Cape Verde

Snapshot · 2026-06-11Model 1.0.0

CAF·H조·FIFA #68

Knockout contender

High-pressing side.

라이벌
Spain (#1)
핵심
Nuno da Costa (FW)
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1

토너먼트 전망

Analysis

Cape Verde carry a <0.1% probability of winning the tournament (45th of 48). Drawn in Group H alongside Spain, Uruguay, Saudi Arabia, they are projected at 25.7% to advance to the knockout stage.

How they play

Cape Verde under Bubista play a high press game with 53% possession. They apply moderate pressing intensity (PPDA 17.2) and move the ball forward quickly at 5.7 passes per attack. They generate a high volume of shots (13.2 per 90).

Path to success

In Group H alongside Spain, Uruguay, Saudi Arabia, Cape Verde are projected at 25.7% to advance from the group stage. A competitive group-stage showing — taking points off higher-ranked opponents — would mark a successful campaign. The expanded 48-team format gives smaller federations more runway, and upsets in the group stage are a fixture of every World Cup.

What they must execute

Cape Verde need their high press to force turnovers in dangerous areas — if opponents can play through the press, the space left behind is vulnerable. Physical conditioning and squad rotation will be critical to sustain pressing intensity across a long tournament.

Controversial take

The model and FIFA rankings tell different stories for Cape Verde. Model rates them #47 by tournament-winner probability — 21 places higher than FIFA #68.

Key numbers

<0.1%Win probability45th in field
1549Elo ratingRanked 72nd globally
17.2PPDA (press intensity)Lower = more pressing; top quartile (9th of 48)
18.5%Tournament goal probability — Nuno da CostaTop projected scorer in the squad (FW)
6.4 yearsManager tenureBubista
25.7%Group stage advance probabilityGroup H

How they play

Style vs the 48-team field

High press · style profile from 5 recent matches

Press
17.2
79
Build-up
5.7
19
Directness
6.6
54
Width (proxy)
403.9
39
Tempo
7.6
11
Set-piece reliance
16.1
70

What to watch: a slower tempo, holding and recycling possession.

Percentiles position Cape Verde against the 48-team field — higher means more of that trait, not better or worse. Press is inverted (lower PPDA = higher press); width uses crossing rate as a proxy; tempo is open-play passes per minute of possession. Descriptive style analytics; does not feed the published probabilities.

Group H finish · Cape Verde

Monte Carlo, 50,000 sims

Top two advance to the round of 32; best 8 of 12 third-placed teams also qualify.

  • 1st (group winner)
    Advances to R32
    0.8%
  • 2nd (runner-up)
    Advances to R32
    8.5%
  • 3rd
    Advances only if among the best 8 of 12 third-placed teams
    38.8%
  • 4th
    Eliminated
    51.9%

Stage progression · Cape Verde

, 50,000 sims
  1. 27.7%AdvAdvance from group
  2. 5.1%R16Round of 16
  3. 0.9%QFQuarter-final
  4. 0.1%SFSemi-final
  5. <0.1%FFinal
  6. 0.0%WinWin the tournament

Likely knockout path · Cape Verde

Monte Carlo, 10,000 sims

Most frequent opponents per round, conditional on reaching it.

R32

Round of 32

R16

Round of 16

QF

Quarter-final

SF

Semi-final

2

스쿼드

Predicted squad

Model-predicted · snapshot 2026-05-28

No jersey numbers assigned in the underlying source. The 26 below are picked by the model from the team's recent call-up pool.

Goalkeepers (1)
PlayerStat
GK
VozinhaCaps-drivenChaves
85c0.02
Defenders (4)
PlayerStat
DF
StopiraCaps-drivenTorreense
60c0.00
DF
Logan CostaRating-drivenVillarreal
26c0.78
DF
João PauloCaps-drivenFCSB
40c0.23
DF
PicoCaps-drivenShamrock Rovers
44c0.09
Midfielders (3)
PlayerStat
MF
Jamiro MonteiroRecoveringCaps-drivenPEC Zwolle
53c1assists0.37
MF
Kevin PinaKrasnodar
30c1assists0.53
MF
Deroy DuarteCaps-drivenLudogorets Razgrad
30c2assists0.31
Forwards (3)
PlayerStat
FW
Ryan MendesCaps-drivenIğdır
96c22goals0.17
FW
Garry RodriguesCaps-drivenApollon Limassol
59c9goals0.09
FW
Willy SemedoCaps-drivenOmonia
36c2goals0.31
Bench

★ likely first sub badge on the top-3 by first-sub score within each position group, plus a late-game impact rating where club per-90 stats are available.

Goalkeepers (2)
PlayerStat
GK
Márcio RosaCaps-drivenMontana★ Likely first sub
10c0.06
GK
CJ dos SantosSan Diego★ Likely first sub
0c0.00
Defenders (5)
PlayerStat
DF
DineyCaps-drivenAl Bataeh★ Likely first sub
29c0.36
DF
Steven MoreiraRating-drivenColumbus Crew★ Likely first subimpact 10/100
18c42tackles0.61
DF
Wagner PinaRating-drivenTrabzonspor★ Likely first sub
12c0.56
DF
Sidny Lopes CabralCaps-drivenBenfica
8c0.00
DF4c0.11
Midfielders (3)
PlayerStat
MF
Telmo ArcanjoVitória de Guimarães★ Likely first sub
14c0assists0.25
MF
Laros DuartePuskás Akadémia★ Likely first sub
12c0assists0.28
MF
Yannick SemedoCaps-drivenFarense★ Likely first sub
10c0assists0.13
Forwards (5)
PlayerStat
FW
Hélio VarelaMaccabi Tel Aviv★ Likely first sub
19c0goals0.39
FW
Dailon LivramentoCaps-drivenCasa Pia★ Likely first sub
20c7goals0.25
FW
Jovane CabralCaps-drivenEstrela Amadoraimpact 25/100
25c2goals0.15
FW
BenchimolCaps-drivenAkron Tolyatti★ Likely first sub
21c5goals0.21
FW
Nuno da CostaRating-drivenİstanbul Başakşehirimpact 30/100
7c1goals0.23
How to read this squad4 columns explained
Pos
Broad position bucket — GK / DF / MF / FW.
Caps
Senior international appearances. Used by the model as a recency-weighted signal of how often the manager calls the player up.
Stat
Position-aware stat: career international goals for forwards; career international assists for midfielders (Transfermarkt); latest available Big-5 club season's total tackles for defenders (FBref); latest available Big-5 club season's save percentage for goalkeepers (FBref). Em-dash when no data is joined — most often for defenders and keepers at non-Big-5 clubs.
Rating
Composite rating (Model #4) — combines recent caps + goals, recent club xG and xAG per 90, position-relative quality, and call-up priors. Higher = the model thinks the player is more likely to start. Typically 0.9 (depth) to 2.5 (elite).
★ Likely first sub — the bench player the model rates most likely to be the first substitute for their position. Computed from a first-sub score (cap-recency + impact rating); ties broken by Rating.

Selection driver — coloured chips show which input dominates a player's selection score. Caps-driven = selected mainly on international experience. Rating-driven = selected mainly on club performance quality. Jersey-boosted = jersey number from a recent squad snapshot lifted their score. Goals-driven = international goal record was the decisive factor. No chip when the score is a balanced blend.

Squad cohesion

Projected XI · club overlap

Low coverage: 1/11 of the projected XI have club-minutes rows in our ratings table. Numbers below are structurally suppressed and should be read alongside the resolved count, not in isolation.

Pairwise club minutes
0.00%
Share of the 55-pair × 3000-minute ceiling. Higher = more of the XI plays together at club level.
Club concentration
1.000
How concentrated the XI is across clubs. 0.091 = 11 different clubs · 1.000 = all the same club.
Top-3 clubs share
100%
1 of 1 play for the three most common clubs in the XI.

Top clubs in projected XI

  • Villarreal1

Descriptive metric — does not feed the published probabilities. Methodology →

Squad depth

Projected XI · replaceability

Most irreplaceable starters

  1. Logan CostaCentre-backLikely cover: Diney · 0.36Al Bataeh0.41gap to repl.
  2. Kevin PinaDefensive midfieldLikely cover: Laros Duarte · 0.28Puskás Akadémia0.25gap to repl.
  3. Jamiro MonteiroCentral midfieldLikely cover: Yannick Semedo · 0.13Farense0.24gap to repl.

Gap to repl. = how far this nation's rating at the position falls from the starter to his likely in-squad replacement (named above). Larger = harder to replace.

Descriptive metric — does not feed the published probabilities. Methodology →

3

조별 리그 일정

Group-stage schedule

MDDateOpponentVenue
1Jun 15, 2026SpainAtlanta, United States
2Jun 21, 2026UruguayMiami Gardens, United States
3Jun 26, 2026Saudi ArabiaHouston, United States

상대 전적

Cape Verde 예상 득점자 →

4

주요 이야기

Storylines

Updated 14 days ago
Model bold

Model rates them #47 by tournament-winner probability — 21 places higher than FIFA #68.

Veteran #1Vozinha

40 at kickoff with 85 caps — last World Cup for the #1.

League pedigree

Only 3 of 25 predicted-squad players played in a top-5 European league last season — the rest play home or in non-top-5 leagues.

From the spot

Converted only 3 of 5 career penalties (60%) — a wasteful record from the spot in knockouts.

5

폼 및 과거 기록

Statistical profile

High Press

Attack

Attack rating0.3244th/48
Shots per match13.211th/48
Chance quality0.11425th/48

Defence

Defence rating0.316th/48
Goalkeeper rating0.4836th/48

GK: Bruno Varela

Set pieces

Set-piece goal share16.1%12th/48
Penalty conversion72.0%29th/48
Penalty save rate20.0%32nd/48

Style

Possession53.5%14th/48
Press intensity17.29th/48
Directness6.619th/48
Crossing volume403.925th/48
Long ball volume37.114th/48
Build-up length5.733rd/48

Squad

Avg. minutes per starter1,49429th/48
Club familiarity0.00023rd/48

Workload class: low

Attack and defence ratings from the model; style metrics from recent international matches; penalty rates via Bayesian estimation; goalkeeper rating from shot-prevention data. Rank is out of 48 tournament teams.

Where goals come from

Phase of play · scored & conceded

Scored8 goals · 75 shots
Conceded3 goals · 73 shots
  • Open play
  • Set piece
  • Counter
  • Penalty

Share of goals by how the chance began, across 5 matches (AFCON2023). Shoot-out kicks are excluded. Descriptive metric — does not feed the published probabilities. Methodology →

Group-stage matchups

Win2.5%
Draw12.4%
Loss85.0%
Expected goals for0.39
Expected goals against2.92
Likeliest score2-0 (15.5%)
Both teams score30.9%
Clean sheet5.4%
Win6.7%
Draw23.2%
Loss70.1%
Expected goals for0.44
Expected goals against1.71
Likeliest score0-1 (19.5%)
Both teams score29.5%
Clean sheet18.0%
Win30.6%
Draw30.1%
Loss39.4%
Expected goals for0.81
Expected goals against0.92
Likeliest score0-0 (18.4%)
Both teams score34.0%
Clean sheet39.8%

Probabilities from the calibrated ensemble model. xG from the Dixon–Coles fit. See each fixture page for full analysis.

Rating & probability history

10 snapshots · 2026-05-222026-06-10
Cape Verde — Elo and tournament-winner probability over 10 snapshotsCape Verde trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1549.0 to 1549.0 (0). Tournament-winner probability moved from 0.0% to <0.1% (0pp).Elo rating15391546155215592026-05-22 · Elo 1549.02026-06-06 · Elo 1549.0 (0 vs prior)2026-06-06 · Elo 1549.0 (0 vs prior)2026-06-07 · Elo 1549.0 (0 vs prior)2026-06-07 · Elo 1549.0 (0 vs prior)2026-06-07 · Elo 1549.0 (0 vs prior)2026-06-08 · Elo 1549.0 (0 vs prior)2026-06-08 · Elo 1549.0 (0 vs prior)2026-06-10 · Elo 1549.0 (0 vs prior)2026-06-10 · Elo 1549.0 (0 vs prior)Tournament-winner probability0.0%0.3%0.7%1.0%2026-05-22 · 0.0% (CI 0.0%–0.0%)2026-06-06 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-06 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-07 · 0.0% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-07 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-07 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-08 · 0.0% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-08 · 0.0% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-10 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)2026-06-10 · <0.1% (CI 0.0%–<0.1%) (0pp vs prior)snapshot date (2026-05-222026-06-10)

Cape Verde trajectory: 10 snapshots between 2026-05-22 and 2026-06-10 (19 days). Elo moved from 1549.0 to 1549.0 (0). Tournament-winner probability moved from 0.0% to <0.1% (0pp).

Each point is one model build. The shaded band is the bootstrap 90% credible interval around the tournament-winner probability.

Recent form (10 matches)

Record4W · 5D · 1L
Goals1710
Form
DateOpponentScoreResultCompetition
2026-03-30NFinland11DFIFA Series
2026-03-27NChile24LFIFA Series
2025-11-17NEgypt11DAl Ain International Cup
2025-11-13NIran00DAl Ain International Cup
2025-10-13HEswatini30WFIFA World Cup qualification
2025-10-08ALibya33DFIFA World Cup qualification
2025-09-09HCameroon10WFIFA World Cup qualification
2025-09-04AMauritius20WFIFA World Cup qualification
2025-06-08AGeorgia11DFriendly
2025-06-03AMalaysia30WFriendly

martj42 international results (CC0) · last 10 matches · ~2 years.

Head-to-head vs group opponents

OpponentMeetingsW-D-LLast meeting
Saudi Arabia0No prior meetings
Spain0No prior meetings
Uruguay0No prior meetings

All meetings via the martj42 international results dataset.

Major tournaments — most recent appearance

TournamentYearFinishW-D-LSince then
African Cup of Nations2024Quarter-finals3-2-0
  • Same head coach (Bubista) since 2020
  • 6/12 of current pool (50%) were active that year

Source: FIFA archives. Penalty outcomes resolved to W/L.

Most similar past team-tournaments

Closest comparable teams from past major tournaments (1990-2024), by squad strength, group draw, and recent form. Shown for context, not a prediction.

  • Burkina Faso · Afcon 2010

    Outcome not classified

    Comparable pre-tournament strength (Elo 1582) and group draw.

  • Togo · Afcon 2013

    Exited at the quarter-final

  • Sudan · Afcon 2008

    Exited at the group stage