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OddsFlow AI Analysis
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54Overall
Possession-basedTotal footballWell-drilled unit
⚡Attack
51
⚙️Midfield
57
🛡️Defense
47
🧤Goalkeeping
62
26Squad Size
26.7Avg Age
62.7Avg OVR
88.0Depth Score
54Overall
Possession-basedTotal footballWell-drilled unit
⚡Attack
51
⚙️Midfield
57
🛡️Defense
47
🧤Goalkeeping
62
26Squad Size
26.7Avg Age
62.7Avg OVR
88.0Depth Score
Star Players

A. Güler
Midfielder
8G 18A (4055min)

H. Çalhanoğlu
Midfielder
13G 9A (2582min)

U. Çakır
Goalkeeper
OPR 67

Ç. Söyüncü
Defender
OPR 67

M. Müldür
Defender
2G 2A (2413min)
Tournament Probability
2.3%ChampionChampion
2.3%
78.7%Advance from GroupAdvance from Group
78.7%
Strengths
Strong team chemistry
Deep squad rotation
Manager & Tactical Profile
· Appointed
Tournament Path Forecast
79.6%
Group
79.6%
R32
43.0%
R16
22.3%
QF
12.0%
SF
5.9%
Final
2.8%
Champion
Based on 10,000 Monte Carlo simulations
Team Strength & Intelligence
51
ATK
57
MID
47
DEF
62
GK
1.65
λ Attack
1.07
λ Defense
97
Chemistry
88
Depth
7.2
Star Gap
26.7
Avg Age
Top Scorer
K. Aktürkoğlu
15 goals
Best Rated
O. Kökçü
7.57
Club Clusters
Galatasaray (6)Fenerbahçe (6)
WC Experience
Appearances2
Best Finish3rd 2002
Last WC2002
Physical Resilience
Avg Mins/Season2,347
FatigueGood recovery — peak physical years
MiamiMODERATE
MonterreyMODERATE
Hot Climate %0%
Cooperation
Score70/100
Total Clubs16
Same-Club Pairs30
Same-League148
Excellent — strong club connections
H2H Matchup Predictions(48)
WinDrawLoss
Iraq
0-1▼
55%
25%
20%
xG 1.6 – 0.9O2.5 45%BTTS 47%
Curaçao
0-1▼
55%
25%
21%
xG 1.6 – 0.9O2.5 44%BTTS 46%
South Korea
0-1▼
55%
25%
21%
xG 1.6 – 0.9O2.5 46%BTTS 47%
Iran
0-1▼
54%
25%
21%
xG 1.6 – 0.9O2.5 46%BTTS 47%
Cape Verde Islands
0-1▼
54%
24%
22%
xG 1.7 – 1.0O2.5 52%BTTS 53%
Haiti
0-1▼
54%
25%
21%
xG 1.6 – 0.9O2.5 44%BTTS 47%
Uzbekistan
0-1▼
54%
26%
21%
xG 1.6 – 0.9O2.5 45%BTTS 47%
South Africa
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 46%
Qatar
1-1▼
52%
25%
23%
xG 1.6 – 1.0O2.5 49%BTTS 52%
Ghana
1-1▼
51%
24%
25%
xG 1.6 – 1.1O2.5 51%BTTS 52%
Egypt
1-1▼
50%
24%
26%
xG 1.7 – 1.2O2.5 54%BTTS 56%
Tunisia
1-1▼
50%
25%
25%
xG 1.6 – 1.0O2.5 48%BTTS 51%
Jordan
1-1▼
49%
26%
25%
xG 1.5 – 1.0O2.5 46%BTTS 50%
Bosnia & Herzegovina
1-1▼
49%
24%
27%
xG 1.6 – 1.1O2.5 51%BTTS 52%
Panama
1-1▼
48%
27%
25%
xG 1.5 – 1.0O2.5 45%BTTS 49%
Scotland
1-1▼
48%
24%
28%
xG 1.6 – 1.2O2.5 52%BTTS 54%
Ecuador
1-1▼
47%
26%
27%
xG 1.5 – 1.1O2.5 47%BTTS 50%
Norway
1-1▼
46%
25%
29%
xG 1.6 – 1.2O2.5 52%BTTS 55%
Canada
1-1▼
46%
24%
30%
xG 1.6 – 1.2O2.5 53%BTTS 55%
Ivory Coast
1-1▼
45%
26%
29%
xG 1.5 – 1.2O2.5 50%BTTS 53%
Morocco
1-1▼
45%
27%
28%
xG 1.5 – 1.1O2.5 47%BTTS 52%
Australia
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
USA
1-1▼
45%
26%
30%
xG 1.5 – 1.2O2.5 49%BTTS 53%
Colombia
1-1▼
45%
26%
29%
xG 1.5 – 1.2O2.5 50%BTTS 53%
Paraguay
1-1▼
45%
26%
30%
xG 1.4 – 1.1O2.5 47%BTTS 51%
Mexico
1-1▼
44%
25%
31%
xG 1.6 – 1.3O2.5 55%BTTS 57%
New Zealand
1-1▼
44%
26%
30%
xG 1.4 – 1.1O2.5 48%BTTS 52%
Sweden
1-1▼
44%
25%
31%
xG 1.4 – 1.1O2.5 48%BTTS 52%
Switzerland
1-1▼
44%
26%
30%
xG 1.5 – 1.2O2.5 49%BTTS 53%
Saudi Arabia
1-1▼
44%
26%
30%
xG 1.5 – 1.2O2.5 50%BTTS 54%
Algeria
1-1▼
44%
25%
32%
xG 1.6 – 1.3O2.5 55%BTTS 58%
Congo DR
1-1▼
42%
27%
31%
xG 1.3 – 1.1O2.5 43%BTTS 49%
Japan
1-1▼
42%
25%
33%
xG 1.4 – 1.2O2.5 48%BTTS 52%
Türkiye
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
Belgium
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Uruguay
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Senegal
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Netherlands
1-1▼
41%
26%
33%
xG 1.4 – 1.3O2.5 49%BTTS 54%
Croatia
1-1▼
40%
26%
34%
xG 1.4 – 1.3O2.5 51%BTTS 56%
Czech Republic
1-1▼
40%
26%
33%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Brazil
1-1▼
40%
26%
34%
xG 1.4 – 1.3O2.5 49%BTTS 54%
Austria
1-1▼
40%
26%
34%
xG 1.3 – 1.2O2.5 47%BTTS 52%
Spain
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 50%BTTS 53%
Argentina
1-1▼
39%
27%
34%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Germany
1-1▼
39%
27%
35%
xG 1.4 – 1.3O2.5 50%BTTS 55%
England
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Portugal
1-1▼
35%
27%
39%
xG 1.3 – 1.4O2.5 49%BTTS 53%
France
1-1▼
34%
26%
40%
xG 1.3 – 1.4O2.5 51%BTTS 54%
Sensitivity Analysis(51 scenarios)
Rank Distribution Across Scenarios
Travel ×0▼2
#5
Travel ×0.5▼2
#5
Travel ×0.25▼2
#5
Host ×0▼2
#5
Mismatch t=0.3 a=1.2▼2
#5
Heat ×1.25▼1
#6
Heat ×0.25▼1
#6
Altitude ×1.5▼1
#6
Travel ×1.25▼1
#6
Host ×0.5▼1
#6
Mismatch t=0.15 a=0.7▼1
#6
Mismatch t=0.2 a=0.9▼1
#6
Spread 2.5▼1
#6
Penalty rand=0.3▼1
#6
Baseline—
#7
Heat ×1.5—
#7
Heat ×2.5—
#7
Heat ×3—
#7
Heat ×1.75—
#7
Altitude ×0.75—
#7
Altitude ×2—
#7
Altitude ×3—
#7
Travel ×0.75—
#7
Spread 1—
#7
Spread 2.1—
#7
Uplift 1.15—
#7
Heat ×0▲1
#8
Heat ×0.5▲1
#8
Heat ×2▲1
#8
Altitude ×0▲1
#8
Altitude ×0.5▲1
#8
Altitude ×2.5▲1
#8
Altitude ×0.25▲1
#8
Altitude ×1.75▲1
#8
Mismatch t=0.1 a=0.5▲1
#8
Spread 1.5▲1
#8
Spread 3▲1
#8
Penalty rand=0.5▲1
#8
Penalty rand=0.7▲1
#8
Uplift 1▲1
#8
Heat ×0.75▲2
#9
Altitude ×1.25▲2
#9
Travel ×1.5▲2
#9
Travel ×2▲2
#9
Travel ×2.5▲2
#9
Travel ×3▲2
#9
Travel ×1.75▲2
#9
Host ×1.5▲2
#9
Host ×2▲2
#9
Host ×3▲2
#9
Mismatch t=0.05 a=0.3▲2
#9
Baseline: #7·Lower rank = stronger
baseline
1 scenarios · #7
heat
10 scenarios · #6–#9
altitude
10 scenarios · #6–#9
travel
10 scenarios · #5–#9
host
5 scenarios · #5–#9
mismatch
5 scenarios · #5–#9
spread
5 scenarios · #6–#8
penalty
3 scenarios · #6–#8
uplift
2 scenarios · #7–#8