Nicolai Vallys

30 yrs · Left winger (also AM, RW) · Denmark
Bröndby IF · Superliga · Foot: right · Height: 189 cm
Risk: ModerateConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2027
Market value
€4.0M
Updated today
Estimated acquisition
€981k – €3.1M
Estimated · 20–80% range
Model value
€550k – €2.2M
Performance-implied · estimated
Projected (24m)
€1.1M – €3.0M
Resale range · estimated
Potential value gap
-€2.6M – €1.2M
Model value − acquisition

Value picture

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

Estimated acquisition€981k – €3.1M
Model value (performance-implied)€550k – €2.2M
Projected value (24 months)€1.1M – €3.0M
Dashed line: current market value (€4.0M). Bars are 20–80% model ranges; tick = median.

The model rates Nicolai Vallys's performance-implied value at EUR 0.6M-2.2M, below the estimated acquisition range of EUR 1.0M-3.1M. Its 24-month market value projection is EUR 1.1M-3.0M. Context-adjusted goal contributions are 0.99x the positional average in the league (1606 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: 35

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

PerformanceBelow average30th pct among ATT peers (age-neutral)
AgeUnfavorable29.8 years
Acquisition costVery favorableest. €1.3M vs market €4.0M
Expected appreciationVery low-56% over ~2 years (model)
Value gapVery negativeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.47
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: €6.0M

Profile vs positional peers

Percentiles among 900 evaluated ATT players with 900+ minutes.

Performance (last season, league)

Minutes
1606 (81% of available)
Goals + assists / 90
0.56
Context-adjusted G+A / 90
0.41
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
30 (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)
1336
Opponent strength
1254
Possession, role
Data unavailable

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

Potential

Development
Low
Trajectory
improving
Breakout probability
Age > 23
Resale range (24m)
€1.1M – €3.0M

Trajectory drivers: minutes share up 31 pts; league level up (+45 Elo); relative output up 42% vs positional peers.

Historical comparables (8): median 2-year value change -48% (IQR -65% to -9%).

Risk profile

Overall: Moderate

  • ⚠Limited sample: 1606 league minutes last season.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠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
20 (ATT)
Relative output kept
78%–121%
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.
2025/26Bröndby IFSuperligaLW20160681%550.560.41125413360.47
2024/25Bröndby IFSuperligaLW1699550%220.360.29132413420.38
2023/24Bröndby IFSuperligaAM22192097%1070.800.52128614170.48
2022/23Bröndby IFSuperligaLW15130966%630.620.46128413290.47
2022/23Silkeborg IFSuperligaLW651526%230.870.59130312660.47
2021/22Silkeborg IFSuperligaLW22190396%870.710.69127512310.45
2019/20Silkeborg IFSuperligaRW23140660%300.190.40129610980.41

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Uefa Conference League QualifyingBröndby IF5450211405
2025/26Oddset PokalenBröndby IF219610—
2024/25Oddset PokalenBröndby IF426122—
2023/24Oddset PokalenBröndby IF324800—
2022/23Uefa Europa League QualifyingSilkeborg IF2180001367
2022/23Oddset PokalenBröndby IF15100—
2021/22Oddset PokalenSilkeborg IF217011—
2019/20Oddset PokalenSilkeborg IF437100—

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
Anton Zabolotnyi
Premier Liga · 2021
30€2.5M€1.0Mfell
Krzysztof Piatek
Super Lig · 2024
29€6.0M€7.0Mflat
Dmitriy Poloz
Premier Liga · 2021
30€2.0M€2.5Mrose
Jhonder Cádiz
Liga Portugal · 2024
29€3.0M€2.5Mflat
Stefano Napoleoni
Super League 1 · 2015
29€1.5M€1.0Mfell
Davidson
Super Lig · 2021
30€4.0M€1.5Mfell
Ohi Omoijuanfo
Superliga · 2024
30€1.8M€350kfell
Deniz Türüç
Super Lig · 2024
31€1.7M€500kfell

Transfer history

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

DateFromToFeeMV at time
31 Aug 2022Silkeborg IFBröndby IF€3.0M€1.5M
1 Jul 2019FC RoskildeSilkeborg IFUnknown€200k
1 Jul 2018SkovshovedFC RoskildeFree / loan€50k
1 Aug 2016BK SkjoldSkovshovedFree / loanData unavailable
1 Jul 2015BK Skjold U19BK SkjoldUnknownData 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.