PICKLES

Vanshik Kapadia M

mens 22–13 · mixed 18–11

+5.2 (+3.5…+6.6)
pts vs avg pairing (90% interval)
—
of 286 active men (within gender only; no 2026 games)
40–24
career record · 62% wins, 57% of points
—
6-month form

Skill trajectory

Monthly posterior value (converted to points vs an average pairing) with a 90% credible band. Flat months = little evidence, not zero games.

2024-01 · +4.6 pts (90% band +2.7 to +6.1)2024-02 · +4.6 pts (90% band +2.7 to +6.1)2024-03 · +4.7 pts (90% band +2.8 to +6.1)2024-04 · +4.7 pts (90% band +2.9 to +6.1)2024-05 · +4.7 pts (90% band +3.0 to +6.1)2024-06 · +4.8 pts (90% band +3.1 to +6.1)2024-07 · +4.8 pts (90% band +3.2 to +6.1)2024-08 · +4.8 pts (90% band +3.2 to +6.1)2024-09 · +4.9 pts (90% band +3.3 to +6.1)2024-10 · +4.9 pts (90% band +3.4 to +6.1)2024-11 · +5.0 pts (90% band +3.5 to +6.1)2024-12 · +5.0 pts (90% band +3.6 to +6.1)2025-01 · +5.0 pts (90% band +3.6 to +6.1)2025-02 · +5.1 pts (90% band +3.7 to +6.1)2025-03 · +5.1 pts (90% band +3.8 to +6.1)2025-04 · +5.1 pts (90% band +3.9 to +6.1)2025-05 · +5.2 pts (90% band +3.9 to +6.2)2025-06 · +5.2 pts (90% band +4.0 to +6.2)2025-07 · +5.3 pts (90% band +4.1 to +6.2)2025-08 · +5.3 pts (90% band +4.1 to +6.2)2025-09 · +5.3 pts (90% band +4.1 to +6.2)2025-10 · +5.2 pts (90% band +4.0 to +6.2)2025-11 · +5.2 pts (90% band +4.0 to +6.2)2025-12 · +5.2 pts (90% band +3.9 to +6.3)2026-01 · +5.2 pts (90% band +3.9 to +6.3)2026-02 · +5.2 pts (90% band +3.8 to +6.4)2026-03 · +5.2 pts (90% band +3.7 to +6.4)2026-04 · +5.2 pts (90% band +3.7 to +6.4)2026-05 · +5.2 pts (90% band +3.7 to +6.4)2026-06 · +5.2 pts (90% band +3.6 to +6.5)2026-07 · +5.2 pts (90% band +3.6 to +6.5)2026-08 · +5.2 pts (90% band +3.5 to +6.5)2026-09 · +5.2 pts (90% band +3.5 to +6.5)2026-10 · +5.2 pts (90% band +3.5 to +6.6)+3+4+5+6202420252026pts vs avg pairing

Game log vs expectation

Dots = share of points actually won in each game; line = what the model expected given both pairings that month (weakest-link included; descriptive, not a frozen forecast).

2025-04-25 PPA · 2-11 · vs Burr/Wall · w/ Vrushali Thakare · model expected 46% of points2025-04-25 PPA · 3-11 · vs Burr/Wall · w/ Vrushali Thakare · model expected 46% of points2025-04-25 PPA · 13-11 (OT) · vs Rives/Platel · w/ Vrushali Thakare · model expected 48% of points2025-04-25 PPA · 11-5 · vs Rives/Platel · w/ Vrushali Thakare · model expected 48% of points2025-04-26 PPA · 11-3 · vs Vyver/Pari-Collins · w/ Leander Lazaro · model expected 78% of points2025-04-26 PPA · 11-2 · vs Vyver/Pari-Collins · w/ Leander Lazaro · model expected 78% of points2025-04-26 PPA · 9-11 · vs Kim/Wild · w/ Leander Lazaro · model expected 57% of points2025-04-26 PPA · 10-12 (OT) · vs Kim/Wild · w/ Leander Lazaro · model expected 57% of points2025-04-26 PPA · 11-1 · vs Miyoshi/Jr · w/ Leander Lazaro · model expected 69% of points2025-04-26 PPA · 11-5 · vs Miyoshi/Jr · w/ Leander Lazaro · model expected 69% of points2025-07-04 PPA · 11-3 · vs Hatakeyama/Fujiwara · w/ Nicola Schoeman · model expected 74% of points2025-07-04 PPA · 11-9 · vs Hatakeyama/Fujiwara · w/ Nicola Schoeman · model expected 74% of points2025-07-04 PPA · 11-5 · vs Wall/Dikosavljevic · w/ Nicola Schoeman · model expected 56% of points2025-07-04 PPA · 11-4 · vs Wall/Dikosavljevic · w/ Nicola Schoeman · model expected 56% of points2025-07-05 PPA · 11-1 · vs Bhatia/Wong · w/ Harsh Mehta · model expected 76% of points2025-07-05 PPA · 11-4 · vs Bhatia/Wong · w/ Harsh Mehta · model expected 76% of points2025-07-05 PPA · 11-3 · vs Trinh/Ly · w/ Harsh Mehta · model expected 64% of points2025-07-05 PPA · 11-7 · vs Trinh/Ly · w/ Harsh Mehta · model expected 64% of points2025-07-06 PPA · 8-11 · vs Miyoshi/Pascoe · w/ Harsh Mehta · model expected 68% of points2025-07-06 PPA · 11-2 · vs Miyoshi/Pascoe · w/ Harsh Mehta · model expected 68% of points2025-07-06 PPA · 11-1 · vs Miyoshi/Pascoe · w/ Harsh Mehta · model expected 68% of points2025-07-06 PPA · 7-11 · vs Đức/Long · w/ Nicola Schoeman · model expected 56% of points2025-07-06 PPA · 11-1 · vs Đức/Long · w/ Nicola Schoeman · model expected 56% of points2025-07-06 PPA · 13-11 (OT) · vs Đức/Long · w/ Nicola Schoeman · model expected 56% of points2025-07-06 PPA · 11-3 · vs Grabovic/Hart · w/ Nicola Schoeman · model expected 66% of points2025-07-06 PPA · 11-4 · vs Grabovic/Hart · w/ Nicola Schoeman · model expected 66% of points2025-07-06 PPA · 11-3 · vs Grabovic/Wall · w/ Harsh Mehta · model expected 63% of points2025-07-06 PPA · 11-6 · vs Grabovic/Wall · w/ Harsh Mehta · model expected 63% of points2025-09-05 PPA · 11-1 · vs Schoeman/Pascoe · w/ Xiao Yi Wang-Beckvall · model expected 59% of points2025-09-05 PPA · 11-3 · vs Schoeman/Pascoe · w/ Xiao Yi Wang-Beckvall · model expected 59% of points2025-09-05 PPA · 11-1 · vs Hart/Wall · w/ Xiao Yi Wang-Beckvall · model expected 59% of points2025-09-05 PPA · 11-6 · vs Hart/Wall · w/ Xiao Yi Wang-Beckvall · model expected 59% of points2025-09-06 PPA · 11-6 · vs Haas/Mehta · w/ Xiao Yi Wang-Beckvall · model expected 49% of points2025-09-06 PPA · 7-11 · vs Haas/Mehta · w/ Xiao Yi Wang-Beckvall · model expected 49% of points2025-09-06 PPA · 6-11 · vs Haas/Mehta · w/ Xiao Yi Wang-Beckvall · model expected 49% of points2025-09-06 PPA · 4-11 · vs Ly/Trinh · w/ Tejas Mahajan · model expected 44% of points2025-09-06 PPA · 8-11 · vs Ly/Trinh · w/ Tejas Mahajan · model expected 44% of points2025-09-07 PPA · 11-3 · vs Truong/Truong · w/ Xiao Yi Wang-Beckvall · model expected 44% of points2025-09-07 PPA · 5-11 · vs Truong/Truong · w/ Xiao Yi Wang-Beckvall · model expected 44% of points2025-09-07 PPA · 4-11 · vs Truong/Truong · w/ Xiao Yi Wang-Beckvall · model expected 44% of points2025-09-25 PPA · 11-1 · vs Isqandar/Shen · w/ Robert Nunnery · model expected 87% of points2025-09-25 PPA · 11-2 · vs Isqandar/Shen · w/ Robert Nunnery · model expected 87% of points2025-09-25 PPA · 11-4 · vs Hargreaves/Taylor · w/ Robert Nunnery · model expected 71% of points2025-09-25 PPA · 11-2 · vs Hargreaves/Taylor · w/ Robert Nunnery · model expected 71% of points2025-09-25 PPA · 11-7 · vs Tauber/Dawson · w/ Xiao Yi Wang-Beckvall · model expected 53% of points2025-09-25 PPA · 4-11 · vs Tauber/Dawson · w/ Xiao Yi Wang-Beckvall · model expected 53% of points2025-09-25 PPA · 8-11 · vs Tauber/Dawson · w/ Xiao Yi Wang-Beckvall · model expected 53% of points2025-09-26 PPA · 11-9 · vs Johns/Alshon · w/ Robert Nunnery · model expected 33% of points2025-09-26 PPA · 1-11 · vs Johns/Alshon · w/ Robert Nunnery · model expected 33% of points2025-09-26 PPA · 4-11 · vs Johns/Alshon · w/ Robert Nunnery · model expected 33% of points2025-10-01 PPA · 6-11 · vs Dawson/Tauber · w/ Sophia Phuong Anh Tran · model expected 46% of points2025-10-01 PPA · 11-9 · vs Dawson/Tauber · w/ Sophia Phuong Anh Tran · model expected 46% of points2025-10-01 PPA · 3-11 · vs Dawson/Tauber · w/ Sophia Phuong Anh Tran · model expected 46% of points2025-10-01 PPA · 11-13 (OT) · vs Trinh/Ly · w/ Harsh Mehta · model expected 64% of points2025-10-01 PPA · 11-3 · vs Trinh/Ly · w/ Harsh Mehta · model expected 64% of points2025-10-01 PPA · 11-7 · vs Trinh/Ly · w/ Harsh Mehta · model expected 64% of points2025-10-02 PPA · 7-11 · vs Kim/Wong · w/ Harsh Mehta · model expected 61% of points2025-10-02 PPA · 11-3 · vs Kim/Wong · w/ Harsh Mehta · model expected 61% of points2025-10-02 PPA · 11-5 · vs Kim/Wong · w/ Harsh Mehta · model expected 61% of points2025-10-03 PPA · 3-11 · vs McGuffin/Oncins · w/ Harsh Mehta · model expected 47% of points2025-10-03 PPA · 8-11 · vs McGuffin/Oncins · w/ Harsh Mehta · model expected 47% of points2025-10-04 PPA · 9-11 · vs Johns/Bar · w/ Harsh Mehta · model expected 43% of points2025-10-04 PPA · 11-9 · vs Johns/Bar · w/ Harsh Mehta · model expected 43% of points2025-10-04 PPA · 9-11 · vs Johns/Bar · w/ Harsh Mehta · model expected 43% of points0%25%50%75%100%2025winlossmodel expectationshare of points

Splits

yeartourW–L win%avg score
2025PPA40–2462%9.2–6.9
4–6
deciding games (PPA winner-take-all)
2–2
overtime games (past the target)
28
blowout wins (opponents ≤5)
11
longest win streak
-1
current streak (+W / −L)

Singles

+2.8 (+1.0…+4.3)
pts vs avg active men’s singles player (90%)
rated
35 pro singles games
21–14
singles record · last 2025-10

Full singles ratings →

Partners

Chemistry = pair effect beyond the two players' values, in points per game; almost everything here is honest noise — no pair in the sport clears statistical significance (why).

partnergames W–Lpoint sharechem (pts)
Harsh Mehta2013–760%-0.01 ±0.51 (noise)
Xiao Yi Wang-Beckvall137–654%+0.11 ±0.50 (noise)
Nicola Schoeman98–166%+0.11 ±0.53 (noise)
Robert Nunnery75–260%+0.05 ±0.50 (noise)
Leander Lazaro64–265%+0.02 ±0.50 (noise)
Vrushali Thakare42–243%-0.05 ±0.53 (noise)
Sophia Phuong Anh Tran31–239%-0.04 ±0.50 (noise)
Tejas Mahajan20–235%-0.05 ±0.51 (noise)

Recent games

datetourpartner opponentsscorevs exp
2025-10-04PPA · mensHarsh MehtaJohns/Bar9-11+2%
2025-10-04PPA · mensHarsh MehtaJohns/Bar11-9+12%
2025-10-04PPA · mensHarsh MehtaJohns/Bar9-11+2%
2025-10-03PPA · mensHarsh MehtaMcGuffin/Oncins8-11-5%
2025-10-03PPA · mensHarsh MehtaMcGuffin/Oncins3-11-25%
2025-10-02PPA · mensHarsh MehtaKim/Wong11-5+8%
2025-10-02PPA · mensHarsh MehtaKim/Wong11-3+18%
2025-10-02PPA · mensHarsh MehtaKim/Wong7-11-22%
2025-10-01PPA · mensHarsh MehtaTrinh/Ly11-7-3%
2025-10-01PPA · mensHarsh MehtaTrinh/Ly11-3+15%
2025-10-01PPA · mensHarsh MehtaTrinh/Ly11-13 OT-18%
2025-10-01PPA · mixedSophia Phuong Anh TranDawson/Tauber3-11-25%

Put Vanshik in the simulator →