Lithgow parkrun # 109 - 20/04/2019

PosparkrunnerTimeAge CatAge GradeGender PosClubNoteTotal Runs
1Laurin SHIRT21:49SM25-2959.13 %M1Team Taco Running ClubNew PB!27
2Gavin HOLMES22:46VM40-4461.79 %M2PB stays at 00:22:317
3Rebecca HAMMENT24:26VW50-5469.44 %F1PB stays at 00:24:0063Member of the parkrun 50 Club
4Beau GILL26:35JM1061.50 %M3First Timer!1
5Joanne CRANE26:54VW35-3956.51 %F2Running Mums AustraliaPB stays at 00:26:3915
6Candice FALCONER26:59VW35-3955.59 %F3Weally Fast RunnersNew PB!83Member of the parkrun 50 Club
7Dave BIRCHALL27:02VM40-4451.23 %M4PB stays at 00:26:2410
8Brett FRANCIS27:19VM50-5454.85 %M5Team Taco Running ClubPB stays at 00:27:0294Member of the parkrun 50 Club
9Carly SEWELL29:36VW35-3950.51 %F4Weally Fast RunnersPB stays at 00:26:3644
10Hannah WEAL29:36JW1057.66 %F5Weally Fast RunnersFirst Timer!22Member of the parkrun 10 Club
11Adam GILL29:58VM35-3943.99 %M6First Timer!1
12Peter FITZPATRICK29:58VM60-6454.00 %M7New PB!74Member of the parkrun 50 Club
13Christine PEACHMAN31:26VW50-5456.10 %F6PB stays at 00:29:4259Member of the parkrun 50 Club
14Holly WEAL31:28VW35-3948.09 %F7Weally Fast RunnersPB stays at 00:29:0372Member of the parkrun 50 Club
15Jared YOUNG32:53SM30-3439.43 %M8New PB!3
16Unknown
17Lauren ALDRICK38:15VW35-3939.22 %F8New PB!4
18Jimmy MURRAY38:37VM70-7445.66 %M10New PB!18
19Christine HICKS43:05VW55-5943.79 %F9PB stays at 00:39:5538
20Colin FITZPATRICK43:21VM60-6438.33 %M11New PB!79Member of the parkrun 50 Club
21Andrew HEATLEY44:14VM65-6938.62 %M12PB stays at 00:36:0253Member of the parkrun 50 Club
22Chantelle GILL44:30SW30-3433.48 %F10PB stays at 00:42:342
23Xara GILL48:11JW1038.95 %F11First Timer!1
24Ashley GERRARD49:14SW25-2930.06 %F12New PB!2
25Glenys SHIRT49:19VW65-6943.70 %F13PB stays at 00:45:1312
26Norm MCFARLANE51:06VM75-7938.49 %M13PB stays at 00:49:4031
27Patricia CIOSMAK51:19VW70-7446.41 %F14New PB!25
28Unknown
29Unknown

Thanks to the volunteers

We are very grateful to the volunteers who made this event happen: Dave BIRCHALL, Joshua BROWN, Evan BROWN, Brigid EVANS, Christine HICKS, Norm MCFARLANE, Paul VANSTONE, Amy WILSON, Ross YATES

Why not get involved and volunteer?

What is this table?

This table shows the complete results for the specified week at this event. It is automatically shown when you navigate to the results page, but can also be reached by clicking on Latest Results, or by picking a specific week from the Event History table. If you bookmark the Latest Results page in your browser, the bookmark will always take you to the most up to date results table. If you bookmark a results page reached via the Event History table, the bookmark will then always take you to that specific week's results.

The columns

  • Pos - the runner's overall position in the run.
  • parkrunner - is the registered name of the athlete; clicking on the name takes you to that parkrunner's results page for this event.
  • Time - is the runner's recorded time - we record the overall time between the run director's start instruction and the runner crossing the finish line.
  • Age Cat - represents the age category of the runner on the day of the run; the first letter represents the major age categories (J)unior, (S)enior and (Veteran); the second letter represents gender (M)en and (W)omen; the remainder of the category represents a more specific age range. There are two further categories for wheel chair users; WWC and MWC represent Women and Men respectively. Clicking on the result category takes you to that age categories' historical record for this event.
  • Age Grade
  • - Gives an indication of how well the runner has done relative to their age and gender see the FAQ article for more information.
  • Gender - (M)ale or (F)emale
  • Gender Pos- Gender finish positions.
  • Club - Running club if registered.
  • Note - Note - Comments about PBs (Personal Bests).
  • Total Runs - Total number of runs across all parkruns, an indicator of membership of the various parkrun clubs, and their links with partner websites.

As with any of the results tables, the table can be sorted by any column by clicking on the column heading.