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OddsFlow AI Analysis
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53الإجمالي
Possession-basedTotal football
⚡الهجوم
51
⚙️الوسط
55
🛡️الدفاع
46
🧤حراسة المرمى
62
26الحجم
25.9متوسط العمر
60.9متوسط OVR
84.0درجة العمق
53الإجمالي
Possession-basedTotal football
⚡الهجوم
51
⚙️الوسط
55
🛡️الدفاع
46
🧤حراسة المرمى
62
26الحجم
25.9متوسط العمر
60.9متوسط OVR
84.0درجة العمق
اللاعبون النجوم

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)
احتمالات البطولة
1.1%البطلالبطل
1.1%
65.2%التأهل من المجموعةالتأهل من المجموعة
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
كوراساو
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 48%
هايتي
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 47%
جنوب أفريقيا
0-1▼
53%
26%
21%
xG 1.6 – 0.9O2.5 44%BTTS 47%
العراق
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%
أوزبكستان
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%
مصر
1-1▼
49%
24%
27%
xG 1.7 – 1.2O2.5 55%BTTS 57%
قطر
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
تونس
1-1▼
44%
26%
30%
xG 1.6 – 1.3O2.5 53%BTTS 56%
غانا
1-1▼
43%
26%
31%
xG 1.4 – 1.2O2.5 48%BTTS 52%
أستراليا
1-1▼
43%
27%
30%
xG 1.4 – 1.2O2.5 48%BTTS 53%
نيوزيلندا
1-1▼
43%
26%
31%
xG 1.5 – 1.2O2.5 50%BTTS 55%
السعودية
1-1▼
43%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
بنما
1-1▼
43%
26%
31%
xG 1.4 – 1.2O2.5 48%BTTS 52%
المكسيك
1-1▼
42%
25%
33%
xG 1.5 – 1.3O2.5 53%BTTS 57%
الأردن
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%
الجزائر
1-1▼
42%
25%
33%
xG 1.5 – 1.3O2.5 54%BTTS 57%
كندا
1-1▼
41%
26%
34%
xG 1.4 – 1.3O2.5 50%BTTS 54%
باراغواي
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
الكونغو الديمقراطية
1-1▼
41%
25%
34%
xG 1.4 – 1.3O2.5 51%BTTS 55%
الإكوادور
1-1▼
40%
26%
33%
xG 1.3 – 1.2O2.5 45%BTTS 50%
النرويج
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 50%BTTS 55%
اسكتلندا
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 49%BTTS 53%
كولومبيا
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%
اليابان
1-1▼
38%
25%
37%
xG 1.4 – 1.4O2.5 51%BTTS 55%
المغرب
1-1▼
38%
27%
35%
xG 1.3 – 1.2O2.5 46%BTTS 51%
سويسرا
1-1▼
38%
26%
37%
xG 1.3 – 1.3O2.5 48%BTTS 52%
النمسا
1-1▼
37%
26%
36%
xG 1.3 – 1.3O2.5 48%BTTS 53%
السويد
1-1▼
37%
27%
36%
xG 1.3 – 1.3O2.5 46%BTTS 51%
السنغال
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 49%BTTS 53%
أوروغواي
1-1▼
35%
26%
39%
xG 1.3 – 1.3O2.5 49%BTTS 53%
كرواتيا
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 48%BTTS 53%
تركيا
1-1▼
35%
27%
38%
xG 1.3 – 1.3O2.5 48%BTTS 54%
هولندا
1-1▼
35%
26%
39%
xG 1.2 – 1.4O2.5 48%BTTS 53%
البرازيل
1-1▼
34%
26%
40%
xG 1.2 – 1.4O2.5 49%BTTS 53%
بلجيكا
1-1▼
34%
27%
39%
xG 1.2 – 1.3O2.5 47%BTTS 52%
الأرجنتين
1-1▼
33%
26%
41%
xG 1.2 – 1.4O2.5 49%BTTS 54%
إسبانيا
1-1▼
32%
27%
41%
xG 1.2 – 1.4O2.5 48%BTTS 53%
ألمانيا
1-1▼
32%
27%
41%
xG 1.2 – 1.4O2.5 48%BTTS 53%
البرتغال
1-1▼
32%
26%
42%
xG 1.2 – 1.4O2.5 49%BTTS 53%
إنجلترا
1-1▼
32%
26%
42%
xG 1.2 – 1.4O2.5 50%BTTS 54%
فرنسا
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