EastbourneRound of 32FinishedGrass

Public match archive

Mackenzie Mcdonald vs Marco Cecchinato

Mackenzie Mcdonald closed this round of 32 at Eastbourne.

Result SnapshotNo Public Model Pick

Public Archive Layer

Mackenzie Mcdonald is listed as the winner.

This page is intentionally limited to match context, result data, and recent form. Full pre-match probability analysis is available only inside the credit-backed app.

Result

Mackenzie Mcdonald is listed as the winner.

Recent Form

Marco Cecchinato brings the hotter recent run

Credit Boundary

Exact pre-match probabilities stay inside the app

What Stands Out

  • Mackenzie Mcdonald is the archived winner for this match.
  • Mackenzie Mcdonald is 2-8 in the recent sample.
  • Marco Cecchinato is 5-5 in the recent sample.
Open Tournament PageChecking account…
Copy or share this public URL.

Unlock the full model view

Unlock the full model view

We are checking your account so we can send you to the right next step.

  • Exact win probability split for both players
  • Full model workflow beyond the public archive
  • Saved account history for review
Checking your accessVerify email and get 3 launch credits

What unlocks inside the app

This public page stays focused on result context. The app is where the exact probability split, full model workflow, and credit-backed history live.

Checking account…

1 credit unlocks one full model read. Exact probabilities only, never outcome guarantees.

Recent Form

How both players were arriving

Short rolling sample built from prior match facts.

Mackenzie Mcdonald

Last Five

LLWWL

Record

2-8

Win Rate

20%

Streak

Lost 2 straight

Marco Cecchinato

Last Five

LLWLW

Record

5-5

Win Rate

50%

Streak

Lost 2 straight

Essentials

Date

June 26, 2023

Round

Round of 32

Status

Finished

Score

Not listed

Winner

Mackenzie Mcdonald

Scheduled Start

Not listed

Match Context

Rank

Not listed

Seeds

Not listed

Court

Not listed

Last Update

Apr 11, 2026, 08:11 PM UTC

Before You Go

Keep exploring the archive or open the paid model workflow.

Tournament pages help visitors move across the draw fast. The model page explains why Umalytic keeps public match pages lightweight and the exact pre-match probability layer credit-backed.