Match analytics

Gabriella da Silva Fick vs Ayano Shimizu · Match odds & ELO prediction

WTA Hobart • Hard • Jan 10, 2026 • 3:10 AM

Hard

Final score

0 - 2

Winner Ayano Shimizu

Key insights

Player performance profile

Gabriella da Silva Fick

HARDSmall sample

0% · 01 on hard

Games won (last 10)

43%

2 matches tracked · limited sample

Player Skillset

Based on ~0 points across 0 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Shaky
0.044% 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
Shaky
0.048% Pctl
Tiebreak win %
Insufficient data

Percentiles compare against tour-level players in TennisTrove.

Ayano Shimizu

HARDSmall sample

67% · 21 on hard

Games won (last 10)

43%

9 matches tracked

Player Skillset

Based on ~158 points across 1 matches

Serve strengthServe strength (Player serve win % - tour average serve win %) scaled by sample size
Solid
0.959% 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
-1.335% Pctl
Tiebreak win %
Insufficient data

Percentiles compare against tour-level players in TennisTrove.

Match Overview

Gabriella da Silva Fick and Ayano Shimizu are set to meet at the WTA Hobart on January 10, 2026 in a hard-court singles match. Fick enters with a 0–1 record on hard courts in 2026, while Shimizu has posted a 2–1 mark on hard courts this season. Elo ratings suggest a modest statistical edge for Shimizu, but the gap is not overwhelming. In their head-to-head history, Shimizu leads 2–0 over Fick, including a win in their most recent meeting.

In terms of recent singles results, Shimizu has gone 2–3 over his last 5 matches, while data for Fick is more limited.