Results from the February Handicap of the 2024 series, held on 24/2/2024, in the anti-clockwise direction, 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 | 12 | 361 | Anna Sikorska | V50 | Female | 17:50.2 | 22:57.0 | 26473SikorskaAnna | 1101 | 31 | 2.82% | 2 | 100 | |
| 2 | 34 | 348 | Lucy Samuels | V50 | Female | 23:40.0 | 31:08.2 | 25929SamuelsLucy | 1440 | 20 | 1.39% | 2 | 99 | |
| 3 | 40 | 310 | Nikki Chodurek | V60 | Female | 21:49.0 | 33:10.3 | 21460ChodurekNikki | 1308 | -1 | -0.08% | 2 | 98 | |
| 4 | 20 | 356 | Rosemary Bains | V60 | Female | 17:29.6 | 26:56.9 | 21055BainsRosemary | 1046 | -3 | -0.29% | 2 | 97 | |
| 5 | 15 | 333 | Mungo Knott | V50 | Male | 20:50.4 | 25:25.3 | 23679KnottMungo | 1245 | -5 | -0.40% | 2 | 96 | |
| 6 | 42 | 318 | Jill Atkins | V60 | Female | 22:54.1 | 36:43.4 | 19831AtkinsJill | 1358 | -16 | -1.18% | 2 | 95 | |
| 7 | 26 | 350 | Christine Savage | V60 | Female | 18:49.0 | 28:14.7 | 21649SavageChristine | 1114 | -15 | -1.35% | 2 | 94 | |
| 8 | 7 | 359 | Anja Greenwood | V40 | Female | 17:16.0 | 21:05.1 | 28492GreenwoodAnja | 1019 | -17 | -1.67% | 2 | 93 | |
| 9 | 41 | 352 | Dawn Tang | V60 | Female | 22:48.9 | 33:23.4 | 22364TangDawn | 1333 | -35 | -2.63% | 2 | 92 | |
| 10 | 10 | 344 | Nick Butcher | V50 | Male | 19:48.7 | 22:30.7 | 26968ButcherNick | 1157 | -31 | -2.68% | 2 | 91 | |
| 11 | 39 | 353 | Peter Goldfinch | V60 | Male | 24:54.5 | 32:30.5 | 20738GoldfinchPeter | 1454 | -40 | -2.75% | 2 | 90 | |
| 12 | 23 | 364 | Celine Ledbury | V40 | Female | 22:24.6 | 27:37.8 | 28094LedburyCeline | 1307 | -37 | -2.83% | 2 | 89 | |
| 13 | 9 | 342 | Edwin Coutts | V40 | Male | 19:18.4 | 21:36.5 | 27670CouttsEdwin | 1126 | -32 | -2.84% | 2 | 88 | |
| 14 | 13 | 327 | Melissa O’Hare | V50 | Female | 19:11.0 | 24:40.9 | 26604O’HareMelissa | 1119 | -32 | -2.86% | 2 | 87 | |
| 15 | 27 | 343 | Imke Siegerist | V50 | Female | 21:33.9 | 28:22.3 | 25793SiegeristImke | 1249 | -44 | -3.52% | 2 | 86 | |
| 16 | 1 | 314 | Victor Redondo | U18 | Male | 18:59.2 | 19:22.2 | 39360RedondoVictor | 1096 | -43 | -3.92% | 2 | 85 | |
| 17 | 31 | 307 | Christopher Thompson | V60 | Male | 23:33.1 | 30:12.5 | 21413ThompsonChristopher | 1356 | -57 | -4.20% | 2 | 84 | |
| 18 | 5 | 371 | Kat Alpe | Senior | Female | 17:35.5 | 20:21.1 | 31194AlpeKat | 1011 | -44 | -4.35% | 2 | 83 | |
| 19 | 32 | 312 | Geoff Harris | V60 | Male | 23:07.0 | 30:26.9 | 20145HarrisGeoff | 1325 | -62 | -4.68% | 2 | 82 | |
| 20 | 37 | 304 | Kathy Allman | V60 | Female | 22:14.5 | 31:45.3 | 23067AllmanKathy | 1274 | -60 | -4.71% | 2 | 81 | |
| 21 | 35 | 330 | Ann Marie John | V50 | Female | 22:40.2 | 31:13.6 | 24191JohnAnn Marie | 1295 | -65 | -5.02% | 2 | 80 | |
| 22 | 28 | 337 | Karen Miller | V50 | Female | 22:32.0 | 28:59.6 | 26631MillerKaren | 1279 | -73 | -5.71% | 2 | 79 | |
| 23 | 25 | 309 | Ian Barber | V60 | Male | 21:45.1 | 28:08.6 | 21027BarberIan | 1234 | -71 | -5.75% | 2 | 78 | |
| 24 | 30 | 351 | Deana Lawla | V50 | Female | 21:50.7 | 30:05.3 | 24220LawlaDeana | 1234 | -76 | -6.16% | 2 | 77 | |
| 25 | 18 | 369 | Francesca Bull | V50 | Female | 20:01.3 | 26:38.3 | 25497BullFrancesca | 1131 | -70 | -6.19% | 2 | 76 | |
| 26 | 3 | 358 | Scott Aiken | V50 | Male | 16:59.2 | 19:45.1 | 25729AikenScott | 958 | -61 | -6.37% | 2 | 75 | |
| 27 | 19 | 319 | Domenico Romanelli | V60 | Male | 20:45.9 | 26:51.9 | 20908RomanelliDomenico | 1160 | -85 | -7.33% | 2 | 74 | |
| 28 | 33 | 329 | Jo Allen | V50 | Female | 23:44.3 | 30:32.6 | 26396AllenJo | 1325 | -99 | -7.47% | 2 | 73 | |
| 29 | 11 | 363 | Paul Ward | V50 | Male | 18:53.8 | 22:51.8 | 23790WardPaul | 1046 | -87 | -8.32% | 2 | 72 | |
| 30 | 38 | 370 | David Paul | V70 | Male | 22:43.1 | 32:16.2 | 18101PaulDavid | 1246 | -117 | -9.39% | 2 | 71 | |
| 31 | 24 | 367 | Sue Cross | V60 | Female | 19:39.1 | 28:03.5 | 23200CrossSue | 1068 | -111 | -10.39% | 2 | 70 | |
| 32 | 43 | 306 | Sylvia Goodman | V70 | Female | 22:15.6 | 37:46.4 | 18516GoodmanSylvia | 1207 | -128 | -10.60% | 2 | 69 | |
| 33 | 21 | 355 | Desmond Moss | V40 | Male | 24:03.9 | 27:08.2 | 27151MossDesmond | 1301 | -142 | -10.91% | 2 | 68 | |
| 34 | 29 | 347 | Arnaldo Furiani | V50 | Male | 25:34.3 | 29:58.1 | 25441FurianiArnaldo | 1361 | -173 | -12.71% | 2 | 67 | |
| 35 | 14 | 360 | Poppy Allwright | U20 | Female | 22:13.3 | 25:22.5 | 38574AllwrightPoppy | 1106 | -227 | -20.52% | 2 | 66 | |
| 38 | 2 | 354 | Francis Mannion | V40 | Male | 18:18.2 | 19:27.8 | 30160MannionFrancis | 0 | -100.00% | 2 | 0 | ||
| 39 | 4 | 362 | Robert Sikorski | V40 | Male | 17:46.6 | 19:53.8 | 27488SikorskiRobert | 0 | -100.00% | 2 | 0 | ||
| 40 | 6 | 357 | David Weir | V40 | Male | 18:54.9 | 20:33.2 | 29144WeirDavid | 0 | -100.00% | 2 | 0 | ||
| 37 | 8 | 322 | Jack Sutcliffe | U18 | Male | 20:53.2 | 21:18.5 | 39316SutcliffeJack | 1226 | -27 | -2.20% | 2 | 0 | |
| 41 | 16 | 368 | Matt Burn | V50 | Male | 22:33.6 | 26:14.0 | 25846BurnMatt | 0 | -100.00% | 2 | 0 | ||
| 42 | 17 | 366 | Ronnie Ley | Senior | Female | 23:11.1 | 26:22.3 | 35544LeyRonnie | 0 | -100.00% | 2 | 0 | ||
| 43 | 22 | 373 | Peter Ley | V60 | Male | 21:43.1 | 27:23.2 | 21997LeyPeter | 0 | -100.00% | 2 | 0 | ||
| 44 | 36 | 365 | Jane Moss | V50 | Female | 24:11.0 | 31:27.6 | 25994MossJane | 0 | -100.00% | 2 | 0 | ||
| 36 | 44 | 321 | Miranda Bowie | V70 | Female | 24:08.7 | 39:48.6 | 19153BowieMiranda | 1420 | -28 | -1.97% | 2 | 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.