🎾 WTA - Roland GarrosParis, France

Thursday, May 21, 2026, 12:00 PM UTC

Game starts in 16h 4m

Ashlyn Krueger

Ashlyn Krueger

-244

vs

Mary Stoiana

Mary Stoiana

+164

via Velobet

Mary Stoiana Win

AI Confidence: 60%

Winner: Mary Stoiana Win (60%)

Spread: Stoiana -1.5 games (-1.5) (68%)

Total: Over 22.5 (75%)

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Ashlyn Krueger vs Mary Stoiana Prediction

This WTA Roland Garros qualifying match pits Ashlyn Krueger (ranked 107) against Mary Stoiana (ranked 146). While Krueger has a higher ranking and career-high, Stoiana comes in with significantly better recent form and a stronger season record. The match is expected to be competitive, likely going to three sets.

AI-powered prediction

Ashlyn Krueger host Mary Stoiana at Paris, France on Thursday, part of the 2026 WTA - Roland Garros season. ATP/WTA rankings, surface form, and head-to-head record are factored into the model alongside the prediction below.

ATS PREDICTION

Mary Stoiana Win

Predicted: 1-2

60%

Ashlyn Krueger, ranked 107, holds a higher current ranking than Mary Stoiana (146), and a significantly higher career-high of 29. However, Stoiana enters this match with superior recent form, boasting a 60% win rate in her last 10 matches and a strong 23-13 season record, compared to Krueger's 40% win rate and 9-12 record. Both players secured wins in their first Roland Garros qualifying matches on clay, indicating some comfort on the surface. Given Stoiana's current momentum and better season performance, she is favored to win, likely in a competitive three-set encounter.

SPREAD PREDICTION

Stoiana -1.5 games (-1.5)

68%

Mary Stoiana's stronger recent form and overall season record suggest she has the edge to win this match. While Ashlyn Krueger's higher ranking indicates her potential, Stoiana's current momentum should allow her to secure enough games to cover a modest -1.5 game spread, even in a three-set victory where game counts can be tight.

TOTAL PREDICTION

Over 22.5

75%

With a predicted score of 2-1 in favor of Stoiana, this match is expected to be a competitive three-setter. Such a scenario almost invariably leads to a higher total game count, making the 'over 22.5 games' pick a strong likelihood, as both players are expected to win at least one set and push the game count higher.

Ashlyn Krueger vs Mary Stoiana Key Stats (AI)

Ashlyn KruegerStatMary Stoiana
40% AI Win Probability60%
1 Predicted Score2
Stoiana -1.5 games… Spread68% conf
Over 22.5 Total75% conf
70% Data Quality Score

No recent head-to-head meetings on record for this matchup.

🏟️

Paris, France

Home Ground

12:00 PM UTC

Thursday, May 21

Matchday kickoff

🎾

WTA - Roland Garros

Tennis

Betting Angles Ashlyn Krueger vs Mary Stoiana

💰 Sharp Money

Unknown Line movement: Unknown

Risk Assessment

Specific risk factors for this matchup are evaluated as data populates. Whatever the model output, factor your own bankroll discipline — single-match outcomes are noisy by nature, and even high-confidence picks miss often enough to matter.

Data Quality Score

70%

Data quality: Good, with specific player rankings, recent form, and season records provided. Surface information is also clear.

Limitations

  • No head-to-head record available for direct comparison.
  • No specific clay court win percentages for the current season were provided.
  • No betting odds were available to inform market sentiment.

This prediction is for informational and entertainment purposes only. It does not constitute betting advice.

Ashlyn Krueger vs Mary Stoiana FAQ

Ashlyn Krueger's higher ranking (107 vs 146) and significantly higher career-high (29) suggest greater overall potential and experience at a higher level, but Mary Stoiana's current form indicates she is playing at a very high level right now.

Our tennis predictions weigh ATP/WTA rankings, surface-specific records, recent form, head-to-head, and format. Best-of-five Grand Slam mismatches can reach 80%+ confidence; early-round best-of-three matches between similar-ranked players stay in the 52-60% band. See the full methodology and other matches on our AI Tennis Predictions hub.