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Challenger Women - Singles: Warsaw (Poland), hard
02.08.2026 08:00 UTC
Avdeeva J - Noha Akugue N
Avdeeva J go head-to-head with Noha Akugue N on August 2, 2026 in the Challenger Women - Singles: Warsaw (Poland), hard.
Scroll down for team stats, head-to-head record, odds and the PrognozAI AI pick.
🎯 PropickAI prediction
Low confidence
Our model prediction (Glicko-2)
2Noha Akugue N — 58%
Pure model vs market (2 · Noha Akugue N): model 42% · market 60%Δ −18 ppmodel estimates below the market
58%2
1 · Avdeeva J42.1%
2 · Noha Akugue N57.9%
Model estimate: win Avdeeva J 42.1%, win Noha Akugue N 57.9%. Model favourite — Noha Akugue N.
Informational estimate, not a betting recommendation.
🤖AI agent prediction
Independent AI-agent assessment from our data (model, market line, form, H2H)
2Noha Akugue N (odds1.55)Score 1:2confidence 58%
•Avdeeva Yu
•(World) — Nokha Akuge N
•🇩🇪 (tennis)
•Avdeeva Yu
•(World): forma PPPVV (2-3)
•Nokha Akuge N
•🇩🇪: forma PVPVV (3-2)
•Model backs Nokha Akuge N
•🇩🇪: probability 58% vs 64% on the line (odds 1.55)
•no edge over the line (-6 pp) — informational only.
Analytical AI-agent assessment, not a betting recommendation.
*
Math-model prediction
AI match prediction Avdeeva J - Noha Akugue N August 2, 2026
Tennis math model
The summary is built from our prematch context: line, form, lineups and Glicko.
Line favourite market consensus: Noha Akugue N. We cross-check with Glicko and the math model below.
Win odds (market consensus): 1 2.36 / 2 1.56
%
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.
Winner
bookmaker margin 6.5%
139.8%
260.2%
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
Avdeeva J
no data
Noha Akugue N
4-6LLLWLWWLWL
scored 0.9conceded 1.2
Head-to-head and recent form per sports statistics — for reference.
TennisChallenger Women - Singles: Warsaw (Poland), hard
Challenger Women - Singles: Warsaw (Poland), hardhard02.08.2026 08:00 UTCNot started
02.08.2026 08:00 UTCNot started
Avdeeva J
Noha Akugue N
-:-
Odds
P12.36
39.8% BetBoom
P21.56
60.2% BetBoom
Coverage: hard
PreviewStatisticsBroadcastComments
About the athletes
-Country-
-Rating-
-Age-
-Height (cm)-
-Weight (kg)-
-Hand-
-Seed-
hardCoveragehard
0H2H0
Match center
Start02.08.2026 08:00 UTC
Market1 39.8% @ 2.36 / 2 60.2% @ 1.56
Coveragehard
Form6 matches
Match center
Avdeeva J - Noha Akugue N
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
Avdeeva J40.4%42.1%
Noha Akugue N59.6%57.9%market and model agree
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Tennis math model
P1 / P242.1% / 57.9%
probabilities
Rating1,662 / 1,518
Avdeeva J / Noha Akugue N
RD162 / 137
rating uncertainty
r +/- 2RD1,339-1,986 / 1,244-1,793
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
21.56
market consensus · no value · model 57.9%
12.30
market consensus · no value · model 42.1%
Total
Over 211.80
market consensus · line only
Over 21.51.94
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.
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Nimayer Yu. 🇩🇪
Feistel G. 🇵🇱
Vedder E. 🇳🇱
Bondar A. 🇭🇺
Shtayner V. 🇩🇪
Dzhons F. 🇬🇧
Astakhova D. (World)