Yes, a number of ways, however it depends on the nature of your query and what you want to do with the data afterwards.
If it is just one horse, then a query for the results of all that horses' races including lenghhs beaten would suffice.
For example,
mysql> select scheduled_time, course, distance_yards, distance_behind_winner, distance_won from historic_races_beta join historic_runners_beta using (race_id) where name="Frankel";
+---------------------+-------------+----------------+------------------------+--------------+
| scheduled_time | course | distance_yards | distance_behind_winner | distance_won |
+---------------------+-------------+----------------+------------------------+--------------+
| 2010-08-13 18:35:00 | Newmarket | 1760 | NULL | 0.50 |
| 2010-09-10 16:25:00 | Doncaster | 1540 | NULL | 13.00 |
| 2010-09-25 14:30:00 | Ascot | 1760 | NULL | 10.00 |
| 2010-10-16 14:25:00 | Newmarket | 1540 | NULL | 2.25 |
| 2011-04-16 15:10:00 | Newbury | 1540 | NULL | 4.00 |
| 2011-04-30 15:10:00 | Newmarket | 1760 | NULL | 6.00 |
| 2011-06-14 15:45:00 | Royal_Ascot | 1760 | NULL | 0.75 |
| 2011-07-27 15:10:00 | Goodwood | 1760 | NULL | 5.00 |
| 2011-10-15 15:35:00 | Ascot | 1760 | NULL | 4.00 |
| 2012-05-19 15:40:00 | Newbury | 1760 | NULL | 5.00 |
| 2012-06-19 14:30:00 | Royal_Ascot | 1760 | NULL | 11.00 |
| 2012-08-01 15:10:00 | Goodwood | 1760 | NULL | 6.00 |
| 2012-08-22 15:40:00 | York | 2200 | NULL | 7.00 |
| 2012-10-20 16:05:00 | Ascot | 2200 | NULL | 1.75 |
+---------------------+-------------+----------------+------------------------+--------------+
14 rows in set (2.47 sec)
In this case, since Frankel was never beaten, we have used distance_won, and all distance_beaten values are consequently NULL.
