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OddsFlow AI Analysis
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53الإجمالي
Total football
⚡الهجوم
51
⚙️الوسط
53
🛡️الدفاع
46
🧤حراسة المرمى
67
25الحجم
27.6متوسط العمر
59.8متوسط OVR
86.0درجة العمق
53الإجمالي
Total football
⚡الهجوم
51
⚙️الوسط
53
🛡️الدفاع
46
🧤حراسة المرمى
67
25الحجم
27.6متوسط العمر
59.8متوسط OVR
86.0درجة العمق
اللاعبون النجوم
68
F. Grillitsch
Midfielder
3G 3A (2056min)

F. Wiegele
Goalkeeper
OPR 67

P. Wanner
Midfielder
5G 4A (2407min)

A. Schlager
Goalkeeper
OPR 66

X. Schlager
Midfielder
3G 2A (2207min)
احتمالات البطولة
1.3%البطلالبطل
1.3%
78.8%التأهل من المجموعةالتأهل من المجموعة
78.8%
نقاط القوة
Top-class goalkeeper
Deep squad rotation
Manager & Tactical Profile
· Appointed
Team Strength & Intelligence
50
ATK
53
MID
46
DEF
76
GK
1.42
λ Attack
0.96
λ Defense
35
Chemistry
86
Depth
3.4
Star Gap
27.6
Avg Age
Top Scorer
M. Gregoritsch
7 goals
Best Rated
F. Wiegele
7.73
Club Clusters
RB Leipzig (2)FSV Mainz 05 (2)Borussia Dortmund (2)Werder Bremen (2)
WC Experience
Appearances7
Best Finish3rd 1954
Last WC1998
Physical Resilience
Avg Mins/Season2,448
FatigueGood recovery — peak physical years
MiamiMODERATE
MonterreyMODERATE
Hot Climate %0%
Cooperation
Score39/100
Total Clubs21
Same-Club Pairs4
Same-League80
Average — typical international squad
H2H Matchup Predictions(47)
WinDrawLoss
كوراساو
1-0▼
54%
25%
21%
xG 1.6 – 0.9O2.5 45%BTTS 47%
العراق
0-1▼
54%
26%
21%
xG 1.6 – 0.9O2.5 44%BTTS 47%
هايتي
0-1▼
53%
25%
22%
xG 1.5 – 0.9O2.5 44%BTTS 46%
Iran
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 47%
South Korea
1-0▼
52%
26%
22%
xG 1.5 – 0.9O2.5 44%BTTS 46%
جنوب أفريقيا
0-1▼
52%
26%
22%
xG 1.5 – 0.9O2.5 43%BTTS 46%
أوزبكستان
0-1▼
52%
26%
23%
xG 1.5 – 0.9O2.5 43%BTTS 45%
Cape Verde Islands
1-1▼
51%
25%
25%
xG 1.6 – 1.1O2.5 50%BTTS 53%
قطر
0-1▼
50%
24%
25%
xG 1.6 – 1.0O2.5 48%BTTS 51%
مصر
1-1▼
48%
25%
27%
xG 1.6 – 1.2O2.5 53%BTTS 56%
تونس
1-1▼
47%
26%
27%
xG 1.4 – 1.0O2.5 45%BTTS 49%
غانا
1-1▼
47%
26%
27%
xG 1.5 – 1.1O2.5 47%BTTS 50%
الأردن
1-1▼
46%
27%
27%
xG 1.4 – 1.0O2.5 45%BTTS 49%
Bosnia & Herzegovina
1-1▼
45%
26%
29%
xG 1.5 – 1.1O2.5 47%BTTS 51%
بنما
1-1▼
45%
27%
28%
xG 1.4 – 1.0O2.5 43%BTTS 47%
النرويج
1-1▼
44%
26%
31%
xG 1.5 – 1.2O2.5 50%BTTS 54%
اسكتلندا
1-1▼
43%
26%
31%
xG 1.4 – 1.1O2.5 47%BTTS 52%
الإكوادور
1-1▼
43%
27%
29%
xG 1.3 – 1.1O2.5 43%BTTS 49%
كندا
1-1▼
43%
26%
31%
xG 1.5 – 1.2O2.5 50%BTTS 54%
أستراليا
1-1▼
43%
26%
31%
xG 1.4 – 1.2O2.5 48%BTTS 52%
السعودية
1-1▼
43%
25%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
الجزائر
1-1▼
43%
24%
33%
xG 1.5 – 1.3O2.5 53%BTTS 57%
المكسيك
1-1▼
43%
24%
33%
xG 1.5 – 1.3O2.5 54%BTTS 56%
كولومبيا
1-1▼
43%
27%
31%
xG 1.4 – 1.1O2.5 47%BTTS 52%
Ivory Coast
1-1▼
43%
26%
31%
xG 1.4 – 1.1O2.5 46%BTTS 50%
باراغواي
1-1▼
42%
27%
31%
xG 1.4 – 1.1O2.5 46%BTTS 51%
المغرب
1-1▼
42%
27%
31%
xG 1.4 – 1.1O2.5 46%BTTS 50%
نيوزيلندا
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 50%BTTS 53%
أمريكا
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 47%BTTS 52%
السويد
1-1▼
41%
27%
32%
xG 1.3 – 1.2O2.5 45%BTTS 50%
سويسرا
1-1▼
40%
27%
33%
xG 1.4 – 1.2O2.5 46%BTTS 52%
الكونغو الديمقراطية
1-1▼
40%
26%
34%
xG 1.4 – 1.3O2.5 50%BTTS 54%
بلجيكا
1-1▼
39%
27%
34%
xG 1.3 – 1.2O2.5 46%BTTS 52%
Czech Republic
1-1▼
39%
26%
35%
xG 1.3 – 1.3O2.5 48%BTTS 53%
هولندا
1-1▼
38%
26%
35%
xG 1.3 – 1.3O2.5 47%BTTS 52%
السنغال
1-1▼
38%
27%
35%
xG 1.3 – 1.2O2.5 47%BTTS 52%
كرواتيا
1-1▼
38%
27%
35%
xG 1.3 – 1.3O2.5 48%BTTS 53%
البرازيل
1-1▼
38%
26%
36%
xG 1.3 – 1.3O2.5 48%BTTS 52%
أوروغواي
1-1▼
38%
27%
35%
xG 1.3 – 1.2O2.5 46%BTTS 51%
اليابان
1-1▼
38%
26%
36%
xG 1.4 – 1.3O2.5 50%BTTS 54%
الأرجنتين
1-1▼
37%
26%
36%
xG 1.3 – 1.3O2.5 48%BTTS 53%
إسبانيا
1-1▼
37%
27%
36%
xG 1.3 – 1.3O2.5 47%BTTS 52%
ألمانيا
1-1▼
36%
26%
38%
xG 1.3 – 1.3O2.5 48%BTTS 53%
تركيا
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 49%BTTS 52%
إنجلترا
1-1▼
33%
26%
41%
xG 1.2 – 1.4O2.5 49%BTTS 53%
فرنسا
1-1▼
32%
26%
42%
xG 1.2 – 1.4O2.5 48%BTTS 53%
البرتغال
1-1▼
32%
26%
41%
xG 1.2 – 1.4O2.5 47%BTTS 51%
Sensitivity Analysis(51 scenarios)
Rank Distribution Across Scenarios
Baseline—
#5
Heat ×0.75—
#5
Heat ×2—
#5
Heat ×2.5—
#5
Heat ×0.25—
#5
Heat ×1.75—
#5
Altitude ×0.75—
#5
Altitude ×1.25—
#5
Altitude ×1.5—
#5
Altitude ×2.5—
#5
Altitude ×0.25—
#5
Host ×0.5—
#5
Mismatch t=0.1 a=0.5—
#5
Spread 1—
#5
Spread 1.5—
#5
Uplift 1.15—
#5
Heat ×0▲1
#6
Heat ×0.5▲1
#6
Heat ×1.5▲1
#6
Heat ×3▲1
#6
Altitude ×0▲1
#6
Altitude ×2▲1
#6
Altitude ×3▲1
#6
Travel ×0▲1
#6
Travel ×0.25▲1
#6
Host ×0▲1
#6
Penalty rand=0.5▲1
#6
Uplift 1▲1
#6
Heat ×1.25▲2
#7
Altitude ×0.5▲2
#7
Altitude ×1.75▲2
#7
Travel ×0.5▲2
#7
Travel ×1.5▲2
#7
Travel ×1.75▲2
#7
Host ×1.5▲2
#7
Host ×2▲2
#7
Host ×3▲2
#7
Mismatch t=0.05 a=0.3▲2
#7
Mismatch t=0.15 a=0.7▲2
#7
Mismatch t=0.2 a=0.9▲2
#7
Mismatch t=0.3 a=1.2▲2
#7
Spread 3▲2
#7
Penalty rand=0.3▲2
#7
Penalty rand=0.7▲2
#7
Travel ×0.75▲3
#8
Travel ×2▲3
#8
Travel ×2.5▲3
#8
Travel ×3▲3
#8
Spread 2.1▲3
#8
Spread 2.5▲3
#8
Travel ×1.25▲4
#9
Baseline: #5·Lower rank = stronger
baseline
1 scenarios · #5
heat
10 scenarios · #5–#7
altitude
10 scenarios · #5–#7
travel
10 scenarios · #6–#9
host
5 scenarios · #5–#7
mismatch
5 scenarios · #5–#7
spread
5 scenarios · #5–#8
penalty
3 scenarios · #6–#7
uplift
2 scenarios · #5–#6