| Gonzalez Fernandez M | Shah A | |
|---|---|---|
| Aces per match | 1.10 | 1.20 |
| Double faults per match | 4.2 | 5 |
| Breaks per match | 9 | 2 |
Source:tennisstats.com (per-match averages)
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 48.2% 13 / 27 Matches | 37.5% 3 / 8 Matches |
| Win Percentage Last 12 Months | 54.0% 27 / 50 Matches | 39.1% 9 / 23 Matches |
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 25.0% 1 / 4 Matches | 0.0% 0 / 1 Matches |
| Win Percentage Last 12 Months | 33.3% 3 / 9 Matches | 25.0% 1 / 4 Matches |
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| Win Percentage 2026 Calendar Year | N/A 0 / 0 Matches | N/A 0 / 0 Matches |
| Win Percentage Last 12 Months | N/A 0 / 0 Matches | N/A 0 / 0 Matches |
Source:tennisstats.com
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 45.2% 14 / 31 Matches | 33.3% 3 / 9 Matches |
| Wins in 12 mo. | 51.6% 33 / 64 Matches | 37.0% 10 / 27 Matches |
| Current rank | 581 | 965 |
Source: tennisstats.com
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| Prize money (career) | $37,060 USD | $14,319 USD |
| Rating | 581 | 965 |
| Age | 24 | 20 |
| Height | 1.85m | 1.73m |
| Weight | 76kg | 78kg |
| Playing hand | Right-handed | Right-handed |
| Mario Gonzalez Fernandez | Aryan Shah | |
|---|---|---|
| Match Wins | 45 % | 33 % |
| Match Wins (3 Sets) | 45 % | 33 % |
| Wins in Straight Sets | 39 % | 0 % |
| Wins From Behind | 11 % | 25 % |
| Won At Least 1 Set | 74 % | 56 % |
| Set 1 Win | 61 % | 22 % |
| Set 2 Win | 52 % | 38 % |
| Set 3 Win | 18 % | 60 % |
Source:tennisstats.com
Outcome percentages for totals and props: values for each player and a match-total column.
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.9 | 9.33 | 9.62 |
| Over 6.5 | 100 % | 100 % | 100 % |
| Over 7.5 | 87 % | 67 % | 77 % |
| Over 8.5 | 71 % | 56 % | 64 % |
| Over 9.5 | 55 % | 56 % | 56 % |
| Over 10.5 | 29 % | 22 % | 26 % |
| Over 11.5 | 29 % | 22 % | 26 % |
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Aces Per Match | 1.10 | 1.20 | 2.30 |
| Most Aces in a match | 20 % | 20 % | N/A |
| 1+ | 60 % | 60 % | 95 % |
| 2+ | 40 % | 40 % | 95 % |
| 3+ | 10 % | 20 % | 90 % |
| 4+ | 0 % | 0 % | 85 % |
| 5+ | 0 % | 0 % | 65 % |
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Breaks Per Match | 9 | 2 | 11 |
| Over 0.5 | 100 % | 20 % | 100 % |
| Over 1.5 | 100 % | 20 % | 100 % |
| Over 2.5 | 100 % | 20 % | 100 % |
| Over 3.5 | 100 % | 20 % | 100 % |
| Over 4.5 | 100 % | 0 % | 50 % |
| Over 5.5 | 100 % | 0 % | 50 % |
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.32 | 0.11 | 0.22 |
| Over 0.5 | 26 % | 11 % | 18 % |
| Over 1.5 | 6 % | 0 % | 3 % |
| Under 0.5 | 74 % | 89 % | 18 % |
| Under 1.5 | 94 % | 100 % | 3 % |
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Double Faults Per Match | 4.2 | 5 | 9.2 |
| Over 0.5 (1+) | 100 % | 100 % | 100 % |
| Over 1.5 (2+) | 100 % | 100 % | 100 % |
| Over 2.5 (3+) | 80 % | 100 % | 90 % |
| Over 3.5 (4+) | 50 % | 100 % | 90 % |
| Over 4.5 (5+) | 30 % | 60 % | 70 % |
| Over 5.5 (6+) | 30 % | 20 % | 65 % |
| Mario Gonzalez Fernandez | Aryan Shah | Match total | |
|---|---|---|---|
| Net Points Won Per Match | 9.86 | 4.5 | 14.36 |
| Over 4.5 (5+) | 29 % | 67 % | 48 % |
| Over 5.5 (6+) | 29 % | 67 % | 48 % |
| Over 6.5 (7+) | 29 % | 33 % | 31 % |
| Over 7.5 (8+) | 29 % | 33 % | 31 % |
| Over 8.5 (9+) | 14 % | 33 % | 24 % |
| Over 9.5 (10+) | 14 % | 0 % | 7 % |
Source:tennisstats.com
Gonzalez Fernandez M take on Shah A on August 6, 2026 in the World Tennis. Men. Spain, International.
Full analysis — form, H2H, odds and the PrognozAI AI prediction — follows on this page.
Our model prediction (Glicko-2)
2 Shah A — 57%
Pure model vs market (2 · Shah A): model 38% · market 59% Δ −21 pp model estimates below the market
Model estimate: win Gonzalez Fernandez M 42.8%, win Shah A 57.2%. Model favourite — Shah A.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
The summary is built from our prematch context: line, form, lineups and Glicko.
For reference
Odds source: consensus of 6 books (Baltbet, Betcity, Fonbet, Kambi BetMGM, Kambi Unibet, Leon). This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
For reference
↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
Model consensus
Modeli dayut edinyy signal. Takie matchi my pomechaem kak bolee silnye.
Market consensus
Consensus probability with the bookmaker margin removed; the number on the right is the best available odds. For reference only, not a bet.
AI overview
AI analysis:2/7 ready · Still preparing:DeepSeek, ChatGPT, Qwen, Kimi, GLM 5.2
AI consensus:2
| AI | 1 | 2 | Score | Total games | Bet |
|---|---|---|---|---|---|
| Google AI | 57% | 43% | 2:1 | Over 22.5 | |
| Claude | 45% | 55% | 2:1 | Over 21.5 | Over 21.5 games |
V baze uchteny nedavnie matchi oboikh uchastnikov.
Tennis math model. Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Model = Glicko + Elo strength prior (heuristic, historical calibration in progress). Glicko42.8% · +Elo prior (weight0.51).
Best value: no value found
Tennis without draws: the base signal comes from player rating, surface, form, serve/return and tournament fatigue. For live logic the set state and who is serving matter more than the overall points score.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| — | — | 2.20 45.5% | — | |
| — | — | 2.05 48.8% | — | |
| 1.88 53.2% | 1.97 50.8% | 1.88 53.2% | 1.82 55.0% | |
| — | — | 1.67 59.9% | — | |
| — | — | 1.60 62.5% | — | |
| — | — | 1.68 59.5% | — | |
| — | — | 1.82 55.0% | — | |
| — | — | 2.07 48.3% | — | |
| 1.82 55.0% | 1.74 57.5% | — | 1.82 55.0% |
| Outcome | Fonbet |
|---|---|
| 1.50 66.7% | |
| 3.65 27.4% | |
| 1.22 82.0% | |
| 2.40 41.7% |
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| Over 20.5 | — | — | 1.63 61.4% | — |
| Over 21.5 | 1.80 55.6% | 1.85 54.1% | 1.80 55.6% | 1.77 56.5% |
| Over 22.5 | — | — | 2.02 49.5% | — |
| Over 23.5 | — | — | 2.25 44.4% | — |
| Under 20.5 | — | — | 2.15 46.5% | — |
| Under 21.5 | 1.90 52.6% | 1.85 54.1% | 1.90 52.6% | 1.87 53.5% |
| Under 22.5 | — | — | 1.70 58.8% | — |
| Under 23.5 | — | — | 1.57 63.7% | — |
| Outcome | Fonbet |
|---|---|
| Over 2.5 | 2.30 43.5% |
| Under 2.5 | 1.55 64.5% |
Gonzalez Fernandez M
Shah A
Dzhiron M
Guttau N. 🇩🇪
Full head-to-head historyGonzalez Fernandez M - Shah A
The Gonzalez Fernandez M - Shah A breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.