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Task 1 (Floater)

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

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

Analysis computed

Pilots
15
Thermals
528 shared by 2+ pilots
Working band
7442339 m
Airtime split
  • searching43%
  • climbing36%
  • gliding21%

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.

The day's thermals

The 10 most-shared of 13 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 14:16 AEDT 4 pilots, 12 climbs

  • Wind 16.3 km/h from 269° (W), measured from 54 circle estimates in the pilots' own tracks.
  • Model wind cross-check loading…
  • Leans 8° from vertical toward 67° (ENE), within 22° of downwind.
  • Strongest on the E side of the core at +2.1 m/s against +2.0 m/s on the W side.
  • Multiple cores in 2 of 12 bands between 900 and 1100 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
Andy Phillips-1.0 m/s+2.3 m/s+6.0 m/s
Mark Tyminski-1.5 m/s+1.3 m/s+2.8 m/s
Damian Hamilton-2.0 m/s+1.0 m/s+3.0 m/s
Dave Moore-1.0 m/s+1.0 m/s+4.0 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
25002600 m1 / 1122 m152 m+0.8 m/s+2.3 m/s4711
24002500 m-112 / 21785 m118 m+1.0 m/s+3.0 m/s6811
17001800 m745 / 9052 m63 m+1.3 m/s+2.5 m/s3411
16001700 m629 / 6465 m91 m+1.7 m/s+3.8 m/s5811
15001600 m646 / 32455 m100 m+2.1 m/s+4.3 m/s4711
14001500 m558 / 30348 m68 m+3.0 m/s+4.3 m/s3411
13001400 m466 / 28236 m50 m+3.9 m/s+5.8 m/s2511
12001300 m432 / 25949 m59 m+3.8 m/s+6.0 m/s2611
11001200 m268 / 18262 m113 m+2.7 m/s+4.0 m/s3711
10001100 m42 / -52360 m447 m+1.5 m/s+4.8 m/s12422
9001000 m-102 / 44320 m463 m+1.2 m/s+4.0 m/s18834
800900 m-392 / 20960 m133 m+2.0 m/s+4.0 m/s4211
StartPilotsHeight bandMean climbStrongest side
26001800 m+1.7 m/sNE
29001200 m+1.0 m/sE
210001300 m+0.9 m/sNE
29001300 m+1.6 m/sN
210002400 m+3.1 m/sE
215002200 m+2.3 m/sE
48002600 m+1.7 m/sE
310002600 m+2.8 m/sN
38002400 m+2.2 m/sW
315002200 m+1.6 m/sS

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

Which behaviours went with better ranks

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

Arriving at ESS with height to spare

Each dot is a pilot. ρ = 1.00 (too few pilots, n = 3). Less is expected to be better here, and it was: top ranks gather to the left. There is no trend curve. Too few pilots have a value to fit one that means anything. 12 pilots have no value and are not plotted.
  • ESS altitude margin over final glide: top-10 median 615 m (n=3).
BehaviourStrengthWhat it meansPilots measured
Arriving at ESS with height to spare
too few pilots
How low the pilot gets between climbs
too few pilots
Final glide committed to when leaving the last climb
clear pattern
How much of the thermal the pilot climbed before leaving it
clear pattern
Share of race time spent hunting for the next climb
clear pattern
Climb rate at thermal exit
could be chance
Climbs joined on another pilot's marker
could be chance
Time spent flying with a gaggle
could be chance
Share of the height gain made outside thermals
could be chance
Low saves dug out from the bottom of the band
could be chance
Share of the flight spent in air that wasn’t sinking
could be chance
Time to core thermals
could be chance
Glide L/D against the field median
could be chance
How round and consistent the circles were
could be chance
Gliding wide of the optimal course line
could be chance
Gliding faster when the next climb is stronger
too few pilots
Share of lift turned in that was kept as a climb
could be chance
Glide speed between climbs
could be chance
Climbing faster than the pilots sharing the thermal
could be chance

3 behaviours were measured on fewer than 8 pilots — too few to tell either way.

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
too few pilots
Race time lost against the fastest pilots, leg by leg
clear pattern

The whole field at a glance

1. Andy Schmidt
2. Andy Phillips
3. Dave Moore
4. Damian Hamilton
5. Mark Tyminski
6. Curtis Greenwood
7. Anthony Meechan
8. Connor Hansen
9. James Wynd
10. Dean Bayly
11. Andrew Berenyi
12. Ryan Brown
13. Rhys Davies
14. Hayden Emms
15. Mark Wallace
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 ALeave-it-lifting climbers

4 pilots · ranks 25 · median 3.5 · middle half 2.84.3

  • HighClimb rate at thermal exit group median P83 in this field (1.5 metres per second)
  • HighClimbs joined on another pilot's marker group median P81 in this field (16 percent)
  • HighArriving at ESS with height to spare group median P75 in this field (783 metres) · usually costly
  • LowFinal glide committed to when leaving the last climb group median P25 in this field (3.87 ratio)
  • 2. Andy Phillips
  • 3. Dave Moore (most typical of this group)
  • 4. Damian Hamilton
  • 5. Mark Tyminski

Group BDeep diggers

5 pilots · ranks 19 · median 7 · middle half 68

  • LowHow low the pilot gets between climbs group median P17 in this field (5 percent)
  • LowClimb rate at thermal exit group median P22 in this field (1.1 metres per second)
  • HighClimbing faster than the pilots sharing the thermal group median P78 in this field (82 percent) · usually a strength
  • LowGlide L/D against the field median group median P22 in this field (0.94 ratio) · usually costly
  • 1. Andy Schmidt
  • 6. Curtis Greenwood
  • 7. Anthony Meechan (most typical of this group)
  • 8. Connor Hansen
  • 9. James Wynd

Not clustered: 10. Dean Bayly — only 10 of 19 metrics available (needs ≥ 60%); 11. Andrew Berenyi — only 1 of 19 metrics available (needs ≥ 60%); 12. Ryan Brown — only 1 of 19 metrics available (needs ≥ 60%); 13. Rhys Davies — only 1 of 19 metrics available (needs ≥ 60%); 14. Hayden Emms — only 2 of 19 metrics available (needs ≥ 60%); 15. Mark Wallace — only 1 of 19 metrics available (needs ≥ 60%).

9 pilots on 19 behavioural metrics formed 2 groups.

The metrics in detail

best: could be chance (0.37)

best: clear pattern (0.80)

best: could be chance (0.48)

best: too few pilots (0.86)

#PilotFloor%LowSavesSearch%
1Andy Schmidt50 (2 descents, lowest 12% of band)0.09
2Andy Phillips59 (2 descents, lowest 58% of band)1.0 (deepest save from 5% of band)18
3Dave Moore81 (5 descents, lowest 60% of band)0.029
4Damian Hamilton46 (2 descents, lowest 9% of band)1.0 (deepest save from 8% of band)47
5Mark Tyminski19 (2 descents, lowest 15% of band)0.038
6Curtis Greenwood5 (5 descents, lowest -19% of band)0.052
7Anthony Meechan0.045
8Connor Hansen-4 (3 descents, lowest -20% of band)0.055
9James Wynd0.038
10Dean Bayly0.049
11Andrew Berenyi
12Ryan Brown
13Rhys Davies
14Hayden Emms
15Mark Wallace

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 22/28/33% · glide 27/36/41% · search 31/42/48%

best: could be chance (0.57)

best: too few pilots (1.00)

#PilotStartDlyTimeLostBehindSpare mFinalGl
1Andy Schmidt01790.0894.11 (left last climb 2.8 km out at 982 m)
2Andy Phillips02012.36153.14 (left last climb 6.5 km out at 2351 m)
3Dave Moore0742.59511.66 (left last climb 2.4 km out at 1728 m)
4Damian Hamilton07794.60 (left last climb 8.2 km out at 2079 m)
5Mark Tyminski03566.32 (left last climb 8.5 km out at 1628 m)
6Curtis Greenwood0014.53 (left last climb 4.5 km out at 602 m)
7Anthony Meechan0027.20 (left last climb 6.1 km out at 515 m)
8Connor Hansen0030.52 (left last climb 6.1 km out at 492 m)
9James Wynd0010.24 (left last climb 9.6 km out at 1229 m)
10Dean Bayly00
11Andrew Berenyi
12Ryan Brown
13Rhys Davies
14Hayden Emms
15Mark Wallace

How long after the gate opened the pilot started

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.

Start execution

PilotDelayAlt mBand %Behind km
Andy Schmidt0:0023751024.9
Andy Phillips0:001260322.6
Dave Moore0:0023881033.0
Damian Hamilton0:001531493.2
Mark Tyminski0:001558513.3
Curtis Greenwood0:001807673.9
Anthony Meechan0:001847693.4
Connor Hansen0:001919740.9
James Wynd0:001806670.0
Dean Bayly0:001053194.2

Delay = gate taken → SSS crossing. Behind km = extra distance to the next turnpoint vs the furthest-along already-started pilot at the moment of this start (time grid).

Race time lost against the fastest pilots, leg by leg

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.

-5:38SSS→KANGCK+7:56KANGCK→ESS
Andy Phillips, over 2 compared legs: +2:18 overall. — marks a leg the pilot or the winner did not complete; the table below has every pilot.

Leg waterfall — leg time vs the task winner

PilotSSS→KANGCKKANGCK→ESSTotal
Andy Schmidt+0:00+0:00+0:00
Andy Phillips-5:38+7:56+2:18
Dave Moore-3:20+5:49+2:28
Damian Hamilton+10:00+10:00
Mark Tyminski+2:57+2:57
Curtis Greenwood-4:35-4:35
Anthony Meechan-8:16-8:16
Connor Hansen-5:45-5:45
James Wynd-5:27-5:27
Dean Bayly-9:44-9:44

Each cell is the leg time of this pilot minus the leg time of the winner. A + value is slower than the winner, and a − value is faster. A — means that the pilot or the winner did not complete the leg.

The scalar metric instead adds the losses against the mean of the top 10 pilots who completed each leg. A leg flown faster than that reference contributes 0.

Race time behind the leader at ESS

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.

A line that stops early is a pilot who landed. The top 5 are coloured; the table below has every pilot.

Horserace — minutes behind the leader at each turnpoint

PilotELLIOTKANGCKCORRYCORRY
Andy Schmidt0.09.70.00.0
Andy Phillips0.04.12.32.3
Dave Moore0.06.42.52.5
Damian Hamilton0.019.7
Mark Tyminski0.012.7
Curtis Greenwood0.05.1
Anthony Meechan0.01.5
Connor Hansen0.04.0
James Wynd0.04.3
Dean Bayly0.00.0

The elapsed race time, from the pilot’s own start, minus the fastest elapsed time to that turnpoint. A — means that the pilot did not reach the turnpoint.

Arriving at ESS with height to spare

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.

ESS altitude margin over final glide: top-10 median 615 m (n=3).

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.