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LoL: Fluxo W7M vs FURIA Esports (BO3) - CBLOL Regular Season

How the prediction markets are pricing "LoL: Fluxo W7M vs FURIA Esports (BO3) - CBLOL Regular Season" right now — live Polymarket order book quote, plus platform comparison.

Game Handicap: FUR (-1.5) vs Fluxo W7M (+1.5) 100% Both Teams Slay a Dragon 90% Odd/Even Total Kills 90% Both Teams Slay Baron Nashor 50% Volume: $306K Liquidity: $822K Closes: 10 Aug 2026
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LoL: Fluxo W7M vs FURIA Esports (BO3) - CBLOL Regular Season

Platform comparison

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

Outcome probabilities

Current market-implied probability for each outcome, from the live order book.

OutcomeProbability
Game Handicap: FUR (-1.5) vs Fluxo W7M (+1.5)100%
Both Teams Slay a Dragon90%
Odd/Even Total Kills90%
Both Teams Slay Baron Nashor50%
Both Teams Slay a Dragon50%
Both Teams Destroy Inhibitors50%
Any Player Quadra Kill50%
Any Player Penta Kill50%
Odd/Even Total Kills50%
Both Teams Slay Baron Nashor50%
Both Teams Slay a Dragon50%
Both Teams Destroy Inhibitors50%
Any Player Quadra Kill50%
Any Player Penta Kill50%
Odd/Even Total Kills50%
First Blood in Game 2?50%
Total Kills Over/Under 24.5 in Game 2?50%
Total Kills Over/Under 27.5 in Game 2?50%
Total Kills Over/Under 30.5 in Game 2?50%
Total Kills Over/Under 33.5 in Game 2?50%
Total Kills Over/Under 21.5 in Game 2?50%
Total Kills Over/Under 18.5 in Game 2?50%
Total Kills Over/Under 24.5 in Game 1?25%
Both Teams Slay Baron Nashor10%
Both Teams Destroy Inhibitors10%
Any Player Quadra Kill10%
Total Kills Over/Under 27.5 in Game 1?10%
Total Kills Over/Under 30.5 in Game 1?10%
Total Kills Over/Under 33.5 in Game 1?10%
Any Player Penta Kill1%
First Blood in Game 1?1%
Total Kills Over/Under 21.5 in Game 1?1%
Game 1 Winner0%
Game 2 Winner0%
Match Winner0%
O/U 2.5 Games0%

Market context

Fluxo W7M’s BO3 against FURIA Esports in the CBLOL regular season is being priced as a near-certainty for FURIA, but the live market’s 0% YES print mainly reflects how quickly this series is expected to be decided rather than a genuine claim that Fluxo cannot win. Pre-match and live listings from major esports trackers and prediction venues show FURIA as the stronger side overall, with Strafe users backing FURIA at 93.7%, and Kalshi also showing FURIA at 89% in related pricing[9][18]. That kind of split is consistent with the broader shape of the matchup: FURIA have generally carried the stronger recent profile, while Fluxo W7M have been the more volatile roster, capable of upsetting a favoured opponent but less reliable across a full series[4][10].

For traders, the key catalyst is whether the match starts on schedule and whether the teams field their expected line-ups, because the market terms resolve to 50-50 if the contest is cancelled, tied, or delayed beyond seven days without a winner[4][7]. Recent head-to-head and form data also matter: FURIA won the January 2026 meeting 1-0 in CBLOL regular season play, while another April 2026 clash went 2-0 to Fluxo W7M, which is the main comparable case keeping this from being a pure one-way narrative[1][2][6]. With the market set around an August 9 start, the practical driver is not campaign-style momentum but whether the series is actually played to completion, since a completed BO3 is what determines whether the current FURIA lean is realised[4][9].

Sources: 1 · 2 · 3 · 4 · 5

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 LoL: Fluxo W7M vs FURIA Esports (BO3) - CBLOL Regular Season 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

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.

UK Frequently Asked Questions

How accurate are political prediction markets?
Historically more accurate than polls. Polymarket's Brier score on US 2024 elections was ~0.11 — better than 538 (~0.14) and every mainstream poll. Markets aggregate information with real skin in the game.
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 Trump Prediction 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 UK election prediction markets available from the UK?
Yes. Betfair Exchange and Smarkets offer UKGC-regulated UK election markets (seat counts, party share, constituency results). Polymarket also lists UK election contracts with deeper global liquidity. Betfair winnings are typically tax-free for UK individuals; Polymarket profits are subject to HMRC CGT.
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