Every comparison uses this expedition’s original data and rules. “Would win” describes this matchup only; a different choice would change the later journey.
21
Round 21Won33 countries · 4 lives left
LebanonvsGreece
Proximity to equator: 34.2° N vs 39.8° N from the equator · Closer wins ↓
Conquered Greece.
Other category comparisons 2 other winning choices
All eight categories for Lebanon against Greece
Category
Lebanon
Greece
Result
Areakm² · Higher wins ↑
10,400
131,957
Would lose
Populationpeople · Higher wins ↑
5,773,493
10,407,351
Would lose
Wealth per personint’l $ · Higher wins ↑
12,585
42,614
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
555.1
78.9
Would win
Highest peakm · Higher wins ↑
3,088
2,917
Would win
Coastlinekm · Higher wins ↑
225
13,676
Would lose
Flag colourscolours · Higher wins ↑
3
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
34.2° N
39.8° N
Would win
22
Round 22Won34 countries · 4 lives left
UkrainevsJordan
Area: 603,550 vs 89,342 km² · Higher wins ↑
Conquered Jordan.
Other category comparisons 3 other winning choices
All eight categories for Ukraine against Jordan
Category
Ukraine
Jordan
Result
Areakm² · Higher wins ↑ · Chosen
603,550
89,342
Would win
Populationpeople · Higher wins ↑
37,732,836
11,439,213
Would win
Wealth per personint’l $ · Higher wins ↑
17,680
11,451
Would win
Densityper km² · Higher wins ↑
62.5
128.0
Would lose
Highest peakm · Higher wins ↑
2,061
1,854
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
2,782
26
Would win
Flag colourscolours · Higher wins ↑
2
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
49.6° N
30.7° N
Would lose
23
Round 23Won35 countries · 4 lives left
SudanvsAustralia
Population: 50,042,791 vs 26,659,922 people · Higher wins ↑
Conquered Australia.
Other category comparisons 3 other winning choices
All eight categories for Sudan against Australia
Category
Sudan
Australia
Result
Areakm² · Higher wins ↑
1,861,484
7,741,220
Would lose
Populationpeople · Higher wins ↑ · Chosen
50,042,791
26,659,922
Would win
Wealth per personint’l $ · Higher wins ↑
2,423
72,273
Would lose
DensityBlocked in Hard · per km² · Higher wins ↑
26.9
3.4
Would win
Highest peakm · Higher wins ↑
3,042
2,228
Would win
Coastlinekm · Higher wins ↑
853
25,760
Would lose
Flag colourscolours · Higher wins ↑
4
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
16.6° N
23.1° S
Would win
24
Round 24Lost34 countries · 3 lives left
KyrgyzstanvsBurundi
Population: 7,099,750 vs 13,689,450 people · Higher wins ↑
Returned to the world: Kyrgyzstan.
Other category comparisons 2 other winning choices
All eight categories for Kyrgyzstan against Burundi
Category
Kyrgyzstan
Burundi
Result
AreaBlocked in Hard · km² · Higher wins ↑
199,951
27,830
Would win
Populationpeople · Higher wins ↑ · Chosen
7,099,750
13,689,450
Would lose
Wealth per personint’l $ · Higher wins ↑
7,304
1,147
Would win
Densityper km² · Higher wins ↑
35.5
491.9
Would lose
Highest peakm · Higher wins ↑
7,439
2,685
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
41.7° N
3.4° S
Would lose
25
Round 25Won35 countries · 3 lives left
LiberiavsNepal
Proximity to equator: 7.0° N vs 29.0° N from the equator · Closer wins ↓
Conquered Nepal.
Other category comparisons 0 other winning choices
All eight categories for Liberia against Nepal
Category
Liberia
Nepal
Result
Areakm² · Higher wins ↑
111,369
147,181
Would lose
Populationpeople · Higher wins ↑
5,493,031
29,694,614
Would lose
Wealth per personint’l $ · Higher wins ↑
1,796
5,400
Would lose
Densityper km² · Higher wins ↑
49.3
201.8
Would lose
Highest peakm · Higher wins ↑
1,447
8,849
Would lose
CoastlineBlocked in Hard · km · Higher wins ↑
579
0
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.0° N
29.0° N
Would win
26
Round 26Won36 countries · 3 lives left
IndiavsCambodia
Area: 3,287,263 vs 181,035 km² · Higher wins ↑
Conquered Cambodia.
Other category comparisons 4 other winning choices
All eight categories for India against Cambodia
Category
India
Cambodia
Result
Areakm² · Higher wins ↑ · Chosen
3,287,263
181,035
Would win
PopulationBlocked in Hard · people · Higher wins ↑
1,438,069,596
17,423,880
Would win
Wealth per personint’l $ · Higher wins ↑
9,853
7,437
Would win
Densityper km² · Higher wins ↑
437.5
96.2
Would win
Highest peakm · Higher wins ↑
8,586
1,810
Would win
Coastlinekm · Higher wins ↑
7,000
443
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
22.4° N
12.6° N
Would lose
27
Round 27Won37 countries · 3 lives left
AzerbaijanvsSyria
Highest peak: 4,466 vs 2,814 m · Higher wins ↑
Conquered Syria.
Other category comparisons 0 other winning choices
All eight categories for Azerbaijan against Syria
Category
Azerbaijan
Syria
Result
Areakm² · Higher wins ↑
86,600
187,437
Would lose
Populationpeople · Higher wins ↑
10,153,958
23,594,623
Would lose
Wealth per personint’l $ · Higher wins ↑Syria: World Bank has no 2023 figure for Syria.
23,671
Unavailable
Unavailable
Densityper km² · Higher wins ↑
117.3
125.9
Would lose
Highest peakm · Higher wins ↑ · Chosen
4,466
2,814
Would win
Coastlinekm · Higher wins ↑
0
193
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
40.5° N
35.0° N
Would lose
28
Round 28Won38 countries · 3 lives left
BelgiumvsSerbia
Wealth per person: 72,630 vs 29,777 int’l $ · Higher wins ↑
Conquered Serbia.
Other category comparisons 2 other winning choices
All eight categories for Belgium against Serbia
Category
Belgium
Serbia
Result
Areakm² · Higher wins ↑
30,528
77,474
Would lose
Populationpeople · Higher wins ↑
11,779,946
6,623,183
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
72,630
29,777
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
385.9
85.5
Would win
Highest peakm · Higher wins ↑
694
2,169
Would lose
Coastlinekm · Higher wins ↑
66.5
0
Would win
Flag colourscolours · Higher wins ↑
3
5
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
50.8° N
44.2° N
Would lose
29
Round 29Won39 countries · 3 lives left
GeorgiavsBurundi
Coastline: 310 vs 0 km · Higher wins ↑
Conquered Burundi.
Other category comparisons 2 other winning choices
All eight categories for Georgia against Burundi
Category
Georgia
Burundi
Result
Areakm² · Higher wins ↑
69,700
27,830
Would win
Populationpeople · Higher wins ↑
3,715,483
13,689,450
Would lose
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
25,093
1,147
Would win
Densityper km² · Higher wins ↑
53.3
491.9
Would lose
Highest peakm · Higher wins ↑
5,193
2,685
Would win
Coastlinekm · Higher wins ↑ · Chosen
310
0
Would win
Flag colourscolours · Higher wins ↑
2
3
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
42.4° N
3.4° S
Would lose
30
Round 30Won40 countries · 3 lives left
MalawivsLuxembourg
Area: 118,484 vs 2,586 km² · Higher wins ↑
Conquered Luxembourg.
Other category comparisons 2 other winning choices
All eight categories for Malawi against Luxembourg
Category
Malawi
Luxembourg
Result
Areakm² · Higher wins ↑ · Chosen
118,484
2,586
Would win
PopulationBlocked in Hard · people · Higher wins ↑
21,104,482
666,430
Would win
Wealth per personint’l $ · Higher wins ↑
1,832
152,596
Would lose
Densityper km² · Higher wins ↑
178.1
257.7
Would lose
Highest peakm · Higher wins ↑
3,002
559
Would win
Coastlinekm · Higher wins ↑
0
0
Would tie
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
13.4° S
49.7° N
Would win
31
Round 31Won41 countries · 3 lives left
PhilippinesvsEritrea
Coastline: 36,289 vs 2,234 km · Higher wins ↑
Conquered Eritrea.
Other category comparisons 2 other winning choices
All eight categories for Philippines against Eritrea
Category
Philippines
Eritrea
Result
Areakm² · Higher wins ↑
300,000
117,600
Would win
PopulationBlocked in Hard · people · Higher wins ↑
114,891,199
3,470,390
Would win
Wealth per personint’l $ · Higher wins ↑Eritrea: World Bank has no 2023 figure for Eritrea.
10,995
Unavailable
Unavailable
Densityper km² · Higher wins ↑
383.0
29.5
Would win
Highest peakm · Higher wins ↑
2,954
3,018
Would lose
Coastlinekm · Higher wins ↑ · Chosen
36,289
2,234
Would win
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
17.0° N
16.0° N
Would lose
32
Round 32Won42 countries · 3 lives left
EcuadorvsRwanda
Highest peak: 6,267 vs 4,519 m · Higher wins ↑
Conquered Rwanda.
Other category comparisons 5 other winning choices
All eight categories for Ecuador against Rwanda
Category
Ecuador
Rwanda
Result
Areakm² · Higher wins ↑
283,561
26,338
Would win
Populationpeople · Higher wins ↑
17,980,083
13,954,471
Would win
Wealth per personint’l $ · Higher wins ↑
15,907
3,519
Would win
Densityper km² · Higher wins ↑
63.4
529.8
Would lose
Highest peakm · Higher wins ↑ · Chosen
6,267
4,519
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
2,237
0
Would win
Flag colourscolours · Higher wins ↑
11
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
1.2° S
1.8° S
Would win
33
Round 33Won43 countries · 3 lives left
Côte d’IvoirevsUnited Arab Emirates
Population: 31,165,654 vs 10,483,751 people · Higher wins ↑
Conquered United Arab Emirates.
Other category comparisons 1 other winning choice
All eight categories for Côte d’Ivoire against United Arab Emirates
Category
Côte d’Ivoire
United Arab Emirates
Result
AreaBlocked in Hard · km² · Higher wins ↑
322,463
83,600
Would win
Populationpeople · Higher wins ↑ · Chosen
31,165,654
10,483,751
Would win
Wealth per personint’l $ · Higher wins ↑
7,243
78,020
Would lose
Densityper km² · Higher wins ↑
96.6
125.4
Would lose
Highest peakm · Higher wins ↑
1,752
1,905
Would lose
Coastlinekm · Higher wins ↑
515
1,318
Would lose
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
7.5° N
23.5° N
Would win
34
Round 34Won44 countries · 3 lives left
SlovakiavsBulgaria
Wealth per person: 45,865 vs 38,829 int’l $ · Higher wins ↑
Conquered Bulgaria.
Other category comparisons 0 other winning choices
All eight categories for Slovakia against Bulgaria
Category
Slovakia
Bulgaria
Result
Areakm² · Higher wins ↑
49,035
110,879
Would lose
Populationpeople · Higher wins ↑
5,426,740
6,446,596
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
45,865
38,829
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
110.7
58.1
Would win
Highest peakm · Higher wins ↑
2,655
2,925
Would lose
Coastlinekm · Higher wins ↑
0
354
Would lose
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
48.7° N
42.5° N
Would lose
35
Round 35Won45 countries · 3 lives left
MexicovsNorth Macedonia
Population: 129,739,759 vs 1,827,816 people · Higher wins ↑
Conquered North Macedonia.
Other category comparisons 4 other winning choices
All eight categories for Mexico against North Macedonia
Category
Mexico
North Macedonia
Result
Areakm² · Higher wins ↑
1,964,375
25,713
Would win
Populationpeople · Higher wins ↑ · Chosen
129,739,759
1,827,816
Would win
Wealth per personint’l $ · Higher wins ↑
25,188
25,354
Would lose
Densityper km² · Higher wins ↑
66.0
71.1
Would lose
Highest peakm · Higher wins ↑
5,636
2,764
Would win
CoastlineBlocked in Hard · km · Higher wins ↑
9,330
0
Would win
Flag colourscolours · Higher wins ↑
11
2
Would win
Proximity to equatorfrom the equator · Closer wins ↓
23.5° N
41.5° N
Would win
36
Round 36Won46 countries · 3 lives left
BruneivsMalaysia
Wealth per person: 85,103 vs 36,497 int’l $ · Higher wins ↑
Conquered Malaysia.
Other category comparisons 0 other winning choices
All eight categories for Brunei against Malaysia
Category
Brunei
Malaysia
Result
Areakm² · Higher wins ↑
5,765
329,847
Would lose
Populationpeople · Higher wins ↑
458,949
35,126,298
Would lose
Wealth per personint’l $ · Higher wins ↑ · Chosen
85,103
36,497
Would win
Densityper km² · Higher wins ↑
79.6
106.5
Would lose
Highest peakm · Higher wins ↑
1,850
4,095
Would lose
Coastlinekm · Higher wins ↑
161
4,675
Would lose
Flag colourscolours · Higher wins ↑
4
4
Would tie
Proximity to equatorfrom the equator · Closer wins ↓
4.5° N
4.4° N
Would lose
37
Round 37Won47 countries · 3 lives left
United KingdomvsPapua New Guinea
Population: 68,526,000 vs 10,389,635 people · Higher wins ↑
Conquered Papua New Guinea.
Other category comparisons 2 other winning choices
All eight categories for United Kingdom against Papua New Guinea
Category
United Kingdom
Papua New Guinea
Result
Areakm² · Higher wins ↑
243,610
462,840
Would lose
Populationpeople · Higher wins ↑ · Chosen
68,526,000
10,389,635
Would win
Wealth per personBlocked in Hard · int’l $ · Higher wins ↑
60,787
4,672
Would win
Densityper km² · Higher wins ↑
281.3
22.4
Would win
Highest peakm · Higher wins ↑
1,345
4,509
Would lose
Coastlinekm · Higher wins ↑
12,429
5,152
Would win
Flag colourscolours · Higher wins ↑
3
4
Would lose
Proximity to equatorfrom the equator · Closer wins ↓
52.5° N
5.5° S
Would lose
38
Round 38Won48 countries · 3 lives left
MadagascarvsEstonia
Proximity to equator: 18.4° S vs 58.6° N from the equator · Closer wins ↓
Conquered Estonia.
Other category comparisons 4 other winning choices
All eight categories for Madagascar against Estonia
Category
Madagascar
Estonia
Result
Areakm² · Higher wins ↑
587,041
45,228
Would win
PopulationBlocked in Hard · people · Higher wins ↑
31,195,932
1,370,286
Would win
Wealth per personint’l $ · Higher wins ↑
1,810
48,848
Would lose
Densityper km² · Higher wins ↑
53.1
30.3
Would win
Highest peakm · Higher wins ↑
2,876
318
Would win
Coastlinekm · Higher wins ↑
4,828
3,794
Would win
Flag colourscolours · Higher wins ↑
3
3
Would tie
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
18.4° S
58.6° N
Would win
39
Round 39Won49 countries · 3 lives left
South SudanvsNetherlands
Proximity to equator: 7.1° N vs 52.2° N from the equator · Closer wins ↓
Conquered Netherlands.
Other category comparisons 2 other winning choices
All eight categories for South Sudan against Netherlands
Category
South Sudan
Netherlands
Result
AreaBlocked in Hard · km² · Higher wins ↑
644,329
41,543
Would win
Populationpeople · Higher wins ↑
11,483,374
17,877,117
Would lose
Wealth per personint’l $ · Higher wins ↑South Sudan: World Bank has no 2023 figure for South Sudan.
Unavailable
80,392
Unavailable
Densityper km² · Higher wins ↑
17.8
430.3
Would lose
Highest peakm · Higher wins ↑
3,187
322
Would win
Coastlinekm · Higher wins ↑
0
451
Would lose
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓ · Chosen
7.1° N
52.2° N
Would win
40
Round 40Won50 countries · 3 lives left
PortugalvsMauritania
Wealth per person: 49,800 vs 6,972 int’l $ · Higher wins ↑
Conquered Mauritania.
Other category comparisons 4 other winning choices
All eight categories for Portugal against Mauritania
Category
Portugal
Mauritania
Result
Areakm² · Higher wins ↑
92,090
1,030,700
Would lose
Populationpeople · Higher wins ↑
10,578,174
5,022,441
Would win
Wealth per personint’l $ · Higher wins ↑ · Chosen
49,800
6,972
Would win
DensityBlocked in Hard · per km² · Higher wins ↑
114.9
4.9
Would win
Highest peakm · Higher wins ↑
2,351
915
Would win
Coastlinekm · Higher wins ↑
1,793
754
Would win
Flag colourscolours · Higher wins ↑
6
3
Would win
Proximity to equatorfrom the equator · Closer wins ↓
Lebanonvs
Greece
Ukraine
Jordan
Sudan
Australia
Kyrgyzstan
Burundi
Liberia
Nepal
India
Cambodia
Azerbaijan
Syria
Belgium
Serbia
Georgia
Malawi
Luxembourg
Philippines
Eritrea
Ecuador
Rwanda
Côte d’Ivoire
United Arab Emirates
Slovakia
Bulgaria
Mexico
North Macedonia
Brunei
Malaysia
United Kingdom
Papua New Guinea
Madagascar
Estonia
South Sudan
Netherlands
Portugal
Mauritania