ATP - Singles: Monreal (Canada), hard1-y krughard03.08.2026 20:00 UTCFinished
03.08.2026 20:00 UTC1-y krugFinished
Michelsen AUSA
Seed 40
Struff J-LGermany
Seed 42
2:1
Odds
P11.34
71.1% BetBoom
P23.30
28.9% BetBoom
Stadium: IGA Stadium. Devyatyy kortCoverage: hard
PreviewStatisticsBroadcastComments
About the athletes
USACountryGermany
-Rating-
21Age36
193Height (cm)193
79Weight (kg)92
PravshaHandPravsha
40Seed42
hardCoveragehard
1H2H0
Form over the last year
Michelsen A
50%24 / 48
50% 24 / 48
Sintetika
no data
clay
6 iz 12
grass
0 iz 1
hard
18 iz 35
Struff J-L
46%16 / 35
46% 16 / 35
Sintetika
no data
clay
4 iz 9
grass
6 iz 9
hard
6 iz 17
Head-to-head history
2026
ATP - Singles: Monreal (Canada), hard
Michelsen A0
Struff J-L0
Michelsen A meet Struff J-L on August 3, 2026 in the ATP - Singles: Monreal (Canada), hard.
PrognozAI's Glicko-2 model gives the home side 70% to win. Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.
🎯 PropickAI prediction
High confidence
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1Michelsen A — 70%
Pure model vs market (1 · Michelsen A): model 57% · market 71%Δ −14 ppmodel estimates below the market
70%1
1 · Michelsen A ✓ Pick69.6%
market71%
2 · Struff J-L30.4%
market29%
Model estimate: win Michelsen A 69.6%, win Struff J-L 30.4%. Model favourite — Michelsen A.
Informational estimate, not a betting recommendation.
🤖AI agent prediction
Independent AI-agent assessment from our data (model, market line, form, H2H)
1Michelsen A (odds1.32)Score 2:1confidence 58%✓ outcome correct · exact score
•Mikelsen A
•🇺🇸 — Shtruff Ya-L
•🇩🇪 (tennis)
•Mikelsen A
•🇺🇸: forma PVVVV (4-1)
•Shtruff Ya-L
•🇩🇪: forma PVVVV (4-1)
•Model backs Mikelsen A
•🇺🇸: probability 58% vs 76% on the line (odds 1.32)
•no edge over the line (-18 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
*
Math-model prediction
AI match prediction Michelsen A - Struff J-L August 3, 2026
Tennis math model
Based on the collected prematch data, the favourite looks like Michelsen A.
Line favourite market consensus: Michelsen A. We cross-check with Glicko and the math model below.
Win odds (market consensus): 1 1.34 / 2 3.30
Glicko: Michelsen A 69.6% / Struff J-L 30.4%
%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner
bookmaker margin 5.4%
3 books
1 ✓ Pick71.0%
229.0%
Odds source: consensus of 3 books (Baltbet, Betcity, Leon). This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
⚔
Head-to-head and form stats
Head-to-head and form
Team form
Michelsen A
no data
Struff J-L
6-4LWLWLWLWWW
scored 1.7conceded 1.6
Head-to-head and recent form per sports statistics — for reference.
We mark in green only strong signals where the model passed our publication filter. The other rows are for audit and training.
OptionSignalPrediction / actualRating
Glicko-2: base favouriteAudit
tennis is audit-only for now: surface, serve/return and market are needed
Data: line, form, coverage, H2H
home - 69.6% fact: home
hit / ROI 34.0% / Brier 0.185 / LogLoss 0.362
Glicko-2: calibrated favouriteAudit
tennis is audit-only for now: surface, serve/return and market are needed
Data: line, form, coverage, H2H
home - 52.4% fact: home
hit / ROI 34.0% / Brier 0.454 / LogLoss 0.647
Market and Glicko
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.
OutcomeLineGlickoSignal
Michelsen A71.0%69.6%market and model agree
Struff J-L29.0%30.4%
1X2: 3 Bookies
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Tennis math model
P1 / P269.6% / 30.4%
probabilities
Rating1,776 / 1,639
Michelsen A / Struff J-L
RD123 / 146
rating uncertainty
r +/- 2RD1,529-2,022 / 1,348-1,930
strength interval
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 snapshot
1X2
23.27
market consensus · no value · model 30.4%
11.34
market consensus · no value · model 69.6%
Total
Over 21.51.83
market consensus · line only
Over 22.51.97
market consensus · line only
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Bookmaker line
Match markets
bookmaker line and markets
Handicap
Outcome
Baltbet
Betcity
Leon
1.8753.5%
1.9052.6%
1.7557.1%
1.9152.4%
1.9052.6%
2.0548.8%
Total
Outcome
Baltbet
Betcity
Leon
Over 21.5
—
—
1.8354.6%
Over 22.5
1.9750.8%
1.9451.6%
2.0050.0%
Under 21.5
—
—
1.9551.3%
Under 22.5
1.8255.0%
1.8653.8%
1.7955.9%
Outcome (1X2)
Outcome
Baltbet
Betcity
Leon
1.3474.6%
1.3474.6%
1.3375.2%
3.2530.8%
3.3030.3%
3.2530.8%
Match center
Michelsen A
D
02.08.2026Championat
Michelsen AKh. Khaume Munar Khaume Munar (Spain) 2 7 6 — R. Rinki Khidzikata (Australia) 0 6 3 1-y krug
0Wins
0Losses
-Sets won
-Sets lost
0%Win percentage
Struff J-L
DD
02.08.2026Championat
A. Adolfo Daniel Valekho (Paraguay) 0 3 SR Ts. Tszyunchen Shan Tszyunchen Shan (China) 2 6 1-y krugStruff J-L
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