Locus Fit

Takács Zsigmond

Patent Győr · 2012 to 2020

Starts
168
Finals
92
Wins
20
Seasons
9
Events
27
K-1 1000m31K-2 1000m28K-1 500m27K-2 500m10MK-1 2000m10K-1 2000m8K-1 RELAY 600m7K-4 1000m6

Personal bests

Fastest time in every event

Singles

Crew boats

Season by season

How each event has moved

▸How to read these charts

The line is %GMT: the winner's time divided by this athlete's, so 100% is winning pace and higher is better. It is the only number that compares across years, venues and conditions; the raw time is printed on each point because that is the one a paddler recognises. A dashed segment skips seasons with no results, and the grey tick is that season's median. ▽ marks a time so far off this athlete's best it is almost always a garbled source time.

Under the line is the season's best placement, with its round: 4th in an A final beats 1st in a B final. "A·9" is an A final with nine boats.

Seasons are labelled by age on Dec 31 of that year, the way age classes count it. The birth year comes from the result sheets.

AA finalBB finalCC final or lowerSFsemifinalHheat / time trial?round unclassified

K-1 1000m

PB 03:35.972▲ 8.1 pts since age 1431 starts · 5 seasons
100%91%83%% of winner's timeplace04:06.71003:54.51003:41.02603:43.00303:35.9722016 · 4th in I. Középfutam (semifinal) · field of 9 · Vidék Bajnokság4SF·92017 · 1st in A Döntő (A final) · field of 9 · Keretfeltöltő, Dunai István Emlékverseny1A·92018 · 9th in A Döntő (A final) · field of 9 · Felnőtt, Ifjúsági Parakenu Rangsoroló9A·92019 · 6th in A Döntő (A final) · field of 9 · Felnőtt, Ifjúsági és Parakenu Rangsoroló6A·92020 · 1st in Döntő II. (A final) · field of 9 · Felnőtt, parakenu és utánpótlás edzésverseny1A·9age142016U14152017U1516*2018U1817*2019U18182020U18

2018* fastest time in I. Középfutam, best place in A Döntő. Same regatta, so the fastest time came from a round that did not decide the placing.

2019* fastest time in III. Középfutam, best place in A Döntő. Same regatta, so the fastest time came from a round that did not decide the placing.

MK-1 2000m

PB 10:48.770▲ 5.5 pts since age 1110 starts · 4 seasons
96%86%76%% of winner's timeplace12:59.33011:18.16811:08.01010:48.7702012 · 13th in I. Előfutam (heat / time trial) · field of 14 · Országos Diákolimpia, Szabó Ferenc Emlékverseny, Főiskolai és Egyetemi Bajnokság13H·142013 · 7th in Döntő II. (A final) · field of 25 · Ifjúsági, U23 és Parakenu Világbajnoki Válogatóverseny, Vidék Bajnokság7A·252014 · 2nd in Döntő I. (A final) · field of 25 · Vidék Bajnokság2A·252015 · 4th in B Döntő (A final) · field of 15 · Országos Diákolimpia4A·15age102012U11112013U11122014U1213*2015U13

▽ 1 season sit against the axis floor and are left out of the line: a time that far off this athlete's own best here is nearly always a garbled source time, not a season.

2015* fastest time in II. Előfutam, best place in B Döntő. Same regatta, so the fastest time came from a round that did not decide the placing.

MK-4 2000m

PB 10:27.260▼ 3.4 pts since age 103 starts · 3 seasons
86%76%66%% of winner's timeplace10:27.26011:29.90013:00.0002012 · 6th in A Döntő (A final) · field of 6 · Vidék Bajnokság, U23 EB Válogató6A·62013 · 16th in A Döntő (A final) · field of 17 · Országos Diákolimpia16A·172015 · 14th in A Döntő (A final) · field of 16 · Országos Diákolimpia14A·16age102012U12112013U12132015U13

▽ 1 season sit against the axis floor and are left out of the line: a time that far off this athlete's own best here is nearly always a garbled source time, not a season.

K-1 15000m

PB 55:13.7202 starts · 2 seasons
99%89%79%% of winner's timeplace01:16:40.41055:13.7202017 · 29th in Döntő I. (A final) · field of 29 · Graboplast Maraton Magyar Bajnokság29A·292018 · 2nd in Döntő II. (A final) · field of 27 · Graboplast Maraton Magyar Bajnokság2A·27age152017U15162018U16

▽ 1 season sit against the axis floor and are left out of the line: a time that far off this athlete's own best here is nearly always a garbled source time, not a season.

One season only

K-1 200mage 15201700:42.794 88.2%5th H·8→K-1 10000mage 14201640:47.780 77.6%5th A·28→K-1 21000mage 17201901:18:57.750 97.6%7th A·32→K-2 200mage 17201934.240 98.9%2nd A·9→K-2 2000mage 16201807:42.456 100.0%1st A·13→K-2 4000mage 15201716:10.246 91.3%1st A·13→K-2 15000mage 16201851:53.080 100.0%1st A·24→K-2 22000mage 17201901:29:03.000 95.8%5th A·17→MK-1 4000mage 13201521:41.350 92.1%10th A·46→MK-1 5000mage 12201423:34.090 90.0%10th A·29→MK-1 10000mage 13201548:46.640 94.5%10th A·29→MK-1 RELAY 600mage 13201502:41.510 98.4%1st A·7→MK-2 2000mage 11201311:40.020 84.6%7th A·11→MK-4 1000mage 12201404:15.230 100.0%1st A·8→

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