A. Li vs A. Korneeva — prediction
›Ranking: #29 vs #98 (better ranked)
›Recent form: 5/10 in recent matches
›Model 64% vs market 46% → the model sees it as MORE likely than the odds
!Coming off 3 losses in a row
Li's ranking (#29) is markedly higher than Korneeva's (#98), and her Elo rating (1650) also outpaces Korneeva's (1613). The model's baseline win rate of 51% for Li reflects this overall quality gap.
Ranking trend data shows Korneeva has climbed 24 spots recently versus Li's 1-spot move, hinting she may be trending upward, but the current level gap still tilts toward Li.
Over the last 10 matches, Korneeva has won 8 (WWWWLWWWLW) compared to Li's 5 (WLWLWWLLLW). This recent-form edge suggests sharper match rhythm for the underdog heading into this qualifying round.
Li did close her run with a win, but the volume of recent victories favors Korneeva, a tangible discrepancy this ranking gap alone doesn't erase.
Li's serve is the stronger number in isolation (60% points won vs Korneeva's 57%), but Korneeva's return game (49%) is unusually strong, well above Li's own return output (43%).
That means Korneeva projects to make more inroads on Li's serve than Li does on hers, a dynamic that could tighten service games and shift value toward return points for the underdog.
Within Li's WLWLWWLLLW sequence sits a stretch of three straight losses before she snapped it with a win. That kind of skid signals some recent vulnerability the ranking and Elo numbers don't fully capture.
The model rates Li a 64% favorite versus the market's 50% implied probability at 1.99 odds, producing a nominal +27.8% expected value. That is a meaningful gap on paper.
Still, this should be read cautiously: Korneeva's superior recent form (8-2 vs 5-5) and stronger return number (49% vs 43%) are real counterweights not obviously priced into the model's edge. Treat this as a modest, data-supported lean rather than a guaranteed value play - being the model's favorite is not the same as being the safer bet.
Impact and analysis from real match data (Elo, form, head-to-head, rest, surface vs baseline, weather, altitude). The model ≈ the market on average; the odds already capture almost all the edge. 18+ · gamble responsibly.