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Task 1 (Open)

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

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

Analysis computed

Pilots
32
Airtime
83h (13:46–18:33 AEDT)
Thermals
30882 shared by 2+ pilots
Working band
9342580 m
Airtime split
  • searching34%
  • climbing41%
  • gliding25%

What the weather did

From the weather model

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

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

From the pilots' tracks

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

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

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

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

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

A vertical scan compares the measured and the modelled at the same moment. 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 157 multi-pilot thermals, reconstructed by pooling every pilot's track through the same climb. Everything shown is measured from the tracks — no fitted lift model. Select a thermal to see it in detail.

Thermal at 14:12 AEDT 14 pilots, 19 climbs

  • Wind 12.6 km/h from 280° (W), measured from 191 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 18° from vertical toward 154° (SSE), 54° off downwind (100°).
  • Strongest on the NW side of the core at +3.1 m/s against +1.4 m/s on the SE side.
  • Multiple cores in 4 of 12 bands between 800 and 1500 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
Gordon Rigg-0.5 m/s+3.0 m/s+5.5 m/s
Rory Duncan-0.7 m/s+2.8 m/s+4.8 m/s
Craig Taylor-2.5 m/s+2.3 m/s+8.5 m/s
Olav Opsanger-1.3 m/s+1.8 m/s+5.8 m/s
Jon Durand+0.0 m/s+1.8 m/s+2.8 m/s
Enda Carrigan-1.0 m/s+1.5 m/s+5.0 m/s
Rich Reinauer-2.3 m/s+1.5 m/s+4.3 m/s
Rohan Holtkamp-2.5 m/s+1.3 m/s+4.8 m/s
Vic Hare-1.5 m/s+1.3 m/s+6.3 m/s
Ward Gunn-2.0 m/s+1.0 m/s+1.5 m/s
David Drabble-2.0 m/s+1.0 m/s+2.5 m/s
Steve Blenkinsop-0.5 m/s+0.8 m/s+3.3 m/s
Peter Burkitt-1.0 m/s+0.7 m/s+2.3 m/s
Trent Brown-0.7 m/s+0.5 m/s+2.3 m/s

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
25002600 m267 / -414133 m232 m+1.6 m/s+4.3 m/s5011
17001800 m-87 / -231154 m207 m+1.1 m/s+4.5 m/s9121
16001700 m-146 / -166136 m269 m+2.3 m/s+4.8 m/s14331
15001600 m-170 / -154133 m275 m+2.7 m/s+5.0 m/s14641
14001500 m-193 / -72100 m158 m+3.6 m/s+5.8 m/s11042
13001400 m-159 / -4145 m334 m+2.8 m/s+8.5 m/s14141
12001300 m-159 / 63185 m332 m+2.5 m/s+5.0 m/s15641
11001200 m-150 / 70218 m357 m+2.0 m/s+4.8 m/s23962
10001100 m-158 / 22215 m372 m+1.7 m/s+5.5 m/s31771
9001000 m-175 / 4263 m404 m+1.6 m/s+6.3 m/s23072
800900 m-166 / 56319 m417 m+1.1 m/s+5.0 m/s27272
700800 m-220 / 157285 m609 m+0.9 m/s+3.0 m/s5121
StartPilotsHeight bandMean climbStrongest side
97002400 m+2.5 m/sN
117002600 m+3.0 m/sSW
147002600 m+2.0 m/sNW
56001100 m+1.5 m/sW
109002600 m+2.2 m/sNE
718002600 m+2.3 m/sNW
518002600 m+2.5 m/sSE
519002600 m+2.2 m/sNE
615002600 m+1.9 m/sNE
619002600 m+2.0 m/sE
711001600 m+1.9 m/sSE
611002600 m+2.1 m/sNE
412002300 m+1.8 m/sSE
414002600 m+2.5 m/sSW
521002600 m+1.4 m/sNW
69002200 m+1.6 m/sW
721002600 m+1.5 m/sNW
617002600 m+1.2 m/sNE
718002600 m+1.2 m/sNE
68002600 m+4.3 m/sNE
518002500 m+2.3 m/sNW
520002600 m+2.7 m/sNW
414002600 m+2.2 m/sSE
510002500 m+1.4 m/sW
411002500 m+1.5 m/sNW
421002600 m+1.3 m/sNW
513002600 m+3.0 m/sNW
520002500 m+1.3 m/sW
815002500 m+1.8 m/sN
514002600 m+2.2 m/sE
512002600 m+2.5 m/sW
413002300 m+1.6 m/sN
513002300 m+1.4 m/sNE
86002600 m+2.3 m/sN
615002600 m+2.4 m/sNW
611002600 m+2.1 m/sNW
610002600 m+2.2 m/sNE
411002600 m+2.1 m/sNW
49002400 m+2.1 m/sNE
49002300 m+2.0 m/sNW

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

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.

Which behaviours went with better ranks

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

Glide speed between climbs

Each dot is a pilot. ρ = -0.79 (clear pattern, n = 29). 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 28 to about rank 3. 3 pilots have no value and are not plotted.
  • Field glide speed: median 59.3 km/h · p90 66.5 km/h (29 pilots)
BehaviourStrengthWhat it meansPilots measured
Glide speed between climbs
clear pattern
How low the pilot gets between climbs
clear pattern
How much of the thermal the pilot climbed before leaving it
clear pattern
Final glide committed to when leaving the last climb
clear pattern
How long after the gate opened the pilot started
clear pattern
Glide L/D against the field median
some pattern
Time spent flying with a gaggle
some pattern
How often leaving the gaggle paid off
could be chance
Distance covered between climbs
could be chance
Gliding wide of the optimal course line
some pattern
Share of race time spent hunting for the next climb
could be chance
Share of lift turned in that was kept as a climb
could be chance
Low saves dug out from the bottom of the band
could be chance
Climbs joined on another pilot's marker
could be chance
Arriving at ESS with height to spare
could be chance
Share of the height gain made outside thermals
could be chance
Time to core thermals
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
Gliding faster when the next climb is stronger
could be chance
How round and consistent the circles were
could be chance
Climb rate at thermal exit
could be chance

Outcome checks

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

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

The whole field at a glance

1. Jon Durand
2. Rohan Holtkamp
3. Peter Burkitt
4. Olav Opsanger
5. Glen Mcfarlane
6. Paul Bissett-Amess
7. Steven Crosby
8. Vic Hare
9. Rory Duncan
10. Todd Wisewould
11. Gordon Rigg
12. Craig Taylor
13. Rich Reinauer
14. Enda Carrigan
15. Troy Horton
16. Mitch Butler
17. Steve Blenkinsop
18. David Drabble
19. John Harriott
20. Nils Vesk
21. Neil Hooke
22. Neale Halsall
23. Harrison Rowntree
24. Ward Gunn
25. Trent Brown
26. Andrew Sutton
27. Hossain Tefaili
28. Gary Herman
29. Rennick Kerr
30. Stuart McElroy
31. Daniel Rhodes
32. Ivo van der Leeden
The pilots in rank order against every behaviour. A darker cell is a better percentile in this field, and an empty cell is a behaviour that does not apply.

Pilot style clusters

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

Group AHigh leavers

8 pilots · ranks 113 · median 5.5 · middle half 2.88.5

  • HighHow much of the thermal the pilot climbed before leaving it group median P88 in this field (85 percent)
  • HighGlide speed between climbs group median P88 in this field (65.2 kilometres per hour) · usually a strength
  • HighGlide L/D against the field median group median P83 in this field (1.20 ratio) · usually a strength
  • HighTime spent flying with a gaggle group median P83 in this field (45 percent)
  • 1. Jon Durand
  • 2. Rohan Holtkamp (most typical of this group)
  • 3. Peter Burkitt
  • 4. Olav Opsanger
  • 7. Steven Crosby
  • 8. Vic Hare
  • 10. Todd Wisewould
  • 13. Rich Reinauer

Group BBold leavers

21 pilots · ranks 529 · median 19 · middle half 1424

  • HighHow often leaving the gaggle paid off group median P74 in this field (100 percent)
  • LowDistance covered between climbs group median P33 in this field (1.8 kilometres) · usually costly
  • HighShare of race time spent hunting for the next climb group median P66 in this field (31 percent) · usually costly
  • HighHow long after the gate opened the pilot started group median P66 in this field (321 seconds) · usually costly
  • 5. Glen Mcfarlane
  • 6. Paul Bissett-Amess
  • 9. Rory Duncan
  • 11. Gordon Rigg
  • 12. Craig Taylor
  • 14. Enda Carrigan (most typical of this group)
  • 15. Troy Horton
  • 16. Mitch Butler
  • 17. Steve Blenkinsop
  • 18. David Drabble
  • 19. John Harriott
  • 20. Nils Vesk
  • 21. Neil Hooke
  • 22. Neale Halsall
  • 23. Harrison Rowntree
  • 24. Ward Gunn
  • 25. Trent Brown
  • 26. Andrew Sutton
  • 27. Hossain Tefaili
  • 28. Gary Herman
  • 29. Rennick Kerr

Not clustered: 30. Stuart McElroy — only 5 of 22 metrics available (needs ≥ 60%); 31. Daniel Rhodes — only 9 of 22 metrics available (needs ≥ 60%); 32. Ivo van der Leeden — only 4 of 22 metrics available (needs ≥ 60%).

29 pilots on 22 behavioural metrics formed 2 groups.

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.

k was searched from 2 to 6. The mean silhouette is 0.14 — 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 (0.14)

best: clear pattern (0.53)

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.
#PilotOut-climbCore sLeaveRateKept%TopOut%Round
1Jon Durand71 (39 shared climbs)40 (22 climbs ≥ 60 s)1.7 (17 climbs ≥ 90 s)75 (9/12 circling bouts led to climbs)78 (mean on-course altitude 63% of band)0.16 (225 circles, 89% left)
2Rohan Holtkamp56 (32 shared climbs)42 (24 climbs ≥ 60 s)2.1 (13 climbs ≥ 90 s)79 (11/14 circling bouts led to climbs)92 (mean on-course altitude 71% of band)0.14 (141 circles, 82% left)
3Peter Burkitt72 (26 shared climbs)45 (14 climbs ≥ 60 s)1.6 (9 climbs ≥ 90 s)75 (12/16 circling bouts led to climbs)84 (mean on-course altitude 58% of band)0.24 (148 circles, 95% left)
4Olav Opsanger63 (46 shared climbs)39 (26 climbs ≥ 60 s)1.3 (19 climbs ≥ 90 s)71 (10/14 circling bouts led to climbs)75 (mean on-course altitude 61% of band)0.15 (241 circles, 63% left)
5Glen Mcfarlane72 (25 shared climbs)56 (22 climbs ≥ 60 s)1.4 (16 climbs ≥ 90 s)76 (13/17 circling bouts led to climbs)54 (mean on-course altitude 43% of band)0.16 (219 circles, 74% left)
6Paul Bissett-Amess71 (39 shared climbs)43 (20 climbs ≥ 60 s)1.3 (15 climbs ≥ 90 s)71 (10/14 circling bouts led to climbs)59 (mean on-course altitude 49% of band)0.15 (199 circles, 59% left)
7Steven Crosby66 (43 shared climbs)43 (23 climbs ≥ 60 s)1.4 (16 climbs ≥ 90 s)88 (14/16 circling bouts led to climbs)94 (mean on-course altitude 70% of band)0.14 (211 circles, 86% left)
8Vic Hare59 (54 shared climbs)51 (24 climbs ≥ 60 s)1.6 (15 climbs ≥ 90 s)53 (9/17 circling bouts led to climbs)80 (mean on-course altitude 58% of band)0.17 (258 circles, 66% left)
9Rory Duncan66 (48 shared climbs)48 (30 climbs ≥ 60 s)1.5 (24 climbs ≥ 90 s)79 (19/24 circling bouts led to climbs)57 (mean on-course altitude 50% of band)0.12 (196 circles, 48% left)
10Todd Wisewould75 (57 shared climbs)42 (30 climbs ≥ 60 s)1.7 (21 climbs ≥ 90 s)82 (14/17 circling bouts led to climbs)86 (mean on-course altitude 69% of band)0.15 (300 circles, 85% left)
11Gordon Rigg56 (25 shared climbs)84 (23 climbs ≥ 60 s)1.3 (21 climbs ≥ 90 s)53 (10/19 circling bouts led to climbs)58 (mean on-course altitude 39% of band)0.13 (267 circles, 81% left)
12Craig Taylor64 (49 shared climbs)36 (24 climbs ≥ 60 s)1.5 (15 climbs ≥ 90 s)73 (19/26 circling bouts led to climbs)49 (mean on-course altitude 39% of band)0.17 (414 circles, 37% left)
13Rich Reinauer81 (47 shared climbs)38 (27 climbs ≥ 60 s)1.8 (19 climbs ≥ 90 s)79 (15/19 circling bouts led to climbs)86 (mean on-course altitude 62% of band)0.12 (196 circles, 79% left)
14Enda Carrigan69 (37 shared climbs)33 (26 climbs ≥ 60 s)1.6 (14 climbs ≥ 90 s)78 (14/18 circling bouts led to climbs)65 (mean on-course altitude 52% of band)0.14 (212 circles, 73% left)
15Troy Horton61 (27 shared climbs)38 (22 climbs ≥ 60 s)1.3 (15 climbs ≥ 90 s)89 (16/18 circling bouts led to climbs)38 (mean on-course altitude 42% of band)0.13 (153 circles, 98% left)
16Mitch Butler61 (46 shared climbs)56 (22 climbs ≥ 60 s)1.3 (15 climbs ≥ 90 s)71 (15/21 circling bouts led to climbs)57 (mean on-course altitude 44% of band)0.16 (203 circles, 63% left)
17Steve Blenkinsop58 (36 shared climbs)57 (18 climbs ≥ 60 s)1.5 (11 climbs ≥ 90 s)67 (10/15 circling bouts led to climbs)61 (mean on-course altitude 39% of band)0.11 (237 circles, 46% left)
18David Drabble57 (24 shared climbs)56 (21 climbs ≥ 60 s)1.2 (19 climbs ≥ 90 s)77 (10/13 circling bouts led to climbs)62 (mean on-course altitude 51% of band)0.17 (247 circles, 98% left)
19John Harriott75 (9 shared climbs)40 (13 climbs ≥ 60 s)1.5 (9 climbs ≥ 90 s)71 (10/14 circling bouts led to climbs)82 (mean on-course altitude 63% of band)0.15 (122 circles, 1% left)
20Nils Vesk41 (10 shared climbs)150 (12 climbs ≥ 60 s)-0.6 (12 climbs ≥ 90 s)63 (5/8 circling bouts led to climbs)83 (mean on-course altitude 41% of band)0.25 (11 circles, 73% left)
21Neil Hooke66 (19 shared climbs)74 (15 climbs ≥ 60 s)1.5 (12 climbs ≥ 90 s)75 (6/8 circling bouts led to climbs)55 (mean on-course altitude 35% of band)0.17 (130 circles, 54% left)
22Neale Halsall82 (27 shared climbs)37 (14 climbs ≥ 60 s)1.7 (9 climbs ≥ 90 s)83 (10/12 circling bouts led to climbs)24 (mean on-course altitude 27% of band)0.18 (129 circles, 60% left)
23Harrison Rowntree88 (15 shared climbs)51 (14 climbs ≥ 60 s)1.6 (10 climbs ≥ 90 s)40 (2/5 circling bouts led to climbs)42 (mean on-course altitude 28% of band)0.13 (160 circles, 37% left)
24Ward Gunn55 (46 shared climbs)41 (15 climbs ≥ 60 s)1.5 (11 climbs ≥ 90 s)70 (7/10 circling bouts led to climbs)66 (mean on-course altitude 62% of band)0.14 (149 circles, 98% left)
25Trent Brown73 (20 shared climbs)66 (15 climbs ≥ 60 s)1.6 (12 climbs ≥ 90 s)46 (mean on-course altitude 35% of band)0.15 (146 circles, 100% left)
26Andrew Sutton74 (13 shared climbs)36 (11 climbs ≥ 60 s)2.4 (7 climbs ≥ 90 s)60 (3/5 circling bouts led to climbs)10 (mean on-course altitude 33% of band)0.15 (80 circles, 100% left)
27Hossain Tefaili74 (16 shared climbs)60 (8 climbs ≥ 60 s)1.7 (4 climbs ≥ 90 s)50 (4/8 circling bouts led to climbs)79 (mean on-course altitude 49% of band)0.11 (74 circles, 22% left)
28Gary Herman57 (24 shared climbs)53 (7 climbs ≥ 60 s)2.4 (5 climbs ≥ 90 s)80 (4/5 circling bouts led to climbs)44 (mean on-course altitude 35% of band)0.14 (79 circles, 33% left)
29Rennick Kerr75 (26 shared climbs)76 (6 climbs ≥ 60 s)1.1 (3 climbs ≥ 90 s)67 (2/3 circling bouts led to climbs)-16 (mean on-course altitude -10% of band)0.21 (74 circles, 68% left)
30Stuart McElroy72 (16 shared climbs)56 (7 climbs ≥ 60 s)1.6 (3 climbs ≥ 90 s)0.20 (41 circles, 80% left)
31Daniel Rhodes75 (8 shared climbs)35 (9 climbs ≥ 60 s)1.3 (7 climbs ≥ 90 s)0.11 (112 circles, 100% left)
32Ivo van der Leeden21 (7 shared climbs)43 (6 climbs ≥ 60 s)0.1 (2 climbs ≥ 90 s) (3 circles, 100% left)

Share of lift turned in that was kept as a climb

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.

Acceptance by hour

HourMedian accepted (%)pilots
584
9228
6727
5418
03

Median per-pilot acceptance %, bucketed by the hour (competition time zone).

How round and consistent the circles were

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.

Turn direction across the field: 69% left (5377 circles).

best: clear pattern (0.79)

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.
#PilotGlideSpdGlideL/DSpeedToFlyWide%Dolphin%
1Jon Durand72.3 (16 glides, 53 min gliding)1.32 (6 legs compared)0.0 (15 glide→climb pairs)12 (6 legs completed)6 (380 of 5866 m gained outside thermals)
2Rohan Holtkamp63.7 (20 glides, 68 min gliding)1.09 (6 legs compared)-4.1 (19 glide→climb pairs)13 (6 legs completed)10 (529 of 5445 m gained outside thermals)
3Peter Burkitt64.1 (14 glides, 69 min gliding)1.05 (6 legs compared)-4.1 (13 glide→climb pairs)9 (6 legs completed)8 (479 of 5885 m gained outside thermals)
4Olav Opsanger67.3 (17 glides, 63 min gliding)1.22 (5 legs compared)-5.2 (16 glide→climb pairs)22 (6 legs completed)9 (500 of 5406 m gained outside thermals)
5Glen Mcfarlane62.2 (17 glides, 84 min gliding)1.08 (6 legs compared)2.6 (16 glide→climb pairs)34 (6 legs completed)5 (368 of 7038 m gained outside thermals)
6Paul Bissett-Amess59.9 (21 glides, 74 min gliding)0.99 (6 legs compared)2.8 (20 glide→climb pairs)31 (6 legs completed)8 (617 of 7680 m gained outside thermals)
7Steven Crosby59.2 (23 glides, 87 min gliding)1.24 (6 legs compared)1.9 (22 glide→climb pairs)42 (6 legs completed)8 (520 of 6596 m gained outside thermals)
8Vic Hare69.8 (17 glides, 89 min gliding)1.34 (6 legs compared)-3.9 (16 glide→climb pairs)65 (6 legs completed)7 (673 of 8989 m gained outside thermals)
9Rory Duncan61.6 (28 glides, 84 min gliding)0.96 (6 legs compared)1.4 (27 glide→climb pairs)43 (6 legs completed)7 (583 of 7988 m gained outside thermals)
10Todd Wisewould63.5 (22 glides, 91 min gliding)0.96 (6 legs compared)0.0 (21 glide→climb pairs)45 (6 legs completed)9 (775 of 8332 m gained outside thermals)
11Gordon Rigg61.8 (15 glides, 91 min gliding)1.14 (6 legs compared)0.9 (14 glide→climb pairs)47 (6 legs completed)1 (58 of 8736 m gained outside thermals)
12Craig Taylor62.2 (33 glides, 104 min gliding)1.03 (6 legs compared)1.8 (32 glide→climb pairs)40 (6 legs completed)15 (1264 of 8268 m gained outside thermals)
13Rich Reinauer66.3 (21 glides, 81 min gliding)1.18 (5 legs compared)-2.7 (20 glide→climb pairs)62 (5 legs completed)8 (665 of 8250 m gained outside thermals)
14Enda Carrigan53.9 (27 glides, 95 min gliding)0.86 (4 legs compared)2.4 (26 glide→climb pairs)58 (4 legs completed)12 (1077 of 8735 m gained outside thermals)
15Troy Horton49.8 (20 glides, 79 min gliding)0.77 (3 legs compared)-0.4 (19 glide→climb pairs)41 (3 legs completed)9 (592 of 6854 m gained outside thermals)
16Mitch Butler60.4 (13 glides, 59 min gliding)1.06 (3 legs compared)-2.8 (12 glide→climb pairs)25 (3 legs completed)9 (318 of 3494 m gained outside thermals)
17Steve Blenkinsop55.1 (19 glides, 72 min gliding)0.97 (3 legs compared)3.2 (18 glide→climb pairs)64 (3 legs completed)6 (369 of 6238 m gained outside thermals)
18David Drabble61.3 (21 glides, 81 min gliding)0.95 (3 legs compared)-1.8 (20 glide→climb pairs)85 (3 legs completed)12 (801 of 6611 m gained outside thermals)
19John Harriott53.2 (22 glides, 64 min gliding)0.97 (2 legs compared)7.3 (21 glide→climb pairs)24 (3 legs completed)16 (562 of 3591 m gained outside thermals)
20Nils Vesk51.5 (3 glides, 27 min gliding)1.00 (2 legs compared)11 (2 legs completed)5 (76 of 1625 m gained outside thermals)
21Neil Hooke48.6 (8 glides, 42 min gliding)1.25 (2 legs compared)7.2 (7 glide→climb pairs)67 (2 legs completed)13 (282 of 2226 m gained outside thermals)
22Neale Halsall57.8 (12 glides, 42 min gliding)0.89 (2 legs compared)3.6 (11 glide→climb pairs)96 (2 legs completed)8 (325 of 3942 m gained outside thermals)
23Harrison Rowntree58.1 (5 glides, 26 min gliding)0.82 (2 legs compared)-0.2 (4 glide→climb pairs)40 (2 legs completed)3 (75 of 2521 m gained outside thermals)
24Ward Gunn59.3 (23 glides, 65 min gliding)1.00 (2 legs compared)-4.9 (22 glide→climb pairs)188 (2 legs completed)23 (935 of 4010 m gained outside thermals)
25Trent Brown52.0 (3 glides, 18 min gliding)0.92 (1 leg compared)4 (1 leg completed)6 (39 of 614 m gained outside thermals)
26Andrew Sutton54.2 (8 glides, 24 min gliding)0.55 (1 leg compared)-8.7 (7 glide→climb pairs)31 (1 leg completed)18 (189 of 1051 m gained outside thermals)
27Hossain Tefaili53.3 (7 glides, 33 min gliding)0.97 (1 leg compared)1.6 (6 glide→climb pairs)277 (1 leg completed)5 (188 of 3770 m gained outside thermals)
28Gary Herman49.4 (6 glides, 25 min gliding)1.15 (1 leg compared)0.0 (5 glide→climb pairs)61 (1 leg completed)16 (224 of 1387 m gained outside thermals)
29Rennick Kerr38.4 (3 glides, 14 min gliding)
30Stuart McElroy
31Daniel Rhodes
32Ivo van der Leeden

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 59.3 km/h · p90 66.5 km/h (29 pilots)

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.
#PilotFloor%LowSaveskm/climbSearch%
1Jon Durand55 (11 descents, lowest 19% of band)0.03.0 (mean shared-climb pctile 54%)24
2Rohan Holtkamp70 (15 descents, lowest -31% of band)0.02.8 (mean shared-climb pctile 42%)26
3Peter Burkitt50 (11 descents, lowest -2% of band)1.0 (deepest save from 5% of band)3.6 (mean shared-climb pctile 57%)23
4Olav Opsanger58 (12 descents, lowest 22% of band)0.02.8 (mean shared-climb pctile 47%)21
5Glen Mcfarlane37 (11 descents, lowest -5% of band)2.0 (deepest save from -1% of band)3.0 (mean shared-climb pctile 45%)25
6Paul Bissett-Amess58 (11 descents, lowest -11% of band)3.0 (deepest save from 2% of band)2.0 (mean shared-climb pctile 52%)23
7Steven Crosby73 (13 descents, lowest 38% of band)0.02.1 (mean shared-climb pctile 41%)26
8Vic Hare46 (13 descents, lowest -13% of band)2.0 (deepest save from -7% of band)2.6 (mean shared-climb pctile 52%)26
9Rory Duncan38 (15 descents, lowest -2% of band)2.0 (deepest save from -2% of band)1.8 (mean shared-climb pctile 50%)26
10Todd Wisewould52 (12 descents, lowest 32% of band)0.02.0 (mean shared-climb pctile 60%)28
11Gordon Rigg19 (11 descents, lowest -27% of band)4.0 (deepest save from -27% of band)4.4 (mean shared-climb pctile 50%)23
12Craig Taylor25 (13 descents, lowest -8% of band)4.0 (deepest save from -2% of band)1.4 (mean shared-climb pctile 47%)41
13Rich Reinauer56 (13 descents, lowest -2% of band)1.0 (deepest save from 2% of band)2.1 (mean shared-climb pctile 60%)24
14Enda Carrigan21 (13 descents, lowest -27% of band)1.0 (deepest save from -3% of band)1.4 (mean shared-climb pctile 59%)31
15Troy Horton17 (12 descents, lowest -9% of band)2.0 (deepest save from -1% of band)1.5 (mean shared-climb pctile 43%)24
16Mitch Butler41 (7 descents, lowest 1% of band)1.0 (deepest save from 11% of band)2.4 (mean shared-climb pctile 50%)34
17Steve Blenkinsop5 (9 descents, lowest -30% of band)4.0 (deepest save from -4% of band)1.7 (mean shared-climb pctile 43%)27
18David Drabble26 (10 descents, lowest -15% of band)0.01.3 (mean shared-climb pctile 44%)36
19John Harriott70 (10 descents, lowest -3% of band)1.0 (deepest save from -3% of band)1.3 (mean shared-climb pctile 55%)40
20Nils Vesk43 (2 descents, lowest 29% of band)0.07.6 (mean shared-climb pctile 31%)19
21Neil Hooke47 (4 descents, lowest -26% of band)1.0 (deepest save from -15% of band)2.1 (mean shared-climb pctile 44%)21
22Neale Halsall4 (9 descents, lowest -15% of band)1.0 (deepest save from 1% of band)1.6 (mean shared-climb pctile 56%)47
23Harrison Rowntree-9 (2 descents, lowest -20% of band)1.0 (deepest save from -20% of band)5.3 (mean shared-climb pctile 70%)25
24Ward Gunn51 (6 descents, lowest 20% of band)0.00.7 (mean shared-climb pctile 38%)40
25Trent Brown22 (2 descents, lowest 7% of band)0.021
26Andrew Sutton-0 (3 descents, lowest -8% of band)0.064
27Hossain Tefaili36 (3 descents, lowest 25% of band)1.0 (deepest save from -10% of band)31
28Gary Herman5 (2 descents, lowest -29% of band)0.042
29Rennick Kerr0.080
30Stuart McElroy
31Daniel Rhodes0.015
32Ivo van der Leeden

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 31/37/39% · glide 29/34/38% · search 23/26/35%

best: some pattern (0.47)

best: clear pattern (0.53)

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 combine the estimates two ways. The table by hour of day shows how the wind increased and changed direction through the day. The table by speed-section leg shows the wind on each part of the course. This metric describes the day, so it has no value for each pilot.

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

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

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

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

Climbing

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

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

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

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

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

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

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

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

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

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

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

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

Gliding

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

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

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

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

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

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

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

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

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

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

Decision-making

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

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

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

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

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

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

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

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

Gaggle

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

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

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

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

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

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

Race craft

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

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

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

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

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

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

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

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

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

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