Wizard Daily Report and Research - Wednesday, 15 November 2023.
- Location ABCDE - Filtered.
- Research - Trainers - Trainers Notebook.
Location ABCDE - Filtered
Yesterday, I reported on relative ratings performance, in the context of the various categories of racetracks in Australia. Today, I continue this discussion and look at relative performance/predictability from a different perspective.
Briefly, in our Wizard database we classify the racetracks in Australia on 5 levels:
A - Level 1 Sydney and Melbourne metropolitan tracks
B - Level 2 Metropolitan tracks in Brisbane, Adelaide, and Perth
C - Level 3 NSW and Victorian provincial tracks Gosford, Hawkesbury, Ballarat, Mornington
D - Level 4 NSW and Victorian country track and other states provincials, and Tasmania main tracks
E - Level 5 Country tracks in states other than NSW and Victoria
The results yesterday showed that, at least in terms of the Wizard relative weight ratings (Wrat), horses from the CDE tracks can be rated just as successfully as they can at metropolitan tracks.
Nevertheless, with respect to provincial and country racing, there is a widespread view that horses on the CDE tracks lack the quality of their metro counterparts and are therefore somehow less likely to be as assessable as their metro counterparts.
We can test this by analysing the runners at these different venues using the Wizard Plus FILTER. This is because, with the Wizard Plus filter there is more than a single quantitative rating used in the assessment.
The Wizard Plus FILTER examines and reports on key positives and negatives facing each runner in a race, and the Wizard rating (Wrat) is but one of more than a dozen factors considered.
The ten major factors covered in this FILTER analysis are Wrat, age, form cycle (runs from a spell), consistency, form last 12 months, jockey, trainer, running style, distance, and wet track form. We apply minimum requirements to each of these factors, and when a runner meets or exceeds that standard it earns a positive score, when it fails to meet the standard it earns a negative score.
For example, if a horse met the benchmark standard for 12 factors, but failed to meet the standard for 3 other factors, then it would get a Filter score of +9. If, on the other hand it scored negatively on 12 but did score positively on 3, then it would have a score of -9.
In total there are 15 factors that are examined, the 10 listed above, and five other factors judged as being of somewhat lesser importance for this analysis. Not all horses can be evaluated under all 15 factors, as some factors are not present in the horses form history. It is unusual for a score of more than 11 positives (+11) to be assigned to any individual horse.
So, what are the results across these different track categories when we look at how the top rated Wizard Plus FILTER horse has performed.
(Again, I have limited the analysis to those top rated Filter horses that started at odds of 10/1 or less. This keeps the analysis consistent with the many reports we include in Wizard Plus that use this odds restriction to eliminate statistical noise.)
The results for the 2022-2023 season:
A tracks 1683 runners 368 winners 22%
B tracks 1908 runners 462 winners 24%
C tracks 4210 runners 968 winners 23%
D tracks 6179 runners 1556 winners 25%
E tracks 2480 runners 641 winners 26%
Note: With the Filter analysis it is possible to have more than one top rated runner in a race, unlike with the Wrat where there can be only a single 100 pointer in any race. So, we can expect the Filter win strike rate to be lower.
It is clear that even on this more broadly based assessment, provincial and country racing can be just as reliably analysed.
(The Wizard Filter ratings and rankings can be found in the Wizard Plus Essentials report, and is also featured in the Wizard Plus Panel, and the Wizard Watch Morning Movers report.)
Wiz-Ed
Research - Trainers - Trainers Notebook.
Today the Wizard Trainers Notebook examines the top 10 trainers on Queensland metropolitan tracks in the 2022-2023 racing season.
For this notebook presentation I have broken down the overall stats into age groups (2yo, 3yo, 4yo and older) as there can be a difference in how these various age groups are prepared and perform. Also, I have limited the analysis to only those runs that were at odds of 10/1 or less, thereby removing the noise created by the longer odds runs which are really of no relevance in this exercise.
The results shown are only those where the trainer had an impact value of 1.3 or better, so a significant performance, and one can say under these conditions the stable has outperformed its expected result.
Note: It is possible to have more than one entry for a single factor. For example, the stable may have outperformed when backing up both within 8-14 days and 30-60 days.
Because the data is drawn from the Wizards national database, the form factors will be the same for trainers when they appear in the top trainer list in more than one state.
Wiz-Ed
Wizard - Trainer's Notebook - Trainers 1 to 10 in the Queensland 2022-2023 metropolitan premiership table
| 2yo | 3yo | 4yo and older |
Tony Gollan | days since last run 15-21 | days since last run 22-28 | days since last win 15-21 |
| finish last start: 1st | days since last win 8-14 | days since last win 22-28 |
| | days since last win 22-28 | previous beaten margin: 3.1-5.0 |
| | days since last win 30-60 | dist change: -300 to -101m |
| | days since last win 365+ | |
| | Field Strength +5.0 and higher | |
| | previous beaten margin: 3.1-5.0 | |
| | weight change: +3.0 to +4.5 | |
| | dist change: -300 to -101m | |
| | | |
Chris Waller | days since last run 30-179 | finish last start: 1st | days since last run 1-7 |
| runs from a spell: 1st up | previous win margin 3.1L plus | days since last win 8-21 |
| Field Strength +3.0 and higher | dist change: +301 to +500m | Field Strength +5.0 and higher |
| finish last start: 1st | | finish last start: 1st |
| | | previous win margin 3.1-5.0 |
| | | |
Robert Heathcote | days since last run 8-14 | days since last win 8-14 | days since last win 8-14 |
| finish last start: 1st | days since last win 15-21 | Field Strength +1.0 to +2.5 |
| runs from a spell: 1st up | Field Strength -0.5 to +0.5 | Field Strength +5.0 and higher |
| runs from a spell: 2nd up | Field Strength +3.0 to +4.5 | runs from a spell: 5th up |
| runs from a spell: 3rd up | finish last start: 1st | dist change: +301 to +500m |
| weight change: +0.0 to +2.5 | runs from a spell: 3rd up | |
| | runs from a spell: 5th up | |
| | weight change: -3.5 or more | |
| | | |
S O'Dea, M Hoysted | Insufficient data | days since last win 15-21 | days since last run 15-21 |
| | finish last start: 2nd or 3rd | days since last run 30-60 |
| | runs from a spell: 3rd up | days since last win 15-21 |
| | weight change: +0.0 to +2.5 | finish last start: 1st |
| | | runs from a spell: 5th up |
| | | runs from a spell: 6th up |
| | | weight change: +3.0 to +4.5 |
| | | |
Matthew Dunn | days since last run 8-14 | days since last run 180-365 | days since last win 8-14 |
| weight change: +0.0 to +2.5 | days since last win 8-28 | previous win margin 3.1-5.0 |
| | finish last start: 2nd or 3rd | weight change: +3.0 to +4.5 |
| | weight change: -3.5 or more | dist change: +301 to +500m |
| | weight change: +3.0 to +4.5 | |
| | | |
David Vandyke | Insufficient data | days since last run 30-60 | days since last run 61-179 |
| | days since last win 30-60 | days since last win 15-21 |
| | Field Strength -4.5 to -3.0 | days since last win 22-28 |
| | weight change: +3.0 to +4.5 | Field Strength -5.0 or more |
| | dist change: -300 to -101m | dist change: -300 to -101m |
| | | dist change: +301 to +500m |
| | | |
Annabel Neasham | days since last run 8-21 | days since last win 8-14 | days since last run 15-21 |
| finish last start: 1st | days since last win 180-365 | days since last win 15-21 |
| finish last start: 2nd or 3rd | Field Strength -4.5 to -1.0 | days since last win 30-60 |
| runs from a spell: 3rd up | runs from a spell: 1st up | finish last start: 2nd or 3rd |
| weight change: 0.0 to +2.5kg | | runs from a spell: 4th up |
| dist change: -100 to +100m | | dist change: +301 to +500m |
| | | |
Chris Munce | finish last start: 1st | days since last run 30-60 | days since last win 15-21 |
| finish last start: 2nd or 3rd | days since last win 15-21 | Field Strength -5.0 or more |
| previous beaten margin: 0.1-3.0 | days since last win 180-365 | Field Strength -2.5 to -1.0 |
| runs from spell: first race start | Field Strength +3.0 to +4.5 | runs from a spell: 5th up |
| weight change: -3.0 to -0.5 | finish last start: 1st | weight change: +5.0 or more |
| dist change: +101 to +300m | runs from a spell: 3rd up | |
| | | |
Kelly Schweida | days since last run 22-28 | days since last run 22-28 | days since last run 1-7 |
| Field Strength -2.5 to -1.0 | days since last run 30-60 | days since last run 180-365 |
| finish last start: 1st | days since last run 180-365 | days since last win 8-14 |
| previous beaten margin: 0.1-3.0 | days since last win 15-21 | finish last start: 1st |
| runs from a spell: 1st up | days since last win 22-28 | runs from a spell: 6th up |
| runs from a spell: 2nd up | Field Strength +3.0 to +4.5 | weight change: -3.5 or more |
| dist change: +101 to +300m | finish last start: 2nd or 3rd | |
| | previous beaten margin: 0.1-3.0 | |
| | weight change: -3.0 to -0.5 | |
| | dist change: -300 to -101m | |
| | | |
Barry Lockwood | Insufficient data | days since last run 61-179 | days since last run 22-28 |
| | finish last start: 2nd or 3rd | days since last run 61-179 |
| | runs from a spell: 1st up | days since last run 180-365 |
| | runs from a spell: 3rd up | days since last win 8-14 |
| | weight change: -3.0 to -0.5 | days since last win 180-365 |
| | | previous beaten margin: 0.1-3.0 |
| | | runs from a spell: 1st up |
| | | runs from a spell: 3rd up |
| | | dist change: -100 to +100m |