AI verdict
Model consensus and the Glicko-2 rating lean to Gulin S. Full breakdown below.
Picks locked before kickoff results verified after public accuracy log →
| Fajta P | Gulin S | |
|---|---|---|
| Win % | 65.3% | 67.7% |
| Hard % | 65.8% | 62.9% |
| Clay % | 64.1% | 68.9% |
| Grass % | 0% | 0% |
| Deciding set % | 53.7% | 56.4% |
| Tie-breaks % | 53.3% | 53.2% |
| Titles (total) | 10 | 10 |
| Last 10 | LWLLLLWWLL | LLWWLWLWWL |
Source: scorego-app.com
| Fajta P | Gulin S | |
|---|---|---|
| Aces per match | 1.00 | 3.35 |
| Double faults per match | 2 | 2.2 |
| Breaks per match | 4.5 | 2.95 |
Source:tennisstats.com (per-match averages)
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 0.0% 0 / 2 Matches | 70.0% 7 / 10 Matches |
| Win Percentage Last 12 Months | 57.1% 8 / 14 Matches | 70.0% 7 / 10 Matches |
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 43.8% 7 / 16 Matches | 60.9% 14 / 23 Matches |
| Win Percentage Last 12 Months | 44.4% 8 / 18 Matches | 60.0% 21 / 35 Matches |
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| 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
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 36.8% 7 / 19 Matches | 61.8% 21 / 34 Matches |
| Wins in 12 mo. | 48.5% 16 / 33 Matches | 59.6% 28 / 47 Matches |
| Current rank | 664 | 576 |
Source: tennisstats.com
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| Prize money (career) | $52,461 USD | $49,448 USD |
| Rating | 664 | 576 |
| Age | 24 | 23 |
| Height | 1.85m | 1.78m |
| Weight | 81kg | 80kg |
| Playing hand | Right-handed | Right-handed |
| Peter Fajta | Svyatoslav Gulin | |
|---|---|---|
| Match Wins | 37 % | 62 % |
| Match Wins (3 Sets) | 39 % | 64 % |
| Wins in Straight Sets | 26 % | 47 % |
| Wins From Behind | 14 % | 13 % |
| Won At Least 1 Set | 53 % | 79 % |
| Set 1 Win | 42 % | 56 % |
| Set 2 Win | 37 % | 71 % |
| Set 3 Win | 40 % | 45 % |
Source:tennisstats.com
Outcome percentages for totals and props: values for each player and a match-total column.
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.68 | 9.62 | 9.65 |
| Over 6.5 | 89 % | 100 % | 95 % |
| Over 7.5 | 83 % | 88 % | 86 % |
| Over 8.5 | 72 % | 67 % | 70 % |
| Over 9.5 | 44 % | 45 % | 45 % |
| Over 10.5 | 22 % | 21 % | 22 % |
| Over 11.5 | 22 % | 21 % | 22 % |
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Aces Per Match | 1.00 | 3.35 | 4.35 |
| Most Aces in a match | 0 % | 65 % | N/A |
| 1+ | 100 % | 95 % | 100 % |
| 2+ | 0 % | 75 % | 95 % |
| 3+ | 0 % | 55 % | 95 % |
| 4+ | 0 % | 40 % | 40 % |
| 5+ | 0 % | 30 % | 30 % |
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Breaks Per Match | 4.5 | 2.95 | 7.45 |
| Over 0.5 | 100 % | 95 % | 100 % |
| Over 1.5 | 100 % | 95 % | 100 % |
| Over 2.5 | 100 % | 35 % | 98 % |
| Over 3.5 | 0 % | 10 % | 98 % |
| Over 4.5 | 0 % | 5 % | 98 % |
| Over 5.5 | 0 % | 5 % | 85 % |
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.28 | 0.24 | 0.26 |
| Over 0.5 | 28 % | 21 % | 24 % |
| Over 1.5 | 0 % | 3 % | 2 % |
| Under 0.5 | 72 % | 79 % | 24 % |
| Under 1.5 | 100 % | 97 % | 2 % |
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Double Faults Per Match | 2 | 2.2 | 4.2 |
| Over 0.5 (1+) | 100 % | 95 % | 100 % |
| Over 1.5 (2+) | 100 % | 70 % | 100 % |
| Over 2.5 (3+) | 0 % | 35 % | 85 % |
| Over 3.5 (4+) | 0 % | 10 % | 80 % |
| Over 4.5 (5+) | 0 % | 10 % | 70 % |
| Over 5.5 (6+) | 0 % | 0 % | 18 % |
| Peter Fajta | Svyatoslav Gulin | Match total | |
|---|---|---|---|
| Net Points Won Per Match | N/A | 7.31 | N/A |
| Over 4.5 (5+) | N/A | 69 % | N/A |
| Over 5.5 (6+) | N/A | 69 % | N/A |
| Over 6.5 (7+) | N/A | 38 % | N/A |
| Over 7.5 (8+) | N/A | 38 % | N/A |
| Over 8.5 (9+) | N/A | 31 % | N/A |
| Over 9.5 (10+) | N/A | 23 % | N/A |
Source:tennisstats.com
Fajta P take on Gulin S on August 23, 2026 in the Augsburg, International.
Recent form (W-D-L): Fajta P 2-0-3, Gulin S 2-0-3. Below: team form, head-to-head history, bookmaker odds and the full PropickAI AI breakdown.
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
2 Gulin S — 68%
Model estimate: win Fajta P 31.5%, win Gulin S 68.5%. Model favourite — Gulin S.
Informational estimate, not a betting recommendation.
Match winner — Gulin S
How often this pick wins on our settled history — not a profit forecast.
Math-model prediction
The summary is built from our prematch context: line, form, lineups and Glicko.
For reference
Odds source: consensus of 4 books (Baltbet, Betcity, Fonbet, 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:1/7 ready · Still preparing:DeepSeek, ChatGPT, Claude, Qwen, Kimi, GLM 5.2
Peter Fajta and Svyatoslav Gulin face each other in the qualification round of the Augsburg Challenger (Schwaben Open) on clay. Bookmaker odds strongly favor the away player at 1.38 against 3.00 for the home player, which translates to a de-vigged market implied probability of 32% for Fajta and 68% for Gulin. This distribution aligns perfectly with the underlying analytical models, establishing Gulin as the clear pre-match favorite.
Current Form and Tactical Matchup
Peter Fajta: Shows a continuous pattern of struggle with a clear deficit in recent matches (Form: LL), showing a lack of stability on clay courts.
Svyatoslav Gulin: Holds a marginally better match dynamic (Form: LLLWL) despite his own consistency issues. He possesses a higher baseline ceiling and ranking position compared to Fajta.
Physical Condition: No significant injuries or physical suspensions are documented for either competitor, indicating full physical readiness for this match.
Head-to-Head (H2H) and Market Breakdown
The statistical history shows no prior head-to-head encounters between Peter Fajta and Svyatoslav Gulin on the professional circuit. This initial meeting means both players will need time to adapt to each other's serve and returning patterns. Because Gulin has a stronger overall clay court game and a superior career-high ranking, the analytical model probabilities match the de-vigged market distribution of 32% (P1) to 68% (P2). There is no logical reason to diverge from these expectations, as Gulin represents the superior tactical force in these court conditions.
Additional Markets and Set Score Forecast
Given the inconsistent forms of both players, a straightforward, error-free match is highly unlikely. Gulin should dictate play but is prone to temporary lapses in concentration. This volatility naturally points toward an Extended Total Games market rather than a swift blowout.
Exact Score by Sets: 1:2
Total Games Recommended Line: Over 21.5 Games
Main Bet Conclusion
The primary recommendation centers on a hard-fought match where Svyatoslav Gulin ultimately prevails due to his higher skill baseline, but Peter Fajta will extract enough games to push the overall count high.
| AI | 1 | 2 | Score | Total games | Bet |
|---|---|---|---|---|---|
| Google AI | 32% | 68% | 1:2 | Over 21.5 | Away Win (P2) |
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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). Glicko31.5% · +Elo prior (weight0.56).
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 |
|---|---|---|---|---|
| 1.99 50.3% | 1.94 51.6% | 2.00 50.0% | 2.06 48.5% | |
| — | — | 1.73 57.8% | — | |
| 1.73 57.8% | 1.77 56.5% | — | 1.71 58.5% |
| Outcome | Fonbet |
|---|---|
| 1.73 57.8% | |
| 4.70 21.3% | |
| 1.15 87.0% | |
| 2.00 50.0% |
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| Over 19.5 | — | — | 1.53 65.4% |
| Over 20.5 | — | — | 1.72 58.1% |
| Over 21.5 | 1.90 52.6% | 1.90 52.6% | 1.90 52.6% |
| Over 22.5 | — | — | 2.20 45.5% |
| Under 19.5 | — | — | 2.35 42.6% |
| Under 20.5 | — | — | 2.00 50.0% |
| Under 21.5 | 1.80 55.6% | 1.79 55.9% | 1.80 55.6% |
| Under 22.5 | — | — | 1.60 62.5% |
| Outcome | Fonbet |
|---|---|
| Over 2.5 | 2.45 40.8% |
| Under 2.5 | 1.48 67.6% |
Fajta P
Gulin S
The Fajta P - Gulin S breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
August 23, 2026.