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54綜合
Possession-basedTotal footballWell-drilled unit
⚡進攻
51
⚙️中場
57
🛡️防守
47
🧤門將
62
26人數
26.7平均年齡
62.7平均OVR
88.0深度評分
54綜合
Possession-basedTotal footballWell-drilled unit
⚡進攻
51
⚙️中場
57
🛡️防守
47
🧤門將
62
26人數
26.7平均年齡
62.7平均OVR
88.0深度評分
明星球員

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)
賽事機率
2.3%冠軍冠軍
2.3%
78.7%小組出線小組出線
78.7%
優勢
Strong team chemistry
Deep squad rotation
主教練 & 戰術檔案
· 任命
錦標賽路徑預測
79.6%
小組
79.6%
R32
43.0%
R16
22.3%
QF
12.0%
SF
5.9%
决赛
2.8%
冠军
Based on 10,000 Monte Carlo simulations
球隊實力分析
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 對陣預測(48)
WinDrawLoss
伊拉克
0-1▼
55%
25%
20%
xG 1.6 – 0.9O2.5 45%BTTS 47%
庫拉索
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%
海地
0-1▼
54%
25%
21%
xG 1.6 – 0.9O2.5 44%BTTS 47%
烏茲別克
0-1▼
54%
26%
21%
xG 1.6 – 0.9O2.5 45%BTTS 47%
南非
0-1▼
53%
25%
22%
xG 1.6 – 0.9O2.5 45%BTTS 46%
卡達
1-1▼
52%
25%
23%
xG 1.6 – 1.0O2.5 49%BTTS 52%
迦納
1-1▼
51%
24%
25%
xG 1.6 – 1.1O2.5 51%BTTS 52%
埃及
1-1▼
50%
24%
26%
xG 1.7 – 1.2O2.5 54%BTTS 56%
突尼西亞
1-1▼
50%
25%
25%
xG 1.6 – 1.0O2.5 48%BTTS 51%
約旦
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%
巴拿馬
1-1▼
48%
27%
25%
xG 1.5 – 1.0O2.5 45%BTTS 49%
蘇格蘭
1-1▼
48%
24%
28%
xG 1.6 – 1.2O2.5 52%BTTS 54%
厄瓜多
1-1▼
47%
26%
27%
xG 1.5 – 1.1O2.5 47%BTTS 50%
挪威
1-1▼
46%
25%
29%
xG 1.6 – 1.2O2.5 52%BTTS 55%
加拿大
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%
摩洛哥
1-1▼
45%
27%
28%
xG 1.5 – 1.1O2.5 47%BTTS 52%
澳洲
1-1▼
45%
25%
30%
xG 1.5 – 1.1O2.5 48%BTTS 52%
美國
1-1▼
45%
26%
30%
xG 1.5 – 1.2O2.5 49%BTTS 53%
哥倫比亞
1-1▼
45%
26%
29%
xG 1.5 – 1.2O2.5 50%BTTS 53%
巴拉圭
1-1▼
45%
26%
30%
xG 1.4 – 1.1O2.5 47%BTTS 51%
墨西哥
1-1▼
44%
25%
31%
xG 1.6 – 1.3O2.5 55%BTTS 57%
紐西蘭
1-1▼
44%
26%
30%
xG 1.4 – 1.1O2.5 48%BTTS 52%
瑞典
1-1▼
44%
25%
31%
xG 1.4 – 1.1O2.5 48%BTTS 52%
瑞士
1-1▼
44%
26%
30%
xG 1.5 – 1.2O2.5 49%BTTS 53%
沙烏地阿拉伯
1-1▼
44%
26%
30%
xG 1.5 – 1.2O2.5 50%BTTS 54%
阿爾及利亞
1-1▼
44%
25%
32%
xG 1.6 – 1.3O2.5 55%BTTS 58%
剛果民主共和國
1-1▼
42%
27%
31%
xG 1.3 – 1.1O2.5 43%BTTS 49%
日本
1-1▼
42%
25%
33%
xG 1.4 – 1.2O2.5 48%BTTS 52%
土耳其
1-1▼
42%
26%
32%
xG 1.4 – 1.2O2.5 49%BTTS 53%
比利時
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
烏拉圭
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 53%
塞內加爾
1-1▼
41%
26%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
荷蘭
1-1▼
41%
26%
33%
xG 1.4 – 1.3O2.5 49%BTTS 54%
克羅埃西亞
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%
巴西
1-1▼
40%
26%
34%
xG 1.4 – 1.3O2.5 49%BTTS 54%
奧地利
1-1▼
40%
26%
34%
xG 1.3 – 1.2O2.5 47%BTTS 52%
西班牙
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 50%BTTS 53%
阿根廷
1-1▼
39%
27%
34%
xG 1.4 – 1.3O2.5 50%BTTS 55%
德國
1-1▼
39%
27%
35%
xG 1.4 – 1.3O2.5 50%BTTS 55%
英格蘭
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
葡萄牙
1-1▼
35%
27%
39%
xG 1.3 – 1.4O2.5 49%BTTS 53%
法國
1-1▼
34%
26%
40%
xG 1.3 – 1.4O2.5 51%BTTS 54%
敏感度分析(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