Przemyslaw Frankowski

31 yrs · Right-back (also LM, RM) · Poland
Stade Rennais FC · Ligue 1 · Foot: right · Height: 175 cm
Risk: Very HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€6.0M
Updated 7 days ago
Estimated acquisition
€1.7M – €4.8M
Estimated · 20–80% range
Model value
€1.5M – €4.6M
Performance-implied · estimated
Projected (24m)
€1.3M – €3.3M
Resale range · estimated
Potential value gap
-€3.2M – €2.9M
Model value − acquisition

Value picture

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

Estimated acquisition€1.7M – €4.8M
Model value (performance-implied)€1.5M – €4.6M
Projected value (24 months)€1.3M – €3.3M
Dashed line: current market value (€6.0M). Bars are 20–80% model ranges; tick = median.

The model rates Przemyslaw Frankowski's performance-implied value at EUR 1.5M-4.6M, above the estimated acquisition range of EUR 1.7M-4.8M. Its 24-month market value projection is EUR 1.3M-3.3M. Context-adjusted goal contributions are 0.81x the positional average in the league (1217 minutes, league coefficient 0.88). Confidence is medium: 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: 7

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

PerformanceAbove average72.3th pct among MID peers (age-neutral)
AgeUnfavorable31.2 years
Acquisition costVery favorableest. €2.2M vs market €6.0M
Expected appreciationVery low-69% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.88
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
Data confidenceMedium

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: €9.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1217 (40% of available)
Goals + assists / 90
0.22
Context-adjusted G+A / 90
0.18
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
72 (Above 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
0.88 (rank 5)
Team strength (Elo)
1520
Opponent strength
1468
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)
€1.3M – €3.3M

Trajectory drivers: minutes share down 27 pts; changed club; league level up (+73 Elo); role change RB -> RM; relative output down 39% vs positional peers.

Historical comparables (8): median 2-year value change -64% (IQR -84% to -30%).

Risk profile

Overall: Very High

  • ⚠Limited sample: 1217 league minutes last season.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⚠Age 31: resale value typically declines.
  • ⚠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).

Already playing in a big-five league.

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.
2025/26Stade Rennais FCLigue 1RM19121740%120.220.18146815200.88
2024/25RC LensLigue 1RB18138945%420.390.25143314840.88
2024/25GalatasaraySuper LigRB1278424%010.110.06129515570.39
2023/24RC LensLigue 1RM30219372%320.210.16146315180.87
2022/23RC LensLigue 1RM37284083%530.250.22144116260.82
2021/22RC LensLigue 1LM37245372%650.400.39143914920.86

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2024/25Uefa Conference League QualifyingRC Lens2180101442
2023/24Uefa Champions LeagueRC Lens6528121665
2023/24Uefa Europa LeagueRC Lens2163001511

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
Moubarak Boussoufa
Premier Liga · 2015
31€6.5M€2.0Mfell
Adrien Thomasson
Ligue 1 · 2024
31€5.0M€4.0Mfell
Gaël Kakuta
Ligue 1 · 2022
31€7.0M€1.2Mfell
Álvaro González
Serie A · 2014
30€6.0M€2.5Mfell
Flavien Tait
Ligue 1 · 2023
30€6.0M€450kfell
Walter Gargano
Serie A · 2014
30€5.0M€3.5Mfell
Cristian
Super Lig · 2014
31€8.0M€1.0Mfell
Davide Zappacosta
Serie A · 2023
31€7.0M€5.0Mfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026Stade RennaisGalatasarayFree / loan€6.0M
5 Aug 2025GalatasarayStade RennaisFree / loan€7.0M
1 Jul 2025LensGalatasaray€7.0M€7.0M
30 Jun 2025GalatasarayLensFree / loan€7.0M
10 Feb 2025LensGalatasarayFree / loan€8.0M
5 Aug 2021ChicagoLens€2.3M€2.0M
22 Jan 2019JagielloniaChicago€1.5M€1.5M
1 Aug 2014Lechia GdanskJagiellonia€75k€300k
24 Oct 2012Lechia IILechia GdanskUnknownData unavailable
1 Jul 2011Lechia U19Lechia IIUnknownData unavailable

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.