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Task 3 (Open)

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

ELLIOTELLIOTTINTALCUDGWEKANGCKTOOMACORRYCORRYCORRY
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
108h (13:00–17:34 AEDT)
Thermals
18758 shared by 2+ pilots
Working band
9112155 m
Airtime split
  • 37%climbing
  • 27%gliding
  • 36%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 117 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
78001500 m+1.4 m/sW
89001700 m+1.6 m/sSW
813002000 m+1.0 m/sNW
87001800 m+1.6 m/sSW
88002200 m+1.7 m/sNE
88002000 m+1.1 m/sE
1011002300 m+1.7 m/sSE
615002300 m+2.0 m/sNE
68001900 m+2.0 m/sNW
118002300 m+1.9 m/sW
814002400 m+1.6 m/sN
178002500 m+1.8 m/sN
810002100 m+1.8 m/sN
716002600 m+1.7 m/sSW
911002400 m+2.1 m/sW
612002300 m+1.8 m/sSE
59002000 m+1.6 m/sSW
77001900 m+1.1 m/sNW
1010002200 m+1.5 m/sS
616002300 m+1.3 m/sS
611001800 m+1.6 m/sSE
711002400 m+1.6 m/sNW
910001900 m+1.8 m/sNW
510002200 m+2.4 m/sSW
1118002500 m+1.9 m/sW
915002300 m+1.9 m/sE
914002400 m+2.0 m/sNE
89002300 m+1.8 m/sSE
810002600 m+2.2 m/sSE
67001400 m+1.5 m/sSW
68001700 m+1.3 m/sE
910001800 m+1.4 m/sE
711001900 m+1.3 m/sW
89001700 m+1.8 m/sSE
512002600 m+2.2 m/sSW
711002600 m+1.8 m/sSE
119002300 m+2.0 m/sNW
68001900 m+0.9 m/sN
711002100 m+1.5 m/sSW
137002000 m+1.6 m/sSW

Thermal at 13:51 AEDT 17 pilots, 49 climbs

  • Wind 9.8 km/h from 260° (W), measured from 305 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 16° from vertical toward 120° (ESE), within 40° of downwind.
  • Strongest on the N side of the core at +2.0 m/s against +1.8 m/s on the S side.
  • Multiple cores in 8 of 17 bands between 900 and 2200 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
Olav Opsanger-0.8 m/s+2.3 m/s+13.0 m/s
Enda Carrigan-3.0 m/s+2.3 m/s+10.0 m/s
Peter Burkitt-1.0 m/s+2.0 m/s+5.5 m/s
Richard Martin-0.5 m/s+2.0 m/s+4.8 m/s
Jay Kubeil-2.0 m/s+1.8 m/s+4.8 m/s
Andrew Sutton-0.7 m/s+1.8 m/s+4.3 m/s
Peter Garrone-2.0 m/s+1.8 m/s+6.8 m/s
Steve Docherty-2.0 m/s+1.5 m/s+4.3 m/s
Adrian Connor-0.8 m/s+1.5 m/s+3.0 m/s
Peter Tolhurst-2.0 m/s+1.3 m/s+3.5 m/s
Gary Herman-1.5 m/s+1.3 m/s+3.3 m/s
Bruce Atkinson+1.0 m/s+1.0 m/s+1.0 m/s
Rory Duncan-0.5 m/s+0.8 m/s+2.3 m/s
Todd Wisewould-2.0 m/s+0.8 m/s+3.3 m/s
Hossain Tefaili-0.5 m/s+0.8 m/s+1.5 m/s
James McGinty-1.0 m/s+0.8 m/s+2.7 m/s
Mario Chapa

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
24002500 m63 / -13370 m131 m+0.6 m/s+1.8 m/s2811
23002400 m170 / -55111 m187 m+1.2 m/s+3.0 m/s10131
22002300 m150 / -84119 m218 m+1.1 m/s+3.0 m/s9431
21002200 m169 / 1143 m240 m+0.9 m/s+3.5 m/s27472
20002100 m103 / -59202 m345 m+1.3 m/s+4.8 m/s46992
19002000 m14 / -67203 m302 m+1.7 m/s+5.8 m/s46794
18001900 m-39 / -49200 m269 m+2.1 m/s+5.3 m/s37193
17001800 m-62 / -61200 m258 m+2.5 m/s+6.0 m/s29683
16001700 m-101 / -55212 m271 m+2.7 m/s+8.3 m/s23083
15001600 m-125 / -91175 m231 m+2.6 m/s+10.8 m/s20971
14001500 m-149 / -69139 m226 m+1.9 m/s+9.3 m/s30671
13001400 m-158 / -36101 m173 m+2.5 m/s+13.0 m/s17961
12001300 m-122 / 083 m161 m+2.6 m/s+5.7 m/s9731
11001200 m-123 / 13120 m417 m+2.6 m/s+10.0 m/s9841
10001100 m-131 / 203224 m274 m+1.6 m/s+4.3 m/s22362
9001000 m-158 / 149207 m290 m+1.1 m/s+3.3 m/s32982
800900 m-174 / 4054 m78 m+0.9 m/s+2.3 m/s2521

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.

Glide speed between climbs

Each dot is a pilot. ρ = -0.83 (clear pattern, n = 45). 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 45 to about rank 7. 3 pilots have no value and are not plotted.
  • Field glide speed: median 54.4 km/h · p90 63.3 km/h (45 pilots)
BehaviourStrengthWhat it meansPilots measured
Glide speed between climbs
clear pattern
Share of race time spent hunting for the next climb
clear pattern
Time spent flying with a gaggle
clear pattern
How long after the gate opened the pilot started
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 often leaving the gaggle paid off
clear pattern
Climbs joined on another pilot's marker
clear pattern
Arriving at ESS with height to spare
could be chance
Share of the height gain made outside thermals
some pattern
How much of the thermal the pilot climbed before leaving it
some pattern
Gliding faster when the next climb is stronger
could be chance
How low the pilot gets between climbs
could be chance
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
How round and consistent the circles were
could be chance
Gliding wide of the optimal course line
could be chance
Distance covered between climbs
could be chance
Climb rate at thermal exit
could be chance
Time to core thermals
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
could be chance

The whole field at a glance

1. Olav Opsanger
2. Rory Duncan
3. Trent Brown
4. Mitch Butler
5. Steve Docherty
6. Bruce Wynne
7. Steven Crosby
8. Neale Halsall
9. Rohan Taylor
10. Steve Blenkinsop
11. Peter Adriaans
12. Jon Durand
13. Richard Martin
14. Dustan Hansen
15. Todd Wisewould
16. Stuart Cathcart
17. Jay Kubeil
18. Vic Hare
19. Neil Hooke
20. James Atkinson
21. Adrian Connor
22. Enda Carrigan
23. Hughbert Alexander
24. Bruce Atkinson
25. Peter Burkitt
26. Hossain Tefaili
27. Tushar Pokle
28. Gary Herman
29. Neill Hollingsworth
30. Peter Tolhurst
31. Mario Chapa
32. Andrew Sutton
33. James McGinty
34. Peter Garrone
35. Damian Hamilton
36. Mark Jeffree
37. Andrew Taylor
38. Cedric Joyce
39. Wayne Johnston
40. Michael Free
41. Troy Horton
42. Rennick Kerr
43. Brett Davis
44. John Harriott
45. Andrew Berenyi
46. Ward Gunn
47. Marty Hearne
48. Jason Lannstrom
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 ACommitted racers

31 pilots · ranks 138 · median 16 · middle half 8.523.5

  • LowShare of race time spent hunting for the next climb group median P33 in this field (30 percent) · usually a strength
  • HighTime spent flying with a gaggle group median P67 in this field (46 percent)
  • HighGlide speed between climbs group median P66 in this field (59.2 kilometres per hour) · usually a strength
  • LowShare of the height gain made outside thermals group median P35 in this field (12 percent)
  • 1. Olav Opsanger
  • 2. Rory Duncan
  • 3. Trent Brown
  • 4. Mitch Butler
  • 5. Steve Docherty (most typical of this group)
  • 6. Bruce Wynne
  • 7. Steven Crosby
  • 8. Neale Halsall
  • 9. Rohan Taylor
  • 10. Steve Blenkinsop
  • 11. Peter Adriaans
  • 12. Jon Durand
  • 13. Richard Martin
  • 14. Dustan Hansen
  • 15. Todd Wisewould
  • 16. Stuart Cathcart
  • 17. Jay Kubeil
  • 18. Vic Hare
  • 19. Neil Hooke
  • 20. James Atkinson
  • 21. Adrian Connor
  • 22. Enda Carrigan
  • 23. Hughbert Alexander
  • 24. Bruce Atkinson
  • 25. Peter Burkitt
  • 26. Hossain Tefaili
  • 28. Gary Herman
  • 31. Mario Chapa
  • 32. Andrew Sutton
  • 34. Peter Garrone
  • 38. Cedric Joyce

Group BSelf-finders

13 pilots · ranks 2744 · median 37 · middle half 3341

  • LowClimbs joined on another pilot's marker group median P12 in this field (0 percent)
  • LowTime spent flying with a gaggle group median P13 in this field (0 percent)
  • HighShare of the height gain made outside thermals group median P86 in this field (34 percent)
  • LowGlide L/D against the field median group median P15 in this field (0.84 ratio) · usually costly
  • 27. Tushar Pokle
  • 29. Neill Hollingsworth
  • 30. Peter Tolhurst
  • 33. James McGinty
  • 35. Damian Hamilton
  • 36. Mark Jeffree
  • 37. Andrew Taylor
  • 39. Wayne Johnston
  • 40. Michael Free
  • 41. Troy Horton
  • 42. Rennick Kerr (most typical of this group)
  • 43. Brett Davis
  • 44. John Harriott

Not clustered: 45. Andrew Berenyi — only 11 of 21 metrics available (needs ≥ 60%); 46. Ward Gunn — only 5 of 21 metrics available (needs ≥ 60%); 47. Marty Hearne — only 2 of 21 metrics available (needs ≥ 60%); 48. Jason Lannstrom — only 6 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 0.25. 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 (0.19)

best: clear pattern (0.56)

best: clear pattern (0.83)

#PilotGlideSpdGlideL/DSpeedToFlyWide%Dolphin%
1Olav Opsanger64.5 (26 glides, 91 min gliding)1.02 (5 legs compared)3.7 (25 glide→climb pairs)32 (5 legs completed)24 (1948 of 8113 m gained outside thermals)
2Rory Duncan64.6 (17 glides, 83 min gliding)0.99 (5 legs compared)1.8 (16 glide→climb pairs)28 (5 legs completed)9 (667 of 7403 m gained outside thermals)
3Trent Brown62.2 (26 glides, 86 min gliding)0.91 (5 legs compared)4.7 (25 glide→climb pairs)23 (5 legs completed)14 (1001 of 7288 m gained outside thermals)
4Mitch Butler61.8 (27 glides, 95 min gliding)1.12 (5 legs compared)1.6 (26 glide→climb pairs)33 (5 legs completed)12 (837 of 6977 m gained outside thermals)
5Steve Docherty59.4 (26 glides, 95 min gliding)1.07 (5 legs compared)0.8 (25 glide→climb pairs)25 (5 legs completed)12 (770 of 6546 m gained outside thermals)
6Bruce Wynne66.3 (13 glides, 81 min gliding)0.95 (5 legs compared)1.7 (12 glide→climb pairs)32 (5 legs completed)2 (184 of 8120 m gained outside thermals)
7Steven Crosby62.2 (24 glides, 103 min gliding)1.09 (5 legs compared)-1.1 (23 glide→climb pairs)41 (5 legs completed)12 (889 of 7595 m gained outside thermals)
8Neale Halsall63.3 (29 glides, 100 min gliding)0.96 (5 legs compared)2.0 (28 glide→climb pairs)39 (5 legs completed)19 (1532 of 7941 m gained outside thermals)
9Rohan Taylor62.1 (41 glides, 118 min gliding)1.13 (4 legs compared)3.9 (40 glide→climb pairs)43 (4 legs completed)18 (1435 of 8076 m gained outside thermals)
10Steve Blenkinsop56.4 (23 glides, 111 min gliding)1.23 (4 legs compared)3.7 (22 glide→climb pairs)27 (4 legs completed)11 (701 of 6421 m gained outside thermals)
11Peter Adriaans56.9 (24 glides, 97 min gliding)1.02 (4 legs compared)-1.1 (23 glide→climb pairs)33 (4 legs completed)15 (1071 of 7194 m gained outside thermals)
12Jon Durand59.2 (20 glides, 92 min gliding)0.94 (4 legs compared)2.9 (19 glide→climb pairs)26 (4 legs completed)11 (746 of 6996 m gained outside thermals)
13Richard Martin58.8 (24 glides, 119 min gliding)1.11 (4 legs compared)4.6 (23 glide→climb pairs)23 (4 legs completed)14 (898 of 6607 m gained outside thermals)
14Dustan Hansen59.6 (23 glides, 86 min gliding)1.11 (4 legs compared)-0.7 (22 glide→climb pairs)29 (4 legs completed)19 (1013 of 5352 m gained outside thermals)
15Todd Wisewould63.4 (29 glides, 108 min gliding)1.04 (4 legs compared)0.7 (28 glide→climb pairs)32 (4 legs completed)19 (1220 of 6393 m gained outside thermals)
16Stuart Cathcart54.4 (12 glides, 95 min gliding)1.09 (4 legs compared)10.5 (11 glide→climb pairs)36 (4 legs completed)4 (285 of 6667 m gained outside thermals)
17Jay Kubeil53.9 (22 glides, 95 min gliding)1.00 (4 legs compared)0.8 (21 glide→climb pairs)21 (4 legs completed)14 (829 of 5968 m gained outside thermals)
18Vic Hare66.3 (14 glides, 69 min gliding)1.14 (3 legs compared)5.1 (13 glide→climb pairs)28 (3 legs completed)8 (433 of 5202 m gained outside thermals)
19Neil Hooke56.1 (18 glides, 75 min gliding)1.02 (3 legs compared)-0.3 (17 glide→climb pairs)23 (3 legs completed)12 (608 of 5219 m gained outside thermals)
20James Atkinson56.8 (19 glides, 75 min gliding)1.03 (3 legs compared)-0.9 (18 glide→climb pairs)31 (3 legs completed)17 (854 of 5094 m gained outside thermals)
21Adrian Connor52.6 (13 glides, 75 min gliding)0.88 (3 legs compared)-1.8 (12 glide→climb pairs)13 (3 legs completed)8 (400 of 4716 m gained outside thermals)
22Enda Carrigan63.0 (16 glides, 70 min gliding)0.94 (3 legs compared)-1.5 (15 glide→climb pairs)25 (3 legs completed)13 (661 of 5198 m gained outside thermals)
23Hughbert Alexander56.7 (17 glides, 52 min gliding)1.21 (2 legs compared)-2.4 (17 glide→climb pairs)32 (2 legs completed)19 (717 of 3700 m gained outside thermals)
24Bruce Atkinson49.1 (7 glides, 67 min gliding)1.05 (2 legs compared)-0.4 (6 glide→climb pairs)25 (2 legs completed)7 (274 of 3844 m gained outside thermals)
25Peter Burkitt61.4 (11 glides, 47 min gliding)0.93 (2 legs compared)4.3 (10 glide→climb pairs)32 (2 legs completed)13 (475 of 3618 m gained outside thermals)
26Hossain Tefaili59.7 (11 glides, 58 min gliding)0.93 (2 legs compared)2.0 (10 glide→climb pairs)36 (2 legs completed)18 (658 of 3673 m gained outside thermals)
27Tushar Pokle44.8 (16 glides, 69 min gliding)0.81 (2 legs compared)0.6 (15 glide→climb pairs)38 (2 legs completed)16 (553 of 3514 m gained outside thermals)
28Gary Herman50.7 (11 glides, 61 min gliding)0.88 (2 legs compared)-3.1 (10 glide→climb pairs)21 (2 legs completed)10 (360 of 3594 m gained outside thermals)
29Neill Hollingsworth49.8 (19 glides, 49 min gliding)0.51 (2 legs compared)1.4 (18 glide→climb pairs)18 (2 legs completed)22 (1326 of 6028 m gained outside thermals)
30Peter Tolhurst50.4 (13 glides, 33 min gliding)0.88 (1 leg compared)-0.8 (12 glide→climb pairs)58 (1 leg completed)34 (472 of 1385 m gained outside thermals)
31Mario Chapa46.2 (1 glides, 21 min gliding)1.00 (1 leg compared)47 (1 leg completed)3 (31 of 1122 m gained outside thermals)
32Andrew Sutton49.4 (5 glides, 19 min gliding)0.94 (1 leg compared)0.2 (4 glide→climb pairs)22 (1 leg completed)22 (144 of 669 m gained outside thermals)
33James McGinty47.0 (4 glides, 19 min gliding)0.79 (1 leg compared)33 (1 leg completed)20 (180 of 915 m gained outside thermals)
34Peter Garrone51.1 (5 glides, 19 min gliding)0.84 (1 leg compared)3.4 (4 glide→climb pairs)18 (1 leg completed)10 (83 of 818 m gained outside thermals)
35Damian Hamilton47.9 (5 glides, 30 min gliding)0.77 (1 leg compared)2.2 (4 glide→climb pairs)52 (1 leg completed)14 (273 of 1953 m gained outside thermals)
36Mark Jeffree47.9 (12 glides, 52 min gliding)0.78 (1 leg compared)-1.3 (11 glide→climb pairs)87 (1 leg completed)23 (568 of 2417 m gained outside thermals)
37Andrew Taylor48.1 (15 glides, 46 min gliding)1.02 (1 leg compared)-0.5 (14 glide→climb pairs)96 (1 leg completed)37 (531 of 1429 m gained outside thermals)
38Cedric Joyce43.0 (4 glides, 44 min gliding)0.77 (1 leg compared)95 (1 leg completed)7 (129 of 1789 m gained outside thermals)
39Wayne Johnston42.2 (5 glides, 24 min gliding)0.87 (1 leg compared)-0.3 (4 glide→climb pairs)18 (1 leg completed)36 (130 of 357 m gained outside thermals)
40Michael Free52.0 (3 glides, 22 min gliding)0.91 (1 leg compared)42 (1 leg completed)13 (139 of 1053 m gained outside thermals)
41Troy Horton48.9 (6 glides, 18 min gliding)0.92 (1 leg compared)4.2 (5 glide→climb pairs)16 (1 leg completed)35 (164 of 466 m gained outside thermals)
42Rennick Kerr43.0 (5 glides, 21 min gliding)1.5 (4 glide→climb pairs)35 (288 of 824 m gained outside thermals)
43Brett Davis46.6 (7 glides, 20 min gliding)0.6 (6 glide→climb pairs)45 (173 of 383 m gained outside thermals)
44John Harriott52.3 (3 glides, 12 min gliding)60 (156 of 259 m gained outside thermals)
45Andrew Berenyi35.4 (1 glides, 5 min gliding)
46Ward Gunn
47Marty Hearne
48Jason Lannstrom

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 54.4 km/h · p90 63.3 km/h (45 pilots)

best: clear pattern (0.74)

#PilotFloor%LowSaveskm/climbSearch%
1Olav Opsanger21 (18 descents, lowest -39% of band)1.0 (deepest save from 2% of band)1.4 (mean shared-climb pctile 61%)32
2Rory Duncan30 (11 descents, lowest -11% of band)2.0 (deepest save from -11% of band)2.7 (mean shared-climb pctile 57%)21
3Trent Brown15 (14 descents, lowest -10% of band)1.0 (deepest save from -7% of band)1.7 (mean shared-climb pctile 53%)30
4Mitch Butler28 (15 descents, lowest -15% of band)1.0 (deepest save from 11% of band)1.5 (mean shared-climb pctile 41%)27
5Steve Docherty23 (13 descents, lowest -9% of band)1.0 (deepest save from 8% of band)1.8 (mean shared-climb pctile 55%)30
6Bruce Wynne22 (12 descents, lowest -12% of band)4.0 (deepest save from -4% of band)3.7 (mean shared-climb pctile 42%)16
7Steven Crosby19 (15 descents, lowest -3% of band)2.0 (deepest save from 7% of band)1.7 (mean shared-climb pctile 52%)30
8Neale Halsall22 (15 descents, lowest -7% of band)0.01.2 (mean shared-climb pctile 48%)37
9Rohan Taylor14 (16 descents, lowest -16% of band)2.0 (deepest save from 4% of band)1.0 (mean shared-climb pctile 51%)37
10Steve Blenkinsop6 (8 descents, lowest -20% of band)2.0 (deepest save from -16% of band)2.1 (mean shared-climb pctile 52%)31
11Peter Adriaans8 (11 descents, lowest -18% of band)3.0 (deepest save from -5% of band)1.3 (mean shared-climb pctile 46%)26
12Jon Durand27 (12 descents, lowest -2% of band)2.0 (deepest save from 1% of band)2.2 (mean shared-climb pctile 53%)29
13Richard Martin8 (12 descents, lowest -12% of band)2.0 (deepest save from -11% of band)1.8 (mean shared-climb pctile 44%)39
14Dustan Hansen42 (11 descents, lowest -10% of band)0.02.0 (mean shared-climb pctile 55%)26
15Todd Wisewould23 (9 descents, lowest -3% of band)1.0 (deepest save from 12% of band)1.3 (mean shared-climb pctile 46%)38
16Stuart Cathcart28 (9 descents, lowest -29% of band)2.0 (deepest save from -27% of band)2.9 (mean shared-climb pctile 41%)27
17Jay Kubeil36 (9 descents, lowest 0% of band)1.0 (deepest save from -3% of band)2.0 (mean shared-climb pctile 56%)28
18Vic Hare22 (6 descents, lowest 1% of band)2.0 (deepest save from 7% of band)2.7 (mean shared-climb pctile 58%)27
19Neil Hooke45 (8 descents, lowest 11% of band)1.0 (deepest save from 15% of band)2.1 (mean shared-climb pctile 43%)29
20James Atkinson37 (9 descents, lowest -31% of band)0.01.6 (mean shared-climb pctile 48%)30
21Adrian Connor31 (8 descents, lowest -15% of band)1.0 (deepest save from -6% of band)2.3 (mean shared-climb pctile 49%)27
22Enda Carrigan22 (6 descents, lowest -10% of band)0.02.1 (mean shared-climb pctile 53%)35
23Hughbert Alexander22 (12 descents, lowest -50% of band)0.01.5 (mean shared-climb pctile 56%)31
24Bruce Atkinson-14 (4 descents, lowest -18% of band)2.0 (deepest save from -13% of band)3.1 (mean shared-climb pctile 38%)27
25Peter Burkitt25 (5 descents, lowest 10% of band)1.0 (deepest save from 15% of band)1.8 (mean shared-climb pctile 46%)36
26Hossain Tefaili23 (4 descents, lowest -26% of band)1.0 (deepest save from 0% of band)1.6 (mean shared-climb pctile 56%)43
27Tushar Pokle52 (7 descents, lowest 28% of band)0.01.6 (mean shared-climb pctile 39%)37
28Gary Herman17 (5 descents, lowest -27% of band)1.0 (deepest save from 11% of band)2.0 (mean shared-climb pctile 53%)40
29Neill Hollingsworth9 (20 descents, lowest -45% of band)1.0 (deepest save from -21% of band)1.1 (mean shared-climb pctile 56%)38
30Peter Tolhurst-13 (2 descents, lowest -19% of band)0.01.1 (mean shared-climb pctile 50%)42
31Mario Chapa0.08
32Andrew Sutton0.057
33James McGinty1.0 (deepest save from 8% of band)45
34Peter Garrone0.029
35Damian Hamilton0.047
36Mark Jeffree3 (4 descents, lowest -23% of band)1.0 (deepest save from -13% of band)55
37Andrew Taylor-3 (5 descents, lowest -40% of band)0.045
38Cedric Joyce8 (3 descents, lowest -33% of band)2.0 (deepest save from 12% of band)45
39Wayne Johnston22 (2 descents, lowest 15% of band)0.041
40Michael Free1.0 (deepest save from -17% of band)43
41Troy Horton18 (3 descents, lowest -10% of band)0.045
42Rennick Kerr0.053
43Brett Davis0.067
44John Harriott0.064
45Andrew Berenyi0.046
46Ward Gunn0.0100
47Marty Hearne
48Jason Lannstrom0.0100

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 26/33/36% · glide 28/33/37% · search 29/37/45%

best: clear pattern (0.74)

#PilotInGaggle%Marked%LeaveWin%
1Olav Opsanger8575 (42/56 climbs marked)100 (3W–0L (3 departures))
2Rory Duncan3253 (16/30 climbs marked)100 (4W–0L (4 departures))
3Trent Brown6245 (21/47 climbs marked)100 (6W–0L (6 departures))
4Mitch Butler6266 (35/53 climbs marked)75 (3W–1L (4 departures))
5Steve Docherty4656 (25/45 climbs marked)100 (2W–0L (2 departures))
6Bruce Wynne2214 (3/22 climbs marked)75 (3W–1L (4 departures))
7Steven Crosby7165 (31/48 climbs marked)
8Neale Halsall5372 (49/68 climbs marked)67 (2W–1L (3 departures))
9Rohan Taylor6357 (42/74 climbs marked)50 (1W–1L (2 departures))
10Steve Blenkinsop5051 (19/37 climbs marked)0 (0W–1L (1 departure))
11Peter Adriaans4347 (27/57 climbs marked)100 (1W–0L (1 departure))
12Jon Durand6748 (16/33 climbs marked)67 (2W–1L (3 departures))
13Richard Martin4556 (24/43 climbs marked)75 (3W–1L (4 departures))
14Dustan Hansen921 (8/38 climbs marked)
15Todd Wisewould3458 (31/53 climbs marked)
16Stuart Cathcart5648 (11/23 climbs marked)50 (1W–1L (2 departures))
17Jay Kubeil5069 (24/35 climbs marked)100 (1W–0L (1 departure))
18Vic Hare4855 (12/22 climbs marked)100 (4W–0L (4 departures))
19Neil Hooke6061 (17/28 climbs marked)
20James Atkinson6856 (20/36 climbs marked)50 (1W–1L (2 departures))
21Adrian Connor3129 (7/24 climbs marked)50 (1W–1L (2 departures))
22Enda Carrigan3264 (16/25 climbs marked)50 (2W–2L (4 departures))
23Hughbert Alexander4514 (4/28 climbs marked)50 (1W–1L (2 departures))
24Bruce Atkinson3453 (8/15 climbs marked)0 (0W–1L (1 departure))
25Peter Burkitt3980 (20/25 climbs marked)0 (0W–1L (1 departure))
26Hossain Tefaili3867 (16/24 climbs marked)0 (0W–2L (2 departures))
27Tushar Pokle40 (0/23 climbs marked)
28Gary Herman4367 (12/18 climbs marked)0 (0W–3L (3 departures))
29Neill Hollingsworth56 (2/33 climbs marked)
30Peter Tolhurst3752 (11/21 climbs marked)
31Mario Chapa23
32Andrew Sutton6367 (6/9 climbs marked)100 (1W–0L (1 departure))
33James McGinty00 (0/11 climbs marked)
34Peter Garrone5057 (4/7 climbs marked)
35Damian Hamilton00 (0/10 climbs marked)
36Mark Jeffree00 (0/20 climbs marked)
37Andrew Taylor00 (0/22 climbs marked)
38Cedric Joyce3640 (2/5 climbs marked)
39Wayne Johnston00 (0/7 climbs marked)
40Michael Free00 (0/7 climbs marked)
41Troy Horton00 (0/8 climbs marked)
42Rennick Kerr00 (0/10 climbs marked)
43Brett Davis00 (0/8 climbs marked)
44John Harriott00 (0/4 climbs marked)
45Andrew Berenyi0
46Ward Gunn0
47Marty Hearne
48Jason Lannstrom0

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.

67 gaggle episodes detected (peak size 13 pilots).

best: clear pattern (0.62)

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.