Andreas Pyndt

25 yrs · Defensive midfielder · Denmark
FC Fredericia · Superliga · Foot: right · Height: 175 cm
Risk: HighConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€600k
Updated 6 days ago
Estimated acquisition
€150k – €576k
Estimated · 20–80% range
Model value
€339k – €657k
Performance-implied · estimated
Projected (24m)
€403k – €827k
Resale range · estimated
Potential value gap
-€237k – €507k
Model value − acquisition

Value picture

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

Estimated acquisition€150k – €576k
Model value (performance-implied)€339k – €657k
Projected value (24 months)€403k – €827k
Dashed line: current market value (€600k). Bars are 20–80% model ranges; tick = median.

The model rates Andreas Pyndt's performance-implied value at EUR 0.3M-0.7M, above the estimated acquisition range of EUR 0.1M-0.6M. Its 24-month market value projection is EUR 0.4M-0.8M. Context-adjusted goal contributions are 1.73x the positional average in the league (1303 minutes, league coefficient 0.47). 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: 98

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

PerformanceBelow average3.5th pct among MID peers (age-neutral)
AgeNeutral25.3 years
Acquisition costVery favorableest. €200k vs market €600k
Expected appreciationNeutral-0% over ~2 years (model)
Value gapLargeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.47
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskHigh
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: €900k

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1303 (66% of available)
Goals + assists / 90
0.21
Context-adjusted G+A / 90
0.21
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
4 (Below 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
0.47 (rank 12)
Team strength (Elo)
1183
Opponent strength
1282
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
insufficient
Breakout probability
Age > 23
Resale range (24m)
€403k – €827k

Historical comparables (8): median 2-year value change +0% (IQR -17% to +26%).

Risk profile

Overall: High

  • ⚠Limited sample: 1303 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Contract ends in 12 months: cheaper, but competition and wage demands likely.
  • ⓘ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
23 (MID)
Relative output kept
68%–122%
Held a regular role (900+ min)
65%
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.
2025/26FC FredericiaSuperligaDM19130366%030.210.22128211830.47
2024/25Silkeborg IFSuperligaDM21548%100.580.19126412640.38
2023/24Silkeborg IFSuperligaDM6241%000.000.12130612380.48

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenFC Fredericia210900—
2024/25Uefa Conference League QualifyingSilkeborg IF265011440
2024/25Uefa Europa League QualifyingSilkeborg IF11001539
2023/24Oddset PokalenSilkeborg IF424800—
2020/21Oddset PokalenBröndby IF11800—
2018/19Oddset PokalenBoldklubben Marienlyst1400—

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
Vladimir Rodic
Superliga · 2018
25€400k€400kflat
Lucas Souza
Liga Portugal · 2016
26€500k€900krose
Joeri de Kamps
Eredivisie · 2015
23€350k€400kflat
Miguel Reisinho
Liga Portugal · 2024
25€800k€450kfell
Mathias Hebo
Superliga · 2020
25€300k€500krose
Liam Donnelly
Scottish Premiership · 2020
24€475k€400kflat
Sambou Sissoko
Jupiler Pro League · 2023
24€600k€600kflat
Assane Dioussé
Super League 1 · 2023
26€900k€700kfell

Transfer history

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

DateFromToFeeMV at time
30 Jun 2026FC FredericiaSiriusFree / loan€600k
7 Jul 2025SiriusFC FredericiaFree / loan€400k
19 Aug 2024Silkeborg IFSirius€335k€900k
30 Jun 2024IFK GöteborgSilkeborg IFFree / loan€900k
8 Feb 2024Silkeborg IFIFK GöteborgFree / loan€300k
1 Jul 2023Bröndby IFSilkeborg IFFree / loan€350k
30 Jun 2023HvidovreBröndby IFFree / loan€350k
14 Jul 2022Bröndby IFHvidovreFree / loan€200k
30 Jun 2022B.93Bröndby IFFree / loan€200k
31 Jan 2022Bröndby IFB.93Free / loan€200k
1 Jul 2021Bröndby IF U19Bröndby IFUnknown€50k
1 Jan 2018Bröndby IF U17Bröndby IF U19UnknownData unavailable
1 Jul 2016Bröndby YouthBröndby IF U17UnknownData 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.

Andreas Pyndt · MoneyballAI