AI verdict
Model consensus and the Glicko-2 rating lean to Wang M. Full breakdown below.
Picks locked before kickoff results verified after public accuracy log →
WTT Europe Smash
Wang M face Kuai M on August 16, 2026 in the WTT Europe Smash, International.
Recent form (W-D-L): Wang M 5-0-0, Kuai M 3-0-0. These sides have met 3 times recently — the head-to-head record is shown below. PropickAI's Glicko-2 model gives the home side 71% to win. Below: team form, head-to-head history, bookmaker odds and the full PropickAI AI breakdown.
Estimate from the market line (no margin)
1 Wang M — 71%
Model estimate: win Wang M 71.3%, win Kuai M 28.7%. Model favourite — Wang M.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
The summary is built from our prematch context: line, form, lineups and Glicko.
For reference
↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
Head-to-head and form stats
Head-to-head and recent form per sports statistics — for reference.
Play-by-play
Play-by-play: gismo. For reference.
Full match breakdown: outcomes, market scenarios, form, lineups and key risks. During live you can get another, more accurate prediction accounting for the score, minute and tempo. Price: $1
Picks locked before kickoff results verified after public accuracy log →Payment via YooKassa. After payment we will redirect you to a private link with the prediction.
V baze uchteny nedavnie matchi oboikh uchastnikov.
PropickAI math model.Glicko-2 and sport-spetsifichnye pravila dlya predmatchevoy otsenki.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Glicko-2 and sport-spetsifichnye pravila dlya predmatchevoy otsenki.
| Outcome | Fonbet |
|---|---|
| 1.72 58.1% | |
| 1.90 52.6% | |
| 1.72 58.1% | |
| 1.83 54.6% | |
| 2.00 50.0% | |
| 1.80 55.6% | |
| 2.00 50.0% | |
| 1.87 53.5% | |
| 1.65 60.6% | |
| 5.50 18.2% | |
| 1.50 66.7% | |
| 2.50 40.0% | |
| 1.75 57.1% | |
| 1.70 58.8% | |
| 1.80 55.6% | |
| 1.85 54.1% | |
| 2.00 50.0% | |
| 1.85 54.1% |
| Outcome | Fonbet |
|---|---|
| 1.01 99.0% | |
| 11.00 9.1% |
| Outcome | Fonbet |
|---|---|
| Over 67.5 | 1.68 59.5% |
| Over 68.5 | 1.70 58.8% |
| Over 69.5 | 2.35 42.6% |
| Over 70.5 | 1.90 52.6% |
| Over 71.5 | 2.05 48.8% |
| Over 73.5 | 2.65 37.7% |
| Over 74.5 | 1.85 54.1% |
| Over 75.5 | 1.90 52.6% |
| Over 80.5 | 1.85 54.1% |
| Over 81.5 | 1.87 53.5% |
| Over 83.5 | 1.83 54.6% |
| Over 100.5 | 1.63 61.4% |
| Over 101.5 | 1.65 60.6% |
| Over 102.5 | 1.70 58.8% |
| Over 103.5 | 1.82 55.0% |
| Over 104.5 | 1.85 54.1% |
| Over 105.5 | 1.83 54.6% |
| Over 106.5 | 1.85 54.1% |
Wang M
Kuai M
Full head-to-head history: Wang M - Kuai M
The Wang M - Kuai M breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
| 23/11/34 | Service Points Won | 15/21/36 |
| 21/15/36 | Receiver Points Won | 11/23/34 |
| 6 | Biggest lead | 2 |
| 23/11/34 | Service Points Won (expedite) | 15/21/36 |
| 21/15/36 | Receiver Points Won (expedite) | 11/23/34 |
| 3 | Number of lets | 0 |
| 44 | Points won | 26 |
| 0 | Service errors | 0 |
| 5 | Max Points in a Row | 3 |
| 2 | Comeback to win | 0 |
| 0 | Timeouts | 1 |
Sportradar · Winline StatsHub
Sportradar · Winline StatsHub
By the PropickAI model, Wang M is favoured — about 71% win probability.
The consensus of 7 AI models and the Glicko-2 rating leans to Wang M. Full probabilities and bookmaker odds are shown on this page.
August 16, 2026.
