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Task 4 (Open)

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

ELLIOTELLIOTTHOWGLCUDGNOCUDGCORRYCORRY
The optimised route. Pilots fly it in the direction of the arrows. The radii, the leg distances and the start times are on the task page.

Analysis computed

Pilots
48
Airtime
115h (11:12–15:26 AEDT)
Thermals
20370 shared by 2+ pilots
Working band
9122266 m
Airtime split
  • 39%climbing
  • 25%gliding
  • 36%searching

1 pilot is in the standings 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 average the vectors 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 — measured and modelled alike — share one time axis (AEDT), so a vertical scan compares the two at the same moment. Arrows fly WITH the wind — direction figures are degrees the wind blows from; arrow length and opacity track speed and sample count. On the per-leg chart the pale bar is when the field flew that leg and the solid band inside it is the circling its wind was measured from — a leg the field glided is measured in a sliver of the time it was flown. Exact numbers are in the day family’s tables under “The metrics in detail”.

Which behaviours went with better results

Every row is one behaviour, measured for each pilot and then compared against the published placings (Spearman's rank correlation, ρ). Rank 1 is best, so a behaviour where more is better shows a negative ρ. A bigger bar means the behaviour tracked the placings more closely on this task, and pilots measured is how much of the analysed field the behaviour applied to — a reading drawn from half the field is thinner than one drawn from all of it. Select a row to see that behaviour plotted against rank — the chart stays in view while you work down the table.

Share of race time spent hunting for the next climb

Each dot is a pilot: across is what was measured, up is a better rank. ρ = 0.73 (clear pattern, n = 45). Less is expected to be better here, and it was: top ranks gather to the left. The curve is a trend fitted through the dots: left to right it runs from about rank 12 to about rank 47. 3 pilots have no value and are not plotted.
  • Speed-section phase shares, field p25/median/p75: climb 34/37/39% · glide 31/36/41% · search 19/27/33%
BehaviourStrengthWhat it meansPilots measured
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
Glide speed between climbs
clear pattern
Arriving at ESS with height to spare
clear pattern
How often leaving the gaggle paid off
clear pattern
Glide L/D against the field median
clear pattern
Time spent flying with a gaggle
clear pattern
How long after the gate opened the pilot started
clear pattern
Share of the height gain made outside thermals
clear 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
Climbs joined on another pilot's marker
some pattern
How low the pilot gets between climbs
some pattern
Climbing faster than the pilots sharing the thermal
could be chance
Share of the flight spent in air that wasn’t sinking
could be chance
Climb rate at thermal exit
could be chance
Low saves dug out from the bottom of the band
could be chance
How round and consistent the circles were
could be chance
Time to core thermals
could be chance
Gliding faster when the next climb is stronger
could be chance

clear pattern is |ρ| ≥ 0.5, some pattern ≥ 0.3 and faint pattern below — each only once the coefficient is bigger than chance alone produces at that many pilots (its noise floor). could be chance (in the statistics: within noise) means shuffling the placings produces a coefficient that size more than 5% of the time, so it cannot be told apart from luck however big it looks. too few pilots is fewer than 8 pilots with a value — not enough to tell either way.

Rank 21 behaviours against one day's results and a few will look strong on luck alone — the ones worth believing are those that repeat across tasks in the competition-level analysis.

Outcome checks

These are not behaviours. They measure the result itself, for example the time behind the leader and the race time lost, so they always follow the places. They are here as a check on the analysis. A weak pattern in this table means that something is wrong in the numbers, and not in the flying of any pilot. Their per-pilot tables stay in the Race craft section below.

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. Jon Durand
5. Olav Opsanger
6. Guy Hubbard
7. Gordon Rigg
8. Rich Reinauer
9. Steve Docherty
10. Steve Blenkinsop
11. Rohan Holtkamp
12. Tony Cross
13. Peter Adriaans
14. Ken Millard
15. Dustan Hansen
16. Mitch Butler
17. Vic Hare
18. Trent Brown
19. Pawel Cedro
20. Neil Hooke
21. Nils Vesk
22. Bruce Atkinson
23. Grant Tatham
24. Paul Bissett-Amess
25. Troy Horton
26. Neale Halsall
27. Enda Carrigan
28. Peter Burkitt
29. Ian Miller
30. Todd Wisewould
31. David Drabble
32. Andrew Sutton
33. Gavin Nicholls
34. Adrian Connor
35. Ward Gunn
36. Michael Free
37. Ben Torrance
38. Gary Herman
39. Diego Mendonca
40. Neill Hollingsworth
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. The columns start with the behaviours whose better end went with better places, continue through the behaviours that separated nobody, and end with the behaviours that ran the other way. A field that one behaviour separated therefore shades dark in the top-left corner, and a field where each pilot won differently does not. The band above rates how much pattern each group of columns holds: a clear, some or faint pattern, noise (could be chance), or too few pilots to tell. The family sections below carry the exact values. † This behaviour has no good or bad direction. The shade is the position in the field, and not the quality.

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. Each group carries the name of its strongest signature. A ★ marks the pilot most typical of their group.

Group AUnfussy climbers

19 pilots · ranks 130 · median 10 · middle half 5.515.5

  • HighShare of lift turned in that was kept as a climb group median P78 in this field (86 percent)
  • HighGlide speed between climbs group median P74 in this field (70.6 kilometres per hour) · usually a strength
  • LowLow saves dug out from the bottom of the band group median P27 in this field (0.0 count)
  • LowShare of race time spent hunting for the next climb group median P27 in this field (20 percent) · usually a strength
  • 1. Scott Barrett
  • 2. Rory Duncan
  • 3. Jochen Zeischka
  • 4. Jon Durand
  • 5. Olav Opsanger
  • 6. Guy Hubbard
  • 7. Gordon Rigg
  • 8. Rich Reinauer
  • 9. Steve Docherty
  • 10. Steve Blenkinsop
  • 11. Rohan Holtkamp
  • 12. Tony Cross (most typical of this group)
  • 14. Ken Millard
  • 15. Dustan Hansen
  • 16. Mitch Butler
  • 17. Vic Hare
  • 26. Neale Halsall
  • 27. Enda Carrigan
  • 30. Todd Wisewould

Group BPunished leavers

25 pilots · ranks 1344 · median 32 · middle half 2338

  • LowHow often leaving the gaggle paid off group median P26 in this field (20 percent)
  • LowHow low the pilot gets between climbs group median P27 in this field (24 percent)
  • LowGlide L/D against the field median group median P28 in this field (0.95 ratio) · usually costly
  • LowGlide speed between climbs group median P28 in this field (56.9 kilometres per hour) · usually costly
  • 13. Peter Adriaans
  • 18. Trent Brown
  • 19. Pawel Cedro
  • 20. Neil Hooke
  • 21. Nils Vesk
  • 22. Bruce Atkinson
  • 23. Grant Tatham
  • 24. Paul Bissett-Amess
  • 25. Troy Horton
  • 28. Peter Burkitt
  • 29. Ian Miller (most typical of this group)
  • 31. David Drabble
  • 32. Andrew Sutton
  • 33. Gavin Nicholls
  • 34. Adrian Connor
  • 35. Ward Gunn
  • 36. Michael Free
  • 37. Ben Torrance
  • 38. Gary Herman
  • 39. Diego Mendonca
  • 40. Neill Hollingsworth
  • 41. Bobby Gillham
  • 42. Mark Jeffree
  • 43. Cedric Joyce
  • 44. Brett Davis

Not clustered: 45. Ryan Brown — only 9 of 21 metrics available (needs ≥ 60%); 46. Stuart Cathcart — only 5 of 21 metrics available (needs ≥ 60%); 47. Peter Garrone — only 5 of 21 metrics available (needs ≥ 60%); 48. Tushar Pokle — only 5 of 21 metrics available (needs ≥ 60%).

GlideComp groups the pilots by flying style, and not by score. It transforms the rank of every behavioural metric to a percentile inside the field. It then compares two pilots by the mean percentile gap over the metrics that both pilots have, and never fills in a missing value. Ward-linkage agglomeration forms the groups, and the best mean silhouette selects the number of groups. Each group carries the spread of the GAP ranks of its members, which shows where a style paid and where it did not. On this task, 44 pilots on 21 behavioural metrics formed 2 groups, with k searched from 2 to 6. The mean silhouette is 0.18. A value near 0 means soft group boundaries, and a value near 1 means tight, well-separated groups.

The metrics in detail

best: could be chance (0.25)

best: some pattern (0.47)

best: clear pattern (0.73)

#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)
4Jon 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)
5Olav 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)
6Guy 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)
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)
9Steve 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)
10Steve 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)
11Rohan 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)
12Tony 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)
13Peter 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)
14Ken 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)
15Dustan 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)
16Mitch 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)
17Vic 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)
18Trent 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)
19Pawel 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)
20Neil 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)
21Nils 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)
22Bruce 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)
23Grant 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)
24Paul 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)
25Troy 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)
26Neale 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)
27Enda 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)
28Peter 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)
29Ian 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)
30Todd 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)
31David 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)
32Andrew 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)
33Gavin 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)
34Adrian 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)
35Ward 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)
36Michael 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)
37Ben 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)
38Gary 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)
39Diego 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)
40Neill 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)
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 (0.73)

#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
4Jon Durand64 (7 descents, lowest -23% of band)0.03.7 (mean shared-climb pctile 55%)18
5Olav Opsanger36 (9 descents, lowest -35% of band)0.02.9 (mean shared-climb pctile 46%)19
6Guy Hubbard73 (6 descents, lowest 26% of band)0.05.3 (mean shared-climb pctile 52%)18
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
9Steve Docherty40 (8 descents, lowest 21% of band)0.02.1 (mean shared-climb pctile 51%)24
10Steve Blenkinsop37 (6 descents, lowest 12% of band)0.04.2 (mean shared-climb pctile 53%)18
11Rohan Holtkamp49 (10 descents, lowest -23% of band)0.01.9 (mean shared-climb pctile 53%)27
12Tony Cross49 (13 descents, lowest -19% of band)0.02.4 (mean shared-climb pctile 48%)22
13Peter Adriaans25 (7 descents, lowest -21% of band)0.02.3 (mean shared-climb pctile 49%)27
14Ken Millard47 (14 descents, lowest -13% of band)0.01.5 (mean shared-climb pctile 65%)33
15Dustan Hansen53 (10 descents, lowest 24% of band)0.03.2 (mean shared-climb pctile 54%)18
16Mitch Butler36 (11 descents, lowest -34% of band)1.0 (deepest save from 6% of band)2.4 (mean shared-climb pctile 49%)20
17Vic Hare41 (10 descents, lowest -14% of band)0.01.7 (mean shared-climb pctile 52%)28
18Trent Brown0 (8 descents, lowest -11% of band)3.0 (deepest save from -11% of band)3.4 (mean shared-climb pctile 55%)20
19Pawel Cedro23 (15 descents, lowest -29% of band)2.0 (deepest save from -5% of band)1.5 (mean shared-climb pctile 56%)33
20Neil Hooke18 (8 descents, lowest -6% of band)2.0 (deepest save from 3% of band)2.5 (mean shared-climb pctile 39%)21
21Nils Vesk20 (7 descents, lowest -6% of band)0.06.5 (mean shared-climb pctile 26%)13
22Bruce Atkinson22 (12 descents, lowest -21% of band)2.0 (deepest save from -19% of band)3.4 (mean shared-climb pctile 32%)15
23Grant Tatham34 (9 descents, lowest -22% of band)1.0 (deepest save from -19% of band)1.9 (mean shared-climb pctile 49%)21
24Paul Bissett-Amess27 (10 descents, lowest -12% of band)1.0 (deepest save from -8% of band)2.8 (mean shared-climb pctile 43%)29
25Troy Horton14 (8 descents, lowest -14% of band)1.0 (deepest save from -14% of band)2.0 (mean shared-climb pctile 52%)30
26Neale Halsall31 (9 descents, lowest -29% of band)0.01.9 (mean shared-climb pctile 47%)28
27Enda Carrigan57 (11 descents, lowest -10% of band)0.01.6 (mean shared-climb pctile 42%)26
28Peter Burkitt16 (9 descents, lowest -21% of band)1.0 (deepest save from 7% of band)2.2 (mean shared-climb pctile 47%)31
29Ian Miller28 (11 descents, lowest -12% of band)1.0 (deepest save from 13% of band)1.5 (mean shared-climb pctile 48%)34
30Todd Wisewould42 (10 descents, lowest -11% of band)1.0 (deepest save from -11% of band)1.9 (mean shared-climb pctile 46%)32
31David Drabble45 (9 descents, lowest -1% of band)1.0 (deepest save from 2% of band)1.7 (mean shared-climb pctile 45%)29
32Andrew Sutton42 (5 descents, lowest -11% of band)1.0 (deepest save from -11% of band)2.0 (mean shared-climb pctile 49%)34
33Gavin Nicholls36 (12 descents, lowest -9% of band)1.0 (deepest save from -9% of band)1.3 (mean shared-climb pctile 54%)36
34Adrian Connor62 (7 descents, lowest 27% of band)0.02.3 (mean shared-climb pctile 44%)19
35Ward Gunn18 (11 descents, lowest -5% of band)0.01.5 (mean shared-climb pctile 53%)31
36Michael Free18 (10 descents, lowest -26% of band)1.0 (deepest save from -2% of band)1.2 (mean shared-climb pctile 48%)36
37Ben Torrance51 (14 descents, lowest -16% of band)0.01.2 (mean shared-climb pctile 47%)32
38Gary Herman29 (7 descents, lowest -8% of band)0.02.6 (mean shared-climb pctile 65%)27
39Diego Mendonca34 (10 descents, lowest -15% of band)2.0 (deepest save from -12% of band)1.5 (mean shared-climb pctile 50%)36
40Neill Hollingsworth11 (12 descents, lowest -26% of band)3.0 (deepest save from -8% of band)1.1 (mean shared-climb pctile 61%)45
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 (0.57)

best: clear pattern (0.66)

Footnotes

1 pilot in the standings 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 average the vectors 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 §12.3.6). 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 distance of the final leg from goal. There is no expected direction: a marginal glide wins if it connects, and loses if it does not.