

Open live market →
LoL: Weibo Gaming vs JD Gaming (BO3) - LPL Group Ascend

Market statistics

Total volume
$2.9M
24h volume
$2.8M
Liquidity
$2.2M
Open interest
$2.0M

Platform comparison

PlatformYES oddsNO oddsFeeKYCSettlement
Polymarket (via PolyGram) Pick
polygram.ink (preferred broker)
0% 100% 0% (USDC on-chain) No-KYC up to $1,500 USDC, auto via UMA oracle Trade this market →
Polymarket (direct)
polymarket.com
0% 100% 0% Geo-blocked in US/UK/EU USDC, on-chain Trade this market →
Kalshi
kalshi.com
Up to 7% per trade US-only, KYC required USD Trade this market →
Betfair Exchange
betfair.com
2-5% commission Full KYC from first trade GBP / EUR Trade this market →
Manifold Markets
manifold.markets
Play-money (mana) None — play-money Mana (no cash-out) Trade this market →

Available prediction outcomes (52)

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

#1 Both Teams Slay a Dragon
Both Teams Slay a Dragon ▲ +33.0%
Vol $50 · 24h $50
100% Trade →
#2 Both Teams Slay a Dragon
Both Teams Slay a Dragon ▲ +33.5%
Vol $50 · 24h $50
100% Trade →
#3 Match Winner
Match Winner ▲ +66.5%
Vol $1.3M · 24h $1.2M
100% Trade →
#4 Game 1 Winner
Game 1 Winner ▲ +61.5%
Vol $586K · 24h $586K
100% Trade →
#5 O/U 2.5 Games
O/U 2.5 Games ▲ +52.4%
Vol $7K · 24h $7K
100% Trade →
#6 Total Kills Over/Under 23.5 in Game 1?
Total Kills Over/Under 23.5 in Game 1?
Vol $65 · 24h $65
100% Trade →
#7 Total Kills Over/Under 22.5 in Game 1?
Total Kills Over/Under 22.5 in Game 1?
Vol $65 · 24h $65
100% Trade →
#8 Total Kills Over/Under 21.5 in Game 1?
Total Kills Over/Under 21.5 in Game 1?
Vol $280 · 24h $280
100% Trade →
#9 Odd/Even Total Kills
Odd/Even Total Kills ▲ +40.0%
Liq $118
90% Trade →
#10 Total Kills Over/Under 16.5 in Game 2?
Total Kills Over/Under 16.5 in Game 2?
Vol $15 · 24h $15
90% Trade →
#11 Total Kills Over/Under 17.5 in Game 2?
Total Kills Over/Under 17.5 in Game 2?
Vol $15 · 24h $15
90% Trade →
#12 Total Kills Over/Under 18.5 in Game 2?
Total Kills Over/Under 18.5 in Game 2?
Vol $15 · 24h $15
90% Trade →
#13 Both Teams Destroy Inhibitors
Both Teams Destroy Inhibitors ▲ +25.5%
50% Trade →
#14 Any Player Quadra Kill
Any Player Quadra Kill ▲ +23.5%
50% Trade →
#15 Both Teams Destroy Inhibitors
Both Teams Destroy Inhibitors ▲ +25.5%
50% Trade →
#16 Any Player Quadra Kill
Any Player Quadra Kill ▲ +23.5%
50% Trade →
#17 Both Teams Slay Baron Nashor
Both Teams Slay Baron Nashor ▼ -1.5%
50% Trade →
#18 Both Teams Slay a Dragon
Both Teams Slay a Dragon ▲ +9.0%
50% Trade →
#19 Both Teams Destroy Inhibitors
Both Teams Destroy Inhibitors
50% Trade →
#20 Any Player Quadra Kill
Any Player Quadra Kill ▼ -2.0%
50% Trade →
#21 Any Player Penta Kill
Any Player Penta Kill ▼ -6.0%
50% Trade →
#22 Odd/Even Total Kills
Odd/Even Total Kills
50% Trade →
#23 Any Player Penta Kill
Any Player Penta Kill ▲ +44.0%
Vol $17 · Liq $0
50% Trade →
#24 Both Teams Slay Baron Nashor
Both Teams Slay Baron Nashor ▼ -16.5%
Liq $118
10% Trade →
#25 Total Kills Over/Under 19.5 in Game 2?
Total Kills Over/Under 19.5 in Game 2?
Vol $15 · 24h $15
10% Trade →
#26 Total Kills Over/Under 20.5 in Game 2?
Total Kills Over/Under 20.5 in Game 2?
Vol $15 · 24h $15
10% Trade →
#27 Any Player Penta Kill
Any Player Penta Kill ▲ +3.9%
Vol $21 · Liq $13
8% Trade →
#28 Total Kills Over/Under 26.5 in Game 1?
Total Kills Over/Under 26.5 in Game 1? ▼ -57.0%
Vol $1K · 24h $1K
0% Trade →
#29 Total Kills Over/Under 26.5 in Game 2?
Total Kills Over/Under 26.5 in Game 2? ▼ -50.0%
Vol $55 · 24h $55
0% Trade →
#30 Total Kills Over/Under 29.5 in Game 1?
Total Kills Over/Under 29.5 in Game 1? ▼ -50.0%
Vol $74 · 24h $74
0% Trade →
#31 Total Kills Over/Under 29.5 in Game 2?
Total Kills Over/Under 29.5 in Game 2? ▼ -50.0%
Vol $115 · 24h $115
0% Trade →
#32 Total Kills Over/Under 28.5 in Game 1?
Total Kills Over/Under 28.5 in Game 1? ▼ -50.0%
Vol $94 · 24h $94
0% Trade →
#33 Total Kills Over/Under 28.5 in Game 2?
Total Kills Over/Under 28.5 in Game 2? ▼ -50.0%
Vol $55 · 24h $55
0% Trade →
#34 Total Kills Over/Under 27.5 in Game 1?
Total Kills Over/Under 27.5 in Game 1? ▼ -50.0%
Vol $13K · 24h $13K
0% Trade →
#35 Total Kills Over/Under 25.5 in Game 2?
Total Kills Over/Under 25.5 in Game 2? ▼ -50.0%
Vol $55 · 24h $55
0% Trade →
#36 Total Kills Over/Under 25.5 in Game 1?
Total Kills Over/Under 25.5 in Game 1? ▼ -50.0%
Vol $55 · 24h $55
0% Trade →
#37 Total Kills Over/Under 27.5 in Game 2?
Total Kills Over/Under 27.5 in Game 2? ▼ -50.0%
Vol $252 · 24h $252
0% Trade →
#38 First Blood in Game 1?
First Blood in Game 1? ▼ -50.0%
Vol $240 · 24h $240
0% Trade →
#39 First Blood in Game 2?
First Blood in Game 2? ▼ -50.0%
Vol $1K · 24h $1K
0% Trade →
#40 Both Teams Slay Baron Nashor
Both Teams Slay Baron Nashor ▼ -26.5%
Liq $448
0% Trade →
#41 Odd/Even Total Kills
Odd/Even Total Kills ▼ -50.0%
Liq $448
0% Trade →
#42 Game 2 Winner
Game 2 Winner ▼ -38.5%
Vol $509K · 24h $509K
0% Trade →
#43 Game Handicap: JDG (-1.5) vs Weibo Gaming (+1.5)
Game Handicap: JDG (-1.5) vs Weibo Gaming (+1.5) ▼ -39.0%
Vol $490K · 24h $490K
0% Trade →
#44 Total Kills Over/Under 24.5 in Game 2?
Total Kills Over/Under 24.5 in Game 2?
Vol $55 · 24h $55
0% Trade →
#45 Total Kills Over/Under 24.5 in Game 1?
Total Kills Over/Under 24.5 in Game 1?
Vol $55 · 24h $55
0% Trade →
#46 Total Kills Over/Under 30.5 in Game 1?
Total Kills Over/Under 30.5 in Game 1?
Vol $180 · 24h $180
0% Trade →
#47 Total Kills Over/Under 31.5 in Game 1?
Total Kills Over/Under 31.5 in Game 1?
Vol $65 · 24h $65
0% Trade →
#48 Total Kills Over/Under 32.5 in Game 1?
Total Kills Over/Under 32.5 in Game 1?
Vol $180 · 24h $180
0% Trade →
#49 Game Handicap: WB (-1.5) vs JD Gaming (+1.5)
Game Handicap: WB (-1.5) vs JD Gaming (+1.5)
Vol $315 · 24h $315
0% Trade →
#50 Total Kills Over/Under 22.5 in Game 2?
Total Kills Over/Under 22.5 in Game 2?
Vol $65 · 24h $65
0% Trade →
#51 Total Kills Over/Under 23.5 in Game 2?
Total Kills Over/Under 23.5 in Game 2?
Vol $65 · 24h $65
0% Trade →
#52 Total Kills Over/Under 21.5 in Game 2?
Total Kills Over/Under 21.5 in Game 2?
Vol $65 · 24h $65
0% Trade →

Market context

Weibo Gaming and JD Gaming are scheduled to compete in a best-of-three League of Legends match within the LPL Group Ascend on 14 May 2026. The match forms part of the League of Legends Pro League's domestic competition structure in China, where both organisations field rosters competing at the highest level of regional play. The current market probability of 50-50 reflects genuine uncertainty between two established LPL franchises with comparable recent performance records.

Historical matchups between these organisations show competitive parity, with neither team establishing consistent dominance in head-to-head records over recent seasons. Both Weibo Gaming and JD Gaming have demonstrated capacity to reach playoffs and compete for regional titles, though their current roster compositions and mid-season form will materially affect match outcomes. Recent LPL seasons have shown that team momentum, patch adaptation, and coaching adjustments often prove decisive in closely-matched fixtures.

Traders should monitor roster announcements, injury disclosures, and any schedule changes from the LPL's official communications in the weeks preceding the fixture. Patch updates released before the match date may favour particular team compositions or playstyles, shifting competitive advantage. Recent performance in preceding Group Ascend matches will provide concrete data on current form, with teams showing stronger early-game execution or late-game teamfighting capabilities likely to influence betting markets closer to the scheduled start time. The settlement window's seven-day buffer accounts for potential rescheduling, though LPL fixtures typically proceed as scheduled absent extraordinary circumstances.

Wikipedia Context

  • Gumbel distribution
    Gumbel distribution

    In probability theory and statistics, the Gumbel distribution is used to model the distribution of the maximum of a number of samples of various distributions.

  • LOL (web series)

    LOL is a web series exploring teen relationships, drug use and social networks. It premiered on Blip on 29 November 2008. There are 20 webisodes in total, ranging between 2 and 5 minutes in length with the last webisode being 10 minutes long. The series was self-funded, with initial help in kind from a local production company. It was shot on a Red One digit

  • Bobby Lowe
    Bobby Lowe

    Robert Lincoln Lowe, nicknamed "Link", was an American Major League Baseball (MLB) player, coach, and scout. He played for the Boston Beaneaters (1890–1901), Chicago Cubs (1902–1903), Pittsburgh Pirates (1904), and Detroit Tigers (1904–1907). Lowe was the first player in Major League history to hit four home runs in a game, a feat which he accomplished in Ma

  • Bob Lowes

    Robert Lowes is a Canadian ice hockey executive, and former ice hockey coach. He has worked as the assistant director of player personnel for the Vegas Golden Knights since 2016. Lowes led the Nipawin Hawks to the 1990 ANAVET Cup championship, before being a head coach in the Western Hockey League (WHL) for 12 seasons with the Brandon Wheat Kings, and the Re

Methodology

This page tracks LoL: Weibo Gaming vs JD Gaming (BO3) - LPL Group Ascend across four political prediction venues. Live odds come from the Polymarket order book (the deepest political prediction-market book). Kalshi is the CFTC-regulated US alternative, Betfair the established UK sports-exchange with politics markets, Manifold the open play-money variant. For users geo-blocked from Polymarket directly, brokers like PolyGram provide a 0%-fee route into the same order book.

Resolution & payout

Resolution source: This market settles from the official publication at https://www.twitch.tv/lplenglish. 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.

For political markets the resolution source is decisive. Polymarket defines a concrete source per contract (e.g. AP, Reuters, official electoral commission) and uses the UMA Optimistic Oracle as the on-chain dispute mechanism. With a clearly defined outcome the USDC payout lands within minutes of the final confirmation.

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.
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.
Which political events have the biggest volume?
US Presidential election, party nominations (DNC/RNC), Senate majorities, individual state outcomes (Pennsylvania, Michigan, Wisconsin), and major European elections. Peak markets reach $50-500M per event.

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