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OddsFlow AI Analysis
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51종합
⚡공격
49
⚙️미드필드
54
🛡️수비
47
🧤골키핑
60
26인원
26.9평균 나이
61.9평균 OVR
86.0깊이 점수
51종합
⚡공격
49
⚙️미드필드
54
🛡️수비
47
🧤골키핑
60
26인원
26.9평균 나이
61.9평균 OVR
86.0깊이 점수
스타 선수
J. Doku
Attacker
10G 12A (3638min)
T. Courtois
Goalkeeper
OPR 74
A. Saelemaekers
Midfielder
3G 5A (3091min)
H. Vanaken
Midfielder
11G 7A (4633min)
L. Trossard
Midfielder
8G 10A (3096min)
대회 확률
4.3%우승우승
4.3%
85.5%조별 통과조별 통과
85.5%
강점
Deep squad rotation
Manager & Tactical Profile
Rudi Garcia
French · Appointed January 24, 2025
4-3-33rd place (2018)
Ligue 1 (Lille 2011)Coupe de France (Lille 2011)
Qualifying
Winners — Unbeaten 5W-3D-0L
Notable Facts
- ◆Beat Wales 4-3 from 3-0 up
- ◆7-0 vs Liechtenstein on final day
- ◆De Bruyne now at Napoli
- ◆Lukaku fitness crisis - only 5 Serie A sub apps
Philosophy
Transitioning from golden generation, blending veterans with youth. Pragmatic, defensive organization.
Manager Analysis
Rudi Garcia faces perhaps the most challenging job at the 2026 World Cup — managing Belgium's transition from their legendary golden generation to an uncertain future. Appointed in January 2025 after Domenico Tedesco's disastrous Nations League campaign, Garcia must integrate aging stars like De Bruyne (now at Napoli), Courtois, and a fitness-compromised Lukaku alongside emerging talents who are not yet proven at the highest level. His Ligue 1 title with Lille in 2011 remains his signature achievement, proving he can build competitive teams from limited resources.
Tactical Deep Dive
Garcia alternates between a 4-3-3 and 4-2-3-1 depending on the opponent. The system revolves around De Bruyne as the sole creative fulcrum — a role that differs from his Napoli setup under Conte, where he operates as one of two attacking midfielders in a 3-4-2-1. Belgium's biggest concern is Lukaku's fitness: with only 5 Serie A appearances as a substitute this season (39 total minutes), the 124-cap striker may not be physically ready for tournament football. Doku provides explosive pace on the right wing, while Trossard offers intelligence on the left.
Predicted Starting XI
Thibaut Courtois
Real Madrid
Timothy Castagne
Fulham
Zeno Debast
Sporting CP
Arthur Theate
Eintracht Frankfurt
Minor - back-3 to back-4
Maxim De Cuyper
Brighton
Youri Tielemans
Aston Villa
Minor - deeper CM for Belgium
Amadou Onana
Aston Villa
Kevin De Bruyne
Napoli
Moderate - system change
Jérémy Doku
Manchester City
Minor - both flanks at club, right for Belgium
Leandro Trossard
Arsenal
Romelu Lukaku
Napoli
None (fitness doubt)
Key Bench
Charles De Ketelaere
Atalanta · AM/SS rotation
Hans Vanaken
Club Brugge · Creative midfield sub
Thomas Meunier
Lille · Backup RB
Axel Witsel
Atletico Madrid · Veteran MF/CB cover
Team Strength & Intelligence
49
ATK
54
MID
47
DEF
60
GK
1.40
λ Attack
1.15
λ Defense
56
Chemistry
86
Depth
11.7
Star Gap
26.9
Avg Age
Top Scorer
M. Fernandez-Pardo
8 goals
Best Rated
H. Vanaken
7.73
Club Clusters
Club Brugge KV (3)Lille (3)AC Milan (2)Napoli (2)Aston Villa (2)
WC Experience
Appearances14
Best Finish3rd 2018
Last WC2022
Physical Resilience
Avg Mins/Season2,912
FatigueGood recovery — peak physical years
MiamiMODERATE
MonterreyMODERATE
Hot Climate %0%
Cooperation
Score46/100
Total Clubs18
Same-Club Pairs9
Same-League94
Average — typical international squad
H2H Matchup Predictions(47)
WinDrawLoss
이라크
1-0▼
58%
24%
19%
xG 1.7 – 0.8O2.5 46%BTTS 46%
우즈베키스탄
0-1▼
57%
24%
18%
xG 1.6 – 0.8O2.5 44%BTTS 45%
Iran
0-1▼
57%
24%
19%
xG 1.7 – 0.8O2.5 46%BTTS 46%
South Korea
1-0▼
57%
25%
18%
xG 1.7 – 0.8O2.5 45%BTTS 46%
퀴라소
0-1▼
57%
24%
19%
xG 1.6 – 0.8O2.5 44%BTTS 45%
남아프리카
0-1▼
56%
24%
19%
xG 1.6 – 0.8O2.5 45%BTTS 46%
아이티
0-1▼
56%
25%
19%
xG 1.6 – 0.8O2.5 45%BTTS 46%
Cape Verde Islands
0-1▼
56%
23%
21%
xG 1.8 – 1.0O2.5 51%BTTS 51%
이집트
1-1▼
53%
23%
25%
xG 1.8 – 1.1O2.5 56%BTTS 57%
튀니지
1-1▼
49%
25%
26%
xG 1.6 – 1.1O2.5 53%BTTS 55%
카타르
0-1▼
48%
25%
27%
xG 1.5 – 1.1O2.5 48%BTTS 51%
파나마
1-0▼
48%
25%
27%
xG 1.5 – 1.1O2.5 47%BTTS 50%
멕시코
1-1▼
48%
24%
28%
xG 1.6 – 1.2O2.5 53%BTTS 56%
호주
1-1▼
48%
25%
27%
xG 1.5 – 1.1O2.5 48%BTTS 52%
사우디아라비아
1-1▼
47%
25%
28%
xG 1.5 – 1.1O2.5 49%BTTS 53%
뉴질랜드
1-1▼
47%
26%
28%
xG 1.6 – 1.1O2.5 50%BTTS 54%
알제리
1-1▼
46%
25%
29%
xG 1.6 – 1.2O2.5 53%BTTS 57%
가나
1-1▼
46%
26%
28%
xG 1.5 – 1.1O2.5 47%BTTS 51%
요르단
1-1▼
46%
26%
28%
xG 1.4 – 1.1O2.5 45%BTTS 49%
캐나다
1-1▼
45%
26%
29%
xG 1.5 – 1.2O2.5 50%BTTS 54%
Bosnia & Herzegovina
1-1▼
45%
26%
29%
xG 1.5 – 1.1O2.5 48%BTTS 52%
파라과이
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
콩고민주공화국
1-1▼
45%
25%
30%
xG 1.5 – 1.2O2.5 50%BTTS 53%
에콰도르
1-1▼
43%
26%
30%
xG 1.4 – 1.1O2.5 47%BTTS 52%
노르웨이
1-1▼
42%
26%
31%
xG 1.4 – 1.2O2.5 50%BTTS 54%
스코틀랜드
1-1▼
42%
27%
31%
xG 1.4 – 1.2O2.5 48%BTTS 53%
일본
1-1▼
42%
25%
33%
xG 1.4 – 1.2O2.5 50%BTTS 54%
미국
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
오스트리아
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Czech Republic
1-1▼
41%
27%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Ivory Coast
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
모로코
1-1▼
41%
26%
33%
xG 1.3 – 1.2O2.5 46%BTTS 50%
세네갈
1-1▼
41%
26%
34%
xG 1.4 – 1.2O2.5 48%BTTS 53%
스웨덴
1-1▼
41%
27%
33%
xG 1.4 – 1.2O2.5 49%BTTS 54%
콜롬비아
1-1▼
40%
27%
33%
xG 1.4 – 1.2O2.5 47%BTTS 52%
스위스
1-1▼
40%
26%
34%
xG 1.3 – 1.2O2.5 47%BTTS 51%
크로아티아
1-1▼
40%
25%
35%
xG 1.4 – 1.3O2.5 49%BTTS 53%
우루과이
1-1▼
39%
27%
34%
xG 1.3 – 1.2O2.5 47%BTTS 52%
튀르키예
1-1▼
39%
27%
35%
xG 1.3 – 1.3O2.5 48%BTTS 53%
네덜란드
1-1▼
37%
26%
36%
xG 1.3 – 1.3O2.5 47%BTTS 52%
포르투갈
1-1▼
37%
26%
37%
xG 1.3 – 1.3O2.5 49%BTTS 53%
잉글랜드
1-1▼
36%
27%
37%
xG 1.3 – 1.3O2.5 49%BTTS 54%
아르헨티나
1-1▼
36%
26%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
브라질
1-1▼
36%
27%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
스페인
1-1▼
36%
26%
39%
xG 1.3 – 1.3O2.5 48%BTTS 53%
독일
1-1▼
36%
26%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
프랑스
1-1▼
34%
26%
39%
xG 1.2 – 1.3O2.5 48%BTTS 52%
Sensitivity Analysis(51 scenarios)
Rank Distribution Across Scenarios
Baseline—
#4
Heat ×0—
#4
Heat ×0.5—
#4
Heat ×0.75—
#4
Heat ×1.25—
#4
Heat ×1.5—
#4
Heat ×2—
#4
Heat ×2.5—
#4
Heat ×3—
#4
Heat ×0.25—
#4
Heat ×1.75—
#4
Altitude ×0—
#4
Altitude ×0.5—
#4
Altitude ×0.75—
#4
Altitude ×1.25—
#4
Altitude ×1.5—
#4
Altitude ×2—
#4
Altitude ×2.5—
#4
Altitude ×3—
#4
Altitude ×0.25—
#4
Altitude ×1.75—
#4
Travel ×0—
#4
Travel ×0.5—
#4
Travel ×0.75—
#4
Travel ×1.25—
#4
Travel ×1.5—
#4
Travel ×2—
#4
Travel ×2.5—
#4
Travel ×3—
#4
Travel ×0.25—
#4
Travel ×1.75—
#4
Host ×0—
#4
Host ×0.5—
#4
Host ×1.5—
#4
Host ×2—
#4
Host ×3—
#4
Mismatch t=0.05 a=0.3—
#4
Mismatch t=0.1 a=0.5—
#4
Mismatch t=0.15 a=0.7—
#4
Mismatch t=0.2 a=0.9—
#4
Mismatch t=0.3 a=1.2—
#4
Spread 1—
#4
Spread 1.5—
#4
Spread 2.1—
#4
Spread 2.5—
#4
Spread 3—
#4
Penalty rand=0.3—
#4
Penalty rand=0.5—
#4
Penalty rand=0.7—
#4
Uplift 1—
#4
Uplift 1.15—
#4
Baseline: #4·Lower rank = stronger
baseline
1 scenarios · #4
heat
10 scenarios · #4
altitude
10 scenarios · #4
travel
10 scenarios · #4
host
5 scenarios · #4
mismatch
5 scenarios · #4
spread
5 scenarios · #4
penalty
3 scenarios · #4
uplift
2 scenarios · #4
