TennisEdge's AI model finds no betting value in B. Nakashima vs T. Fritz (Washington on 2026-08-01) — the market is efficient, with T. Fritz favoured at 1.60.
Independent estimates of who wins, each from a different method. The blend is what the bot prices against the market.
| Method | B. Nakashima | T. Fritz |
|---|---|---|
| Elo ratings-based, surface-weighted |
36.7% | 63.3% |
| Machine learning 29-feature gradient-boosted model |
60.3% | 39.7% |
| Serve / return point-by-point simulation |
35.2% | 64.8% |
| Blend what the bot actually prices off |
36.7% | 63.3% |
| Market implied de-vigged from the opening odds |
38.6% | 61.4% |
We publish how well these score against the closing market, including where they lose: how accurate are tennis predictions?
| Player | Surface | Elo | Record | Matches |
|---|---|---|---|---|
| B. Nakashima | hard | 1848 | 175–101 | 276 |
| T. Fritz | hard | 1972 | 179–93 | 272 |
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 Aug. 1, 2026.
T. Fritz leads 3–2 over 5 meetings. Full record.
| Date | Event | Surface | Winner | Score |
|---|---|---|---|---|
| Aug. 1, 2026 | Washington | hard | T. Fritz | 2 - 1 |
| Feb. 12, 2026 | Dallas | hard | T. Fritz | 2 - 0 |
| Aug. 14, 2024 | ATP Cincinnati | hard | B. Nakashima | 2 - 1 |
| June 30, 2021 | Wimbledon | grass | T. Fritz | 3 - 1 |
| Dec. 27, 2019 | Hawaii Open | hard | B. Nakashima | 2 - 0 |
| L | T. Fritz | 1 - 2 | Aug. 1, 2026 |
| W | A. De Minaur | 0 - 2 | July 31, 2026 |
| W | J. Mensik | 2 - 1 | July 30, 2026 |
| W | T. M. Etcheverry | 2 - 0 | July 28, 2026 |
| W | L. Miguel | 0 - 3 | July 18, 2026 |
| W | R. Jodar | 2 - 0 | Aug. 3, 2026 |
| W | B. Nakashima | 1 - 2 | Aug. 1, 2026 |
| W | A. Michelsen | 2 - 1 | July 31, 2026 |
| W | K. Majchrzak | 2 - 0 | July 29, 2026 |
| W | Z. Bergs | 2 - 0 | July 27, 2026 |
All Aug. 1, 2026 results & picks →
B. Nakashima (A, 24, #33) vs T. Fritz (B, 28, #9) - ATP Washington SF, hard.
MODELS
ELO: A 36.7% / B 63.3%
ML: A 60.3% / B 39.7% (lone outlier vs everything else)
Sim: A 35.3% / B 64.8% (win_prob, exp margin B -1.6)
Market: Betfair A 2.70 (~37%) / B 1.55 (~65%); book 2.54 / 1.60
-> ELO + sim + market + Betfair all agree Fritz ~63-65%. ML is the sole
disagreer @60% for A; ML break-even/miscalibration is its known failure
mode. Trusting it against a 3-way consensus is unwarranted.
RECENT FORM (last 5 shown)
Nakashima: 07-31 W QF vs De Minaur 1991 ELITE (grind, tb) -> big scalp;
07-30 W vs Mensik 1917 (7-6 3-6 6-4, grind); 07-28 W vs Etcheverry 1780
(6-3 6-4 DOM); 07-17/18 UTS exhibition (placeholder elo, discount).
Shape: SHARPENING (beat De Minaur = over-performance). Match-sharp, deep run.
Fritz: 07-31 W QF vs Michelsen 1901 (6-1 3-6 7-6, grind); 07-29 W vs
Majchrzak (6-3 6-4 DOM); 07-27 W vs Bergs (6-3 6-4 DOM); Wimbledon QF.
Shape: STABLE-solid.
FATIGUE (Step 2, calibrated)
Both played 3-set QFs YESTERDAY (07-31) -> both carry the -4.5pp 3-set-
hangover haircut; effect roughly cancels between them. Nakashima load far
heavier (1135min/15 sets vs Fritz 310min/9 sets) but cumulative minutes are
context, not an edge, and market already sees the deep run. Both age 23-29 =
baseline, no age modulation. Net: no bettable fatigue edge either side.
NARRATIVE / PATH
No Final in window (no letdown). Both deep at same event = match-sharp, no
rust, no surface transition (both hard). ELO~ranking coherent for Fritz.
Nothing that creates a numeric edge.
MARKET CHOICE (Step 4b) - alt_markets present
ML: consensus, no edge. A@2.70 vs ELO37% -> edge ~-1%. B@1.55 vs ~63% ->
edge ~-2%. PASS both.
Handicap: sim A+2.5 covers 46.5% @1.85 -> edge ~-7%. B-2.5 covers 53.5%
@2.08 -> edge ~+2.4%, below 5% bar AND laying -2.5 = high-variance tier
(needs >=10%). PASS.
Total 24.5: sim under 64.9% @1.98 -> nominal edge ~+13.5%. BUT the edge is
manufactured entirely by the global bias_correction -3.0 (raw 25.0 -> cal
22.0); raw projection sits ON the line. Match-specific evidence pushes the
OTHER way: of these two players' 6 recent Washington matches, 3 went 3
sets (over 24.5); Nakashima over-prone (2 of 3 last matches over); two
solid servers + competitive SF => tiebreak/3-set risk = OVER. Under thesis
rests on one calibration constant, contradicted by scoreline dist + style.
AH: A +2.5 @ 1.85 (dog ML not staked >=3.0, shadow not required)
GATES (evaluated for strongest candidate = Total UNDER 24.5)
G1 edge-origin: PASS - under edge is sim 65% vs market 52%, pre-narrative.
G2 consensus: stake-tier only - lone sim signal -> capped tier if bet.
G3 fatal-risk: FAIL - margin bet, HARD VETO. Under self-negated by an
in-form-grinder / 3-set-prone matchup (in-event 50% of these two's recent
matches went over 24.5); margin evidence (scoreline dist, style) argues
OVER, not under. Units never buy back a negating risk.
VERDICT: PASS. ML is a 3-way consensus on Fritz with no executable edge either
side (ML outlier is the weak model). Handicap edges sub-bar/high-variance. The
only sizeable number - total under - is a calibration artifact vetoed by G3 and
contradicted by the match's own scoreline/style evidence. No priced opinion
beats the exchange here.