Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
1
Round 1Won13 countries · 4 lives left
GermanyvsNew Zealand
Area: 357,022 vs 268,838 km² · Higher wins ↑
Conquered New Zealand.
Other category comparisons 3 other winning choices
All eight categories for Germany against New Zealand
Category
Germany
New Zealand
Result
Areakm² · Higher wins ↑ · Chosen
357,022
268,838
Would win
Populationpeople · Higher wins ↑
83,287,273
5,200,000
Would win
Wealth per personint’l $ · Higher wins ↑
72,262
54,950
Would win
Densityper km² · Higher wins ↑
233.3
19.3
Would win
Highest peakm · Higher wins ↑
2,963
3,724
Would lose
Coastlinekm · Higher wins ↑
2,389
15,134
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
45.3° S
Would lose
2
Round 2Won14 countries · 4 lives left
GuatemalavsIndonesia
Density: 166.5 vs 147.6 per km² · Higher wins ↑
Conquered Indonesia.
Other category comparisons 1 other winning choice
All eight categories for Guatemala against Indonesia
Category
Guatemala
Indonesia
Result
Areakm² · Higher wins ↑
108,889
1,904,569
Would lose
Populationpeople · Higher wins ↑
18,124,838
281,190,067
Would lose
Wealth per personint’l $ · Higher wins ↑
13,752
15,428
Would lose
Densityper km² · Higher wins ↑ · Chosen
166.5
147.6
Would win
Highest peakm · Higher wins ↑
4,220
4,884
Would lose
Coastlinekm · Higher wins ↑
400
54,716
Would lose
Flag colourscolours · Higher wins ↑
9
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
1.0° S
Would lose
3
Round 3Won15 countries · 4 lives left
RussiavsLatvia
Area: 17,098,242 vs 64,589 km² · Higher wins ↑
Conquered Latvia.
Other category comparisons 5 other winning choices
All eight categories for Russia against Latvia
Category
Russia
Latvia
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
64,589
Would win
Populationpeople · Higher wins ↑
143,826,130
1,883,710
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
42,784
Would win
Densityper km² · Higher wins ↑
8.4
29.2
Would lose
Highest peakm · Higher wins ↑
5,642
312
Would win
Coastlinekm · Higher wins ↑
37,653
498
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
56.6° N
Would lose
4
Round 4Won16 countries · 4 lives left
BurundivsBangladesh
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Bangladesh.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Bangladesh
Category
Burundi
Bangladesh
Result
Areakm² · Higher wins ↑
27,830
148,460
Would lose
Populationpeople · Higher wins ↑
13,689,450
171,466,990
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
9,155
Would lose
Densityper km² · Higher wins ↑
491.9
1,155.0
Would lose
Highest peakm · Higher wins ↑
2,685
1,060
Would win
Coastlinekm · Higher wins ↑
0
580
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
24.3° N
Would win
5
Round 5Won17 countries · 4 lives left
BrazilvsNorway
Area: 8,515,770 vs 323,802 km² · Higher wins ↑
Conquered Norway.
Other category comparisons 5 other winning choices
All eight categories for Brazil against Norway
Category
Brazil
Norway
Result
Areakm² · Higher wins ↑ · Chosen
8,515,770
323,802
Would win
Populationpeople · Higher wins ↑
211,140,729
5,519,601
Would win
Wealth per personint’l $ · Higher wins ↑
21,193
107,768
Would lose
Densityper km² · Higher wins ↑
24.8
17.0
Would win
Highest peakm · Higher wins ↑
2,994
2,469
Would win
Coastlinekm · Higher wins ↑
7,491
25,148
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
12.6° S
61.5° N
Would win
6
Round 6Lost16 countries · 3 lives left
Timor-LestevsJordan
Density: 93.1 vs 128.0 per km² · Higher wins ↑
Returned to the world: Timor-Leste.
Other category comparisons 3 other winning choices
All eight categories for Timor-Leste against Jordan
Category
Timor-Leste
Jordan
Result
Areakm² · Higher wins ↑
14,874
89,342
Would lose
Populationpeople · Higher wins ↑
1,384,286
11,439,213
Would lose
Wealth per personint’l $ · Higher wins ↑
4,811
11,451
Would lose
Densityper km² · Higher wins ↑ · Chosen
93.1
128.0
Would lose
Highest peakm · Higher wins ↑
2,963
1,854
Would win
Coastlinekm · Higher wins ↑
706
26
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
8.9° S
30.7° N
Would win
7
Round 7Won17 countries · 3 lives left
GreecevsUkraine
Coastline: 13,676 vs 2,782 km · Higher wins ↑
Conquered Ukraine.
Other category comparisons 4 other winning choices
All eight categories for Greece against Ukraine
Category
Greece
Ukraine
Result
Areakm² · Higher wins ↑
131,957
603,550
Would lose
Populationpeople · Higher wins ↑
10,407,351
37,732,836
Would lose
Wealth per personint’l $ · Higher wins ↑
42,614
17,680
Would win
Densityper km² · Higher wins ↑
78.9
62.5
Would win
Highest peakm · Higher wins ↑
2,917
2,061
Would win
Coastlinekm · Higher wins ↑ · Chosen
13,676
2,782
Would win
Flag colourscolours · Higher wins ↑
2
2
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
39.8° N
49.6° N
Would win
8
Round 8Won18 countries · 3 lives left
NigeriavsPhilippines
Area: 923,768 vs 300,000 km² · Higher wins ↑
Conquered Philippines.
Other category comparisons 2 other winning choices
All eight categories for Nigeria against Philippines
Category
Nigeria
Philippines
Result
Areakm² · Higher wins ↑ · Chosen
923,768
300,000
Would win
Populationpeople · Higher wins ↑
227,882,945
114,891,199
Would win
Wealth per personint’l $ · Higher wins ↑
8,712
10,995
Would lose
Densityper km² · Higher wins ↑
246.7
383.0
Would lose
Highest peakm · Higher wins ↑
2,419
2,954
Would lose
Coastlinekm · Higher wins ↑
853
36,289
Would lose
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
9.4° N
17.0° N
Would win
9
Round 9Won19 countries · 3 lives left
ChilevsAlbania
Coastline: 6,435 vs 362 km · Higher wins ↑
Conquered Albania.
Other category comparisons 6 other winning choices
All eight categories for Chile against Albania
Category
Chile
Albania
Result
Areakm² · Higher wins ↑
756,102
28,748
Would win
Populationpeople · Higher wins ↑
19,658,835
2,411,658
Would win
Wealth per personint’l $ · Higher wins ↑
33,174
24,848
Would win
Densityper km² · Higher wins ↑
26.0
83.9
Would lose
Highest peakm · Higher wins ↑
6,893
2,764
Would win
Coastlinekm · Higher wins ↑ · Chosen
6,435
362
Would win
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.4° S
40.7° N
Would win
10
Round 10Won20 countries · 3 lives left
MalawivsMauritania
Highest peak: 3,002 vs 915 m · Higher wins ↑
Conquered Mauritania.
Other category comparisons 3 other winning choices
All eight categories for Malawi against Mauritania
Category
Malawi
Mauritania
Result
Areakm² · Higher wins ↑
118,484
1,030,700
Would lose
Populationpeople · Higher wins ↑
21,104,482
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
6,972
Would lose
Densityper km² · Higher wins ↑
178.1
4.9
Would win
Highest peakm · Higher wins ↑ · Chosen
3,002
915
Would win
Coastlinekm · Higher wins ↑
0
754
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
19.4° N
Would win
11
Round 11Lost19 countries · 2 lives left
LithuaniavsCanada
Population: 2,871,585 vs 40,049,088 people · Higher wins ↑
Returned to the world: Lithuania.
Other category comparisons 3 other winning choices
All eight categories for Lithuania against Canada
Category
Lithuania
Canada
Result
Areakm² · Higher wins ↑
65,300
9,984,670
Would lose
Populationpeople · Higher wins ↑ · Chosen
2,871,585
40,049,088
Would lose
Wealth per personint’l $ · Higher wins ↑
52,720
64,962
Would lose
Densityper km² · Higher wins ↑
44.0
4.0
Would win
Highest peakm · Higher wins ↑
294
5,959
Would lose
Coastlinekm · Higher wins ↑
90
202,080
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
55.1° N
58.8° N
Would win
12
Round 12Won20 countries · 2 lives left
CyprusvsCroatia
Highest peak: 1,951 vs 1,831 m · Higher wins ↑
Conquered Croatia.
Other category comparisons 3 other winning choices
All eight categories for Cyprus against Croatia
Category
Cyprus
Croatia
Result
Areakm² · Higher wins ↑
9,251
56,594
Would lose
Populationpeople · Higher wins ↑
1,344,976
3,859,686
Would lose
Wealth per personint’l $ · Higher wins ↑
59,875
47,760
Would win
Densityper km² · Higher wins ↑
145.4
68.2
Would win
Highest peakm · Higher wins ↑ · Chosen
1,951
1,831
Would win
Coastlinekm · Higher wins ↑
648
5,835
Would lose
Flag colourscolours · Higher wins ↑
3
6
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
34.9° N
45.8° N
Would win
13
Round 13Won21 countries · 2 lives left
GermanyvsBahamas
Wealth per person: 72,262 vs 39,122 int’l $ · Higher wins ↑
Conquered Bahamas.
Other category comparisons 4 other winning choices
All eight categories for Germany against Bahamas
Category
Germany
Bahamas
Result
Areakm² · Higher wins ↑
357,022
13,880
Would win
Populationpeople · Higher wins ↑
83,287,273
399,440
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,262
39,122
Would win
Densityper km² · Higher wins ↑
233.3
28.8
Would win
Highest peakm · Higher wins ↑
2,963
64
Would win
Coastlinekm · Higher wins ↑
2,389
3,542
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
51.0° N
24.7° N
Would lose
14
Round 14Won22 countries · 2 lives left
New ZealandvsDjibouti
Coastline: 15,134 vs 314 km · Higher wins ↑
Conquered Djibouti.
Other category comparisons 4 other winning choices
All eight categories for New Zealand against Djibouti
Category
New Zealand
Djibouti
Result
Areakm² · Higher wins ↑
268,838
23,200
Would win
Populationpeople · Higher wins ↑
5,200,000
1,152,944
Would win
Wealth per personint’l $ · Higher wins ↑
54,950
7,232
Would win
Densityper km² · Higher wins ↑
19.3
49.7
Would lose
Highest peakm · Higher wins ↑
3,724
2,021
Would win
Coastlinekm · Higher wins ↑ · Chosen
15,134
314
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
45.3° S
11.4° N
Would lose
15
Round 15Won23 countries · 2 lives left
GuatemalavsComoros
Area: 108,889 vs 2,235 km² · Higher wins ↑
Conquered Comoros.
Other category comparisons 5 other winning choices
All eight categories for Guatemala against Comoros
Category
Guatemala
Comoros
Result
Areakm² · Higher wins ↑ · Chosen
108,889
2,235
Would win
Populationpeople · Higher wins ↑
18,124,838
850,387
Would win
Wealth per personint’l $ · Higher wins ↑
13,752
3,897
Would win
Densityper km² · Higher wins ↑
166.5
380.5
Would lose
Highest peakm · Higher wins ↑
4,220
2,360
Would win
Coastlinekm · Higher wins ↑
400
340
Would win
Flag colourscolours · Higher wins ↑
9
5
Would win
Proximity to equatorfrom the equator · Closer wins ↓
15.0° N
11.7° S
Would lose
16
Round 16Won24 countries · 2 lives left
IndonesiavsGhana
Coastline: 54,716 vs 539 km · Higher wins ↑
Conquered Ghana.
Other category comparisons 6 other winning choices
All eight categories for Indonesia against Ghana
Category
Indonesia
Ghana
Result
Areakm² · Higher wins ↑
1,904,569
238,533
Would win
Populationpeople · Higher wins ↑
281,190,067
33,787,914
Would win
Wealth per personint’l $ · Higher wins ↑
15,428
7,563
Would win
Densityper km² · Higher wins ↑
147.6
141.6
Would win
Highest peakm · Higher wins ↑
4,884
885
Would win
Coastlinekm · Higher wins ↑ · Chosen
54,716
539
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
1.0° S
7.0° N
Would win
17
Round 17Won25 countries · 2 lives left
RussiavsSri Lanka
Area: 17,098,242 vs 65,610 km² · Higher wins ↑
Conquered Sri Lanka.
Other category comparisons 4 other winning choices
All eight categories for Russia against Sri Lanka
Category
Russia
Sri Lanka
Result
Areakm² · Higher wins ↑ · Chosen
17,098,242
65,610
Would win
Populationpeople · Higher wins ↑
143,826,130
22,037,000
Would win
Wealth per personint’l $ · Higher wins ↑
44,299
14,512
Would win
Densityper km² · Higher wins ↑
8.4
335.9
Would lose
Highest peakm · Higher wins ↑
5,642
2,524
Would win
Coastlinekm · Higher wins ↑
37,653
1,340
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
63.6° N
7.1° N
Would lose
18
Round 18Lost24 countries · 1 life left
LatviavsPalestine
Population: 1,883,710 vs 5,165,775 people · Higher wins ↑
Returned to the world: Latvia.
Other category comparisons 3 other winning choices
All eight categories for Latvia against Palestine
Category
Latvia
Palestine
Result
Areakm² · Higher wins ↑
64,589
6,220
Would win
Populationpeople · Higher wins ↑ · Chosen
1,883,710
5,165,775
Would lose
Wealth per personint’l $ · Higher wins ↑
42,784
6,179
Would win
Densityper km² · Higher wins ↑
29.2
830.5
Would lose
Highest peakm · Higher wins ↑
312
1,020
Would lose
Coastlinekm · Higher wins ↑
498
40
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
56.6° N
32.1° N
Would lose
19
Round 19Won25 countries · 1 life left
BurundivsSaudi Arabia
Flag colours: 3 vs 2 colours · Higher wins ↑
Conquered Saudi Arabia.
Other category comparisons 2 other winning choices
All eight categories for Burundi against Saudi Arabia
Category
Burundi
Saudi Arabia
Result
Areakm² · Higher wins ↑
27,830
2,149,690
Would lose
Populationpeople · Higher wins ↑
13,689,450
33,702,731
Would lose
Wealth per personint’l $ · Higher wins ↑
1,147
71,624
Would lose
Densityper km² · Higher wins ↑
491.9
15.7
Would win
Highest peakm · Higher wins ↑
2,685
3,000
Would lose
Coastlinekm · Higher wins ↑
0
2,640
Would lose
Flag colourscolours · Higher wins ↑ · Chosen
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
3.4° S
23.5° N
Would win
20
Round 20Lost24 countries · 0 lives left
BangladeshvsDR Congo
Flag colours: 2 vs 3 colours · Higher wins ↑
Returned to the world: Bangladesh.
Other category comparisons 4 other winning choices
All eight categories for Bangladesh against DR Congo
Category
Bangladesh
DR Congo
Result
Areakm² · Higher wins ↑
148,460
2,344,858
Would lose
Populationpeople · Higher wins ↑
171,466,990
105,789,731
Would win
Wealth per personint’l $ · Higher wins ↑
9,155
1,732
Would win
Densityper km² · Higher wins ↑
1,155.0
45.1
Would win
Highest peakm · Higher wins ↑
1,060
5,110
Would lose
Coastlinekm · Higher wins ↑
580
37
Would win
Flag colourscolours · Higher wins ↑ · Chosen
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
Germanyvs
New Zealand
Guatemala
Indonesia
Russia
Latvia
Burundi
Bangladesh
Brazil
Norway
Timor-Leste
Jordan
Greece
Ukraine
Nigeria
Philippines
Chile
Albania
Malawi
Mauritania
Lithuania
Canada
Cyprus
Croatia
Bahamas
Djibouti
Comoros
Ghana
Sri Lanka
Palestine
Saudi Arabia
DR Congo