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Task 3 (Floater)

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

Analysis computed

Pilots analysed
17
Sampling
every 10s
Shared thermals
14 of 59multi-pilot
Working band
8392445 m
Phase coverage
100%

What separated the field

Each metric's Spearman correlation against the published rank. Rank 1 is best, so a metric where more is better shows a negative ρ. Bigger bars mean the metric separated the field more sharply on this task. Select a row to see that metric plotted against rank.

MetricρStrengthnVerdictFamily
Climb rate vs field in shared thermals-0.69
16strongClimbing
Altitude margin over final glide at ESS-0.60
4n too smallRace craft
Search fraction of the speed section0.59
16strongDecision-making
Dolphin climb fraction0.56
10within noiseGliding
Thermal departure altitude as % of the working band-0.48
10within noiseClimbing
Altitude floor (band % at climb decisions)-0.46
7n too smallDecision-making
Low saves (climbs from the bottom of the band)-0.46
16within noiseDecision-making
Time in non-sinking air0.43
17within noiseDay profile & wind
Time to core a thermal-0.42
17within noiseClimbing
Marker usage (climbs entered on another pilot's climb)0.38
9within noiseGaggle
Share of circling encounters accepted as climbs-0.29
8within noiseClimbing
Circle fit error relative to circle radius0.25
16within noiseClimbing
Start delay (gate to crossing)0.23
16within noiseRace craft
Glide L/D vs field (per leg)-0.22
9within noiseGliding
Track efficiency (actual ÷ optimized leg distance)-0.20
9within noiseGliding
Climbs per 100 km flown0.20
4n too smallDecision-making
Speed-to-fly proxy-0.11
7n too smallGliding
Gaggle affinity (post-start time in a gaggle)0.10
16within noiseGaggle
Glide speed (post-start)0.05
10within noiseGliding
Climb rate over the last 30 s of each thermal-0.05
17within noiseClimbing

Verdicts: strong |ρ| ≥ 0.5, moderate ≥ 0.3, weak below — but only after clearing the noise floor for that metric's n. within noise means shuffled ranks produce a coefficient that size more than 5% of the time, so it is indistinguishable from luck whatever its magnitude.

With 20 metrics ranked on this one task, the top rows are partly selection luck — trust the metrics that repeat across tasks in the competition-level analysis.

4 metrics correlated fewer than 8 pilots — treat those rows as indicative only.

Climb rate vs field in shared thermals

Measured in percent · higher is better

In every thermal two or more pilots used, each use is ranked by average climb rate; a use’s percentile is the share of strictly slower uses. The value is the duration-weighted mean percentile over the pilot’s shared climbs — centering skill isolated from thermal selection.

Each dot is a pilot: across is the metric's value, up is a better rank. ρ = -0.69 (strong, n = 16). More is expected to be better here, and it was: top ranks gather to the right. 1 pilot has no value and is not plotted.

Outcome checks

These metrics are derived from the race outcome itself, so they correlate with rank by construction — a low |ρ| here questions the eval, not the flying. Their per-pilot diagnostics stay in the Race craft section below.

MetricρStrengthnVerdict
Time behind the leader at ESS1.00
4n too small
Time lost on speed-section legs-0.53
9within noise

The whole field at a glance

1. Nicole Forrester
2. Dean Bayly
3. Dustan Hansen
4. Donny Gardner
5. Mike Estcourt
6. Amber Tsai
7. Gordon Bishop
8. Mark Tyminski
9. James McGinty
10. Patrick Honey
11. James Atkinson
12. Jakota Cummings
13. Hayden Emms
14. Curtis Greenwood
15. Jason Lannstrom
16. Anthony Meechan
17. Mark Wallace
Pilots in rank order against every metric: darker = a better percentile in this field (empty = not applicable). Column order follows the family sections below, which carry the exact values. † No good/bad direction — shade is position in the field, not quality.

Pilot style clusters

Groups are flying style, not score — the rank spread on each shows where that style did and did not pay. Each group is named after its strongest signature; ★ marks the pilot most typical of their group.

Group AHigh leavers

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

  • HighThermal departure altitude as % of the working band group median P83 in this field (81 percent)
  • LowSearch fraction of the speed section group median P17 in this field (26 percent) · usually a strength
  • HighTime to core a thermal group median P81 in this field (82 seconds) · usually costly
  • LowDolphin climb fraction group median P22 in this field (7 percent)
  • 2. Dean Bayly
  • 3. Dustan Hansen
  • 4. Donny Gardner (most typical of this group)
  • 5. Mike Estcourt

Group BDeep diggers

6 pilots · ranks 116 · median 9.5 · middle half 6.813

  • LowAltitude floor (band % at climb decisions) group median P17 in this field (-4 percent) · usually costly
  • LowMarker usage (climbs entered on another pilot's climb) group median P19 in this field (0 percent)
  • HighCircle fit error relative to circle radius group median P77 in this field (0.20 ratio) · usually costly
  • LowStart delay (gate to crossing) group median P23 in this field (4381 seconds) · usually a strength
  • 1. Nicole Forrester
  • 6. Amber Tsai
  • 9. James McGinty
  • 10. Patrick Honey (most typical of this group)
  • 14. Curtis Greenwood
  • 16. Anthony Meechan

Not clustered: 7. Gordon Bishop — only 11 of 20 metrics available (needs ≥ 60%); 8. Mark Tyminski — only 11 of 20 metrics available (needs ≥ 60%); 11. James Atkinson — only 8 of 20 metrics available (needs ≥ 60%); 12. Jakota Cummings — only 5 of 20 metrics available (needs ≥ 60%); 13. Hayden Emms — only 8 of 20 metrics available (needs ≥ 60%); 15. Jason Lannstrom — only 10 of 20 metrics available (needs ≥ 60%); 17. Mark Wallace — only 9 of 20 metrics available (needs ≥ 60%).

Pilots are grouped by flying style, not by score: every behavioural metric is rank-transformed to a within-field percentile, pilots are compared by the mean percentile gap over the metrics both have (missing values are never imputed), and Ward-linkage agglomeration forms the groups, with the number of groups chosen by the best mean silhouette. Each group is annotated with the GAP-rank spread of its members — where a style did and did not pay. Here: 10 pilots on 20 behavioural metrics formed 2 groups (k searched 23); mean silhouette 0.17 — near 0 means soft group boundaries, near 1 tight well-separated groups.

The metrics in detail

strongest |ρ| 0.43

strongest |ρ| 0.69

#PilotSharedPctCore sExitDecayAccept%ExitBand%Smooth
1Nicole Forrester85 (5 shared climbs)52 (9 climbs ≥ 60 s)1.3 (5 climbs ≥ 90 s)44 (4/9 circling bouts led to climbs)43 (mean on-course altitude 36% of band)0.21 (120 circles, 96% left)
2Dean Bayly83 (9 shared climbs)91 (7 climbs ≥ 60 s)1.4 (5 climbs ≥ 90 s)43 (3/7 circling bouts led to climbs)103 (mean on-course altitude 72% of band)0.14 (77 circles, 99% left)
3Dustan Hansen76 (17 shared climbs)73 (16 climbs ≥ 60 s)1.6 (14 climbs ≥ 90 s)60 (3/5 circling bouts led to climbs)82 (mean on-course altitude 50% of band)0.18 (121 circles, 100% left)
4Donny Gardner82 (12 shared climbs)98 (12 climbs ≥ 60 s)1.6 (11 climbs ≥ 90 s)67 (4/6 circling bouts led to climbs)80 (mean on-course altitude 51% of band)0.18 (144 circles, 100% left)
5Mike Estcourt84 (15 shared climbs)50 (11 climbs ≥ 60 s)1.4 (8 climbs ≥ 90 s)50 (3/6 circling bouts led to climbs)79 (mean on-course altitude 52% of band)0.15 (113 circles, 44% left)
6Amber Tsai78 (7 shared climbs)34 (12 climbs ≥ 60 s)1.4 (8 climbs ≥ 90 s)40 (2/5 circling bouts led to climbs)25 (mean on-course altitude 25% of band)0.21 (145 circles, 55% left)
7Gordon Bishop83 (5 shared climbs)56 (3 climbs ≥ 60 s)1.3 (2 climbs ≥ 90 s)0.13 (45 circles, 93% left)
8Mark Tyminski52 (29 shared climbs)15 (12 climbs ≥ 60 s)1.3 (3 climbs ≥ 90 s)0.14 (197 circles, 82% left)
9James McGinty55 (10 shared climbs)78 (1 climb ≥ 60 s)1.5 (1 climb ≥ 90 s)2 (mean on-course altitude -6% of band)0.16 (18 circles, 94% left)
10Patrick Honey71 (17 shared climbs)37 (6 climbs ≥ 60 s)1.2 (4 climbs ≥ 90 s)50 (2/4 circling bouts led to climbs)13 (mean on-course altitude 17% of band)0.18 (112 circles, 59% left)
11James Atkinson14 (1 shared climb)120 (1 climb ≥ 60 s)0.3 (1 climb ≥ 90 s) (2 circles, 50% left)
12Jakota Cummings62 (21 shared climbs)50 (4 climbs ≥ 60 s)1.4 (2 climbs ≥ 90 s)0.15 (54 circles, 98% left)
13Hayden Emms52 (1 climb ≥ 60 s)0.7 (1 climb ≥ 90 s)0.19 (10 circles, 100% left)
14Curtis Greenwood37 (22 shared climbs)47 (18 climbs ≥ 60 s)0.6 (12 climbs ≥ 90 s)40 (4/10 circling bouts led to climbs)74 (mean on-course altitude 66% of band)0.33 (33 circles, 64% left)
15Jason Lannstrom75 (13 shared climbs)12 (3 climbs ≥ 60 s)1.6 (2 climbs ≥ 90 s)0.18 (41 circles, 100% left)
16Anthony Meechan61 (26 shared climbs)45 (5 climbs ≥ 60 s)2.3 (2 climbs ≥ 90 s)61 (mean on-course altitude 47% of band)0.19 (63 circles, 98% left)
17Mark Wallace63 (18 shared climbs)52 (8 climbs ≥ 60 s)1.4 (5 climbs ≥ 90 s)0.20 (60 circles, 100% left)

Share of circling encounters accepted as climbs

Measured in percent · no expected direction

Post-start circling bouts of at least 30 s are lift encounters; one that overlaps a detected thermal was accepted, otherwise the pilot circled and rejected the lift. The value is the percentage accepted — low means picky, high means they take almost everything they turn in.

Acceptance by hour

HourMedian accepted (%)pilots
675
306
257
252

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

Circle fit error relative to circle radius

Measured in ratio · lower is better

Each detected circle is least-squares fitted; its RMS fit error divided by the fitted radius measures how round the turn really was. The value is the median over all the pilot’s circles — lower means smoother, more consistent turning.

Turn direction across the field: 83% left (1355 circles).

strongest |ρ| 0.56

strongest |ρ| 0.59

#PilotFloor%LowSavesClm/100kmSearch%
1Nicole Forrester1.0 (deepest save from 13% of band)31.1 (mean shared-climb pctile 54%)40
2Dean Bayly74 (2 dips, lowest 73% of band)0.022.2 (mean shared-climb pctile 59%)28
3Dustan Hansen51 (2 dips, lowest 41% of band)0.017.7 (mean shared-climb pctile 65%)16
4Donny Gardner32 (2 dips, lowest 25% of band)0.044.4 (mean shared-climb pctile 62%)24
5Mike Estcourt25 (4 dips, lowest 0% of band)2.0 (deepest save from 0% of band)41
6Amber Tsai-4 (2 dips, lowest -20% of band)1.0 (deepest save from -11% of band)56
7Gordon Bishop0.047
8Mark Tyminski0.025
9James McGinty0.061
10Patrick Honey0.074
11James Atkinson0.0100
12Jakota Cummings
13Hayden Emms0.0100
14Curtis Greenwood76 (4 dips, lowest 27% of band)0.050
15Jason Lannstrom0.025
16Anthony Meechan-50 (2 dips, lowest -50% of band)0.058
17Mark Wallace0.0100

Search fraction of the speed section

Measured in percent · lower is better

Share of speed-section time (start to ESS, or landing) spent searching — neither climbing in a thermal nor gliding with real net speed. Lower means less time leaks away between climbs.

Speed-section phase shares, field p25/median/p75: climb 0/21/33% · glide 11/24/45% · search 27/49/64%

strongest |ρ| 0.38

strongest |ρ| 0.60

#PilotStartDlyLegLostBehindESSMargin
1Nicole Forrester36074660.01079
2Dean Bayly50675512.91496
3Dustan Hansen10313095.3463
4Donny Gardner11223397125.6574
5Mike Estcourt8238349
6Amber Tsai316597
7Gordon Bishop30680
8Mark Tyminski118960
9James McGinty435621
10Patrick Honey4405
11James Atkinson7615
12Jakota Cummings
13Hayden Emms11798
14Curtis Greenwood8620
15Jason Lannstrom10101
16Anthony Meechan7100
17Mark Wallace9045

Start delay (gate to crossing)

Measured in seconds · lower is better

Seconds from the start gate taken (or the pilot’s own crossing on elapsed-time tasks, where the delay is 0 by definition) to the scored SSS crossing. The start table adds crossing altitude and how far behind the leading already-started pilot each start was.

Start execution

PilotDelayAlt mBand %Behind km
Nicole Forrester60:0724551012.4
Dean Bayly84:271956702.9
Dustan Hansen171:532131801.2
Donny Gardner187:032351940.3
Mike Estcourt137:181147190.0
Amber Tsai52:451769581.7
Gordon Bishop51:081870640.0
Mark Tyminski198:161682520.0
James McGinty72:361185222.4
Patrick Honey73:251760572.5
James Atkinson126:55401-270.0
Hayden Emms196:38412-272.2
Curtis Greenwood143:401359322.4
Jason Lannstrom168:212150825.3
Anthony Meechan118:201811610.9
Mark Wallace150:45560-174.5

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).

Time lost on speed-section legs

Measured in seconds · lower is better

For each completed speed-section leg, the pilot’s leg time is compared with the mean of the top-10 (by rank) pilots who completed that leg; only losses count, and the losses are summed. Summed leg times are race time and the reference is defined by rank, so this tracks the outcome by construction — read the waterfall table (every leg against the task winner) for the diagnostic, not the correlation for a finding.

+1:51SSS→TOWONG-1:39TOWONG→ELLITP-11:36ELLITP→ESS
Dean Bayly against the winner, leg by leg: bars hanging below the line are time lost, bars above are time gained; over the 3 compared legs, -11:25 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→TOWONGTOWONG→ELLITPELLITP→ESSTotal
Nicole Forrester+0:00+0:00+0:00+0:00
Dean Bayly+1:51-1:39-11:36-11:25
Dustan Hansen+0:08-1:24-15:15-16:31
Donny Gardner-0:09-0:57-0:12-1:17
Mike Estcourt+6:46+6:46
Amber Tsai+2:33+2:33
Gordon Bishop-2:20-2:20
Mark Tyminski-1:42-1:42
James McGinty+1:17+1:17

Cells: this pilot’s leg time minus the winner’s (+ = slower than the winner, − = faster); — = leg not completed by pilot or winner.

The scalar metric instead sums losses vs the mean of the top 10 pilots who completed each leg (legs flown faster than that reference contribute 0).

Time behind the leader at ESS

Measured in minutes · lower is better

At each speed-section turnpoint, elapsed race time (reaching minus own start) is compared with the fastest pilot to that turnpoint; the scalar is minutes behind at ESS. Expected to track final rank almost perfectly — this metric is the eval’s sanity check.

Minutes behind the fastest pilot at each turnpoint — the leader runs along the top at zero, and a line that stops early is a pilot who landed. The top 5 are coloured; every pilot's exact numbers are in the table below.

Horserace — minutes behind the leader at each turnpoint

PilotELLIOTTOWONGELLITPKHANCOKHANCO
Nicole Forrester9.011.30.00.00.0
Dean Bayly33.337.524.512.912.9
Dustan Hansen120.8123.2110.595.395.3
Donny Gardner135.9138.1125.8125.6125.6
Mike Estcourt86.295.3
Amber Tsai1.66.5
Gordon Bishop0.00.0
Mark Tyminski147.1147.8
James McGinty21.525.1
Patrick Honey22.3
James Atkinson75.8
Hayden Emms145.5
Curtis Greenwood92.5
Jason Lannstrom117.2
Anthony Meechan67.2
Mark Wallace99.6

Elapsed race time (from each pilot’s own start) minus the fastest elapsed time to that turnpoint; — = turnpoint not reached.

Altitude margin over final glide at ESS

Measured in metres · lower is better

Altitude at ESS minus the altitude needed to glide to goal at the sport’s standard glide ratio (S7F §12.3.6: 5.0 HG / 4.0 PG). A big positive margin is altitude — i.e. time — left unspent.

ESS altitude margin over final glide: top-10 median 826 m (n=4).

Metric glossary

How every metric on this page is measured. On screen, the ⓘ next to a metric opens the same description in place; in print, this section is the reference for all of them.

Day profile & wind

Wind (by hour and by leg)(“Wind” in tables)
Measured in kilometres per hour · no expected direction

Wind estimated from every pilot’s circling (centre drift preferred, ground-speed modulation as fallback), vector-averaged two ways: by hour of day (how the wind built and shifted through the day) and by speed-section leg (the wind each part of the course saw). Field-level only — no per-pilot value.

Climb by hour(“Climb/hr” in tables)
Measured in metres per second · no expected direction

All pilots’ thermal climbs bucketed by the hour the climb started (labelled in the competition’s time zone): median and 90th-percentile average climb rate per hour show how the day’s lift developed. Field-level only — no per-pilot value.

Time in non-sinking air(“NonSink%” in tables)
Measured in percent · no expected direction

Share of a pilot’s airborne time (on the shared grid) spent in non-sinking air — 30 s-smoothed vario at or above −0.5 m/s. Reflects how much of the flight met usable air: when flown, where the pilot steered, and how the flight ended all feed it, so the correlation sign is the finding. The timing table relates the day’s best climbs window to when the field actually launched.

Climbing

Climb rate vs field in shared thermals(“SharedPct” in tables)
Measured in percent · higher is better

In every thermal two or more pilots used, each use is ranked by average climb rate; a use’s percentile is the share of strictly slower uses. The value is the duration-weighted mean percentile over the pilot’s shared climbs — centering skill isolated from thermal selection.

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

For each thermal of at least 60 s, the seconds from entering until the 30 s rolling climb rate first reaches 90% of its peak in that thermal. The value is the median across the pilot’s thermals — how fast they centre the best lift after arriving.

Climb rate over the last 30 s of each thermal(“ExitDecay” in tables)
Measured in metres per second · no expected direction

For each thermal of at least 90 s, the climb rate over its final 30 s — the "give-up rate". The value is the median: low means the pilot abandons weakening lift early, high means they ride climbs to the end; the correlation sign says which behaviour paid on this task.

Share of circling encounters accepted as climbs(“Accept%” in tables)
Measured in percent · no expected direction

Post-start circling bouts of at least 30 s are lift encounters; one that overlaps a detected thermal was accepted, otherwise the pilot circled and rejected the lift. The value is the percentage accepted — low means picky, high means they take almost everything they turn in.

Thermal departure altitude as % of the working band(“ExitBand%” in tables)
Measured in percent · no expected direction

The altitude at which the pilot left each post-start thermal, as a percentage of the day’s working band (0% = field floor, 100% = field ceiling); the value is the median. High means topping out every climb, low means leaving early with climb still available.

Circle fit error relative to circle radius(“Smooth” in tables)
Measured in ratio · lower is better

Each detected circle is least-squares fitted; its RMS fit error divided by the fitted radius measures how round the turn really was. The value is the median over all the pilot’s circles — lower means smoother, more consistent turning.

Gliding

Glide speed (post-start)(“GlideSpd” in tables)
Measured in kilometres per hour · higher is better

Duration-weighted mean ground speed over post-start glide segments (glide distance ÷ glide time). Higher means the pilot covers ground faster between climbs.

Glide L/D vs field (per leg)(“L/D vs f” in tables)
Measured in ratio · higher is better

For each completed speed-section leg, the pilot's glide-phase L/D (path distance ÷ net altitude lost while gliding; legs losing under 100 m skipped) is divided by the field's median L/D on that same leg, then averaged over legs. Above 1.0 means the pilot found better glide lines than the field on the same legs.

Speed-to-fly proxy(“STFproxy” in tables)
Measured in kilometres per hour · higher is better

A speed-to-fly PROXY — no glider polar data exists. Each post-start glide is paired with the climb rate of the next thermal starting within 5 minutes; the value is the mean glide speed flown before stronger-than-median climbs minus the mean before weaker ones. Positive means the pilot speeds up when the next climb justifies it.

Track efficiency (actual ÷ optimized leg distance)(“TrackEff” in tables)
Measured in ratio · lower is better

Route distance flown on each completed speed-section leg — full path outside climbs, each climb counted as its net drift — ÷ the leg's optimized distance, averaged with optimized-distance weights. Closer to 1.0 means less deviation from the optimal course line; circling path is excluded, so stopping to climb does not read as bad line choice.

Dolphin climb fraction(“Dolphin%” in tables)
Measured in percent · no expected direction

Share of post-start altitude gain (10 s-smoothed) made outside detected thermals — climbing on the run instead of stopping to circle. Neutral: the correlation sign shows whether dolphin climbing paid on this day.

Decision-making

Altitude floor (band % at climb decisions)(“Floor%” in tables)
Measured in percent · higher is better

Finds each pilot's post-start altitude minima (30 s-smoothed, at least 100 m below the surrounding maxima) — the points where they stopped descending and committed to a climb — and reports the median as a percentage of the day's working band. Higher means the pilot keeps more margin in hand before taking a climb.

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

Counts post-start climbs entered below 15% of the working band that went on to gain at least 300 m — genuine low saves. Zero is a real score for a started pilot; the correlation sign says whether digging out or never getting low is what pays.

Climbs per 100 km flown(“Clm/100km” in tables)
Measured in count · lower is better

Post-start thermal count per 100 km of scored flown distance — how often the pilot stops to circle. Each pilot's note adds their mean climb percentile within shared thermals, so few stops can be read together with climb strength.

Search fraction of the speed section(“Search%” in tables)
Measured in percent · lower is better

Share of speed-section time (start to ESS, or landing) spent searching — neither climbing in a thermal nor gliding with real net speed. Lower means less time leaks away between climbs.

Gaggle

Gaggle affinity (post-start time in a gaggle)(“Affinity” in tables)
Measured in percent · no expected direction

Share of a pilot's post-start flying time spent inside a detected gaggle (clustered with at least one other racing pilot on the shared time grid). Neutral: the correlation sign says whether sticking with company paid on the day.

Marker usage (climbs entered on another pilot's climb)(“Marked%” in tables)
Measured in percent · no expected direction

Share of a pilot's post-start climbs where another pilot was already established (at least 30 s) and still climbing in the same thermal when they joined. High = climbs on others' markers; low = finds their own lift.

Gaggle departure win rate(“DepartWin” in tables)
Measured in percent · no expected direction

When a pilot leaves a gaggle that keeps flying, did leaving pay off? We compare the leaver's arrival at the next turnpoint against the median arrival of the pilots who stayed. Win rate > 50% means their departures beat the gaggle. Only pilots still in the gaggle after the split who reached that turnpoint after it count as stayers.

Race craft

Start delay (gate to crossing)(“StartDly” in tables)
Measured in seconds · lower is better

Seconds from the start gate taken (or the pilot’s own crossing on elapsed-time tasks, where the delay is 0 by definition) to the scored SSS crossing. The start table adds crossing altitude and how far behind the leading already-started pilot each start was.

Time lost on speed-section legs(“LegLost” in tables)
Measured in seconds · lower is better

For each completed speed-section leg, the pilot’s leg time is compared with the mean of the top-10 (by rank) pilots who completed that leg; only losses count, and the losses are summed. Summed leg times are race time and the reference is defined by rank, so this tracks the outcome by construction — read the waterfall table (every leg against the task winner) for the diagnostic, not the correlation for a finding.

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

At each speed-section turnpoint, elapsed race time (reaching minus own start) is compared with the fastest pilot to that turnpoint; the scalar is minutes behind at ESS. Expected to track final rank almost perfectly — this metric is the eval’s sanity check.

Altitude margin over final glide at ESS(“ESSMargin” in tables)
Measured in metres · lower is better

Altitude at ESS minus the altitude needed to glide to goal at the sport’s standard glide ratio (S7F §12.3.6: 5.0 HG / 4.0 PG). A big positive margin is altitude — i.e. time — left unspent.

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

At the pilot’s last climb before ESS (or landing): distance to goal divided by height above goal — the glide ratio they committed to. Only counted when that climb ended within 1.5× the final leg’s distance of goal.