Amanda Anisimova vs Jessica Pegula

hard wta masters_1000 best of 3 tennis_wta_cincinnati_open · commence 2026-08-20 17:00:00+00:00 · completed winner: b

P(Amanda Anisimova) = 0.000  |  P(Jessica Pegula) = 1.000
live composite (last tick)

Sharp anchor — Pinnacle pre-match

Pinnacle P(Amanda Anisimova) 0.446
Pinnacle P(Jessica Pegula) 0.554
n_books observed 1 live

Sharp anchor sourced via OddsAPI event_id lookup → Pinnacle no-vig computation. (Field-id mismatch fix shipped 2026-05-02 — pinnacle capture is now the source of truth for pre-match anchoring.)

Surface ELO radar

Surface Amanda AnisimovaJessica Pegula Diff (a−b)
hard 1500 (0) 1500 (0) +0
clay 1500 (0) 1500 (0) +0
grass 1500 (0) 1500 (0) +0
indoor 1500 (0) 1500 (0) +0
overall 1500 (0) 1500 (0) +0

Per-surface ELO from 24h-cached global rater. Number-in-parens = matches contributing to that rating.

Style matchup (display-only · v0 priors · NOT in headline)

Player Archetype n matches Hold % Aces / match
Amanda Anisimova aggressive_baseliner 78 0.681 2.6
Jessica Pegula aggressive_baseliner 189 0.726 2.6

Matchup adjustment: +0.00pp toward Jessica Pegula on hard.

v0 sharp priors per tennis-betting-expert lock 2026-05-02. Display-only — NOT blended into the headline composite probability above. Promotion to wired-in pending: N≥200 archetype-tagged settled matches with closing-line capture + Brier delta ≥+0.005 vs unwired baseline + no 5pp-bucket regression. Re-evaluate post-Roland Garros (2026-06-09).

Composite adjustments (live)

AdjustmentAmanda AnisimovaJessica PegulaNet
Match fatigue (14d load) -3.00pp (load 7.0) -3.00pp (load 6.0) +0.00pp

Live adjustments flowed into the headline composite probability above. Surface transition gated to documented poor-history (>15% win-rate drop in first 3 surface-change matches). Fatigue: 14-day load weighted by best-of (BO5=2.0, BO3=1.0), capped ±3pp. Tennis-betting-expert RG R1 audit 2026-05-24.

Composite signal weights

SignalWeight
surface_elo 0.35
recent_form 0.18
h2h_matrix 0.16
surface_transition 0.11
match_simulator 0.10
tournament_fatigue 0.10
Sum 1.00

Locked weights per tennis-betting-expert composite design 2026-04-26. Signals flagged low_data are excluded; remaining weights renormalize proportionally. h2h overweighting noted in audit; will be revisited with a dedicated calibration pass after Roland Garros.

Live trajectory (200 ticks)

Time Set Game Score Server P(Amanda Anisimova) P(Jessica Pegula) Exp games Source
19:10:14 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', '40']} b 0.504 0.496 37.7 feed
19:10:45 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', '40']} b 0.492 0.508 37.8 feed
19:11:16 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', 'A']} b 0.512 0.488 37.8 feed
19:11:46 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', '40']} b 0.513 0.487 37.8 feed
19:12:17 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', 'A']} b 0.487 0.513 37.7 feed
19:12:47 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', 'A']} b 0.506 0.494 37.8 feed
19:13:18 3 10 {'sets': [[6, 0], [0, 6]], 'current_set_games': [5, 5], 'sets_won_synthetic': True, 'point_score': ['40', 'A']} b 0.493 0.507 37.8 feed
19:13:48 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['0', '0']} b 0.493 0.506 38.7 feed
19:14:19 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['0', '0']} b 0.501 0.499 38.8 feed
19:14:49 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['0', '0']} b 0.514 0.486 38.8 feed
19:15:20 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['15', '0']} b 0.502 0.498 38.7 feed
19:15:50 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['30', '0']} b 0.510 0.490 38.8 feed
19:16:21 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['40', '0']} b 0.505 0.495 38.7 feed
19:16:51 3 11 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 5], 'sets_won_synthetic': True, 'point_score': ['40', '15']} b 0.484 0.516 38.8 feed
19:17:22 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['0', '0']} b 0.496 0.504 39.8 feed
19:17:52 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['0', '0']} b 0.497 0.503 39.8 feed
19:18:23 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['1', '0']} b 0.492 0.508 39.7 feed
19:18:53 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['1', '1']} b 0.483 0.516 39.9 feed
19:19:24 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['2', '1']} b 0.494 0.506 39.8 feed
19:19:55 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['2', '2']} b 0.473 0.526 39.8 feed
19:20:25 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['2', '3']} b 0.498 0.502 39.7 feed
19:20:56 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['2', '3']} b 0.491 0.508 39.7 feed
19:21:26 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['3', '3']} b 0.494 0.506 39.8 feed
19:21:57 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['3', '3']} b 0.502 0.498 39.8 feed
19:22:27 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['3', '3']} b 0.484 0.516 39.8 feed
19:22:58 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['3', '4']} b 0.514 0.486 39.8 feed
19:23:29 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['4', '4']} b 0.505 0.495 39.8 feed
19:23:59 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['5', '4']} b 0.494 0.506 39.7 feed
19:24:30 3 12 {'sets': [[6, 0], [0, 6]], 'current_set_games': [6, 6], 'sets_won_synthetic': True, 'point_score': ['6', '4']} b 0.488 0.512 39.8 feed
19:25:00 4 13 {'sets': [[6, 0], [0, 6], [0, 6]], 'current_set_games': [6, 7], 'sets_won_synthetic': True, 'point_score': ['15', '16']} b 0.000 1.000 0.0 feed

Showing last 30 of 200 ticks.

Tennis variance: best-of-3 single-match outcomes are noisy. Composite + trajectory shown for transparency, not as a tout. Use closing-line comparison (vs Pinnacle anchor above) as the canonical edge metric.