Results from the March Handicap of the 2023 series, held on 25/3/2023 are below. The keys and explanations of the columns are at the bottom of the page.
| HPos | Pos | Bib | Name | Category | Gender | AG Time | Time | ID | HTime | Improvement (Secs) | Imp% | Race# | Points | Details |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 10 | 6 | Ian Barber | V60 | Male | 21:45.4 | 27:54.4 | 21027BarberIan | 1327 | 22 | 1.66% | 3 | 100 | |
| 2 | 17 | 25 | Jo Allen | V50 | Female | 22:50.6 | 29:04.2 | 26396AllenJo | 1383 | 13 | 0.94% | 3 | 99 | |
| 3 | 11 | 38 | Celine Ledbury | V40 | Female | 22:56.1 | 28:00.5 | 28094LedburyCeline | 1376 | 0 | 0.00% | 3 | 98 | |
| 4 | 14 | 49 | Karen Miller | V50 | Female | 22:22.8 | 28:28.8 | 26631MillerKaren | 1341 | -1 | -0.07% | 3 | 97 | |
| 5 | 18 | 7 | Geoff Harris | V60 | Male | 22:53.8 | 29:53.0 | 20145HarrisGeoff | 1367 | -6 | -0.44% | 3 | 96 | |
| 6 | 19 | 21 | Christopher Thompson | V60 | Male | 23:52.8 | 30:22.2 | 21413ThompsonChristopher | 1424 | -8 | -0.56% | 3 | 95 | |
| 7 | 7 | 17 | Graham Bray | V60 | Male | 19:38.7 | 26:08.4 | 19631BrayGraham | 1170 | -8 | -0.68% | 3 | 94 | |
| 8 | 6 | 23 | Melissa O’Hare | V50 | Female | 20:25.4 | 25:59.5 | 26604O’HareMelissa | 1212 | -13 | -1.07% | 3 | 93 | |
| 9 | 5 | 70 | Tony Riley | V50 | Male | 21:48.7 | 24:47.0 | 26420RileyTony | 1288 | -20 | -1.55% | 3 | 92 | |
| 10 | 13 | 72 | Arnaldo Furiani | V50 | Male | 24:28.1 | 28:27.1 | 25441FurianiArnaldo | 1442 | -26 | -1.80% | 3 | 91 | |
| 11 | 3 | 63 | Alex Ruhinda | V50 | Male | 20:11.7 | 24:02.6 | 24215RuhindaAlex | 1175 | -36 | -3.06% | 3 | 90 | |
| 12 | 28 | 11 | Sylvia Goodman | V70 | Female | 22:20.6 | 37:21.8 | 18516GoodmanSylvia | 1289 | -51 | -3.96% | 3 | 89 | |
| 13 | 4 | 4 | Jeremy Newton | V50 | Male | 20:01.6 | 24:13.9 | 23674NewtonJeremy | 1147 | -54 | -4.71% | 3 | 88 | |
| 14 | 1 | 26 | Mark Holloway | V40 | Male | 19:03.7 | 21:20.0 | 27220HollowayMark | 1064 | -79 | -7.42% | 3 | 87 | |
| 15 | 8 | 28 | Domenico Romanelli | V60 | Male | 21:27.0 | 27:30.8 | 20908RomanelliDomenico | 1195 | -92 | -7.70% | 3 | 86 | |
| 16 | 26 | 9 | Kristina Petrou | V50 | Female | 27:26.2 | 34:54.9 | 26353PetrouKristina | 1479 | -167 | -11.29% | 3 | 85 | |
| 17 | 22 | 81 | Emma Walker | V40 | Female | 27:04.9 | 32:30.2 | 28759WalkerEmma | 1624 | 0 | -100.00% | 3 | 84 | |
| 18 | 2 | 39 | Paul Ward | V50 | Male | 19:34.7 | 23:29.9 | 23790WardPaul | 1140 | -34 | -2.98% | 3 | 0 | |
| 19 | 9 | 36 | Desmond Moss | V40 | Male | 24:35.9 | 27:31.9 | 27151MossDesmond | 1461 | -14 | -0.96% | 3 | 0 | |
| 24 | 12 | 77 | Christine Hawker | V50 | Female | 20:09.9 | 28:06.3 | 23753HawkerChristine | 0 | -100.00% | 3 | 0 | ||
| 25 | 15 | 1 | Deana Lawla | V50 | Female | 21:01.0 | 28:36.8 | 24220LawlaDeana | 0 | -100.00% | 3 | 0 | ||
| 20 | 16 | 61 | Nancy O’Mahoney | V50 | Female | 22:13.7 | 28:55.0 | 25784O’MahoneyNancy | 1429 | 96 | 6.72% | 3 | 0 | |
| 26 | 20 | 76 | Peter Goldfinch | V60 | Male | 24:24.3 | 31:34.5 | 20738GoldfinchPeter | 0 | -100.00% | 3 | 0 | ||
| 21 | 21 | 64 | Shing Man | V60 | Male | 26:11.1 | 32:28.3 | 22586ManShing | 1507 | -64 | -4.25% | 3 | 0 | |
| 22 | 23 | 48 | Lucy Samuels | V50 | Female | 25:00.7 | 32:32.3 | 25929SamuelsLucy | 1536 | 36 | 2.34% | 3 | 0 | |
| 23 | 24 | 78 | Dawn Tang | V60 | Female | 22:34.2 | 32:37.2 | 22364TangDawn | 1337 | -17 | -1.27% | 3 | 0 | |
| 27 | 25 | 79 | Anne Ward | V60 | Female | 22:55.4 | 33:07.9 | 22331WardAnne | 0 | -100.00% | 3 | 0 | ||
| 28 | 27 | 80 | Stephen Clayton | V70 | Male | 27:09.0 | 36:31.6 | 19054ClaytonStephen | 0 | -100.00% | 3 | 0 |
HPos:
Pos:
Bib:
Name:
Category:
Gender:
AG Time:
Time:
HTime:
Improvement (Secs):
Imp%:
Points:
HPOS = Handicap position. This is 0 if the athlete does not currently have a handicap time set. They need to run 2, or more races, to set a handicap time.
POS = Actual finishing position based on the actual time.
BIB = Their number
Category = Age group
AG Time = Age-graded time. Uses the tables published by the World Masters Athletics.
Time = Actual finish time.
HTime = Handicap Time in seconds. The athlete’s best time for the handicap races. They need to have 2 races to set a handicap time.
Improvement = The improvement in seconds. Which is the Handicap Time minus the Age-Graded Time.
Imp % = Improvement as a percentage. Improvement in seconds divided by Handicap time.
Points = Points awarded for the race. The athletes need a handicap time to be awarded points.