🎾 WTA - Roland GarrosParis, France

Thursday, May 21, 2026, 9:00 AM UTC

Game starts in 13h 6m

Maja Chwalinska

Maja Chwalinska

-333

vs

Suzan Lamens

Suzan Lamens

+212

via Velobet

Maja Chwalinska Win

AI Confidence: 68%

Winner: Maja Chwalinska Win (68%)

Spread: Chwalinska -4.5 games (-4.5) (85%)

Total: Under 20.5 (78%)

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Maja Chwalinska vs Suzan Lamens Prediction

Maja Chwalinska is strongly favored to win her match against Suzan Lamens at Roland Garros. Her superior ranking, excellent recent form, strong clay court record, and dominant head-to-head history all point towards a straight-sets victory.

AI-powered prediction

Maja Chwalinska host Suzan Lamens 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

Maja Chwalinska Win

Predicted: 2-0

68%

Maja Chwalinska is the clear favorite in this encounter, boasting a higher WTA ranking (116 vs 129) and significantly better recent form (8-2 in last 10 matches compared to Lamens' 5-5). Her career clay court record is superior (69.2% win rate vs 59.8%), and her 2026 clay performance is much stronger (12-5 vs 4-5). Furthermore, Chwalinska holds a dominant 1-0 head-to-head lead, having won their only previous match 6-1, 6-2, suggesting a comfortable victory on her preferred surface.

SPREAD PREDICTION

Chwalinska -4.5 games (-4.5)

85%

Given Maja Chwalinska's dominant 6-1, 6-2 victory in their only prior meeting and her current strong form, especially on clay, she is well-positioned to cover a -4.5 game spread. Her superior clay court record and Lamens' inconsistent 2026 season on this surface further support a comfortable win margin for Chwalinska.

TOTAL PREDICTION

Under 20.5

78%

Considering Chwalinska's strong form, dominant head-to-head record (6-1, 6-2), and Lamens' struggles on clay this season, a straight-sets victory for Chwalinska with relatively few games is anticipated. This suggests the total number of games will likely fall under 20.5, as seen in their previous encounter.

Maja Chwalinska vs Suzan Lamens Key Stats (AI)

Maja ChwalinskaStatSuzan Lamens
68% AI Win Probability32%
2 Predicted Score0
Chwalinska -4.5 ga… Spread85% conf
Under 20.5 Total78% conf
87% Data Quality Score

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

🏟️

Paris, France

Home Ground

9:00 AM UTC

Thursday, May 21

Matchday kickoff

🎾

WTA - Roland Garros

Tennis

Betting Angles Maja Chwalinska vs Suzan Lamens

💰 Sharp Money

Likely to be heavily on Maja Chwalinska, given her superior form and H2H record. Line movement: Expected lines would favor Chwalinska significantly, and any movement would likely further shorten her odds.

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

87%

Data quality: Good, with specific player rankings, recent form, surface records, and head-to-head data provided.

Limitations

  • No live betting odds were available for analysis.
  • No detailed tournament-specific statistics beyond win/loss records at Roland Garros.
  • Injury information is limited to 'no current concerns' for Lamens and Chwalinska having played after a previous retirement.

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

Maja Chwalinska vs Suzan Lamens FAQ

Maja Chwalinska is in strong form, with an 8-2 record in her last 10 matches and a 2026 season record of 22 wins and 9 losses. She has also secured two wins at Roland Garros already.

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.