Match analytics

Katarzyna Kawa vs Vivian Yang · Match odds & ELO prediction

WTA Billie Jean King Cup - World Group • Unknown • Nov 14, 2025 • 2:20 PM

Final score

2 - 0

Winner Katarzyna Kawa

Key insights

Player performance profile

Katarzyna Kawa

Games won (last 10)

39%

10 matches tracked

Player Skillset

Based on ~4,613 points across 30 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Vulnerable
-3.82% Pctl
Return strengthReturn strength (Player return win % - tour average return win %) scaled by sample size
Solid
0.467% Pctl
Pressure IndexPressure Index (Break point performance - baseline point performance) with a small adjustment for tiebreak results
Shaky
-2.028% Pctl
Tiebreak win %
Shaky
42%31% Pctl

Percentiles compare against tour-level players in TennisTrove.

Vivian Yang

HARD

50% · 44 on hard

Games won (last 10)

32%

3 matches tracked · limited sample

Player Skillset

Based on ~258 points across 2 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Vulnerable
-2.512% Pctl
Return strengthReturn strength (Player return win % - tour average return win %) scaled by sample size
Shaky
-1.432% Pctl
Pressure IndexPressure Index (Break point performance - baseline point performance) with a small adjustment for tiebreak results
Shaky
-0.445% Pctl
Tiebreak win %
Insufficient data

Percentiles compare against tour-level players in TennisTrove.

Match Overview

Katarzyna Kawa and Vivian Yang are set to meet at the WTA Billie Jean King Cup - World Group on November 14, 2025 in a tour-level singles match. Kawa enters with a 34–29 record on tour-level courts in 2025, while Yang has posted a 4–6 mark on tour-level courts this season. Elo ratings point to a clear statistical advantage for Kawa entering this matchup. In their head-to-head history, Kawa leads 1–0 over Yang, including a win in their most recent meeting.

In terms of recent singles results, Kawa has gone 1–4 over his last 5 matches, while data for Yang is more limited.