Wagga R6

15:20Tooheys Plate (C1)
1600mClass 1Rail: +8m
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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 updatesEntropy3.2top 3
Ranked 1st
6. Mr Avery
Brodie Loy (11)
Ranked 2nd
13. My Mate Elvis
Cory Parish (4)
Ranked 3rd
8. Look Here
Pierre Boudvillain (7)
Predicted speed mapback → finish →
Backmarkers1
settle 11+
11 Oaklands Orchid(2)
Midfield6
settle 7–10
14 Broken Image(1)
13 My Mate Elvis(4)
10 Manzobeel(5)
1 Burning Issues(10)
6 Mr Avery(11)
3 Lantau Island(13)
On-pace5
settle 3–6
4 Perfectly Good(3)
2 Hammett(6)
8 Look Here(7)
12 Tennessir(8)
5 Tis No Man(12)
Leaders1
pushing for the lead
7 Russian Gangster(9)

Historical overview

Across the 28 sampled runnings of 1600m at Wagga: Leaders (settle 1–3) — 12 of 28 winners (42.9% of winners, 17.4% strike, 1.37 A/E). No winner in this sample settled 11+ back. From the gates, Middle (5–9) — 13 of 28 winners (46.4% of winners, 10.7% strike, 0.87 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 2 from 5 (40.0% strike, 0.68 A/E); roughies (>$10) supply 14.3% 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).