TennisITF Women - Singles: W35 Southaven, MS πΊπΈ, hard
ITF Women - Singles: W35 Southaven, MS πΊπΈ, hardhard04.08.2026 18:40 UTCFinished
04.08.2026 18:40 UTCFinished
Sharma A
H
Herea C. A. π·π΄
0:2
Odds
P11.60
58.7% BetBoom
P22.27
41.3% BetBoom
Coverage: hard
PreviewStatisticsBroadcastComments
About the athletes
-Country-
-Rating-
-Age-
-Height (cm)-
-Weight (kg)-
-Hand-
-Seed-
hardCoveragehard
0H2H0
Sharma A go head-to-head with Herea C. A. π·π΄ on August 4, 2026 in the ITF Women - Singles: W35 Southaven, MS πΊπΈ, hard.
PrognozAI's Glicko-2 model gives the home side 57% to win. Full analysis β form, H2H, odds and the PrognozAI AI prediction β follows on this page.
π― PropickAI prediction
Low confidence
Our model prediction (Glicko-2)
1Sharma A β 57%
Pure model vs market (1 Β· Sharma A): model 46% Β· market 59%Ξ β13 ppmodel estimates below the market
57%1
1 Β· Sharma A57.4%
2 Β· Herea C. A. π·π΄42.6%
Model estimate: win Sharma A 57.4%, win Herea C. A. π·π΄ 42.6%. Model favourite β Sharma A.
Informational estimate, not a betting recommendation.
π€AI agent prediction
Independent AI-agent assessment from our data (model, market line, form, H2H)
1Sharma A (odds1.58)Score 2:1confidence 57%β outcome missed
•A
•π·π΄ (tennis)
•Sharma A: forma P (0-1)
•Herea C
•A
•π·π΄: forma PPVPP (1-4)
•Model backs Sharma A: probability 57% vs 63% on the line (odds 1.58)
•no edge over the line (-6 pp) β informational only.
Analytical AI-agent assessment, not a betting recommendation.
*
Math-model prediction
AI match prediction Sharma A - Herea C. A. π·π΄ August 4, 2026
Tennis math model
Based on the collected prematch data, the favourite looks like Sharma A.
Line favourite market consensus: Sharma A. We cross-check with Glicko and the math model below.
Win odds (market consensus): 1 1.60 / 2 2.27
Glicko: Sharma A 57.4% / Herea C. A. π·π΄ 42.6%
%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin β for reference, not a betting recommendation.
Winner
bookmaker margin 8.1%
2 books Β· best price +1.3%
158.6%
241.4%
Odds source: consensus of 2 books (Baltbet, Betcity). This is the fair probability after removing the bookmaker margin from the odds β reference information, not a prediction or a betting recommendation.
Match center
Start04.08.2026 18:40 UTC
Market1 58.7% @ 1.60 / 2 41.3% @ 2.27
Coveragehard
Form4 matches
Match center
Sharma A - Herea C. A. π·π΄
V baze uchteny nedavnie matchi oboikh uchastnikov.
Form1/5
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
Post-match / PropickAI database
Score0:2
Events0
Statistics0
PropickAI check: math model and Glicko-2
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
home - 57.4% fact: away
missed / ROI -100.0% / Brier 0.658 / LogLoss 0.853
Glicko-2: calibrated favouriteAudit
tennis is audit-only for now: surface, serve/return and market are needed
Data: line, form, coverage
home - 50.9% fact: away
missed / ROI -100.0% / Brier 0.518 / LogLoss 0.711
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
Sharma A58.6%57.4%market and model agree
Herea C. A. π·π΄41.4%42.6%
1X2: 2 Bookies
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Tennis math model
P1 / P257.4% / 42.6%
probabilities
Rating1,363 / 1,526
Sharma A / Herea C. A. π·π΄
RD298 / 158
rating uncertainty
r +/- 2RD767-1,959 / 1,210-1,841
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
22.24
market consensus Β· no value Β· model 42.6%
11.58
market consensus Β· no value Β· model 57.4%
Total
Over 19.51.72
market consensus Β· line only
Under 19.52.00
market consensus Β· 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
Betcity
1.8055.6%
1.9052.6%
Total
Outcome
Betcity
Over 19.5
1.7258.1%
Under 19.5
2.0050.0%
Outcome (1X2)
Outcome
Baltbet
Betcity
1.6062.5%
1.5664.1%
2.2045.5%
2.2744.1%
Match center
Sharma A
L
25.07 15:00 UTC+0WTA. Memfis
Sharma A1:2Ito Aoy
0Wins
1Losses
1.0Sets won
2.0Sets lost
0%Win percentage
Herea C. A. π·π΄
LLWLL
30.07 12:00 UTC+0ITF Women - Singles: W35 Florence, SC πΊπΈ, hard
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Ito Aoy