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Biathlon World Cup wins by age | Men

Posted on 2021-12-16 | by real biathlon | Leave a Comment on Biathlon World Cup wins by age | Men

Men’s individual/non-team wins in World Cup level races by age. Biathlon World Cup, World Championships, Olympics – Women (1958 – 2021).

Posted in Biathlon Media, Long-term trends | Tagged Data, data visualization, results

Biathlon World Cup wins by age | Women

Posted on 2021-12-09 | by real biathlon | Leave a Comment on Biathlon World Cup wins by age | Women

Women’s individual/non-team wins in World Cup level races by age (in y – years and d – days).

Biathlon World Cup, World Championships, Olympics – Women (1984- 2021).

Posted in Biathlon Media, Long-term trends, Statistical analysis | Tagged Data, data visualization

Season-to-season comparison: Shooting Rank

Posted on 2021-12-05 | by real biathlon | Leave a Comment on Season-to-season comparison: Shooting Rank

Changes in Shooting Rank (Range Time + Penalty Time rank). The tables show improvement and decline in average shooting ranks (per race) for this season’s four non-team races in ร–stersund compared last season’s data.

Only athletes who appeared in at least half the races of this season and in half the races of last season are included. You can do your own season-to-season comparisons for all stats in the Patreon bonus area.

Men

2021โ€“22 Shooting Ranks compared to 2020โ€“21 | Non-Team events

NoFamily NameGiven NameNationRacesHit RateRange TimeShooting TimeShooting
Rank (avg)
Change
NoFamily NameGiven NameNationRacesHit RateRange TimeShooting TimeShooting
Rank (avg)
Change
1SchommerPaulUSA
493.3351.830.621.3-48.5
2KuehnJohannesGER
286.6750.931.328.5-32.6
3SeppalaTeroFIN
392.5047.427.715.7-31.0
4TrsanRokSLO
296.6750.128.09.0-19.7
5LatypovEduardRUS
491.6750.830.418.8-16.2
6KobonokiTsukasaJPN
491.6752.431.331.8-15.6
7GowScottCAN
490.0045.925.118.5-15.5
8StvrteckyJakubCZE
476.6754.233.655.3-13.5
9PidruchnyiDmytroUKR
486.6748.726.626.5-11.9
10ClaudeFlorentBEL
491.6752.931.530.0-9.6
11BrownJakeUSA
485.0054.833.752.8-9.1
12BormoliniThomasITA
485.0048.928.530.0-8.3
13DudchenkoAntonUKR
488.3350.230.037.0-8.3
14StroliaVytautasLTU
485.0054.233.348.0-8.2
15WegerBenjaminSUI
491.6752.531.321.8-6.5
16ChristiansenVetle SjaastadNOR
491.6751.431.221.8-6.2
17BoeJohannes ThingnesNOR
490.0051.131.221.8-4.9
18EderSimonAUT
495.0047.526.710.8+0.3
19GowChristianCAN
390.0047.426.628.7+0.9
20IlievVladimirBUL
475.0053.132.054.0+0.9
21DovzanMihaSLO
485.0045.825.626.8+1.3
22HoferLukasITA
486.6752.131.229.5+2.2
23ZahknaReneEST
390.0053.131.340.0+3.7
24DollBenediktGER
485.0051.030.738.8+4.6
25DesthieuxSimonFRA
485.0049.330.131.0+5.3
26NelinJesperSWE
480.0052.630.159.3+6.2
27LaegreidSturla HolmNOR
397.5048.928.517.7+7.8
28LeitnerFelixAUT
481.6755.429.746.0+8.1
29BoeTarjeiNOR
485.0051.630.236.0+8.3
30ClaudeFabienFRA
480.0047.828.246.8+8.4
31EliseevMatveyRUS
293.3351.530.125.5+8.4
32LangerThierryBEL
478.3351.329.860.8+10.4
33ReesRomanGER
488.3351.330.441.8+12.5
34SmolskiAntonBLR
480.0050.329.457.0+14.0
35KrcmarMichalCZE
488.3351.530.838.5+15.1
36BocharnikovSergeyBLR
480.0048.828.058.0+15.2
37GuigonnatAntoninFRA
483.3351.231.148.3+15.7
38SamuelssonSebastianSWE
481.6751.231.441.3+17.7
39LoginovAlexanderRUS
480.0050.429.845.0+17.9
40JacquelinEmilienFRA
481.6748.228.739.5+17.9
41WindischDominikITA
473.3348.030.370.0+17.9
42VarabeiMaksimBLR
476.6755.836.473.3+20.0
43HarjulaTuomasFIN
380.0048.526.156.0+20.6
44Fillon MailletQuentinFRA
481.6749.528.845.8+24.3
45FakJakovSLO
387.5050.628.641.0+25.5
46MukhinAlexandrKAZ
375.0053.728.782.7+25.7
47LesserErikGER
382.5048.128.352.7+28.8
48DohertySeanUSA
475.0050.931.368.5+29.7
49DombrovskiKarolLTU
380.0054.232.373.3+29.8
50GuzikGrzegorzPOL
370.0054.632.094.0+30.3
51BionazDidierITA
375.0055.634.280.3+31.3
52DaleJohannesNOR
481.6754.933.767.5+33.0
53FemlingPeppeSWE
377.5048.126.669.7+38.0
54KomatzDavidAUT
382.5054.632.968.3+41.7
55SinapovAntonBUL
362.5054.131.2103.3+42.3
56SimaMichalSVK
372.5051.929.188.0+45.6
57PonsiluomaMartinSWE
466.6748.428.281.0+45.8
58GaranichevEvgeniyRUS
273.3349.728.087.0+61.5

Women

2021โ€“22 Shooting Ranks compared to 2020โ€“21 | Non-Team events

NoFamily NameGiven NameNationRacesHit RateRange TimeShooting TimeShooting
Rank (avg)
Change
NoFamily NameGiven NameNationRacesHit RateRange TimeShooting TimeShooting
Rank (avg)
Change
1LescinskaiteGabrieleLTU
495.0057.535.019.0-33.4
2JislovaJessicaCZE
490.0052.629.728.5-29.1
3BeaudrySarahCAN
491.6752.329.420.5-26.5
4IrwinDeedraUSA
485.0055.532.045.5-22.8
5OjaReginaEST
286.6750.527.739.0-14.5
6SolaHannaBLR
483.3348.727.734.3-13.0
7TomingasTuuliEST
485.0053.730.635.0-12.8
8DavidovaMarketaCZE
491.6754.232.924.5-12.2
9LieLotteBEL
493.3351.728.716.3-11.3
10HauserLisa TheresaAUT
495.0046.925.113.0-10.8
11AlimbekavaDzinaraBLR
491.6752.630.416.8-10.0
12NigmatullinaUlianaRUS
495.0053.733.618.8-9.7
13HaeckiLenaSUI
488.3348.326.728.8-7.4
14PuskarcikovaEvaCZE
488.3352.830.730.8-7.0
15EganClareUSA
486.6755.733.335.5-6.1
16Chevalier-BouchetAnaisFRA
488.3349.427.528.0-3.3
17GasparinSelinaSUI
481.6754.032.751.5-2.1
18MagnussonAnnaSWE
480.0054.531.549.5-1.9
19LunderEmmaCAN
488.3346.524.923.8-1.2
20KnottenKaroline OffigstadNOR
490.0048.927.616.3-1.1
21ZdoucDunjaAUT
491.6752.729.519.0-0.9
22RoeiselandMarte OlsbuNOR
490.0050.128.924.0-0.7
23HerrmannDeniseGER
490.0055.334.335.0+0.7
24VittozziLisaITA
481.6745.923.636.8+1.2
25BrorssonMonaSWE
486.6751.430.332.0+1.9
26KruchinkinaElenaBLR
481.6755.432.951.5+2.0
27SchwaigerJuliaAUT
486.6757.233.639.8+2.1
28BescondAnaisFRA
490.0054.632.736.5+2.7
29BilosiukOlenaUKR
290.0054.732.445.5+3.0
30BendikaBaibaLAT
377.5054.130.756.7+5.3
31TodorovaMilenaBUL
380.0053.129.655.7+5.4
32EderMariFIN
481.671:00.739.470.3+6.0
33HettichJaninaGER
488.3353.330.430.5+6.5
34DzhimaYuliiaUKR
486.6752.231.737.5+7.6
35MaedaSariJPN
471.6753.932.779.0+8.6
36LeshchankaIrynaBLR
483.3356.634.851.5+8.6
37PreussFranziskaGER
486.6750.027.729.8+9.2
38AvvakumovaEkaterinaKOR
385.0055.330.954.7+9.7
39KocerginaNataljaLTU
380.001:00.237.374.7+10.4
40TachizakiFuyukoJPN
385.0057.333.261.7+11.7
41LienIdaNOR
475.0057.635.061.3+12.1
42ChevalierChloeFRA
476.6755.532.462.5+13.3
43PerssonLinnSWE
481.6750.929.242.0+13.5
44Braisaz-BouchetJustineFRA
478.3352.730.957.0+14.6
45MironovaSvetlanaRUS
481.6752.030.453.3+15.5
46SemerenkoValentinaUKR
483.3352.430.248.0+15.5
47CharvatovaLucieCZE
372.5051.529.684.0+16.6
48GasparinAitaSUI
485.0051.128.949.3+16.7
49TandrevoldIngrid LandmarkNOR
486.6756.433.952.3+19.0
50ZukKamilaPOL
470.0055.833.977.7+19.9
51KuklinaLarisaRUS
481.6751.929.944.5+20.0
52OebergHannaSWE
480.0047.525.443.5+22.5
53HinzVanessaGER
483.3354.231.151.5+24.2
54OebergElviraSWE
478.3350.029.156.0+25.0
55MinkkinenSuviFIN
382.5055.232.062.0+26.8
56Hojnisz-StaregaMonikaPOL
382.5055.633.559.7+28.0
57TalihaermJohannaEST
375.0058.935.378.3+29.0
58WiererDorotheaITA
485.0054.232.745.0+29.1
59GasparinElisaSUI
380.0054.734.471.3+30.9
60KazakevichIrinaRUS
466.6755.434.182.0+31.8
61FialkovaIvonaSVK
370.0056.034.191.0+34.2
62DunkleeSusanUSA
275.0054.132.185.0+34.7
63KlemencicPolonaSLO
372.5055.231.794.0+34.9
64ReidJoanneUSA
367.5059.837.698.7+38.9
65SimonJuliaFRA
471.6748.526.877.8+39.3
66EckhoffTirilNOR
476.6750.630.165.3+40.8
Posted in Statistical analysis

Improvement season-to-season

Posted on 2021-11-28 | by real biathlon | Leave a Comment on Improvement season-to-season

Changes in the Total Performance Scores of regular World Cup athletes. The tables show improvement and decline in z-scores from this weekend’s Season Opening in ร–stersund compared to trimester 1 of last season (roughly December 2020, only athletes with at least 3 races in last winter’s trimester 1). You can do your own season-to-season comparisons for all stats in the Patreon bonus area.


Note: 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

2021โ€“22 z-Scores compared to Trimester 1 of 2020โ€“21 | Non-Team events

NoFamily NameGiven NameNationRacesSki Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
Change
NoFamily NameGiven NameNationRacesSki Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
Change
1TodevBlagoyBUL
20.84-0.53-0.940.23-1.06
2GowScottCAN
2-0.25-1.56-1.74-0.81-1.00
3DudchenkoAntonUKR
2-0.76-0.53-1.04-0.73-0.72
4BrownJakeUSA
2-1.05-0.531.02-0.65-0.54
5SchommerPaulUSA
2-0.11-1.21-0.15-0.44-0.50
6DesthieuxSimonFRA
2-1.53-1.21-0.72-1.34-0.49
7StvrteckyJakubCZE
2-0.78-0.180.95-0.40-0.44
8KobonokiTsukasaJPN
20.24-1.210.33-0.17-0.41
9DovzanMihaSLO
20.17-1.21-1.40-0.42-0.40
10ZahknaReneEST
20.45-0.870.430.07-0.37
11StroliaVytautasLTU
2-0.90-0.531.30-0.53-0.36
12TsymbalBogdanUKR
20.11-0.53-1.50-0.27-0.31
13StefanssonMalteSWE
2-0.211.190.860.32-0.29
14ClaudeFabienFRA
2-1.73-0.18-1.50-1.26-0.28
15GowChristianCAN
2-0.47-1.21-1.33-0.79-0.27
16LeitnerFelixAUT
2-1.08-0.18-0.55-0.76-0.27
17PidruchnyiDmytroUKR
2-0.54-0.87-0.82-0.67-0.24
18StalderSebastianSUI
2-0.04-0.18-0.97-0.19-0.22
19MagazeevPavelMDA
20.24-0.53-1.34-0.17-0.21
20LatypovEduardRUS
2-1.00-1.21-0.01-0.95-0.15
21SiimerKristoEST
21.030.500.310.79-0.10
22DombrovskiKarolLTU
2-0.35-0.180.21-0.23-0.09
23ClaudeFlorentBEL
2-0.22-0.530.28-0.25-0.08
24NelinJesperSWE
2-1.32-0.180.52-0.77-0.04
25FemlingPeppeSWE
2-0.470.16-1.29-0.38-0.02
26SmolskiAntonBLR
2-1.28-0.180.23-0.78-0.02
27LazouskiDzmitryBLR
2-0.20-0.181.04-0.05+0.01
28HornPhilippGER
2-0.860.16-0.90-0.57+0.05
29ChristiansenVetle SjaastadNOR
2-1.50-0.870.64-1.06+0.10
30BoeTarjeiNOR
2-1.38-0.87-0.59-1.14+0.10
31BormoliniThomasITA
2-0.31-0.53-0.93-0.45+0.10
32BauerKlemenSLO
2-0.040.50-1.09-0.01+0.11
33SzczurekLukaszPOL
21.131.190.551.08+0.11
34GuigonnatAntoninFRA
2-1.210.16-0.39-0.71+0.11
35HiidensaloOlliFIN
2-0.210.160.800.02+0.12
36BanysLinasLTU
20.950.50-0.410.66+0.12
37EderSimonAUT
2-0.41-1.21-1.55-0.78+0.15
38SlotinsRobertsLAT
20.420.851.490.67+0.15
39SamuelssonSebastianSWE
2-2.000.160.44-1.08+0.15
40ReesRomanGER
2-0.900.16-0.15-0.50+0.18
41MukhinAlexandrKAZ
20.280.850.450.46+0.18
42VarabeiMaksimBLR
2-0.951.191.39-0.05+0.20
43BoeJohannes ThingnesNOR
2-1.61-1.210.02-1.30+0.20
44IlievVladimirBUL
2-0.460.500.38-0.08+0.22
45JacquelinEmilienFRA
2-1.990.50-0.63-1.10+0.23
46OzakiKosukeJPN
2-0.180.851.970.38+0.26
47BalogaMatejSVK
21.350.50-0.140.92+0.27
48TrsanRokSLO
21.20-1.56-0.680.18+0.27
49WindischDominikITA
2-0.421.19-1.09-0.03+0.28
50LoginovAlexanderRUS
2-1.210.16-0.48-0.73+0.29
51LangerThierryBEL
2-0.100.50-0.080.08+0.30
52RasticDamirSRB
20.660.503.220.92+0.33
53BocharnikovSergeyBLR
2-0.820.85-0.79-0.33+0.34
54LaegreidSturla HolmNOR
2-0.71-1.56-0.91-0.98+0.34
55Fillon MailletQuentinFRA
2-1.36-0.18-0.71-0.94+0.39
56DollBenediktGER
2-0.98-0.18-0.28-0.67+0.39
57KrcmarMichalCZE
2-0.740.160.08-0.38+0.40
58FakJakovSLO
2-0.37-1.21-0.85-0.67+0.42
59HarjulaTuomasFIN
20.620.16-1.650.21+0.43
60YaliotnauRamanBLR
2-0.511.531.180.28+0.43
61WegerBenjaminSUI
2-0.37-0.870.17-0.45+0.43
62KomatzDavidAUT
20.16-0.530.540.01+0.45
63GuzikGrzegorzPOL
20.141.190.710.51+0.46
64BionazDidierITA
20.11-0.180.610.09+0.47
65DohertySeanUSA
20.020.85-0.240.23+0.48
66SimaMichalSVK
20.550.850.080.58+0.54
67DaleJohannesNOR
2-1.240.160.88-0.58+0.64
68TachizakiMikitoJPN
21.03-0.870.680.44+0.65
69EberhardJulianAUT
20.060.16-0.270.05+0.72
70SinapovAntonBUL
20.421.530.760.78+0.72
71EliseevMatveyRUS
20.71-1.21-0.260.04+0.85
72VaclavikAdamCZE
20.031.881.190.70+0.88
73PonsiluomaMartinSWE
2-1.532.56-1.12-0.29+0.91
74GerdzhikovDimitarBUL
20.452.560.151.03+0.99
75HoferLukasITA
20.14-0.530.930.04+1.00
76GaranichevEvgeniyRUS
20.590.85-0.800.50+1.21

Women

2021โ€“22 z-Scores compared to Trimester 1 of 2020โ€“21 | Non-Team events

NoFamily NameGiven NameNationRacesSki Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
Change
NoFamily NameGiven NameNationRacesSki Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
Change
1BendikaBaibaLAT
2-0.74-0.87-0.34-0.73-0.83
2LieLotteBEL
2-0.31-1.28-0.67-0.63-0.61
3SolaHannaBLR
2-1.29-0.05-1.47-0.95-0.55
4NigmatullinaUlianaRUS
2-0.60-1.68-0.33-0.88-0.43
5MagnussonAnnaSWE
2-0.72-0.46-0.13-0.57-0.37
6DavidovaMarketaCZE
2-1.24-1.68-0.15-1.24-0.37
7KliminaDaryaKAZ
20.16-0.052.040.33-0.35
8JislovaJessicaCZE
2-0.37-0.46-0.51-0.41-0.30
9FialkovaIvonaSVK
2-0.481.180.350.10-0.25
10AlimbekavaDzinaraBLR
2-1.46-1.28-0.44-1.29-0.23
11WeidelAnnaGER
2-0.09-2.09-0.74-0.75-0.23
12AvvakumovaEkaterinaKOR
20.27-0.46-0.060.02-0.22
13LescinskaiteGabrieleLTU
20.88-1.680.760.12-0.21
14CharvatovaLucieCZE
2-0.880.77-1.04-0.42-0.19
15BrorssonMonaSWE
2-1.09-0.46-0.84-0.88-0.18
16BescondAnaisFRA
2-1.32-0.05-0.29-0.83-0.17
17PuskarcikovaEvaCZE
2-0.44-0.46-0.11-0.40-0.16
18VittozziLisaITA
2-0.920.36-1.99-0.68-0.15
19EderMariFIN
2-1.05-0.051.45-0.46-0.14
20HauserLisa TheresaAUT
2-0.95-0.87-1.97-1.05-0.14
21KondratyevaAnastassiyaKAZ
21.80-0.873.001.17-0.13
22Chevalier-BouchetAnaisFRA
2-1.21-0.05-1.16-0.87-0.10
23LienIdaNOR
2-0.92-0.051.01-0.43-0.07
24IrwinDeedraUSA
20.300.360.190.31-0.05
25Braisaz-BouchetJustineFRA
2-1.650.36-0.40-0.91-0.05
26TodorovaMilenaBUL
2-0.650.77-0.26-0.19-0.03
27KalkenbergEmilie AagheimNOR
2-0.25-0.05-0.71-0.25-0.01
28OebergElviraSWE
2-2.150.77-0.91-1.15+0.00
29DzhimaYuliiaUKR
2-0.74-0.05-0.23-0.48+0.03
30RoeiselandMarte OlsbuNOR
2-1.63-0.46-1.32-1.25+0.05
31HerrmannDeniseGER
2-1.23-0.870.41-0.93+0.06
32PreussFranziskaGER
2-1.51-0.05-0.83-1.00+0.06
33KruchinkinaElenaBLR
2-0.35-0.05-0.35-0.26+0.07
34MironovaSvetlanaRUS
2-0.820.36-0.44-0.43+0.11
35KlemencicPolonaSLO
20.021.180.130.37+0.11
36TachizakiFuyukoJPN
20.06-0.870.93-0.11+0.12
37ChevalierChloeFRA
2-1.021.18-0.30-0.29+0.12
38LunderEmmaCAN
2-0.04-1.28-2.13-0.65+0.16
39EganClareUSA
2-0.51-0.460.51-0.37+0.17
40TomingasTuuliEST
2-0.31-0.46-0.01-0.32+0.18
41KuklinaLarisaRUS
2-0.58-0.05-0.61-0.43+0.19
42GasparinSelinaSUI
2-0.20-0.05-0.59-0.20+0.20
43PerssonLinnSWE
2-1.210.77-0.99-0.61+0.21
44HinzVanessaGER
2-0.31-0.46-0.13-0.33+0.21
45KocerginaNataljaLTU
20.410.361.160.49+0.24
46HettichJaninaGER
2-0.51-0.05-0.61-0.39+0.25
47LehtlaKadriEST
21.76-1.28-0.410.62+0.32
48TandrevoldIngrid LandmarkNOR
2-1.19-0.050.46-0.66+0.33
49EckhoffTirilNOR
2-1.631.18-0.82-0.71+0.34
50OebergHannaSWE
2-1.670.77-1.40-0.93+0.34
51Hojnisz-StaregaMonikaPOL
2-0.330.36-0.20-0.11+0.35
52KadevaDanielaBUL
20.610.77-0.060.58+0.38
53JankaErikaFIN
21.500.36-0.190.97+0.38
54BeaudrySarahCAN
21.26-1.28-0.900.27+0.41
55HaeckiLenaSUI
2-0.230.36-1.25-0.18+0.41
56KnottenKaroline OffigstadNOR
20.23-1.68-1.25-0.50+0.42
57MaedaSariJPN
2-1.013.23-0.570.27+0.42
58ZdoucDunjaAUT
20.51-1.28-0.40-0.11+0.42
59GasparinElisaSUI
2-0.120.36-0.120.02+0.49
60GasparinAitaSUI
20.040.36-0.800.03+0.49
61SchwaigerJuliaAUT
20.07-0.460.32-0.05+0.49
62ZukKamilaPOL
2-0.331.590.750.36+0.58
63SimonJuliaFRA
2-1.121.59-1.38-0.36+0.58
64WiererDorotheaITA
2-1.16-0.051.65-0.50+0.59
65MinkkinenSuviFIN
20.51-0.050.550.36+0.60
66HorvatovaHenrietaSVK
22.24-0.46-0.111.18+0.61
67RiederChristinaAUT
20.61-0.460.310.27+0.61
68SemerenkoValentinaUKR
20.14-0.05-0.86-0.03+0.62
69BekhEkaterinaUKR
20.391.59-0.950.58+0.66
70LeshchankaIrynaBLR
2-0.110.360.560.11+0.79
71ReidJoanneUSA
2-0.151.591.370.53+0.81
72TalihaermJohannaEST
20.881.181.121.00+0.83
73HachisukaAsukaJPN
21.711.591.891.70+1.08
74SabuleAnnijaLAT
22.910.77-0.011.94+1.20
75KazakevichIrinaRUS
2-0.693.640.530.71+1.31
Posted in Long-term trends, Statistical analysis | Tagged 2021โ€“22 season, shooting, skiing

New feature: Complete IBU Cup & Junior level data

Posted on 2021-09-29 | by real biathlon | Leave a Comment on New feature: Complete IBU Cup & Junior level data

The website already offered data for single races of below World Cup level events (IBU Cups, European Championships, IBU Junior Cups, Youth/Junior World Championships). Now you can also search for aggregated shooting and skiing data of IBU Cup seasons or junior level seasons, as well as updated athlete data, which includes all lower level IBU events.

The athletes, teams, races and seasons pages have been updated with a “Level” selection (sidebar) that allows you to switch between categories (competition levels: World Cup level, IBU Cup level, Junior level). For example: junior level races of last season.

The real biathlon database now includes the same seasonal data for IBU Cup seasons and junior seasons as it’s already available for all World Cup seasons. Below I listed the men’s performance scores for the 2020โ€“21 IBU Cup. Interestingly, the scores for top IBU Cup athletes seem to be much closer to the mean (roughly one standard deviation better) than your average World Cup winner (-1.2 to -1.4) at the top international level.

Top overall performance scores | 2020โ€“21 IBU Cup Men

NoFamily NameGiven NameNationRacesRank
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
NoFamily NameGiven NameNationRacesRank
(avg)
Ski Speed
Score
Hit Rate
Score
Range Time
Score
Total
Performance
Score
1BakkenSivert GuttormNOR
159.5-0.84-1.22-1.57-1.04
2KhaliliSaid KarimullaRUS
66.3-0.84-1.66-0.36-1.02
3CappellariDanieleITA
1521.2-0.44-1.73-1.85-0.99
4AndersenFilip FjeldNOR
158.7-1.00-0.93-0.87-0.96
5AndersenAleksander FjeldNOR
1510.5-0.89-0.97-1.24-0.95
6StroemsheimEndreNOR
1212.2-0.92-0.69-1.50-0.93
7NawrathPhilippGER
1510.7-1.07-0.76-0.32-0.89
8TsymbalBogdanUKR
720.1-0.79-0.98-0.94-0.86
9StrelowJustusGER
1520.6-0.65-1.22-0.98-0.85
10PorshnevNikitaRUS
1418.4-0.62-1.44-0.52-0.84

The new data also allows you to compare athletes at different competition levels. Below you can see a comparison of junior level race results for Dzinara Alimbekava and Ingrid Landmark Tandrevold. Even though Tandrevold was by far the better junior (winning 5 individual youth/junior world championship medals), Alimbekava took last season’s first ever Under-25 score (blue bib), beating Tandrevold by 27 points.

Other useful additions include tables for Youth/Junior World Championships medals for all athletes, the possibility to compare season data for athletes at different levels (who is shooting better/worse at World Cup level?) and complete results lists (particularly useful for athletes that often change between World Cup and lower levels),

Posted in Website updates | Tagged Data

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