[Click here to return to leaderboard listings]
Banza
Visit Steam profile
General statistics
Runs | 25 |
Total playtime | 04:35:55.068 |
Normal clears | 0 |
Sunken City visits | 0 |
Hard clears | 0 |
CO visits | 0 |
Special clears | 0 |
Top averages
Top 10 average depth | 2-2.200 |
Top 10 average score | 57,346 |
Top 5 average time | 09:59:59.000 |
Best rankings
Best depth ranking | 273 | 2020-10-26 |
Best score ranking | 242 | 2020-10-26 |
Best Normal ranking | N/A |
Best Hard ranking | N/A |
Best Special ranking | N/A |
Top results
Best depth | 4-4 | 2020-10-26 |
Best score | 120,725 | 2020-10-26 |
Fastest Normal clear | N/A |
Fastest Hard clear | N/A |
Fastest Special clear | N/A |
All results
2022-08-21 | | | | #1503 | 1-2 | | #1392 | $6,700 |
2022-08-18 | | | | #1666 | 1-1 | | #1660 | $0 |
2022-07-14 | | | | #1359 | 1-2 | | #1172 | $16,000 |
2022-07-13 | | | | #708 | 2-1 | | #479 | $58,625 |
2021-06-17 | | | | #1107 | 1-4 | | #1335 | $10,300 |
2021-02-08 | | | | #649 | 2-2 | | #611 | $46,625 |
2020-10-27 | | | | #2372 | 1-3 | | #1669 | $24,100 |
2020-10-26 | | | | #273 | 4-4 | | #242 | $120,725 |
2020-10-25 | | | | #1494 | 2-1 | | #926 | $49,000 |
2020-10-24 | | | | #3594 | 1-2 | | #2663 | $11,900 |
2020-10-23 | | | | #4624 | 1-1 | | #3490 | $12,700 |
2020-10-22 | | | | #1949 | 1-4 | | #961 | $50,900 |
2020-10-21 | | | | #2128 | 1-4 | | #1589 | $30,000 |
2020-10-20 | | | | #4001 | 1-3 | | #3664 | $13,900 |
2020-10-19 | | | | #3271 | 1-3 | | #2822 | $14,500 |
2020-10-18 | | | | #4157 | 1-3 | | #2988 | $33,100 |
2020-10-17 | | | | #4944 | 1-1 | | #3036 | $15,100 |
2020-10-16 | | | | #848 | 2-1 | | #380 | $43,850 |
2020-10-15 | | | | #976 | 2-3 | | #1158 | $32,800 |
2020-10-14 | | | | #2538 | 1-3 | | #1176 | $35,000 |
2020-10-13 | | | | #443 | 3-1 | | #301 | $87,530 |
2020-10-12 | | | | #3055 | 1-3 | | #3013 | $11,200 |
2020-10-11 | | | | #2003 | 1-4 | | #1180 | $48,100 |
2020-10-10 | | | | #2933 | 1-2 | | #1988 | $16,100 |
2020-10-09 | | | | #5089 | 1-2 | | #5002 | $6,400 |
Page generated on: 3/17/2025 12:57:25 AM UTC
(Download data in JSON format)
Source code can be found on GitHub.