David Hall M
mens 24–26 · mixed 6–10
+2.0 (-1.4…+4.6)
pts vs avg pairing (90% interval)
—
of 286 active men (within gender only; no 2026 games)
30–36
career record · 45% 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 · +1.9 pts (90% band +0.4 to +3.3) 2024-02 · +1.9 pts (90% band +0.5 to +3.2) 2024-03 · +1.9 pts (90% band +0.5 to +3.2) 2024-04 · +2.0 pts (90% band +0.6 to +3.3) 2024-05 · +2.0 pts (90% band +0.5 to +3.3) 2024-06 · +2.0 pts (90% band +0.5 to +3.4) 2024-07 · +2.0 pts (90% band +0.5 to +3.4) 2024-08 · +2.1 pts (90% band +0.5 to +3.5) 2024-09 · +2.1 pts (90% band +0.5 to +3.5) 2024-10 · +2.1 pts (90% band +0.4 to +3.6) 2024-11 · +2.1 pts (90% band +0.3 to +3.7) 2024-12 · +2.1 pts (90% band +0.2 to +3.7) 2025-01 · +2.1 pts (90% band +0.2 to +3.8) 2025-02 · +2.1 pts (90% band +0.1 to +3.8) 2025-03 · +2.1 pts (90% band +0.0 to +3.9) 2025-04 · +2.1 pts (90% band -0.1 to +3.9) 2025-05 · +2.1 pts (90% band -0.2 to +4.0) 2025-06 · +2.1 pts (90% band -0.3 to +4.0) 2025-07 · +2.0 pts (90% band -0.4 to +4.1) 2025-08 · +2.1 pts (90% band -0.5 to +4.1) 2025-09 · +2.1 pts (90% band -0.6 to +4.2) 2025-10 · +2.0 pts (90% band -0.6 to +4.2) 2025-11 · +2.1 pts (90% band -0.7 to +4.2) 2025-12 · +2.1 pts (90% band -0.8 to +4.3) 2026-01 · +2.1 pts (90% band -0.9 to +4.3) 2026-02 · +2.1 pts (90% band -0.9 to +4.3) 2026-03 · +2.1 pts (90% band -1.0 to +4.4) 2026-04 · +2.1 pts (90% band -1.0 to +4.4) 2026-05 · +2.1 pts (90% band -1.1 to +4.5) 2026-06 · +2.1 pts (90% band -1.2 to +4.5) 2026-07 · +2.0 pts (90% band -1.2 to +4.5) 2026-08 · +2.0 pts (90% band -1.3 to +4.5) 2026-09 · +2.0 pts (90% band -1.3 to +4.5) 2026-10 · +2.0 pts (90% band -1.4 to +4.6) +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).
2024-01-09 PPA · 7-11 · vs Wazir/Violette · w/ Christopher Williams · model expected 49% of points 2024-01-09 PPA · 12-10 (OT) · vs Wazir/Violette · w/ Christopher Williams · model expected 49% of points 2024-01-09 PPA · 6-11 · vs Wazir/Violette · w/ Christopher Williams · model expected 49% of points 2024-02-02 PPA · 15-2 · vs Burbank/Swisher · w/ Lauren Wong · model expected 72% of points 2024-02-02 PPA · 3-15 · vs Gilbert/Chuang · w/ Lauren Wong · model expected 36% of points 2024-02-03 PPA · 5-15 · vs Joseph/Jamieson · w/ Bryce Larson · model expected 47% of points 2024-02-03 PPA · 11-15 · vs Gonnering/Folden · w/ Lauren Wong · model expected 53% of points 2024-02-03 PPA · 1-11 · vs Diamond/Whittaker · w/ Bryce Larson · model expected 40% of points 2024-02-03 PPA · 11-4 · vs Diamond/Whittaker · w/ Bryce Larson · model expected 40% of points 2024-02-03 PPA · 10-12 (OT) · vs Diamond/Whittaker · w/ Bryce Larson · model expected 40% of points 2024-02-20 PPA · 11-6 · vs Parks/Reason · w/ Clayton Boydston · model expected 48% of points 2024-02-20 PPA · 12-10 (OT) · vs Parks/Reason · w/ Clayton Boydston · model expected 48% of points 2024-02-20 PPA · 11-1 · vs Buha/Ray · w/ Clayton Boydston · model expected 65% of points 2024-02-20 PPA · 11-3 · vs Buha/Ray · w/ Clayton Boydston · model expected 65% of points 2024-02-20 PPA · 11-4 · vs Nakayama/Betts · w/ Clayton Boydston · model expected 61% of points 2024-02-20 PPA · 10-12 (OT) · vs Nakayama/Betts · w/ Clayton Boydston · model expected 61% of points 2024-02-20 PPA · 11-3 · vs Nakayama/Betts · w/ Clayton Boydston · model expected 61% of points 2024-02-21 PPA · 9-11 · vs Ge/Johnson · w/ Clayton Boydston · model expected 34% of points 2024-02-21 PPA · 11-6 · vs Ge/Johnson · w/ Clayton Boydston · model expected 34% of points 2024-02-21 PPA · 2-11 · vs Ge/Johnson · w/ Clayton Boydston · model expected 34% of points 2024-03-09 PPA · 13-15 · vs Campbell/Alhouni · w/ Walter Lau · model expected 50% of points 2024-03-09 PPA · 15-5 · vs Unger/Ross · w/ Walter Lau · model expected 63% of points 2024-03-09 PPA · 11-6 · vs Bies/Jensen · w/ Walter Lau · model expected 60% of points 2024-03-09 PPA · 9-11 · vs Bies/Jensen · w/ Walter Lau · model expected 60% of points 2024-03-09 PPA · 6-11 · vs Bies/Jensen · w/ Walter Lau · model expected 60% of points 2024-03-13 PPA · 11-6 · vs Fry/Moody · w/ Benjamin Grant · model expected 63% of points 2024-03-13 PPA · 11-6 · vs Fry/Moody · w/ Benjamin Grant · model expected 63% of points 2024-03-13 PPA · 4-11 · vs Huynh/Chan · w/ Benjamin Grant · model expected 34% of points 2024-03-13 PPA · 2-11 · vs Huynh/Chan · w/ Benjamin Grant · model expected 34% of points 2024-04-10 PPA · 11-2 · vs Saidhujaeva/Kim · w/ Lauren Wong · model expected 53% of points 2024-04-10 PPA · 8-11 · vs Saidhujaeva/Kim · w/ Lauren Wong · model expected 53% of points 2024-04-10 PPA · 9-11 · vs Saidhujaeva/Kim · w/ Lauren Wong · model expected 53% of points 2024-04-13 PPA · 1-11 · vs Loong/Alshon · w/ Bryce Larson · model expected 25% of points 2024-04-13 PPA · 3-11 · vs Loong/Alshon · w/ Bryce Larson · model expected 25% of points 2024-04-13 PPA · 11-6 · vs Wasson/Violette · w/ Bryce Larson · model expected 52% of points 2024-04-13 PPA · 11-6 · vs Wasson/Violette · w/ Bryce Larson · model expected 52% of points 2024-04-24 PPA · 11-9 · vs Raugust/Jensen · w/ Lauren Wong · model expected 33% of points 2024-04-24 PPA · 2-11 · vs Raugust/Jensen · w/ Lauren Wong · model expected 33% of points 2024-04-24 PPA · 2-11 · vs Raugust/Jensen · w/ Lauren Wong · model expected 33% of points 2024-04-24 PPA · 11-1 · vs Christiansen/Andrews · w/ Lauren Wong · model expected 69% of points 2024-04-24 PPA · 11-3 · vs Christiansen/Andrews · w/ Lauren Wong · model expected 69% of points 2024-04-27 PPA · 12-10 (OT) · vs Andrews/Read · w/ Bryce Larson · model expected 52% of points 2024-04-27 PPA · 9-11 · vs Andrews/Read · w/ Bryce Larson · model expected 52% of points 2024-04-27 PPA · 6-11 · vs Andrews/Read · w/ Bryce Larson · model expected 52% of points 2024-06-05 PPA · 11-7 · vs Hernandez/Guillebeaux · w/ Lauren Wong · model expected 49% of points 2024-06-05 PPA · 10-12 (OT) · vs Hernandez/Guillebeaux · w/ Lauren Wong · model expected 49% of points 2024-06-05 PPA · 5-11 · vs Hernandez/Guillebeaux · w/ Lauren Wong · model expected 49% of points 2024-06-08 PPA · 6-11 · vs Cassidy/Fu · w/ Bryce Larson · model expected 35% of points 2024-06-08 PPA · 4-11 · vs Cassidy/Fu · w/ Bryce Larson · model expected 35% of points 2024-06-24 PPA · 8-11 · vs Acob/Seguso · w/ Clayton Boydston · model expected 55% of points 2024-06-24 PPA · 11-6 · vs Acob/Seguso · w/ Clayton Boydston · model expected 55% of points 2024-06-24 PPA · 11-6 · vs Acob/Seguso · w/ Clayton Boydston · model expected 55% of points 2024-06-25 PPA · 11-6 · vs Armstrong/Lau · w/ Clayton Boydston · model expected 52% of points 2024-06-25 PPA · 11-8 · vs Armstrong/Lau · w/ Clayton Boydston · model expected 52% of points 2024-06-25 PPA · 9-11 · vs Grant/Mackinnon · w/ Clayton Boydston · model expected 48% of points 2024-06-25 PPA · 5-11 · vs Grant/Mackinnon · w/ Clayton Boydston · model expected 48% of points 2024-08-21 PPA · 3-11 · vs Igleski/Petterson · w/ Lauren Wong · model expected 40% of points 2024-08-21 PPA · 10-12 (OT) · vs Igleski/Petterson · w/ Lauren Wong · model expected 40% of points 2024-08-21 PPA · 11-5 · vs Potes/Krittayaweth · w/ Ethan Violette · model expected 64% of points 2024-08-21 PPA · 11-1 · vs Potes/Krittayaweth · w/ Ethan Violette · model expected 64% of points 2024-08-21 PPA · 2-11 · vs Freeman/Fu · w/ Ethan Violette · model expected 30% of points 2024-08-21 PPA · 7-11 · vs Freeman/Fu · w/ Ethan Violette · model expected 30% of points 2024-08-27 PPA · 11-2 · vs Lam/Wong · w/ Thatcher Schwendiman · model expected 54% of points 2024-08-27 PPA · 11-4 · vs Lam/Wong · w/ Thatcher Schwendiman · model expected 54% of points 2024-08-27 PPA · 4-11 · vs Rosenbach/Duffin · w/ Thatcher Schwendiman · model expected 46% of points 2024-08-27 PPA · 12-14 (OT) · vs Rosenbach/Duffin · w/ Thatcher Schwendiman · model expected 46% of points 0% 25% 50% 75% 100% 2024 win loss model expectation share of points
Splits
year tour W–L
win% avg score 2024 PPA 30–36 45% 8.5–8.7
2–8
deciding games (PPA winner-take-all)
3–5
overtime games (past the target)
12
blowout wins (opponents ≤5)
-2
current streak (+W / −L)
Singles
-2.6 (-6.8…+3.3)
pts vs avg active men’s singles player (90%)
projected
no singles record — projected from doubles, selection-corrected
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)
Clayton Boydston 17 11–6 57% +0.16 ±0.53 (noise) Lauren Wong 16 6–10 48% -0.08 ±0.50 (noise) Bryce Larson 13 4–9 41% -0.06 ±0.49 (noise) Walter Lau 5 2–3 53% -0.05 ±0.50 (noise) Benjamin Grant 4 2–2 45% -0.08 ±0.52 (noise) Ethan Violette 4 2–2 53% +0.06 ±0.48 (noise) Thatcher Schwendiman 4 2–2 55% +0.06 ±0.50 (noise) Christopher Williams 3 1–2 44% -0.01 ±0.52 (noise)
Recent games
date tour partner
opponents score vs exp
2024-08-27 PPA · mens Thatcher Schwendiman Rosenbach/Duffin 12-14 OT +0% 2024-08-27 PPA · mens Thatcher Schwendiman Rosenbach/Duffin 4-11 -19% 2024-08-27 PPA · mens Thatcher Schwendiman Lam/Wong 11-4 +20% 2024-08-27 PPA · mens Thatcher Schwendiman Lam/Wong 11-2 +31% 2024-08-21 PPA · mens Ethan Violette Freeman/Fu 7-11 +9% 2024-08-21 PPA · mens Ethan Violette Freeman/Fu 2-11 -14% 2024-08-21 PPA · mens Ethan Violette Potes/Krittayaweth 11-1 +27% 2024-08-21 PPA · mens Ethan Violette Potes/Krittayaweth 11-5 +4% 2024-08-21 PPA · mixed Lauren Wong Igleski/Petterson 10-12 OT +5% 2024-08-21 PPA · mixed Lauren Wong Igleski/Petterson 3-11 -19% 2024-06-25 PPA · mens Clayton Boydston Grant/Mackinnon 5-11 -17% 2024-06-25 PPA · mens Clayton Boydston Grant/Mackinnon 9-11 -3%
Put David 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.