Hi guys, after I saw this results, I think there a some slovenian roots (Maybe because of the Austro-Hungarian Empire?)
What do you think about the results?


MDLP K16
Using 1 population approximation:
1 German_Lipsian_(Saxony) @ 3.596367
2 Pole_EastPoland @ 3.960353
3 Hungarian_Hungary @ 4.103852
4 Slovak_Slovakia @ 4.126321
5 Croat_Croatia @ 4.675105
6 Dutch_Netherlands @ 4.681519
7 Pole_Wroclaw @ 4.983263
8 Slovenian_Slovenia @ 5.100706
9 Hungarian_WestUkraine @ 5.177724
10 Czech_Czechia @ 5.424146
11 Pole_WestPoland @ 5.473457
12 Hungarian_Budapest @ 5.600046
13 Ukrainian_Ukraine @ 5.633864
14 Sorb_Lusatia @ 5.647011
15 German_Germany @ 5.814102
16 Ukrainians_west_WestUkraine @ 6.063597
17 Croat_Bosnia-Herzegovina @ 6.426708
18 Bosnian_Bosnia-Herzegovina @ 6.506732
19 German_NorthGermany @ 6.607192
20 German_SouthGermany @ 6.719478

MDLP K23b
# Population (source) Distance
1 Hungarian ( ) 3.65
2 Hungarian_Budapest ( ) 3.77
3 Slovenian ( ) 4.02
4 Slovak ( ) 4.18
5 Czech ( ) 4.22
6 Kashub ( ) 5.92
7 Austrian ( ) 6.47
8 Ukrainian_West ( ) 6.6
9 Sorb ( ) 6.87
10 German ( ) 7.46
11 Croat ( ) 8.72
12 Serb_Serbia ( ) 8.78
13 Bosnian ( ) 8.91
14 Serb_BH ( ) 9.02
15 German_East ( ) 9.27
16 Croat_BH ( ) 9.34
17 Ukrainian_Center ( ) 9.58
18 Belarusian_West ( ) 9.67
19 Belarusian-East ( ) 10.02
20 Ukrainian_East ( ) 10.25

MDLP World-22
# Population (source) Distance
1 German (derived) 2.82
2 German-North (derived) 3.46
3 Slovenian (derived) 4.09
4 Hungarian (derived) 4.38
5 German_V (derived) 5.14
6 CEU_V (derived) 5.31
7 Swedish (derived) 5.54
8 Austrian (derived) 5.64
9 Czech (derived) 5.86
10 Croatian (derived) 5.98
11 Croatian_V (derived) 6.41
12 Slovakian (derived) 6.98
13 Swedish_V (derived) 7.38
14 Bosnian (derived) 7.57
15 Welsh (derived) 8.96
16 Norwegian_V (derived) 9.27
17 CEU (derived) 10.44
18 Serbian (derived) 11.2
19 Ukrainian-West (derived) 11.44
20 British (derived) 11.47

MDLP World
# Population (source) Distance
1 Czech 1.58
2 Slovakian 2.54
3 German 2.78
4 German-North 3.01
5 Slovenian 3.05
6 Croatian_V 3.61
7 Hungarian 4.33
8 CEU_V 4.52
9 German_V 4.96
10 Norwegian_V 5.12
11 Swedish 5.28
12 Croatian 5.47
13 Austrian 5.56
14 Ukrainian-West 6.47
15 Swedish_V 7.04
16 Sorb 7.19
17 Welsh 7.19
18 Ukrainian_V 7.2
19 Bosnian 7.41
20 CEU 7.43

Dodecad V3
# Population (source) Distance
1 Slovenian (Xing) 4.87
2 Hungarians (Behar) 7.17
3 German (Dodecad) 9.99
4 CEU (HapMap) 14.27
5 N._European (Xing) 14.76
6 Argyll (1000 Genomes) 15.05
7 Orcadian (HGDP) 15.66
8 Orkney (1000 Genomes) 15.9
9 Balkans (Dodecad) 19.5
10 French (Dodecad) 20.31
11 FIN (1000Genomes) 20.87
12 French (HGDP) 20.92
13 Mixed_Germanic (Dodecad) 21.87
14 Polish (Dodecad) 22.18
15 Romanians_14 (Behar) 22.62
16 Mixed_Slav (Dodecad) 22.98
17 Dutch (Dodecad) 23.2
18 Swedish (Dodecad) 24.13
19 Kent (1000 Genomes) 25.22
20 Finnish (Dodecad) 26.28

HarappaWorld
# Population (source) Distance
1 slovenian (xing) 4.41
2 hungarian (behar) 4.96
3 n-european (xing) 6.86
4 utahn-white (hapmap) 8.47
5 ukranian (yunusbayev) 8.73
6 utahn-white (1000genomes) 9.73
7 british (1000genomes) 11.52
8 orcadian (hgdp) 12.42
9 belorussian (behar) 13.48
10 french (hgdp) 14.79
11 mordovian (yunusbayev) 15.22
12 russian (behar) 15.48
13 russian (hgdp) 17.77
14 lithuanian (behar) 20.12
15 romanian-a (behar) 20.26
16 bulgarian (yunusbayev) 22.3
17 chuvash (behar) 24.63
18 spaniard (behar) 26.59
19 italian (hgdp) 26.76
20 spaniard (1000genomes) 27.65

PuntDNAL K13
# Population (source) Distance
1 Ukrainian 2.48
2 German_North 3.22
3 Slovak 3.9
4 Slovene 5.67
5 Norwegian 5.86
6 Utahn_European 6.42
7 Irish 6.56
8 Hungarian 6.72
9 Swedish 6.84
10 Orcadian 7.09
11 Scottish 7.26
12 English 7.47
13 Belarusian 7.6
14 Moldavian 9.19
15 Croatian 9.33
16 German_South 9.72
17 Belgian 10.01
18 Bosnian 10.67
19 Mordovian 12.06
20 Polish 12.13

PuntDNAL K15
# Population (source) Distance
1 North_German 2.11
2 Norwegian 2.12
3 Scottish 2.42
4 Orcadian 2.55
5 English 3.39
6 Irish 3.62
7 Swedish 3.7
8 Austrian 4.11
9 Slovenian 4.38
10 Hungarian 5.53
11 Utahn_White 6.72
12 Polish 6.92
13 Croatian 7.37
14 South_German 7.45
15 French 10.87
16 Serbian 11.92
17 Belarusian 13.55
18 Russian 13.86
19 Mordovian 13.87
20 Karelian 14.85

Please don't wonder, I used the option to find the right Gedmatch calculators for a specific ethnicity