PCM.daily banner
29-09-2024 18:35
PCM.daily
Users Online
· Guests Online: 23

· Members Online: 0

· Total Members: 161,118
· Newest Member: emeric7444
View Thread
PCM.daily » Pro Cycling Manager 2006-2020 » Pro Cycling Manager 2014
 Print Thread
calculated stats based on FINAL results
TankNL
Wild Dog wrote:
I think it's a question of changing the value for each race category (WT, .hc, .1 etc.) so the difference is bigger. That way the Tour for example will count even more and riders such as Sagan and Valverde will not be the best in sprints and mountains respectively.


That is implemented;
If you look in the sheet at the points table, you will find that

top 5 in 1 day race will get;
1.WT11.WT21.HC1.1
128022014080
21701328448
31451127240
4125966236
5112865432


top 5 stages in tour of value get;
GT1sGT2s2.WT1s2.WT2s2.HCs2.1s
1408046352820
844828211612
724024181410
62362015128
54321813107


Of course the points are not handed more then just top 5, but to compare.

So winning a stage in the tour is the same as winning a 1-day race of 1.HC category.

@Paul23; you are right, being top 2 to 10 every sprint in the Tour de France doesn't mean that you are better than Kittel who finish first a number of times... but I would like to think that when you're playing PCM with a number of sprinters that have the possibility to win, than it would be OK that Sagan is 1 of them. but as stated before;
Of course I can adjust this while copying and pasting it into a database. Give Kittel 84, Cavendish 83 and the rest 82...


Mind you I'm not defending my algorithm, I know it is far from finished and has a number of improvements and enhancements that could be made. But I would like to base them on more then just a couple of individual results that could be better.

I'm currently working on the algorithm that for the fighter stat, but still struggling on how to proceed. Will post some results later on to get some feedback.
 
TankNL
Ok,

also tried to calculate the fighter stat... this is not something I can calculate based on the number of hours spend in a breakaway... (if anybody has such a database or a link to it, than feel free to share Smile )

But the result is somewhat satisfying, see for yourself. Anybody missing?

Spoiler
nrCyclistNameFLAMOUHILTTPRLCOBSPRACCDHLFTRSTARESRECPOP
1VOECKLER Thomas7374776152696472778073767581
2VAN AVERMAET Greg7959805151817677787980797484
3COSTA Rui Alberto Faria7479787674537574827977818185
4VISCONTI Giovanni7275765755547473767873757580
5ROLLAND Pierre7277757051506272767872757881
6DE MARCHI Alessandro6475745351505671757871736678
7CHAVANEL Sylvain7675767981777674767775777783
8TSCHOPP Johann7172695153505165747762747579
9CARUSO Damiano7275756152507072767771757580
10PORTE Richie7279757778536572797773787983
11GALLOPIN Tony7474786074747574777776777582
12EDET Nicolas6371665150505368747760737378
13PERAUD Jean-Christophe7379757777516773797774798284
14CUNEGO Damiano7274776062516872757672767680
15GILBERT Philippe7374836678597577757677787483
16HESJEDAL Ryder7176766974506172767674767680
17NORDHAUG Lars Petter7265765151505972757673757479
18TERPSTRA Niki8064757374837574757679777683
19GESINK Robert7376776673506472787674777781
20MARTIN Tony7775768477597573777671787784
21CLARKE Simon7174755269546972757672747479
22TXURRUKA ANSOLA Amets6974735351505271747669747579
23GAVAZZI Francesco7266765163537472757671757480
24VRECER Robert5353535050505053617650555556
25BOASSON HAGEN Edvald7561766075777776757675767582
26MONTAGUTI Matteo7467755353506571747671747179
27BAKELANTS Jan7375775774617473787674777782
28CATALDO Dario7175747673505971757672747479
29FRANK Mathias7376757576506271787672777882
30LIGTHART Pim7157705152567371747664737278
31PIRAZZI Stefano6564745750505467747672736578
32ULISSI Diego7377817668527275787675797683
33VICHOT Arthur7264765750507472767673757580
34KWIATKOWSKI Michal7575817781757575787675797884
35BARDET Romain7378776474527474797675797983
36PELLIZOTTI Franco7276776350506273767574767681
37PAOLINI Luca7355755250767573747574756380
38KOLOBNEV Alexandr7158765052545872747572746479
39POZZATO Filippo7251755274757574747575745679
40LEUKEMANS Björn7355775052767173757574756880
41LAGUTIN Sergey7160745151516371747570747479
42ALBASINI Michael7259775275547473757571756380
43SANCHEZ GIL Luis Leon7274766774506371767572757580
44MORENO FERNANDEZ Daniel7279816755506574797577797984
45ROCHE Nicolas7279767553507473777575777882
46TROFIMOV Yury7175755853536672757572757680
47CLEMENT Stef6969727575505872737558737278
48HANSEN Adam6974705360506274747571737579
49RIBLON Christophe7175746171506571757572747579
50ROJAS GIL Jose Joaquin7374765258607874767573757581
51STYBAR Zdenek7561755374797573747576767581
52HERRADA LOPEZ Jose6875746553505771747571747579
53FUGLSANG Jakob7277757174757072787572777882
54CAPECCHI Eros6875745665505771747571747679
55THOMAS Geraint7574757578787472757574767681
56RUBIANO CHAVEZ Miguel Angel7261765150507072757571747379
57URAN URAN Rigoberto7279777766506573777574788083
58WESTRA Lieuwe7274747677755674757573757580
59CARDOSO Andre Fernando Santos Martins7275745553505771747572747679
60GESCHKE Simon7274775569506972757574757080

Edited by TankNL on 11-08-2014 17:46
 
zachbastian
Voigt
 
TankNL
zachbastian wrote:
Voigt


I knew that name would come up... I tried to get the algorithm to push him upwards, but then all other riders would get messed up stats.

CyclistNameFLAMOUHILTTPRLCOBSPRACCDHLFTRSTARESRECPOP
VOIGT Jens6062645768505661737458696569


He's "only" 74 fighter... his popularity is also off in my opinion, but he doesn't get good (big) results, that's why the popularity calculation is so low.
Edited by TankNL on 11-08-2014 18:08
 
Lachi
I think it is a good system even if random riders like Voight or Sagan do not fit. It is easier to fix certain riders than to create a whole DB.
 
TankNL
Lachi wrote:
I think it is a good system even if random riders like Voight or Sagan do not fit. It is easier to fix certain riders than to create a whole DB.


Thanks Lachi, that's exactly my point Smile
 
Ad Bot
Posted on 29-09-2024 18:35
Bot Agent

Posts: Countless
Joined: 23.11.09

IP: None  
sammyt93
2 thoughts strike me looking through the most recent set of data.

the being that the sprint stats on a whole look high, highlighted by 7 guys being on the joint highest sprint and after looking at the raw points value of them I believe that the points to stat threshold for sprint might need adjusting a little as there's quite abit of variation in the points for those tied on 83. The lowest is Cavendish on 4690.17 points and the highest is Sagan on 6953.395 points.

Judging solely off the point value Sagan and Greipel should probably be joint highest, then Kristoff, Kittel then Bouhani and Degenkolb. Then Cavendish who isn't that much higher then Demare and they could be on the same level.

The second thing is that Valverde tends to have alot of racedays so he has a lot more chances to score points. I'm not sure how many more he has compared to Froome, Contador and the rest but I'd imagine it has had some impact on his points value and subsequently on his stats.

I was thinking it might produce a better outcome if there was a way of dividing the points by the umber of racedays as it should bring guys like valverde who race a lot and have a lot more chances to score points back to a more comparable level to others and would help avoid penalising anyone who has crashed and had to miss large or key parts of their season. For example Boonen missing the cobbled races in 2013 although it doesn't look like that's had an effect in the current stats.

Yes I know that could create a few more problems like Wiggins and Sorenson doing well in cobbles despite only taking part in 1 years worth instead of multiple seasons like the specialists but it should help the top guys anyway.

Although looking at the latest results Cobble might need stretching out in the same way, though I've not yet looked at their raw points value it still seems a little odd seeing 5 guy tied on the highest stat.
 
TankNL
As announced, I've created a .cdb based on ASOdb2014.
Did nothing else but copy and past the stats from the Excel.

I only did a couple minor adjustments, just because I feel like that would become more realistic (like I said in this thread, its not about an individual, but about the Algorithms);

Mountain;
Valverde 83 -> 80
Contador 82 -> 83
Froome 82 -> 83
Ten Dam 77 -> 78 (because I'm Dutch Smile )
Peraud 79 -> 80 (could be 81, but then Its solely on the TdF)

Cobbles;
Terpstra 83 -> 82
Sagan 83 -> 81

Sprint;
Kittel 83 -> 84
Cavendish 83 -> 84
Kristoff 83 -> 82
Degenkolb 83 -> 82
Sagan 83 -> 80
Bouhanni 83 -> 80

Fighter
Voight 74 -> 80 Smile

Here is the edited .cdb file; https://dl.dropbo...lStats.cdb
I hope a couple of you guys can help me with some test runs.
 
TankNL
sammyt93 wrote:
2 thoughts strike me looking through the most recent set of data.

the being that the sprint stats on a whole look high, highlighted by 7 guys being on the joint highest sprint and after looking at the raw points value of them I believe that the points to stat threshold for sprint might need adjusting a little as there's quite abit of variation in the points for those tied on 83. The lowest is Cavendish on 4690.17 points and the highest is Sagan on 6953.395 points.

Judging solely off the point value Sagan and Greipel should probably be joint highest, then Kristoff, Kittel then Bouhani and Degenkolb. Then Cavendish who isn't that much higher then Demare and they could be on the same level.

The second thing is that Valverde tends to have alot of racedays so he has a lot more chances to score points. I'm not sure how many more he has compared to Froome, Contador and the rest but I'd imagine it has had some impact on his points value and subsequently on his stats.

I was thinking it might produce a better outcome if there was a way of dividing the points by the umber of racedays as it should bring guys like valverde who race a lot and have a lot more chances to score points back to a more comparable level to others and would help avoid penalising anyone who has crashed and had to miss large or key parts of their season. For example Boonen missing the cobbled races in 2013 although it doesn't look like that's had an effect in the current stats.

Yes I know that could create a few more problems like Wiggins and Sorenson doing well in cobbles despite only taking part in 1 years worth instead of multiple seasons like the specialists but it should help the top guys anyway.

Although looking at the latest results Cobble might need stretching out in the same way, though I've not yet looked at their raw points value it still seems a little odd seeing 5 guy tied on the highest stat.


Thanks Sammyt93, your input is very usefull... I actually had implemented an average calculated by number of race days, but got a lot of crazy results because of multiple cyclist doing good for 5 results (one 2.1 tour for instance) and would mess up all calculations. The other thing is, that injuries happen very often, whether we like it or not. So, missing out on a race goal for the season is big, but what about Jurgen Van den Broeck who was ill during the tour, or Mollema, how was ill the first week....

For me then it because interpretation again and I would like to keep looking at the results, find patterns and use and algorithm to calculate based on those patterns.

If you look at the result tab, then you will see that all results within 365 now count 5 times, all within 730 days count 3 times and the others 1 time. So that also might explain why Cavendish has less points, he has not scored a WT podium this year and his victories of last year count less than podium places of for instance Demare or Sagan of this year.

But if you could give me hints on how to improve the points distribution, than I would be more than happy to give it a go. After all, your idea about the domestics is what made the stats actually usable Cool
 
TankNL
sammyt93 wrote:
the being that the sprint stats on a whole look high, highlighted by 7 guys being on the joint highest sprint and after looking at the raw points value of them I believe that the points to stat threshold for sprint might need adjusting a little as there's quite abit of variation in the points for those tied on 83. The lowest is Cavendish on 4690.17 points and the highest is Sagan on 6953.395 points.

Judging solely off the point value Sagan and Greipel should probably be joint highest, then Kristoff, Kittel then Bouhani and Degenkolb. Then Cavendish who isn't that much higher then Demare and they could be on the same level.


The formula for calculating the stats is on the stats sheets.
I take the highest (actually second highest, because highest is the total of the column) scored points of the sprint column in the Pivot table.

Then I take the max points - 10 (in case of Sprint 83-10 = 73 and increase that by the points scored divided by (highest scored points divided by 15).
So 73 + pointsScored / (highestPointsScored/15) = SprintStat (fail-save is build-in, so if it comes above the max stat, then the max stat is used)

But only for somebody who has more points than highest scored points divided by 15. If this is not the case then I will do 50 plus 25 times points scored divided by (highest scored points divided by 15).
So 50 + 25 * pointsScored / (highestPointsScored/15) = SprintStat (impossible to go above 75)

I could use other algorithm's but it is a dilemma of not wanting to create to big of a gap between top and rest and giving enough momentum in order to make the results translate into a scale from 50 to the maximum stat.
 
TankNL
TankNL wrote:
As announced, I've created a .cdb based on ASOdb2014.
Did nothing else but copy and past the stats from the Excel.

I only did a couple minor adjustments, just because I feel like that would become more realistic (like I said in this thread, its not about an individual, but about the Algorithms);

Mountain;
Valverde 83 -> 80
Contador 82 -> 83
Froome 82 -> 83
Ten Dam 77 -> 78 (because I'm Dutch Smile )
Peraud 79 -> 80 (could be 81, but then Its solely on the TdF)

Cobbles;
Terpstra 83 -> 82
Sagan 83 -> 81

Sprint;
Kittel 83 -> 84
Cavendish 83 -> 84
Kristoff 83 -> 82
Degenkolb 83 -> 82
Sagan 83 -> 80
Bouhanni 83 -> 80

Fighter
Voight 74 -> 80 Smile

Here is the edited .cdb file; https://dl.dropbo...lStats.cdb
I hope a couple of you guys can help me with some test runs.


Forgot to give credits to OlegTinkov, who did a fantastic job with his database. Used it already for some time and really like it. That's why I used his db to experiment.
 
sammyt93
I love the Idea of using the multiplier for a decay of results, assuming you are able to keep this up to date will the results change bracket automatically?

Maybe adjusting the multiplier to 1, 1.5, 2.5 instead of 1,3,5 would help those that have missed a race goal for a season but I don't know what effect that would have on everyone else or on the stats in general.

 
TankNL
sammyt93 wrote:
I love the Idea of using the multiplier for a decay of results, assuming you are able to keep this up to date will the results change bracket automatically?

Maybe adjusting the multiplier to 1, 1.5, 2.5 instead of 1,3,5 would help those that have missed a race goal for a season but I don't know what effect that would have on everyone else or on the stats in general.


the problem then is that Aru, Kelderman, Maijka won't be more than in the middle of the pack and guys like Scarponi and Basso will be more in the top, than the should be. But feel free to toy around with the numbers... that's why I do this "project" open source...
 
sammyt93
TankNL wrote:
sammyt93 wrote:
I love the Idea of using the multiplier for a decay of results, assuming you are able to keep this up to date will the results change bracket automatically?

Maybe adjusting the multiplier to 1, 1.5, 2.5 instead of 1,3,5 would help those that have missed a race goal for a season but I don't know what effect that would have on everyone else or on the stats in general.


the problem then is that Aru, Kelderman, Maijka won't be more than in the middle of the pack and guys like Scarponi and Basso will be more in the top, than the should be. But feel free to toy around with the numbers... that's why I do this "project" open source...


what if domestique points had an inverse over time multiplier to individual points, that might help young riders have recently developed into leading roles like Kelderman and Majka, though however you do it you are still going to end up penalising riders that have turned pro since you start taking the results, e.g. the Yates brothers, Ewan etc.
 
OlegTinkov
Test results A.S.O.DB 2014 with CalStats
Tour de France 2014 (startlist)
Part 1/2

pcmdaily.com/forum/attachments/pcm0001_27.png

Stage 1 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-01.jpg

1André GreipelLotto Belisol4h23'35
2Alexander KristoffTeam Katushas.t.P
3Marcel KittelTeam Giant-Shimanos.t.

Spoiler
4Peter SaganCannondales.t.
5John DegenkolbTeam Giant-Shimanos.t.
6Arnaud DémareFDJ.frs.t.
7Bryan CoquardTeam Europcars.t.
8Samuel DumoulinAg2r La Mondiales.t.
9Alejandro ValverdeMovistar Teams.t.
10Elia VivianiCannondales.t.


Stage 2 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-02.jpg

1Alejandro ValverdeMovistar Team5h01'29
2Alexander KristoffTeam Katusha+ 24P
3John DegenkolbTeam Giant-Shimanos.t.

Spoiler
4Vincenzo NibaliAstana Pro Teams.t.
5Tony GallopinLotto Belisols.t.
6Samuel DumoulinAg2r La Mondiales.t.
7Bauke MollemaBelkin-Pro Cycling Teams.t.
8Michał KwiatkowskiOmega Pharma - Quick-Steps.t.
9Jakob FuglsangAstana Pro Teams.t.
10Joaquím RodríguezTeam Katushas.t.P


Stage 3 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-03.jpg

1Marcel KittelTeam Giant-Shimano3h17'30
2John DegenkolbTeam Giant-Shimanos.t.
3André GreipelLotto Belisols.t.

Spoiler
4Alexander KristoffTeam Katushas.t.P
5Peter SaganCannondales.t.
6Arnaud DémareFDJ.frs.t.
7Elia VivianiCannondales.t.
8Greg Van AvermaetBMC Racing Teams.t.
9Samuel DumoulinAg2r La Mondiales.t.
10Bryan CoquardTeam Europcars.t.


Stage 4 (3D)
www.steephill.tv/2014/tour-de-france/resources/profile-04.jpg

1Marcel KittelTeam Giant-Shimano3h26'30
2Peter SaganCannondales.t.
3André GreipelLotto Belisols.t.

Spoiler
4Alexander KristoffTeam Katushas.t.P
5John DegenkolbTeam Giant-Shimanos.t.
6Bryan CoquardTeam Europcars.t.
7Mark RenshawOmega Pharma - Quick-Steps.t.
8Alejandro ValverdeMovistar Teams.t.
9Arnaud DémareFDJ.frs.t.
10Greg Van AvermaetBMC Racing Teams.t.


Stage 5 (3D)
www.steephill.tv/2014/tour-de-france/resources/profile-05.jpg

1Greg Van AvermaetBMC Racing Team3h27'31
2Peter SaganCannondales.t.
3Niki TerpstraOmega Pharma - Quick-Steps.t.

Spoiler
4Sep VanmarckeBelkin-Pro Cycling Team+ 53
5Sylvain ChavanelIAM Cyclings.t.
6Alexander KristoffTeam Katushas.t.P
7John DegenkolbTeam Giant-Shimanos.t.
8Vincenzo NibaliAstana Pro Teams.t.
9Tony GallopinLotto Belisols.t.
10Michael SchärBMC Racing Teams.t.
11Michał KwiatkowskiOmega Pharma - Quick-Steps.t.
12Grégory RastTrek Factory Racings.t.
13Jakob FuglsangAstana Pro Teams.t.
14Matteo TrentinOmega Pharma - Quick-Steps.t.
15Sébastien MinardAg2r La Mondiales.t.
16Marcus BurghardtBMC Racing Team+ 3'00
17Lieuwe WestraAstana Pro Teams.t.
18Luca PaoliniTeam Katusha+ 6'13P
19Martin ElmigerIAM Cycling+ 6'50
20Maarten WynantsBelkin-Pro Cycling Team+ 8'34
21Thomas LeezerBelkin-Pro Cycling Teams.t.
22Bauke MollemaBelkin-Pro Cycling Teams.t.
23Tony MartinOmega Pharma - Quick-Step+ 9'36
24Bernhard EiselTeam Skys.t.
25Sebastian LangeveldGarmin Sharps.t.
26Jens KeukeleireOrica GreenEDGEs.t.
27Mark RenshawOmega Pharma - Quick-Steps.t.
28Jan BakelantsOmega Pharma - Quick-Steps.t.
29Nicolas RocheTinkoff-Saxos.t.
30Geraint ThomasTeam Skys.t.
31Romain BardetAg2r La Mondiales.t.
32Lars BoomBelkin-Pro Cycling Teams.t.
33Alejandro ValverdeMovistar Teams.t.
34Thomas VoecklerTeam Europcars.t.
35Laurens Ten DamBelkin-Pro Cycling Teams.t.
36Tanel KangertAstana Pro Teams.t.
37Steven KruijswijkBelkin-Pro Cycling Teams.t.
38Tejay Van GarderenBMC Racing Teams.t.
39Haimar ZubeldiaTrek Factory Racings.t.
40Jurgen Van Den BroeckLotto Belisols.t.
41Tom DumoulinTeam Giant-Shimanos.t.
42Michael RogersTinkoff-Saxos.t.
43Alessandro PetacchiOmega Pharma - Quick-Steps.t.
44Mikel NieveTeam Skys.t.
45Thibaut PinotFDJ.frs.t.
46Anthony DelaplaceBretagne - Séché Environnements.t.
47Jean-Christophe PéraudAg2r La Mondiales.t.
48Christopher HornerLampre-Meridas.t.
49Roy CurversTeam Giant-Shimanos.t.
50Marcel SiebergLotto Belisols.t.
51Leopold KönigTeam NetApp - Enduras.t.
52Andreas SchillingerTeam NetApp - Enduras.t.
53Michał GołaśOmega Pharma - Quick-Steps.t.
54Roger KlugeIAM Cyclings.t.
55Yury TrofimovTeam Katushas.t.P
56Rafał MajkaTinkoff-Saxos.t.
57Richard PorteTeam Skys.t.
58Arnaud DémareFDJ.frs.t.
59Pierre RollandTeam Europcars.t.
60William BonnetFDJ.frs.t.


Stage 6 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-06.jpg

1John DegenkolbTeam Giant-Shimano4h29'54
2André GreipelLotto Belisols.t.
3Alexander KristoffTeam Katushas.t.P

Spoiler
4Marcel KittelTeam Giant-Shimanos.t.
5Peter SaganCannondales.t.
6Bryan CoquardTeam Europcars.t.
7Arnaud DémareFDJ.frs.t.
8Samuel DumoulinAg2r La Mondiales.t.
9Sylvain ChavanelIAM Cyclings.t.
10Sep VanmarckeBelkin-Pro Cycling Teams.t.


Stage 7 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-07.jpg

1Marcel KittelTeam Giant-Shimano4h58'42
2Alexander KristoffTeam Katushas.t.P
3John DegenkolbTeam Giant-Shimanos.t.

Spoiler
4Peter SaganCannondales.t.
5Arnaud DémareFDJ.frs.t.
6André GreipelLotto Belisols.t.
7Elia VivianiCannondales.t.
8Greg Van AvermaetBMC Racing Teams.t.
9Samuel DumoulinAg2r La Mondiales.t.
10Bryan CoquardTeam Europcars.t.


Stage 8 (Simulated)
www.steephill.tv/2014/tour-de-france/resources/profile-08.jpg

1Michał KwiatkowskiOmega Pharma - Quick-Step3h51'27
2Rafał MajkaTinkoff-Saxos.t.
3Alejandro ValverdeMovistar Team+ 10

Spoiler
4Vincenzo NibaliAstana Pro Teams.t.
5Laurens Ten DamBelkin-Pro Cycling Teams.t.
6Thibaut PinotFDJ.frs.t.
7Bauke MollemaBelkin-Pro Cycling Team+ 21
8Arnold JeannessonFDJ.frs.t.
9Thomas VoecklerTeam Europcars.t.
10Lieuwe WestraAstana Pro Teams.t.
11Pierre RollandTeam Europcars.t.
12Joaquím RodríguezTeam Katusha+ 32P
13Giovanni ViscontiMovistar Teams.t.
14Michael RogersTinkoff-Saxos.t.
15Tanel KangertAstana Pro Teams.t.
16Simon ClarkeOrica GreenEDGEs.t.
17Jose MachadoTeam NetApp - Enduras.t.
18Geraint ThomasTeam Skys.t.
19David LópezTeam Skys.t.
20Sylvain ChavanelIAM Cycling+ 40
21Richard PorteTeam Skys.t.
22Alexander KristoffTeam Katushas.t.P
23Alessandro De MarchiCannondales.t.
24Christophe RiblonAg2r La Mondiales.t.
25Jurgen Van Den BroeckLotto Belisols.t.
26José SerpaLampre-Meridas.t.
27Matteo MontagutiAg2r La Mondiales.t.
28Tony GallopinLotto Belisol+ 50
29Jean-Christophe PéraudAg2r La Mondiales.t.
30Peter SaganCannondales.t.
31Tejay Van GarderenBMC Racing Teams.t.
32Michele ScarponiAstana Pro Teams.t.
33Mikel NieveTeam Skys.t.
34Vasil KiryienkaTeam Skys.t.
35Brice FeilluBretagne - Séché Environnements.t.
36Michael AlbasiniOrica GreenEDGEs.t.
37Marcus BurghardtBMC Racing Teams.t.
38Rein TaaramäeCofidis, Solutions Créditss.t.
39Rubén PlazaMovistar Teams.t.
40Tony MartinOmega Pharma - Quick-Step+ 59
41Romain BardetAg2r La Mondiales.t.
42Tom DumoulinTeam Giant-Shimanos.t.
43Jakob FuglsangAstana Pro Teams.t.
44Beñat IntxaustiMovistar Teams.t.
45Tom-Jelte SlagterGarmin Sharps.t.
46Jan BakelantsOmega Pharma - Quick-Steps.t.
47Haimar ZubeldiaTrek Factory Racings.t.
48Sébastien ReichenbachIAM Cyclings.t.
49John GadretMovistar Teams.t.
50Yukiya ArashiroTeam Europcars.t.
51Lars BoomBelkin-Pro Cycling Teams.t.
52Mikaël ChérelAg2r La Mondiales.t.
53Jürgen RoelandtsLotto Belisols.t.
54Ramūnas NavardauskasGarmin Sharps.t.
55Jérémy RoyFDJ.frs.t.
56Michael SchärBMC Racing Teams.t.
57Luca PaoliniTeam Katushas.t.P
58Cyril GautierTeam Europcar+ 1'11
59Leopold KönigTeam NetApp - Enduras.t.
60Christopher HornerLampre-Meridas.t.


Stage 9 (3D)
www.steephill.tv/2014/tour-de-france/resources/profile-09.jpg

1Alejandro ValverdeMovistar Team4h16'57
2Rafał MajkaTinkoff-Saxo+ 44
3Romain BardetAg2r La Mondiales.t.

Spoiler
4Giovanni ViscontiMovistar Teams.t.
5Peter SaganCannondale+ 1'46
6Sylvain ChavanelIAM Cyclings.t.
7Tony GallopinLotto Belisols.t.
8Tom-Jelte SlagterGarmin Sharps.t.
9Michał KwiatkowskiOmega Pharma - Quick-Steps.t.
10Tom DumoulinTeam Giant-Shimanos.t.


Stage 10 (3D)
www.steephill.tv/2014/tour-de-france/resources/profile-10.jpg
Breakaway: Rolland, Rodríguez, Jeannesson, Intxausti, Clarke, Chérel, Schleck, Hansen, De Marchi and Durasek

1Pierre RollandTeam Europcar4h32'20
2Joaquím RodríguezTeam Katushas.t.P
3Arnold JeannessonFDJ.fr+ 4'02

Spoiler
4Beñat IntxaustiMovistar Team+ 4'39
5Simon ClarkeOrica GreenEDGEs.t.
6Mikaël ChérelAg2r La Mondiale+ 5'34
7Fränk SchleckTrek Factory Racing+ 5'45
8Adam HansenLotto Belisol+ 6'12
9Vincenzo NibaliAstana Pro Team+ 7'04
10Romain BardetAg2r La Mondiales.t.
11Alejandro ValverdeMovistar Teams.t.
12Thibaut PinotFDJ.frs.t.
13Alessandro De MarchiCannondales.t.
14Bauke MollemaBelkin-Pro Cycling Team+ 8'43
15Jean-Christophe PéraudAg2r La Mondiale+ 8'51
16Rafał MajkaTinkoff-Saxos.t.
17Laurens Ten DamBelkin-Pro Cycling Teams.t.
18Christopher HornerLampre-Merida+ 10'18
19Leopold KönigTeam NetApp - Enduras.t.
20Sylvain ChavanelIAM Cycling+ 10'38
21Yury TrofimovTeam Katusha+ 10'56P
22David LópezTeam Sky+ 11'48
23Tejay Van GarderenBMC Racing Team+ 12'32
24Richard PorteTeam Sky+ 14'33
25Kristijan DurasekLampre-Meridas.t.
26Michał KwiatkowskiOmega Pharma - Quick-Step+ 15'13
27Haimar ZubeldiaTrek Factory Racings.t.
28Michele ScarponiAstana Pro Teams.t.
29Jurgen Van Den BroeckLotto Belisol+ 15'43
30Rein TaaramäeCofidis, Solutions Créditss.t.


upload.wikimedia.org/wikipedia/commons/thumb/2/29/Jersey_yellow.svg/20px-Jersey_yellow.svg.png GENERAL upload.wikimedia.org/wikipedia/commons/thumb/2/29/Jersey_yellow.svg/20px-Jersey_yellow.svg.png
(after Stage 10)

1Vincenzo NibaliAstana Pro Team41h56'12
2Sylvain ChavanelIAM Cycling+ 4'28
3Pierre RollandTeam Europcar+ 5'15
4Alejandro ValverdeMovistar Team+ 6'33
5Michał KwiatkowskiOmega Pharma - Quick-Step+ 7'59
6Peter SaganCannondale+ 8'50
7Rafał MajkaTinkoff-Saxo+ 9'18
8Tony GallopinLotto Belisol+ 9'19
9Romain BardetAg2r La Mondiales.t.
10Jakob FuglsangAstana Pro Team+ 9'28
11Bauke MollemaBelkin-Pro Cycling Team+ 9'31
12Thibaut PinotFDJ.fr+ 9'32
13Laurens Ten DamBelkin-Pro Cycling Team+ 10'30
14Jean-Christophe PéraudAg2r La Mondiale+ 11'10
15Lieuwe WestraAstana Pro Team+ 12'17
16Beñat IntxaustiMovistar Team+ 12'57
17Simon ClarkeOrica GreenEDGE+ 13'19
18Christopher HornerLampre-Merida+ 13'47
19Leopold KönigTeam NetApp - Enduras.t.
20Yury TrofimovTeam Katusha+ 14'00P
21Mikaël ChérelAg2r La Mondiale+ 14'16
22Tejay Van GarderenBMC Racing Team+ 15'15
23Arnold JeannessonFDJ.fr+ 15'32
24Richard PorteTeam Sky+ 17'31
25Thomas VoecklerTeam Europcar+ 17'33


upload.wikimedia.org/wikipedia/commons/thumb/c/c5/Jersey_green.svg/20px-Jersey_green.svg.png POINTS upload.wikimedia.org/wikipedia/commons/thumb/c/c5/Jersey_green.svg/20px-Jersey_green.svg.png
(after Stage 10)

1Alexander KristoffTeam Katusha250P
2Marcel KittelTeam Giant-Shimano248
3John DegenkolbTeam Giant-Shimano244
4Peter SaganCannondale237
5André GreipelLotto Belisol210


upload.wikimedia.org/wikipedia/commons/thumb/e/e1/Jersey_polkadot.svg/20px-Jersey_polkadot.svg.png MOUNTAIN upload.wikimedia.org/wikipedia/commons/thumb/e/e1/Jersey_polkadot.svg/20px-Jersey_polkadot.svg.png
(after Stage 10)

1Pierre RollandTeam Europcar59
2Joaquím RodríguezTeam Katusha47P
3Arnold JeannessonFDJ.fr40
4Kristijan DurasekLampre-Merida24
5Beñat IntxaustiMovistar Team18


upload.wikimedia.org/wikipedia/commons/thumb/0/07/Jersey_white.svg/20px-Jersey_white.svg.png YOUNG upload.wikimedia.org/wikipedia/commons/thumb/0/07/Jersey_white.svg/20px-Jersey_white.svg.png
(after Stage 10)

1Michał KwiatkowskiOmega Pharma - Quick-Step42h04'11
2Peter SaganCannondale+ 51
3Rafał MajkaTinkoff-Saxo+ 1'19
4Romain BardetAg2r La Mondiale+ 1'20
5Thibaut PinotFDJ.fr+ 1'33

Edited by OlegTinkov on 12-08-2014 01:23
 
http://www.pcmdaily.com/profile.php?lookup=6187
Paul23
now it looks quite good...
i would still give voigt 85 in FTR....but thats maybe because im german...

BTW: nice, that you've made some adjustments on the stats. now they look better than before...

you said, you make this project open source...so we could make some tests ourselfs and we could write you suggestions, or what do you mean by open source(yes, i know what open source is, but everyone handles it a bit different)
i.imgur.com/aJSlUNt.png
 
TankNL
Paul23 wrote:
now it looks quite good...
i would still give voigt 85 in FTR....but thats maybe because im german...

BTW: nice, that you've made some adjustments on the stats. now they look better than before...

you said, you make this project open source...so we could make some tests ourselfs and we could write you suggestions, or what do you mean by open source(yes, i know what open source is, but everyone handles it a bit different)


Thanks Paul23, yes by open source I mean that I post all my source files with I use to create / generate the stats. I do that so that people can see and understand how the are generated and also to suggest or discuss topics on that matter. Sammyt93 has posted several good idea's and some of them are used in the model that I used to create the .cdb
 
ContadorVelasco
average results imo
 
TankNL
ContadorVelasco wrote:
average results imo

I'm trying hard to appreciate you opinion, but can you explain yourself a little bit more? Did you do a test run? Are you replying on the results that OlegTinkov has posted? If so, what is average in you oppinion? Without that, you comment is rather useless, but that is just my honest opinion.
Edited by TankNL on 12-08-2014 03:52
 
ContadorVelasco
TankNL wrote:
ContadorVelasco wrote:
average results imo

I'm trying hard to appreciate you opinion, but can you explain yourself a little bit more? Did you do a test run? Are you replying on the results that OlegTinkov has posted? If so, what is average in you oppinion? Without that, you comment is rather useless, but that is just my honest opinion.

About Oleg results.
Chavanel only lost 3min to Nibali at stage with mountains and mountains.

im not have db, but im test here simulate stages and i see what results im have
 
Jump to Forum:
Login
Username

Password



Not a member yet?
Click here to register.

Forgotten your password?
Request a new one here.
Latest content
Screenshots
Promo : Columbia Road
Promo : Columbia Road
PCM 08: PCM.daily's 2009 DB
Fantasy Betting
Current bets:
No bets available.
Best gamblers:
bullet fighti... 17,576 PCM$
bullet df_Trek 16,674 PCM$
bullet Marcovdw 14,545 PCM$
bullet jseadog1 12,852 PCM$
bullet baseba... 10,039 PCM$

bullet Main Fantasy Betting page
bullet Rankings: Top 100
ManGame Betting
Current bets:
No bets available.
Best gamblers:
bullet Ollfardh 21,290 PCM$
bullet df_Trek 14,820 PCM$
bullet Marcovdw 14,000 PCM$
bullet jseadog1 12,800 PCM$
bullet baseball... 6,932 PCM$

bullet Main MG Betting page
bullet Get weekly MG PCM$
bullet Rankings: Top 100
Render time: 0.35 seconds