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Untimed expedition · Data edition 01051846d672
107Wins
4Losses
0Ties
Explore the final empire · 115 countries
No countries match your search.
The path through the world
One choice at a time.
111 rounds
Where it began · 12 countries
Germany · Iraq · Syria · Venezuela · Madagascar · Niger · Mali · Bangladesh · Bulgaria · Palestine · South Korea · Canada
Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
81
Round 81Won89 countries · 2 lives left
LuxembourgvsFinland
Density: 257.7 vs 16.5 per km² · Higher wins ↑
Conquered Finland.
Other category comparisons 3 other winning choices
All eight categories for Luxembourg against Finland
Category
Luxembourg
Finland
Result
Areakm² · Higher wins ↑
2,586
338,145
Would lose
Populationpeople · Higher wins ↑
666,430
5,583,911
Would lose
Wealth per personint’l $ · Higher wins ↑
152,596
63,467
Would win
Densityper km² · Higher wins ↑ · Chosen
257.7
16.5
Would win
Highest peakm · Higher wins ↑
559
1,328
Would lose
Coastlinekm · Higher wins ↑
0
1,250
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
49.7° N
63.3° N
Would win
82
Round 82Won90 countries · 2 lives left
HondurasvsPanama
Population: 10,644,851 vs 4,458,759 people · Higher wins ↑
Conquered Panama.
Other category comparisons 2 other winning choices
All eight categories for Honduras against Panama
Category
Honduras
Panama
Result
Areakm² · Higher wins ↑
112,090
75,420
Would win
Populationpeople · Higher wins ↑ · Chosen
10,644,851
4,458,759
Would win
Wealth per personint’l $ · Higher wins ↑
7,184
39,846
Would lose
Densityper km² · Higher wins ↑
95.0
59.1
Would win
Highest peakm · Higher wins ↑
2,870
3,475
Would lose
Coastlinekm · Higher wins ↑
823
2,490
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
14.7° N
8.4° N
Would lose
83
Round 83Won91 countries · 2 lives left
GermanyvsChile
Wealth per person: 72,262 vs 33,174 int’l $ · Higher wins ↑
Conquered Chile.
Other category comparisons 2 other winning choices
All eight categories for Germany against Chile
Category
Germany
Chile
Result
Areakm² · Higher wins ↑
357,022
756,102
Would lose
Populationpeople · Higher wins ↑
83,287,273
19,658,835
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
33,174
Would win
Densityper km² · Higher wins ↑
233.3
26.0
Would win
Highest peakm · Higher wins ↑
2,963
6,893
Would lose
Coastlinekm · Higher wins ↑
2,389
6,435
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
23.4° S
Would lose
84
Round 84Won92 countries · 2 lives left
PhilippinesvsMaldives
Population: 114,891,199 vs 525,994 people · Higher wins ↑
Conquered Maldives.
Other category comparisons 4 other winning choices
All eight categories for Philippines against Maldives
Category
Philippines
Maldives
Result
Areakm² · Higher wins ↑
300,000
298
Would win
Populationpeople · Higher wins ↑ · Chosen
114,891,199
525,994
Would win
Wealth per personint’l $ · Higher wins ↑
10,995
24,807
Would lose
Densityper km² · Higher wins ↑
383.0
1,765.1
Would lose
Highest peakm · Higher wins ↑
2,954
5
Would win
Coastlinekm · Higher wins ↑
36,289
644
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
3.3° N
Would lose
85
Round 85Won93 countries · 2 lives left
CyprusvsFrance
Proximity to equator: 34.9° N vs 46.7° N from the equator · Closer wins ↓
Conquered France.
Other category comparisons 1 other winning choice
All eight categories for Cyprus against France
Category
Cyprus
France
Result
Areakm² · Higher wins ↑
9,251
551,500
Would lose
Populationpeople · Higher wins ↑
1,344,976
65,925,961
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
60,927
Would lose
Densityper km² · Higher wins ↑
145.4
119.5
Would win
Highest peakm · Higher wins ↑
1,951
4,810
Would lose
Coastlinekm · Higher wins ↑
648
3,427
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
34.9° N
46.7° N
Would win
86
Round 86Won94 countries · 2 lives left
Costa RicavsSaudi Arabia
Highest peak: 3,819 vs 3,000 m · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 3 other winning choices
All eight categories for Costa Rica against Saudi Arabia
Category
Costa Rica
Saudi Arabia
Result
Areakm² · Higher wins ↑
51,100
2,149,690
Would lose
Populationpeople · Higher wins ↑
5,105,525
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
29,248
71,624
Would lose
Densityper km² · Higher wins ↑
99.9
15.7
Would win
Highest peakm · Higher wins ↑ · Chosen
3,819
3,000
Would win
Coastlinekm · Higher wins ↑
1,290
2,640
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
10.1° N
23.5° N
Would win
87
Round 87Won95 countries · 2 lives left
MontenegrovsGuatemala
Wealth per person: 31,863 vs 13,752 int’l $ · Higher wins ↑
Conquered Guatemala.
Other category comparisons 0 other winning choices
All eight categories for Montenegro against Guatemala
Category
Montenegro
Guatemala
Result
Areakm² · Higher wins ↑
13,812
108,889
Would lose
Populationpeople · Higher wins ↑
623,529
18,124,838
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
31,863
13,752
Would win
Densityper km² · Higher wins ↑
45.1
166.5
Would lose
Highest peakm · Higher wins ↑
2,534
4,220
Would lose
Coastlinekm · Higher wins ↑
293.5
400
Would lose
Flag colourscolours · Higher wins ↑
5
9
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.8° N
15.0° N
Would lose
88
Round 88Won96 countries · 2 lives left
SurinamevsBotswana
Proximity to equator: 4.1° N vs 22.1° S from the equator · Closer wins ↓
Conquered Botswana.
Other category comparisons 3 other winning choices
All eight categories for Suriname against Botswana
Category
Suriname
Botswana
Result
Areakm² · Higher wins ↑
163,820
581,730
Would lose
Populationpeople · Higher wins ↑
628,886
2,480,244
Would lose
Wealth per personint’l $ · Higher wins ↑
21,128
21,029
Would win
Densityper km² · Higher wins ↑
3.8
4.3
Would lose
Highest peakm · Higher wins ↑
1,230
1,495
Would lose
Coastlinekm · Higher wins ↑
386
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
4.1° N
22.1° S
Would win
89
Round 89Won97 countries · 2 lives left
SenegalvsChad
Coastline: 531 vs 0 km · Higher wins ↑
Conquered Chad.
Other category comparisons 3 other winning choices
All eight categories for Senegal against Chad
Category
Senegal
Chad
Result
Areakm² · Higher wins ↑
196,722
1,284,000
Would lose
Populationpeople · Higher wins ↑
18,077,573
19,319,064
Would lose
Wealth per personint’l $ · Higher wins ↑
4,782
2,703
Would win
Densityper km² · Higher wins ↑
91.9
15.0
Would win
Highest peakm · Higher wins ↑
648
3,445
Would lose
Coastlinekm · Higher wins ↑ · Chosen
531
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
15.2° N
17.3° N
Would win
90
Round 90Won98 countries · 2 lives left
MauritiusvsSouth Sudan
Density: 612.1 vs 17.8 per km² · Higher wins ↑
Conquered South Sudan.
Other category comparisons 1 other winning choice
All eight categories for Mauritius against South Sudan
Category
Mauritius
South Sudan
Result
Areakm² · Higher wins ↑
2,040
644,329
Would lose
Populationpeople · Higher wins ↑
1,248,647
11,483,374
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
29,403
Unavailable
Unavailable
Densityper km² · Higher wins ↑ · Chosen
612.1
17.8
Would win
Highest peakm · Higher wins ↑
828
3,187
Would lose
Coastlinekm · Higher wins ↑
177
0
Would win
Flag colourscolours · Higher wins ↑
4
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
20.3° S
7.1° N
Would lose
91
Round 91Lost97 countries · 1 life left
IraqvsMongolia
Wealth per person: 14,665 vs 18,020 int’l $ · Higher wins ↑
Returned to the world: Iraq.
Other category comparisons 5 other winning choices
All eight categories for Iraq against Mongolia
Category
Iraq
Mongolia
Result
Areakm² · Higher wins ↑
438,317
1,564,116
Would lose
Populationpeople · Higher wins ↑
45,074,049
3,481,145
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
14,665
18,020
Would lose
Densityper km² · Higher wins ↑
102.8
2.2
Would win
Highest peakm · Higher wins ↑
3,611
4,374
Would lose
Coastlinekm · Higher wins ↑
58
0
Would win
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
33.3° N
46.0° N
Would win
92
Round 92Won98 countries · 1 life left
DR CongovsMalawi
Proximity to equator: 1.9° S vs 13.4° S from the equator · Closer wins ↓
Conquered Malawi.
Other category comparisons 4 other winning choices
All eight categories for DR Congo against Malawi
Category
DR Congo
Malawi
Result
Areakm² · Higher wins ↑
2,344,858
118,484
Would win
Populationpeople · Higher wins ↑
105,789,731
21,104,482
Would win
Wealth per personint’l $ · Higher wins ↑
1,732
1,832
Would lose
Densityper km² · Higher wins ↑
45.1
178.1
Would lose
Highest peakm · Higher wins ↑
5,110
3,002
Would win
Coastlinekm · Higher wins ↑
37
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
1.9° S
13.4° S
Would win
93
Round 93Won99 countries · 1 life left
EstoniavsLaos
Wealth per person: 48,848 vs 9,299 int’l $ · Higher wins ↑
Conquered Laos.
Other category comparisons 1 other winning choice
All eight categories for Estonia against Laos
Category
Estonia
Laos
Result
Areakm² · Higher wins ↑
45,228
236,800
Would lose
Populationpeople · Higher wins ↑
1,370,286
7,664,993
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
48,848
9,299
Would win
Densityper km² · Higher wins ↑
30.3
32.4
Would lose
Highest peakm · Higher wins ↑
318
2,817
Would lose
Coastlinekm · Higher wins ↑
3,794
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
58.6° N
19.6° N
Would lose
94
Round 94Won100 countries · 1 life left
Central African RepublicvsTimor-Leste
Proximity to equator: 7.0° N vs 8.9° S from the equator · Closer wins ↓
Conquered Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Central African Republic against Timor-Leste
Category
Central African Republic
Timor-Leste
Result
Areakm² · Higher wins ↑
622,984
14,874
Would win
Populationpeople · Higher wins ↑
5,152,421
1,384,286
Would win
Wealth per personint’l $ · Higher wins ↑
1,258
4,811
Would lose
Densityper km² · Higher wins ↑
8.3
93.1
Would lose
Highest peakm · Higher wins ↑
1,410
2,963
Would lose
Coastlinekm · Higher wins ↑
0
706
Would lose
Flag colourscolours · Higher wins ↑
5
4
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
8.9° S
Would win
95
Round 95Won101 countries · 1 life left
TürkiyevsLiberia
Population: 85,325,965 vs 5,493,031 people · Higher wins ↑
Conquered Liberia.
Other category comparisons 5 other winning choices
All eight categories for Türkiye against Liberia
Category
Türkiye
Liberia
Result
Areakm² · Higher wins ↑
783,562
111,369
Would win
Populationpeople · Higher wins ↑ · Chosen
85,325,965
5,493,031
Would win
Wealth per personint’l $ · Higher wins ↑
43,196
1,796
Would win
Densityper km² · Higher wins ↑
108.9
49.3
Would win
Highest peakm · Higher wins ↑
5,137
1,447
Would win
Coastlinekm · Higher wins ↑
7,200
579
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
39.1° N
7.0° N
Would lose
96
Round 96Won102 countries · 1 life left
QatarvsMongolia
Density: 229.2 vs 2.2 per km² · Higher wins ↑
Conquered Mongolia.
Other category comparisons 3 other winning choices
All eight categories for Qatar against Mongolia
Category
Qatar
Mongolia
Result
Areakm² · Higher wins ↑
11,586
1,564,116
Would lose
Populationpeople · Higher wins ↑
2,656,032
3,481,145
Would lose
Wealth per personint’l $ · Higher wins ↑
129,025
18,020
Would win
Densityper km² · Higher wins ↑ · Chosen
229.2
2.2
Would win
Highest peakm · Higher wins ↑
103
4,374
Would lose
Coastlinekm · Higher wins ↑
563
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
25.1° N
46.0° N
Would win
97
Round 97Won103 countries · 1 life left
NigeriavsItaly
Population: 227,882,945 vs 58,984,216 people · Higher wins ↑
Conquered Italy.
Other category comparisons 3 other winning choices
All eight categories for Nigeria against Italy
Category
Nigeria
Italy
Result
Areakm² · Higher wins ↑
923,768
301,340
Would win
Populationpeople · Higher wins ↑ · Chosen
227,882,945
58,984,216
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
60,350
Would lose
Densityper km² · Higher wins ↑
246.7
195.7
Would win
Highest peakm · Higher wins ↑
2,419
4,748
Would lose
Coastlinekm · Higher wins ↑
853
7,600
Would lose
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
45.1° N
Would win
98
Round 98Won104 countries · 1 life left
GabonvsNorth Korea
Proximity to equator: 0.6° S vs 39.9° N from the equator · Closer wins ↓
Conquered North Korea.
Other category comparisons 1 other winning choice
All eight categories for Gabon against North Korea
Category
Gabon
North Korea
Result
Areakm² · Higher wins ↑
267,667
120,538
Would win
Populationpeople · Higher wins ↑
2,484,789
26,418,204
Would lose
Wealth per personint’l $ · Higher wins ↑North Korea: World Bank has no 2023 figure for North Korea.
20,773
Unavailable
Unavailable
Densityper km² · Higher wins ↑
9.3
219.2
Would lose
Highest peakm · Higher wins ↑
1,050
2,744
Would lose
Coastlinekm · Higher wins ↑
885
2,495
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
0.6° S
39.9° N
Would win
99
Round 99Won105 countries · 1 life left
SyriavsLebanon
Area: 187,437 vs 10,400 km² · Higher wins ↑
Conquered Lebanon.
Other category comparisons 2 other winning choices
All eight categories for Syria against Lebanon
Category
Syria
Lebanon
Result
Areakm² · Higher wins ↑ · Chosen
187,437
10,400
Would win
Populationpeople · Higher wins ↑
23,594,623
5,773,493
Would win
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
Unavailable
12,585
Unavailable
Densityper km² · Higher wins ↑
125.9
555.1
Would lose
Highest peakm · Higher wins ↑
2,814
3,088
Would lose
Coastlinekm · Higher wins ↑
193
225
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
35.0° N
34.2° N
Would lose
100
Round 100Won106 countries · 1 life left
NicaraguavsNetherlands
Highest peak: 2,085 vs 322 m · Higher wins ↑
Conquered Netherlands.
Other category comparisons 4 other winning choices
All eight categories for Nicaragua against Netherlands
Category
Nicaragua
Netherlands
Result
Areakm² · Higher wins ↑
130,370
41,543
Would win
Populationpeople · Higher wins ↑
6,823,613
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑
8,327
80,392
Would lose
Densityper km² · Higher wins ↑
52.3
430.3
Would lose
Highest peakm · Higher wins ↑ · Chosen
2,085
322
Would win
Coastlinekm · Higher wins ↑
910
451
Would win
Flag colourscolours · Higher wins ↑
10
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Luxembourgvs
Finland
Honduras
Panama
Germany
Chile
Philippines
Maldives
Cyprus
France
Costa Rica
Saudi Arabia
Montenegro
Guatemala
Suriname
Botswana
Senegal
Chad
Mauritius
South Sudan
Iraq
Mongolia
DR Congo
Malawi
Estonia
Laos
Central African Republic
Timor-Leste
Türkiye
Liberia
Qatar
Nigeria
Italy
Gabon
North Korea
Syria
Lebanon
Nicaragua
Netherlands