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Task 4 (Open)

How the field flew this task, and which behaviours separated it.

Top 3 winning behaviours

ELLIOTELLIOTTHOWGLCUDGNOCUDGCORRYCORRY
The optimised route — radii, leg distances and start times are on the task page.

Analysis computed

Pilots
48
Thermals
20370 shared by 2+ pilots
Working band
9122266 m
Airtime split
  • searching36%
  • climbing39%
  • gliding25%

1 pilot is in the scores but not in this analysis. Which, and why

What the weather did

From the weather model

Independent of the tracklogs: modelled conditions for the task area.

Fetching the day’s weather — it will appear here in a moment.

From the pilots' tracks

What the field actually flew — wind, climb strength and leg timing measured from every pilot's tracklog.

The day’s wind, hour by hour and leg by leg. What the air did, read from the field itself. We estimate the wind from the circling of every pilot. The first method is the drift of the circle centre, and the second method, used when the first is not available, is the modulation of the ground speed. We then combine the estimates two ways. The table by hour of day shows how the wind increased and changed direction through the day. The table by speed-section leg shows the wind on each part of the course. This metric describes the day, so it has no value for each pilot.

How strong the day’s climbs were, hour by hour. When the day started, reached its peak, and ended. We group the thermal climbs of all pilots by the hour in which each climb started, labelled in the time zone of the competition. The median and the 90th-percentile average climb rate for each hour show how the lift developed. This metric describes the day, so it has no value for each pilot.

Share of the flight spent in air that wasn’t sinking. How much of the flight was in air worth being in. The value is the share of the airborne time of a pilot, on the shared grid, with a 30 s-smoothed vario at or above −0.5 m/s. The time they flew, the line they steered and the way the flight ended all feed this value. It is therefore a reading of the day as much as of the pilot. There is no expected direction, and the sign of the correlation is the finding. The timing table compares the window of the day’s best climbs against the time when the field launched.

All charts share that one time axis. Arrows fly WITH the wind — direction figures are degrees the wind blows from.

The day's thermals

The 10 most-shared of 146 multi-pilot thermals, reconstructed by pooling every pilot's track through the same climb. Everything shown is measured from the tracks — no fitted lift model. Select a thermal to see it in detail.

Thermal at 12:05 AEDT 23 pilots, 38 climbs

  • Wind 14.0 km/h from 355° (N), measured from 243 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 32° from vertical toward 152° (SSE), within 23° of downwind.
  • Strongest on the SE side of the core at +3.0 m/s against +2.0 m/s on the NW side.
  • Multiple cores in 6 of 11 bands between 1400 and 2000 m — separate feeders (⬧ in the rose) before they merged.
Watch this thermal in the 3D replay (opens in a new tab)
Pilots in this thermal (climb rates)
PilotMinMedianMax
Gavin Nicholls-1.5 m/s+3.3 m/s+5.5 m/s
Tony Cross-1.5 m/s+2.8 m/s+6.3 m/s
Neale Halsall-1.3 m/s+2.8 m/s+4.0 m/s
Jochen Zeischka-2.3 m/s+2.8 m/s+5.5 m/s
Pawel Cedro-2.0 m/s+2.8 m/s+4.5 m/s
Ken Millard-0.3 m/s+2.8 m/s+5.3 m/s
Paul Bissett-Amess-2.3 m/s+2.5 m/s+8.0 m/s
Rich Reinauer-2.5 m/s+2.5 m/s+6.0 m/s
Neil Hooke-1.0 m/s+2.3 m/s+5.0 m/s
Andrew Sutton-1.0 m/s+2.3 m/s+5.0 m/s
Peter Adriaans-2.0 m/s+2.3 m/s+4.3 m/s
Gordon Rigg-2.0 m/s+1.8 m/s+7.8 m/s
Troy Horton-1.5 m/s+1.8 m/s+5.8 m/s
Olav Opsanger-3.8 m/s+1.8 m/s+7.5 m/s
Todd Wisewould-2.5 m/s+1.8 m/s+4.8 m/s
Ian Miller-3.0 m/s+1.8 m/s+5.5 m/s
Rory Duncan-2.0 m/s+1.5 m/s+5.0 m/s
David Drabble-3.0 m/s+1.5 m/s+6.0 m/s
Vic Hare-2.5 m/s+1.5 m/s+9.3 m/s
Brett Davis-1.5 m/s+1.5 m/s+4.8 m/s
Grant Tatham-0.8 m/s+1.3 m/s+2.0 m/s
Bobby Gillham
Bruce Atkinson

Each pilot's slowest, typical and best climb over their own vario samples in this thermal — a negative minimum means they touched sink inside it.

Band table (exact numbers)
BandCore offset E/N (m)Working radiusExtentMean climbBest climbSamplesPilotsCores
22002300 m74 / -125205 m310 m+1.1 m/s+4.8 m/s8951
21002200 m112 / -150138 m227 m+2.3 m/s+6.0 m/s385111
20002100 m121 / -63150 m350 m+2.6 m/s+6.3 m/s348131
19002000 m93 / 15241 m405 m+2.0 m/s+5.5 m/s392112
18001900 m54 / 128243 m312 m+2.4 m/s+6.0 m/s337103
17001800 m23 / 172215 m332 m+2.5 m/s+8.0 m/s29984
16001700 m-13 / 234231 m334 m+2.2 m/s+6.0 m/s26383
15001600 m-50 / 171333 m613 m+1.7 m/s+6.8 m/s31684
14001500 m-62 / 202196 m325 m+1.8 m/s+9.3 m/s26062
13001400 m-94 / 364163 m310 m+2.2 m/s+7.8 m/s17151
12001300 m-178 / 42794 m149 m+1.7 m/s+5.5 m/s17741
StartPilotsHeight bandMean climbStrongest side
168001400 m+1.3 m/sNE
1615002300 m+1.3 m/sE
1310001800 m+1.5 m/sNW
199001900 m+1.7 m/sNE
1811002300 m+1.8 m/sW
2312002300 m+2.1 m/sSE
138002200 m+0.9 m/sNE
1511002500 m+2.3 m/sE
137002400 m+2.0 m/sW
1412002600 m+3.0 m/sW

The dashed “forecast” arrow is the weather model’s wind — a model run, not an observation.

Which behaviours went with better ranks

Each row is one behaviour, compared against the published ranks. Select a row to plot it against rank.

Glide speed between climbs

Each dot is a pilot. ρ = -0.77 (clear pattern, n = 44). More is expected to be better here, and it was: top ranks gather to the right. The curve is a trend fitted through the dots: left to right it runs from about rank 38 to about rank 3. 4 pilots have no value and are not plotted.
  • Field glide speed: median 64.6 km/h · p90 74.9 km/h (44 pilots)
BehaviourStrengthWhat it meansPilots measured
Glide speed between climbs
clear pattern
Share of race time spent hunting for the next climb
clear pattern
Distance covered between climbs
clear pattern
Gliding wide of the optimal course line
clear pattern
Arriving at ESS with height to spare
clear pattern
Glide L/D against the field median
clear pattern
How often leaving the gaggle paid off
clear pattern
Share of the height gain made outside thermals
some pattern
Share of lift turned in that was kept as a climb
some pattern
How much of the thermal the pilot climbed before leaving it
some pattern
How long after the gate opened the pilot started
some pattern
Time spent flying with a gaggle
some pattern
How low the pilot gets between climbs
some pattern
Climbs joined on another pilot's marker
some pattern
Climb rate at thermal exit
faint pattern
Climbing faster than the pilots sharing the thermal
faint pattern
How round and consistent the circles were
could be chance
Low saves dug out from the bottom of the band
could be chance
Final glide committed to when leaving the last climb
could be chance
Share of the flight spent in air that wasn’t sinking
could be chance
Time to core thermals
could be chance
Gliding faster when the next climb is stronger
could be chance

Outcome checks

These measure the result, not a behaviour, so they always follow the ranks.

OutcomeStrengthWhat it meansPilots measured
Race time behind the leader at ESS
clear pattern
Race time lost against the fastest pilots, leg by leg
clear pattern

The whole field at a glance

1. Scott Barrett
2. Rory Duncan
3. Jochen Zeischka
4. Guy Hubbard
5. Jon Durand
6. Olav Opsanger
7. Gordon Rigg
8. Rich Reinauer
9. Dustan Hansen
10. Rohan Holtkamp
11. Tony Cross
12. Mitch Butler
13. Trent Brown
14. Vic Hare
15. Nils Vesk
16. Steve Docherty
17. Steve Blenkinsop
18. Peter Adriaans
19. Ken Millard
20. Peter Burkitt
21. Neale Halsall
22. Pawel Cedro
23. Enda Carrigan
24. Neil Hooke
25. Todd Wisewould
26. David Drabble
27. Bruce Atkinson
28. Grant Tatham
29. Troy Horton
30. Paul Bissett-Amess
31. Adrian Connor
32. Michael Free
33. Ward Gunn
34. Ian Miller
35. Ben Torrance
36. Andrew Sutton
37. Gavin Nicholls
38. Neill Hollingsworth
39. Gary Herman
40. Diego Mendonca
41. Bobby Gillham
42. Mark Jeffree
43. Cedric Joyce
44. Brett Davis
45. Ryan Brown
46. Stuart Cathcart
47. Peter Garrone
48. Tushar Pokle
The pilots in rank order against every behaviour. A darker cell is a better percentile in this field, and an empty cell is a behaviour that does not apply.

Pilot style clusters

The groups are flying style, and not score. The spread of ranks in each group shows where that style paid and where it did not.

Group ACommitted racers

18 pilots · ranks 131 · median 9.5 · middle half 5.315.8

  • LowShare of race time spent hunting for the next climb group median P19 in this field (19 percent) · usually a strength
  • HighDistance covered between climbs group median P78 in this field (3.3 kilometres) · usually a strength
  • LowGliding wide of the optimal course line group median P22 in this field (14 percent) · usually a strength
  • HighHow often leaving the gaggle paid off group median P78 in this field (88 percent)
  • 1. Scott Barrett
  • 2. Rory Duncan
  • 3. Jochen Zeischka
  • 4. Guy Hubbard
  • 5. Jon Durand
  • 6. Olav Opsanger
  • 7. Gordon Rigg
  • 8. Rich Reinauer
  • 9. Dustan Hansen
  • 10. Rohan Holtkamp
  • 11. Tony Cross (most typical of this group)
  • 12. Mitch Butler
  • 15. Nils Vesk
  • 16. Steve Docherty
  • 17. Steve Blenkinsop
  • 18. Peter Adriaans
  • 27. Bruce Atkinson
  • 31. Adrian Connor

Group BStop-often flyers

26 pilots · ranks 1344 · median 31 · middle half 23.337.8

  • LowDistance covered between climbs group median P29 in this field (1.7 kilometres) · usually costly
  • HighGliding wide of the optimal course line group median P71 in this field (30 percent) · usually costly
  • HighLow saves dug out from the bottom of the band group median P70 in this field (1.0 count)
  • HighShare of race time spent hunting for the next climb group median P69 in this field (31 percent) · usually costly
  • 13. Trent Brown
  • 14. Vic Hare
  • 19. Ken Millard
  • 20. Peter Burkitt
  • 21. Neale Halsall
  • 22. Pawel Cedro
  • 23. Enda Carrigan
  • 24. Neil Hooke
  • 25. Todd Wisewould
  • 26. David Drabble
  • 28. Grant Tatham
  • 29. Troy Horton
  • 30. Paul Bissett-Amess
  • 32. Michael Free
  • 33. Ward Gunn
  • 34. Ian Miller
  • 35. Ben Torrance
  • 36. Andrew Sutton
  • 37. Gavin Nicholls (most typical of this group)
  • 38. Neill Hollingsworth
  • 39. Gary Herman
  • 40. Diego Mendonca
  • 41. Bobby Gillham
  • 42. Mark Jeffree
  • 43. Cedric Joyce
  • 44. Brett Davis

Not clustered: 45. Ryan Brown — only 9 of 22 metrics available (needs ≥ 60%); 46. Stuart Cathcart — only 5 of 22 metrics available (needs ≥ 60%); 47. Peter Garrone — only 5 of 22 metrics available (needs ≥ 60%); 48. Tushar Pokle — only 5 of 22 metrics available (needs ≥ 60%).

44 pilots on 22 behavioural metrics formed 2 groups.

The metrics in detail

best: could be chance (0.19)

best: some pattern (0.48)

best: clear pattern (0.77)

#PilotGlideSpdGlideL/DSpeedToFlyWide%Dolphin%
1Scott Barrett78.0 (11 glides, 34 min gliding)1.04 (4 legs compared)1.1 (10 glide→climb pairs)10 (4 legs completed)4 (130 of 3510 m gained outside thermals)
2Rory Duncan73.8 (9 glides, 37 min gliding)0.98 (4 legs compared)-4.1 (8 glide→climb pairs)7 (4 legs completed)6 (209 of 3770 m gained outside thermals)
3Jochen Zeischka75.7 (10 glides, 36 min gliding)1.13 (4 legs compared)6.4 (9 glide→climb pairs)11 (4 legs completed)6 (184 of 3189 m gained outside thermals)
4Guy Hubbard73.5 (8 glides, 38 min gliding)1.08 (4 legs compared)-0.8 (7 glide→climb pairs)8 (4 legs completed)3 (125 of 3738 m gained outside thermals)
5Jon Durand72.2 (12 glides, 46 min gliding)1.21 (4 legs compared)-4.1 (11 glide→climb pairs)12 (4 legs completed)5 (142 of 3009 m gained outside thermals)
6Olav Opsanger75.0 (14 glides, 45 min gliding)1.06 (4 legs compared)13.2 (13 glide→climb pairs)13 (4 legs completed)9 (314 of 3497 m gained outside thermals)
7Gordon Rigg77.6 (10 glides, 42 min gliding)0.99 (4 legs compared)1.4 (9 glide→climb pairs)13 (4 legs completed)6 (247 of 4169 m gained outside thermals)
8Rich Reinauer72.9 (11 glides, 47 min gliding)1.11 (4 legs compared)-1.3 (10 glide→climb pairs)17 (4 legs completed)6 (275 of 4430 m gained outside thermals)
9Dustan Hansen68.4 (13 glides, 57 min gliding)1.09 (4 legs compared)0.9 (12 glide→climb pairs)23 (4 legs completed)9 (403 of 4409 m gained outside thermals)
10Rohan Holtkamp69.2 (16 glides, 49 min gliding)0.98 (4 legs compared)4.1 (15 glide→climb pairs)19 (4 legs completed)19 (814 of 4258 m gained outside thermals)
11Tony Cross69.1 (17 glides, 46 min gliding)0.96 (4 legs compared)0.5 (16 glide→climb pairs)15 (4 legs completed)7 (318 of 4868 m gained outside thermals)
12Mitch Butler70.6 (17 glides, 54 min gliding)1.04 (4 legs compared)-0.3 (16 glide→climb pairs)20 (4 legs completed)8 (382 of 5006 m gained outside thermals)
13Trent Brown64.4 (13 glides, 50 min gliding)1.01 (4 legs compared)5.6 (12 glide→climb pairs)18 (4 legs completed)6 (286 of 4845 m gained outside thermals)
14Vic Hare75.5 (17 glides, 50 min gliding)1.05 (4 legs compared)-1.0 (16 glide→climb pairs)31 (4 legs completed)14 (691 of 4846 m gained outside thermals)
15Nils Vesk63.5 (7 glides, 43 min gliding)1.02 (4 legs compared)4.6 (6 glide→climb pairs)13 (4 legs completed)2 (78 of 4270 m gained outside thermals)
16Steve Docherty62.8 (13 glides, 51 min gliding)1.13 (4 legs compared)-2.5 (12 glide→climb pairs)23 (4 legs completed)8 (356 of 4300 m gained outside thermals)
17Steve Blenkinsop62.1 (8 glides, 52 min gliding)1.12 (4 legs compared)9.1 (7 glide→climb pairs)18 (4 legs completed)10 (430 of 4451 m gained outside thermals)
18Peter Adriaans60.5 (13 glides, 57 min gliding)0.94 (4 legs compared)-5.1 (12 glide→climb pairs)16 (4 legs completed)10 (490 of 5051 m gained outside thermals)
19Ken Millard65.1 (17 glides, 61 min gliding)1.10 (4 legs compared)-0.9 (16 glide→climb pairs)29 (4 legs completed)35 (2372 of 6822 m gained outside thermals)
20Peter Burkitt64.8 (16 glides, 63 min gliding)1.09 (4 legs compared)-4.8 (15 glide→climb pairs)29 (4 legs completed)10 (578 of 5580 m gained outside thermals)
21Neale Halsall65.9 (16 glides, 57 min gliding)1.02 (4 legs compared)0.6 (15 glide→climb pairs)25 (4 legs completed)17 (758 of 4527 m gained outside thermals)
22Pawel Cedro71.6 (23 glides, 59 min gliding)0.95 (4 legs compared)3.5 (22 glide→climb pairs)46 (4 legs completed)10 (627 of 6380 m gained outside thermals)
23Enda Carrigan66.2 (22 glides, 60 min gliding)1.08 (4 legs compared)9.1 (21 glide→climb pairs)26 (4 legs completed)15 (667 of 4592 m gained outside thermals)
24Neil Hooke53.2 (14 glides, 64 min gliding)0.96 (4 legs compared)-1.8 (13 glide→climb pairs)17 (4 legs completed)11 (544 of 4927 m gained outside thermals)
25Todd Wisewould68.5 (19 glides, 63 min gliding)1.01 (4 legs compared)-0.6 (18 glide→climb pairs)25 (4 legs completed)12 (673 of 5436 m gained outside thermals)
26David Drabble67.5 (20 glides, 68 min gliding)0.95 (4 legs compared)-2.5 (19 glide→climb pairs)32 (4 legs completed)12 (643 of 5448 m gained outside thermals)
27Bruce Atkinson48.6 (16 glides, 65 min gliding)0.88 (4 legs compared)0.8 (15 glide→climb pairs)14 (4 legs completed)2 (125 of 5293 m gained outside thermals)
28Grant Tatham53.0 (14 glides, 70 min gliding)0.96 (4 legs compared)-1.8 (13 glide→climb pairs)24 (4 legs completed)10 (544 of 5534 m gained outside thermals)
29Troy Horton56.9 (14 glides, 68 min gliding)0.91 (4 legs compared)0.4 (13 glide→climb pairs)22 (4 legs completed)10 (593 of 6224 m gained outside thermals)
30Paul Bissett-Amess59.9 (15 glides, 76 min gliding)1.27 (4 legs compared)-1.5 (14 glide→climb pairs)40 (4 legs completed)8 (373 of 4749 m gained outside thermals)
31Adrian Connor50.3 (15 glides, 75 min gliding)1.16 (4 legs compared)-1.0 (14 glide→climb pairs)20 (4 legs completed)6 (300 of 4787 m gained outside thermals)
32Michael Free54.2 (17 glides, 75 min gliding)0.96 (4 legs compared)-3.3 (16 glide→climb pairs)29 (4 legs completed)19 (1276 of 6575 m gained outside thermals)
33Ward Gunn74.8 (20 glides, 63 min gliding)1.03 (4 legs compared)-5.6 (19 glide→climb pairs)41 (4 legs completed)10 (657 of 6797 m gained outside thermals)
34Ian Miller55.7 (23 glides, 75 min gliding)1.01 (4 legs compared)0.2 (22 glide→climb pairs)27 (4 legs completed)14 (745 of 5503 m gained outside thermals)
35Ben Torrance53.8 (27 glides, 95 min gliding)0.84 (4 legs compared)4.2 (26 glide→climb pairs)51 (4 legs completed)11 (870 of 7771 m gained outside thermals)
36Andrew Sutton57.3 (12 glides, 52 min gliding)0.92 (3 legs compared)5.1 (11 glide→climb pairs)30 (3 legs completed)12 (521 of 4484 m gained outside thermals)
37Gavin Nicholls62.4 (22 glides, 71 min gliding)1.10 (2 legs compared)-1.4 (21 glide→climb pairs)44 (2 legs completed)13 (801 of 6103 m gained outside thermals)
38Neill Hollingsworth52.1 (23 glides, 78 min gliding)0.71 (2 legs compared)1.5 (22 glide→climb pairs)35 (2 legs completed)20 (1133 of 5583 m gained outside thermals)
39Gary Herman61.6 (10 glides, 45 min gliding)0.90 (2 legs compared)2.1 (9 glide→climb pairs)23 (2 legs completed)9 (325 of 3649 m gained outside thermals)
40Diego Mendonca64.9 (18 glides, 62 min gliding)0.81 (2 legs compared)8.5 (17 glide→climb pairs)62 (2 legs completed)11 (845 of 7604 m gained outside thermals)
41Bobby Gillham55.8 (13 glides, 59 min gliding)0.81 (2 legs compared)-5.5 (12 glide→climb pairs)87 (2 legs completed)2 (153 of 6636 m gained outside thermals)
42Mark Jeffree56.4 (14 glides, 40 min gliding)0.94 (1 leg compared)1.1 (13 glide→climb pairs)47 (1 leg completed)25 (558 of 2245 m gained outside thermals)
43Cedric Joyce51.8 (12 glides, 39 min gliding)0.54 (1 leg compared)2.4 (11 glide→climb pairs)48 (1 leg completed)18 (602 of 3423 m gained outside thermals)
44Brett Davis44.5 (2 glides, 6 min gliding)0.92 (1 leg compared)12 (1 leg completed)
45Ryan Brown
46Stuart Cathcart
47Peter Garrone
48Tushar Pokle

Glide speed between climbs

Measured in kilometres per hour · higher is better

How fast the pilot moves down the course when they are on a glide. The value is the duration-weighted mean ground speed over every glide after the start, which is the glide distance divided by the glide time. A higher value means more ground covered in each minute between climbs.

Field glide speed: median 64.6 km/h · p90 74.9 km/h (44 pilots)

best: clear pattern (0.76)

#PilotFloor%LowSaveskm/climbSearch%
1Scott Barrett56 (8 descents, lowest 11% of band)0.04.2 (mean shared-climb pctile 60%)16
2Rory Duncan63 (8 descents, lowest -6% of band)0.04.5 (mean shared-climb pctile 57%)18
3Jochen Zeischka44 (8 descents, lowest -5% of band)0.03.9 (mean shared-climb pctile 52%)19
4Guy Hubbard73 (6 descents, lowest 26% of band)0.05.3 (mean shared-climb pctile 52%)18
5Jon Durand64 (7 descents, lowest -23% of band)0.03.7 (mean shared-climb pctile 55%)18
6Olav Opsanger36 (9 descents, lowest -35% of band)0.02.9 (mean shared-climb pctile 46%)19
7Gordon Rigg43 (6 descents, lowest -1% of band)1.0 (deepest save from -1% of band)3.1 (mean shared-climb pctile 56%)19
8Rich Reinauer46 (8 descents, lowest -21% of band)1.0 (deepest save from -16% of band)3.7 (mean shared-climb pctile 60%)21
9Dustan Hansen53 (10 descents, lowest 24% of band)0.03.2 (mean shared-climb pctile 54%)18
10Rohan Holtkamp49 (10 descents, lowest -23% of band)0.01.9 (mean shared-climb pctile 53%)27
11Tony Cross49 (13 descents, lowest -19% of band)0.02.4 (mean shared-climb pctile 48%)22
12Mitch Butler36 (11 descents, lowest -34% of band)1.0 (deepest save from 6% of band)2.4 (mean shared-climb pctile 49%)20
13Trent Brown0 (8 descents, lowest -11% of band)3.0 (deepest save from -11% of band)3.4 (mean shared-climb pctile 55%)20
14Vic Hare41 (10 descents, lowest -14% of band)0.01.7 (mean shared-climb pctile 52%)28
15Nils Vesk20 (7 descents, lowest -6% of band)0.06.5 (mean shared-climb pctile 26%)13
16Steve Docherty40 (8 descents, lowest 21% of band)0.02.1 (mean shared-climb pctile 51%)24
17Steve Blenkinsop37 (6 descents, lowest 12% of band)0.04.2 (mean shared-climb pctile 53%)18
18Peter Adriaans25 (7 descents, lowest -21% of band)0.02.3 (mean shared-climb pctile 49%)27
19Ken Millard47 (14 descents, lowest -13% of band)0.01.5 (mean shared-climb pctile 65%)33
20Peter Burkitt16 (9 descents, lowest -21% of band)1.0 (deepest save from 7% of band)2.2 (mean shared-climb pctile 47%)31
21Neale Halsall31 (9 descents, lowest -29% of band)0.01.9 (mean shared-climb pctile 47%)28
22Pawel Cedro23 (15 descents, lowest -29% of band)2.0 (deepest save from -5% of band)1.5 (mean shared-climb pctile 56%)33
23Enda Carrigan57 (11 descents, lowest -10% of band)0.01.6 (mean shared-climb pctile 42%)26
24Neil Hooke18 (8 descents, lowest -6% of band)2.0 (deepest save from 3% of band)2.5 (mean shared-climb pctile 39%)21
25Todd Wisewould42 (10 descents, lowest -11% of band)1.0 (deepest save from -11% of band)1.9 (mean shared-climb pctile 46%)32
26David Drabble45 (9 descents, lowest -1% of band)1.0 (deepest save from 2% of band)1.7 (mean shared-climb pctile 45%)29
27Bruce Atkinson22 (12 descents, lowest -21% of band)2.0 (deepest save from -19% of band)3.4 (mean shared-climb pctile 32%)15
28Grant Tatham34 (9 descents, lowest -22% of band)1.0 (deepest save from -19% of band)1.9 (mean shared-climb pctile 49%)21
29Troy Horton14 (8 descents, lowest -14% of band)1.0 (deepest save from -14% of band)2.0 (mean shared-climb pctile 52%)30
30Paul Bissett-Amess27 (10 descents, lowest -12% of band)1.0 (deepest save from -8% of band)2.8 (mean shared-climb pctile 43%)29
31Adrian Connor62 (7 descents, lowest 27% of band)0.02.3 (mean shared-climb pctile 44%)19
32Michael Free18 (10 descents, lowest -26% of band)1.0 (deepest save from -2% of band)1.2 (mean shared-climb pctile 48%)36
33Ward Gunn18 (11 descents, lowest -5% of band)0.01.5 (mean shared-climb pctile 53%)31
34Ian Miller28 (11 descents, lowest -12% of band)1.0 (deepest save from 13% of band)1.5 (mean shared-climb pctile 48%)34
35Ben Torrance51 (14 descents, lowest -16% of band)0.01.2 (mean shared-climb pctile 47%)32
36Andrew Sutton42 (5 descents, lowest -11% of band)1.0 (deepest save from -11% of band)2.0 (mean shared-climb pctile 49%)34
37Gavin Nicholls36 (12 descents, lowest -9% of band)1.0 (deepest save from -9% of band)1.3 (mean shared-climb pctile 54%)36
38Neill Hollingsworth11 (12 descents, lowest -26% of band)3.0 (deepest save from -8% of band)1.1 (mean shared-climb pctile 61%)45
39Gary Herman29 (7 descents, lowest -8% of band)0.02.6 (mean shared-climb pctile 65%)27
40Diego Mendonca34 (10 descents, lowest -15% of band)2.0 (deepest save from -12% of band)1.5 (mean shared-climb pctile 50%)36
41Bobby Gillham24 (10 descents, lowest -18% of band)4.0 (deepest save from -18% of band)2.0 (mean shared-climb pctile 36%)21
42Mark Jeffree64 (6 descents, lowest 22% of band)0.01.0 (mean shared-climb pctile 40%)48
43Cedric Joyce4 (7 descents, lowest -20% of band)0.01.1 (mean shared-climb pctile 89%)40
44Brett Davis0.063
45Ryan Brown0.072
46Stuart Cathcart
47Peter Garrone
48Tushar Pokle

Share of race time spent hunting for the next climb

Measured in percent · lower is better

Time that goes into neither a climb nor progress down the course. This is the time spent to find lift, to stay up, and to decide what to do next. The value is the share of the speed-section time, from the start to ESS or to the landing, in which the pilot neither climbed in a thermal nor glided with real net speed. A lower value means less time lost between climbs.

Speed-section phase shares, field p25/median/p75: climb 34/37/39% · glide 31/36/41% · search 19/27/33%

best: clear pattern (0.56)

best: clear pattern (0.62)

Footnotes

1 pilot in the scores but not in this analysis

  • James McKirdytrack failed a data-quality check: Track is from a different day; Track is not at the task location

The correlations are measured against the published ranks, and those ranks include these pilots. Their behaviour cannot be measured without a tracklog.

How the field is compared

Everything that compares pilots to each other uses one shared clock. That includes gaggles, shared thermals, and the position of each pilot at the same moment. GlideComp resamples every track onto a common 10-second grid. Two pilots are therefore always compared at the same instant, whatever rate their instruments logged at.

Metric glossary

How GlideComp measures every metric on this page. On screen, the ⓘ beside a metric opens the same description in place. On paper, this section is the reference for all of them.

Day profile & wind

The day’s wind, hour by hour and leg by leg(“Wind” in tables)
Measured in kilometres per hour · no expected direction

What the air did, read from the field itself. We estimate the wind from the circling of every pilot. The first method is the drift of the circle centre, and the second method, used when the first is not available, is the modulation of the ground speed. We then combine the estimates two ways. The table by hour of day shows how the wind increased and changed direction through the day. The table by speed-section leg shows the wind on each part of the course. This metric describes the day, so it has no value for each pilot.

How strong the day’s climbs were, hour by hour(“Climb/hr” in tables)
Measured in metres per second · no expected direction

When the day started, reached its peak, and ended. We group the thermal climbs of all pilots by the hour in which each climb started, labelled in the time zone of the competition. The median and the 90th-percentile average climb rate for each hour show how the lift developed. This metric describes the day, so it has no value for each pilot.

Share of the flight spent in air that wasn’t sinking(“NonSink%” in tables)
Measured in percent · no expected direction

How much of the flight was in air worth being in. The value is the share of the airborne time of a pilot, on the shared grid, with a 30 s-smoothed vario at or above −0.5 m/s. The time they flew, the line they steered and the way the flight ended all feed this value. It is therefore a reading of the day as much as of the pilot. There is no expected direction, and the sign of the correlation is the finding. The timing table compares the window of the day’s best climbs against the time when the field launched.

Climbing

Climbing faster than the pilots sharing the thermal(“Out-climb” in tables)
Measured in percent · higher is better

When this pilot and other pilots were in the SAME thermal, who climbed faster? In every thermal that two pilots or more used, we rank each use by its average climb rate. The percentile of a use is the share of uses that were strictly slower. The value is the duration-weighted mean percentile over the shared climbs of the pilot. 50% is exactly average. 80% means they climbed faster than four in five of the pilots they shared lift with. The shared thermal is what separates centring skill from thermal selection: a pilot who only found better air gets no higher value here.

Time to core thermals(“Core s” in tables)
Measured in seconds · lower is better

How long the pilot takes to get into the best lift after they arrive in a thermal. For each thermal of 60 s or more, we measure the seconds from the entry until the 30 s rolling climb rate first reaches 90% of its peak in that thermal. The value is the median across the thermals of the pilot. Every second here is a second spent climbing slower than the thermal can carry them.

Climb rate at thermal exit(“LeaveRate” in tables)
Measured in metres per second · no expected direction

The median climb rate that the pilot left thermals at. For each thermal of 90 s or more, we take the climb rate over its final 30 s. A high value means they leave lift that still works. A low value means they stay in a climb until nothing is left. This is an absolute rate, so read it against the day: compare it with the median climb in "How strong the day’s climbs were". A pilot who leaves at 1.5 m/s leaves a good climb on a 1 m/s day, and takes the worst lift available on a 4 m/s day. There is no expected direction. The sign of the correlation says which behaviour paid on this task.

Share of lift turned in that was kept as a climb(“Kept%” in tables)
Measured in percent · no expected direction

How selective the pilot is about the lift they stop for. Each period of circling of 30 s or more after the start counts as lift that the pilot sampled. If the period overlaps a detected thermal, the pilot kept that lift. If it does not, they turned a few circles and left it. The value is the percentage kept. A low value means they are selective. A high value means they keep almost every climb they turn in. There is no expected direction: selection wins on a strong day and wastes time on a weak one.

How much of the thermal the pilot climbed before leaving it(“TopOut%” in tables)
Measured in percent · no expected direction

Does the pilot climb to the top of every thermal, or leave with lift still above them? We take the altitude where they left each thermal after the start, as a percentage of the day’s working band. 0% is the floor of the field and 100% is its ceiling. The value is the median. There is no expected direction: a climb to the top buys height in reserve, and an early departure buys time.

How round and consistent the circles were(“Round” in tables)
Measured in ratio · lower is better

Whether the pilot flies clean, repeatable circles, or moves around the thermal. We fit each detected circle by least squares. The RMS fit error divided by the fitted radius measures how round the turn was. The value is the median over all of the circles of the pilot. A lower value means smoother and more consistent turns.

Gliding

Glide speed between climbs(“GlideSpd” in tables)
Measured in kilometres per hour · higher is better

How fast the pilot moves down the course when they are on a glide. The value is the duration-weighted mean ground speed over every glide after the start, which is the glide distance divided by the glide time. A higher value means more ground covered in each minute between climbs.

Glide L/D against the field median(“GlideL/D” in tables)
Measured in ratio · higher is better

Whether the pilot found better air on glide than the other pilots on the same leg. For each completed speed-section leg, we take the pilot's glide-phase L/D. That is the path distance divided by the net altitude lost during the glides, and we skip a leg that loses less than 100 m. We divide it by the median L/D of the field on that same leg, and then average over the legs. 1.10 means the pilot glided 10% further for each metre lost than the usual pilot on those legs.

Gliding faster when the next climb is stronger(“SpeedToFly” in tables)
Measured in kilometres per hour · higher is better

Speed to fly: the pilot flies faster when a good climb is in front of them, and slower when it is not. We pair each glide after the start with the climb rate of the next thermal that starts within 5 minutes. The value is the mean glide speed before climbs stronger than the median, minus the mean glide speed before weaker climbs. +8 km/h means the pilot flew 8 km/h faster into the good climbs. This is a PROXY, and not true speed to fly, because there is no glider polar data.

Gliding wide of the optimal course line(“Wide%” in tables)
Measured in percent · lower is better

How much further the pilot flew on glide than the optimised course line needed. 0% is a flight exactly along the line, and 12% is a glide 12% further than necessary. On each completed speed-section leg, we compare the pilot's route with the optimised distance of the leg, weighted by that optimised distance. Only the glides are measured at their full path length. Circling and searching contribute their entry-to-exit displacement instead. A climb or a search for lift therefore never reads as a wide line, because a pilot chooses a line only on glide. 0% is a real value that a pilot can reach: a pilot who flies the line of the optimiser scores exactly zero.

Share of the height gain made outside thermals(“Dolphin%” in tables)
Measured in percent · no expected direction

Dolphin flying: how much of the height that the pilot gained came outside of circling. The value is the share of the altitude gain after the start, smoothed over 10 s, that the pilot made outside a detected thermal. There is no expected direction. The sign of the correlation shows whether dolphin flying paid on this day.

Decision-making

How low the pilot gets between climbs(“Floor%” in tables)
Measured in percent · no expected direction

How low the pilot goes before the next climb. A high value is a race with height in reserve, and a low value is a flight that goes down near the ground. We take each pair of climbs that the pilot made after the start, and we find the lowest point between them. We keep only the gaps that go down 100 m or more, because a top-up between two climbs is not a descent. We do not count a sled run or the glide to goal, because the pilot made no climb after them. The value is the median of those low points, as a percentage of the day's working band. 0% is where the lowest tenth of the field's climbs started, and 100% is where the highest tenth stopped. Thus a negative value shows that the pilot went lower than almost all of the field. The pilot must have two or more of these descents. There is no expected direction. The sign of the correlation says whether height in reserve pays.

Low saves dug out from the bottom of the band(“LowSaves” in tables)
Measured in count · no expected direction

How many times the pilot got low and climbed out again. We count the climbs after the start that the pilot entered below 15% of the working band, and that then gained 300 m or more. Those are true low saves. Zero is a real value, and not a missing one: it means the pilot never got that low. There is no expected direction. The sign of the correlation says whether a climb-out or a flight that stays high pays.

Distance covered between climbs(“km/climb” in tables)
Measured in kilometres · higher is better

How far the pilot gets down the course before they must stop and circle again. This is the direct reading of how often they stop. The value is the scored flown distance divided by the number of thermals taken after the start, so 3 km means three kilometres of course for each climb. The pilot must fly 20 km or more. The note of each pilot adds their mean climb percentile inside shared thermals, so you can read the number of stops together with the climb strength. Long legs between weak climbs is a different day from long legs between strong ones.

Share of race time spent hunting for the next climb(“Search%” in tables)
Measured in percent · lower is better

Time that goes into neither a climb nor progress down the course. This is the time spent to find lift, to stay up, and to decide what to do next. The value is the share of the speed-section time, from the start to ESS or to the landing, in which the pilot neither climbed in a thermal nor glided with real net speed. A lower value means less time lost between climbs.

Gaggle

Time spent flying with a gaggle(“InGaggle%” in tables)
Measured in percent · no expected direction

Whether the pilot raced with other pilots or alone. The value is the share of their flying time after the start inside a detected gaggle, that is, clustered with one other racing pilot or more on the shared time grid. There is no expected direction. A gaggle increases the power to search for lift, but it also holds a pilot to its own speed. The sign of the correlation says which of the two occurred here.

Climbs joined on another pilot's marker(“Marked%” in tables)
Measured in percent · no expected direction

How much of the lift of the pilot another pilot found first. The value is the share of their climbs after the start where another pilot was already established in the same thermal when they arrived. Established means 30 s or more into the climb, and still climbing. A high value means they mostly climb on the markers of other pilots. A low value means they find their own air. There is no expected direction. A marker is free information, but it puts a pilot where the last climb was, and not where the next one is.

How often leaving the gaggle paid off(“LeaveWin%” in tables)
Measured in percent · no expected direction

When a pilot leaves a gaggle that continues to fly, did the departure pay off? We compare the arrival of the pilot who left at the next turnpoint against the median arrival of the pilots who stayed. A win rate of more than 50% means their departures beat the gaggle. A pilot counts as a pilot who stayed only if they were still in the gaggle after the split, and reached that turnpoint after it.

Race craft

How long after the gate opened the pilot started(“StartDly” in tables)
Measured in seconds · lower is better

Every second between the opening of the gate and the crossing of the start line is a second lost for nothing. The value is the seconds from the start gate taken to the scored SSS crossing. On an elapsed-time task, the pilot’s own crossing is the reference, so the delay is 0 by definition. The start table adds the crossing altitude, and the distance behind the leading pilot who had already started.

Race time lost against the fastest pilots, leg by leg(“TimeLost” in tables)
Measured in seconds · lower is better

For each completed speed-section leg, we compare the leg time of the pilot with the mean of the top 10 pilots by rank who completed that leg. Only the losses count, and we add them together. The sum of the leg times is the race time, and the rank defines the reference, so this metric follows the result by construction. Read the waterfall table, which shows every leg against the task winner, for the diagnosis. Do not read the correlation as a finding.

Race time behind the leader at ESS(“Behind” in tables)
Measured in minutes · lower is better

At each speed-section turnpoint, we compare the elapsed race time of the pilot, which is the reaching time minus their own start, with the fastest pilot to that turnpoint. The value is the minutes behind at ESS. It follows the final rank almost exactly, because this metric is the sanity check of the evaluation.

Arriving at ESS with height to spare(“Spare m” in tables)
Measured in metres · lower is better

Height still available at ESS that the pilot no longer needed. That altitude was available for more speed, and the pilot did not use it. The value is the altitude at ESS minus the altitude needed to glide to goal at the standard glide ratio of the sport, which is 5.0 for HG and 4.0 for PG (S7F §13.4.6). A large positive margin means the pilot arrived too high. A margin near zero means they flew the final glide with little height to spare.

Final glide committed to when leaving the last climb(“FinalGl” in tables)
Measured in ratio · no expected direction

How optimistic the pilot was about their final glide. A pilot wins or loses a task by the height at which they leave the last climb. At the last climb of the pilot before ESS, or before the landing, we divide the distance to goal by their height above goal. That is the glide ratio they committed to. 8 means they left and needed 8:1 to make goal. The value counts only when that climb ended within 1.5 times the length of the last course leg longer than 1 km from goal — when ESS and goal share a waypoint, the zero-length hop between them is not that leg. There is no expected direction: a marginal glide wins if it connects, and loses if it does not.