Peak Counties |
County/Entity |
Rounds |
Peak Population |
Peak Counties |
Pope, IL |
90 |
329,253,955 |
3,107 |
Rich, UT |
85 |
329,248,523 |
3,107 |
Kemper, MS |
93 |
329,247,574 |
3,107 |
Stewart, TN |
79 |
329,245,143 |
3,107 |
Natrona, WY |
105 |
329,257,893 |
3,106 |
Fulton, KY |
88 |
329,199,144 |
3,106 |
Dorchester, MD |
85 |
329,223,008 |
3,105 |
Lee, GA |
78 |
329,187,460 |
3,105 |
Otsego, MI |
75 |
329,080,862 |
3,105 |
Medina, OH |
79 |
328,511,540 |
3,104 |
Stoddard, MO |
76 |
329,161,379 |
3,102 |
Bradley, AR |
91 |
328,944,896 |
3,098 |
Charlottesville (city), VA |
84 |
324,468,273 |
3,092 |
Montezuma, CO |
75 |
329,071,643 |
3,087 |
Schuyler, IL |
81 |
327,317,481 |
3,073 |
Chase, KS |
95 |
326,743,346 |
3,066 |
Transylvania, NC |
89 |
326,477,919 |
3,042 |
Douglas, SD |
87 |
326,444,933 |
3,041 |
Miami, IN |
76 |
314,167,888 |
3,014 |
Autauga, AL |
76 |
314,131,926 |
3,013 |
(Peak population and entities do not include the final round of the game.) | |
Peak Population |
County/Entity |
Rounds |
Peak Population |
Peak Counties |
Natrona, WY |
105 |
329,257,893 |
3,106 |
Pope, IL |
90 |
329,253,955 |
3,107 |
Rich, UT |
85 |
329,248,523 |
3,107 |
Kemper, MS |
93 |
329,247,574 |
3,107 |
Stewart, TN |
79 |
329,245,143 |
3,107 |
Dorchester, MD |
85 |
329,223,008 |
3,105 |
Fulton, KY |
88 |
329,199,144 |
3,106 |
Lee, GA |
78 |
329,187,460 |
3,105 |
Stoddard, MO |
76 |
329,161,379 |
3,102 |
Otsego, MI |
75 |
329,080,862 |
3,105 |
Montezuma, CO |
75 |
329,071,643 |
3,087 |
Bradley, AR |
91 |
328,944,896 |
3,098 |
Medina, OH |
79 |
328,511,540 |
3,104 |
Schuyler, IL |
81 |
327,317,481 |
3,073 |
Chase, KS |
95 |
326,743,346 |
3,066 |
Transylvania, NC |
89 |
326,477,919 |
3,042 |
Douglas, SD |
87 |
326,444,933 |
3,041 |
Fremont, ID |
93 |
324,564,001 |
3,003 |
Charlottesville (city), VA |
84 |
324,468,273 |
3,092 |
Cherokee, SC |
71 |
323,335,101 |
3,001 |
(Peak population and entities do not include the final round of the game.) | |
Win Average |
County/Entity |
Rounds |
Wins |
Loss |
Liberations |
Win Average |
Coconino, AZ |
120 |
80 |
40 |
3 |
0.667 |
Franklin, NE |
110 |
72 |
38 |
1 |
0.655 |
Jefferson, IL |
111 |
72 |
39 |
2 |
0.649 |
Natrona, WY |
105 |
68 |
37 |
1 |
0.648 |
Kiowa, OK |
113 |
73 |
40 |
3 |
0.646 |
Brantley, GA |
110 |
71 |
39 |
1 |
0.645 |
Tallapoosa, AL |
104 |
67 |
37 |
0 |
0.644 |
Menominee, MI |
108 |
69 |
39 |
2 |
0.639 |
York, SC |
105 |
67 |
38 |
1 |
0.638 |
Emporia (city), VA |
107 |
68 |
39 |
2 |
0.636 |
Monterey, CA |
107 |
68 |
39 |
1 |
0.636 |
Travis, TX |
104 |
66 |
38 |
1 |
0.635 |
San Patricio, TX |
103 |
65 |
38 |
0 |
0.631 |
Kalamazoo, MI |
103 |
65 |
38 |
1 |
0.631 |
Montgomery, IN |
100 |
63 |
37 |
0 |
0.630 |
Mercer, ND |
102 |
64 |
38 |
0 |
0.627 |
Morris, TX |
102 |
64 |
38 |
1 |
0.627 |
Lawrence, KY |
102 |
64 |
38 |
0 |
0.627 |
Chester, PA |
99 |
62 |
37 |
0 |
0.626 |
St. John the Baptist, LA |
99 |
62 |
37 |
0 |
0.626 |
|
Average Hit Points |
County/Entity |
Rounds |
Average HP |
Cottonwood, MN |
95 |
4.968 |
Calaveras, CA |
92 |
4.957 |
Natrona, WY |
105 |
4.952 |
Montgomery, IN |
100 |
4.920 |
Ellis, TX |
88 |
4.920 |
Lawrence, KY |
102 |
4.912 |
Dickey, ND |
97 |
4.907 |
Otsego, NY |
94 |
4.904 |
Tallapoosa, AL |
104 |
4.894 |
Clark, NV |
101 |
4.891 |
Palo Pinto, TX |
101 |
4.891 |
Monterey, CA |
107 |
4.888 |
Chesterfield, SC |
95 |
4.884 |
San Patricio, TX |
103 |
4.883 |
York, SC |
105 |
4.867 |
McPherson, KS |
90 |
4.867 |
Delaware, OH |
87 |
4.862 |
Randolph, AL |
92 |
4.859 |
Love, OK |
84 |
4.857 |
Mercer, ND |
102 |
4.853 |
|