Amrik Donkena M
mens 14–15 · mixed 18–15
+2.7 (+0.0…+4.9)
pts vs avg pairing (90% interval)
#172
of 286 active men (within gender only)
32–30
career record · 52% wins, 50% of points
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 · +2.6 pts (90% band +0.8 to +4.2) 2024-02 · +2.7 pts (90% band +1.0 to +4.1) 2024-03 · +2.7 pts (90% band +1.0 to +4.1) 2024-04 · +2.7 pts (90% band +1.1 to +4.1) 2024-05 · +2.7 pts (90% band +1.1 to +4.1) 2024-06 · +2.7 pts (90% band +1.1 to +4.2) 2024-07 · +2.8 pts (90% band +1.1 to +4.2) 2024-08 · +2.8 pts (90% band +1.2 to +4.2) 2024-09 · +2.8 pts (90% band +1.1 to +4.2) 2024-10 · +2.8 pts (90% band +1.1 to +4.2) 2024-11 · +2.8 pts (90% band +1.1 to +4.2) 2024-12 · +2.8 pts (90% band +1.0 to +4.2) 2025-01 · +2.8 pts (90% band +1.0 to +4.3) 2025-02 · +2.7 pts (90% band +1.0 to +4.3) 2025-03 · +2.7 pts (90% band +0.9 to +4.3) 2025-04 · +2.7 pts (90% band +0.9 to +4.3) 2025-05 · +2.7 pts (90% band +0.8 to +4.4) 2025-06 · +2.7 pts (90% band +0.8 to +4.4) 2025-07 · +2.7 pts (90% band +0.8 to +4.4) 2025-08 · +2.7 pts (90% band +0.7 to +4.4) 2025-09 · +2.7 pts (90% band +0.6 to +4.5) 2025-10 · +2.7 pts (90% band +0.6 to +4.5) 2025-11 · +2.7 pts (90% band +0.5 to +4.5) 2025-12 · +2.7 pts (90% band +0.5 to +4.6) 2026-01 · +2.7 pts (90% band +0.4 to +4.6) 2026-02 · +2.7 pts (90% band +0.4 to +4.6) 2026-03 · +2.7 pts (90% band +0.4 to +4.7) 2026-04 · +2.7 pts (90% band +0.3 to +4.7) 2026-05 · +2.7 pts (90% band +0.3 to +4.7) 2026-06 · +2.7 pts (90% band +0.2 to +4.7) 2026-07 · +2.7 pts (90% band +0.1 to +4.8) 2026-08 · +2.7 pts (90% band +0.1 to +4.8) 2026-09 · +2.7 pts (90% band +0.1 to +4.8) 2026-10 · +2.7 pts (90% band +0.0 to +4.9) +0 +2 +4 2024 2025 2026 pts 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).
2024-03-08 PPA · 11-7 · vs Gomez/Donkena · w/ Niltooli Wilkins · model expected 55% of points 2024-03-08 PPA · 11-7 · vs Gomez/Donkena · w/ Niltooli Wilkins · model expected 55% of points 2024-03-08 PPA · 11-15 · vs Miles/Taylor · w/ Niltooli Wilkins · model expected 35% of points 2024-03-08 PPA · 15-12 · vs Hawk/Peterson · w/ Niltooli Wilkins · model expected 50% of points 2024-03-08 PPA · 0-11 · vs Walker/Deakin · w/ Niltooli Wilkins · model expected 32% of points 2024-03-08 PPA · 4-11 · vs Walker/Deakin · w/ Niltooli Wilkins · model expected 32% of points 2024-03-09 PPA · 11-4 · vs Alda/Boyer · w/ Logan Peterson · model expected 48% of points 2024-03-09 PPA · 11-8 · vs Alda/Boyer · w/ Logan Peterson · model expected 48% of points 2024-03-09 PPA · 4-11 · vs Smith/Devilliers · w/ Logan Peterson · model expected 33% of points 2024-03-09 PPA · 5-11 · vs Smith/Devilliers · w/ Logan Peterson · model expected 33% of points 2024-04-24 PPA · 11-5 · vs Libo/Libo · w/ Allison Chuang · model expected 69% of points 2024-04-24 PPA · 11-6 · vs Libo/Libo · w/ Allison Chuang · model expected 69% of points 2024-04-24 PPA · 11-8 · vs Goldberg/Goldberg · w/ Allison Chuang · model expected 50% of points 2024-04-24 PPA · 5-11 · vs Goldberg/Goldberg · w/ Allison Chuang · model expected 50% of points 2024-04-24 PPA · 11-9 · vs Goldberg/Goldberg · w/ Allison Chuang · model expected 50% of points 2024-04-24 PPA · 11-9 · vs Ayotte/Revuelta · w/ Allison Chuang · model expected 51% of points 2024-04-24 PPA · 12-10 (OT) · vs Ayotte/Revuelta · w/ Allison Chuang · model expected 51% of points 2024-04-26 PPA · 1-11 · vs Brascia/Shick · w/ Allison Chuang · model expected 31% of points 2024-04-26 PPA · 5-11 · vs Brascia/Shick · w/ Allison Chuang · model expected 31% of points 2024-04-27 PPA · 3-11 · vs Staksrud/Tellez · w/ Tavon Morrow · model expected 32% of points 2024-04-27 PPA · 3-11 · vs Staksrud/Tellez · w/ Tavon Morrow · model expected 32% of points 2024-04-27 PPA · 12-10 (OT) · vs Bies/Cassidy · w/ Tavon Morrow · model expected 66% of points 2024-04-27 PPA · 11-1 · vs Bies/Cassidy · w/ Tavon Morrow · model expected 66% of points 2024-08-14 PPA · 4-11 · vs Schmidt/Koller · w/ Sydney Donkena · model expected 35% of points 2024-08-14 PPA · 13-11 (OT) · vs Schmidt/Koller · w/ Sydney Donkena · model expected 35% of points 2024-08-14 PPA · 11-7 · vs Schmidt/Koller · w/ Sydney Donkena · model expected 35% of points 2024-08-14 PPA · 5-11 · vs Yang/Laidlaw · w/ Tavon Morrow · model expected 45% of points 2024-08-14 PPA · 11-9 · vs Yang/Laidlaw · w/ Tavon Morrow · model expected 45% of points 2024-08-14 PPA · 9-11 · vs Yang/Laidlaw · w/ Tavon Morrow · model expected 45% of points 2024-08-14 PPA · 11-4 · vs Fletcher/Fletcher · w/ Tavon Morrow · model expected 72% of points 2024-08-14 PPA · 11-2 · vs Fletcher/Fletcher · w/ Tavon Morrow · model expected 72% of points 2024-08-14 PPA · 9-11 · vs Haymore/Mediratta · w/ Sydney Donkena · model expected 52% of points 2024-08-14 PPA · 12-10 (OT) · vs Haymore/Mediratta · w/ Sydney Donkena · model expected 52% of points 2024-08-14 PPA · 11-5 · vs Haymore/Mediratta · w/ Sydney Donkena · model expected 52% of points 2024-08-16 PPA · 7-11 · vs Walker/Deakin · w/ Sydney Donkena · model expected 36% of points 2024-08-16 PPA · 4-11 · vs Walker/Deakin · w/ Sydney Donkena · model expected 36% of points 2024-11-13 PPA · 4-11 · vs Rodriguez/Torresin · w/ Sydney Donkena · model expected 37% of points 2024-11-13 PPA · 11-13 (OT) · vs Rodriguez/Torresin · w/ Sydney Donkena · model expected 37% of points 2024-11-13 PPA · 11-4 · vs Protzek/Gauthier · w/ Sammy Lee · model expected 66% of points 2024-11-13 PPA · 10-12 (OT) · vs Protzek/Gauthier · w/ Sammy Lee · model expected 66% of points 2024-11-13 PPA · 11-5 · vs Protzek/Gauthier · w/ Sammy Lee · model expected 66% of points 2024-11-13 PPA · 11-1 · vs Musleh/Schapiro · w/ Sydney Donkena · model expected 76% of points 2024-11-13 PPA · 11-0 · vs Musleh/Schapiro · w/ Sydney Donkena · model expected 76% of points 2024-11-13 PPA · 11-7 · vs Khalid/Walker · w/ Sammy Lee · model expected 72% of points 2024-11-13 PPA · 11-2 · vs Khalid/Walker · w/ Sammy Lee · model expected 72% of points 2024-11-16 PPA · 8-11 · vs Hovenier/Arnold · w/ Sammy Lee · model expected 40% of points 2024-11-16 PPA · 4-11 · vs Hovenier/Arnold · w/ Sammy Lee · model expected 40% of points 2025-07-26 PPA · 15-12 · vs Khalid/Berryman · w/ John Macauley · model expected 42% of points 2025-07-26 PPA · 5-11 · vs Dussault/Horricks · w/ John Macauley · model expected 37% of points 2025-07-26 PPA · 6-11 · vs Dussault/Horricks · w/ John Macauley · model expected 37% of points 2025-07-26 PPA · 8-15 · vs Mogle/Romano · w/ John Macauley · model expected 34% of points 2025-07-27 PPA · 11-1 · vs Cabieses/Conde · w/ Sydney Donkena · model expected 72% of points 2025-07-27 PPA · 11-6 · vs Cabieses/Conde · w/ Sydney Donkena · model expected 72% of points 2025-07-27 PPA · 3-11 · vs Voelker/Labat · w/ Sydney Donkena · model expected 47% of points 2025-07-27 PPA · 12-10 (OT) · vs Voelker/Labat · w/ Sydney Donkena · model expected 47% of points 2025-07-27 PPA · 6-11 · vs Voelker/Labat · w/ Sydney Donkena · model expected 47% of points 2025-07-27 PPA · 10-15 · vs Rau/Wasson · w/ Sydney Donkena · model expected 48% of points 2026-01-19 PPA · 11-8 · vs Haugdahl/Will · w/ John Macauley · model expected 52% of points 2026-01-19 PPA · 6-11 · vs Haugdahl/Will · w/ John Macauley · model expected 52% of points 2026-01-19 PPA · 11-6 · vs Haugdahl/Will · w/ John Macauley · model expected 52% of points 2026-01-19 PPA · 7-11 · vs Kim/Miron · w/ John Macauley · model expected 37% of points 2026-01-19 PPA · 8-11 · vs Kim/Miron · w/ John Macauley · model expected 37% of points 0% 25% 50% 75% 100% 2024 2025 2026 win loss model expectation share of points
Splits
year tour W–L
win% avg score 2024 PPA 26–21 55% 8.7–8.5 2025 PPA 4–6 40% 8.7–10.3 2026 PPA 2–3 40% 8.6–9.4
5–2
deciding games (PPA winner-take-all)
5–2
overtime games (past the target)
12
blowout wins (opponents ≤5)
-2
current streak (+W / −L)
Singles
+1.2 (-2.0…+4.2)
pts vs avg active men’s singles player (90%)
blend
thin record (7 g, 0 DB rallies) + doubles-informed prior
3–4
singles record · last 2025-07
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 ).
partner games
W–L point share chem (pts)
Sydney Donkena 18 9–9 51% +0.08 ±0.51 (noise) Allison Chuang 9 6–3 49% +0.00 ±0.50 (noise) Tavon Morrow 9 5–4 52% +0.00 ±0.49 (noise) John Macauley 9 3–6 45% +0.05 ±0.52 (noise) Sammy Lee 7 4–3 56% -0.07 ±0.53 (noise) Niltooli Wilkins 6 3–3 45% -0.03 ±0.51 (noise) Logan Peterson 4 2–2 48% +0.06 ±0.56 (noise)
Recent games
date tour partner
opponents score vs exp
2026-01-19 PPA · mens John Macauley Kim/Miron 8-11 +5% 2026-01-19 PPA · mens John Macauley Kim/Miron 7-11 +2% 2026-01-19 PPA · mens John Macauley Haugdahl/Will 11-6 +12% 2026-01-19 PPA · mens John Macauley Haugdahl/Will 6-11 -17% 2026-01-19 PPA · mens John Macauley Haugdahl/Will 11-8 +5% 2025-07-27 PPA · mixed Sydney Donkena Rau/Wasson 10-15 -8% 2025-07-27 PPA · mixed Sydney Donkena Voelker/Labat 6-11 -12% 2025-07-27 PPA · mixed Sydney Donkena Voelker/Labat 12-10 OT+7% 2025-07-27 PPA · mixed Sydney Donkena Voelker/Labat 3-11 -26% 2025-07-27 PPA · mixed Sydney Donkena Cabieses/Conde 11-6 -7% 2025-07-27 PPA · mixed Sydney Donkena Cabieses/Conde 11-1 +20% 2025-07-26 PPA · mens John Macauley Mogle/Romano 8-15 +1%
Put Amrik in the simulator →
Unofficial fan analytics based on public results data —
not affiliated with any tour. Every number that has an error bar shows it;
cross-gender rankings are never published as fact (why ).
Model: Bayesian, 36k games, validated 77.4% winner accuracy on 884 unseen
games · data through 2026-10-15.