Mathys Tel

21 yrs · Striker (also LW) · France
Tottenham Hotspur · Premier League · Foot: right · Height: 183 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: HighContract: until 30 Jun 2031
Market value
€22.0M
Updated 6 days ago
Estimated acquisition
€18.0M – €33.4M
Estimated · 20–80% range
Model value
€23.8M – €39.6M
Performance-implied · estimated
Projected (24m)
€12.4M – €36.9M
Resale range · estimated
Potential value gap
-€9.6M – €21.5M
Model value − acquisition

Value picture

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

Estimated acquisition€18.0M – €33.4M
Model value (performance-implied)€23.8M – €39.6M
Projected value (24 months)€12.4M – €36.9M
Dashed line: current market value (€22.0M). Bars are 20–80% model ranges; tick = median.

The model rates Mathys Tel's performance-implied value at EUR 23.8M-39.6M, above the estimated acquisition range of EUR 18.0M-33.4M. Its 24-month market value projection is EUR 12.4M-36.9M. Context-adjusted goal contributions are 0.76x the positional average in the league (1342 minutes, league coefficient 1.30). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 22

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

PerformanceHigh86.8th pct among ATT peers (age-neutral)
AgeFavorable21.2 years
Acquisition costNeutralest. €23.9M vs market €22.0M
Expected appreciationLow-14% over ~2 years (model)
Value gapSmallweak predictor on its own
DevelopmentHighbreakout probability 7%
League translationBig-five leagueleague coefficient 1.3
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskModerate
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: €50.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1342 (39% of available)
Goals + assists / 90
0.34
Context-adjusted G+A / 90
0.39
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
87 (High)

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
1.30 (rank 1)
Team strength (Elo)
1564
Opponent strength
1565
Possession, role
Data unavailable

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

Potential

Development
High
Trajectory
stable
Breakout probability
7%
Resale range (24m)
€12.4M – €36.9M

Trajectory drivers: league level up (+46 Elo); role change LW -> ST.

Historical comparables (8): median 2-year value change +46% (IQR -8% to +109%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1342 league minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘ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.
2025/26Tottenham HotspurPremier LeagueST31134239%410.340.39156515641.30
2024/25Tottenham HotspurPremier LeagueLW1391327%220.390.40158115641.23
2024/25Bayern MunichBundesligaLW82538%010.360.25151517720.94
2023/24Bayern MunichBundesligaLW30102333%751.060.37149217151.01
2022/23Bayern MunichBundesligaST2239713%501.130.33149818171.04
2021/22Stade Rennais FCLigue 1ST7501%000.000.41137615810.86

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueTottenham Hotspur3158011641
2025/26Fa CupTottenham Hotspur17800—
2025/26Uefa Super CupTottenham Hotspur111001830
2024/25Uefa Europa LeagueTottenham Hotspur5209001570
2024/25Dfb PokalBayern Munich311400—
2024/25Uefa Champions LeagueBayern Munich391001430
2024/25Fa CupTottenham Hotspur19010—
2023/24Dfb PokalBayern Munich218010—
2023/24Uefa Champions LeagueBayern Munich8139211542
2023/24Franz Beckenbauer SupercupBayern Munich164001685
2022/23Uefa Champions LeagueBayern Munich5140001610
2022/23Dfb PokalBayern Munich16310—

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
Kevin Schade
Premier League · 2023
22€25.0M€30.0Mrose
Gonçalo Guedes
Laliga · 2020
24€22.5M€40.0Mrose
Demarai Gray
Premier League · 2018
22€20.0M€14.5Mfell
Matheus Cunha
Premier League · 2023
24€25.0M€60.0Mrose
Santi Mina
Laliga · 2016
21€7.0M€20.0Mrose
Francisco Trincão
Premier League · 2022
23€20.0M€20.0Mflat
Adama Traoré
Premier League · 2019
23€15.0M€30.0Mrose
Evan Ferguson
Premier League · 2024
20€50.0M€20.0Mfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2025Bayern MunichTottenham€35.0M€35.0M
30 Jun 2025TottenhamBayern MunichFree / loan€35.0M
3 Feb 2025Bayern MunichTottenhamFree / loan€30.0M
26 Jul 2022Stade RennaisBayern Munich€20.0M€2.0M
1 Jul 2021Rennes U19Stade RennaisUnknownData unavailable
1 Jul 2020Montrouge U17Rennes U19Free / loanData unavailable
1 Jul 2019ASJA JugendMontrouge U17Free / loanData unavailable
1 Jul 2017Paris FC Yth.ASJA JugendFree / loanData unavailable
1 Jul 2016FC Villiers JgdParis FC Yth.Free / loanData 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.