Türkiye
- Coach
- Vincenzo Montella foreign · Italian
- Elo (model)
- 1,911
- Squad value
- €413M
- Power → Reality
- 19th 19th +0.07 pp · neutral draw
§ 01
The forecast
How far Türkiye goes — the survival probability at each stage of the bracket, from the tournament Monte-Carlo simulation. Each bar carries its ±1.96·MC-SE interval.
Fig. D1 Fixture-aware · 100k sims
Türkiye — stage progression
On the central forecast, Türkiye more likely than not reaches the Round of 32 (77%). Champion probability is 1.0% ± 0.03 pts.
§ 02
The group & the path
Group D advancement odds, the bracket half Türkiye sits in, and the earliest round they could meet each leading side.
| Group D | Confed | Advance (top 2) | Reach R32 | |
|---|---|---|---|---|
| 1 | 🇹🇷Türkiye | UEFA | 43.7% | 76.7% |
| 2 | 🇵🇾Paraguay | CONMEBOL | 35.6% | 69.2% |
| 3 | 🇺🇸USA | CONCACAF | 29.4% | 67.2% |
| 4 | 🇦🇺Australia | AFC | 28.6% | 61.3% |
Source · Oxford Football Forecasting model
Earliest possible meetings
No collision rows recorded for this team.
Collision = the earliest round the bracket wiring could pit Türkiye against that side. Full bracket & collision matrix →
§ 03
Match by match
Türkiye's three group fixtures, each with the predicted win / draw / loss split and the single most-likely scoreline. Probabilities are this team's own orientation; they sum to 100%.
How a match forecast is built
Each pairing is scored by the ensemble (Dixon-Coles bivariate-Poisson, the Bayesian hierarchical model and the global LightGBM-Poisson, log-pooled), producing an 11×11 scoreline grid that is marginalised into win/draw/loss, expected goals (λ), over/under 2.5 and both-teams-to-score. These are the same distributions the tournament simulator consumes, oriented here to Türkiye. Knockout fixtures are not shown — their occupants are still probabilistic, so there is no single pairing to forecast yet.
§ 04
Strength profile
Where Türkiye stands against the median of the 48-team field, metric by metric. The dot is Türkiye; the dashed line is the field median (1.0×).
Fig. D2 Relative to the 48-team median
Türkiye vs the field
Read each row as a multiple of the field median: dots to the right of the dashed line are above-field, to the left below. Raw values are labelled on the right so the comparison is transparent.
§ 05
History vs squad
The decoupling residual g — whether the squad’s market value sits above, or below, what the team’s record predicts.
Fig. D3 Bayesian projection residual g
Türkiye on the decoupling axis
g = −0.41 ± 0.07: the record outruns the squad price — the team has achieved more than its comparatively modest squad value would predict.
What g means — and its limits
g is the residual from regressing a team’s current squad market value on its
history-based strength in the Bayesian hierarchical model. Positive g
means the squad is valued above what the team’s record predicts; negative means the
record outruns the squad’s price (the side achieves more than its market value implies).
Regressed on out-of-sample success the slope is positive — squad-rich sides go a touch
further — but not statistically significant at n = 3 tournaments, so treat
a single team’s g as a descriptive read, not a hard prediction.
The full decoupling essay →
§ 06
The squad
All 26 selected players — club, league (with relative strength), club-season minutes and goals, caps. Sort any column.
| # | Player | Pos | Club | League | Club min | Gls | Caps | NT gls |
|---|---|---|---|---|---|---|---|---|
| 1 | Mert Günok | GK | Fenerbahçe | Süper Lig +0.49z | 385 | 0 | 37 | 0 |
| 2 | Zeki Çelik | DF | Roma | Serie A +1.70z | 5,160 | 1 | 61 | 3 |
| 3 | Merih Demiral | DF | Al-Ahli | Pro League −0.86z | 1,959 | 2 | 62 | 6 |
| 4 | Çağlar Söyüncü | DF | Fenerbahçe | Süper Lig +0.49z | 1,058 | 0 | 60 | 2 |
| 5 | Salih Özcan | MF | Borussia Dortmund | Bundesliga +1.84z | 94 | 0 | 30 | 1 |
| 6 | Orkun Kökçü | MF | Beşiktaş | Süper Lig +0.49z | 3,000 | 9 | 50 | 4 |
| 7 | Kerem Aktürkoğlu | FW | Fenerbahçe | Süper Lig +0.49z | 2,949 | 15 | 52 | 15 |
| 8 | Arda Güler | FW | Real Madrid | La Liga +2.13z | 3,684 | 7 | 29 | 6 |
| 9 | Deniz Gül | FW | Porto | — | — no club data | — | 8 | 2 |
| 10 | Hakan Çalhanoğlu (captain) | MF | Inter Milan | Serie A +1.70z | 2,310 | 12 | 105 | 22 |
| 11 | Kenan Yıldız | FW | Juventus | — | — no club data | — | 28 | 5 |
| 12 | Altay Bayındır | GK | Manchester United | — | — no club data | — | 12 | 0 |
| 13 | Eren Elmalı | DF | Galatasaray | Süper Lig +0.49z | 1,908 | 4 | 23 | 0 |
| 14 | Abdülkerim Bardakcı | DF | Galatasaray | Süper Lig +0.49z | 3,514 | 1 | 27 | 2 |
| 15 | Ozan Kabak | DF | TSG Hoffenheim | Bundesliga +1.84z | 1,798 | 4 | 30 | 2 |
| 16 | İsmail Yüksek | MF | Fenerbahçe | Süper Lig +0.49z | 2,417 | 2 | 32 | 1 |
| 17 | İrfan Can Kahveci | FW | Kasımpaşa | Süper Lig +0.49z | 1,371 | 2 | 47 | 6 |
| 18 | Mert Müldür | DF | Fenerbahçe | Süper Lig +0.49z | 2,210 | 1 | 45 | 3 |
| 19 | Yunus Akgün | FW | Galatasaray | Süper Lig +0.49z | 2,304 | 10 | 19 | 4 |
| 20 | Ferdi Kadıoğlu | DF | Brighton & Hove Albion | Premier League +2.21z | 3,516 | 1 | 30 | 2 |
| 21 | Barış Alper Yılmaz | FW | Galatasaray | Süper Lig +0.49z | 3,431 | 10 | 35 | 4 |
| 22 | Kaan Ayhan | MF | Galatasaray | Süper Lig +0.49z | 558 | 1 | 73 | 5 |
| 23 | Uğurcan Çakır | GK | Galatasaray | — | — no club data | — | 39 | 0 |
| 24 | Oğuz Aydın | FW | Fenerbahçe | — | — no club data | — | 11 | 0 |
| 25 | Samet Akaydin | DF | Çaykur Rizespor | Süper Lig +0.49z | 2,571 | 4 | 19 | 1 |
| 26 | Can Uzun | FW | Eintracht Frankfurt | Bundesliga +1.84z | 1,522 | 10 | 6 | 1 |
Source · Official squad announcements · API-Football (global club coverage). 5 of 26 players have no club season matched in API-Football — shown as “— no club data”, not imputed. Form coverage for this squad: 81%.
§ 07
Tournament context
The host-nation environment this team meets — diaspora support, climate and altitude exposure at their venues, language familiarity.
Diaspora in the hosts
142,014
2.0 per 1,000 of home population
Host-language familiarity
Foreign
primary language Turkish
Climate adaptation gap
−4.3°C
home-vs-venue heat differential
Venue extremes
29°C
peak heat index · altitude up to 45 m
Travel
10h
max time-zone shift · nearest venue 8,125 km
Source · UN DESA international migrant stock · US Census Bureau · Open-Meteo & venue records
§ 08
Elo trajectory
Türkiye's long-run strength against the qualified-field median, 1950–2026.
Fig. D4 eloratings.net method · year-end values
Türkiye — Elo since 1950
Türkiye ends the series at 1969 Elo, the world’s 16th-ranked side — above the qualified-field median.
Which Elo is this?
This line is the public eloratings.net series (year-end ratings), which terminates exactly at the current rating and world rank shown on the marker. It is a different number from the Elo shown in the header band (a panel-normalised rating used inside the forecast); the two are ~0.99 correlated but on different scales. We keep them distinct rather than blend them.
§ 09
Data coverage
Validated on n=3 held-out tournaments; coverage below 1.0 means part of this squad's club-form/fitness is imputed (the global de-biasing layer). For Türkiye, 5 of 26 players are shown as “— no club data”. Full validation, calibration & conformal coverage →