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Metric details

Every pilot's reading on every behaviour, family by family.

Analysis computed

best: could be chance (0.24)

best: could be chance (0.45)

best: clear pattern (0.73)

#PilotGlideSpdGlideL/DWide%Dolphin%
1Zane Priebbenow40.6 (36 glides, 91 min gliding)0.99 (5 legs compared)20 (5 legs completed)10 (670 of 6500 m gained outside thermals)
2Richard Binstead44.4 (36 glides, 98 min gliding)0.95 (4 legs compared)24 (5 legs completed)7 (643 of 8633 m gained outside thermals)
3Frank Adler41.3 (39 glides, 110 min gliding)0.96 (5 legs compared)22 (5 legs completed)9 (857 of 9458 m gained outside thermals)
4Rafael Esquillaro42.2 (29 glides, 104 min gliding)1.07 (5 legs compared)29 (5 legs completed)7 (574 of 8067 m gained outside thermals)
5Gareth Carter42.5 (24 glides, 97 min gliding)0.98 (4 legs compared)24 (5 legs completed)9 (688 of 7707 m gained outside thermals)
6Kari Ellis40.2 (25 glides, 96 min gliding)1.08 (5 legs compared)25 (5 legs completed)7 (562 of 8190 m gained outside thermals)
7Phillip Mansell41.0 (33 glides, 103 min gliding)1.01 (5 legs compared)26 (5 legs completed)10 (810 of 7763 m gained outside thermals)
8Brian Webb41.4 (24 glides, 97 min gliding)1.07 (5 legs compared)24 (5 legs completed)6 (460 of 7692 m gained outside thermals)
9Jan Bennewitz35.1 (32 glides, 102 min gliding)0.79 (5 legs compared)20 (5 legs completed)7 (570 of 8170 m gained outside thermals)
10Wally Arcidiacono38.8 (27 glides, 102 min gliding)1.04 (4 legs compared)35 (5 legs completed)9 (706 of 8220 m gained outside thermals)
11Andy McMurray39.9 (7 glides, 54 min gliding)1.08 (1 leg compared)8 (1 leg completed)7 (160 of 2271 m gained outside thermals)
12James Thompson39.6 (4 glides, 23 min gliding)1.14 (1 leg compared)15 (1 leg completed)15 (131 of 872 m gained outside thermals)
13Geoff Wong37.6 (6 glides, 26 min gliding)33 (250 of 756 m gained outside thermals)
14Martin Joyce39.9 (4 glides, 20 min gliding)14 (123 of 898 m gained outside thermals)

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 40.4 km/h · p90 42.4 km/h (14 pilots)

best: clear pattern (0.64)

#PilotFloor%LowSaveskm/climbSearch%
1Zane Priebbenow41 (21 descents, lowest -11% of band)1.0 (deepest save from 8% of band)1.1 (mean shared-climb pctile 51%)25
2Richard Binstead43 (25 descents, lowest -25% of band)3.0 (deepest save from -24% of band)1.3 (mean shared-climb pctile 53%)29
3Frank Adler37 (25 descents, lowest -17% of band)3.0 (deepest save from -12% of band)1.1 (mean shared-climb pctile 51%)27
4Rafael Esquillaro20 (22 descents, lowest -32% of band)4.0 (deepest save from -28% of band)1.6 (mean shared-climb pctile 46%)22
5Gareth Carter15 (16 descents, lowest -39% of band)1.0 (deepest save from 11% of band)1.4 (mean shared-climb pctile 55%)25
6Kari Ellis28 (18 descents, lowest -44% of band)3.0 (deepest save from -41% of band)1.8 (mean shared-climb pctile 57%)20
7Phillip Mansell45 (22 descents, lowest 1% of band)0.01.3 (mean shared-climb pctile 49%)26
8Brian Webb29 (18 descents, lowest -16% of band)1.0 (deepest save from 14% of band)1.5 (mean shared-climb pctile 36%)20
9Jan Bennewitz26 (20 descents, lowest -19% of band)2.0 (deepest save from -7% of band)1.3 (mean shared-climb pctile 50%)25
10Wally Arcidiacono55 (19 descents, lowest -18% of band)2.0 (deepest save from 0% of band)1.1 (mean shared-climb pctile 47%)19
11Andy McMurray20 (4 descents, lowest -15% of band)1.0 (deepest save from -9% of band)3.8 (mean shared-climb pctile 59%)46
12James Thompson7 (2 descents, lowest 7% of band)0.040
13Geoff Wong0.040
14Martin Joyce-3 (2 descents, lowest -31% of band)0.047

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 29/39/40% · glide 33/35/39% · search 23/26/37%

best: clear pattern (0.61)

#PilotInGaggle%Marked%LeaveWin%
1Zane Priebbenow8257 (30/53 climbs marked)50 (1W–1L (2 departures))
2Richard Binstead8738 (18/48 climbs marked)100 (2W–0L (2 departures))
3Frank Adler7945 (25/55 climbs marked)0 (0W–2L (2 departures))
4Rafael Esquillaro6651 (20/39 climbs marked)50 (1W–1L (2 departures))
5Gareth Carter7929 (12/42 climbs marked)50 (1W–1L (2 departures))
6Kari Ellis7729 (10/34 climbs marked)100 (1W–0L (1 departure))
7Phillip Mansell9664 (29/45 climbs marked)33 (1W–2L (3 departures))
8Brian Webb9175 (30/40 climbs marked)17 (1W–5L (6 departures))
9Jan Bennewitz5149 (22/45 climbs marked)0 (0W–4L (4 departures))
10Wally Arcidiacono5230 (16/54 climbs marked)0 (0W–3L (3 departures))
11Andy McMurray8129 (2/7 climbs marked)
12James Thompson5157 (4/7 climbs marked)100 (1W–0L (1 departure))
13Geoff Wong3689 (8/9 climbs marked)
14Martin Joyce3967 (4/6 climbs marked)

Time spent flying with a gaggle

Measured in percent · no expected direction

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

30 gaggle episodes detected (peak size 11 pilots).

best: clear pattern (0.59)