falkao
Stalker
- Joined
- Oct 25, 2005
- Posts
- 1,993
- Location
- Italy
- Society
- Freelancer
- Avatar Name
- Marc falkao Falk
hunters joining the experiment so far:
----
One of the reasons why I’m analyzing loot is because information is missing. I do not understand why MA is not sharing the return rate for example. Nevertheless, there are ways to find that out but help is needed.
I started a while back in collecting Hogg data. I do have only limited time to play, so it took about 5 months to get a sample of 851 Hogg kills. I did share this data and its findings in my Loot thread. The intention of this thread was to show basic analysis techniques plus a glossary of statistical terms. I know the thread is hard to follow and understand if background is missing, but at least the main findings should be understood.
What are the open issues from my point of view.
Class weights
We have a basic understanding of loot classes. We know for example the distribution per class and can calculate expected loot given the mobs hp. However, this is not the full story yet. What is missing are class weights. We already know that class weights do reflect in some way the dmg a mob can do, but we have only limited data about it. So one of the next things is to understand from what those weights do depend. What data is needed?
I do already have a hogg young set. So I know the weights for hogg young. It would be very helpful to have a set on some 500 and 1000 HP mobs. Ambu, Drones or Feffs for example. It would be sufficient to know the number of killed mobs and the number of loot above base loot (HP/20 + 4*HP/10).
Validated Return rate
We have quite some good understanding about kill costs. Jimmy provided some excellent formulas. However, we don’t have datasets from different avas we can compare and validate our assumption. I know my personal return rate on Hoggs for example, but I’m not sure if another ava with same equipment and skills would get the same result. So we have to validate our findings otherwise it’s a simple finding. What data is needed?
Hunting set for a specific mob from different avas including total number of kills, total cost and total loot.
Hunting simulations
If we’re able to estimate the cost to kill with different equipment and do know expected loot, then we’re able to simulate different hunting strategies.
Data collection
Data can be collected by a single ava or a group of avas. To know class weights we only need a set of kills with respective loot. For some questions it would be irrelevant if 100 kills are collected by one ava, or 100 avas take note of only one kill they did. Especially with loot class weights this would be possible. This would facilitate data collection a lot. So I hope we find some volunteers.
Let me know what you do think about it?
Code:
m.Loot = mean Loot, m.Cost = mean Cost
Ava n m.Loot m.Cost Return Rate
Fairy 21 279 517 54.0%
Falk 20 417 464 89.8%
ForrestP 10 195 403 48.5%
Galadea 31 1197 463 258.5%
Janus 10 188 455 41.2%
Schaefer13 37 490 455 107.5%
Jez 49 404 491 82.4%
Total 178 523 472 110.8%
Code:
# Ava ID Loot Shots HP
1 Janus 1 211 51 1520
2 Janus 2 283 51 1520
3 Janus 3 85 51 1520
4 Janus 4 128 51 1520
5 Janus 5 385 51 1520
6 Janus 6 118 51 1520
7 Janus 7 177 51 1520
8 Janus 8 285 51 1520
9 Janus 9 232 51 1520
10 Janus 10 290 51 1520
11 Falk 1 239 17 1360
12 Falk 2 290 23 1360
13 Falk 3 124 18 1360
14 Falk 4 307 20 1360
15 Falk 5 202 21 1360
16 Falk 6 122 24 1360
17 Falk 7 3770 25 1360
18 Falk 8 378 25 1360
19 Falk 9 170 18 1360
20 Falk 10 523 22 1360
21 Falk 11 75 17 1360
22 Falk 12 266 19 1360
23 Falk 13 325 21 1360
24 Falk 14 129 17 1360
25 Falk 15 261 26 1360
26 Falk 16 396 21 1360
27 Falk 17 333 20 1360
28 Falk 18 69 23 1360
29 Falk 19 374 21 1360
30 Falk 20 370 28 1360
31 ForrestP 1 107 22 1336
32 ForrestP 2 265 22 1336
33 ForrestP 3 185 22 1336
34 ForrestP 4 118 24 1336
35 ForrestP 5 127 23 1336
36 ForrestP 6 323 24 1336
37 ForrestP 7 169 22 1336
38 ForrestP 8 117 21 1336
39 ForrestP 9 249 22 1336
40 ForrestP 10 348 23 1336
41 Galadea 1 168 33 1300
42 Galadea 2 275 34 1300
43 Galadea 3 268 37 1300
44 Galadea 4 11293 44 1300
45 Galadea 5 294 43 1300
46 Galadea 6 289 34 1300
47 Galadea 7 146 38 1300
48 Galadea 8 120 38 1300
49 Galadea 9 1713 40 1300
50 Galadea 10 245 31 1300
51 Galadea 11 269 36 1300
52 Galadea 12 111 29 1300
53 Galadea 13 194 32 1300
54 Galadea 14 181 29 1300
55 Galadea 15 170 30 1300
56 Galadea 16 318 29 1300
57 Galadea 17 209 43 1300
58 Galadea 18 272 27 1300
59 Galadea 19 273 38 1300
60 Galadea 20 185 30 1300
61 Galadea 21 205 39 1300
62 Galadea 22 200 31 1300
63 Galadea 23 116 34 1300
64 Galadea 24 174 31 1300
65 Galadea 25 115 38 1300
66 Galadea 26 323 28 1300
67 Galadea 27 210 41 1300
68 Galadea 28 286 34 1300
69 Galadea 29 417 33 1300
70 Galadea 30 132 38 1300
71 Galadea 31 17935 64 1300
72 Fairy 1 469 48 1430
73 Fairy 2 240 66 1430
74 Fairy 3 181 40 1430
75 Fairy 4 221 45 1430
76 Fairy 5 213 43 1430
77 Fairy 6 154 44 1430
78 Fairy 7 187 43 1430
79 Fairy 8 75 48 1430
80 Fairy 9 259 46 1430
81 Fairy 10 1633 41 1430
82 Fairy 11 182 38 1430
83 Fairy 12 222 37 1430
84 Fairy 13 344 37 1430
85 Fairy 14 275 37 1430
86 Fairy 15 134 44 1430
87 Fairy 16 284 39 1430
88 Fairy 17 274 39 1430
89 Fairy 18 359 32 1430
90 Fairy 19 178 32 1430
91 Fairy 20 274 38 1430
92 Fairy 21 285 35 1430
93 Sch13 1 188 21 1265
94 Sch13 2 187 17 1265
95 Sch13 3 108 20 1265
96 Schaefer13 4 227 20 1265
97 Schaefer13 5 255 27 1265
98 Schaefer13 6 173 18 1265
99 Schaefer13 7 439 26 1265
100 Schaefer13 8 119 20 1265
101 Schaefer13 9 166 20 1265
102 Schaefer13 10 561 23 1265
103 Schaefer13 11 228 18 1265
104 Schaefer13 12 407 25 1265
105 Schaefer13 13 244 21 1265
106 Schaefer13 14 255 24 1265
107 Schaefer13 15 110 22 1265
108 Schaefer13 16 245 18 1265
109 Schaefer13 17 121 23 1265
110 Schaefer13 18 215 19 1265
111 Schaefer13 19 312 21 1265
112 Schaefer13 20 111 20 1265
113 Schaefer13 21 109 19 1265
114 Schaefer13 22 349 25 1265
115 Schaefer13 23 113 24 1265
116 Schaefer13 24 127 22 1265
117 Schaefer13 25 183 21 1265
118 Schaefer13 26 350 19 1265
119 Schaefer13 27 219 18 1265
120 Schaefer13 28 123 22 1265
121 Sch13 29 225 25 1265
122 Sch13 30 165 19 1265
123 Sch13 31 6132 19 1265
124 Sch13 32 114 26 1265
125 Sch13 33 3632 29 1265
126 Sch13 34 359 24 1265
127 Sch13 35 116 26 1265
128 Sch13 36 266 24 1265
129 Sch13 37 386 22 1265
130 Jez 1 1742 26 1412
131 Jez 2 66 28 1412
132 Jez 3 376 30 1412
133 Jez 4 365 29 1412
134 Jez 5 328 28 1412
135 Jez 6 381 27 1412
136 Jez 7 245 27 1412
137 Jez 8 138 31 1412
138 Jez 9 1939 31 1412
139 Jez 10 178 25 1412
140 Jez 11 60 38 1412
141 Jez 12 138 28 1412
142 Jez 13 193 28 1412
143 Jez 14 286 28 1412
144 Jez 15 325 25 1412
145 Jez 16 257 26 1412
146 Jez 17 423 27 1412
147 Jez 18 74 26 1412
148 Jez 19 360 26 1412
149 Jez 20 249 26 1412
150 Jez 21 170 24 1412
151 Jez 22 3879 36 1412
152 Jez 23 144 36 1412
153 Jez 24 136 30 1412
154 Jez 25 75 31 1412
155 Jez 26 181 35 1412
156 Jez 27 114 30 1412
157 Jez 28 178 33 1412
158 Jez 29 276 43 1412
159 Jez 30 181 28 1412
160 Jez 31 324 24 1412
161 Jez 32 301 24 1412
162 Jez 33 235 26 1412
163 Jez 34 191 28 1412
164 Jez 35 351 29 1412
165 Jez 36 139 31 1412
166 Jez 37 196 32 1412
167 Jez 38 187 23 1412
168 Jez 39 116 25 1412
169 Jez 40 387 25 1412
170 Jez 41 338 25 1412
171 Jez 42 248 28 1412
172 Jez 43 191 29 1412
173 Jez 44 191 27 1412
174 Jez 45 174 24 1412
175 Jez 46 204 34 1412
176 Jez 47 355 27 1412
177 Jez 48 3687 30 1412
178 Jez 49 252 21 1412
----
One of the reasons why I’m analyzing loot is because information is missing. I do not understand why MA is not sharing the return rate for example. Nevertheless, there are ways to find that out but help is needed.
I started a while back in collecting Hogg data. I do have only limited time to play, so it took about 5 months to get a sample of 851 Hogg kills. I did share this data and its findings in my Loot thread. The intention of this thread was to show basic analysis techniques plus a glossary of statistical terms. I know the thread is hard to follow and understand if background is missing, but at least the main findings should be understood.
What are the open issues from my point of view.
Class weights
We have a basic understanding of loot classes. We know for example the distribution per class and can calculate expected loot given the mobs hp. However, this is not the full story yet. What is missing are class weights. We already know that class weights do reflect in some way the dmg a mob can do, but we have only limited data about it. So one of the next things is to understand from what those weights do depend. What data is needed?
I do already have a hogg young set. So I know the weights for hogg young. It would be very helpful to have a set on some 500 and 1000 HP mobs. Ambu, Drones or Feffs for example. It would be sufficient to know the number of killed mobs and the number of loot above base loot (HP/20 + 4*HP/10).
Validated Return rate
We have quite some good understanding about kill costs. Jimmy provided some excellent formulas. However, we don’t have datasets from different avas we can compare and validate our assumption. I know my personal return rate on Hoggs for example, but I’m not sure if another ava with same equipment and skills would get the same result. So we have to validate our findings otherwise it’s a simple finding. What data is needed?
Hunting set for a specific mob from different avas including total number of kills, total cost and total loot.
Hunting simulations
If we’re able to estimate the cost to kill with different equipment and do know expected loot, then we’re able to simulate different hunting strategies.
Data collection
Data can be collected by a single ava or a group of avas. To know class weights we only need a set of kills with respective loot. For some questions it would be irrelevant if 100 kills are collected by one ava, or 100 avas take note of only one kill they did. Especially with loot class weights this would be possible. This would facilitate data collection a lot. So I hope we find some volunteers.
Let me know what you do think about it?
Last edited: