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OddsFlow AI Analysis
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53Global
Possession-basedTotal football
⚡Attaque
51
⚙️Milieu
55
🛡️Défense
46
🧤Gardien
62
26Taille
25.9Âge Moy.
60.9OVR Moy.
84.0Score Prof.
53Global
Possession-basedTotal football
⚡Attaque
51
⚙️Milieu
55
🛡️Défense
46
🧤Gardien
62
26Taille
25.9Âge Moy.
60.9OVR Moy.
84.0Score Prof.
Joueurs Vedettes

A. Freeman
Defender
OPR 72

R. Pepi
Attacker
19G 4A (1857min)

S. Berhalter
Midfielder
7G 5A (1813min)

C. Richards
Defender
3G 0A (4807min)

C. Pulišić
Attacker
12G 6A (2152min)
Probabilité du Tournoi
1.1%ChampionChampion
1.1%
65.2%Sortir du GroupeSortir du Groupe
65.2%
Manager & Tactical Profile
· Appointed
Team Strength & Intelligence
51
ATK
54
MID
46
DEF
83
GK
1.39
λ Attack
0.93
λ Defense
25
Chemistry
84
Depth
5.4
Star Gap
25.9
Avg Age
Top Scorer
R. Pepi
19 goals
Best Rated
S. Berhalter
7.54
Club Clusters
PSV Eindhoven (2)Borussia Mönchengladbach (2)
WC Experience
Appearances11
Best Finish3rd 1930
Last WC2022
Physical Resilience
Avg Mins/Season2,240
FatigueFast recovery — young squad handles cumulative fatigue well
MiamiMODERATE
MonterreyMODERATE
Hot Climate %46%
Cooperation
Score41/100
Total Clubs23
Same-Club Pairs2
Same-League102
Average — typical international squad
H2H Matchup Predictions(47)
WinDrawLoss
Curaçao
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 48%
Haïti
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 47%
Afrique du Sud
0-1▼
53%
26%
21%
xG 1.6 – 0.9O2.5 44%BTTS 47%
Irak
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 46%BTTS 47%
South Korea
0-1▼
53%
26%
22%
xG 1.6 – 0.9O2.5 45%BTTS 47%
Iran
1-0▼
52%
26%
22%
xG 1.6 – 0.9O2.5 45%BTTS 47%
Ouzbékistan
0-1▼
52%
25%
23%
xG 1.5 – 0.9O2.5 44%BTTS 46%
Cape Verde Islands
1-1▼
52%
24%
24%
xG 1.7 – 1.1O2.5 51%BTTS 53%
Égypte
1-1▼
49%
24%
27%
xG 1.7 – 1.2O2.5 55%BTTS 57%
Qatar
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
Tunisie
1-1▼
44%
26%
30%
xG 1.6 – 1.3O2.5 53%BTTS 56%
Ghana
1-1▼
43%
26%
31%
xG 1.4 – 1.2O2.5 48%BTTS 52%
Australie
1-1▼
43%
27%
30%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Nouvelle-Zélande
1-1▼
43%
26%
31%
xG 1.5 – 1.2O2.5 50%BTTS 55%
Arabie saoudite
1-1▼
43%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
Panama
1-1▼
43%
26%
31%
xG 1.4 – 1.2O2.5 48%BTTS 52%
Mexique
1-1▼
42%
25%
33%
xG 1.5 – 1.3O2.5 53%BTTS 57%
Jordanie
1-1▼
42%
26%
32%
xG 1.4 – 1.1O2.5 45%BTTS 50%
Bosnia & Herzegovina
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 52%
Algérie
1-1▼
42%
25%
33%
xG 1.5 – 1.3O2.5 54%BTTS 57%
Canada
1-1▼
41%
26%
34%
xG 1.4 – 1.3O2.5 50%BTTS 54%
Paraguay
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
RD Congo
1-1▼
41%
25%
34%
xG 1.4 – 1.3O2.5 51%BTTS 55%
Équateur
1-1▼
40%
26%
33%
xG 1.3 – 1.2O2.5 45%BTTS 50%
Norvège
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Écosse
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 49%BTTS 53%
Colombie
1-1▼
38%
26%
35%
xG 1.3 – 1.3O2.5 47%BTTS 52%
Czech Republic
1-1▼
38%
26%
36%
xG 1.3 – 1.3O2.5 49%BTTS 53%
Ivory Coast
1-1▼
38%
26%
36%
xG 1.3 – 1.3O2.5 47%BTTS 52%
Japon
1-1▼
38%
25%
37%
xG 1.4 – 1.4O2.5 51%BTTS 55%
Maroc
1-1▼
38%
27%
35%
xG 1.3 – 1.2O2.5 46%BTTS 51%
Suisse
1-1▼
38%
26%
37%
xG 1.3 – 1.3O2.5 48%BTTS 52%
Autriche
1-1▼
37%
26%
36%
xG 1.3 – 1.3O2.5 48%BTTS 53%
Suède
1-1▼
37%
27%
36%
xG 1.3 – 1.3O2.5 46%BTTS 51%
Sénégal
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 49%BTTS 53%
Uruguay
1-1▼
35%
26%
39%
xG 1.3 – 1.3O2.5 49%BTTS 53%
Croatie
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 48%BTTS 53%
Turquie
1-1▼
35%
27%
38%
xG 1.3 – 1.3O2.5 48%BTTS 54%
Pays-Bas
1-1▼
35%
26%
39%
xG 1.2 – 1.4O2.5 48%BTTS 53%
Brésil
1-1▼
34%
26%
40%
xG 1.2 – 1.4O2.5 49%BTTS 53%
Belgique
1-1▼
34%
27%
39%
xG 1.2 – 1.3O2.5 47%BTTS 52%
Argentine
1-1▼
33%
26%
41%
xG 1.2 – 1.4O2.5 49%BTTS 54%
Espagne
1-1▼
32%
27%
41%
xG 1.2 – 1.4O2.5 48%BTTS 53%
Allemagne
1-1▼
32%
27%
41%
xG 1.2 – 1.4O2.5 48%BTTS 53%
Portugal
1-1▼
32%
26%
42%
xG 1.2 – 1.4O2.5 49%BTTS 53%
Angleterre
1-1▼
32%
26%
42%
xG 1.2 – 1.4O2.5 50%BTTS 54%
France
1-1▼
30%
26%
44%
xG 1.2 – 1.5O2.5 50%BTTS 54%
Sensitivity Analysis(51 scenarios)
Rank Distribution Across Scenarios
Heat ×0▼1
#5
Heat ×0.5▼1
#5
Heat ×1.25▼1
#5
Heat ×1.5▼1
#5
Altitude ×0▼1
#5
Altitude ×3▼1
#5
Altitude ×1.75▼1
#5
Travel ×1.25▼1
#5
Travel ×1.5▼1
#5
Travel ×2▼1
#5
Travel ×2.5▼1
#5
Travel ×3▼1
#5
Travel ×1.75▼1
#5
Host ×1.5▼1
#5
Host ×3▼1
#5
Mismatch t=0.15 a=0.7▼1
#5
Mismatch t=0.2 a=0.9▼1
#5
Spread 2.1▼1
#5
Spread 2.5▼1
#5
Spread 3▼1
#5
Penalty rand=0.7▼1
#5
Baseline—
#6
Heat ×0.75—
#6
Heat ×2—
#6
Heat ×2.5—
#6
Heat ×1.75—
#6
Altitude ×0.5—
#6
Altitude ×0.75—
#6
Altitude ×1.25—
#6
Altitude ×0.25—
#6
Travel ×0.75—
#6
Host ×2—
#6
Mismatch t=0.05 a=0.3—
#6
Mismatch t=0.1 a=0.5—
#6
Mismatch t=0.3 a=1.2—
#6
Spread 1.5—
#6
Uplift 1.15—
#6
Altitude ×2.5▲1
#7
Host ×0.5▲1
#7
Penalty rand=0.5▲1
#7
Uplift 1▲1
#7
Heat ×3▲2
#8
Heat ×0.25▲2
#8
Altitude ×1.5▲2
#8
Altitude ×2▲2
#8
Travel ×0▲2
#8
Travel ×0.5▲2
#8
Travel ×0.25▲2
#8
Host ×0▲2
#8
Spread 1▲2
#8
Penalty rand=0.3▲2
#8
Baseline: #6·Lower rank = stronger
baseline
1 scenarios · #6
heat
10 scenarios · #5–#8
altitude
10 scenarios · #5–#8
travel
10 scenarios · #5–#8
host
5 scenarios · #5–#8
mismatch
5 scenarios · #5–#6
spread
5 scenarios · #5–#8
penalty
3 scenarios · #5–#8
uplift
2 scenarios · #6–#7