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WTA - Singles: Toronto (Canada) - Qualifying, hard
01.08.2026 21:30 UTC
Sawangkaew M - Sramkova R
Sawangkaew M take on Sramkova R on August 1, 2026 in the WTA - Singles: Toronto (Canada) - Qualifying, hard.
Read on for detailed stats, previous meetings, the bookmaker line and the PrognozAI neural-network verdict.
🎯 PropickAI prediction
Medium confidence
Our model prediction (Glicko-2)
PropickAI model · comparison with the market line (no margin)
1Sawangkaew M — 59%
Pure model vs market (1 · Sawangkaew M): model 62% · market 59%Δ +3 ppmodel estimates above the market
59%1
1 · Sawangkaew M ✓ Pick58.9%
market59%
2 · Sramkova R41.1%
market41%
Model estimate: win Sawangkaew M 58.9%, win Sramkova R 41.1%. Model favourite — Sawangkaew M.
Informational estimate, not a betting recommendation.
🤖AI agent prediction
Independent AI-agent assessment from our data (model, market line, form, H2H)
1Sawangkaew M (odds1.48)Score 2:1confidence 64%
•Savangkaev M
•🇹🇭 — Shramkova R
•🇸🇰 (tennis)
•Savangkaev M
•🇹🇭: forma PVVVV (4-1)
•Shramkova R
•🇸🇰: forma PVPVV (3-2)
•Model backs Savangkaev M
•🇹🇭: probability 64% vs 68% on the line (odds 1.48)
•no edge over the line (-4 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
*
Math-model prediction
AI match prediction Sawangkaew M - Sramkova R August 1, 2026
Tennis math model
The summary is built from our prematch context: line, form, lineups and Glicko.
Line favourite market consensus: Sawangkaew M. We cross-check with Glicko and the math model below.
Win odds (market consensus): 1 1.62 / 2 2.30
%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner
bookmaker margin 5.2%
1 ✓ Pick58.7%
241.3%
Odds source: market consensus. 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
Sawangkaew M
8-2WWWLLWWWWW
scored 1.6conceded 0.8
Sramkova R
no data
Head-to-head and recent form per sports statistics — for reference.
TennisWTA - Singles: Toronto (Canada) - Qualifying, hard
WTA - Singles: Toronto (Canada) - Qualifying, hardhard01.08.2026 21:30 UTCNot started
01.08.2026 21:30 UTCNot started
Sawangkaew M
Sramkova R
-:-
Odds
P11.62
58.7% BetBoom
P22.30
41.3% BetBoom
Coverage: hard
PreviewStatisticsBroadcastComments
About the athletes
-Country-
-Rating-
-Age-
-Height (cm)-
-Weight (kg)-
-Hand-
-Seed-
hardCoveragehard
0H2H0
Match center
Start01.08.2026 21:30 UTC
Market1 58.7% @ 1.62 / 2 41.3% @ 2.30
Coveragehard
Form6 matches
Match center
Sawangkaew M - Sramkova R
V baze uchteny nedavnie matchi oboikh uchastnikov.
Form5/5
recent games
H2H0
head-to-head matches
Market2
model / bookmakers
Flashscorematch data
source checked
Oddsmatch data
source checked
Line depthmatch data
source checked
Present in data
MarketFormMatchParticipantsLineOverview
More needed
H2HChampionat, Flashscore
TournamentChampionat, Flashscore
MovementLine history
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
Sawangkaew M58.6%58.9%market and model agree
Sramkova R41.4%41.1%
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Tennis math model
P1 / P258.9% / 41.1%
probabilities
Rating1,773 / 1,474
Sawangkaew M / Sramkova R
RD129 / 207
rating uncertainty
r +/- 2RD1,516-2,030 / 1,059-1,889
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
22.26
market consensus · no value · model 41.1%
11.60
market consensus · no value · model 58.9%
Total
Over 21.51.91
market consensus · line only
Under 21.51.85
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
1.8454.4%
1.9052.6%
1.8354.6%
1.9750.8%
1.9850.5%
1.9850.5%
1.8853.2%
1.9052.6%
1.9152.4%
1.7656.8%
1.8255.0%
1.7756.5%
Total
Outcome
Baltbet
Betcity
Leon
Over 21.5
1.9152.4%
1.9052.6%
1.9152.4%
Under 21.5
1.8155.3%
1.9052.6%
1.8354.6%
Outcome (1X2)
Outcome
Baltbet
Betcity
Leon
1.5962.9%
1.6261.7%
1.5863.3%
2.2544.4%
2.3043.5%
2.2444.6%
Match center
Sawangkaew M
LWWWW
31.07 19:30 UTC+0Challenger Women - Singles: Vancouver (Canada), hard
Sawangkaew M1:2Preston T. 🇦🇺
30.07 17:00 UTC+0Challenger Women - Singles: Vancouver (Canada), hard
Sawangkaew M2:0Dzhons E. 🇦🇺
29.07 18:30 UTC+0Challenger Women - Singles: Vancouver (Canada), hard
Sawangkaew M2:1Khibino N. 🇯🇵
28.07 17:00 UTC+0Challenger Women - Singles: Vancouver (Canada), hard
Sawangkaew M2:0Lyan E.-Sch. 🇹🇼
22.07 13:00 UTC+0ITF Women - Singles: W100 Evansville, IN 🇺🇸, hard
Sawangkaew M2:0Saito S. 🇯🇵
4Wins
1Losses
1.8Sets won
0.6Sets lost
80%Win percentage
Sramkova R
LWLWW
27.07 21:10 UTC+0WTA - Singles: Vashington 🇺🇸, hard
Sramkova R0:2Tjen J. 🇮🇩
25.07 16:00 UTC+0WTA - Singles: Vashington 🇺🇸 - Qualifying, hard
Sramkova R2:0Ansari K. 🇺🇸
25.05 09:00 UTC+0WTA - Singles: Otkrytyy Championship France (France), clay
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Preston T. 🇦🇺
Dzhons E. 🇦🇺
Khibino N. 🇯🇵
Saito S. 🇯🇵
Tjen J. 🇮🇩
Graber D. 🇦🇹
Karle M. L. 🇦🇷