English
| ID | Nazwa | Znaczniki | Zgłosiło | %Rozwiązało | Średnio |
|---|---|---|---|---|---|
| maf | Zadanie Mafia | 85 | 76% | 81 | |
| mac | Machine learning | pa final 2017 | 4 | 75% | 76 |
| maa | Zadanie Mapa 2 [B] | 8 | 75% | 77 | |
| maa | Zadanie Mapa 2 [B] | pa 2010 r5 b | 21 | 80% | 81 |
| m7c | pomieszane dane 3 | 108 | 87% | 93 | |
| m7b | pomieszane dane 2 | 112 | 86% | 92 | |
| m7a | pomieszane dane 1 | 132 | 87% | 91 | |
| m2e | Liczby 1 (M2019) | 221 | 89% | 92 | |
| m2c | Liczby Binarne 3 - 2015 | 202 | 77% | 87 | |
| m2b | Liczby Binarne 2 - 2015 | 242 | 94% | 96 | |
| m2a | Liczby Binarne 1 - 2015 | 39 | 82% | 88 | |
| m2a | Liczby Binarne 1 - 2015 | 231 | 96% | 97 | |
| m1t | Robot 3 - probna Torun 2019 | 131 | 87% | 92 | |
| m1s | Robot 2 - probna Torun 2019 | 147 | 91% | 94 | |
| m1r | Robot 1 - probna Torun 2019 | 182 | 91% | 94 | |
| m1n | Szyfr Cezara 3 | 288 | 85% | 87 | |
| m1m | Szyfr Cezara 2 | 341 | 87% | 89 | |
| m1l | Szyfr Cezara 1 | 374 | 88% | 90 | |
| m1i | Wega 3 | 180 | 98% | 99 | |
| m1h | Wega 2 | 189 | 94% | 96 |