Andrew Anh Pham M
mens 32–29 · mixed 0–6
+0.3 (-3.0…+2.7)
pts vs avg pairing (90% interval)
—
of 286 active men (within gender only; no 2026 games)
32–35
career record · 48% 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 · +1.8 pts (90% band -0.2 to +3.5) 2024-02 · +1.8 pts (90% band -0.1 to +3.5) 2024-03 · +1.8 pts (90% band +0.0 to +3.5) 2024-04 · +1.8 pts (90% band +0.0 to +3.4) 2024-05 · +1.8 pts (90% band +0.0 to +3.4) 2024-06 · +1.7 pts (90% band -0.1 to +3.3) 2024-07 · +1.6 pts (90% band -0.2 to +3.3) 2024-08 · +1.5 pts (90% band -0.4 to +3.2) 2024-09 · +1.5 pts (90% band -0.4 to +3.1) 2024-10 · +1.5 pts (90% band -0.4 to +3.1) 2024-11 · +1.4 pts (90% band -0.6 to +3.0) 2024-12 · +1.3 pts (90% band -0.8 to +2.9) 2025-01 · +1.2 pts (90% band -0.9 to +2.8) 2025-02 · +1.1 pts (90% band -1.0 to +2.7) 2025-03 · +1.0 pts (90% band -1.2 to +2.6) 2025-04 · +0.9 pts (90% band -1.3 to +2.6) 2025-05 · +0.8 pts (90% band -1.4 to +2.5) 2025-06 · +0.7 pts (90% band -1.6 to +2.4) 2025-07 · +0.6 pts (90% band -1.7 to +2.3) 2025-08 · +0.5 pts (90% band -1.9 to +2.2) 2025-09 · +0.4 pts (90% band -2.0 to +2.2) 2025-10 · +0.4 pts (90% band -2.1 to +2.2) 2025-11 · +0.3 pts (90% band -2.2 to +2.2) 2025-12 · +0.3 pts (90% band -2.3 to +2.2) 2026-01 · +0.3 pts (90% band -2.4 to +2.3) 2026-02 · +0.3 pts (90% band -2.5 to +2.3) 2026-03 · +0.3 pts (90% band -2.6 to +2.4) 2026-04 · +0.3 pts (90% band -2.7 to +2.4) 2026-05 · +0.3 pts (90% band -2.7 to +2.5) 2026-06 · +0.3 pts (90% band -2.8 to +2.6) 2026-07 · +0.3 pts (90% band -2.9 to +2.6) 2026-08 · +0.3 pts (90% band -2.9 to +2.6) 2026-09 · +0.3 pts (90% band -3.0 to +2.7) 2026-10 · +0.3 pts (90% band -3.0 to +2.7) -2 +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).
2024-03-06 PPA · 11-0 · vs Brakke/Brakke · w/ Jordan Bridge · model expected 81% of points 2024-03-06 PPA · 11-1 · vs Brakke/Brakke · w/ Jordan Bridge · model expected 81% of points 2024-03-09 PPA · 4-11 · vs Jakovljevic/French · w/ Jordan Bridge · model expected 33% of points 2024-03-09 PPA · 9-11 · vs Jakovljevic/French · w/ Jordan Bridge · model expected 33% of points 2024-03-09 PPA · 15-12 · vs Alda/Boyer · w/ Jordan Bridge · model expected 40% of points 2024-03-09 PPA · 15-10 · vs Rahachou/Russo · w/ Jordan Bridge · model expected 55% of points 2024-03-09 PPA · 9-15 · vs Nguyen/Agoglia · w/ Jordan Bridge · model expected 47% of points 2024-04-10 PPA · 5-11 · vs Hawvermale/Rangel · w/ Jordan Bridge · model expected 58% of points 2024-04-10 PPA · 7-11 · vs Hawvermale/Rangel · w/ Jordan Bridge · model expected 58% of points 2024-04-10 PPA · 11-7 · vs Howard/Martin · w/ Jordan Bridge · model expected 63% of points 2024-04-10 PPA · 11-3 · vs Howard/Martin · w/ Jordan Bridge · model expected 63% of points 2024-04-17 PPA · 11-2 · vs Loock/Derry · w/ Jordan Bridge · model expected 57% of points 2024-04-17 PPA · 11-7 · vs Loock/Derry · w/ Jordan Bridge · model expected 57% of points 2024-04-17 PPA · 11-6 · vs Sahid/Zibas · w/ Jordan Bridge · model expected 58% of points 2024-04-17 PPA · 13-11 (OT) · vs Sahid/Zibas · w/ Jordan Bridge · model expected 58% of points 2024-04-20 PPA · 2-11 · vs Scarpa/Barrientos · w/ Jordan Bridge · model expected 28% of points 2024-04-20 PPA · 3-11 · vs Scarpa/Barrientos · w/ Jordan Bridge · model expected 28% of points 2024-04-24 PPA · 11-13 (OT) · vs Fisher/Vilchez · w/ Jordan Bridge · model expected 44% of points 2024-04-24 PPA · 9-11 · vs Fisher/Vilchez · w/ Jordan Bridge · model expected 44% of points 2024-04-24 PPA · 11-1 · vs Wilburn/Brooks · w/ Jordan Bridge · model expected 60% of points 2024-04-24 PPA · 11-7 · vs Wilburn/Brooks · w/ Jordan Bridge · model expected 60% of points 2024-05-13 PPA · 15-1 · vs Giannelli/Solana · w/ Matthew Mead · model expected 47% of points 2024-05-13 PPA · 15-10 · vs Lee/Rubinger · w/ Matthew Mead · model expected 58% of points 2024-05-13 PPA · 13-15 · vs Nani/Nunez · w/ Matthew Mead · model expected 44% of points 2024-06-05 PPA · 11-5 · vs Benally/Gard · w/ Jordan Bridge · model expected 65% of points 2024-06-05 PPA · 11-3 · vs Benally/Gard · w/ Jordan Bridge · model expected 65% of points 2024-06-06 PPA · 5-11 · vs Boydston/Schwendiman · w/ Jordan Bridge · model expected 49% of points 2024-06-06 PPA · 11-9 · vs Boydston/Schwendiman · w/ Jordan Bridge · model expected 49% of points 2024-06-06 PPA · 3-11 · vs Boydston/Schwendiman · w/ Jordan Bridge · model expected 49% of points 2024-08-21 PPA · 3-11 · vs Tate/Eaton · w/ Matthew Mead · model expected 51% of points 2024-08-21 PPA · 11-6 · vs Tate/Eaton · w/ Matthew Mead · model expected 51% of points 2024-08-21 PPA · 3-11 · vs Tate/Eaton · w/ Matthew Mead · model expected 51% of points 2024-10-09 PPA · 11-2 · vs Jr./Byun · w/ Kevin Pham · model expected 58% of points 2024-10-09 PPA · 13-11 (OT) · vs Jr./Byun · w/ Kevin Pham · model expected 58% of points 2024-10-09 PPA · 11-9 · vs Stanley/Dang · w/ Kevin Pham · model expected 54% of points 2024-10-09 PPA · 11-9 · vs Stanley/Dang · w/ Kevin Pham · model expected 54% of points 2024-10-10 PPA · 11-9 · vs Wolf/Petterson · w/ Kevin Pham · model expected 47% of points 2024-10-10 PPA · 11-1 · vs Wolf/Petterson · w/ Kevin Pham · model expected 47% of points 2024-10-12 PPA · 5-11 · vs Young/Hovenier · w/ Kevin Pham · model expected 28% of points 2024-10-12 PPA · 5-11 · vs Young/Hovenier · w/ Kevin Pham · model expected 28% of points 2025-07-05 PPA · 8-11 · vs Long/Leung · w/ Kevin Pham · model expected 47% of points 2025-07-05 PPA · 4-11 · vs Long/Leung · w/ Kevin Pham · model expected 47% of points 2025-08-21 PPA · 11-5 · vs Lee/Amattayakul · w/ Han Hyuck Chu · model expected 74% of points 2025-08-21 PPA · 11-3 · vs Lee/Amattayakul · w/ Han Hyuck Chu · model expected 74% of points 2025-08-21 PPA · 4-11 · vs Ramchandani/Bhatia · w/ Han Hyuck Chu · model expected 38% of points 2025-08-21 PPA · 10-12 (OT) · vs Ramchandani/Bhatia · w/ Han Hyuck Chu · model expected 38% of points 2025-08-26 PPA · 1-11 · vs Hendershot/Jacobson · w/ Asako Pastrana · model expected 32% of points 2025-08-26 PPA · 3-11 · vs Hendershot/Jacobson · w/ Asako Pastrana · model expected 32% of points 2025-08-28 PPA · 12-10 (OT) · vs Moore/Shimabukuro · w/ Guangsian Lin · model expected 52% of points 2025-08-28 PPA · 13-11 (OT) · vs Moore/Shimabukuro · w/ Guangsian Lin · model expected 52% of points 2025-08-29 PPA · 5-11 · vs Miyoshi/Stirling · w/ Guangsian Lin · model expected 31% of points 2025-08-29 PPA · 9-11 · vs Miyoshi/Stirling · w/ Guangsian Lin · model expected 31% of points 2025-09-04 PPA · 1-11 · vs Hoàng/Nhật · w/ Makiyah Cormick · model expected 38% of points 2025-09-04 PPA · 7-11 · vs Hoàng/Nhật · w/ Makiyah Cormick · model expected 38% of points 2025-09-30 PPA · 11-3 · vs Hoàng/Nhật · w/ Syed Uzair Sufi · model expected 58% of points 2025-09-30 PPA · 11-2 · vs Hoàng/Nhật · w/ Syed Uzair Sufi · model expected 58% of points 2025-09-30 PPA · 11-6 · vs Huy/T · w/ Syed Uzair Sufi · model expected 50% of points 2025-09-30 PPA · 8-11 · vs Huy/T · w/ Syed Uzair Sufi · model expected 50% of points 2025-09-30 PPA · 11-9 · vs Huy/T · w/ Syed Uzair Sufi · model expected 50% of points 2025-09-30 PPA · 1-11 · vs Leung/Man · w/ Diane H · model expected 32% of points 2025-09-30 PPA · 2-11 · vs Leung/Man · w/ Diane H · model expected 32% of points 2025-10-01 PPA · 6-11 · vs Wong/Thang · w/ Syed Uzair Sufi · model expected 50% of points 2025-10-01 PPA · 10-12 (OT) · vs Wong/Thang · w/ Syed Uzair Sufi · model expected 50% of points 2025-12-03 PPA · 9-11 · vs Hatakeyama/Leung · w/ Ryan Ng · model expected 42% of points 2025-12-03 PPA · 10-12 (OT) · vs Hatakeyama/Leung · w/ Ryan Ng · model expected 42% of points 2025-12-03 PPA · 4-11 · vs Chen/Wang · w/ Kei Sawaki · model expected 48% of points 2025-12-03 PPA · 7-11 · vs Chen/Wang · w/ Kei Sawaki · model expected 48% of points 0% 25% 50% 75% 100% 2024 2025 win loss model expectation share of points
Splits
year tour W–L
win% avg score 2024 PPA 24–16 60% 9.5–8.2 2025 PPA 8–19 30% 7.4–9.7
1–2
deciding games (PPA winner-take-all)
4–4
overtime games (past the target)
13
blowout wins (opponents ≤5)
-8
current streak (+W / −L)
Singles
-4.4 (-5.9…-2.4)
pts vs avg active men’s singles player (90%)
rated
22 pro singles games
10–12
singles record · last 2025-12
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)
Jordan Bridge 26 15–11 53% +0.07 ±0.52 (noise) Kevin Pham 10 6–4 51% +0.09 ±0.50 (noise) Syed Uzair Sufi 7 4–3 56% +0.08 ±0.51 (noise) Matthew Mead 6 3–3 53% +0.05 ±0.52 (noise) Han Hyuck Chu 4 2–2 54% +0.00 ±0.51 (noise) Guangsian Lin 4 2–2 48% +0.06 ±0.51 (noise) Asako Pastrana 2 0–2 15% -0.08 ±0.52 (noise) Makiyah Cormick 2 0–2 27% -0.05 ±0.51 (noise) Diane H 2 0–2 12% -0.09 ±0.51 (noise) Ryan Ng 2 0–2 45% +0.02 ±0.51 (noise) Kei Sawaki 2 0–2 33% -0.08 ±0.49 (noise)
Recent games
date tour partner
opponents score vs exp
2025-12-03 PPA · mixed Kei Sawaki Chen/Wang 7-11 -9% 2025-12-03 PPA · mixed Kei Sawaki Chen/Wang 4-11 -21% 2025-12-03 PPA · mens Ryan Ng Hatakeyama/Leung 10-12 OT +3% 2025-12-03 PPA · mens Ryan Ng Hatakeyama/Leung 9-11 +3% 2025-10-01 PPA · mens Syed Uzair Sufi Wong/Thang 10-12 OT -5% 2025-10-01 PPA · mens Syed Uzair Sufi Wong/Thang 6-11 -15% 2025-09-30 PPA · mixed Diane H Leung/Man 2-11 -16% 2025-09-30 PPA · mixed Diane H Leung/Man 1-11 -23% 2025-09-30 PPA · mens Syed Uzair Sufi Huy/T 11-9 +5% 2025-09-30 PPA · mens Syed Uzair Sufi Huy/T 8-11 -8% 2025-09-30 PPA · mens Syed Uzair Sufi Huy/T 11-6 +14% 2025-09-30 PPA · mens Syed Uzair Sufi Hoàng/Nhật 11-2 +27%
Put Andrew 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 2026-10-14.