İrfan Can Eğribayat

28 yrs · Goalkeeper · Türkiye
Fenerbahce · Super Lig · Foot: right · Height: 193 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: until 30 Jun 2027
Market value
€1.2M
Updated 6 days ago
Estimated acquisition
€328k – €1.1M
Estimated · 20–80% range
Model value
€587k – €1.6M
Performance-implied · estimated
Projected (24m)
€456k – €1.3M
Resale range · estimated
Potential value gap
-€519k – €1.3M
Model value − acquisition

Value picture

Where the market, the likely price and the model estimates sit.

Estimated acquisition€328k – €1.1M
Model value (performance-implied)€587k – €1.6M
Projected value (24 months)€456k – €1.3M
Dashed line: current market value (€1.2M). Bars are 20–80% model ranges; tick = median.

The model rates İrfan Can Eğribayat's performance-implied value at EUR 0.6M-1.6M, above the estimated acquisition range of EUR 0.3M-1.1M. Its 24-month market value projection is EUR 0.5M-1.3M. Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Final year of contract: selling club's leverage is reduced.

Bargain Index: not assigned

What drives the score. Not a black box: each component and its level.

Insufficient sample (< 900 league minutes)

PerformanceAverage45.9th pct among GK peers (age-neutral)
AgeUnfavorable28 years
Acquisition costVery favorableest. €437k vs market €1.2M
Expected appreciationVery low-30% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.4
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
Data confidenceLow

Bargain Index = percentile (among all evaluated players) of expected 2-year value relative to estimated cost. See methodology and backtests.

Market value history

Market value ≠ transfer fee ≠ acquisition cost.

Highest recorded: €3.5M

Profile vs positional peers

Percentiles among 285 evaluated GK players with 900+ minutes.

Performance (last season, league)

Minutes
540 (18% of available)
Goals + assists / 90
0.00
Context-adjusted G+A / 90
0.00
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
46 (Average)

Adjusted = shrunk toward positional baseline for small samples, corrected for team dominance over opponents, expressed relative to positional peers in the same league.

Context

League strength
0.40 (rank 18)
Team strength (Elo)
1393
Opponent strength
1228
Possession, role
Data unavailable

League strength 1.00 = average club of the big-five leagues. Elo includes continental matches.

Potential

Development
Low
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€456k – €1.3M

Trajectory drivers: minutes share down 18 pts; team strength down (-109 Elo).

Historical comparables (8): median 2-year value change -16% (IQR -52% to +27%).

Risk profile

Overall: Very High

  • ▲Small sample: 540 league minutes last season.
  • ⚠League level coefficient 0.40 (1.00 = big-five average): output may not translate.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⚠Declining trajectory versus previous season.
  • ⓘInjury history unavailable from current data source.

League translation

What happened to players who moved from this league to the big-five leagues (observed, not a forecast).

Historical movers
138 (all positions)
Relative output kept
76%–145%
Held a regular role (900+ min)
59%
Confidence
Medium

Output is relative to positional peers in each league. Movers are a selected group (clubs buy players who fit), so treat this as context, not a guarantee.

Season-by-season (domestic league)

Context-adjusted values are model outputs.

SeasonClubLeaguePosAppsMinMin shareGAG+A/90Adj. G+A/90Opp. EloTeam EloLeague str.
2025/26FenerbahceSuper LigGK32709%000.000.00122814770.40
2025/26SamsunsporSuper LigGK32709%000.000.00118713100.40
2024/25FenerbahceSuper LigGK13117036%000.000.00127315030.39
2023/24FenerbahceSuper LigGK32708%000.000.00126515830.45
2022/23FenerbahceSuper LigGK872022%000.000.00127815160.50
2021/22GöztepeSuper LigGK30270079%000.000.00124910970.42
2020/21GöztepeSuper LigGK35315088%000.000.00127912000.37
2016/17AdanasporSuper LigGK21806%000.000.00143911990.62

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions League QualifyingFenerbahce3270001599
2024/25Uefa Europa LeagueFenerbahce6570001499
2023/24Uefa Conference League QualifyingFenerbahce3270001479

Small continental samples are shown for context only and are not over-weighted.

Historical comparables

Most similar profiles 2+ years ago (same position group) and what happened next. Chosen by similarity only — failures included.

Player (then)AgeValue then~2y laterOutcome
Panagiotis Glykos
Super League 1 · 2016
30€1.0M€700kfell
Muhammed Şengezer
Super Lig · 2024
27€1.7M€3.5Mrose
Okan Kocuk
Super Lig · 2021
26€700k€850krose
Cican Stankovic
Super League 1 · 2023
31€1.5M€500kfell
Davy Roef
Jupiler Pro League · 2022
28€1.5M€1.5Mflat
Egor Baburin
Premier Liga · 2021
28€1.0M€500kfell
Aleksandar Jovanovic
Superliga · 2020
28€550k€800krose
Zacharie Boucher
Super League 1 · 2021
29€600k€250kfell

Transfer history

Fees as reported by the source; undisclosed fees shown as unknown, never estimated.

DateFromToFeeMV at time
30 Jun 2026SamsunsporFenerbahçeFree / loan€1.2M
9 Jan 2026FenerbahçeSamsunsporFree / loan€2.0M
1 Jul 2023GöztepeFenerbahçe€1.2M€1.9M
30 Jun 2023FenerbahçeGöztepeFree / loan€1.9M
3 Aug 2022GöztepeFenerbahçeFree / loan€2.0M
7 Sept 2020AdanasporGöztepe€500k€300k
12 May 2015Adanaspor U21AdanasporUnknown€50k
9 Feb 2015Adanaspor U19Adanaspor U21Unknown€50k
1 Jul 2014Adanaspor YthAdanaspor U19Unknown€50k

MoneyballAI identifies statistical opportunities from available data. A player flagged as a potential bargain is not guaranteed to succeed, to transfer, to rise in value, or to generate resale profit. Market values, fees and contracts come from third-party sources; ranges are model estimates with stated confidence.