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Task 1 (Open)

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

ELLIOTELLIOTTHOWGLKANGCKCUDGWECORRYCORRY
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
29
Airtime
58h (13:40–19:05 AEDT)
Thermals
17952 shared by 2+ pilots
Working band
9102558 m
Airtime split
  • 41%climbing
  • 22%gliding
  • 37%searching

3 pilots are in the standings but not in this analysis. Which, and why

What the weather did

From the weather model

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

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

From the pilots' tracks

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

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

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

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

All charts — measured and modelled alike — share 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 59 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
44001300 m+0.4 m/sW
43001700 m+1.0 m/sN
118001800 m+1.8 m/sW
94002400 m+2.5 m/sSE
410002500 m+2.0 m/sN
63001800 m+1.2 m/sSW
53001700 m+1.5 m/sE
714002200 m+1.5 m/sSW
68002200 m+1.8 m/sSE
511002600 m+2.2 m/sSW
67002300 m+1.5 m/sW
48002200 m+1.6 m/sS
69002500 m+2.0 m/sW
518002100 m+1.0 m/sS
417002000 m+1.2 m/sSE
314002000 m+1.9 m/sSW
320002600 m+2.6 m/sS
518002200 m+1.1 m/sSW
411002600 m+2.3 m/sN
412002100 m+1.9 m/sSW
518002400 m+1.2 m/sE
410002300 m+1.8 m/sSW
421002600 m+1.3 m/sSE
414002600 m+3.2 m/sSW
315002000 m+1.4 m/sSW
314002500 m+3.0 m/sN
618002600 m+1.9 m/sSW
316002000 m+1.3 m/sW
321002500 m+2.1 m/sNW
620002600 m+1.6 m/sW
418002100 m+1.5 m/sSW
315002400 m+1.7 m/sS
321002600 m+1.5 m/sNE
516002600 m+2.1 m/sN
410002300 m+1.7 m/sS
415002600 m+1.6 m/sE
610002500 m+2.2 m/sSE
317002100 m+1.3 m/sN
416002600 m+2.5 m/sSE
320002600 m+2.3 m/sSE

Thermal at 14:46 AEDT 11 pilots, 22 climbs

  • Wind 15.6 km/h from 221° (SW), measured from 118 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 26° from vertical toward 25° (NNE), within 17° of downwind.
  • Strongest on the W side of the core at +2.2 m/s against +1.6 m/s on the E side.
  • Multiple cores in 4 of 10 bands between 900 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
Jay Kubeil-2.5 m/s+2.5 m/s+5.5 m/s
Todd Wisewould-5.5 m/s+2.3 m/s+5.5 m/s
Neil Hooke+0.0 m/s+1.8 m/s+3.8 m/s
Harrison Rowntree-3.0 m/s+1.8 m/s+6.5 m/s
Pete Bolton-0.8 m/s+1.5 m/s+4.3 m/s
James Atkinson-13.8 m/s+1.3 m/s+14.5 m/s
Tony Cross-0.8 m/s+1.3 m/s+3.8 m/s
Ollie Chitty-0.5 m/s+0.8 m/s+1.5 m/s
Steve Blenkinsop
Keith Lavers-6.5 m/s-1.0 m/s+1.6 m/s
Jason Carman-1.0 m/s-1.0 m/s-1.0 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
17001800 m-192 / 18266 m104 m+1.6 m/s+4.5 m/s5911
16001700 m-63 / 25264 m92 m+2.8 m/s+4.5 m/s3611
15001600 m132 / 221221 m291 m+1.9 m/s+5.3 m/s9921
14001500 m157 / 113198 m241 m+2.0 m/s+4.8 m/s11131
13001400 m146 / 40147 m190 m+1.9 m/s+4.8 m/s13232
12001300 m145 / 16169 m263 m+1.9 m/s+4.3 m/s20552
11001200 m59 / -66161 m261 m+2.1 m/s+6.5 m/s20151
10001100 m10 / -80189 m335 m+1.9 m/s+5.0 m/s29263
9001000 m-126 / -119158 m250 m+1.3 m/s+9.3 m/s309102
800900 m-89 / 172126 m242 m+1.8 m/s+13.5 m/s2621

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.

Share of race time spent hunting for the next climb

Each dot is a pilot. ρ = 0.79 (clear pattern, n = 27). Less is expected to be better here, and it was: top ranks gather to the left. The curve is a trend fitted through the dots: left to right it runs from about rank 4 to about rank 28. 2 pilots have no value and are not plotted.
  • Speed-section phase shares, field p25/median/p75: climb 35/39/44% · glide 18/30/35% · search 24/28/43%
BehaviourStrengthWhat it meansPilots measured
Share of race time spent hunting for the next climb
clear pattern
Gliding wide of the optimal course line
clear pattern
Glide speed between climbs
clear pattern
How much of the thermal the pilot climbed before leaving it
some pattern
Share of lift turned in that was kept as a climb
some pattern
Gliding faster when the next climb is stronger
could be chance
How round and consistent the circles were
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
Distance covered between climbs
could be chance
Climb rate at thermal exit
could be chance
Share of the height gain made outside thermals
could be chance
Glide L/D against the field median
could be chance
Time to core thermals
could be chance
Time spent flying with a gaggle
could be chance
How long after the gate opened the pilot started
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
How often leaving the gaggle paid off
too few pilots

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.

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 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. Todd Wisewould
2. Peter Adriaans
3. Michael Free
4. Randall Clotworthy
5. Tony Cross
6. Adam Stevens
7. Steve Blenkinsop
8. Harrison Rowntree
9. Mitch Butler
10. Hughbert Alexander
11. Andy Schmidt
12. Neil Hooke
13. Dave Moore
14. Mark Divito
15. Tushar Pokle
16. Neale Halsall
17. Ollie Chitty
18. Pete Bolton
19. Steve Norman
20. Jason Carman
21. Keith Lavers
22. Rohan Holtkamp
23. James Wynd
24. Jay Kubeil
25. James Atkinson
26. Bruce Atkinson
27. Marcus De Vecchi
28. James McGinty
29. Anthony Meechan
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 ABold leavers

8 pilots · ranks 118 · median 9 · middle half 4.316.3

  • HighHow often leaving the gaggle paid off group median P83 in this field (100 percent)
  • HighClimbs joined on another pilot's marker group median P80 in this field (54 percent)
  • HighTime spent flying with a gaggle group median P78 in this field (38 percent)
  • HighHow long after the gate opened the pilot started group median P75 in this field (503 seconds) · usually costly
  • 1. Todd Wisewould
  • 2. Peter Adriaans (most typical of this group)
  • 5. Tony Cross
  • 6. Adam Stevens
  • 12. Neil Hooke
  • 16. Neale Halsall
  • 17. Ollie Chitty
  • 18. Pete Bolton

Group BSafe finishers

7 pilots · ranks 323 · median 13 · middle half 821

  • HighArriving at ESS with height to spare group median P89 in this field (1020 metres) · usually costly
  • LowClimbing faster than the pilots sharing the thermal group median P12 in this field (51 percent) · usually costly
  • HighTime to core thermals group median P88 in this field (69 seconds) · usually costly
  • HighHow round and consistent the circles were group median P86 in this field (0.26 ratio) · usually costly
  • 3. Michael Free
  • 7. Steve Blenkinsop
  • 9. Mitch Butler
  • 13. Dave Moore
  • 20. Jason Carman
  • 22. Rohan Holtkamp
  • 23. James Wynd (most typical of this group)

Group CDolphin flyers

9 pilots · ranks 424 · median 14 · middle half 1019

  • HighShare of the height gain made outside thermals group median P79 in this field (18 percent)
  • LowDistance covered between climbs group median P21 in this field (1.4 kilometres) · usually costly
  • HighClimb rate at thermal exit group median P78 in this field (1.5 metres per second)
  • HighLow saves dug out from the bottom of the band group median P77 in this field (1.0 count)
  • 4. Randall Clotworthy
  • 8. Harrison Rowntree
  • 10. Hughbert Alexander (most typical of this group)
  • 11. Andy Schmidt
  • 14. Mark Divito
  • 15. Tushar Pokle
  • 19. Steve Norman
  • 21. Keith Lavers
  • 24. Jay Kubeil

Not clustered: 25. James Atkinson — only 3 of 21 metrics available (needs ≥ 60%); 26. Bruce Atkinson — only 12 of 21 metrics available (needs ≥ 60%); 27. Marcus De Vecchi — only 11 of 21 metrics available (needs ≥ 60%); 28. James McGinty — only 1 of 21 metrics available (needs ≥ 60%); 29. Anthony Meechan — only 3 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, 24 pilots on 21 behavioural metrics formed 3 groups, with k searched from 2 to 6. The mean silhouette is 0.18. A value near 0 means soft group boundaries, and a value near 1 means tight, well-separated groups.

The metrics in detail

best: could be chance (0.24)

best: some pattern (0.50)

best: clear pattern (0.71)

#PilotGlideSpdGlideL/DSpeedToFlyWide%Dolphin%
1Todd Wisewould70.7 (13 glides, 42 min gliding)0.93 (3 legs compared)-3.1 (12 glide→climb pairs)16 (4 legs completed)9 (354 of 4011 m gained outside thermals)
2Peter Adriaans65.4 (9 glides, 44 min gliding)1.11 (4 legs compared)-3.0 (8 glide→climb pairs)11 (4 legs completed)7 (234 of 3305 m gained outside thermals)
3Michael Free58.9 (8 glides, 56 min gliding)1.05 (3 legs compared)-3.1 (7 glide→climb pairs)9 (4 legs completed)3 (124 of 3636 m gained outside thermals)
4Randall Clotworthy60.7 (15 glides, 50 min gliding)1.08 (3 legs compared)2.5 (14 glide→climb pairs)18 (4 legs completed)16 (530 of 3329 m gained outside thermals)
5Tony Cross65.3 (19 glides, 47 min gliding)1.58 (4 legs compared)-1.6 (18 glide→climb pairs)18 (4 legs completed)10 (331 of 3244 m gained outside thermals)
6Adam Stevens70.2 (10 glides, 49 min gliding)1.08 (4 legs compared)-1.0 (9 glide→climb pairs)17 (4 legs completed)8 (337 of 4289 m gained outside thermals)
7Steve Blenkinsop63.9 (10 glides, 43 min gliding)0.97 (4 legs compared)8.7 (9 glide→climb pairs)9 (4 legs completed)5 (182 of 3821 m gained outside thermals)
8Harrison Rowntree66.9 (17 glides, 57 min gliding)1.13 (4 legs compared)-2.4 (16 glide→climb pairs)31 (4 legs completed)13 (566 of 4488 m gained outside thermals)
9Mitch Butler64.0 (11 glides, 51 min gliding)1.01 (4 legs compared)0.0 (10 glide→climb pairs)17 (4 legs completed)3 (131 of 4558 m gained outside thermals)
10Hughbert Alexander65.4 (16 glides, 55 min gliding)0.82 (4 legs compared)1.6 (16 glide→climb pairs)35 (4 legs completed)18 (1152 of 6434 m gained outside thermals)
11Andy Schmidt62.2 (12 glides, 55 min gliding)1.17 (4 legs compared)3.0 (11 glide→climb pairs)34 (4 legs completed)22 (1018 of 4698 m gained outside thermals)
12Neil Hooke57.7 (15 glides, 67 min gliding)0.97 (4 legs compared)-0.3 (14 glide→climb pairs)16 (4 legs completed)7 (322 of 4797 m gained outside thermals)
13Dave Moore60.6 (13 glides, 64 min gliding)1.05 (4 legs compared)4.7 (12 glide→climb pairs)34 (4 legs completed)4 (229 of 6025 m gained outside thermals)
14Mark Divito45.4 (23 glides, 95 min gliding)0.82 (4 legs compared)-1.9 (22 glide→climb pairs)52 (4 legs completed)8 (530 of 6410 m gained outside thermals)
15Tushar Pokle49.1 (36 glides, 103 min gliding)1.56 (3 legs compared)-0.8 (35 glide→climb pairs)36 (4 legs completed)12 (818 of 6911 m gained outside thermals)
16Neale Halsall63.9 (10 glides, 39 min gliding)1.75 (3 legs compared)-9.1 (9 glide→climb pairs)19 (3 legs completed)6 (177 of 2784 m gained outside thermals)
17Ollie Chitty61.2 (4 glides, 27 min gliding)0.90 (1 leg compared)21 (2 legs completed)3 (51 of 1831 m gained outside thermals)
18Pete Bolton57.3 (13 glides, 52 min gliding)3.2 (12 glide→climb pairs)35 (2 legs completed)12 (394 of 3343 m gained outside thermals)
19Steve Norman56.7 (13 glides, 40 min gliding)1.51 (2 legs compared)-3.5 (12 glide→climb pairs)27 (2 legs completed)21 (441 of 2064 m gained outside thermals)
20Jason Carman46.0 (4 glides, 29 min gliding)0.98 (2 legs compared)34 (2 legs completed)6 (117 of 2034 m gained outside thermals)
21Keith Lavers67.6 (13 glides, 25 min gliding)0.28 (1 leg compared)5.1 (12 glide→climb pairs)78 (1 leg completed)27 (964 of 3548 m gained outside thermals)
22Rohan Holtkamp57.1 (6 glides, 60 min gliding)20.4 (5 glide→climb pairs)7 (369 of 5164 m gained outside thermals)
23James Wynd63.9 (12 glides, 56 min gliding)-0.5 (11 glide→climb pairs)2 (85 of 4762 m gained outside thermals)
24Jay Kubeil50.8 (14 glides, 27 min gliding)0.6 (13 glide→climb pairs)19 (298 of 1544 m gained outside thermals)
25James Atkinson
26Bruce Atkinson44.7 (2 glides, 5 min gliding)19 (40 of 211 m gained outside thermals)
27Marcus De Vecchi39.9 (1 glides, 4 min gliding)
28James McGinty
29Anthony Meechan

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 60.9 km/h · p90 67.3 km/h (26 pilots)

best: clear pattern (0.79)

#PilotFloor%LowSaveskm/climbSearch%
1Todd Wisewould43 (7 descents, lowest -16% of band)2.0 (deepest save from -6% of band)2.6 (mean shared-climb pctile 54%)23
2Peter Adriaans70 (6 descents, lowest 38% of band)0.03.4 (mean shared-climb pctile 49%)20
3Michael Free45 (5 descents, lowest 22% of band)0.04.7 (mean shared-climb pctile 42%)14
4Randall Clotworthy73 (8 descents, lowest 51% of band)0.01.8 (mean shared-climb pctile 57%)27
5Tony Cross85 (8 descents, lowest 54% of band)0.02.0 (mean shared-climb pctile 48%)23
6Adam Stevens54 (8 descents, lowest 29% of band)0.03.0 (mean shared-climb pctile 55%)24
7Steve Blenkinsop73 (8 descents, lowest 39% of band)0.02.8 (mean shared-climb pctile 50%)17
8Harrison Rowntree6 (9 descents, lowest -22% of band)1.0 (deepest save from 1% of band)1.8 (mean shared-climb pctile 67%)30
9Mitch Butler67 (8 descents, lowest -14% of band)0.03.2 (mean shared-climb pctile 36%)14
10Hughbert Alexander24 (12 descents, lowest -50% of band)1.0 (deepest save from 14% of band)1.2 (mean shared-climb pctile 62%)39
11Andy Schmidt25 (7 descents, lowest -4% of band)1.0 (deepest save from 6% of band)2.0 (mean shared-climb pctile 48%)24
12Neil Hooke39 (8 descents, lowest -25% of band)2.0 (deepest save from -1% of band)2.3 (mean shared-climb pctile 51%)30
13Dave Moore43 (7 descents, lowest 22% of band)0.02.7 (mean shared-climb pctile 45%)26
14Mark Divito37 (9 descents, lowest 2% of band)0.01.4 (mean shared-climb pctile 39%)28
15Tushar Pokle74 (18 descents, lowest -3% of band)1.0 (deepest save from 0% of band)1.0 (mean shared-climb pctile 53%)45
16Neale Halsall16 (5 descents, lowest -9% of band)0.02.6 (mean shared-climb pctile 41%)28
17Ollie Chitty13 (3 descents, lowest 2% of band)1.0 (deepest save from 15% of band)4.1 (mean shared-climb pctile 43%)35
18Pete Bolton77 (5 descents, lowest 22% of band)0.00.9 (mean shared-climb pctile 52%)54
19Steve Norman54 (7 descents, lowest -5% of band)0.01.2 (mean shared-climb pctile 56%)30
20Jason Carman79 (2 descents, lowest 73% of band)0.05.3 (mean shared-climb pctile 46%)42
21Keith Lavers25 (9 descents, lowest -8% of band)1.0 (deepest save from -4% of band)75
22Rohan Holtkamp21 (5 descents, lowest -6% of band)1.0 (deepest save from 0% of band)27
23James Wynd67 (8 descents, lowest -8% of band)1.0 (deepest save from -8% of band)26
24Jay Kubeil2 (4 descents, lowest -20% of band)1.0 (deepest save from 0% of band)52
25James Atkinson
26Bruce Atkinson0.048
27Marcus De Vecchi0.096
28James McGinty
29Anthony Meechan0.0100

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 35/39/44% · glide 18/30/35% · search 24/28/43%

best: could be chance (0.05)

best: could be chance (0.05)

Footnotes

3 pilots in the standings but not in this analysis

  • Dean Baylyscored from a manual flight report — no tracklog to analyse
  • Richard Hughesscored from a manual flight report — no tracklog to analyse
  • Sam Prestscored from a manual flight report — no tracklog to analyse

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

How the field is compared

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

Metric glossary

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

Day profile & wind

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

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

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

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

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

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

Climbing

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

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

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

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

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

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

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

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

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

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

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

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

Gliding

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

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

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

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

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

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

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

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

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

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

Decision-making

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

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

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

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

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

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

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

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

Gaggle

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

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

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

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

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

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

Race craft

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

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

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

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

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

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

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

Height still available at ESS that the pilot no longer needed. That altitude was available for more speed, and the pilot did not use it. The value is the altitude at ESS minus the altitude needed to glide to goal at the standard glide ratio of the sport, which is 5.0 for HG and 4.0 for PG (S7F §12.3.6). A large positive margin means the pilot arrived too high. A margin near zero means they flew the final glide with little height to spare.

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

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