Match analytics

Elizabeth Mandlik vs Vivian Wolff · Match odds & ELO prediction

Austin • Hard • Nov 4, 2025 • 6:00 PM

Hard

Final score

2 - 0

Winner Elizabeth Mandlik

Key insights

Player performance profile

Elizabeth Mandlik

HARDSmall sample

0% · 01 on hard

Games won (last 10)

45%

10 matches tracked

Player Skillset

Based on ~1,068 points across 7 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Vulnerable
-2.99% Pctl
Return strengthReturn strength (Player return win % - tour average return win %) scaled by sample size
Solid
0.061% Pctl
Pressure IndexPressure Index (Break point performance - baseline point performance) with a small adjustment for tiebreak results
Solid
+1.562% Pctl
Tiebreak win %
Insufficient data

Percentiles compare against tour-level players in TennisTrove.

Vivian Wolff

HARD

50% · 1111 on hard

CLAY

69% · 188 on clay

Games won (last 10)

44%

5 matches tracked

Player Skillset

Based on ~93 points across 1 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Shaky
-1.029% Pctl
Return strengthReturn strength (Player return win % - tour average return win %) scaled by sample size
Vulnerable
-3.011% Pctl
Pressure IndexPressure Index (Break point performance - baseline point performance) with a small adjustment for tiebreak results
Shaky
-0.047% Pctl
Tiebreak win %
Insufficient data

Percentiles compare against tour-level players in TennisTrove.

Match Overview

Elizabeth Mandlik and Vivian Wolff are set to meet at the Austin on November 4, 2025 in a hard-court singles match. Mandlik enters with a 15–12 record on hard courts in 2025, while Wolff has posted a 11–11 mark on hard courts this season. Elo ratings suggest a modest statistical edge for Mandlik, but the gap is not overwhelming. In their head-to-head history, Mandlik leads 2–0 over Wolff, including a win in their most recent meeting.

In terms of recent singles results, Mandlik has gone 0–5 over his last 5 matches, while data for Wolff is more limited.