A proposal for new average talent ratings for my definitions - 2020

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will_the_canuck
Posts: 141
Joined: Tue Jan 16, 2018 5:54 am
Location: Canada

A proposal for new average talent ratings for my definitions - 2020

Post by will_the_canuck »

Hello all.

Now you're all probably looking at my subject line and wondering what am I talking about? Well, let's just say that with bygfoot, there is a need for additions and updates to bring the definitions into the 2020's. By that I'm referring to the FIFA Club World Cup. Right now, with regards to club play, you have Europe (UEFA), South America (CONMEBOL), Mexico and the USA of North America (CONCACAF), and Japan of Asia and Australia of Oceania, although which is also part of the Asian association AFC. And really, that's currently it. Although for the version 2.3.3 update which was never really brought into being, there are basic definitions for Africa and Asia too, although I think they are limited in a way. In regards to the Club World Cup, the UEFA definitions only have the winner of the UEFA Champions League challenge a random team from South America in the Intercontinental Cup, which existed at one time but has expanded since then. As for the CONMEBOL definitions, they have the winner of their Recopa Sudamericana at least enter into something like the FIFA Club World Cup, but with some of the football associations not really represented in the game yet, their team selections are also limited and also random. As for the CONCACAF definitions, they did have the CONCACAF Champions League cup file but that's as far as it went. And as for Japan and Australia, there was no international play within the two country files.

So what I am proposing to do here is basically create the related league files of all the represented countries for Africa (CAF), Asia (AFC), Oceania (OFC), and CONCACAF (North and Central America and the Caribbean) to a point where the related countries wouldn't be playable per say but could be used to create the related tournaments that would be used to qualify for the FIFA Club World Cup. My intent would be to create the top league(s) in the related countries and then leave it to a point that if anyone else wanted to continue in creating a definition for that country, they could then easily do that without having to modify many files. Also, if said person was having problems with it, they could always ask for help with that particular country. We as a community here are here to assist if we can. I would also spend some time hopefully updating the South American (CONMEBOL) definitions as well. As for the European (UEFA) definitions, they are currently being updated by another person.

So with all of this in mind, it sounds simple enough, right? Well, there's a catch. After creating all the files and all, how would one decide to rate the particular countries in relation to the average talent of each country, and in comparison to one another. It is very easy to give them all random values and whenever you would have an international tournament, just using a <talent_diff> value (allows the computer to randomly assign a random talent ranking to a single or group of teams in a cup file, within a certain range from the talent value of the league ranking that the player is from), but that doesn't really give any realism to the game. When the developers created the game and the definitions, they did a very good job on the European (UEFA) definitions in that with regards to the UEFA Champions League cup files, they created a <property> value that allowed the teams selected from random teams within the Europe definitions to retain a level of ranking that befitted the country the team(s) were selected from. Otherwise, if the team was a lowly ranked country with a lowly rated value, the team would have a lowly rated value that would resemble the other teams from that league, if you were to play it. This trait is something that I would like to bring to the FIFA Club World Cup. But to do that, I need to rate all the countries in the world accurately, to a point. So here is the hard part.

What I did was wait until the first update of the year for 2020 from FIFA. The update for the Men's national team rankings was done on February 20, 2020. I copied the team rank, country name, and total points of all 210 countries and put them in a spreadsheet and did some magic on them to come up with values that can be used for the top tiers in the countries in the related football associations around the world to help me make the FIFA Club World Cup in the form that I want it to be, instead of randomly selecting a team and giving it a random talent value and all. So this will take some time to finish. :)

So to begin, here is a listing of the top 10 and bottom 10 nations in the world, according to FIFA's latest rankings:

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rank	team			total points	average talent	nation's talent
1	Belgium				1765		8500		8825
2	France				1733		8400		8665
3	Brazil				1712		8300		8560
4	England				1661		8100		8305
5	Uruguay				1645		8100		8225
6	Croatia				1642		8100		8210
7	Portugal			1639		8000		8195
8	Spain				1636		8000		8180
9	Argentina			1623		8000		8115
10	Colombia			1622		8000		8110
				
200	Aruba				867		5200		4335
202	Seychelles			866		5200		4330
203	Tonga				862		5200		4310
203	Turks and Caicos Islands	862		5200		4310
205	Eritrea				856		5200		4280
206	Sri Lanka			853		5100		4265
207	US Virgin Islands		844		5100		4220
208	British Virgin Islands		842		5100		4210
209	San Marino			824		5000		4120
210	Anguilla			821		5000		4105
Ok. Now the explanation. In the above example, you see the headings of rank, team, total points, average talent, and nation's talent. These headings will appear in the following displays of the related associations also, along with another heading of count, which is basically a counter. As the heading of rank, team, and total points should be self-explanatory as I got them all from FIFA's website, the average talent and nation's talent are the ones that will be used and explained. As the nation's talent value is basically taking the total points value and multiplying it by 5, these totals I can use to potentially update the World Cup definitions in relation to updating the related countries within the World Cup definitions and giving them potentially updated average talent values, compared to what they currently are.

As for the average talent value, this one used a little magic to come up with the values that you see. From the original definitions for bygfoot that came with version 2.3.2, I noticed that of all the country definitions, the top level tiers had average talent values ranging from 5300 to 8500. So with that in mind, I kept the 8500 as a maximum value that a country's top level tier could have, and as a minimum value, I decided that 5000 would be the minimum value that a country's top level tier could have. From the above example, you could see that only Belgium would get a talent rating of 8500 and two teams (San Marino and Anguilla) would get the lowest talent rating of 5000. Although too, I will say that not all countries that belong to the related football associations (UEFA, CONMEBOL, CONCACAF, CAF, AFC, and OFC) are members of FIFA, and if they are qualified to enter any of the tournaments that can lead into the FIFA Club World Cup and I can find a league to create them with, I will create them and give them the lowest talent rating of 5000, so at least they will exist.

So now for the magic. Using the highest and lowest total points values of 1765 and 821, I decided I would use values just beyond that for my purposes, which in this case would be 1775 as the high value and 800 as the low value. I calculated the difference between them, which was 975. I then calculated how many 100 point breaks are between 5000 and 8600, which were 36. I chose 8600 instead of 8500 because if the value produced was between say 8000 and 8100, the value assigned to that country would be the lower value, in this case, 8000. So although 8600 is used for calculations here, no country can currently get to have that value. So I took 975 and divided it by 36 to get 27.0833. So I did a basic formula starting at 800 and then adding 27.0833 to it, for 36 times, until the value equaled 1775. And at each line, from 800 to 1775, I did a similar formula starting at 5000 and then adding 100 to it, each time for 36 times, until the value got to 8600. So if a country's total points value fell within a certain range, I looked at the corresponding column and checked out its average talent value. As it would fall between two values, I would select the lower value and that would then become the average talent value that I would use. :) Simple enough, right?

Ok. So without further ado, here are the results for the following football associations:

Europe - UEFA

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count	fifa rank	team		total points	average talent	nation's talent
1	1		Belgium			1765		8500		8825
2	2		France			1733		8400		8665
3	4		England			1661		8100		8305
4	6		Croatia			1642		8100		8210
5	7		Portugal		1639		8000		8195
6	8		Spain			1636		8000		8180
7	12		Switzerland		1608		7900		8040
8	13		Italy			1607		7900		8035
9	14		Netherlands		1604		7900		8020
10	15		Germany			1602		7900		8010
11	16		Denmark			1598		7900		7990
12	17		Sweden			1579		7800		7895
13	19		Poland			1559		7800		7795
14	23		Wales			1540		7700		7700
15	24		Ukraine			1537		7700		7685
16	26		Austria			1507		7600		7535
17	29		Serbia			1494		7500		7470
18	29		Turkey			1494		7500		7470
19	32		Slovakia		1490		7500		7450
20	34		Republic of Ireland	1486		7500		7430
21	36		Northern Ireland	1476		7400		7380
22	37		Romania			1475		7400		7375
23	38		Russia			1470		7400		7350
24	39		Iceland			1465		7400		7325
25	44		Norway			1451		7400		7255
26	45		Czech Republic		1446		7300		7230
27	49		Bosnia and Herzegovina	1430		7300		7150
28	50		Scotland		1422		7200		7110
29	52		Hungary			1416		7200		7080
30	54		Greece			1409		7200		7045
31	58		Finland			1386		7100		6930
32	59		Bulgaria		1381		7100		6905
33	64		Montenegro		1365		7000		6825
34	64		Slovenia		1365		7000		6825
35	66		Albania			1356		7000		6780
36	68		North Macedonia		1347		7000		6735
37	87		Belarus			1280		6700		6400
38	91		Georgia			1267		6700		6335
39	93		Israel			1260		6600		6300
40	95		Cyprus			1251		6600		6255
41	98		Luxembourg		1236		6600		6180
42	102		Armenia			1213		6500		6065
43	104		Estonia			1202		6400		6010
44	110		Faroe Islands		1181		6400		5905
45	114		Azerbaijan		1177		6300		5885
46	115		Kosovo			1174		6300		5870
47	118		Kazakhstan		1155		6300		5775
48	131		Lithuania		1089		6000		5445
49	135		Andorra			1082		6000		5410
50	137		Latvia			1079		6000		5395
51	175		Moldova			959		5500		4795
52	180		Liechtenstein		926		5400		4630
53	184		Malta			919		5400		4595
54	196		Gibraltar		879		5200		4395
55	209		San Marino		824		5000		4120
South America - CONMEBOL

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count	fifa rank	team		total points	average talent	nation's talent
1	3		Brazil			1712		8300		8560
2	5		Uruguay			1645		8100		8225
3	9		Argentina		1623		8000		8115
4	10		Colombia		1622		8000		8110
5	17		Chile			1579		7800		7895
6	21		Peru			1544		7700		7720
7	25		Venezuela		1517		7600		7585
8	41		Paraguay		1461		7400		7305
9	63		Ecuador			1368		7000		6840
10	75		Bolivia			1324		6900		6620
North and Central America and the Caribbean - CONCACAF

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count	fifa rank	team			total points	average talent	nation's talent
1	11		Mexico				1621		8000		8105
2	22		USA				1542		7700		7710
3	46		Costa Rica			1439		7300		7195
4	48		Jamaica				1437		7300		7185
5	62		Honduras			1377		7100		6885
6	69		El Salvador			1346		7000		6730
7	73		Canada				1332		6900		6660
8	80		Curaçao				1313		6800		6565
9	81		Panama				1304		6800		6520
10	86		Haiti				1285		6700		6425
11	105		Trinidad and Tobago		1201		6400		6005
12	126		Antigua and Barbuda		1127		6200		5635
13	130		Guatemala			1106		6100		5530
14	139		St. Kitts and Nevis		1074		6000		5370
15	141		Suriname			1073		6000		5365
16	151		Nicaragua			1050		5900		5250
17	158		Dominican Republic		1019		5800		5095
18	159		Grenada				1015		5700		5075
19	162		Barbados			1009		5700		5045
20	166		Guyana				988		5600		4940
21	167		St. Vincent and the Grenadines	986		5600		4930
22	168		Bermuda				984		5600		4920
23	170		Belize				974		5600		4870
24	176		St. Lucia			953		5500		4765
25	178		Puerto Rico			941		5500		4705
26	179		Cuba				936		5500		4680
27	183		Montserrat			921		5400		4605
28	184		Dominica			919		5400		4595
29	193		Cayman Islands			897		5300		4485
30	195		Bahamas				880		5200		4400
31	200		Aruba				867		5200		4335
32	203		Turks and Caicos Islands	862		5200		4310
33	207		US Virgin Islands		844		5100		4220
34	208		British Virgin Islands		842		5100		4210
35	210		Anguilla			821		5000		4105
Africa - CAF

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count	fifa rank	team			total points	average talent	nation's talent
1	20		Senegal				1555		7700		7775
2	27		Tunisia				1506		7600		7530
3	31		Nigeria				1493		7500		7465
4	35		Algeria				1482		7500		7410
5	43		Morocco				1456		7400		7280
6	46		Ghana				1439		7300		7195
7	51		Egypt				1420		7200		7100
8	53		Cameroon			1413		7200		7065
9	56		Congo DR			1389		7100		6945
10	56		Mali				1389		7100		6945
11	59		Burkina Faso			1381		7100		6905
12	61		Côte d'Ivoire			1378		7100		6890
13	71		South Africa			1334		6900		6670
14	74		Guinea				1328		6900		6640
15	77		Uganda				1321		6900		6605
16	78		Cabo Verde			1318		6900		6590
17	83		Gabon				1297		6800		6485
18	84		Benin				1295		6800		6475
19	88		Zambia				1279		6700		6395
20	89		Congo				1269		6700		6345
21	91		Madagascar			1267		6700		6335
22	100		Mauritania			1223		6500		6115
23	101		Libya				1215		6500		6075
24	106		Mozambique			1200		6400		6000
25	107		Kenya				1199		6400		5995
26	109		Central African Republic	1184		6400		5920
27	111		Zimbabwe			1180		6400		5900
28	112		Niger				1179		6300		5895
29	117		Namibia				1160		6300		5800
30	118		Guinea-Bissau			1155		6300		5775
31	118		Sierra Leone			1155		6300		5775
32	123		Malawi				1141		6200		5705
33	124		Angola				1136		6200		5680
34	126		Togo				1127		6200		5635
35	128		Sudan				1112		6100		5560
36	131		Rwanda				1089		6000		5445
37	133		Comoros				1088		6000		5440
38	134		Tanzania			1086		6000		5430
39	139		Lesotho				1074		6000		5370
40	145		Equatorial Guinea		1066		5900		5330
41	146		Ethiopia			1061		5900		5305
42	148		Botswana			1055		5900		5275
43	149		Burundi				1052		5900		5260
44	152		Liberia				1047		5900		5235
45	153		Eswatini			1042		5800		5210
46	159		Gambia				1015		5700		5075
47	169		South Sudan			983		5600		4915
48	172		Mauritius			965		5600		4825
49	177		Chad				943		5500		4715
50	181		São Tomé and Príncipe		923		5400		4615
51	184		Djibouti			919		5400		4595
52	196		Somalia				879		5200		4395
53	202		Seychelles			866		5200		4330
54	205		Eritrea				856		5200		4280
Asia - AFC (with Australia included)

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count	fifa rank	team			total points	average talent	nation's talent
1	28		Japan				1500		7500		7500
2	33		IR Iran				1489		7500		7445
3	40		Korea Republic			1464		7400		7320
4	42		Australia			1457		7400		7285
5	55		Qatar				1396		7200		6980
6	67		Saudi Arabia			1351		7000		6755
7	70		Iraq				1344		7000		6720
8	71		United Arab Emirates		1334		6900		6670
9	76		China PR			1323		6900		6615
10	79		Syria				1314		6800		6570
11	82		Oman				1303		6800		6515
12	85		Uzbekistan			1289		6800		6445
13	89		Lebanon				1269		6700		6345
14	94		Vietnam				1258		6600		6290
15	96		Kyrgyz Republic			1240		6600		6200
16	97		Jordan				1238		6600		6190
17	99		Bahrain				1225		6500		6125
18	103		Palestine			1204		6400		6020
19	108		India				1187		6400		5935
20	113		Thailand			1178		6300		5890
21	116		Korea DPR			1170		6300		5850
22	121		Tajikistan			1152		6200		5760
23	124		Philippines			1136		6200		5680
24	129		Turkmenistan			1107		6100		5535
25	136		Myanmar				1081		6000		5405
26	138		Chinese Taipei			1078		6000		5390
27	143		Hong Kong			1072		6000		5360
28	144		Yemen				1071		6000		5355
29	147		Kuwait				1060		5900		5300
30	149		Afghanistan			1052		5900		5260
31	154		Malaysia			1040		5800		5200
32	155		Maldives			1038		5800		5190
33	157		Singapore			1020		5800		5100
34	170		Nepal				974		5600		4870
35	173		Cambodia			964		5600		4820
36	173		Indonesia			964		5600		4820
37	182		Macau				922		5400		4610
38	187		Bangladesh			914		5400		4570
39	188		Laos				912		5400		4560
40	189		Bhutan				911		5400		4555
41	190		Mongolia			906		5300		4530
42	191		Brunei Darussalam		904		5300		4520
43	196		Timor-Leste			879		5200		4395
44	199		Guam				873		5200		4365
45	200		Pakistan			867		5200		4335
46	206		Sri Lanka			853		5100		4265
Oceania - OFC (without Australia but including the Cook Islands, which were dropped in 2019 for inactivity)

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count	fifa rank	team			total points	average talent	nation's talent
1	122		New Zealand			1149		6200		5745
2	141		Solomon Islands			1073		6000		5365
3	156		New Caledonia			1035		5800		5175
4	161		Tahiti				1014		5700		5070
5	163		Fiji				996		5700		4980
6	163		Vanuatu				996		5700		4980
7	165		Papua New Guinea		991		5700		4955
8			Cook Islands			908		5300		4540
9	192		American Samoa			900		5300		4500
10	194		Samoa				894		5300		4470
11	203		Tonga				862		5200		4310
Ok. So that's it. There are my proposed average talent values I'm choosing to use when I decide to build this thing. Now, I can see some people may resist this idea, especially if they consider some of the football associations' inner rankings of clubs or countries based upon league club results. To that I say that perhaps, those might be influenced by money, and if that is the case, then you aren't really getting the point and excitement to this game. Basically with bygfoot, you start off with very little, depending on which tier you may start off in. But the goal of the game is to win, right? Well, how do you win? You get rich. You build your team. You maybe even buy the best players to help your team win. And mostly when you think of it, it requires money. So, what's wrong with getting the best players from another team or country to helping you build your team into the best team? And if that's not enough for you, there is a thing called a names_file (?) that you can make up and basically assign an average talent value to specific teams, if you want, so that even if a league average talent isn't to your liking, at least your favorite team can be super duper good. :) But then too I think it might lessen the experience a little over time. Who knows.

But another reason for me to do it this way is because it allows continuity across all of the associations. Yes, we can do it another way and use a different measure for values, a different one for each association, but then when it comes to intercontinental tournaments, you'd have to do a random selection and value again, and really, is that what you'd want? Well, for me, I'm doing it this way or at least planning on doing it this way. It will take some time though as it can be extensive.

So with that in mind, do you have any comments on my idea here or feedback? Feel free to let me know. Until then, have fun.

will_the_canuck
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