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Month: February 2021

Pokljuka Mass Start Men in Comic form

Posted on 2021-02-24 | by biathlonanalytics | Leave a Comment on Pokljuka Mass Start Men in Comic form
Pokljuka2021MassStartMenComicDownload
Posted in Biathlon Media | Tagged comic

When to start (in an interval start race)?

Posted on 2021-02-17 | by biathlonanalytics | Leave a Comment on When to start (in an interval start race)?

This is a research project about when to start in individual and sprint races based on impact of conditions. I wanted to see in the data if starting early or late in the race had a positive or negative impact on the skiing and shooting of competitors.

For skiing I will use the Z score, and compare the athletes’ season average score to their actual race score, per athlete bib. This gives a much fairer number as strictly looking at the Z score per athlete, the skiing ability comes into play. When comparing to the season average of the athlete, you can say, regardless of skiing ability, if an athlete was faster (neg. or slower (+) than his or her average.

I also added the three weather data points at the start, after the start (+30 min.) and at the end of the race, around +80 minutes. like so:

The logic of the weather timing is a follows: “at the start” is time 0, or when the first athlete leaves. “After the start” is 30 minutes after the start of the race. In 30 minutes 60 athletes will start (half-minute intervals), and about 30 of them will spend most of their time in “at the start” weather. The the “at the start” group is bibs 1-30. Then the last measure point is when the last athlete finishes, so quite a bit later, depending on the type of race. On average I’d say bibs 31-80 spend most of their time in the “after the start” weather, and after that, they spend the most time on the “finish” weather.

So to see how every athlete performed compared to their season average, I subtracted the season value from the actual race value; any score above zero means slower than season average, and anything below would be faster than season average:

But this is still not giving much information, just lots of data. So to simplify and aggregate some data I looked at the bib numbers of athletes that fall into the different weather groups:

Well, it’s telling us more but perhaps a little to aggregated? Also we should have a look at the axis, as this image suggests large differences, the at the start group is only 0.0859 faster than season average, so the actual impact in this race example is actually very small.

To get to a detail level somewhere in between, I grouped the athletes by 10s of bib numbers, 1-10, 11-20, 21-30, etc., both for the Actual vs season average and the delta where I average the 10 athletes within each group:

This level of detail looks about right, here we can generally see the “weather groups” but still have a bit more details. The average lines also provide useful information when comparing the three weather groups, or the bib groups within a weather group.

Now we can do the same for Shooting Z Scores:

Now that you have read this please play with the dashboard located on Tableau Public and see where the starting bib combined with conditions had a positive or negative impact on the athletes.

Posted in Long-term trends, Statistical analysis

Biathlon Podcast: World Champs Part 1

Posted on 2021-02-17 | by Brian Halligan | 1 Comment on Biathlon Podcast: World Champs Part 1
Video ID not provided: Please check your shortcode.

Brian and Ethan agreed to have their biathlon podcast posted here. Listen to their latest episode on the first World Championship weekend to give you an interesting North American perspective on the most recent biathlon races:


World Champs is finally here!

Brian and Ethan celebrate making good predictions last episode with Sebastian Samuelsson of Sweden and Marketa Davidova of Czech Republic both earning metals in the first races.

The German men seem to have missed the message that this is world champs.

Tiril Eckhoff of Norway is on a tear! Will she pass teammate Marte Olsbu Rรธiseland for the record of most WCH golds?

Emilien Jacqueline of France shows a dominating performance with back to back 17 second shoots in the Pursuit.

Jake Brown of the USA has a career best when it counts. How will the US stack up this coming weekend?

Finally, Mass Start predictions. Who will win?

Posted in Biathlon Media | Tagged biathlon podcast

All-time records for World Cup level pursuits

Posted on 2021-02-15 | by real biathlon | Leave a Comment on All-time records for World Cup level pursuits

At every major championship, there’s always the question of all-time records for pursuit performances. Let’s take a more detailed look at this. Pursuits are held since 1996โ€“97 on World Cup level; there have been 185 men’s and 184 women’s pursuits in total. Records for a few of the earliest pursuits (1996โ€“97 and 1997โ€“98) don’t have bib numbers and/or time deficits and couldn’t be included here.

Men

Andreas Birnbacher holds the record for winning from furthest back (starting in 26th position), while Sven Fischer won with the biggest time gap at the start (1:36 min). Tarjei Bรธ once made second place with bib 44, which is a record for both biggest position and biggest time gain for a podium finisher (it’s also the biggest time gain overall, 2:14.4). Julien Robert has the record for the biggest improvement overall (50 positions).

Win from furthest back (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start Deficit
126BirnbacherAndreasGER
2011Hochfilzen-251:09.0
120DrachevVladimirBLR
2003Oestersund-191:18.0
118SamuelssonSebastianSWE
2020Kontiolahti-171:10.0
117SumannChristophAUT
2007Pokljuka-160:59.0
116BjoerndalenOle EinarNOR
2006Kontiolahti-150:48.0
115PoireeRaphaelFRA
1999Ruhpolding-140:47.0
113MaigourovViktorRUS
2001Oberhof-121:32.0
112MaigourovViktorRUS
1997Brezno-Osrblie (WCH)-110:48.0
111PoireeRaphaelFRA
1999Lake Placid-100:52.0
110FischerSvenGER
2004Oslo -91:36.0

Win from furthest back (time deficit)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start Deficit
110FischerSvenGER
2004Oslo -91:36.0
113MaigourovViktorRUS
2001Oberhof-121:32.0
120DrachevVladimirBLR
2003Oestersund-191:18.0
19BoeufAlexisFRA
2011Presque Isle ME-81:14.0
18FerryBjoernSWE
2010Whistler-71:12.0
118SamuelssonSebastianSWE
2020Kontiolahti-171:10.0
126BirnbacherAndreasGER
2011Hochfilzen-251:09.0
17BjoerndalenOle EinarNOR
2003Oslo -61:07.0
16SvendsenEmil HegleNOR
2011Oslo -51:04.0
110GreisMichaelGER
2008PyeongChang-91:01.0

Podium from furthest back (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
244BoeTarjeiNOR
2011Oslo-422:15.00:00.62:14.4
335FourcadeMartinFRA
2011Oslo-321:57.00:07.31:49.7
329KrcmarMichalCZE
2017Ruhpolding-261:33.00:19.51:13.5
126BirnbacherAndreasGER
2011Hochfilzen-251:09.0 1:09.0
325GrossRiccoGER
2001Hochfilzen-222:38.00:26.32:11.7
223ShipulinAntonRUS
2017PyeongChang-211:30.00:34.50:55.5
323ShipulinAntonRUS
2012Oestersund-201:08.00:03.31:04.7
222FourcadeSimonFRA
2013Khanty-Mansiysk-201:32.00:35.70:56.3
323KruglovNikolayRUS
2004Fort Kent -202:20.01:27.40:52.6
120DrachevVladimirBLR
2003Oestersund-191:18.0 1:18.0

Podium from furthest back (time deficit)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
244BoeTarjeiNOR
2011Oslo-422:15.00:00.62:14.4
325GrossRiccoGER
2001Hochfilzen-222:38.00:26.32:11.7
335FourcadeMartinFRA
2011Oslo-321:57.00:07.31:49.7
110FischerSvenGER
2004Oslo-91:36.0 1:36.0
113MaigourovViktorRUS
2001Oberhof-121:32.0 1:32.0
321PuurunenPaavoFIN
2003Khanty-Mansiysk (WCH)-182:16.00:56.31:19.7
314WolfAlexanderGER
2005Oberhof-111:25.00:06.51:18.5
120DrachevVladimirBLR
2003Oestersund-191:18.0 1:18.0
316AndresenFrodeNOR
2000Lahti-131:37.00:22.81:14.2
19BoeufAlexisFRA
2011Presque Isle -81:14.0 1:14.0

Biggest improvement overall (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
1060RobertJulienFRA
2005Oestersund-501:42.00:57.80:44.2
957PrymaArtemUKR
2017Oberhof-482:28.01:55.30:32.7
1158CattarinussiReneITA
1999Ruhpolding-471:52.00:52.70:59.3
956KruglovNikolayRUS
2006Hochfilzen-472:34.02:59.7-0:25.7
1459DostalRomanCZE
2003Hochfilzen-452:22.02:34.7-0:12.7
1256RostovtsevPavelRUS
1996Oslo -442:17.01:38.60:38.4
1760 Bailly-SalinsPatriceFRA
1996Oslo -432:25.02:08.80:16.2
1457HoferLukasITA
2015Khanty-Mansiysk-432:00.01:48.80:11.2
851TchepikovSergeiRUS
2002Oestersund-432:07.01:04.51:02.5
1052SamuelssonSebastianSWE
2018Nove Mesto-422:26.01:47.10:38.9

Biggest improvement overall (time)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
244BoeTarjeiNOR
2011Oslo -422:15.00:00.62:14.4
325GrossRiccoGER
2001Hochfilzen-222:38.00:26.32:11.7
642BjoerndalenOle EinarNOR
2000Lahti-362:41.00:33.72:07.3
335FourcadeMartinFRA
2011Oslo -321:57.00:07.31:49.7
2558MesotitschDanielAUT
2001Hochfilzen-334:00.02:23.91:36.1
110FischerSvenGER
2004Oslo -91:36.0 1:36.0
48RostovtsevPavelRUS
2001Hochfilzen-41:59.00:27.01:32.0
113MaigourovViktorRUS
2001Oberhof-121:32.0 1:32.0
1143RozhkovSergeiRUS
2004Oslo -322:30.00:58.61:31.4
948BjoerndalenOle EinarNOR
2007Khanty-Mansiysk-392:00.00:29.61:30.4

The biggest drops of all time: Vladimir Drachev (50 positions, Lillehammer 1996) and Jakov Fak (45 positions, Hochfilzen 2011).


Women

Martina Beck won from furthest back on the women’s side (bib 15), Magdalena Forsberg once overcame a deficit of 1:46 min (she started in second place in that race however). For podiums finishers, Florence Baverel-Robert and Olga Romasko hold the records for most positions and most time gained. In terms of overall improvement, Darya Domracheva has both records (48 positions, 2:30.9 time gain).

Win from furthest back (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start Deficit
115BeckMartinaGER
2000Oestersund-141:29.0
114BergerToraNOR
2013Antholz-Anterselva-131:08.0
111SimonJuliaFRA
2020Kontiolahti-100:57.0
110BeckMartinaGER
2003Khanty-Mansiysk (WCH)-90:58.0
110MakarainenKaisaFIN
2015Oestersund-90:52.0
110HenkelAndreaGER
2009Trondheim-90:43.0
19DomrachevaDaryaBLR
2014Sochi (Olympics)-80:32.0
18MedvedtsevaOlgaRUS
2002Soldier Hollow (Olympics)-71:03.0
18WilhelmKatiGER
2005Khanty-Mansiysk-71:03.0
18EckhoffTirilNOR
2020Kontiolahti-71:01.0

Win from furthest back (time deficit)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start Deficit
12ForsbergMagdalenaSWE
2001Oslo -11:46.0
115BeckMartinaGER
2000Oestersund-141:29.0
114BergerToraNOR
2013Antholz-Anterselva-131:08.0
17ForsbergMagdalenaSWE
2001Soldier Hollow-61:05.0
18MedvedtsevaOlgaRUS
2002Soldier Hollow (Olympics)-71:03.0
18WilhelmKatiGER
2005Khanty-Mansiysk-71:03.0
18EckhoffTirilNOR
2020Kontiolahti-71:01.0
110BeckMartinaGER
2003Khanty-Mansiysk (WCH)-90:58.0
111SimonJuliaFRA
2020Kontiolahti-100:57.0
15EkholmHelenaSWE
2009PyeongChang (WCH)-40:55.0

Podium from furthest back (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
332BaverelFlorenceFRA
2000Oslo-292:08.00:42.41:25.6
227DomrachevaDaryaBLR
2017Hochfilzen (WCH)-251:26.00:11.61:14.4
322SemerenkoVitaUKR
2018Oberhof-191:38.01:10.20:27.8
322BeckMartinaGER
2004Beitostolen-191:00.00:25.50:34.5
221ZubrilovaOlenaUKR
2003Oslo-191:00.00:03.60:56.4
321SolemdalSynnoeveNOR
2014Oberhof-181:55.01:11.70:43.3
220DomrachevaDaryaBLR
2014Kontiolahti-181:07.01:00.00:07.0
220WilhelmKatiGER
2005Oestersund-181:15.00:13.31:01.7
220WiererDorotheaITA
2015Oestersund-181:11.00:01.91:09.1
319BaillySandrineFRA
2004Lake Placid -161:26.00:51.00:35.0

Podium from furthest back (time deficit)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
313RomaskoOlgaRUS
1996Oslo-103:25.01:12.12:12.9
23KouklevaGalinaRUS
1996Oslo-12:35.00:34.12:00.9
12ForsbergMagdalenaSWE
2001Oslo-11:46.0 1:46.0
37BeckMartinaGER
2001Oslo-42:13.00:41.41:31.6
115BeckMartinaGER
2000Oestersund-141:29.0 1:29.0
332BaverelFlorenceFRA
2000Oslo-292:08.00:42.41:25.6
215BaillySandrineFRA
2005Khanty-Mansiysk-131:34.00:19.01:15.0
227DomrachevaDaryaBLR
2017Hochfilzen (WCH)-251:26.00:11.61:14.4
313ForsbergMagdalenaSWE
1999Oberhof-101:34.00:23.11:10.9
218GrubbenLindaNOR
2007Antholz-Anterselva (WCH)-161:17.00:07.11:09.9

Biggest improvement overall (position)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
553DomrachevaDaryaBLR
2009PyeongChang (WCH)-483:10.00:39.12:30.9
552HolubcovaKaterinaCZE
2003Hochfilzen-472:44.01:06.31:37.7
752BrunetMarie LaureFRA
2009PyeongChang (WCH)-453:09.00:54.92:14.1
1457TandrevoldIngrid LandmarkNOR
2020Antholz-Anterselva (WCH)-432:01.01:30.10:30.9
1759HoegbergElisabethSWE
2015Hochfilzen-421:55.01:12.20:42.8
1859SemerenkoValentinaUKR
2020Ruhpolding-412:25.02:03.10:21.9
1960TofalviEvaROU
2015Oestersund-412:21.02:19.30:01.7
1757LiuXianyingCHN
2004Oestersund-402:24.02:49.0-0:25.0
1959TakahashiRyokoJPN
2000Oberhof-403:44.05:04.4-1:20.4
645PreussFranziskaGER
2019Oberhof-391:49.00:54.70:54.3

Biggest improvement overall (time)

RankBibFamily NameGiven NameNationYearLocationRank Diff.Start DeficitBehind (Finish)Time Gain
553DomrachevaDaryaBLR
2009PyeongChang (WCH)-483:10.00:39.12:30.9
752BrunetMarie LaureFRA
2009PyeongChang (WCH)-453:09.00:54.92:14.1
313RomaskoOlgaRUS
1996Oslo -103:25.01:12.12:12.9
23KouklevaGalinaRUS
1996Oslo -12:35.00:34.12:00.9
1125BriandAnneFRA
1996Oslo -143:55.02:03.51:51.5
12ForsbergMagdalenaSWE
2001Oslo -11:46.0 1:46.0
552HolubcovaKaterinaCZE
2003Hochfilzen-472:44.01:06.31:37.7
610TalanovaNadejdaRUS
1996Oslo -43:10.01:32.91:37.1
912ParamyguinaSvetlanaBLR
1996Oslo -33:24.01:47.41:36.6
48NiogretCorinneFRA
1996Oslo -42:58.01:22.31:35.7

The biggest drops of all time: Franziska Hildebrand (47 positions, Nove Mesto 2015) and Svetlana Mironova (46 positions, Hochfilzen 2017).

Posted in Statistical analysis | Tagged pursuit

Favorites for the 2021 Biathlon World Championships

Posted on 2021-02-06 | by real biathlon | Leave a Comment on Favorites for the 2021 Biathlon World Championships

With the World Championships around the corner, it’s worth looking at the best-performing athletes after Christmas again. I think it’s fair to assume that the majority of medal winners will come from in-form athletes going into the championship, although history tells us there are a handful of surprises usually. Below, I listed the best biathletes (ranked by Overall Performance Scores) for the January races โ€“ full results for the entire field here: men & women.


Note: Only athletes with at least 3 races in January are included. The scores are standard scores (or z-scores), indicating how many standard deviations (SD) an athlete is back from the World Cup mean (negative values indicate performances better than the mean). The Total Performance Score is calculated by approximating the importance of skiing, hit rate and shooting pace using the method of least squares (for more details, see here and here), and then weighting each z-score value accordingly.


Men

World Cup leader Johannes Thingnes Bรธ tops the ranking unsurprisingly; he won 3 out of 6 races after Christmas and set the top ski time in 5 of them. However, his overall score is down from last season, because his non-team shooting percentage is 6.3% lower. Sturla Holm Lรฆgreid‘s hit rate also declined slightly in January, but it still stands at an incredible 92.9%, giving him 4 wins this season. Even though Lukas Hoferย failed to make a single podium so far, he has been very consistent; theย fourth-fastest skier overall and top 6 in all but one of the races in trimester 2.

Quentin Fillon Maillet‘s average race rank wouldn’t tell you (forgetting a penalty loop in Oberhof is to blame for that), but he has been best of the rest behind the Norwegians this season (4 podiums in total, including 2 in the last 2 races in Antholz). Tarjei Bรธ is currently at his best ski speed since 2010โ€“11 (third-fastest overall), but he is also the slowest shooter in the top 10. Arnd Peiffer‘s hit rate of 90.0% this winter is a tied career-best for him, Johannes Dale is the field’s second-fastest skier (both for the season and January-only).

The other two race winners, Alexander Loginov and Sebastian Samuelsson, come to Pokljuka with some question marks. Reigning sprint world champion Loginov only had one top 6 result all season, his win in Antholz, while Samuelsson’s ski form decline Dec. to Jan. is the worst of the men’s field. The other multiple podium finishers this winter are: ร‰milien Jacquelin, Martin Ponsiluoma and Fabien Claude (who also saw a big decline in January).

Top 50 Overall performance scores (z-Scores) | Non-Team events January 2021

NoFamily NameGiven NameNationRacesRank
(avg)
Points
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
NoFamily NameGiven NameNationRacesRank
(avg)
Points
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
1BoeJohannes ThingnesNOR
64.746.8-1.98-0.35-0.70-1.36
2LaegreidSturla HolmNOR
65.745.3-1.30-1.17-1.23-1.25
3HoferLukasITA
66.338.8-1.45-0.65-0.84-1.15
4Fillon MailletQuentinFRA
521.433.4-1.36-0.55-1.55-1.15
5BoeTarjeiNOR
67.740.8-1.47-0.86-0.23-1.14
6PeifferArndGER
614.529.8-1.24-1.06-0.62-1.11
7DaleJohannesNOR
610.734.2-1.60-0.45-0.14-1.09
8PonsiluomaMartinSWE
611.230.3-1.42-0.04-1.34-1.01
9DollBenediktGER
615.825.5-1.29-0.35-1.13-1.00
10LoginovAlexanderRUS
515.429.6-0.99-1.06-0.66-0.97
11JacquelinEmilienFRA
615.225.8-1.23-0.35-1.00-0.95
12FakJakovSLO
615.527.7-0.82-1.06-1.23-0.94
13SamuelssonSebastianSWE
619.223.0-0.96-0.86-0.51-0.87
14LesserErikGER
620.022.8-0.82-0.76-1.34-0.87
15WegerBenjaminSUI
615.527.2-0.75-1.17-0.69-0.86
16DesthieuxSimonFRA
615.825.3-1.07-0.35-1.00-0.85
17ChristiansenVetle SjaastadNOR
521.626.0-1.01-0.55-0.53-0.82
18BjoentegaardErlendNOR
414.327.3-0.80-1.06-0.28-0.82
19EderSimonAUT
619.024.0-0.45-1.37-1.29-0.82
20EliseevMatveyRUS
515.225.0-0.64-1.06-0.86-0.79
21YaliotnauRamanBLR
329.318.0-1.13-0.30-0.08-0.76
22PidruchnyiDmytroUKR
438.511.4-1.070.13-0.89-0.70
23WindischDominikITA
533.014.2-1.110.09-0.47-0.69
24HornPhilippGER
433.010.3-1.18-0.040.21-0.68
25SmolskiAntonBLR
432.58.8-0.76-0.55-0.53-0.67
26PrymaArtemUKR
432.810.0-0.68-0.55-0.84-0.66
27SeppalaTeroFIN
434.38.0-1.07-0.040.21-0.62
28LeitnerFelixAUT
625.716.5-0.82-0.550.28-0.61
29BocharnikovSergeyBLR
534.014.8-0.58-0.68-0.48-0.59
30ClaudeFabienFRA
630.518.3-0.920.26-0.82-0.56
31FinelloJeremySUI
535.09.4-1.060.34-0.20-0.55
32GuigonnatAntoninFRA
626.213.5-0.900.26-0.70-0.54
33GiacomelTommasoITA
443.52.5-0.700.30-1.60-0.52
34RastorgujevsAndrejsLAT
533.28.4-0.900.21-0.26-0.50
35NelinJesperSWE
340.05.8-1.170.161.18-0.50
36DohertySeanUSA
439.84.0-0.36-0.72-0.60-0.50
37LatypovEduardRUS
624.516.7-0.970.260.04-0.49
38ReesRomanGER
328.313.7-0.55-0.650.31-0.47
39KomatzDavidAUT
622.817.0-0.11-1.370.03-0.46
40GowChristianCAN
445.39.8-0.22-0.55-1.30-0.44
41DudchenkoAntonUKR
326.317.3-0.01-1.27-0.38-0.42
42GowScottCAN
448.50.8-0.16-0.38-1.42-0.38
43BormoliniThomasITA
442.09.5-0.52-0.210.01-0.37
44DombrovskiKarolLTU
447.84.5-0.05-0.890.15-0.27
45NordgrenLeifUSA
446.30.50.14-1.06-0.07-0.23
46StreltsovKirillRUS
443.36.3-0.26-0.21-0.06-0.22
47StroliaVytautasLTU
442.08.8-0.410.13-0.01-0.21
48StvrteckyJakubCZE
458.81.5-0.860.641.07-0.20
49FemlingPeppeSWE
537.45.00.03-0.42-0.67-0.19
50ClaudeEmilienFRA
454.82.5-0.10-0.38-0.03-0.17


Women

Lisa Theresa Hauser won most World Cup points in January, something few would have predicted before Christmas. Being both accurate (93.0%) and fast (26.2s) makes her the most efficient shot on the women’s side at the moment. Combined with her new-found top10 ski speed, she is a threat in all events. Tiril Eckhoff followed her trajectory from last season almost exactly: four incredible World Cups in a row, followed by a considerable dip in form. Eckhoff has most wins (6) and podiums (8), but will her disappointing showing in Antholz last year be on her mind?

World Cup leader Marte Olsbu Rรธiseland has made only one podium in trimester 2, however, she remains virtually tied with Eckhoff as the field’s top skier. Hanna ร–berg managed two wins and the second-most podiums this winter (7). Julia Simon, who alongside ร–berg is the fastest shooter, won two of the last 4 races, still, she is arguably the least consistent (last four positions: 59-1-62-1). Monika Hojnisz-Starฤ™ga comes 5th, but she only did 3 races (2 of them sprints), which inflates her ski speed for this ranking. Nonetheless, she is much improved, winning the European Championship Individual recently.

Dorothea Wierer‘s ski speed improved after Christmas (still off her pace from the last two seasons); in contrast, Franziska PreuรŸ is skiing faster than ever. Anaรฏs Chevalier-Bouchet‘s statistics stand out in particular: her hit rate is roughly 6% lower than in any of her previous five seasons, at the same time she currently skies roughly 1.5% faster than ever before. The two other multiple podium finishers, Dzinara Alimbekava and Elvira ร–berg, have both been struggling in January (no top 6 result).

Top 50 Overall performance scores (z-Scores) | Non-Team events January 2021

NoFamily NameGiven NameNationRacesRank
(avg)
Points
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
NoFamily NameGiven NameNationRacesRank
(avg)
Points
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
1HauserLisa TheresaAUT
64.246.8-1.09-1.26-1.62-1.20
2EckhoffTirilNOR
66.245.2-1.48-0.51-1.24-1.17
3RoeiselandMarte OlsbuNOR
610.035.0-1.44-0.51-0.82-1.10
4OebergHannaSWE
68.539.7-0.93-0.79-2.00-1.02
5Hojnisz-StaregaMonikaPOL
314.727.3-1.14-0.98-0.47-1.01
6WiererDorotheaITA
611.234.2-0.88-0.89-1.83-1.00
7MironovaSvetlanaRUS
610.732.2-1.05-0.60-1.48-0.97
8PreussFranziskaGER
612.832.2-1.00-0.70-1.28-0.95
9DavidovaMarketaCZE
614.227.8-1.22-0.51-0.38-0.91
10DzhimaYuliiaUKR
512.032.0-0.82-1.10-0.57-0.87
11SimonJuliaFRA
623.731.5-1.280.52-1.93-0.84
12Braisaz-BouchetJustineFRA
615.027.3-1.16-0.32-0.47-0.83
13PavlovaEvgeniyaRUS
519.423.2-0.76-0.51-0.97-0.71
14HerrmannDeniseGER
620.020.2-1.360.52-0.37-0.70
15KaishevaUlianaRUS
618.322.5-0.54-0.79-1.22-0.69
16PerssonLinnSWE
618.822.2-0.75-0.890.16-0.68
17HaeckiLenaSUI
432.09.0-0.58-0.51-1.45-0.66
18BescondAnaisFRA
616.024.8-0.83-0.600.10-0.65
19AlimbekavaDzinaraBLR
619.320.3-0.88-0.32-0.26-0.64
20HettichJaninaGER
621.520.7-0.52-1.07-0.11-0.63
21GasparinSelinaSUI
434.010.5-1.10-0.040.30-0.63
22HinzVanessaGER
523.018.0-0.57-0.86-0.33-0.63
23BendikaBaibaLAT
436.08.5-1.200.43-0.34-0.63
24Chevalier-BouchetAnaisFRA
611.531.0-0.88-0.14-0.45-0.61
25KuklinaLarisaRUS
522.418.6-0.27-0.98-1.29-0.60
26SolaHannaBLR
435.56.3-1.240.89-0.91-0.58
27OebergElviraSWE
623.818.2-0.61-0.42-0.83-0.58
28KruchinkinaElenaBLR
527.419.0-1.210.310.80-0.53
29LienIdaNOR
438.08.5-0.990.110.45-0.50
30CadurischIreneSUI
441.34.8-0.25-0.51-1.65-0.49
31EderMariFIN
342.02.8-1.06-0.041.27-0.48
32LunderEmmaCAN
533.011.5-0.23-0.63-1.36-0.48
33ColomboCarolineFRA
431.810.0-0.46-0.51-0.28-0.45
34KnottenKaroline OffigstadNOR
628.212.30.18-1.45-1.05-0.44
35VittozziLisaITA
532.417.0-0.710.31-0.84-0.43
36ZdoucDunjaAUT
622.717.3-0.15-0.98-0.26-0.41
37SchwaigerJuliaAUT
434.011.0-0.60-0.200.15-0.39
38PidhrushnaOlenaUKR
442.56.8-0.50-0.510.53-0.38
39TandrevoldIngrid LandmarkNOR
535.011.0-0.730.090.23-0.38
40BankesMeganCAN
351.75.3-0.17-0.28-1.56-0.37
41AvvakumovaEkaterinaKOR
531.011.4-0.28-0.63-0.05-0.36
42ZukKamilaPOL
341.30.7-0.77-0.041.08-0.34
43InnerhoferKatharinaAUT
357.00.7-1.130.890.66-0.33
44TalihaermJohannaEST
445.53.5-0.30-0.981.25-0.31
45GasparinElisaSUI
442.34.0-0.430.11-0.43-0.27
46KazakevichIrinaRUS
457.51.0-0.820.740.07-0.26
47ChevalierChloeFRA
445.57.3-0.750.270.93-0.25
48JislovaJessicaCZE
353.00.3-0.27-0.510.63-0.23
49GasparinAitaSUI
442.85.8-0.01-0.36-0.97-0.23
50BrorssonMonaSWE
538.015.00.18-0.75-0.77-0.20

Posted in Statistical analysis | Tagged World Championships

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