Miyoshi K - Alkaya M
Extended stats (scorego)
| Miyoshi K | Alkaya M | |
|---|---|---|
| Win % | 62.7% | 64.7% |
| Hard % | 62.8% | 67.7% |
| Clay % | 60% | 59% |
| Grass % | 0% | 50% |
| Deciding set % | 52.9% | 43.3% |
| Tie-breaks % | 41.2% | 61.5% |
| Titles (total) | 2 | 3 |
| Last 10 | WWWLWWWWWL | WLLWWLLLWW |
Source: scorego-app.com
About the athletes
Serve and return stats
| Miyoshi K | Alkaya M | |
|---|---|---|
| Aces per match | 5.55 | 6.31 |
| Double faults per match | 2.64 | 1.77 |
| Breaks per match | 1.61 | 9 |
Source:tennisstats.com (per-match averages)
TennisStats: rating, form and serve/return
Hard
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 61.4% 27 / 44 Matches | 76.7% 23 / 30 Matches |
| Win Percentage Last 12 Months | 69.1% 56 / 81 Matches | 67.5% 27 / 40 Matches |
Clay
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 50.0% 1 / 2 Matches | N/A 0 / 0 Matches |
| Win Percentage Last 12 Months | 50.0% 1 / 2 Matches | N/A 0 / 0 Matches |
Grass
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 50.0% 1 / 2 Matches | N/A 0 / 0 Matches |
| Win Percentage Last 12 Months | 50.0% 1 / 2 Matches | N/A 0 / 0 Matches |
Source:tennisstats.com
H2H series (tennisstats)
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 60.8% 31 / 51 Matches | 76.7% 23 / 30 Matches |
| Wins in 12 mo. | 67.8% 61 / 90 Matches | 67.5% 27 / 40 Matches |
| Current rank | 299 | 525 |
Source: tennisstats.com
Profile and percentages (tennisstats)
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Prize money (career) | $17,757 USD | $11,954 USD |
| Rating | 299 | 525 |
| Age | 26 | 22 |
| Height | — | 1.85m |
| Weight | — | 70kg |
Win percentage (match / set)
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Match Wins | 61 % | 77 % |
| Match Wins (3 Sets) | 60 % | 77 % |
| Wins in Straight Sets | 49 % | 60 % |
| Wins From Behind | 14 % | 30 % |
| Won At Least 1 Set | 84 % | 87 % |
| Set 1 Win | 67 % | 77 % |
| Set 2 Win | 67 % | 70 % |
| Set 3 Win | 35 % | 63 % |
Source:tennisstats.com
Match stats (live, tennisstats)
| Mert Alkaya | Kenta Miyoshi | |
|---|---|---|
| Aces | 4 | 1 |
| Double Faults | 2 | 1 |
| 1st serve percentage | 50% | 52% |
| 1st serve points won | 85% (22/26) | 54% (15/28) |
| 2nd serve points won | 54% (14/26) | 50% (13/26) |
| Break Points Saved | 2/3 | 5/9 |
| 1st return points won | 46% (13/28) | 23% (6/26) |
| 2nd return points won | 50% (13/26) | 46% (12/26) |
| Break Points Converted | 4/9 | 1/3 |
| Service Points Won | 69% (36/52) | 53% (28/53) |
| Return Points Won | 47% (25/53) | 31% (16/52) |
| Total Points Won | 58% (61/105) | 42% (44/105) |
| Last 10 balls | 7 | 3 |
| Match points saved | 0 | 1 |
| Service games won | 89% (8/9) | 50% (4/8) |
| Return games won | 50% (4/8) | 11% (1/9) |
| Total games won | 71% (12/17) | 29% (5/17) |
Source:tennisstats.com
Betting benchmarks (tennisstats)
Outcome percentages for totals and props: values for each player and a match-total column.
Total games
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.1 | 9.4 | 9.25 |
| Over 6.5 | 96 % | 97 % | 97 % |
| Over 7.5 | 81 % | 83 % | 82 % |
| Over 8.5 | 60 % | 57 % | 59 % |
| Over 9.5 | 35 % | 33 % | 34 % |
| Over 10.5 | 13 % | 23 % | 18 % |
| Over 11.5 | 13 % | 23 % | 18 % |
Aces
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Aces Per Match | 5.55 | 6.31 | 11.86 |
| Most Aces in a match | 86 % | 100 % | N/A |
| 1+ | 91 % | 100 % | 100 % |
| 2+ | 73 % | 92 % | 87 % |
| 3+ | 73 % | 77 % | 84 % |
| 4+ | 73 % | 69 % | 80 % |
| 5+ | 64 % | 62 % | 75 % |
Breaks
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Breaks Per Match | 1.61 | 9 | 10.61 |
| Over 0.5 | 41 % | 100 % | 100 % |
| Over 1.5 | 41 % | 100 % | 100 % |
| Over 2.5 | 0 % | 100 % | 71 % |
| Over 3.5 | 0 % | 100 % | 71 % |
| Over 4.5 | 0 % | 100 % | 71 % |
| Over 5.5 | 0 % | 100 % | 50 % |
Tie-breaks
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.27 | 0.33 | 0.3 |
| Over 0.5 | 27 % | 33 % | 30 % |
| Over 1.5 | 0 % | 0 % | 0 % |
| Under 0.5 | 73 % | 67 % | 30 % |
| Under 1.5 | 100 % | 100 % | 0 % |
Double faults
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Double Faults Per Match | 2.64 | 1.77 | 4.41 |
| Over 0.5 (1+) | 86 % | 46 % | 98 % |
| Over 1.5 (2+) | 64 % | 38 % | 88 % |
| Over 2.5 (3+) | 45 % | 31 % | 73 % |
| Over 3.5 (4+) | 32 % | 8 % | 64 % |
| Over 4.5 (5+) | 23 % | 8 % | 53 % |
| Over 5.5 (6+) | 14 % | 8 % | 35 % |
Net points
| Mert Alkaya | Kenta Miyoshi | Match total | |
|---|---|---|---|
| Net Points Won Per Match | 6.94 | N/A | N/A |
| Over 4.5 (5+) | 63 % | N/A | N/A |
| Over 5.5 (6+) | 38 % | N/A | N/A |
| Over 6.5 (7+) | 38 % | N/A | N/A |
| Over 7.5 (8+) | 38 % | N/A | N/A |
| Over 8.5 (9+) | 19 % | N/A | N/A |
| Over 9.5 (10+) | 19 % | N/A | N/A |
Source:tennisstats.com
Miyoshi K take on Alkaya M on August 6, 2026 in the Istanbul 2, Turkiye.
Recent form (W-D-L): Miyoshi K 4-0-1, Alkaya M 3-0-2. PrognozAI's Glicko-2 model gives the home side 61% to win. Below: team form, head-to-head history, bookmaker odds and the full PrognozAI AI breakdown.
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1 Miyoshi K — 61%
Pure model vs market (1 · Miyoshi K): model 65% · market 61% Δ +4 pp model estimates above the market
Model estimate: win Miyoshi K 61.3%, win Alkaya M 38.7%. Model favourite — Miyoshi K.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Miyoshi K
- • 🇯🇵 — Alkaya M
- • 🇹🇷 (tennis)
- • Miyoshi K
- • 🇯🇵: forma VVVPV (4-1)
- • Alkaya M
- • 🇹🇷: forma VVPPP (2-3)
- • Model backs Alkaya M
- • 🇹🇷: probability 54% vs 61% on the line (odds 1.65)
- • no edge over the line (-7 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Miyoshi K - Alkaya M August 6, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Miyoshi K.
- Win odds (Fonbet): 1 1.01 / 2 14.00
- Glicko: Miyoshi K 61.3% / Alkaya M 38.7%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: consensus of 4 books (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
Line movement
How the odds changed from opening to the current line — for reference, not a betting recommendation.↓ odds shortened (money on this outcome), ↑ drifted (line weakened). For reference, not a betting recommendation.
Model consensus
AI outcome leader: 1
Modeli dayut edinyy signal. Takie matchi my pomechaem kak bolee silnye.
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.
Head-to-head and form stats
Head-to-head and form
Team form
Head-to-head and recent form per sports statistics — for reference.
AI overview
AI predictions
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 | 46% | 54% | 1:2 | Over 22.5 | |
| Claude | 47% | 53% | 2:1 | Over 22.5 | Over 22.5 games |
Play free: you start with $10,000 in virtual money. Bet on this match at our odds, then track your profit and climb the global leaderboard. No real money, no sign-up.
Miyoshi K - Alkaya M
V baze uchteny nedavnie matchi oboikh uchastnikov.
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
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). Glicko61.3% · +Elo prior (weight0.28).
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.
Handicap
| Outcome | Fonbet |
|---|---|
| 1.55 64.5% | |
| 1.65 60.6% | |
| 1.30 76.9% | |
| 1.38 72.5% | |
| 1.02 98.0% | |
| 1.07 93.5% | |
| 1.01 99.0% | |
| 2.08 48.1% | |
| 2.02 49.5% | |
| 2.05 48.8% | |
| 2.25 44.4% | |
| 2.10 47.6% | |
| 3.20 31.3% | |
| 2.80 35.7% | |
| 9.50 10.5% | |
| 6.40 15.6% | |
| 11.00 9.1% | |
| 1.35 74.1% |
Handicap
| Outcome | Fonbet |
|---|---|
| 1.02 98.0% | |
| 1.01 99.0% | |
| 11.00 9.1% | |
| 10.00 10.0% |
Total
| Outcome | Fonbet |
|---|---|
| Over 16.5 | 1.35 74.1% |
| Over 17.5 | 11.00 9.1% |
| Over 18.5 | 6.40 15.6% |
| Over 19.5 | 8.00 12.5% |
| Over 20.5 | 1.75 57.1% |
| Over 21.5 | 2.35 42.6% |
| Over 22.5 | 2.40 41.7% |
| Over 23.5 | 1.92 52.1% |
| Over 24.5 | 1.95 51.3% |
| Under 16.5 | 2.95 33.9% |
| Under 17.5 | 1.01 99.0% |
| Under 18.5 | 1.07 93.5% |
| Under 19.5 | 1.04 96.2% |
| Under 20.5 | 1.95 51.3% |
| Under 21.5 | 1.52 65.8% |
| Under 22.5 | 1.50 66.7% |
| Under 23.5 | 1.78 56.2% |
| Under 24.5 | 1.75 57.1% |
Total
| Outcome | Fonbet |
|---|---|
| Over 2.5 | 11.00 9.1% |
| Under 2.5 | 1.01 99.0% |
Full head-to-head historyMiyoshi K - Alkaya M
Match history
Unlock the full match prediction
The Miyoshi K - Alkaya M 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