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OddsFlow AI Analysis
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47Overall
Balanced
⚡Attack
49
⚙️Midfield
50
🛡️Defense
43
🧤Goalkeeping
45
25Squad Size
26.1Avg Age
55.3Avg OVR
81.0Depth Score
47Overall
Balanced
⚡Attack
49
⚙️Midfield
50
🛡️Defense
43
🧤Goalkeeping
45
25Squad Size
26.1Avg Age
55.3Avg OVR
81.0Depth Score
Star Players

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)
Tournament Probability
0.4%ChampionChampion
0.4%
79.8%Advance from GroupAdvance from Group
79.8%
Weaknesses
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
South Africa
1-0▼
50%
26%
24%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Iraq
1-0▼
50%
26%
24%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Haiti
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%
Curaçao
0-1▼
49%
26%
25%
xG 1.5 – 1.0O2.5 44%BTTS 48%
Uzbekistan
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%
Egypt
1-1▼
45%
25%
30%
xG 1.6 – 1.3O2.5 54%BTTS 58%
Qatar
1-1▼
43%
25%
32%
xG 1.5 – 1.2O2.5 51%BTTS 55%
Tunisia
1-1▼
41%
26%
32%
xG 1.4 – 1.2O2.5 48%BTTS 52%
Ghana
1-1▼
41%
25%
34%
xG 1.4 – 1.3O2.5 50%BTTS 55%
Australia
1-1▼
41%
25%
34%
xG 1.4 – 1.2O2.5 49%BTTS 52%
Jordan
1-1▼
40%
27%
33%
xG 1.4 – 1.2O2.5 48%BTTS 53%
Panama
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%
Mexico
1-1▼
39%
25%
36%
xG 1.5 – 1.4O2.5 54%BTTS 57%
Saudi Arabia
1-1▼
39%
26%
35%
xG 1.4 – 1.3O2.5 51%BTTS 55%
New Zealand
1-1▼
39%
25%
36%
xG 1.4 – 1.3O2.5 51%BTTS 55%
Algeria
1-1▼
38%
25%
37%
xG 1.5 – 1.4O2.5 55%BTTS 58%
Norway
1-1▼
38%
25%
37%
xG 1.4 – 1.4O2.5 54%BTTS 57%
Scotland
1-1▼
37%
26%
37%
xG 1.4 – 1.4O2.5 53%BTTS 57%
Paraguay
1-1▼
37%
25%
37%
xG 1.3 – 1.3O2.5 49%BTTS 53%
Colombia
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%
Ecuador
1-1▼
37%
27%
36%
xG 1.3 – 1.3O2.5 48%BTTS 53%
Congo DR
1-1▼
37%
27%
37%
xG 1.3 – 1.3O2.5 50%BTTS 55%
Morocco
1-1▼
36%
26%
38%
xG 1.3 – 1.4O2.5 50%BTTS 54%
USA
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Switzerland
1-1▼
36%
25%
39%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Sweden
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%
Japan
1-1▼
34%
26%
40%
xG 1.3 – 1.4O2.5 51%BTTS 55%
Austria
1-1▼
34%
26%
40%
xG 1.2 – 1.4O2.5 49%BTTS 53%
Belgium
1-1▼
33%
25%
42%
xG 1.3 – 1.5O2.5 50%BTTS 54%
Uruguay
1-1▼
32%
26%
41%
xG 1.2 – 1.4O2.5 50%BTTS 54%
Croatia
1-1▼
32%
25%
42%
xG 1.3 – 1.5O2.5 53%BTTS 57%
Senegal
1-1▼
32%
25%
43%
xG 1.2 – 1.5O2.5 51%BTTS 55%
Netherlands
1-1▼
32%
25%
44%
xG 1.2 – 1.5O2.5 52%BTTS 55%
Türkiye
1-1▼
32%
26%
42%
xG 1.2 – 1.5O2.5 50%BTTS 54%
Brazil
1-1▼
31%
26%
43%
xG 1.3 – 1.5O2.5 52%BTTS 56%
Spain
1-1▼
31%
24%
45%
xG 1.2 – 1.5O2.5 52%BTTS 54%
Argentina
1-1▼
31%
25%
43%
xG 1.3 – 1.5O2.5 53%BTTS 57%
Germany
1-1▼
30%
25%
45%
xG 1.2 – 1.6O2.5 53%BTTS 56%
Portugal
1-1▼
29%
26%
45%
xG 1.1 – 1.5O2.5 49%BTTS 53%
England
1-1▼
28%
25%
46%
xG 1.2 – 1.6O2.5 50%BTTS 54%
France
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