Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
101
Round 101Won107 countries · 1 life left
CzechiavsUruguay
Wealth per person: 56,062 vs 34,546 int’l $ · Higher wins ↑
Conquered Uruguay.
Other category comparisons 3 other winning choices
All eight categories for Czechia against Uruguay
Category
Czechia
Uruguay
Result
Areakm² · Higher wins ↑
78,867
176,215
Would lose
Populationpeople · Higher wins ↑
10,864,042
3,388,081
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
56,062
34,546
Would win
Densityper km² · Higher wins ↑
137.8
19.2
Would win
Highest peakm · Higher wins ↑
1,602
514
Would win
Coastlinekm · Higher wins ↑
0
660
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.8° N
32.9° S
Would lose
102
Round 102Won108 countries · 1 life left
Costa RicavsThailand
Wealth per person: 29,248 vs 23,598 int’l $ · Higher wins ↑
Conquered Thailand.
Other category comparisons 2 other winning choices
All eight categories for Costa Rica against Thailand
Category
Costa Rica
Thailand
Result
Areakm² · Higher wins ↑
51,100
513,120
Would lose
Populationpeople · Higher wins ↑
5,105,525
71,702,435
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
29,248
23,598
Would win
Densityper km² · Higher wins ↑
99.9
139.7
Would lose
Highest peakm · Higher wins ↑
3,819
2,565
Would win
Coastlinekm · Higher wins ↑
1,290
3,219
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
15.5° N
Would win
103
Round 103Won109 countries · 1 life left
JordanvsColombia
Density: 128.0 vs 45.9 per km² · Higher wins ↑
Conquered Colombia.
Other category comparisons 1 other winning choice
All eight categories for Jordan against Colombia
Category
Jordan
Colombia
Result
Areakm² · Higher wins ↑
89,342
1,138,910
Would lose
Populationpeople · Higher wins ↑
11,439,213
52,321,152
Would lose
Wealth per personint’l $ · Higher wins ↑
11,451
21,282
Would lose
Densityper km² · Higher wins ↑ · Chosen
128.0
45.9
Would win
Highest peakm · Higher wins ↑
1,854
5,730
Would lose
Coastlinekm · Higher wins ↑
26
3,208
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
30.7° N
3.4° N
Would lose
104
Round 104Won110 countries · 1 life left
EswatinivsGuinea
Density: 70.9 vs 58.6 per km² · Higher wins ↑
Conquered Guinea.
Other category comparisons 3 other winning choices
All eight categories for Eswatini against Guinea
Category
Eswatini
Guinea
Result
Areakm² · Higher wins ↑
17,364
245,857
Would lose
Populationpeople · Higher wins ↑
1,230,506
14,405,468
Would lose
Wealth per personint’l $ · Higher wins ↑
11,309
4,337
Would win
Densityper km² · Higher wins ↑ · Chosen
70.9
58.6
Would win
Highest peakm · Higher wins ↑
1,862
1,752
Would win
Coastlinekm · Higher wins ↑
0
320
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
26.6° S
10.7° N
Would lose
105
Round 105Won111 countries · 1 life left
ChilevsDjibouti
Area: 756,102 vs 23,200 km² · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for Chile against Djibouti
Category
Chile
Djibouti
Result
Areakm² · Higher wins ↑ · Chosen
756,102
23,200
Would win
Populationpeople · Higher wins ↑
19,658,835
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
7,232
Would win
Densityper km² · Higher wins ↑
26.0
49.7
Would lose
Highest peakm · Higher wins ↑
6,893
2,021
Would win
Coastlinekm · Higher wins ↑
6,435
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
11.4° N
Would lose
106
Round 106Won112 countries · 1 life left
HaitivsYemen
Density: 419.4 vs 74.6 per km² · Higher wins ↑
Conquered Yemen.
Other category comparisons 1 other winning choice
All eight categories for Haiti against Yemen
Category
Haiti
Yemen
Result
Areakm² · Higher wins ↑
27,750
527,968
Would lose
Populationpeople · Higher wins ↑
11,637,398
39,390,799
Would lose
Wealth per personint’l $ · Higher wins ↑Yemen: World Bank has no 2023 figure for Yemen.
3,265
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
419.4
74.6
Would win
Highest peakm · Higher wins ↑
2,674
3,666
Would lose
Coastlinekm · Higher wins ↑
1,771
1,906
Would lose
Flag colourscolours · Higher wins ↑
7
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
19.2° N
15.3° N
Would lose
107
Round 107Won113 countries · 1 life left
Timor-LestevsAfghanistan
Density: 93.1 vs 63.6 per km² · Higher wins ↑
Conquered Afghanistan.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Afghanistan
Category
Timor-Leste
Afghanistan
Result
Areakm² · Higher wins ↑
14,874
652,230
Would lose
Populationpeople · Higher wins ↑
1,384,286
41,454,761
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
2,204
Would win
Densityper km² · Higher wins ↑ · Chosen
93.1
63.6
Would win
Highest peakm · Higher wins ↑
2,963
7,492
Would lose
Coastlinekm · Higher wins ↑
706
0
Would win
Flag colourscolours · Higher wins ↑
4
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
34.3° N
Would win
108
Round 108Won114 countries · 1 life left
SomaliavsTurkmenistan
Proximity to equator: 2.6° N vs 39.9° N from the equator · Closer wins ↓
Conquered Turkmenistan.
Other category comparisons 4 other winning choices
All eight categories for Somalia against Turkmenistan
Category
Somalia
Turkmenistan
Result
Areakm² · Higher wins ↑
637,657
488,100
Would win
Populationpeople · Higher wins ↑
18,358,615
7,364,438
Would win
Wealth per personint’l $ · Higher wins ↑
1,557
19,645
Would lose
Densityper km² · Higher wins ↑
28.8
15.1
Would win
Highest peakm · Higher wins ↑
2,460
3,139
Would lose
Coastlinekm · Higher wins ↑
3,025
0
Would win
Flag colourscolours · Higher wins ↑
2
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
2.6° N
39.9° N
Would win
109
Round 109Won115 countries · 1 life left
BahamasvsRwanda
Wealth per person: 39,122 vs 3,519 int’l $ · Higher wins ↑
Conquered Rwanda.
Other category comparisons 1 other winning choice
All eight categories for Bahamas against Rwanda
Category
Bahamas
Rwanda
Result
Areakm² · Higher wins ↑
13,880
26,338
Would lose
Populationpeople · Higher wins ↑
399,440
13,954,471
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
39,122
3,519
Would win
Densityper km² · Higher wins ↑
28.8
529.8
Would lose
Highest peakm · Higher wins ↑
64
4,519
Would lose
Coastlinekm · Higher wins ↑
3,542
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
24.7° N
1.8° S
Would lose
110
Round 110Won116 countries · 1 life left
SyriavsNorth Macedonia
Population: 23,594,623 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 6 other winning choices
All eight categories for Syria against North Macedonia
Category
Syria
North Macedonia
Result
Areakm² · Higher wins ↑
187,437
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
23,594,623
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
25,354
Unavailable
Densityper km² · Higher wins ↑
125.9
71.1
Would win
Highest peakm · Higher wins ↑
2,814
2,764
Would win
Coastlinekm · Higher wins ↑
193
0
Would win
Flag colourscolours · Higher wins ↑
4
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
41.5° N
Would win
111
Round 111Won117 countries · 1 life left
IraqvsTrinidad and Tobago
Population: 45,074,049 vs 1,367,510 people · Higher wins ↑
Conquered Trinidad and Tobago.
Other category comparisons 3 other winning choices
All eight categories for Iraq against Trinidad and Tobago
Category
Iraq
Trinidad and Tobago
Result
Areakm² · Higher wins ↑
438,317
5,128
Would win
Populationpeople · Higher wins ↑ · Chosen
45,074,049
1,367,510
Would win
Wealth per personint’l $ · Higher wins ↑
14,665
34,652
Would lose
Densityper km² · Higher wins ↑
102.8
266.7
Would lose
Highest peakm · Higher wins ↑
3,611
940
Would win
Coastlinekm · Higher wins ↑
58
362
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
10.3° N
Would lose
112
Round 112Won118 countries · 1 life left
PakistanvsLatvia
Population: 247,504,495 vs 1,883,710 people · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Pakistan against Latvia
Category
Pakistan
Latvia
Result
Areakm² · Higher wins ↑
796,095
64,589
Would win
Populationpeople · Higher wins ↑ · Chosen
247,504,495
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
6,019
42,784
Would lose
Densityper km² · Higher wins ↑
310.9
29.2
Would win
Highest peakm · Higher wins ↑
8,611
312
Would win
Coastlinekm · Higher wins ↑
1,046
498
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
27.8° N
56.6° N
Would win
113
Round 113Won119 countries · 1 life left
GermanyvsCuba
Population: 83,287,273 vs 11,019,931 people · Higher wins ↑
Conquered Cuba.
Other category comparisons 3 other winning choices
All eight categories for Germany against Cuba
Category
Germany
Cuba
Result
Areakm² · Higher wins ↑
357,022
110,860
Would win
Populationpeople · Higher wins ↑ · Chosen
83,287,273
11,019,931
Would win
Wealth per personint’l $ · Higher wins ↑Cuba: World Bank has no 2023 figure for Cuba.
72,262
Unavailable
Unavailable
Densityper km² · Higher wins ↑
233.3
99.4
Would win
Highest peakm · Higher wins ↑
2,963
1,974
Would win
Coastlinekm · Higher wins ↑
2,389
3,735
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
20.6° N
Would lose
114
Round 114Lost118 countries · 0 lives left
LaosvsUnited States
Density: 32.4 vs 34.2 per km² · Higher wins ↑
Returned to the world: Laos.
Other category comparisons 1 other winning choice
All eight categories for Laos against United States
Category
Laos
United States
Result
Areakm² · Higher wins ↑
236,800
9,833,517
Would lose
Populationpeople · Higher wins ↑
7,664,993
336,755,052
Would lose
Wealth per personint’l $ · Higher wins ↑
9,299
82,587
Would lose
Densityper km² · Higher wins ↑ · Chosen
32.4
34.2
Would lose
Highest peakm · Higher wins ↑
2,817
6,190
Would lose
Coastlinekm · Higher wins ↑
0
19,924
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
Czechiavs
Uruguay
Costa Rica
Thailand
Jordan
Colombia
Eswatini
Guinea
Chile
Djibouti
Haiti
Yemen
Timor-Leste
Afghanistan
Somalia
Turkmenistan
Bahamas
Rwanda
Syria
North Macedonia
Iraq
Trinidad and Tobago
Pakistan
Latvia
Germany
Cuba
Laos
United States