Esports: Tournament Brackets, Patch Meta, and Roster Changes
Markets analysed
42
Avg lead changes
2.2
per market
Avg probability swing
48%
winner min to loser max
One-sided markets
33%
never changed leader
Esports markets cover major tournament results (The International, World Championship, CS2 Majors) and individual match outcomes. Like traditional sports, these markets move in real-time with game events and can have sharp momentum swings within a single match.
Esports markets often have lower liquidity than comparable sports markets, meaning larger price swings are possible on relatively small capital. Information about team conditions (roster changes, bootcamp results, recent scrimmage performance) is frequently available on community forums and social media before it is priced into the market.
Lead Change Distribution
How many times did the market leader flip during the market's lifetime? Zero means one side dominated from open to close. Higher numbers mean contested, back-and-forth outcomes: the kind that create the most trading opportunity.
Number of lead changes per market
Probability Range by Market
Each bar is one resolved market. The coloured zone spans from the winner's lowest point (left edge) to the loser's peak (white marker) — this is where a reversal was possible. The dim green tail extends from the loser's peak to 100%, where the winner eventually resolved. A wide red zone means the market was nearly overturned.
When Did Reversals Happen?
Each dot is a market that had at least one lead change. The x-axis shows when the last reversal happened as a percentage of the market's total lifetime. Points in the shaded red zone (75-100%) reversed in the final quarter, the highest-risk window for certainty sellers.
Community information is a structural edge in esports markets. Team roster changes, player visa issues, and coach departures are often public information on team Discords and fan forums hours or days before Polymarket prices react. Monitoring team communications ahead of major tournaments is one of the most consistent information advantages in this category.
Calibration Curve
When a Esports market prices the favourite at 80%, does it actually win 80% of the time? Points below the dashed diagonal mean the market is overconfident. Each coloured line shows calibration at a different stage of the market's lifetime; systematic deviation is where the edge lives.
Upset Probability Matrix
If the favourite is at X% at this stage of the market, how often does the underdog still win? Red cells are where the market is systematically overconfident. The Late (80%) row is the most actionable: this is where traders decide whether to fade certainty or follow momentum.
| When evaluated | 50–60% | 60–70% | 70–80% | 80–90% | 90–100% |
|---|---|---|---|---|---|
| Early (10%) | 38% upset 24 markets | 63% upset 8 markets | 60% upset 5 markets | — | 0% upset 5 markets |
| Midpoint (50%) | 29% upset 21 markets | 40% upset 10 markets | 75% upset 4 markets | — | 0% upset 7 markets |
| Late (80%) | 44% upset 16 markets | 40% upset 10 markets | 50% upset 2 markets | 0% upset 1 markets | 0% upset 13 markets |
Where Smart Money Enters
Every $10,000+ trade on a Esports market plotted by two dimensions: what probability was the market at when the trade happened (x-axis), and how far through the market's lifetime it was placed (y-axis). Brighter cells mean more large-capital entries at that combination. A cluster at low probability early suggests informed contrarian positioning. A cluster at high probability late suggests momentum-following by large accounts.
Most Dramatic Resolved Markets
Ranked by probability swing (the gap between the winner's lowest point and the loser's highest point). These are the markets where the eventual winner was most seriously challenged.
| Market | Lead changes | Winner low | Loser peak | Swing |
|---|---|---|---|---|
| Valorant: Nova Esports vs TYLOO - Map 2 Winner | 1 | 20% | 81% | 61pp |
| Dota 2: GLYPH vs Aurora (BO1) - BLAST Slam Group Stage | 2 | 23% | 78% | 55pp |
| Dota 2: Tundra Esports vs Xtreme Gaming - Game 1 Winner | 1 | 23% | 78% | 55pp |
| Dota 2: BetBoom Team vs PlayTime - Game 2 Winner | 1 | 27% | 73% | 46pp |
| Map Handicap: BBP (-1.5) vs Misa Esports (+1.5) | 6 | 28% | 73% | 45pp |
| Valorant: Pigeons vs Evil Geniuses Academy (BO3) - VCL North America: Stage 3 Group Stage | 3 | 28% | 72% | 44pp |
| Counter-Strike: CYBERSHOKE Prospects vs ex-Zero Tenacity (BO3) - CCT Europe Closed Qualifier: Series #3 Play-In | 5 | 28% | 72% | 43pp |
| Map Handicap: VOCA (-1.5) vs Chicken Coop Esports (+1.5) | 2 | 32% | 68% | 36pp |
| Dota 2: Team Yandex vs LGD Gaming - Game 3 Winner | 1 | 35% | 66% | 31pp |
| LoL: Karmine Corp vs G2 Esports - Game 1 Winner | 5 | 36% | 64% | 28pp |
Act on these patterns in real time
Polyshadow signals fire when smart money bets match the patterns described above: late-money whale positions, new-account bets, and convergence across unconnected wallets.
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