Matt O'Riley

25 yrs · Central midfielder · Denmark
Olympique Marseille · Ligue 1 · Foot: left · Height: 189 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: ModerateContract: until 30 Jun 2029
Market value
€18.0M
Updated 7 days ago
Estimated acquisition
€10.9M – €22.0M
Estimated · 20–80% range
Model value
€4.6M – €15.0M
Performance-implied · estimated
Projected (24m)
€7.4M – €23.5M
Resale range · estimated
Potential value gap
-€17.4M – €4.1M
Model value − acquisition

Value picture

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

Estimated acquisition€10.9M – €22.0M
Model value (performance-implied)€4.6M – €15.0M
Projected value (24 months)€7.4M – €23.5M
Dashed line: current market value (€18.0M). Bars are 20–80% model ranges; tick = median.

The model rates Matt O'Riley's performance-implied value at EUR 4.6M-15.0M, below the estimated acquisition range of EUR 10.9M-22.0M. Its 24-month market value projection is EUR 7.4M-23.5M. Context-adjusted goal contributions are 1.06x the positional average in the league (942 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.

Bargain Index: 23

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

PerformanceAbove average71.7th pct among MID peers (age-neutral)
AgeNeutral25.6 years
Acquisition costNeutralest. €16.4M vs market €18.0M
Expected appreciationVery low-28% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentModerate
League translationBig-five leagueleague coefficient 0.88
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: €22.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
942 (28% of available)
Goals + assists / 90
0.38
Context-adjusted G+A / 90
0.23
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)
1527
Opponent strength
1455
Possession, role
Data unavailable

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

Potential

Development
Moderate
Trajectory
declining
Breakout probability
Age > 23
Resale range (24m)
€7.4M – €23.5M

Trajectory drivers: changed club; team strength down (-71 Elo).

Historical comparables (8): median 2-year value change -12% (IQR -47% to +2%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 942 league minutes last season.
  • ⚠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.
2025/26Olympique MarseilleLigue 1CM1573924%120.370.23145515040.88
2025/26Brighton & Hove AlbionPremier LeagueCM62036%100.440.23155416111.30
2024/25Brighton & Hove AlbionPremier LeagueCM2193827%230.480.32153816141.23
2024/25Celtic FCScottish PremiershipCM21806%010.500.14121315120.34
2023/24Celtic FCScottish PremiershipCM32281595%13110.770.30122415110.34
2022/23Celtic FCScottish PremiershipCM33220774%3110.570.27129015880.40
2021/22Celtic FCScottish PremiershipCM1268723%320.660.27131615750.50

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Champions LeagueOlympique Marseille7364011622
2025/26Trophee Des ChampionsOlympique Marseille11001832
2024/25Fa CupBrighton & Hove Albion1100—
2023/24Uefa Champions LeagueCeltic FC6487031620
2023/24Scottish Fa CupCeltic FC548012—
2022/23Uefa Champions LeagueCeltic FC6485001682
2022/23Scottish Fa CupCeltic FC519412—
2021/22Scottish Fa CupCeltic FC213800—
2021/22Fa CupMilton Keynes Dons19001—

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
Giovani Lo Celso
Laliga · 2023
27€14.0M€15.0Mflat
Aleksey Miranchuk
Serie A · 2022
27€10.0M€10.0Mflat
Gaetano Castrovilli
Serie A · 2023
26€10.0M€1.5Mfell
Urby Emanuelson
Serie A · 2013
27€8.8M€1.3Mfell
Dennis Geiger
Bundesliga · 2021
23€10.0M€8.0Mfell
Aïssa Laïdouni
Bundesliga · 2023
27€7.0M€6.0Mflat
Lars Bender
Bundesliga · 2017
28€10.0M€9.0Mflat
Raphaël Guerreiro
Bundesliga · 2018
25€18.0M€28.0Mrose

Transfer history

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

DateFromToFeeMV at time
2 Feb 2026MarseilleBrightonFree / loan€20.0M
1 Sept 2025BrightonMarseilleFree / loan€22.0M
26 Aug 2024CelticBrighton€29.5M€20.0M
20 Jan 2022MK DonsCeltic€1.8M€450k
24 Jan 2021Without ClubMK DonsUnknown€450k
1 Jul 2020FulhamWithout ClubUnknown€450k
1 Jul 2019Fulham U23FulhamUnknownData unavailable
1 Jul 2017Fulham U18Fulham U23UnknownData unavailable
1 Jul 2016Fulham YouthFulham U18UnknownData 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.