Historical stall-position analysis for seven-furlong handicaps at Catterick, with separate markers for faster and softer going.

Catterick 7f Draw Bias

Best place to be drawnNo strong overall bias
Race type3yo+ handicaps
Sample period2024–2025
Key influenceSmall sample size

What the pattern suggests

There doesn't appear to be any real bias here. High stalls have produced slightly more winners, but this is probably down to the small sample size more than anything else.

How to read the chart

Each mark represents a winning stall number plotted against the total number of runners. This reveals whether winners repeatedly cluster towards the low, middle or high side.

Good or fasterGood to soft or softer

The source chart covers horses aged three and older in handicaps from 2024–2025.

Stall-numbering note: Stalls at Catterick are always positioned on the inside of the track.

Historical winning-stall chart

WINNING STALL NUMBER



1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
No

of

R

U

N

N

E

R

S

8    1
 11
11 1
1











9 11 x    1111    11   1 
 11




3yr olds and older
H'caps Only
2024 - 2025


10  1     11 111 1    1   111  11





11  1  1   111   111  
 1 111  11




12   1   1  111 1  1  1111

1 111 111







13  1      11
   11  1  11  
     1 1






14  11          11 11 1   1  1  1  1    111






15  1  1

1  1           11     1





16  1     
      1  

        




17                     1        
 


18                  
   
 
 



19                      

     
   
20      
1  
     


 
 





8 2 5 10 1 3
<--Good or better -->
9 3 6 1 8 10


29
37

How to use the bias

  • Pace: identify where the likely early leaders are drawn and which runners can secure a good position.
  • Going: consider whether the inside or outside is riding faster on the day.
  • Field size: draw effects are often more meaningful when runners are crowded into larger fields.
  • Recent evidence: rail movements, watering and weather can alter the effective bias.

Conclusion

There doesn't appear to be any bias here, with high producing slightly more winners, but I think that this is down to the small sample size more than anything else.

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