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| Trap | Dog | Trainer | Class | Spd | Bnd | Suitability | Rating | Comp | Pred | SP | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| LR | 2LR | 3LR | 4LR | 5LR | 6LR | 7LR | 8LR | 9LR | 10LR | Trap | Track | Class | Dist | |||||||||||
| 1 | โถ Sehnsa Macd 3y 34 | - | 49 | 50 | 62 (6) | 57 (4) | 58 (3) | 58 (6) | 70 (4) | 72 (2) | 100 (1) | 85 (1) | 66 (2) | 100 (1) | 48 | 50 | - | 43 | 68 | 54 | 3 | 7/1 | ||
| 2 | โถ Fabulous Masieb 3y 32 | - | 8 | 9 | 73 (3) | 63 (4) | 83 (3) | 89 (2) | 66 (3) | 66 (2) | 61 (6) | 36 (3) | 74 (3) | 86 (1) | 37 | 33 | 17 | 17 | 71 | 44 | 2 | 4/1 | ||
| 3 | โถ Roanna Sharpb 3y 36 | - | 100 | 100 | 100 (1) | 91 (2) | 87 (1) | 70 (3) | 53 (6) | 62 (4) | 60 (5) | 82 (2) | 43 (1) | 56 (5) | 51 | 69 | 34 | 12 | 77 | 56 | 4 | 1/2F | ||
| 4 | โถ Romeo Aragond 3y 34 | - | 34 | 3 | 80 (4) | 80 (3) | 74 (3) | 84 (3) | 100 (1) | 100 (1) | 62 (4) | 96 (2) | 91 (2) | 92 (2) | 28 | 51 | 46 | 47 | 84 | 57 | 1 | 4/1 | ||
| 5 | โถ Fabulous Aurorab 4y 54 | - | 80 | 100 | 63 (3) | 58 (3) | 73 (1) | 59 (3) | 27 (3) | 29 (2) | 31 (1) | 25 (3) | 22 (5) | 55 (4) | 8 | 25 | - | - | 50 | 28 | 5 | 16/1 | ||
Speed Progress ยท Adjusted times at 712m ยท Fastest at top
Pre-race stats that explain the top 3 finishers
Pace Profile
Avg early pace vs closing speed from last 5 runs
| Dog | Early | Close | Style |
|---|---|---|---|
1Sehnsa Mac | 50 | 50 | All-Rounder |
2Fabulous Masie | 0 | 68 | Closer |
3Roanna Sharp | 100 | 0 | Fader |
4Romeo Aragon | 0 | 100 | Closer |
5Fabulous Aurora | 100 | 0 | Fader |
How consistent is each dog? Tight cluster = reliable, wide spread = volatile. Faster times on the left. Hover any dot for race details. Amber = troubled run.
Performance rating trend over last 10 races. Hover any dot for race details. Amber dots = troubled runs.
Historical success rate for dogs making the same grade move at this track.