Wygona J. π΅π± - Hipfl N. π¦πΉ
Extended stats (scorego)
| Wygona J. π΅π± | Hipfl N. π¦πΉ | |
|---|---|---|
| Win % | 51.9% | 52.4% |
| Hard % | 50% | 42.9% |
| Clay % | 52.6% | 50% |
| Grass % | 0% | 0% |
| Deciding set % | 75% | 40% |
| Tie-breaks % | 50% | 43.5% |
| Titles (total) | 0 | 0 |
| Last 10 | WWWLWWWLLW | WLWLLLWWLW |
Source: scorego-app.com
About the athletes
Serve and return stats
| Wygona J. π΅π± | Hipfl N. π¦πΉ | |
|---|---|---|
| Aces per match | 2.00 | N/A |
| Double faults per match | 2 | N/A |
| Breaks per match | 9 | N/A |
Source:tennisstats.com (per-match averages)
TennisStats: rating, form and serve/return
Hard
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 63.6% 7 / 11 Matches | 0.0% 0 / 1 Matches |
| Win Percentage Last 12 Months | 63.6% 7 / 11 Matches | 0.0% 0 / 2 Matches |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Clay
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| Win Percentage 2026 Calendar Year | 53.3% 8 / 15 Matches | 0.0% 0 / 4 Matches |
| Win Percentage Last 12 Months | 45.0% 9 / 20 Matches | 12.5% 1 / 8 Matches |
| Aces Per Match | 2.00 | N/A |
| Most Aces in a match | 0 % | N/A |
Grass
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| 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 |
| Aces Per Match | N/A | N/A |
| Most Aces in a match | N/A | N/A |
Source:tennisstats.com
H2H series (tennisstats)
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| H2H wins | 0 (0%) | 0 (0%) |
| Sets | 0 (0%) | 0 (0%) |
| Wins this year | 55.6% 15 / 27 Matches | 0.0% 0 / 6 Matches |
| Wins in 12 mo. | 50.0% 16 / 32 Matches | 9.1% 1 / 11 Matches |
| Current rank | 913 | 1899 |
Source: tennisstats.com
Profile and percentages (tennisstats)
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| Prize money (career) | $3,988 USD | $0 USD |
| Rating | 913 | 1899 |
| Age | 20 | β |
Win percentage (match / set)
| Nico Hipfl | Jan Wygona | |
|---|---|---|
| Match Wins | 56 % | 0 % |
| Match Wins (3 Sets) | 58 % | 0 % |
| Wins in Straight Sets | 44 % | 0 % |
| Wins From Behind | 14 % | 0 % |
| Won At Least 1 Set | 67 % | 0 % |
| Set 1 Win | 52 % | 0 % |
| Set 2 Win | 59 % | 0 % |
| Set 3 Win | 50 % | N/A |
Source:tennisstats.com
Betting benchmarks (tennisstats)
Outcome percentages for totals and props: values for each player and a match-total column.
Total games
| Nico Hipfl | Jan Wygona | Match total | |
|---|---|---|---|
| Average Games in a Set | 9.19 | 10 | 9.6 |
| Over 6.5 | 92 % | 100 % | 96 % |
| Over 7.5 | 81 % | 100 % | 91 % |
| Over 8.5 | 69 % | 80 % | 75 % |
| Over 9.5 | 35 % | 60 % | 48 % |
| Over 10.5 | 12 % | 40 % | 26 % |
| Over 11.5 | 12 % | 40 % | 26 % |
Aces
| Nico Hipfl | Jan Wygona | Match total | |
|---|---|---|---|
| Aces Per Match | 2.00 | N/A | N/A |
| Most Aces in a match | 0 % | N/A | N/A |
| 1+ | 100 % | N/A | N/A |
| 2+ | 100 % | N/A | N/A |
| 3+ | 0 % | N/A | N/A |
| 4+ | 0 % | N/A | N/A |
| 5+ | 0 % | N/A | N/A |
Breaks
| Nico Hipfl | Jan Wygona | Match total | |
|---|---|---|---|
| Breaks Per Match | 9 | N/A | N/A |
| Over 0.5 | 100 % | N/A | N/A |
| Over 1.5 | 100 % | N/A | N/A |
| Over 2.5 | 100 % | N/A | N/A |
| Over 3.5 | 100 % | N/A | N/A |
| Over 4.5 | 100 % | N/A | N/A |
| Over 5.5 | 100 % | N/A | N/A |
Tie-breaks
| Nico Hipfl | Jan Wygona | Match total | |
|---|---|---|---|
| Tie Breaks Per Match | 0.27 | 0.4 | 0.33 |
| Over 0.5 | 27 % | 40 % | 33 % |
| Over 1.5 | 0 % | 0 % | 0 % |
| Under 0.5 | 73 % | 60 % | 33 % |
| Under 1.5 | 100 % | 100 % | 0 % |
Double faults
| Nico Hipfl | Jan Wygona | Match total | |
|---|---|---|---|
| Double Faults Per Match | 2 | N/A | N/A |
| Over 0.5 (1+) | 100 % | N/A | N/A |
| Over 1.5 (2+) | 100 % | N/A | N/A |
| Over 2.5 (3+) | 0 % | N/A | N/A |
| Over 3.5 (4+) | 0 % | N/A | N/A |
| Over 4.5 (5+) | 0 % | N/A | N/A |
| Over 5.5 (6+) | 0 % | N/A | N/A |
Source:tennisstats.com
Wygona J. π΅π± face Hipfl N. π¦πΉ on August 6, 2026 in the ITF Men - Singles: M15 Poprad (Slovakia), clay.
Full analysis β form, H2H, odds and the PrognozAI AI prediction β follows on this page.
Our model prediction (Glicko-2)
PropickAI model Β· comparison with the market line (no margin)
2 Hipfl N. π¦πΉ β 82%
Pure model vs market (2 Β· Hipfl N. π¦πΉ): model 54% Β· market 85% Ξ β31 pp model estimates below the market
Model estimate: win Wygona J. π΅π± 18.0%, win Hipfl N. π¦πΉ 82.0%. Model favourite β Hipfl N. π¦πΉ.
Informational estimate, not a betting recommendation.
Math-model prediction
AI match prediction Wygona J. π΅π± - Hipfl N. π¦πΉ August 6, 2026
Tennis math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- Win odds (market consensus): 1 6.40 / 2 1.10
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.Odds source: consensus of 4 books (Betcity, Kambi BetMGM, Kambi Unibet, 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.
Wygona J. π΅π± - Hipfl N. π¦πΉ
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). Glicko18.0% Β· +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.
Match markets
Handicap
| Outcome | Betcity | Leon |
|---|---|---|
| — | 1.92 52.1% | |
| 1.70 58.8% | 1.65 60.6% | |
| — | 1.72 58.1% | |
| 2.02 49.5% | 2.02 49.5% |
Total
| Outcome | Betcity | Leon |
|---|---|---|
| Over 18.5 | 1.83 54.6% | 1.79 55.9% |
| Over 19.5 | — | 1.92 52.1% |
| Under 18.5 | 1.87 53.5% | 1.84 54.4% |
| Under 19.5 | — | 1.72 58.1% |
Outcome (1X2)
| Outcome | Betcity | Kambi BetMGM | Kambi Unibet | Leon |
|---|---|---|---|---|
| 5.80 17.2% | 6.40 15.6% | 6.40 15.6% | 6.00 16.7% | |
| 1.10 90.9% | 1.08 92.6% | 1.08 92.6% | 1.07 93.5% |
Hipfl N. π¦πΉ
Full head-to-head historyWygona J. π΅π± - Hipfl N. π¦πΉ
Match history
Unlock the full match prediction
The Wygona J. π΅π± - Hipfl N. π¦πΉ 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