openttd.org

OpenTTD is a business simulation game in which players try to earn money via transporting passengers and freight by road, rail, water and air. It is an open-source remake and expansion of the 1994 Chris Sawyer video game Transport Tycoon Deluxe. More information...

Multilingual Wikipedia

In June 2020 the website openttd.org was on the 90,288th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 91,121st place in June 2020. From Wikipedians' point of view, "openttd.org" is the 29,018th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before sunshinekids.org and after cornellalumnimagazine.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
90,288th place
220,321
-76,166
AR-score:
29,018th place
119,216
-838
F-score:
91,121st place
82
+1

English Wikipedia (en)

PR-score:
112,820th place
80,863
-27,327
AR-score:
87,063rd place
13,409
+148
F-score:
203,803rd place
10
0

German Wikipedia (de)

PR-score:
45,081st place
28,095
-13,330
AR-score:
17,405th place
14,381
0
F-score:
50,604th place
9
0

Polish Wikipedia (pl)

PR-score:
17,353rd place
21,914
+3,014
AR-score:
5,541st place
14,764
-1,036
F-score:
19,930th place
13
+1

Hungarian Wikipedia (hu)

PR-score:
6,346th place
14,711
-13,660
AR-score:
1,231st place
21,066
0
F-score:
5,899th place
15
0

Spanish Wikipedia (es)

PR-score:
72,243rd place
13,441
-2,417
AR-score:
46,033rd place
3,591
0
F-score:
170,735th place
2
0

Norwegian Wikipedia (no)

PR-score:
6,053rd place
6,000
-1,000
AR-score:
2,728th place
10,500
0
F-score:
17,362nd place
3
0

Indonesian Wikipedia (id)

PR-score:
38,140th place
690
-438
AR-score:
11,943rd place
1,404
0
F-score:
20,730th place
4
0
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...