Skott K. ๐บ๐ธ - Schoppe E. ๐บ๐ธ
About the athletes
Our model prediction (Glicko-2)
PropickAI model ยท comparison with the market line (no margin)
1 Skott K. ๐บ๐ธ โ 79%
Pure model vs market (1 ยท Skott K. ๐บ๐ธ): model 57% ยท market 38% ฮ +19 pp model estimates above the market
Model estimate: win Skott K. ๐บ๐ธ 78.7%, win Schoppe E. ๐บ๐ธ 21.3%. Model favourite โ Skott K. ๐บ๐ธ.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Skott K
- • ๐บ๐ธ โ Schoppe E
- • ๐บ๐ธ (tennis)
- • Skott K
- • ๐บ๐ธ: forma VV (2-0)
- • Schoppe E
- • ๐บ๐ธ: forma P (0-1)
- • Model backs Skott K
- • ๐บ๐ธ: probability 71% vs 80% on the line (odds 1.26)
- • no edge over the line (-8 pp) โ informational only.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Skott K. ๐บ๐ธ - Schoppe E. ๐บ๐ธ July 27, 2026
Tennis math modelBased on the collected prematch data, the favourite looks like Schoppe E. ๐บ๐ธ.
- Win odds (Fonbet): 1 2.45 / 2 1.48
- Glicko: Skott K. ๐บ๐ธ 78.7% / Schoppe E. ๐บ๐ธ 21.3%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin โ for reference, not a betting recommendation.Odds source: Fonbet. This is the fair probability after removing the bookmaker margin from the odds โ reference information, not a prediction or a betting recommendation.
For reference
Line movement
How the odds changed from opening to the current line โ for reference, not a betting recommendation.โ odds shortened (money on this outcome), โ drifted (line weakened). For reference, not a betting recommendation.
Skott K. ๐บ๐ธ - Schoppe E. ๐บ๐ธ
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.
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 | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| 1.67 59.9% | 1.68 59.5% | — | |
| 1.70 58.8% | 1.75 57.1% | — | |
| — | — | 1.80 55.6% | |
| — | — | 1.55 64.5% | |
| — | — | 1.58 63.3% | |
| 2.07 48.3% | 2.05 48.8% | — | |
| 2.03 49.3% | 1.96 51.0% | — | |
| — | — | 1.92 52.1% | |
| — | — | 1.88 53.2% | |
| — | — | 2.05 48.8% | |
| — | — | 1.75 57.1% | |
| — | — | 1.67 59.9% | |
| — | — | 1.60 62.5% | |
| — | — | 1.75 57.1% |
Total
| Outcome | Baltbet | Betcity | Fonbet |
|---|---|---|---|
| Over 17.5 | — | — | 1.65 60.6% |
| Over 18.5 | 1.76 56.8% | 1.74 57.5% | 1.83 54.6% |
| Over 19.5 | 2.00 50.0% | — | 1.70 58.8% |
| Over 20.5 | 1.95 51.3% | 1.96 51.0% | 1.70 58.8% |
| Over 21.5 | — | — | 1.68 59.5% |
| Over 22.5 | — | — | 1.95 51.3% |
| Over 23.5 | — | — | 1.73 57.8% |
| Over 24.5 | — | — | 1.90 52.6% |
| Under 18.5 | 1.95 51.3% | 1.98 50.5% | — |
| Under 19.5 | 1.72 58.1% | — | — |
| Under 20.5 | 1.76 56.8% | 1.75 57.1% | — |
Outcome (1X2)
| Outcome | Baltbet | Betcity | Fonbet | Leon |
|---|---|---|---|---|
| 1.14 87.7% | 1.14 87.7% | 2.45 40.8% | 1.13 88.5% | |
| 4.90 20.4% | 4.90 20.4% | 1.48 67.6% | 4.80 20.8% |
Full head-to-head historySkott K. ๐บ๐ธ - Schoppe E. ๐บ๐ธ
Match history
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The Skott K. ๐บ๐ธ - Schoppe E. ๐บ๐ธ 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