Bjørn Paulsen

35 yrs · Centre-back (also CM, LM, RM) · Denmark
Odense Boldklub · Superliga · Foot: right · Height: 191 cm
Risk: Very HighConfidence: LowSample: LowDevelopment: LowContract: Data unavailable
Market value
€25k
Updated today
Estimated acquisition
€6k – €67k
Estimated · 20–80% range
Model value
€102k – €225k
Performance-implied · estimated
Projected (24m)
€22k – €106k
Resale range · estimated
Potential value gap
€35k – €219k
Model value − acquisition

Value picture

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

Estimated acquisition€6k – €67k
Model value (performance-implied)€102k – €225k
Projected value (24 months)€22k – €106k
Dashed line: current market value (€25k). Bars are 20–80% model ranges; tick = median.

The model rates Bjørn Paulsen's performance-implied value at EUR 0.1M-0.2M, above the estimated acquisition range of EUR 0.0M-0.1M. Its 24-month market value projection is EUR 0.0M-0.1M. Confidence is low: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Acquisition note: Contract end date unavailable: range widened by 15% each side.

Bargain Index: not assigned

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

Insufficient sample (< 900 league minutes)

PerformanceBelow average2.1th pct among DEF peers (age-neutral)
AgeUnfavorable35 years
Acquisition costUnfavorableest. €30k vs market €25k
Expected appreciationVery high+73% over ~2 years (model)
Value gapVery largeweak predictor on its own
DevelopmentLow
League translationUncertainleague coefficient 0.47
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskVery High
Data confidenceLow

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: €1.0M

Profile vs positional peers

Percentiles among 1269 evaluated DEF players with 900+ minutes.

Performance (last season, league)

Minutes
669 (34% of available)
Goals + assists / 90
0.14
Context-adjusted G+A / 90
0.11
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
2 (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)
1215
Opponent strength
1243
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)
€22k – €106k

Historical comparables (8): median 2-year value change +0% (IQR -32% to +0%).

Risk profile

Overall: Very High

  • ▲Small sample: 669 league minutes last season.
  • ▲Age 35: resale value typically declines.
  • ▲Projection range among the widest 10% of evaluated players.
  • ⚠League level coefficient 0.47 (1.00 = big-five average): output may not translate.
  • ⚠No continental-competition minutes last season.
  • ⚠Played under 40% of available league minutes (injury data unavailable, cause unknown).
  • ⓘContract end date unavailable (or stale in source).
  • ⓘ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
24 (DEF)
Relative output kept
60%–139%
Held a regular role (900+ min)
71%
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.
2025/26Odense BoldklubSuperligaCB1666934%100.130.11124312150.47
2023/24Odense BoldklubSuperligaCB18118560%020.150.15131812200.48
2022/23Odense BoldklubSuperligaCB19170086%110.110.09128412400.47
2016/17Esbjerg fBSuperligaRM20143561%220.250.33131612060.48
2015/16Esbjerg fBSuperligaLM25225076%300.120.20130212240.53
2015/16Sönderjyske FodboldSuperligaCM763021%020.290.27131514030.53
2014/15Sönderjyske FodboldSuperligaRM32256986%430.250.30136712550.48
2013/14Sönderjyske FodboldSuperligaCB32282995%440.250.23135013380.63
2012/13Sönderjyske FodboldSuperligaCB31186763%310.190.14135613030.54

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Oddset PokalenOdense Boldklub36721—
2023/24Oddset PokalenOdense Boldklub17500—
2022/23Oddset PokalenOdense Boldklub19100—
2016/17Oddset PokalenEsbjerg fB218000—
2015/16Oddset PokalenEsbjerg fB213500—
2014/15Oddset PokalenSönderjyske Fodbold551000—
2013/14Oddset PokalenSönderjyske Fodbold221000—
2012/13Oddset PokalenSönderjyske Fodbold211730—

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
Agus García
Superliga · 2019
34€100k€225krose
Pavel Alikin
Premier Liga · 2021
37€50k€25kfell
Andreas Bjelland
Superliga · 2024
36€75k€25kfell
Alexandru Epureanu
Super Lig · 2023
37€100k€100kflat
Giannis Christou
Super League 1 · 2016
35€100k€100kflat
Anton Kravchenko
Premier Liga · 2024
33€100k€100kflat
Salih Dursun
Super Lig · 2024
33€100k€100kflat
Hasan Ali Kaldırım
Super Lig · 2024
35€100k€75kfell

Transfer history

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

DateFromToFeeMV at time
1 Jul 2026Odense BKRetiredUnknown€25k
12 Jul 2022HammarbyOdense BKUnknown€450k
15 Jul 2021FC IngolstadtHammarbyFree / loan€500k
7 Jan 2019HammarbyFC Ingolstadt€500k€900k
16 Jan 2017Esbjerg fBHammarby€245k€400k
31 Aug 2015SönderjyskEEsbjerg fB€550k€500k
1 Jul 2009Sönderjyske U19SönderjyskEUnknownData 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.