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6 1 Carl Zeiss Jena Biotar 58 mm f/ 2 used:
| Name | Full name | Place | Scores | Rank | |
|---|---|---|---|---|---|
| 1 | igold7 | 172.8 | lvl.2 (Lens-Adept) | ||
| 2 | serzot | Sergey | Nizhny Novgorod | 333.551 | lvl.3 (Lens-Competent) |
| 3 | evlamp | Dmitry | Moscow | 6 | lvl.1 (Lens-Learner) |
| 4 | var | 28 | lvl.1 (Lens-Learner) | ||
| 5 | aptem59 | 22 | lvl.1 (Lens-Learner) | ||
| 6 | Relayer | Belokon Andrey | Odessa | 892.85 | lvl.3 (Lens-Competent) |
| 7 | mloo | Grebnev | 48.5 | lvl.1 (Lens-Learner) | |
| 8 | stylus | Sergey | Kiev | 0 | lvl.1 (Lens-Learner) |
| 9 | Vovan4uk | 137.799 | lvl.2 (Lens-Adept) | ||
| 10 | suchindran | 28.5 | lvl.1 (Lens-Learner) | ||
| 11 | stimilek | Vlastimil | 1491.48 | lvl.4 (Lens-Pro) | |
| 12 | trin | Davide | Padova | 67.8 | lvl.1 (Lens-Learner) |
| 13 | Modransky | 69 | lvl.1 (Lens-Learner) | ||
| 14 | Datuar | 109.45 | lvl.2 (Lens-Adept) | ||
| 15 | SenkM | Michal Šenk Michal Šenk | Brno | 68.5 | lvl.1 (Lens-Learner) |
| 16 | Alexey_Barov | 104.8 | lvl.2 (Lens-Adept) | ||
| 17 | chris_zeel | 152.4 | lvl.2 (Lens-Adept) | ||
| 18 | ronald | Bandung | 128 | lvl.2 (Lens-Adept) | |
| 19 | Kevin | 360.9 | lvl.3 (Lens-Competent) | ||
| 20 | Mika Uolamo | 378.6 | lvl.3 (Lens-Competent) | ||
| 21 | Hucky | Hucky | Flensburg | 240.9 | lvl.2 (Lens-Adept) |
| 22 | Stacy Crete | Stacy Crete | Kenosha, Wisconsin | 9.05001 | lvl.1 (Lens-Learner) |
| 23 | Tristen Hopp | 20.9 | lvl.1 (Lens-Learner) | ||
| 24 | arborius | 65.3 | lvl.1 (Lens-Learner) | ||
| 25 | egy | EGY FORESTER EGY | JAKARTA | 22.8 | lvl.1 (Lens-Learner) |
| 26 | Sean Teng | Sean Teng Sean | Taipei | 571.951 | lvl.3 (Lens-Competent) |
| 27 | likan | 632.344 | lvl.3 (Lens-Competent) | ||
| 28 | Antonio Pedroni | 148.751 | lvl.2 (Lens-Adept) | ||
| 29 | Gianluca | 19.9 | lvl.1 (Lens-Learner) | ||
| 30 | Alibaba | Ameri Sani Alibaba | Tehran | 91.2001 | lvl.1 (Lens-Learner) |
| 31 | PA Mottot | 34.8 | lvl.1 (Lens-Learner) | ||
| 32 | Norbert Ludas | Norbert Ludaš | Nové Zámky | 46.9 | lvl.1 (Lens-Learner) |
| 33 | Eugene | 21.4 | lvl.1 (Lens-Learner) | ||
| 34 | Churst | 13.3 | lvl.1 (Lens-Learner) | ||
| 35 | Eikokushinshi | 47.5999 | lvl.1 (Lens-Learner) | ||
| 36 | Dawid | 28.8 | lvl.1 (Lens-Learner) | ||
| 37 | Cezary | 740.794 | lvl.3 (Lens-Competent) | ||
| 38 | SharkDD | sovietphoto_com | 9518.66 | lvl.6 (Lens-Master) | |
| 39 | Matt Hooker | 82.4001 | lvl.1 (Lens-Learner) | ||
| 40 | Massimo | 53.3 | lvl.1 (Lens-Learner) | ||
| 41 | Mandys_Edge | Edgar Edgar | Neuhofen | 83.9 | lvl.1 (Lens-Learner) |
| 42 | tek | 8.6 | lvl.1 (Lens-Learner) | ||
| 43 | Stf | 125.7 | lvl.2 (Lens-Adept) | ||
| 44 | Klaus Bo | Klaus Bo Nielsen Klaus Bo Nielsen | Randers C | 312.4 | lvl.2 (Lens-Adept) |
| 45 | HrLehmann | Imhof Oliver | Essen | 68.9 | lvl.1 (Lens-Learner) |
| 46 | Tono Balucha | 22.6 | lvl.1 (Lens-Learner) | ||
| 47 | Tolosano | Toulouse | 184.701 | lvl.2 (Lens-Adept) | |
| 48 | Dennis Wylezich | Berlin | 33.5 | lvl.1 (Lens-Learner) | |
| 49 | Aravier Batiz | Aravier Batiz | Santa Monica, California. | 180 | lvl.2 (Lens-Adept) |
| 50 | ThorstenP | N | 157.35 | lvl.1 (Lens-Learner) |