ABCDEHIJZAAACADAEAFAIAJAKAMANAPAUAVAWAXAYAZ
1
Prod Module10.0%
Many target recipes cannot use Productivity, e.g. Modules
2
Prod Research0%
This table estimates the Legendary Chance based on an Ingredient Quality loop
3
Quality Module2.5%
All colors are resulting quality
This assumes ingredient quality loops using the same machine (with prod)
4
Recycler Return25%
Highlight = Best per Machine and Target Quality (Column)
(doing the math exactly is more complicated and specific to each recipe)
5
OutputTarget Quality / Only recycle < [Quality]
Highlight = Best per Machine overall
6
CraftingModule CountEffectiveBase
Recycle Loop
>= Uncommon>= Rare>= Epic>= Legendary
Second (no-prod) Layer Legendary Chance using
7
IDTypeInputProdQualityProdQualityQualityQualityGainUncommonRareEpicLegendaryRareEpicLegendaryEpicLegendaryLegendary>= Normal>= Uncommon>= Rare>= Epic>= Legendary
8
1Furnance (2)12020.0%0.0%0.0%4.93%0%4.36%0.52%0.05%0.005%0.55%0.34%0.04%0.35%0.07%0.10%0.21%0.04%0.07%0.10%0.10%
9
2Furnance (2)11110.0%2.5%2.8%7.51%173%6.62%0.81%0.08%0.008%0.89%0.49%0.05%0.50%0.11%0.15%0.21%0.06%0.10%0.15%0.15%
10
3Furnance (2)1020.0%5.0%5.0%9.38%88%8.24%1.03%0.10%0.010%1.16%0.56%0.06%0.58%0.13%0.17%0.20%0.08%0.12%0.17%0.17%
11
4Chem/Oil (3)13030.0%0.0%0.0%5.97%0%5.27%0.63%0.06%0.006%0.69%0.45%0.05%0.45%0.10%0.14%0.31%0.06%0.11%0.15%0.14%
12
5Chem/Oil (3)12120.0%2.5%3.0%8.84%195%7.77%0.96%0.10%0.010%1.08%0.62%0.07%0.63%0.14%0.20%0.31%0.10%0.15%0.21%0.20%
13
6Chem/Oil (3)11210.0%5.0%5.5%10.95%99%9.60%1.21%0.12%0.012%1.39%0.71%0.08%0.74%0.16%0.23%0.31%0.12%0.18%0.24%0.23%
14
7Chem/Oil (3)1030.0%7.5%7.5%12.39%65%10.85%1.39%0.14%0.014%1.62%0.74%0.08%0.78%0.17%0.24%0.30%0.14%0.19%0.26%0.24%
15
8Assembler (4)14040.0%0.0%0.0%7.15%0%6.30%0.77%0.08%0.008%0.84%0.57%0.06%0.58%0.13%0.19%0.43%0.10%0.16%0.21%0.19%
16
9Assembler (4)13130.0%2.5%3.3%10.31%217%9.05%1.14%0.11%0.011%1.29%0.77%0.08%0.79%0.18%0.26%0.43%0.14%0.21%0.28%0.26%
17
10Assembler (4)12220.0%5.0%6.0%12.67%111%11.09%1.43%0.14%0.014%1.66%0.89%0.10%0.92%0.21%0.30%0.43%0.17%0.25%0.33%0.30%
18
11Assembler (4)11310.0%7.5%8.3%14.33%74%12.51%1.64%0.16%0.016%1.94%0.93%0.10%0.98%0.22%0.31%0.42%0.20%0.27%0.35%0.31%
19
12Assembler (4)1040.0%10.0%10.0%15.36%54%13.39%1.77%0.18%0.018%2.11%0.92%0.10%0.98%0.22%0.31%0.41%0.21%0.27%0.35%0.31%
20
8Foundry (4)14090.0%0.0%0.0%15.76%0%13.74%1.82%0.18%0.018%2.18%1.64%0.18%1.70%0.41%0.66%2.03%0.52%0.69%0.83%0.66%
21
9Foundry (4)13180.0%2.5%4.5%20.49%355%17.75%2.47%0.25%0.025%3.07%2.03%0.22%2.13%0.53%0.85%2.02%0.68%0.87%1.06%0.85%
22
10Foundry (4)12270.0%5.0%8.5%24.13%184%20.81%3.00%0.30%0.030%3.82%2.27%0.25%2.43%0.61%0.98%1.99%0.81%1.00%1.21%0.98%
23
11Foundry (4)11360.0%7.5%12.0%26.87%124%23.08%3.41%0.34%0.034%4.43%2.40%0.26%2.60%0.66%1.05%1.96%0.90%1.07%1.30%1.05%
24
12Foundry (4)10450.0%10.0%15.0%28.82%92%24.69%3.71%0.37%0.037%4.88%2.44%0.27%2.67%0.68%1.07%1.92%0.97%1.11%1.33%1.07%
25
13EMP (5)150100.0%0.0%0.0%18.18%0%15.80%2.15%0.21%0.021%2.62%1.98%0.22%2.06%0.51%0.84%2.63%0.71%0.94%1.10%0.84%
26
14EMP (5)14190.0%2.5%4.8%23.23%389%20.06%2.86%0.29%0.029%3.63%2.41%0.26%2.55%0.65%1.06%2.61%0.92%1.17%1.38%1.06%
27
15EMP (5)13280.0%5.0%9.0%27.14%202%23.31%3.45%0.34%0.034%4.49%2.69%0.29%2.89%0.75%1.21%2.58%1.08%1.33%1.57%1.21%
28
16EMP (5)12370.0%7.5%12.8%30.07%136%25.73%3.91%0.39%0.039%5.18%2.83%0.31%3.09%0.80%1.30%2.54%1.20%1.43%1.68%1.30%
29
17EMP (5)11460.0%10.0%16.0%32.19%101%27.47%4.26%0.43%0.043%5.70%2.88%0.32%3.18%0.82%1.33%2.49%1.29%1.48%1.73%1.33%
30
18EMP (5)10550.0%12.5%18.8%33.59%79%28.61%4.49%0.45%0.045%6.05%2.84%0.31%3.17%0.82%1.31%2.43%1.35%1.49%1.73%1.31%
31
19Cryo (8)18080.0%0.0%0.0%13.61%0%12.07%1.39%0.14%0.015%1.67%1.35%0.15%1.39%0.32%0.51%1.13%0.33%0.54%0.64%0.51%
32
20Cryo (8)17170.0%2.5%4.3%18.01%324%15.65%2.13%0.21%0.021%2.59%1.70%0.19%1.77%0.43%0.68%1.14%0.45%0.69%0.84%0.68%
33
21Cryo (8)16260.0%5.0%8.0%21.40%167%18.51%2.60%0.26%0.026%3.25%1.91%0.21%2.03%0.50%0.78%1.14%0.54%0.79%0.97%0.78%
34
22Cryo (8)15350.0%7.5%11.3%23.92%113%20.63%2.96%0.30%0.030%3.78%2.02%0.22%2.17%0.54%0.84%1.14%0.60%0.85%1.04%0.84%
35
23Cryo (8)14440.0%10.0%14.0%25.69%84%22.11%3.23%0.32%0.032%4.16%2.05%0.22%2.23%0.55%0.85%1.12%0.65%0.88%1.06%0.85%
36
24Cryo (8)13530.0%12.5%16.3%26.81%65%23.03%3.40%0.34%0.034%4.41%2.01%0.22%2.21%0.54%0.83%1.10%0.68%0.88%1.05%0.83%
37
25Cryo (8)12620.0%15.0%18.0%27.33%52%23.47%3.48%0.35%0.035%4.53%1.92%0.21%2.12%0.51%0.78%1.06%0.70%0.85%1.00%0.78%
38
26Cryo (8)11710.0%17.5%19.3%27.33%42%23.46%3.48%0.35%0.035%4.53%1.79%0.19%1.99%0.47%0.71%1.02%0.70%0.81%0.93%0.71%
39
27Cryo (8)1080.0%20.0%20.0%26.83%34%23.05%3.40%0.34%0.034%4.42%1.63%0.18%1.82%0.42%0.63%0.97%0.68%0.75%0.84%0.63%
40
28Recycler1-750%4-75.0%10.0%2.5%2.78%11%2.46%0.29%0.03%0.003%0.30%0.06%0.01%0.06%0.01%0.01%0.02%0.01%0.01%0.01%0.01%
41
28Recycler1-300%4-75.0%24.8%6.2%6.73%9%5.93%0.72%0.07%0.007%0.79%0.15%0.02%0.16%0.03%0.03%0.03%0.03%0.03%0.04%0.03%
42
0.00%0%
88
How to read this table part:
89
Identify the best probability in the table
90
The column determines the minimum ingredient quality
91
The row determines the module setup for the ingredient loop
92
(since the target recipe cannot use productivity, so it uses quality unless already legendary)
93
94
This is the chance of a legendary target item that cannot use prod modules
95
To build this, you need quality loops for all ingredients, see the left table part
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145