Official NHA Assessment

Race 9: LUCKY FISH TURF LUCK CLASS 3 (F & M) (For Fillies & Mares. Benchmark at 60.0kg = 98)

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Line Horse
One Smart Cookie
Reference for assessment
Exact Matches
1 / 8
Calculated = Official
Close Matches
3 / 8
Within 2 points
Significant Diffs
3 / 8
More than 5 points
Detailed Assessment
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Pos  Horse                Age  Weight  Fin  Lengths  WFA   Pre   Race Rating  New   Adj  
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1    Fiery Rose           2    55.0    1    0.00     1.5   90    87           87    -3
2    Tara Star            4    58.0    2    1.10     0.0   96    96           96    +0
3    Tulip Fields         2    60.0    3    1.15     1.5   100   97           97    -3
4    One Smart Cookie     4    57.5    4    3.15     0.0   95    95           95    +0
5    Tladi Mothwana       3    58.0    5    5.25     2.5   96    91           91    -5
6    Saragossa Cat (ARG)  2    51.0    6    9.95     1.5   87    79           79    -8
7    Querari Rose         3    53.5    7    99.92    2.5   84    82           82    -2
99   Dark Matter          2    54.5    99   0.00     1.5   -     86           86    +0
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Horse-by-Horse Comparison

Pos Horse Pre-Rating Official New Calculated Discrepancy WFA (kg) Line Horse Calculation
1 Fiery Rose 90 96 87 +9 1.5 -
2 Tara Star 96 98 96 +2 0.0 -
3 Tulip Fields 100 102 97 +5 1.5 -
4 One Smart Cookie Line 95 95 95 ✓ Match 0.0
5 Tladi Mothwana 96 96 91 +5 2.5 -
6 Saragossa Cat (ARG) 87 87 79 +8 1.5 -
7 Querari Rose 84 84 82 +2 2.5 -
99 Dark Matter - 92 86 +6 1.5 -
Assessment Methodology
Calculation Steps:
  1. Identify Line Horse - consistent performer used as reference
  2. Calculate WFA Allowance based on age, distance, and month
  3. Apply Drag Adjustment for beaten margin
  4. Calculate Actual Weight Performance:
    Weight - Drag - WFA
  5. Compare to Line Horse to determine race rating
  6. Apply special rules (maiden caps, layoff allowance)
Key Formulas:
  • Drag Effect: Varies by distance (see Benchmarks page)
  • 1 length ≈ 1kg at 1 mile (1600m)
  • WFA Scale: Based on Admiral Rous's 1855 table
  • Rating Points: 1kg = 2 rating points