| Name | Recent average credit | Country | |
|---|---|---|---|
| 61) roundup |
9,498,078 | 0.09 | Switzerland |
| 62) axels |
3,689,670 | 0.09 | Germany |
| 63) ID4 |
2,018,029 | 0.09 | |
| 64) Flaeminger |
173,506 | 0.09 | Germany |
| 65) [SG-FC] hl |
12,785,258 | 0.09 | Germany |
| 66) Friedhelm Baumeister |
1,144,338 | 0.09 | Germany |
| 67) Hoshione |
1,118,827 | 0.09 | Germany |
| 68) Firecooler |
33,280 | 0.09 | Germany |
| 69) Gaucho |
378,560 | 0.09 | International |
| 70) [SG]FX |
1,033,240 | 0.09 | Germany |
| 71) JayPi2 |
15,350 | 0.09 | |
| 72) ber7 |
55,900 | 0.09 | Germany |
| 73) Matthias |
171,165 | 0.09 | Germany |
| 74) -jb- |
83,317 | 0.09 | |
| 75) Dennis-TW |
3,196,942 | 0.09 | Taiwan |
| 76) tom7up |
26,885 | 0.09 | |
| 77) Fornax |
1,220,032 | 0.09 | |
| 78) MarvinS |
33,540 | 0.09 | Germany |
| 79) newman |
1,305,656 | 0.09 | Germany |
| 80) Yello | 7,935 | 0.09 | Germany |
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)