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testing data - database CA levels/distribution
Posted: Sun Jul 21, 2019 5:23 pm
by nino33
In recent months I've been doing a lot of testing and posting the results; here's some looking at CA levels and distribution at startup, and for the first 10 years after startup (the data is taken from the day after the NHL Draft in June of each year).
Goaltenders CA, years 2018-2028 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | | total players |
| | | | | | | | | | |
startup | G | | 321 | 26 | | 100 | 48 | 2 | | 53341 |
2019 | G | | 346 | 28 | | 109 | 47 | 3 | | 40697 |
2020 | G | | 337 | 26 | | 103 | 51 | 5 | | 47138 |
2021 | G | | 336 | 33 | | 105 | 51 | 5 | | 50413 |
2022 | G | | 341 | 30 | | 109 | 52 | 5 | | 50597 |
2023 | G | | 333 | 32 | | 105 | 55 | 6 | | 50008 |
2024 | G | | 338 | 35 | | 105 | 54 | 7 | | 49485 |
2025 | G | | 340 | 34 | | 101 | 53 | 8 | | 47498 |
2026 | G | | 344 | 36 | | 98 | 54 | 6 | | 46817 |
2027 | G | | 339 | 34 | | 97 | 51 | 6 | | 48557 |
2028 | G | | 316 | 20 | | 99 | 40 | 5 | | 51074 |
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | | total players |
| | | | | | | | | | |
startup | G | | 307 | 32 | | 57 | 32 | 12 | | 96633 |
2019 | G | | 314 | 29 | | 47 | 27 | 11 | | 88911 |
2020 | G | | 309 | 28 | | 49 | 24 | 11 | | 91324 |
2021 | G | | 320 | 28 | | 56 | 22 | 11 | | 94139 |
2022 | G | | 313 | 26 | | 47 | 29 | 11 | | 94124 |
2023 | G | | 322 | 28 | | 48 | 29 | 10 | | 94090 |
2024 | G | | 338 | 29 | | 35 | 37 | 8 | | 94386 |
2025 | G | | 349 | 27 | | 25 | 40 | 9 | | 92236 |
2026 | G | | 356 | 31 | | 28 | 38 | 9 | | 91751 |
2027 | G | | 340 | 31 | | 23 | 44 | 6 | | 93079 |
2028 | G | | 340 | 33 | | 28 | 42 | 7 | | 93640 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 2:00 am
by nino33
Defensemen CA, years 2018-2028 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | |
| | | | | | | | | |
startup | D | | 1029 | 56 | | 331 | 98 | 4 | |
2019 | D | | 1035 | 70 | | 318 | 113 | 8 | |
2020 | D | | 1013 | 78 | | 300 | 128 | 8 | |
2021 | D | | 1037 | 80 | | 303 | 126 | 10 | |
2022 | D | | 1037 | 77 | | 311 | 123 | 9 | |
2023 | D | | 1041 | 83 | | 301 | 126 | 9 | |
2024 | D | | 1028 | 87 | | 300 | 129 | 9 | |
2025 | D | | 1019 | 86 | | 292 | 131 | 9 | |
2026 | D | | 1015 | 79 | | 283 | 134 | 6 | |
2027 | D | | 1005 | 78 | | 280 | 131 | 8 | |
2028 | D | | 975 | 101 | | 266 | 146 | 15 | |
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
startup | D | | 1642 | 111 | | 293 | 137 | 20 |
2019 | D | | 1618 | 120 | | 307 | 137 | 36 |
2020 | D | | 1495 | 126 | | 275 | 139 | 49 |
2021 | D | | 1435 | 128 | | 244 | 162 | 50 |
2022 | D | | 1385 | 142 | | 203 | 188 | 48 |
2023 | D | | 1368 | 155 | | 199 | 201 | 47 |
2024 | D | | 1318 | 171 | | 188 | 206 | 49 |
2025 | D | | 1290 | 174 | | 181 | 208 | 48 |
2026 | D | | 1284 | 173 | | 167 | 206 | 49 |
2027 | D | | 1265 | 178 | | 151 | 205 | 50 |
2028 | D | | 1217 | 181 | | 150 | 202 | 49 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 2:04 am
by nino33
Forwards CA, years 2018-2028 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
startup | F | | 1836 | 107 | | 613 | 155 | 9 |
2019 | F | | 1784 | 124 | | 561 | 180 | 19 |
2020 | F | | 1754 | 133 | | 508 | 216 | 24 |
2021 | F | | 1777 | 148 | | 495 | 236 | 26 |
2022 | F | | 1784 | 163 | | 479 | 245 | 25 |
2023 | F | | 1790 | 168 | | 477 | 249 | 27 |
2024 | F | | 1811 | 169 | | 481 | 250 | 26 |
2025 | F | | 1818 | 173 | | 487 | 248 | 30 |
2026 | F | | 1816 | 179 | | 491 | 249 | 34 |
2027 | F | | 1832 | 188 | | 506 | 242 | 37 |
2028 | F | | 1883 | 173 | | 503 | 246 | 37 |
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
startup | F | | 1583 | 139 | | 288 | 143 | 47 |
2019 | F | | 1577 | 144 | | 259 | 142 | 60 |
2020 | F | | 1637 | 157 | | 254 | 144 | 71 |
2021 | F | | 1725 | 161 | | 248 | 156 | 73 |
2022 | F | | 1770 | 167 | | 235 | 191 | 73 |
2023 | F | | 1803 | 175 | | 220 | 197 | 72 |
2024 | F | | 1840 | 190 | | 209 | 217 | 74 |
2025 | F | | 1862 | 205 | | 198 | 242 | 73 |
2026 | F | | 1869 | 206 | | 201 | 254 | 73 |
2027 | F | | 1903 | 222 | | 191 | 272 | 71 |
2028 | F | | 1942 | 237 | | 185 | 280 | 76 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 4:02 am
by nino33
Taking a look at the 2018-2028 CA data...
• For goalies with a 100-200 CA, TBL averages 336 per year (range 316-336) and ECK averages 328 per year (range 307-356). The per year numbers increase a small amount for TBL; the ECK increase is more noticeable (the ECK database started with fewer).
• For defensemen with a 100-200 CA, ECK averages 1392 per year (range 1217-1642) and TBL averages 1021 per year (range 975-1041). I was surprised to see the ECK average per year drop significantly as years passed (25% less in 2028 than in 2018).
• For forwards with a 100-200 CA, TBL averages 1808 per year (range 1754-1883) and ECK averages 1774 per year (range 1577-1942). As the years pass ECK sees significant growth (23% more in 2028 compared to 2018).
• For goalies with a 150-200 CA, TBL averages 30 per year (range 20-36) and ECK averages 29 per year (range 26-33).
• For defensemen with a 150-200 CA, ECK averages 151 per year (range 111-181) and TBL averages 80 per year (range 56-101). When comparing TBL/ECK, there is a significant difference in the number of 150-200 CA defensemen, with ECK having close to double the amount. From 2018 to 2018 both ECK and TBL see significant growth in 150-200 CA defensemen.
• For forwards with a 150-200 CA, ECK averages 182 per year (range 139-237) and TBL averages 157 per year (range 107-188). Both databases see substantial increases in 150-200 CA forwards from 2018 to 2028.
• For goalies with a 170-200 CA, ECK averages 10 per year (range 6-12) and TBL averages 5 per year (range 2-8). I was surprised to see the ECK database see an almost 50% drop from 2018 to 2028 (TBL is at our above its average for all but startup and 2019, while ECK was below its average 2024-2028)
• For defensemen with a 170-200 CA, ECK averages 45 per year (range 20-50) and TBL averages 9 per year (range 4-15). Both databases start with far fewer than their 2018-2028 average; the ECK database has a lot more 170-200 CA defensemen per year than the TBL database (averaging 500% more).
• For forwards with a 170-200 CA, ECK averages 69 (range 47-76) per year and TBL averages 27 per year (range 9-37). The ECK database averages 255% more 170-200 CA forwards per year.
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 4:56 am
by nino33
The above is looking at CA levels and distribution at startup, and for the first 10 years after startup.
The following data is from twenty to thirty years later: for the TBL database 2039-2049, and for the ECK database 2039-2048
Goaltenders CA, years 2039-2049 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | | total players |
| | | | | | | | | | |
2039 | G | | 320 | 36 | | 82 | 53 | 5 | | 52873 |
2040 | G | | 337 | 35 | | 78 | 54 | 5 | | 52083 |
2041 | G | | 340 | 34 | | 74 | 53 | 6 | | 52810 |
2042 | G | | 331 | 32 | | 86 | 55 | 6 | | 54283 |
2043 | G | | 321 | 35 | | 87 | 55 | 7 | | 54282 |
2044 | G | | 329 | 34 | | 82 | 57 | 7 | | 54282 |
2045 | G | | 323 | 31 | | 77 | 53 | 7 | | 54282 |
2046 | G | | 314 | 29 | | 78 | 50 | 7 | | 54282 |
2047 | G | | 316 | 31 | | 84 | 47 | 6 | | 54282 |
2048 | G | | 320 | 28 | | 83 | 47 | 7 | | 54282 |
2049 | G | | 319 | 30 | | 83 | 46 | 7 | | 54282 |
Goaltenders CA, years 2039-2048 ingame
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | | total players |
| | | | | | | | | | |
2039 | G | | 389 | 58 | | 30 | 57 | 21 | | 94752 |
2040 | G | | 390 | 58 | | 35 | 53 | 24 | | 93184 |
2041 | G | | 393 | 59 | | 37 | 56 | 27 | | 94172 |
2042 | G | | 388 | 62 | | 37 | 65 | 24 | | 94901 |
2043 | G | | 387 | 70 | | 29 | 74 | 23 | | 95311 |
2044 | G | | 374 | 77 | | 26 | 79 | 22 | | 94903 |
2045 | G | | 375 | 76 | | 24 | 86 | 23 | | 93772 |
2046 | G | | 366 | 75 | | 21 | 79 | 24 | | 94620 |
2047 | G | | 373 | 76 | | 21 | 80 | 22 | | 94674 |
2048 | G | | 380 | 77 | | 23 | 80 | 21 | | 95393 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 5:00 am
by nino33
Defensemen CA, years 2039-2049 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 | |
| | | | | | | | | |
2039 | D | | 1027 | 102 | | 282 | 141 | 22 | |
2040 | D | | 1017 | 100 | | 279 | 139 | 22 | |
2041 | D | | 1024 | 102 | | 279 | 142 | 21 | |
2042 | D | | 1018 | 91 | | 276 | 139 | 19 | |
2043 | D | | 1022 | 93 | | 271 | 146 | 18 | |
2044 | D | | 1008 | 92 | | 266 | 147 | 17 | |
2045 | D | | 997 | 91 | | 280 | 144 | 17 | |
2046 | D | | 1014 | 91 | | 269 | 148 | 16 | |
2047 | D | | 1014 | 93 | | 272 | 150 | 17 | |
2048 | D | | 1001 | 93 | | 267 | 146 | 19 | |
2049 | D | | 993 | 98 | | 259 | 149 | 17 | |
Defensemen CA, years 2039-2048 ingame
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
2039 | D | | 1237 | 173 | | 77 | 192 | 61 |
2040 | D | | 1246 | 175 | | 82 | 203 | 55 |
2041 | D | | 1235 | 194 | | 80 | 195 | 69 |
2042 | D | | 1218 | 198 | | 69 | 215 | 59 |
2043 | D | | 1217 | 193 | | 67 | 213 | 62 |
2044 | D | | 1190 | 204 | | 62 | 207 | 67 |
2045 | D | | 1183 | 200 | | 54 | 215 | 69 |
2046 | D | | 1199 | 206 | | 49 | 214 | 75 |
2047 | D | | 1196 | 214 | | 46 | 207 | 76 |
2048 | D | | 1203 | 219 | | 52 | 213 | 74 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 5:46 am
by nino33
Forwards CA, years 2039-2049 ingame
TBL 11.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
2039 | F | | 1834 | 159 | | 507 | 227 | 39 |
2040 | F | | 1828 | 164 | | 515 | 232 | 38 |
2041 | F | | 1818 | 159 | | 515 | 231 | 39 |
2042 | F | | 1837 | 173 | | 508 | 234 | 39 |
2043 | F | | 1843 | 164 | | 507 | 236 | 35 |
2044 | F | | 1850 | 166 | | 510 | 241 | 35 |
2045 | F | | 1867 | 164 | | 500 | 249 | 35 |
2046 | F | | 1859 | 171 | | 504 | 254 | 36 |
2047 | F | | 1856 | 173 | | 488 | 265 | 33 |
2048 | F | | 1865 | 180 | | 498 | 263 | 32 |
2049 | F | | 1874 | 176 | | 506 | 260 | 35 |
Forwards CA, years 2039-2048 ingame
ECK 3.2
ingame Year | POS | | 100-200 | 150-200 | | 120-139 | 140-169 | 170-200 |
| | | | | | | | |
2039 | F | | 1926 | 284 | | 170 | 319 | 92 |
2040 | F | | 1917 | 291 | | 156 | 315 | 95 |
2041 | F | | 1930 | 287 | | 148 | 319 | 91 |
2042 | F | | 1948 | 281 | | 135 | 324 | 94 |
2043 | F | | 1962 | 282 | | 123 | 332 | 95 |
2044 | F | | 1975 | 277 | | 112 | 353 | 93 |
2045 | F | | 2000 | 291 | | 118 | 342 | 95 |
2046 | F | | 1993 | 291 | | 118 | 350 | 93 |
2047 | F | | 1988 | 290 | | 120 | 355 | 93 |
2048 | F | | 2002 | 289 | | 107 | 362 | 94 |
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 6:36 pm
by nino33
Below I have copy/pasted my earlier summary of the 2018-2028 data in black font & added a 2039-2048 data summary in blue font.
The 2049 year testing data I have for TBL but not for ECK, so I used 2048 as the final year for both below.
Taking a look at the 2018-2028 CA data...
Taking a look at the 2039-2048 data...
• For goalies with a 100-200 CA, TBL averages 336 per year (range 316-336) and ECK averages 328 per year (range 307-356). The per year numbers increase a small amount for TBL; the ECK increase is more noticeable (the ECK database started with fewer).
• For goalies with a 100-200 CA, TBL averages 325 per year (range 314-340) and ECK averages 381 per year (range 366-393); TBL has seen a 3% reduction and ECK has seen a 14% increase.
• For defensemen with a 100-200 CA, ECK averages 1392 per year (range 1217-1642) and TBL averages 1021 per year (range 975-1041). I was surprised to see the ECK average per year drop significantly as years passed (25% less in 2028 than in 2018).
• For defensemen with a 100-200 CA, ECK averages 1212 per ear (range 1183-1246) and TBL averages 1014 per year (range 997-1027); TBL has essentially remained the same (1% reduction), and ECK has seen a 13% reduction (this is surprising).
• After being much higher in the initial years the total 100-200 CA defensemen for ECK in the final years of the 2018-2028 testing was 1284, 1265, and 1217 (similar to 2039-2048 range)...from startup it was two years of 1600s, two years of 1400s, three years of 1300s, and then seemingly settling into the 1200s. I didn't compile the data covering 2028-2039. I wonder if it stayed in the 1200s between 2028 and 2039? Or maybe during that time it worked its way up into the 1600s and then back down into the 1200s again?
• For forwards with a 100-200 CA, TBL averages 1808 per year (range 1754-1883) and ECK averages 1774 per year (range 1577-1942). As the years pass ECK sees significant growth (23% more in 2028 compared to 2018).
• For forwards with a 100-200 CA, ECK averages 1964 per year (range 1917-2002) and TBL averages 1846 (range 1818-1867). TBL has seen a 2% decrease, while ECK has seen a 10% increase.
• After starting much lower and growing substantially in the initial years, the total 100-200 CA forwards for ECK in the final years of the 2018-2028 testing was 1869, 1903, and 1942 (closer to the 2039-2048 range of 1917-2002, than the 2018-2018 average of 1774).
testing data - database CA levels/distribution
Posted: Tue Jul 23, 2019 8:24 pm
by nino33
• For goalies with a 150-200 CA, TBL averages 30 per year (range 20-36) and ECK averages 29 per year (range 26-33).
• For goalies with a 150-200 CA, ECK averages 69 (range 58-77) and TBL averages 33 (range 28-36). TBL sees a 10% increase and ECK sees a huge 138% increase; previously the two databases had similar numbers of 150-200 CA goaltenders, and now ECK averages more than double TBL.
• For defensemen with a 150-200 CA, ECK averages 151 per year (range 111-181) and TBL averages 80 per year (range 56-101). When comparing TBL/ECK, there is a significant difference in the number of 150-200 CA defensemen, with ECK having close to double the amount. From 2018 to 2018 both ECK and TBL see significant growth in 150-200 CA defensemen.
• For defensemen with a 150-200 CA, ECK averages 198 per year (range 173-219) and TBL averages 95 per year (range 91-102); ECK has seen a 31% increase, while TBL has seen a 19% increase. There continues to be a significant difference between the databases in regards to average number of 150-200 CA defensemen, with ECK going from close to double to over double.
• For forwards with a 150-200 CA, ECK averages 182 per year (range 139-237) and TBL averages 157 per year (range 107-188). Both databases see substantial increases in 150-200 CA forwards from 2018 to 2028.
• For forwards with a 150-200 CA, ECK averages 286 per year (range 277-291) and TBL averages 167 per year (range 159-180). Between 2018-2018 both databases saw substantial increases in 150-200 CA forwards, and that pattern of increase has continued (in particular for the ECK database). TBL has seen a 6% increase while ECK has seen a 57% increase.
testing data - database CA levels/distribution
Posted: Wed Jul 24, 2019 8:57 pm
by nino33
• For goalies with a 170-200 CA, ECK averages 10 per year (range 6-12) and TBL averages 5 per year (range 2-8). I was surprised to see the ECK database see an almost 50% drop from 2018 to 2028 (TBL is at our above its average for all but startup and 2019, while ECK was below its average 2024-2028)
• For goalies with a 170-200 CA, ECK averages 23 per year (range 21-27) and TBL averages 6 per year (range 5-7); TBL sees a 20% increase (though not much real change, going from averaging 5 to averaging 6). ECK sees a 130% increase in average per year (going from 10 to 23 per year).
• For defensemen with a 170-200 CA, ECK averages 45 per year (range 20-50) and TBL averages 9 per year (range 4-15). Both databases start with far fewer than their 2018-2028 average; the ECK database has a lot more 170-200 CA defensemen per year than the TBL database (averaging 500% more).
• For defensemen with a 170-200 CA, ECK averages 67 per year (range 55-76) and TBL averages 19 per year (range 5-7); ECK saw a 49% increase (from 45 to 67) and TBL more than doubled (from 9 to 19)
• For defensemen with a 190-200 CA, ECK averages 5 per year (range 3-7), TBL had none.
• For forwards with a 170-200 CA, ECK averages 69 (range 47-76) per year and TBL averages 27 per year (range 9-37). The ECK database averages 255% more 170-200 CA forwards per year.
• For forwards with a 170-200 CA, ECK averages 94 per year (range 91-95) and TBL averages 36 per year (range 32-39); ECK saw a 36% increase and TBL saw a 26% increase.
• For forwards with a 190-200 CA, ECK averages 11 per year (range 6-14) and TBL averages 3 per year (range 2-5).
testing data - database CA levels/distribution
Posted: Tue Jul 30, 2019 5:52 pm
by KevT90
Hasn't there been multiple reports and complaints that the game could not generate high end CA players with its regen, when the pool of created prospects ran out ? Not sure if the ECK database used here is the one with the prospects generator, but even the TBL db appears to generate very similar numbers of high CA 30 years after its startup date.
testing data - database CA levels/distribution
Posted: Tue Jul 30, 2019 8:30 pm
by nino33
kev90 wrote: Tue Jul 30, 2019 5:52 pm
Hasn't there been multiple reports and complaints that the game could not generate high end CA players with it's regen, when the pool of created prospects ran out ? Not sure if the ECK database used here is the one with the prospects generator, but even the TBL db appears to generate very similar numbers of high CA 30 years after its startup date.
Yes there have been such complaints (and this data doesn't really support such complaints).
And yes the ECK 3.2 database uses the prospect generator.
I think what people see is the AI using the full 1-20 range for Attributes for higher CA players (when human researchers/editors don't); it was discussed a bit here on July 16th
https://www.ehmtheblueline.com/forums/v ... &start=525
This AI use of lower Attribute values is clearly visible here, where the "lowest to highest range" is given for each Attribute at startup and 30 years later
https://www.ehmtheblueline.com/forums/v ... 10&t=20236 (interestingly, this data also shows the AI uses the 16-20 range more often than human researchers/editors)
I think some (a lot? almost all?) of the complaints are based on users seeing the AI produced players who have high CA/PA levels but will have significant flaws/weaknesses (very low Attribute values that human researchers don't use).....and if it's one of the Attributes that never changes in game or one that changes very little, then it'll never raise up to a reasonable level regardless of how much practice/training is given or how successful the player is ingame
Here's some examples of the Attribute range differences from the TBL database testing (looking at the top 372 NHL forwards by CA)
- at startup the range for Work Rate is 9-20, and thirty years later the AI range is 2-20
- at startup the range for Determination is 9-20, and thirty years later the AI range is 1-20
- at startup the range for Anticipation is 7-20, and thirty years later the AI range is 1-20
- other Attributes where the human researcher never went below 6 or 7, and the AI uses the full range (as low as a 1)...Loyalty, Pressure, Bravery, Flair, Important Matches, Pass Tendency and Vision
AND...I think the other thing that connects to people feeling this way is the AI will never produce NHL ready "star" teenagers.
The top CA range for 19 year olds for the AI is in the high 120s/low 130s.
For human researchers such players can be in the 150s/160s (which makes sense given how high the NHL average CA is...and as the game progresses this average CA only gets higher, which only makes the not ready for the NHL youngsters stand out more).
Another factor IMO...the old (pre 2015 EHM) ratings guidelines used 100-200 for the NHL CA range, as shown below, taken from here
https://ehmtheblueline.com/wiki/index.p ... s_guidance
1st liner - 170
1st/2nd liner - 160
2nd liner - 150
2nd/3rd liner - 140
3rd liner- 130
3rd/4th liner - 120
4th liner - 110
4th liner/AHL - 100
AHL - 90
With such rating ranges a teenage high 120s/low 130s CA player (with a good number of really high Attributes already) maybe wouldn't seem as out of place given 100 CA is the low range
In TBL at startup the top 372 forwards have an average CA of 141.5 (with 126 being the lowest). With ECK it's a 148.7 average CA at startup (lowest 128). And thirty years later the average CA with TBL has risen to 146.8 (still 126 as lowest); with ECK it's risen 156.5 (lowest rises to 135).
Given that EHM used to see the NHL as using half the available CA/PA range (100-200), maybe the "better than 07 but still not a new game" EHM on Steam version might be struggling a bit with trying to have the NHL use less of the 100-200 range
And there's also another piece of the puzzle...it looks like the game (in an effort to address the initial lack of prospect talent complaints) dumps a lot of high PA players over just a few years in the early years of the game, and this really affects user perceptions.
From my my second post in this Reddit thread
https://www.reddit.com/r/EHM/comments/c ... _about_pa/
Here's the 170-200 PA players in the TBL database (so roughly the 2023-2027 NHL Drafts), with all possible players added at startup
2005 YOB - 0 G, 4 D, 6 F
2006 YOB - 0 G, 1 D, 1 F
2007 YOB - 0 G, 1 D, 3 F
2008 YOB - 1 G, 1 D, 3 F
2009 YOB - 0 G, 1 D, 1 F
So a range of 2-10 170-200 PA players per year.
The four years previous years (YOB 2001-2004, the 2019-2022 NHL Drafts) had 20, 34, 65 and 60 players 170-200 PA players.
From an average of almost 50 170-200 PA players per year for the first half decade of drafts to an average of under 5 players with a 170-200 PA.
At startup, looking at all players age 19-33, the TBL database has only 58 170-200 PA players.
Should draft classes (YOB) have more 170-200 PA players than all NHLers age 19-33?
As noted in the Reddit thread, as it occurs with both the TBL and the ECK databases, I'm thinking the significant influx of high PA players for the initial drafts is likely game created (it's likely the game creating the years of too many 170-200 PA players).
testing data - database CA levels/distribution
Posted: Wed Jul 31, 2019 12:17 pm
by TurboJ
Here's some examples of the Attribute range differences from the TBL database testing (looking at the top 372 NHL forwards by CA)
at startup the range for Work Rate is 9-20, and thirty years later the AI range is 2-20
at startup the range for Determination is 9-20, and thirty years later the AI range is 1-20
at startup the range for Anticipation is 7-20, and thirty years later the AI range is 1-20
other Attributes where the human researcher never went below 6 or 7, and the AI uses the full range (as low as a 1)...Loyalty, Pressure, Bravery, Flair, Important Matches, Pass Tendency and Vision
This. So good that you have gone through all this trouble testing the player pools developing. I have been reading this topic and I've been wondering how the player quality seems to dive after the first 4-5 years after seeing your data.
But what you say on this quote makes perfect sense. It's completely possible that many future star players get "hidden away" because they won't get drafted because of having such big, important weaknesses. Or they bust in the NHL because of them. If their initial stint in the NHL is particularly weak (because of having some of these very low important attributes), they may drop out of the NHL and stop developing because of the "star with lost motivation" effect if they play on an average league throughout their youth.
I've seen many decent prospects decline and even retire before reaching 27 years of age while having been 1st round candidates. Most of these players seem to either have very low atts on some important areas, or just be extremely one-dimensional. So the players might technically get to high CA, but they won't have useful atts and so they never really make it despite having "20" on many atts.
Example; I've seen players who have all green atts, many light greens, but then they have like 3 determination, or 4 work rate. Or similar level of anticipation, off the puck etc. And their performance typically equals that. Not to even mention the hidden stats which could theoretically have an even higher effect if disproportionetly bad.
One thing I seem to notice is that at least with the TBL rosters, there still aren't enough top level goalies generated, even with the data shown. Even if there are high-PA gaolies out there, somehow they don't end up being NHL level, or they bust badly while there. Very likely due to the effect you described.
I've been using the prospect generator with the TBL roster and IMHO it does make the drafts more realistic - at least more similar to the first years of gameplay. And the possibility of getting "top 5 drafted" players that are actually at their PA when 17 years of age adds to that realism, as that's exactly how real life draft busts happen - by means of the player not developing any further despite being super good for their age.
But again, thank you so much for all this data and your comments on them!!
testing data - database CA levels/distribution
Posted: Wed Jul 31, 2019 5:26 pm
by nino33
Thanks much for the kind words! Much appreciated

testing data - database CA levels/distribution
Posted: Thu Aug 01, 2019 6:08 am
by nino33
TurboJ wrote: Wed Jul 31, 2019 12:17 pm
I've been using the prospect generator with the TBL roster and IMHO it does make the drafts more realistic - at least more similar to the first years of gameplay. And the possibility of getting "top 5 drafted" players that are actually at their PA when 17 years of age adds to that realism, as that's exactly how real life draft busts happen - by means of the player not developing any further despite being super good for their age.
I know of the prospect generator but have never used it or looked into it at all.....does it give players a starting CA? Any Attributes? Or does the game AI determine starting CA and Attribute values?
I would think if a prospect generator is used to create players "right from startup" & Do Not Add Players is selected at startup, maybe the couple/few years of way to many high PA players could be avoided too.
Databases typically have 17 year olds pretty well covered (the players who will be drafted into the NHL at the end of the first season in play).
So I suspect "right from startup" would probably mean players age 16 and younger in most cases (ideally determine what's in the DB by Birth Year and then as needed adjust desired amounts of players at different PA levels for those first couple/few years)
P.S. With my 1974 DB project I'll be looking into this issue further myself, later this year I hope (I don't need the prospect generator HaHa but I do hope to avoid the problem of NHL level players having some "way to low" Attributes, and I do have some ideas on how to do so)
testing data - database CA levels/distribution
Posted: Thu Aug 01, 2019 1:00 pm
by TurboJ
^^^
I really don't know the specifics of the prospect generator. It would be nice if I did. It does some things very well so with that knowledge we could enhance the future databases maybe. BTW, looking forward to your 1974 database! Do you plan to include draft prospects into the '80s with that DB?
testing data - database CA levels/distribution
Posted: Thu Aug 01, 2019 5:56 pm
by nino33
TurboJ wrote: Thu Aug 01, 2019 1:00 pm
BTW, looking forward to your 1974 database! Do you plan to include draft prospects into the '80s with that DB?
Yes! The plan is to have prospects right up to the current time

testing data - database CA levels/distribution
Posted: Thu Aug 01, 2019 8:41 pm
by Smirnov2Chistov
Thank you again Nino for your data dissection!
I've always said that prospect development is always a double-edge sword. I've seen posters complain that regarding EHM07, prospect developing was always something that was 'too accelerated' and would be unrealistic. With the modern version of EHM, player development seems more streamlined and 'accurate' in my eyes. I tend to look at this game like real life modern hockey. There are drafts that produce high quality talent, and then there are drafts where prospects are not as strong in depth and quality.
In my saves, unless the player had unbelievable potential, I always had let them season a year or two within their respective junior leagues and then would make my decision from there. I'll have to look back at some prospects who were drafted first and see how well they have 'jumped'.
Nino, as always, huge thanks for everything you do!

testing data - database CA levels/distribution
Posted: Thu Aug 01, 2019 10:41 pm
by nino33
Smirnov2Chistov wrote: Thu Aug 01, 2019 8:41 pm
Nino, as always, huge thanks for everything you do!
Thank you very, very much!
We share similar views on the game, and on how we play
