AI
OddsFlow AI Analysis
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47Общий
Balanced
⚡Атака
49
⚙️Полузащита
50
🛡️Защита
43
🧤Вратарь
45
25Размер
26.1Ср. возраст
55.3Ср. OVR
81.0Счёт глубины
47Общий
Balanced
⚡Атака
49
⚙️Полузащита
50
🛡️Защита
43
🧤Вратарь
45
25Размер
26.1Ср. возраст
55.3Ср. OVR
81.0Счёт глубины
Звёздные игроки

A. Davies
Defender
1G 6A (1468min)
66
T. Oluwaseyi
Attacker
8G 5A (1904min)

A. Johnston
Defender
OPR 65
64
C. Larin
Attacker
10G 2A (2106min)

A. Ahmed
Midfielder
4G 4A (1607min)
Вероятность на турнире
0.4%ЧемпионЧемпион
0.4%
79.8%Выход из группыВыход из группы
79.8%
Слабые стороны
Uncertain goalkeeper
Manager & Tactical Profile
· Appointed
Team Strength & Intelligence
49
ATK
49
MID
42
DEF
71
GK
1.29
λ Attack
1.13
λ Defense
39
Chemistry
81
Depth
5.5
Star Gap
26.1
Avg Age
Top Scorer
C. Larin
10 goals
Best Rated
N. Sigur
7.16
Club Clusters
Los Angeles FC (3)Villarreal (2)Toronto FC (2)
WC Experience
Appearances2
Best FinishGroup Stage
Last WC2022
Physical Resilience
Avg Mins/Season1,689
FatigueGood recovery — peak physical years
MiamiMODERATE
MonterreyMODERATE
Hot Climate %44%
Cooperation
Score41/100
Total Clubs19
Same-Club Pairs5
Same-League76
Average — typical international squad
H2H Matchup Predictions(47)
WinDrawLoss
ЮАР
1-0▼
50%
26%
24%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Ирак
1-0▼
50%
26%
24%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Гаити
0-1▼
50%
27%
24%
xG 1.5 – 1.0O2.5 44%BTTS 48%
South Korea
0-1▼
50%
25%
25%
xG 1.5 – 1.0O2.5 45%BTTS 48%
Iran
0-1▼
49%
26%
25%
xG 1.5 – 1.0O2.5 44%BTTS 47%
Кюрасао
0-1▼
49%
26%
25%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Узбекистан
1-0▼
48%
27%
24%
xG 1.5 – 0.9O2.5 43%BTTS 47%
Cape Verde Islands
1-1▼
47%
25%
28%
xG 1.6 – 1.1O2.5 51%BTTS 54%
Египет
1-1▼
45%
25%
30%
xG 1.6 – 1.3O2.5 54%BTTS 58%
Катар
1-1▼
43%
25%
32%
xG 1.5 – 1.2O2.5 51%BTTS 55%
Тунис
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 52%
Гана
1-1▼
41%
25%
34%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Австралия
1-1▼
41%
25%
34%
xG 1.4 – 1.2O2.5 49%BTTS 52%
Иордания
1-1▼
40%
27%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Панама
1-1▼
40%
27%
33%
xG 1.3 – 1.2O2.5 45%BTTS 51%
Bosnia & Herzegovina
1-1▼
40%
25%
34%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Мексика
1-1▼
39%
25%
36%
xG 1.5 – 1.4O2.5 54%BTTS 57%
Саудовская Аравия
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 51%BTTS 55%
Новая Зеландия
1-1▼
39%
25%
36%
xG 1.4 – 1.3O2.5 51%BTTS 55%
Алжир
1-1▼
38%
25%
37%
xG 1.5 – 1.4O2.5 55%BTTS 58%
Норвегия
1-1▼
38%
25%
37%
xG 1.4 – 1.4O2.5 54%BTTS 57%
Шотландия
1-1▼
37%
26%
37%
xG 1.4 – 1.4O2.5 53%BTTS 57%
Парагвай
1-1▼
37%
25%
37%
xG 1.3 – 1.3O2.5 49%BTTS 53%
Колумбия
1-1▼
37%
25%
38%
xG 1.4 – 1.4O2.5 52%BTTS 56%
Ivory Coast
1-1▼
37%
26%
37%
xG 1.4 – 1.4O2.5 51%BTTS 56%
Эквадор
1-1▼
37%
27%
36%
xG 1.3 – 1.3O2.5 48%BTTS 53%
ДР Конго
1-1▼
37%
27%
37%
xG 1.3 – 1.3O2.5 50%BTTS 55%
Марокко
1-1▼
36%
26%
38%
xG 1.3 – 1.4O2.5 50%BTTS 54%
США
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Швейцария
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Швеция
1-1▼
35%
26%
39%
xG 1.3 – 1.4O2.5 50%BTTS 54%
Czech Republic
1-1▼
35%
26%
40%
xG 1.3 – 1.4O2.5 49%BTTS 54%
Япония
1-1▼
34%
26%
40%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Австрия
1-1▼
34%
26%
40%
xG 1.2 – 1.4O2.5 49%BTTS 53%
Бельгия
1-1▼
33%
25%
42%
xG 1.3 – 1.5O2.5 50%BTTS 54%
Уругвай
1-1▼
32%
26%
41%
xG 1.2 – 1.4O2.5 50%BTTS 54%
Хорватия
1-1▼
32%
25%
42%
xG 1.3 – 1.5O2.5 53%BTTS 57%
Сенегал
1-1▼
32%
25%
43%
xG 1.2 – 1.5O2.5 51%BTTS 55%
Нидерланды
1-1▼
32%
25%
44%
xG 1.2 – 1.5O2.5 52%BTTS 55%
Турция
1-1▼
32%
26%
42%
xG 1.2 – 1.5O2.5 50%BTTS 54%
Бразилия
1-1▼
31%
26%
43%
xG 1.3 – 1.5O2.5 52%BTTS 56%
Испания
1-1▼
31%
24%
45%
xG 1.2 – 1.5O2.5 52%BTTS 54%
Аргентина
1-1▼
31%
25%
43%
xG 1.3 – 1.5O2.5 53%BTTS 57%
Германия
1-1▼
30%
25%
45%
xG 1.2 – 1.6O2.5 53%BTTS 56%
Португалия
1-1▼
29%
26%
45%
xG 1.1 – 1.5O2.5 49%BTTS 53%
Англия
1-1▼
28%
25%
46%
xG 1.2 – 1.6O2.5 50%BTTS 54%
Франция
1-1▼
28%
25%
47%
xG 1.1 – 1.6O2.5 51%BTTS 54%
Sensitivity Analysis(51 scenarios)
Rank Distribution Across Scenarios
Host ×2▼3
#5
Travel ×1.5▼2
#6
Travel ×2▼2
#6
Travel ×2.5▼2
#6
Travel ×3▼2
#6
Travel ×1.75▼2
#6
Host ×1.5▼2
#6
Host ×3▼2
#6
Baseline—
#8
Heat ×0.75—
#8
Altitude ×1.25—
#8
Travel ×1.25—
#8
Mismatch t=0.05 a=0.3—
#8
Heat ×0▲1
#9
Heat ×0.5▲1
#9
Heat ×1.25▲1
#9
Heat ×1.5▲1
#9
Heat ×2▲1
#9
Heat ×2.5▲1
#9
Heat ×3▲1
#9
Heat ×0.25▲1
#9
Heat ×1.75▲1
#9
Altitude ×0▲1
#9
Altitude ×0.5▲1
#9
Altitude ×0.75▲1
#9
Altitude ×1.5▲1
#9
Altitude ×2▲1
#9
Altitude ×2.5▲1
#9
Altitude ×3▲1
#9
Altitude ×0.25▲1
#9
Altitude ×1.75▲1
#9
Travel ×0.75▲1
#9
Host ×0.5▲1
#9
Mismatch t=0.1 a=0.5▲1
#9
Mismatch t=0.15 a=0.7▲1
#9
Spread 1▲1
#9
Spread 1.5▲1
#9
Spread 2.1▲1
#9
Spread 2.5▲1
#9
Spread 3▲1
#9
Penalty rand=0.3▲1
#9
Penalty rand=0.5▲1
#9
Penalty rand=0.7▲1
#9
Uplift 1▲1
#9
Uplift 1.15▲1
#9
Travel ×0▲2
#10
Travel ×0.5▲2
#10
Travel ×0.25▲2
#10
Host ×0▲2
#10
Mismatch t=0.2 a=0.9▲2
#10
Mismatch t=0.3 a=1.2▲2
#10
Baseline: #8·Lower rank = stronger
baseline
1 scenarios · #8
heat
10 scenarios · #8–#9
altitude
10 scenarios · #8–#9
travel
10 scenarios · #6–#10
host
5 scenarios · #5–#10
mismatch
5 scenarios · #8–#10
spread
5 scenarios · #9
penalty
3 scenarios · #9
uplift
2 scenarios · #9