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Task 3 (Open)

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

ELLIOTELLIOTTOOMAPINEMTHALFWYTOWONGCORRYCORRY
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
47
Airtime
94h (13:10–17:51 AEDT)
Thermals
18447 shared by 2+ pilots
Working band
7861601 m
Airtime split
  • 31%climbing
  • 16%gliding
  • 53%searching

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 that one time axis, 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”.

The day's thermals

The 40 most-shared of 92 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.

StartPilotsHeight bandMean climbStrongest sideDetail
88001300 m+0.8 m/sN
98001700 m+1.6 m/sN
129001900 m+1.8 m/sN
159001700 m+1.2 m/sS
98001500 m+1.4 m/sSW
198001700 m+1.3 m/sN
512001500 m+1.1 m/sNE
218001600 m+1.1 m/sNW
228001600 m+1.3 m/sN
57001500 m+0.7 m/sNW
711001700 m+1.1 m/sSW
813001600 m+1.0 m/sSE
127001500 m+1.0 m/sNW
911001500 m+0.9 m/sS
1810001600 m+1.2 m/sNW
59001400 m+0.9 m/sNW
119001700 m+1.0 m/sSW
67001200 m+1.2 m/sW
108001600 m+1.4 m/sNW
710001400 m+1.1 m/sN
810001500 m+1.1 m/sNE
69001700 m+0.9 m/sS
910001300 m+0.8 m/sSE
810001500 m+1.3 m/sNE
511001600 m+1.0 m/sW
811001400 m+1.1 m/sNW
67001500 m+1.4 m/sSW
1110001400 m+0.8 m/sW
119001900 m+1.2 m/sSE
89001700 m+1.4 m/sS
510001600 m+1.6 m/sE
510001400 m+1.0 m/sSW
53001500 m+1.5 m/sNW
511001500 m+1.3 m/sE
614001800 m+1.3 m/sSW
119001900 m+1.5 m/sNW
510002100 m+2.0 m/sE
59001900 m+1.9 m/sSE
56001100 m+1.3 m/sS
511001700 m+1.5 m/sW

Thermal at 13:55 AEDT 22 pilots, 59 climbs

  • Wind 13.1 km/h from 250° (WSW), measured from 216 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 40° from vertical toward 84° (E), within 15° of downwind.
  • Strongest on the N side of the core at +1.7 m/s against +0.9 m/s on the S side.
  • Multiple cores in 1 of 8 bands between 1300 and 1400 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
Cedric Joyce-2.0 m/s+2.0 m/s+3.8 m/s
Peter Burkitt-4.0 m/s+1.8 m/s+4.8 m/s
Ken Millard-1.3 m/s+1.8 m/s+5.0 m/s
David Drabble-1.5 m/s+1.8 m/s+5.7 m/s
Vic Hare-2.5 m/s+1.5 m/s+5.8 m/s
Olav Opsanger-3.5 m/s+1.5 m/s+6.0 m/s
Pawel Cedro-1.5 m/s+1.5 m/s+5.3 m/s
Rory Duncan-1.5 m/s+1.3 m/s+3.3 m/s
Steve Docherty-1.0 m/s+1.3 m/s+4.0 m/s
Steve Blenkinsop-1.0 m/s+1.3 m/s+2.8 m/s
Guy Hubbard-2.0 m/s+1.0 m/s+3.5 m/s
Jon Durand-2.0 m/s+1.0 m/s+3.5 m/s
Mitch Butler-1.5 m/s+1.0 m/s+4.3 m/s
Neale Halsall-3.5 m/s+1.0 m/s+3.5 m/s
Tony Cross-1.0 m/s+1.0 m/s+2.5 m/s
Scott Barrett-1.5 m/s+1.0 m/s+4.8 m/s
Rich Reinauer-3.0 m/s+1.0 m/s+3.8 m/s
Gordon Rigg-0.8 m/s+1.0 m/s+3.5 m/s
Paul Bissett-Amess-1.5 m/s+0.8 m/s+1.8 m/s
Brett Davis-0.8 m/s+0.8 m/s+2.3 m/s
Andrew Sutton-1.0 m/s+0.8 m/s+1.8 m/s
Nils Vesk

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
15001600 m200 / 18492 m137 m+1.3 m/s+4.5 m/s25061
14001500 m101 / 73197 m395 m+1.3 m/s+6.0 m/s588141
13001400 m0 / 35201 m354 m+1.2 m/s+5.8 m/s1125193
12001300 m-76 / 18182 m346 m+1.4 m/s+5.7 m/s540111
11001200 m-196 / 64101 m273 m+1.8 m/s+4.3 m/s15741
10001100 m-266 / 6445 m64 m+2.4 m/s+5.0 m/s12331
9001000 m-306 / 5489 m198 m+1.4 m/s+3.8 m/s23341
800900 m-364 / 9773 m131 m+0.7 m/s+2.3 m/s8041

How to read this: each thermal pools every pilot's fixes through the same climb into 100 m altitude bands; a band's core is the lift-weighted centre of its fixes, so the rose and the sector readings are already normalised for the thermal's lean and drift. Wedge length is relative climb by side of the core; the dashed ring is the measured working radius and the dotted ring the widest the field ranged. The solid arrow is the wind measured from the pilots' circles; the dashed arrow is the weather model's wind for the same place, time and altitudes — a model run, not an observation.

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.

How often leaving the gaggle paid off

Each dot is a pilot. ρ = -0.65 (too few pilots, n = 6). No expected direction — the sign is the finding: larger values went with better ranks here. There is no trend curve. Too few pilots have a value to fit one that means anything. 41 pilots have no value and are not plotted, including the #1, #2 and #3 ranked pilots.
BehaviourStrengthWhat it meansPilots measured
How often leaving the gaggle paid off
too few pilots
Share of race time spent hunting for the next climb
clear pattern
Glide L/D against the field median
clear pattern
Low saves dug out from the bottom of the band
clear pattern
Share of lift turned in that was kept as a climb
clear pattern
How low the pilot gets between climbs
clear pattern
Time spent flying with a gaggle
some pattern
How much of the thermal the pilot climbed before leaving it
some pattern
Gliding wide of the optimal course line
could be chance
Share of the height gain made outside thermals
could be chance
Glide speed between climbs
could be chance
Share of the flight spent in air that wasn’t sinking
could be chance
How long after the gate opened the pilot started
could be chance
Time to core thermals
could be chance
Climbing faster than the pilots sharing the thermal
could be chance
Climb rate at thermal exit
could be chance
How round and consistent the circles were
could be chance
Climbs joined on another pilot's marker
could be chance
Distance covered between climbs
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 20 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.

1 behaviour was measured on fewer than 8 pilots — too few to tell either way, so read those rows as a hint at most.

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 lost against the fastest pilots, leg by leg
could be chance

The whole field at a glance

1. Nils Vesk
2. Rory Duncan
3. Tony Cross
4. Gordon Rigg
5. Jon Durand
6. Guy Hubbard
7. Vic Hare
8. Steve Docherty
9. Rich Reinauer
10. Ward Gunn
11. Rohan Holtkamp
12. Olav Opsanger
13. Ken Millard
14. Mitch Butler
15. Paul Bissett-Amess
16. Neale Halsall
17. Ian Miller
18. Pawel Cedro
19. Stuart Cathcart
20. Michael Free
21. Grant Tatham
22. John Harriott
23. Steve Blenkinsop
24. Neill Hollingsworth
25. Adrian Connor
26. Gary Herman
27. Todd Wisewould
28. Neil Hooke
29. Mark Jeffree
30. Jochen Zeischka
31. Andrew Sutton
32. Gavin Nicholls
33. Troy Horton
34. Bobby Gillham
35. Diego Mendonca
36. David Drabble
37. Cedric Joyce
38. Peter Garrone
39. Trent Brown
40. Brett Davis
41. Peter Burkitt
42. Enda Carrigan
43. Scott Barrett
44. Marty Hearne
45. Bruce Atkinson
46. Tushar Pokle
47. Wayne Johnston
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 AEscape artists

16 pilots · ranks 135 · median 12.5 · middle half 5.818.3

  • HighLow saves dug out from the bottom of the band group median P82 in this field (1.0 count)
  • LowShare of race time spent hunting for the next climb group median P21 in this field (39 percent) · usually a strength
  • LowShare of the height gain made outside thermals group median P22 in this field (16 percent)
  • HighHow much of the thermal the pilot climbed before leaving it group median P70 in this field (50 percent)
  • 1. Nils Vesk
  • 3. Tony Cross
  • 4. Gordon Rigg
  • 5. Jon Durand
  • 6. Guy Hubbard (most typical of this group)
  • 9. Rich Reinauer
  • 10. Ward Gunn
  • 12. Olav Opsanger
  • 13. Ken Millard
  • 15. Paul Bissett-Amess
  • 17. Ian Miller
  • 18. Pawel Cedro
  • 19. Stuart Cathcart
  • 25. Adrian Connor
  • 34. Bobby Gillham
  • 35. Diego Mendonca

Group BLift keepers

15 pilots · ranks 244 · median 23 · middle half 1534

  • HighShare of the flight spent in air that wasn’t sinking group median P83 in this field (65 percent)
  • LowTime to core thermals group median P22 in this field (30 seconds) · usually a strength
  • LowClimbing faster than the pilots sharing the thermal group median P24 in this field (62 percent) · usually costly
  • LowHow round and consistent the circles were group median P31 in this field (0.15 ratio) · usually a strength
  • 2. Rory Duncan
  • 7. Vic Hare
  • 8. Steve Docherty
  • 14. Mitch Butler
  • 16. Neale Halsall
  • 20. Michael Free
  • 22. John Harriott
  • 23. Steve Blenkinsop
  • 27. Todd Wisewould
  • 28. Neil Hooke
  • 32. Gavin Nicholls
  • 36. David Drabble
  • 38. Peter Garrone (most typical of this group)
  • 40. Brett Davis
  • 44. Marty Hearne

Group CLone wolves

9 pilots · ranks 1146 · median 29 · middle half 2439

  • LowTime spent flying with a gaggle group median P10 in this field (0 percent)
  • LowClimbs joined on another pilot's marker group median P14 in this field (0 percent)
  • HighClimbing faster than the pilots sharing the thermal group median P84 in this field (76 percent) · usually a strength
  • HighHow long after the gate opened the pilot started group median P84 in this field (6063 seconds) · usually costly
  • 11. Rohan Holtkamp
  • 21. Grant Tatham
  • 24. Neill Hollingsworth
  • 26. Gary Herman
  • 29. Mark Jeffree
  • 37. Cedric Joyce
  • 39. Trent Brown
  • 42. Enda Carrigan (most typical of this group)
  • 46. Tushar Pokle

Not clustered: 30. Jochen Zeischka — only 11 of 20 metrics available (needs ≥ 60%); 31. Andrew Sutton — only 9 of 20 metrics available (needs ≥ 60%); 33. Troy Horton — only 10 of 20 metrics available (needs ≥ 60%); 41. Peter Burkitt — only 9 of 20 metrics available (needs ≥ 60%); 43. Scott Barrett — only 11 of 20 metrics available (needs ≥ 60%); 45. Bruce Atkinson — only 9 of 20 metrics available (needs ≥ 60%); 47. Wayne Johnston — only 1 of 20 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, 40 pilots on 20 behavioural metrics formed 3 groups, with k searched from 2 to 6. The mean silhouette is 0.16. 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 (0.22)

best: clear pattern (0.54)

best: clear pattern (0.58)

One lane per behaviour, one dot per pilot, placed by percentile within the pilots that behaviour could be measured on — so a dot's position says where a pilot sat, never how spread the field was. Hover a pilot to light them up in every lane at once. Lanes run strongest separator first, the ones that separated nobody last; the table below keeps its usual order. Right is the end the behaviour is expected to be better at — whether it paid on this task is the ranking's question, not this chart's. † No good or bad direction: right is simply the larger value. A lane's count is the pilots it applied to; the rest have no value for it, which is not a score of zero.
#PilotGlideSpdGlideL/DSpeedToFlyWide%Dolphin%
1Nils Vesk50.7 (10 glides, 79 min gliding)1.04 (3 legs compared)0.3 (9 glide→climb pairs)31 (3 legs completed)6 (314 of 5384 m gained outside thermals)
2Rory Duncan48.6 (32 glides, 106 min gliding)0.94 (2 legs compared)3.0 (31 glide→climb pairs)28 (2 legs completed)20 (1157 of 5778 m gained outside thermals)
3Tony Cross52.7 (23 glides, 89 min gliding)1.03 (2 legs compared)5.1 (22 glide→climb pairs)37 (2 legs completed)17 (832 of 4856 m gained outside thermals)
4Gordon Rigg57.7 (34 glides, 87 min gliding)1.04 (2 legs compared)-0.8 (34 glide→climb pairs)60 (2 legs completed)15 (1083 of 7333 m gained outside thermals)
5Jon Durand59.2 (23 glides, 78 min gliding)1.03 (2 legs compared)-1.2 (22 glide→climb pairs)31 (2 legs completed)20 (900 of 4608 m gained outside thermals)
6Guy Hubbard60.3 (17 glides, 66 min gliding)1.06 (2 legs compared)-3.9 (16 glide→climb pairs)33 (2 legs completed)18 (735 of 4146 m gained outside thermals)
7Vic Hare63.2 (33 glides, 104 min gliding)1.07 (2 legs compared)2.1 (32 glide→climb pairs)85 (2 legs completed)27 (1628 of 5974 m gained outside thermals)
8Steve Docherty49.9 (25 glides, 81 min gliding)1.07 (2 legs compared)1.3 (24 glide→climb pairs)79 (2 legs completed)26 (1008 of 3809 m gained outside thermals)
9Rich Reinauer57.2 (18 glides, 57 min gliding)1.19 (2 legs compared)0.0 (17 glide→climb pairs)51 (2 legs completed)16 (526 of 3274 m gained outside thermals)
10Ward Gunn63.3 (12 glides, 57 min gliding)1.02 (1 leg compared)-1.5 (11 glide→climb pairs)26 (1 leg completed)17 (480 of 2855 m gained outside thermals)
11Rohan Holtkamp54.3 (4 glides, 33 min gliding)1.16 (1 leg compared)2 (1 leg completed)17 (179 of 1051 m gained outside thermals)
12Olav Opsanger57.5 (13 glides, 52 min gliding)0.99 (1 leg compared)2.9 (12 glide→climb pairs)90 (1 leg completed)17 (487 of 2830 m gained outside thermals)
13Ken Millard58.1 (38 glides, 73 min gliding)1.09 (1 leg compared)-1.8 (37 glide→climb pairs)120 (1 leg completed)51 (3844 of 7532 m gained outside thermals)
14Mitch Butler57.7 (23 glides, 85 min gliding)0.97 (1 leg compared)0.3 (22 glide→climb pairs)201 (1 leg completed)23 (1070 of 4617 m gained outside thermals)
15Paul Bissett-Amess57.5 (11 glides, 43 min gliding)1.05 (1 leg compared)2.9 (10 glide→climb pairs)72 (1 leg completed)17 (321 of 1905 m gained outside thermals)
16Neale Halsall60.7 (7 glides, 31 min gliding)1.15 (1 leg compared)7.1 (6 glide→climb pairs)23 (1 leg completed)26 (269 of 1039 m gained outside thermals)
17Ian Miller54.6 (8 glides, 35 min gliding)1.00 (1 leg compared)3.3 (7 glide→climb pairs)73 (1 leg completed)18 (377 of 2078 m gained outside thermals)
18Pawel Cedro61.0 (3 glides, 15 min gliding)0.94 (1 leg compared)27 (1 leg completed)13 (115 of 907 m gained outside thermals)
19Stuart Cathcart47.5 (12 glides, 51 min gliding)0.92 (1 leg compared)-5.8 (11 glide→climb pairs)102 (1 leg completed)11 (274 of 2438 m gained outside thermals)
20Michael Free54.0 (14 glides, 36 min gliding)0.78 (1 leg compared)0.0 (13 glide→climb pairs)5 (1 leg completed)35 (492 of 1391 m gained outside thermals)
21Grant Tatham49.7 (14 glides, 36 min gliding)0.89 (1 leg compared)-2.8 (13 glide→climb pairs)7 (1 leg completed)27 (557 of 2064 m gained outside thermals)
22John Harriott54.4 (10 glides, 34 min gliding)0.89 (1 leg compared)-0.8 (9 glide→climb pairs)49 (1 leg completed)42 (407 of 972 m gained outside thermals)
23Steve Blenkinsop56.0 (4 glides, 17 min gliding)24 (146 of 598 m gained outside thermals)
24Neill Hollingsworth51.9 (4 glides, 20 min gliding)0.73 (1 leg compared)23 (1 leg completed)31 (250 of 817 m gained outside thermals)
25Adrian Connor48.4 (11 glides, 38 min gliding)0.83 (1 leg compared)2.4 (10 glide→climb pairs)25 (1 leg completed)16 (265 of 1662 m gained outside thermals)
26Gary Herman57.4 (7 glides, 28 min gliding)1.00 (1 leg compared)9.7 (6 glide→climb pairs)10 (1 leg completed)24 (214 of 903 m gained outside thermals)
27Todd Wisewould63.6 (2 glides, 19 min gliding)32 (181 of 566 m gained outside thermals)
28Neil Hooke58.5 (4 glides, 21 min gliding)17 (100 of 578 m gained outside thermals)
29Mark Jeffree49.4 (8 glides, 31 min gliding)2.6 (7 glide→climb pairs)42 (279 of 673 m gained outside thermals)
30Jochen Zeischka55.2 (1 glides, 12 min gliding)
31Andrew Sutton
32Gavin Nicholls57.0 (5 glides, 21 min gliding)0.0 (4 glide→climb pairs)30 (226 of 740 m gained outside thermals)
33Troy Horton
34Bobby Gillham55.2 (1 glides, 18 min gliding)1 (5 of 523 m gained outside thermals)
35Diego Mendonca61.6 (7 glides, 27 min gliding)-4.8 (6 glide→climb pairs)14 (211 of 1554 m gained outside thermals)
36David Drabble60.9 (3 glides, 12 min gliding)47 (194 of 415 m gained outside thermals)
37Cedric Joyce46.8 (6 glides, 20 min gliding)1.0 (5 glide→climb pairs)24 (113 of 472 m gained outside thermals)
38Peter Garrone54.3 (4 glides, 17 min gliding)20 (92 of 450 m gained outside thermals)
39Trent Brown54.5 (2 glides, 15 min gliding)26 (138 of 522 m gained outside thermals)
40Brett Davis52.2 (1 glides, 19 min gliding)3 (17 of 507 m gained outside thermals)
41Peter Burkitt
42Enda Carrigan52.9 (2 glides, 11 min gliding)
43Scott Barrett51.8 (1 glides, 3 min gliding)
44Marty Hearne49.6 (6 glides, 22 min gliding)4.5 (5 glide→climb pairs)31 (290 of 939 m gained outside thermals)
45Bruce Atkinson
46Tushar Pokle44.0 (5 glides, 19 min gliding)1.2 (4 glide→climb pairs)35 (140 of 396 m gained outside thermals)
47Wayne Johnston

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 54.9 km/h · p90 61.0 km/h (42 pilots)

best: clear pattern (0.65)

One lane per behaviour, one dot per pilot, placed by percentile within the pilots that behaviour could be measured on — so a dot's position says where a pilot sat, never how spread the field was. Hover a pilot to light them up in every lane at once. Lanes run strongest separator first, the ones that separated nobody last; the table below keeps its usual order. Right is the end the behaviour is expected to be better at — whether it paid on this task is the ranking's question, not this chart's. † No good or bad direction: right is simply the larger value. A lane's count is the pilots it applied to; the rest have no value for it, which is not a score of zero.
#PilotFloor%LowSaveskm/climbSearch%
1Nils Vesk16 (8 descents, lowest -16% of band)4.0 (deepest save from -35% of band)4.1 (mean shared-climb pctile 30%)20
2Rory Duncan14 (14 descents, lowest -32% of band)0.01.1 (mean shared-climb pctile 53%)45
3Tony Cross18 (11 descents, lowest -17% of band)2.0 (deepest save from -7% of band)1.5 (mean shared-climb pctile 54%)36
4Gordon Rigg20 (15 descents, lowest -50% of band)3.0 (deepest save from -50% of band)0.9 (mean shared-climb pctile 62%)40
5Jon Durand9 (6 descents, lowest -2% of band)1.0 (deepest save from 4% of band)1.3 (mean shared-climb pctile 48%)31
6Guy Hubbard27 (8 descents, lowest -49% of band)1.0 (deepest save from -23% of band)1.6 (mean shared-climb pctile 45%)35
7Vic Hare14 (10 descents, lowest -10% of band)0.00.8 (mean shared-climb pctile 52%)48
8Steve Docherty23 (10 descents, lowest -30% of band)0.00.9 (mean shared-climb pctile 46%)45
9Rich Reinauer-0 (9 descents, lowest -24% of band)1.0 (deepest save from 11% of band)1.3 (mean shared-climb pctile 52%)42
10Ward Gunn-4 (5 descents, lowest -45% of band)2.0 (deepest save from -30% of band)1.4 (mean shared-climb pctile 56%)49
11Rohan Holtkamp0.06.3 (mean shared-climb pctile 59%)34
12Olav Opsanger26 (7 descents, lowest -18% of band)0.01.4 (mean shared-climb pctile 58%)34
13Ken Millard7 (13 descents, lowest -24% of band)1.0 (deepest save from -26% of band)0.5 (mean shared-climb pctile 58%)53
14Mitch Butler23 (8 descents, lowest -3% of band)0.00.7 (mean shared-climb pctile 46%)47
15Paul Bissett-Amess-8 (5 descents, lowest -19% of band)1.0 (deepest save from 7% of band)1.6 (mean shared-climb pctile 44%)37
16Neale Halsall23 (3 descents, lowest -36% of band)0.02.7 (mean shared-climb pctile 47%)52
17Ian Miller56 (3 descents, lowest 11% of band)0.01.2 (mean shared-climb pctile 48%)39
18Pawel Cedro1.0 (deepest save from -18% of band)5.6 (mean shared-climb pctile 62%)32
19Stuart Cathcart29 (5 descents, lowest -36% of band)1.0 (deepest save from -20% of band)1.4 (mean shared-climb pctile 42%)40
20Michael Free-11 (3 descents, lowest -27% of band)0.01.2 (mean shared-climb pctile 34%)63
21Grant Tatham-4 (4 descents, lowest -24% of band)0.00.8 (mean shared-climb pctile 56%)53
22John Harriott-26 (3 descents, lowest -48% of band)0.01.4 (mean shared-climb pctile 46%)58
23Steve Blenkinsop0.046
24Neill Hollingsworth-11 (2 descents, lowest -14% of band)0.02.2 (mean shared-climb pctile 76%)56
25Adrian Connor-12 (3 descents, lowest -18% of band)1.0 (deepest save from -13% of band)38
26Gary Herman7 (3 descents, lowest -47% of band)0.052
27Todd Wisewould0.053
28Neil Hooke0.050
29Mark Jeffree-14 (3 descents, lowest -37% of band)0.059
30Jochen Zeischka0.066
31Andrew Sutton0.054
32Gavin Nicholls1.0 (deepest save from 4% of band)73
33Troy Horton0.049
34Bobby Gillham0.050
35Diego Mendonca0.046
36David Drabble0.073
37Cedric Joyce-7 (4 descents, lowest -32% of band)0.065
38Peter Garrone0.058
39Trent Brown0.050
40Brett Davis0.056
41Peter Burkitt0.081
42Enda Carrigan0.075
43Scott Barrett0.057
44Marty Hearne-2 (2 descents, lowest -15% of band)0.075
45Bruce Atkinson0.017
46Tushar Pokle0.071
47Wayne Johnston

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 18/23/30% · glide 21/26/31% · search 40/50/58%

best: too few pilots (0.65)

One lane per behaviour, one dot per pilot, placed by percentile within the pilots that behaviour could be measured on — so a dot's position says where a pilot sat, never how spread the field was. Hover a pilot to light them up in every lane at once. Lanes run strongest separator first, the ones that separated nobody last; the table below keeps its usual order. Right is the end the behaviour is expected to be better at — whether it paid on this task is the ranking's question, not this chart's. † No good or bad direction: right is simply the larger value. A lane's count is the pilots it applied to; the rest have no value for it, which is not a score of zero.
#PilotInGaggle%Marked%LeaveWin%
1Nils Vesk2325 (4/16 climbs marked)
2Rory Duncan50 (0/52 climbs marked)
3Tony Cross4630 (11/37 climbs marked)
4Gordon Rigg52 (1/61 climbs marked)
5Jon Durand7427 (11/41 climbs marked)100 (1W–0L (1 departure))
6Guy Hubbard1226 (9/34 climbs marked)100 (1W–0L (1 departure))
7Vic Hare2619 (13/68 climbs marked)
8Steve Docherty4627 (12/44 climbs marked)
9Rich Reinauer1620 (5/25 climbs marked)100 (1W–0L (1 departure))
10Ward Gunn1513 (3/23 climbs marked)
11Rohan Holtkamp230 (0/5 climbs marked)
12Olav Opsanger3818 (4/22 climbs marked)
13Ken Millard5142 (25/59 climbs marked)100 (1W–0L (1 departure))
14Mitch Butler5316 (7/44 climbs marked)100 (1W–0L (1 departure))
15Paul Bissett-Amess1839 (7/18 climbs marked)
16Neale Halsall3522 (2/9 climbs marked)
17Ian Miller5030 (6/20 climbs marked)
18Pawel Cedro140 (0/4 climbs marked)
19Stuart Cathcart5413 (2/16 climbs marked)0 (0W–1L (1 departure))
20Michael Free300 (0/19 climbs marked)
21Grant Tatham1315 (4/26 climbs marked)
22John Harriott6633 (5/15 climbs marked)
23Steve Blenkinsop09 (1/11 climbs marked)
24Neill Hollingsworth00 (0/9 climbs marked)
25Adrian Connor2618 (3/17 climbs marked)
26Gary Herman3620 (2/10 climbs marked)
27Todd Wisewould4750 (3/6 climbs marked)
28Neil Hooke2625 (1/4 climbs marked)
29Mark Jeffree00 (0/13 climbs marked)
30Jochen Zeischka5
31Andrew Sutton76
32Gavin Nicholls5238 (3/8 climbs marked)
33Troy Horton31
34Bobby Gillham6
35Diego Mendonca2850 (6/12 climbs marked)
36David Drabble170 (0/6 climbs marked)
37Cedric Joyce00 (0/7 climbs marked)
38Peter Garrone1840 (2/5 climbs marked)
39Trent Brown00 (0/7 climbs marked)
40Brett Davis23
41Peter Burkitt0
42Enda Carrigan00 (0/3 climbs marked)
43Scott Barrett0
44Marty Hearne2030 (3/10 climbs marked)
45Bruce Atkinson0
46Tushar Pokle00 (0/6 climbs marked)
47Wayne Johnston

Time spent flying with a gaggle

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.

47 gaggle episodes detected (peak size 5 pilots).

best: could be chance (0.19)

Footnotes

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.