TennisEdge's AI model finds no betting value in J. Bouzas Maneiro vs A. Arseneault (Toronto on 2026-08-03) — the market is efficient, with J. Bouzas Maneiro favoured at 1.11.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | J. Bouzas Maneiro | A. Arseneault |
|---|---|---|
| Elo ratings-based, surface-weighted |
76.9% | 23.1% |
| Machine learning 29-feature gradient-boosted model |
82.5% | 17.5% |
| Serve / return point-by-point simulation |
54.3% | 45.7% |
| Blend what the bot actually prices off |
75.1% | 24.9% |
| Market implied de-vigged from the opening odds |
84.8% | 15.2% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| J. Bouzas Maneiro | clay | 1679 | 122–67 | 189 |
| A. Arseneault | hard | 1450 | 51–48 | 99 |
Our own ratings, computed from match results since 2018. Players with fewer than 5 rated matches are omitted rather than shown at a provisional starting value. Last updated July 20, 2026.
J. Bouzas Maneiro leads 1–0 over 1 meeting. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| Aug. 2, 2026 | Toronto | hard | J. Bouzas Maneiro | 2 - 0 |
| W | A. Arseneault | 2 - 0 | Aug. 2, 2026 |
| L | M. Bouzkova | 2 - 0 | July 20, 2026 |
| L | Q. Zheng | 2 - 0 | July 13, 2026 |
| L | J. Pegula | 2 - 0 | July 3, 2026 |
| W | D. Yastremska | 1 - 2 | July 1, 2026 |
| L | J. Bouzas Maneiro | 2 - 0 | Aug. 2, 2026 |
| L | H. Sakatsume | 0 - 2 | July 30, 2026 |
| W | A. Xu | 2 - 0 | July 29, 2026 |
| L | T. Chavez | 1 - 2 | July 26, 2026 |
| W | L. Cabrera | 0 - 2 | July 25, 2026 |
All Aug. 3, 2026 results & picks →
=== J. Bouzas Maneiro (A) vs A. Arseneault (B) -- Toronto, hard, 1/64 ===
MODELS vs MARKET
ELO A 76.9% | ML A 82.5% | blend 75.1% | Betfair A 89.3% (1.12) / B 11.6% (8.6)
Book B 6.2 (16.1%) but Betfair pushes B OUT to 8.6 (11.6%) -- sharp money rates B
even LOWER than the soft book. value_pick B/9.7% was computed off the soft book;
at the executable exchange price the value evaporates.
SIM (resimulate): baseline A 54.3% -- a near coin-flip, wildly out of line with
ELO/ML/market. Cause is in the inputs: Arseneault spw 0.572 / hold 0.655 higher than
Bouzas spw 0.57 / hold 0.611 -- B serve stats are FARMED on ITF W35 fields (opp ELO
1000-1400). Corrected (spw_b 0.522 clamped, rpw_b 0.37) gives A 92.2%, converging with
the market. Confirms baseline sim + its totals/handicap distributions are corrupted.
RECENT FORM (last 5)
A (Bouzas Maneiro, 23, #51): clay Prague L 7-5 7-5 v Bouzkova(1838, competitive);
hard-Q L 7-5 6-1 v Zheng; grass Wimb L 6-1 6-3 v Pegula(1883); grass Wimb W v
Yastremska(1684, 3-set grind); grass Wimb W 6-2 6-3 v Potapova(1613, DOM).
Genuine tour-level player who competes with 1700-2000 ELO fields. STABLE.
B (Arseneault, 24, #509): hard Vancouver L 6-7 2-6 v Sakatsume(1677); hard W 6-4 7-6
v Xu(1292); W35 Saskatoon Final L v Chavez(1399); W35 W v Cabrera; W35 W 6-2 6-3
v Ahn(1421). Match-sharp but ITF-level; best wins ~1500-1600, blown out by real
tour players. SHARPENING within her level but the level is a tier below A.
PATH & SHAPE
A: last match 2026-07-20 (12d ago) = rust risk; last surface clay to hard =
TRANSITION (level-depressor + widens margin variance). First match at venue.
B: 7 matches/14d, 4/7d, back-to-back 4, home wildcard -- highly match-sharp/played-in.
FATIGUE
A: 1 match/14d, rested-but-rusty (12d gap). B: 528 court min/14d, but 24yo baseline
recovery, not an extreme spot -- cumulative load is context only (next-match win rate
~unaffected by load; skill dominates). No fatigue edge either way.
NARRATIVE / ELO SANITY
B ranked 509 yet ELO/ML give her 17-23% -- classic HIGH-ELO/MODEST-RANK: rating
farmed at weak ITF events. Discount the model edge on B. Newport 250 title (07-05,
grass) is her ceiling signal but off-surface and below this level.
MARKET CHOICE
ML B @ Betfair 8.6: exchange prices B LONGER than book (8.6 vs 6.2) = Pricing-
Discipline kill condition; ELO edge farmed, ML edge marginal (17.5% vs 12.2% need). PASS.
ML A @ 1.12: models 75-82.5%, far below 93.75% required. No value. PASS.
Handicap A -6.5 @ 2.22 (|line|>=4.5 high-variance, needs 10% edge): no reliable margin
model (sim farmed); A rust + clay-to-hard transition is a COVER RISK (looser margins).
Baseline sim low cover, corrected ~43%. No confident 10% edge. PASS.
Handicap B +6.5 @ 1.75 (implied 57.1%): corrected sim B+6.5 covers 57% = no edge;
also contradicts a blowout read. PASS.
Total 18.5 (over 2.0 / under 1.92): over_prob is INPUT-ARTIFACT -- baseline 60.9% over
vs corrected 36% over. Apparent under edge fragile/input-dependent, and A rust+
transition raise the over tail. Low 18.5 line already reflects blowout. No robust edge. PASS.
alt_markets present; AH shadow n/a (no dog ML staked). refutation_check: n/a (PASS).
GATES
G1 edge-origin: FAIL -- only numeric edges (B ML value, totals over) are artifacts of
farmed ITF serve stats / soft book price; vanish at executable price + corrected sim.
G2 consensus: stake-tier only -- models split & contaminated (farmed ELO).
G3 fatal-risk: n/a (no margin bet staked).
VERDICT: PASS. Models (esp. the sim) are corrupted by Arseneault farmed ITF stats; the
sharp exchange (~89% A, validated by corrected sim 92%) is credible; the exchange pricing
B longer than the book kills the underdog value; no alt market offers a robust edge.