Dellavedova M - Ann S. π°π·
Extended stats (scorego)
| Dellavedova M | Ann S. π°π· | |
|---|---|---|
| Win % | 61.5% | 30% |
| Hard % | 65% | 33.3% |
| Clay % | 52.1% | 0% |
| Grass % | 58.3% | 0% |
| Deciding set % | 68.9% | 66.7% |
| Tie-breaks % | 52% | 100% |
| Titles (total) | 10 | 0 |
| Last 10 | WLWWWLWWWW | LLWLLLLWLW |
Source: scorego-app.com
About the athletes
Serve and return stats
| Dellavedova M | Ann S. π°π· | |
|---|---|---|
| Aces per match | 2.20 | 1.00 |
| Double faults per match | 0.4 | 5 |
| Breaks per match | 2.35 | 10.5 |
Source:tennisstats.com (per-match averages)
TennisStats: rating, form and serve/return
Hard
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 69.5% 57 / 82 Matches | 25.0% 1 / 4 Matches |
| Win Percentage Last 12 Months | 65.8% 77 / 117 Matches | 22.2% 2 / 9 Matches |
Clay
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 66.7% 2 / 3 Matches | N/A 0 / 0 Matches |
| Win Percentage Last 12 Months | 66.7% 2 / 3 Matches | N/A 0 / 0 Matches |
Grass
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| 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
H2H series (tennisstats)
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 69.9% 65 / 93 Matches | 25.0% 1 / 4 Matches |
| Wins in 12 mo. | 66.4% 85 / 128 Matches | 22.2% 2 / 9 Matches |
| Current rank | 307 | 2237 |
Source: tennisstats.com
Profile and percentages (tennisstats)
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| Prize money (career) | $84,393 USD | $0 USD |
| Rating | 307 | 2237 |
| Age | 26 | β |
| Height | 1.91m | β |
| Weight | 81kg | β |
Win percentage (match / set)
| Matthew Dellavedova | Suk Ann | |
|---|---|---|
| Match Wins | 70 % | 25 % |
| Match Wins (3 Sets) | 69 % | 25 % |
| Wins in Straight Sets | 59 % | 25 % |
| Wins From Behind | 24 % | 0 % |
| Won At Least 1 Set | 80 % | 50 % |
| Set 1 Win | 67 % | 25 % |
| Set 2 Win | 72 % | 33 % |
| Set 3 Win | 63 % | 0 % |
Source:tennisstats.com
Betting benchmarks (tennisstats)
Outcome percentages for totals and props: values for each player and a match-total column.
Total games
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Average Games in a Set | 9 | 8.75 | 8.88 |
| Over 6.5 | 88 % | 100 % | 94 % |
| Over 7.5 | 78 % | 75 % | 77 % |
| Over 8.5 | 55 % | 75 % | 65 % |
| Over 9.5 | 39 % | 25 % | 32 % |
| Over 10.5 | 21 % | 0 % | 11 % |
| Over 11.5 | 21 % | 0 % | 11 % |
Aces
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Aces Per Match | 2.20 | 1.00 | 3.20 |
| Most Aces in a match | 40 % | 0 % | N/A |
| 1+ | 50 % | 100 % | 95 % |
| 2+ | 50 % | 0 % | 90 % |
| 3+ | 40 % | 0 % | 75 % |
| 4+ | 20 % | 0 % | 75 % |
| 5+ | 10 % | 0 % | 70 % |
Breaks
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Breaks Per Match | 2.35 | 10.5 | 12.85 |
| Over 0.5 | 20 % | 100 % | 100 % |
| Over 1.5 | 20 % | 100 % | 100 % |
| Over 2.5 | 10 % | 100 % | 100 % |
| Over 3.5 | 10 % | 100 % | 100 % |
| Over 4.5 | 10 % | 100 % | 65 % |
| Over 5.5 | 10 % | 100 % | 60 % |
Tie-breaks
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.21 | 0 | 0.11 |
| Over 0.5 | 20 % | 0 % | 10 % |
| Over 1.5 | 1 % | 0 % | 1 % |
| Under 0.5 | 80 % | 100 % | 10 % |
| Under 1.5 | 99 % | 100 % | 1 % |
Double faults
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Double Faults Per Match | 0.4 | 5 | 5.4 |
| Over 0.5 (1+) | 30 % | 100 % | 95 % |
| Over 1.5 (2+) | 10 % | 100 % | 80 % |
| Over 2.5 (3+) | 0 % | 100 % | 80 % |
| Over 3.5 (4+) | 0 % | 100 % | 70 % |
| Over 4.5 (5+) | 0 % | 100 % | 50 % |
| Over 5.5 (6+) | 0 % | 0 % | 50 % |
Net points
| Matthew Dellavedova | Suk Ann | Match total | |
|---|---|---|---|
| Net Points Won Per Match | 7.67 | 8 | 15.67 |
| Over 4.5 (5+) | 11 % | 100 % | 56 % |
| Over 5.5 (6+) | 11 % | 100 % | 56 % |
| Over 6.5 (7+) | 0 % | 100 % | 50 % |
| Over 7.5 (8+) | 0 % | 0 % | 0 % |
| Over 8.5 (9+) | 0 % | 0 % | 0 % |
| Over 9.5 (10+) | 0 % | 0 % | 0 % |
Source:tennisstats.com
Dellavedova M face Ann S. π°π· on August 7, 2026 in the World Tennis. Men. China.
Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.
Our model prediction (Glicko-2)
PropickAI model Β· comparison with the market line (no margin)
1 Dellavedova M β 86%
Pure model vs market (1 Β· Dellavedova M): model 64% Β· market 89% Ξ β25 pp model estimates below the market
Model estimate: win Dellavedova M 86.4%, win Ann S. π°π· 13.6%. Model favourite β Dellavedova M.
Informational estimate, not a betting recommendation.
Math-model prediction
AI match prediction Dellavedova M - Ann S. π°π· August 7, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 1.05 / 2 9.90
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: consensus of 3 books (Baltbet, Betcity, Leon). This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
Market consensus
Forecast by market
Consensus probability with the bookmaker margin removed; the number on the right is the best available odds. For reference only, not a bet.
Dellavedova M - Ann S. π°π·
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). Glicko86.4% Β· +Elo prior (weight0.55).
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.
Match markets
Handicap
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.82 55.0% | 1.80 55.6% | 1.78 56.2% | |
| 1.88 53.2% | 1.90 52.6% | 1.86 53.8% |
Total
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| Over 17.5 | — | — | 1.67 59.9% |
| Over 18.5 | 1.94 51.6% | 1.96 51.0% | 1.99 50.3% |
| Under 17.5 | — | — | 1.99 50.3% |
| Under 18.5 | 1.77 56.5% | 1.75 57.1% | 1.67 59.9% |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Leon |
|---|---|---|---|
| 1.02 98.0% | 1.05 95.2% | 1.02 98.0% | |
| 9.90 10.1% | 7.60 13.2% | 8.10 12.4% |
Full head-to-head historyDellavedova M - Ann S. π°π·
Match history
Unlock the full match prediction
The Dellavedova M - Ann S. π°π· breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form