A little knowledge. An empire of 103.

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. 1
   Round 1Won13 countries · 4 lives left

   JapanvsBelgium

   Area: 377,915 vs 30,528 km² · Higher wins ↑

   Conquered Belgium.

   Other category comparisons 4 other winning choices

   All eight categories for Japan against Belgium

   Category	Japan	Belgium	Result
   Areakm² · Higher wins ↑ · Chosen	377,915	30,528	Would win
   Populationpeople · Higher wins ↑	124,516,650	11,779,946	Would win
   Wealth per personint’l $ · Higher wins ↑	52,726	72,630	Would lose
   Densityper km² · Higher wins ↑	329.5	385.9	Would lose
   Highest peakm · Higher wins ↑	3,776	694	Would win
   Coastlinekm · Higher wins ↑	29,751	66.5	Would win
   Flag colourscolours · Higher wins ↑	2	3	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	36.7° N	50.8° N	Would win

2. 2
   Round 2Won14 countries · 4 lives left

   PakistanvsBolivia

   Population: 247,504,495 vs 12,244,159 people · Higher wins ↑

   Conquered Bolivia.

   Other category comparisons 3 other winning choices

   All eight categories for Pakistan against Bolivia

   Category	Pakistan	Bolivia	Result
   Areakm² · Higher wins ↑	796,095	1,098,581	Would lose
   Populationpeople · Higher wins ↑ · Chosen	247,504,495	12,244,159	Would win
   Wealth per personint’l $ · Higher wins ↑	6,019	12,903	Would lose
   Densityper km² · Higher wins ↑	310.9	11.1	Would win
   Highest peakm · Higher wins ↑	8,611	6,542	Would win
   Coastlinekm · Higher wins ↑	1,046	0	Would win
   Flag colourscolours · Higher wins ↑	2	9	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	27.8° N	16.7° S	Would lose

3. 3
   Round 3Won15 countries · 4 lives left

   North MacedoniavsCroatia

   Proximity to equator: 41.5° N vs 45.8° N from the equator · Closer wins ↓

   Conquered Croatia.

   Other category comparisons 2 other winning choices

   All eight categories for North Macedonia against Croatia

   Category	North Macedonia	Croatia	Result
   Areakm² · Higher wins ↑	25,713	56,594	Would lose
   Populationpeople · Higher wins ↑	1,827,816	3,859,686	Would lose
   Wealth per personint’l $ · Higher wins ↑	25,354	47,760	Would lose
   Densityper km² · Higher wins ↑	71.1	68.2	Would win
   Highest peakm · Higher wins ↑	2,764	1,831	Would win
   Coastlinekm · Higher wins ↑	0	5,835	Would lose
   Flag colourscolours · Higher wins ↑	2	6	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	41.5° N	45.8° N	Would win

4. 4
   Round 4Won16 countries · 4 lives left

   Dominican RepublicvsGermany

   Proximity to equator: 19.1° N vs 51.0° N from the equator · Closer wins ↓

   Conquered Germany.

   Other category comparisons 2 other winning choices

   All eight categories for Dominican Republic against Germany

   Category	Dominican Republic	Germany	Result
   Areakm² · Higher wins ↑	48,670	357,022	Would lose
   Populationpeople · Higher wins ↑	11,331,265	83,287,273	Would lose
   Wealth per personint’l $ · Higher wins ↑	25,861	72,262	Would lose
   Densityper km² · Higher wins ↑	232.8	233.3	Would lose
   Highest peakm · Higher wins ↑	3,098	2,963	Would win
   Coastlinekm · Higher wins ↑	1,288	2,389	Would lose
   Flag colourscolours · Higher wins ↑	6	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	19.1° N	51.0° N	Would win

5. 5
   Round 5Won17 countries · 4 lives left

   TajikistanvsBrazil

   Highest peak: 7,495 vs 2,994 m · Higher wins ↑

   Conquered Brazil.

   Other category comparisons 1 other winning choice

   All eight categories for Tajikistan against Brazil

   Category	Tajikistan	Brazil	Result
   Areakm² · Higher wins ↑	144,100	8,515,770	Would lose
   Populationpeople · Higher wins ↑	10,389,799	211,140,729	Would lose
   Wealth per personint’l $ · Higher wins ↑	4,968	21,193	Would lose
   Densityper km² · Higher wins ↑	72.1	24.8	Would win
   Highest peakm · Higher wins ↑ · Chosen	7,495	2,994	Would win
   Coastlinekm · Higher wins ↑	0	7,491	Would lose
   Flag colourscolours · Higher wins ↑	4	4	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	38.3° N	12.6° S	Would lose

6. 6
   Round 6Won18 countries · 4 lives left

   TurkmenistanvsLithuania

   Area: 488,100 vs 65,300 km² · Higher wins ↑

   Conquered Lithuania.

   Other category comparisons 4 other winning choices

   All eight categories for Turkmenistan against Lithuania

   Category	Turkmenistan	Lithuania	Result
   Areakm² · Higher wins ↑ · Chosen	488,100	65,300	Would win
   Populationpeople · Higher wins ↑	7,364,438	2,871,585	Would win
   Wealth per personint’l $ · Higher wins ↑	19,645	52,720	Would lose
   Densityper km² · Higher wins ↑	15.1	44.0	Would lose
   Highest peakm · Higher wins ↑	3,139	294	Would win
   Coastlinekm · Higher wins ↑	0	90	Would lose
   Flag colourscolours · Higher wins ↑	5	3	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	39.9° N	55.1° N	Would win

7. 7
   Round 7Won19 countries · 4 lives left

   GhanavsComoros

   Area: 238,533 vs 2,235 km² · Higher wins ↑

   Conquered Comoros.

   Other category comparisons 4 other winning choices

   All eight categories for Ghana against Comoros

   Category	Ghana	Comoros	Result
   Areakm² · Higher wins ↑ · Chosen	238,533	2,235	Would win
   Populationpeople · Higher wins ↑	33,787,914	850,387	Would win
   Wealth per personint’l $ · Higher wins ↑	7,563	3,897	Would win
   Densityper km² · Higher wins ↑	141.6	380.5	Would lose
   Highest peakm · Higher wins ↑	885	2,360	Would lose
   Coastlinekm · Higher wins ↑	539	340	Would win
   Flag colourscolours · Higher wins ↑	4	5	Would lose
   Proximity to equatorfrom the equator · Closer wins ↓	7.0° N	11.7° S	Would win

8. 8
   Round 8Won20 countries · 4 lives left

   El SalvadorvsZimbabwe

   Wealth per person: 12,667 vs 5,796 int’l $ · Higher wins ↑

   Conquered Zimbabwe.

   Other category comparisons 5 other winning choices

   All eight categories for El Salvador against Zimbabwe

   Category	El Salvador	Zimbabwe	Result
   Areakm² · Higher wins ↑	21,041	390,757	Would lose
   Populationpeople · Higher wins ↑	6,309,624	16,340,822	Would lose
   Wealth per personint’l $ · Higher wins ↑ · Chosen	12,667	5,796	Would win
   Densityper km² · Higher wins ↑	299.9	41.8	Would win
   Highest peakm · Higher wins ↑	2,730	2,592	Would win
   Coastlinekm · Higher wins ↑	307	0	Would win
   Flag colourscolours · Higher wins ↑	9	6	Would win
   Proximity to equatorfrom the equator · Closer wins ↓	13.9° N	19.0° S	Would win

9. 9
   Round 9Won21 countries · 4 lives left

   NetherlandsvsTrinidad and Tobago

   Wealth per person: 80,392 vs 34,652 int’l $ · Higher wins ↑

   Conquered Trinidad and Tobago.

   Other category comparisons 4 other winning choices

   All eight categories for Netherlands against Trinidad and Tobago

   Category	Netherlands	Trinidad and Tobago	Result
   Areakm² · Higher wins ↑	41,543	5,128	Would win
   Populationpeople · Higher wins ↑	17,877,117	1,367,510	Would win
   Wealth per personint’l $ · Higher wins ↑ · Chosen	80,392	34,652	Would win
   Densityper km² · Higher wins ↑	430.3	266.7	Would win
   Highest peakm · Higher wins ↑	322	940	Would lose
   Coastlinekm · Higher wins ↑	451	362	Would win
   Flag colourscolours · Higher wins ↑	3	3	Would tie
   Proximity to equatorfrom the equator · Closer wins ↓	52.2° N	10.3° N	Would lose

10. 10
    Round 10Won22 countries · 4 lives left

    KenyavsFrance

    Proximity to equator: 0.4° N vs 46.7° N from the equator · Closer wins ↓

    Conquered France.

    Other category comparisons 3 other winning choices

    All eight categories for Kenya against France

    Category	Kenya	France	Result
    Areakm² · Higher wins ↑	580,367	551,500	Would win
    Populationpeople · Higher wins ↑	55,339,003	65,925,961	Would lose
    Wealth per personint’l $ · Higher wins ↑	6,322	60,927	Would lose
    Densityper km² · Higher wins ↑	95.4	119.5	Would lose
    Highest peakm · Higher wins ↑	5,199	4,810	Would win
    Coastlinekm · Higher wins ↑	536	3,427	Would lose
    Flag colourscolours · Higher wins ↑	4	3	Would win
    Proximity to equatorfrom the equator · Closer wins ↓ · Chosen	0.4° N	46.7° N	Would win

11. 11
    Round 11Won23 countries · 4 lives left

    LebanonvsCyprus

    Density: 555.1 vs 145.4 per km² · Higher wins ↑

    Conquered Cyprus.

    Other category comparisons 4 other winning choices

    All eight categories for Lebanon against Cyprus

    Category	Lebanon	Cyprus	Result
    Areakm² · Higher wins ↑	10,400	9,251	Would win
    Populationpeople · Higher wins ↑	5,773,493	1,344,976	Would win
    Wealth per personint’l $ · Higher wins ↑	12,585	59,875	Would lose
    Densityper km² · Higher wins ↑ · Chosen	555.1	145.4	Would win
    Highest peakm · Higher wins ↑	3,088	1,951	Would win
    Coastlinekm · Higher wins ↑	225	648	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	34.2° N	34.9° N	Would win

12. 12
    Round 12Won24 countries · 4 lives left

    FinlandvsSierra Leone

    Wealth per person: 63,467 vs 3,371 int’l $ · Higher wins ↑

    Conquered Sierra Leone.

    Other category comparisons 2 other winning choices

    All eight categories for Finland against Sierra Leone

    Category	Finland	Sierra Leone	Result
    Areakm² · Higher wins ↑	338,145	71,740	Would win
    Populationpeople · Higher wins ↑	5,583,911	8,460,512	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	63,467	3,371	Would win
    Densityper km² · Higher wins ↑	16.5	117.9	Would lose
    Highest peakm · Higher wins ↑	1,328	1,948	Would lose
    Coastlinekm · Higher wins ↑	1,250	402	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	63.3° N	8.7° N	Would lose

13. 13
    Round 13Won25 countries · 4 lives left

    JapanvsRomania

    Wealth per person: 52,726 vs 45,982 int’l $ · Higher wins ↑

    Conquered Romania.

    Other category comparisons 6 other winning choices

    All eight categories for Japan against Romania

    Category	Japan	Romania	Result
    Areakm² · Higher wins ↑	377,915	238,391	Would win
    Populationpeople · Higher wins ↑	124,516,650	19,061,062	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	52,726	45,982	Would win
    Densityper km² · Higher wins ↑	329.5	80.0	Would win
    Highest peakm · Higher wins ↑	3,776	2,544	Would win
    Coastlinekm · Higher wins ↑	29,751	225	Would win
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	36.7° N	45.7° N	Would win

14. 14
    Round 14Won26 countries · 4 lives left

    BelgiumvsRussia

    Wealth per person: 72,630 vs 44,299 int’l $ · Higher wins ↑

    Conquered Russia.

    Other category comparisons 2 other winning choices

    All eight categories for Belgium against Russia

    Category	Belgium	Russia	Result
    Areakm² · Higher wins ↑	30,528	17,098,242	Would lose
    Populationpeople · Higher wins ↑	11,779,946	143,826,130	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	72,630	44,299	Would win
    Densityper km² · Higher wins ↑	385.9	8.4	Would win
    Highest peakm · Higher wins ↑	694	5,642	Would lose
    Coastlinekm · Higher wins ↑	66.5	37,653	Would lose
    Flag colourscolours · Higher wins ↑	3	3	Would tie
    Proximity to equatorfrom the equator · Closer wins ↓	50.8° N	63.6° N	Would win

15. 15
    Round 15Won27 countries · 4 lives left

    PakistanvsMadagascar

    Population: 247,504,495 vs 31,195,932 people · Higher wins ↑

    Conquered Madagascar.

    Other category comparisons 4 other winning choices

    All eight categories for Pakistan against Madagascar

    Category	Pakistan	Madagascar	Result
    Areakm² · Higher wins ↑	796,095	587,041	Would win
    Populationpeople · Higher wins ↑ · Chosen	247,504,495	31,195,932	Would win
    Wealth per personint’l $ · Higher wins ↑	6,019	1,810	Would win
    Densityper km² · Higher wins ↑	310.9	53.1	Would win
    Highest peakm · Higher wins ↑	8,611	2,876	Would win
    Coastlinekm · Higher wins ↑	1,046	4,828	Would lose
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	27.8° N	18.4° S	Would lose

16. 16
    Round 16Won28 countries · 4 lives left

    BoliviavsBangladesh

    Area: 1,098,581 vs 148,460 km² · Higher wins ↑

    Conquered Bangladesh.

    Other category comparisons 4 other winning choices

    All eight categories for Bolivia against Bangladesh

    Category	Bolivia	Bangladesh	Result
    Areakm² · Higher wins ↑ · Chosen	1,098,581	148,460	Would win
    Populationpeople · Higher wins ↑	12,244,159	171,466,990	Would lose
    Wealth per personint’l $ · Higher wins ↑	12,903	9,155	Would win
    Densityper km² · Higher wins ↑	11.1	1,155.0	Would lose
    Highest peakm · Higher wins ↑	6,542	1,060	Would win
    Coastlinekm · Higher wins ↑	0	580	Would lose
    Flag colourscolours · Higher wins ↑	9	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	16.7° S	24.3° N	Would win

17. 17
    Round 17Won29 countries · 4 lives left

    North MacedoniavsNiger

    Wealth per person: 25,354 vs 1,903 int’l $ · Higher wins ↑

    Conquered Niger.

    Other category comparisons 2 other winning choices

    All eight categories for North Macedonia against Niger

    Category	North Macedonia	Niger	Result
    Areakm² · Higher wins ↑	25,713	1,267,000	Would lose
    Populationpeople · Higher wins ↑	1,827,816	26,159,867	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	25,354	1,903	Would win
    Densityper km² · Higher wins ↑	71.1	20.6	Would win
    Highest peakm · Higher wins ↑	2,764	2,022	Would win
    Coastlinekm · Higher wins ↑	0	0	Would tie
    Flag colourscolours · Higher wins ↑	2	3	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	41.5° N	17.6° N	Would lose

18. 18
    Round 18Won30 countries · 4 lives left

    CroatiavsNigeria

    Wealth per person: 47,760 vs 8,712 int’l $ · Higher wins ↑

    Conquered Nigeria.

    Other category comparisons 2 other winning choices

    All eight categories for Croatia against Nigeria

    Category	Croatia	Nigeria	Result
    Areakm² · Higher wins ↑	56,594	923,768	Would lose
    Populationpeople · Higher wins ↑	3,859,686	227,882,945	Would lose
    Wealth per personint’l $ · Higher wins ↑ · Chosen	47,760	8,712	Would win
    Densityper km² · Higher wins ↑	68.2	246.7	Would lose
    Highest peakm · Higher wins ↑	1,831	2,419	Would lose
    Coastlinekm · Higher wins ↑	5,835	853	Would win
    Flag colourscolours · Higher wins ↑	6	2	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	45.8° N	9.4° N	Would lose

19. 19
    Round 19Won31 countries · 4 lives left

    Dominican RepublicvsCabo Verde

    Area: 48,670 vs 4,033 km² · Higher wins ↑

    Conquered Cabo Verde.

    Other category comparisons 6 other winning choices

    All eight categories for Dominican Republic against Cabo Verde

    Category	Dominican Republic	Cabo Verde	Result
    Areakm² · Higher wins ↑ · Chosen	48,670	4,033	Would win
    Populationpeople · Higher wins ↑	11,331,265	522,331	Would win
    Wealth per personint’l $ · Higher wins ↑	25,861	10,251	Would win
    Densityper km² · Higher wins ↑	232.8	129.5	Would win
    Highest peakm · Higher wins ↑	3,098	2,829	Would win
    Coastlinekm · Higher wins ↑	1,288	965	Would win
    Flag colourscolours · Higher wins ↑	6	4	Would win
    Proximity to equatorfrom the equator · Closer wins ↓	19.1° N	15.0° N	Would lose

20. 20
    Round 20Won32 countries · 4 lives left

    GermanyvsFiji

    Wealth per person: 72,262 vs 14,656 int’l $ · Higher wins ↑

    Conquered Fiji.

    Other category comparisons 5 other winning choices

    All eight categories for Germany against Fiji

    Category	Germany	Fiji	Result
    Areakm² · Higher wins ↑	357,022	18,274	Would win
    Populationpeople · Higher wins ↑	83,287,273	924,145	Would win
    Wealth per personint’l $ · Higher wins ↑ · Chosen	72,262	14,656	Would win
    Densityper km² · Higher wins ↑	233.3	50.6	Would win
    Highest peakm · Higher wins ↑	2,963	1,324	Would win
    Coastlinekm · Higher wins ↑	2,389	1,129	Would win
    Flag colourscolours · Higher wins ↑	3	8	Would lose
    Proximity to equatorfrom the equator · Closer wins ↓	51.0° N	17.8° S	Would lose