Wagga R7

16:00Riverina Refrigeration (Bm58)
1400mBenchmark 58Rail: +8m
Races12345678

Early previewTomorrow's fields, barriers and stats, published 5 July 14:08 AEST. Final scratchings, going, model picks and race commentary land race morning (~10am AEST) — runners shown here may scratch before racing.

Early model rankings — previewupdated race morning · not final
Early model — previewEarly predictions — these WILL MOST LIKELY change with final scratchings, jockey changes and track condition updatesEntropy3.47top 3
Ranked 1st
11. Taluk
Pierre Boudvillain (2)
Ranked 2nd
1. A Book Of Days
Glenn Cahill (3)
Ranked 3rd
4. Dreamstone
Ella Bent (5)
Predicted speed mapback → finish →
Backmarkers1
settle 11+
11 Taluk(2)
Midfield6
settle 7–10
6 Sorry Sunshine(4)
15 Apple Cider(7)
13 Boy From Tennessee(8)
3 Cooranga(9)
14 Theo's Choice(10)
10 Midnight Affair(12)
On-pace6
settle 3–6
9 Bulla Vinaka(1)
1 A Book Of Days(3)
4 Dreamstone(5)
7 Heart Balm(6)
2 Devine Outcast(11)
8 Spring Blossom(13)
Leaders0
pushing for the lead

Historical overview

Across the 36 sampled runnings of 1400m at Wagga: Leaders (settle 1–3) — 13 of 36 winners (36.1% of winners, 14.6% strike, 1.19 A/E). From the gates, Middle (5–9) — 15 of 36 winners (41.7% of winners, 8.9% strike, 0.83 A/E).

Today's going is not yet confirmed, so no going-specific split is shown — the broad sample above carries the read until race morning.

Market history at this trip: odds-on favourites are 1 from 6 (16.7% strike, 0.28 A/E); roughies (>$10) supply 27.8% of winners.

Historical leans

  • Leaders (settle 1–3) is the strongest settle band on the sample
  • Middle (5–9) barriers lead the draw splits

Deterministic data read — figures restated from this track and trip's sampled runnings, no interpretation applied. The full speed-map read and model picks follow race morning after final scratchings.

This overview is generated automatically from real race data by the HoofMetrics data engine — it is not AI-written. If you have feedback, email hello@hoofmetrics.com.Generated by HoofMetrics data engine (deterministic).