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WTA - Singles: Toronto (Canada) - Qualifying, hard
WTA - Singles: Toronto (Canada) - Qualifying, hard

Joint M - Grubor A. πŸ‡¨πŸ‡¦

Tennis WTA - Singles: Toronto (Canada) - Qualifying, hard
WTA - Singles: Toronto (Canada) - Qualifying, hard hard 01.08.2026 20:00 UTC Finished
01.08.2026 20:00 UTC Finished
Joint M
Joint M
G
Grubor A. πŸ‡¨πŸ‡¦
2:1
Odds
P1 1.02 94.0% BetBoom
P2 16.00 6.0% BetBoom
Coverage: hard
Preview Statistics Broadcast Comments

About the athletes

- Country -
- Rating -
- Age -
- Height (cm) -
- Weight (kg) -
- Hand -
- Seed -
hard Coverage hard
0 H2H 0

Joint M go head-to-head with Grubor A. πŸ‡¨πŸ‡¦ on August 1, 2026 in the WTA - Singles: Toronto (Canada) - Qualifying, hard.

PrognozAI's Glicko-2 model gives the home side 90% to win. Read on for detailed stats, previous meetings, the bookmaker line and the PrognozAI neural-network verdict.

🎯 PropickAI prediction
High confidence

Our model prediction (Glicko-2)

PropickAI model Β· comparison with the market line (no margin)

1 Joint M β€” 90%

Pure model vs market (1 Β· Joint M): model 56% Β· market 93% Ξ” βˆ’37 pp model estimates below the market

1 Β· Joint M ✓ Pick90.2%
market93%
2 Β· Grubor A. πŸ‡¨πŸ‡¦9.8%
market7%

Model estimate: win Joint M 90.2%, win Grubor A. πŸ‡¨πŸ‡¦ 9.8%. Model favourite β€” Joint M.

Informational estimate, not a betting recommendation.

Math-model prediction

AI match prediction Joint M - Grubor A. πŸ‡¨πŸ‡¦ August 1, 2026

Tennis math model

Based on the collected prematch data, the favourite looks like Joint M.

Line favourite market consensus: Joint M. We cross-check with Glicko and the math model below.
  • Win odds (market consensus): 1 1.02 / 2 14.50
  • Glicko: Joint M 90.2% / Grubor A. πŸ‡¨πŸ‡¦ 9.8%

For reference

Fair probability (no margin)

Probability excluding the bookmaker margin β€” for reference, not a betting recommendation.
Winner bookmaker margin 4.9%
1 ✓ Pick 93.4%
2 6.6%

Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds β€” reference information, not a prediction or a betting recommendation.

Head-to-head and form stats

Head-to-head and form

Team form

Joint M
2-8LLLLLWLLLW
scored 0.7conceded 1.7
Grubor A. πŸ‡¨πŸ‡¦
4-6WLLLWWLLWL
scored 1.0conceded 1.6

Head-to-head and recent form per sports statistics β€” for reference.

Match center
Start 01.08.2026 20:00 UTC
Market 1 93.4% @ 1.02 / 2 6.6% @ 14.50
Coverage hard
Form 6 matches
Match center

Joint M - Grubor A. πŸ‡¨πŸ‡¦

V baze uchteny nedavnie matchi oboikh uchastnikov.

Form 5/5 recent games
H2H 0 head-to-head matches
Market 2 model / bookmakers
Flashscore match data source checked
Odds match data source checked
Line depth match data source checked
Present in data
Market Form Match Participants Line Overview
More needed
H2H Championat, Flashscore
Tournament Championat, Flashscore
Movement Line history
Post-match / PropickAI database
Score 2:1
Events 0
Statistics 0
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.

Option Signal Prediction / actual Rating
Glicko-2: base favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage home - 90.2% fact: home hit / ROI 2.0% / Brier 0.019 / LogLoss 0.104
Glicko-2: calibrated favourite Audit tennis is audit-only for now: surface, serve/return and market are needed Data: line, form, coverage home - 54.8% fact: home hit / ROI 2.0% / Brier 0.408 / LogLoss 0.601
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.

Outcome Line Glicko Signal
Joint M 94.0% 90.2% market and model agree
Grubor A. πŸ‡¨πŸ‡¦ 6.0% 9.8%
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 / P2 90.2% / 9.8% probabilities
Rating 1,489 / 1,398 Joint M / Grubor A. πŸ‡¨πŸ‡¦
RD 201 / 218 rating uncertainty
r +/- 2RD 1,086-1,892 / 963-1,834 strength interval
HFA: 0 HFA mu: 0.000 MoV: on N: N=1 P: two_way_glicko2_expected_score

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 snapshot
1X2
1 1.02 market consensus Β· no value Β· model 90.2%
Total
Over 16.5 1.85 market consensus Β· line only
Under 16.5 1.90 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 Baltbet Betcity Leon
1.79 55.9% 1.86 53.8% 1.81 55.3%
1.94 51.6% 1.95 51.3% 1.93 51.8%

Total

Outcome Baltbet Betcity Leon
Over 16.5 1.84 54.4% 1.87 53.5% 1.84 54.4%
Under 16.5 1.88 53.2% 1.93 51.8% 1.90 52.6%

Outcome (1X2)

Outcome Baltbet Betcity Leon
1.02 98.0% 1.01 99.0%
16.00 6.3% 14.50 6.9% 11.00 9.1%
Match center
Joint M
L W L W L
30.07 13:00 UTC+0 WTA - Singles: Memphis πŸ‡ΊπŸ‡Έ, hard
Joint M 1:2 Liutova K. (World)Liutova K. (World)
27.07 13:00 UTC+0 WTA - Singles: Memphis πŸ‡ΊπŸ‡Έ, hard
Joint M 2:0 Osigve U. πŸ‡ΊπŸ‡ΈOsigve U. πŸ‡ΊπŸ‡Έ
22.07 10:00 UTC+0 WTA - Singles: Livesport Prague Open (Czechia), hard
Joint M 1:2 Valentova T. πŸ‡¨πŸ‡ΏValentova T. πŸ‡¨πŸ‡Ώ
21.07 08:30 UTC+0 WTA - Singles: Livesport Prague Open (Czechia), hard
Joint M 2:1 Samson L. πŸ‡¨πŸ‡ΏSamson L. πŸ‡¨πŸ‡Ώ
02.07 10:00 UTC+0 WTA - Singles: Uimbldon (Velikobritaniya), grass
Joint M 1:2 Eala A. (Fil)Eala A. (Fil)
2 Wins
3 Losses
1.4 Sets won
1.4 Sets lost
40% Win percentage
Grubor A. πŸ‡¨πŸ‡¦
W L L L W
23.07 16:35 UTC+0 ITF Women - Singles: W35 Saskatoon (Canada), hard
Grubor A. πŸ‡¨πŸ‡¦ 2:0 Bhopal A. πŸ‡¨πŸ‡¦
23.07 16:00 UTC+0 ITF Women - Singles: W35 Saskatoon (Canada), hard
Grubor A. πŸ‡¨πŸ‡¦ 1:2 Ahn A. πŸ‡ΊπŸ‡Έ
16.07 16:45 UTC+0 ITF Women - Singles: W75 Granby (Canada), hard
Grubor A. πŸ‡¨πŸ‡¦ 0:2 Kross K. πŸ‡¨πŸ‡¦
10.07 12:00 UTC+0 ITF Women - Singles: W50 Columbus, OH πŸ‡ΊπŸ‡Έ, hard
Grubor A. πŸ‡¨πŸ‡¦ 0:2 Khosogi S. πŸ‡―πŸ‡΅
09.07 12:00 UTC+0 ITF Women - Singles: W50 Columbus, OH πŸ‡ΊπŸ‡Έ, hard
Grubor A. πŸ‡¨πŸ‡¦ 2:1 Abanda F. πŸ‡¨πŸ‡¦
2 Wins
3 Losses
1.0 Sets won
1.4 Sets lost
40% Win percentage