AI
OddsFlow AI Analysis
Powered by Machine Learning
51総合
⚡攻撃
49
⚙️中盤
54
🛡️守備
47
🧤GK
60
26人数
26.9平均年齢
61.9平均OVR
86.0深度スコア
51総合
⚡攻撃
49
⚙️中盤
54
🛡️守備
47
🧤GK
60
26人数
26.9平均年齢
61.9平均OVR
86.0深度スコア
スター選手
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)
大会確率
4.3%優勝優勝
4.3%
85.5%グループ突破グループ突破
85.5%
強み
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
イラク
1-0▼
58%
24%
19%
xG 1.7 – 0.8O2.5 46%BTTS 46%
ウズベキスタン
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%
キュラソー
0-1▼
57%
24%
19%
xG 1.6 – 0.8O2.5 44%BTTS 45%
南アフリカ
0-1▼
56%
24%
19%
xG 1.6 – 0.8O2.5 45%BTTS 46%
ハイチ
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%
エジプト
1-1▼
53%
23%
25%
xG 1.8 – 1.1O2.5 56%BTTS 57%
チュニジア
1-1▼
49%
25%
26%
xG 1.6 – 1.1O2.5 53%BTTS 55%
カタール
0-1▼
48%
25%
27%
xG 1.5 – 1.1O2.5 48%BTTS 51%
パナマ
1-0▼
48%
25%
27%
xG 1.5 – 1.1O2.5 47%BTTS 50%
メキシコ
1-1▼
48%
24%
28%
xG 1.6 – 1.2O2.5 53%BTTS 56%
オーストラリア
1-1▼
48%
25%
27%
xG 1.5 – 1.1O2.5 48%BTTS 52%
サウジアラビア
1-1▼
47%
25%
28%
xG 1.5 – 1.1O2.5 49%BTTS 53%
ニュージーランド
1-1▼
47%
26%
28%
xG 1.6 – 1.1O2.5 50%BTTS 54%
アルジェリア
1-1▼
46%
25%
29%
xG 1.6 – 1.2O2.5 53%BTTS 57%
ガーナ
1-1▼
46%
26%
28%
xG 1.5 – 1.1O2.5 47%BTTS 51%
ヨルダン
1-1▼
46%
26%
28%
xG 1.4 – 1.1O2.5 45%BTTS 49%
カナダ
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%
パラグアイ
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
コンゴ民主共和国
1-1▼
45%
25%
30%
xG 1.5 – 1.2O2.5 50%BTTS 53%
エクアドル
1-1▼
43%
26%
30%
xG 1.4 – 1.1O2.5 47%BTTS 52%
ノルウェー
1-1▼
42%
26%
31%
xG 1.4 – 1.2O2.5 50%BTTS 54%
スコットランド
1-1▼
42%
27%
31%
xG 1.4 – 1.2O2.5 48%BTTS 53%
日本
1-1▼
42%
25%
33%
xG 1.4 – 1.2O2.5 50%BTTS 54%
アメリカ
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
オーストリア
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%
モロッコ
1-1▼
41%
26%
33%
xG 1.3 – 1.2O2.5 46%BTTS 50%
セネガル
1-1▼
41%
26%
34%
xG 1.4 – 1.2O2.5 48%BTTS 53%
スウェーデン
1-1▼
41%
27%
33%
xG 1.4 – 1.2O2.5 49%BTTS 54%
コロンビア
1-1▼
40%
27%
33%
xG 1.4 – 1.2O2.5 47%BTTS 52%
スイス
1-1▼
40%
26%
34%
xG 1.3 – 1.2O2.5 47%BTTS 51%
クロアチア
1-1▼
40%
25%
35%
xG 1.4 – 1.3O2.5 49%BTTS 53%
ウルグアイ
1-1▼
39%
27%
34%
xG 1.3 – 1.2O2.5 47%BTTS 52%
トルコ
1-1▼
39%
27%
35%
xG 1.3 – 1.3O2.5 48%BTTS 53%
オランダ
1-1▼
37%
26%
36%
xG 1.3 – 1.3O2.5 47%BTTS 52%
ポルトガル
1-1▼
37%
26%
37%
xG 1.3 – 1.3O2.5 49%BTTS 53%
イングランド
1-1▼
36%
27%
37%
xG 1.3 – 1.3O2.5 49%BTTS 54%
アルゼンチン
1-1▼
36%
26%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
ブラジル
1-1▼
36%
27%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
スペイン
1-1▼
36%
26%
39%
xG 1.3 – 1.3O2.5 48%BTTS 53%
ドイツ
1-1▼
36%
26%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
フランス
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
