Kristijan Jakic

29 yrs · Defensive midfielder (also CB) · Croatia
FC Augsburg · Bundesliga · Foot: right · Height: 181 cm
Risk: LowConfidence: MediumSample: MediumDevelopment: LowContract: until 30 Jun 2028
Market value
€6.0M
Updated 7 days ago
Estimated acquisition
€2.6M – €6.6M
Estimated · 20–80% range
Model value
€2.1M – €6.9M
Performance-implied · estimated
Projected (24m)
€1.8M – €4.5M
Resale range · estimated
Potential value gap
-€4.5M – €4.3M
Model value − acquisition

Value picture

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

Estimated acquisition€2.6M – €6.6M
Model value (performance-implied)€2.1M – €6.9M
Projected value (24 months)€1.8M – €4.5M
Dashed line: current market value (€6.0M). Bars are 20–80% model ranges; tick = median.

The model rates Kristijan Jakic's performance-implied value at EUR 2.1M-6.9M, below the estimated acquisition range of EUR 2.6M-6.6M. Its 24-month market value projection is EUR 1.8M-4.5M. Context-adjusted goal contributions are 1.31x the positional average in the league (1654 minutes, league coefficient 0.94). Confidence is medium: no event-level data (xG, progressive actions) is available from the current free source, and injury history is unavailable.

Bargain Index: 12

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

PerformanceAbove average68th pct among MID peers (age-neutral)
AgeUnfavorable29.1 years
Acquisition costFavorableest. €4.5M vs market €6.0M
Expected appreciationVery low-48% over ~2 years (model)
Value gapNegativeweak predictor on its own
DevelopmentLow
League translationBig-five leagueleague coefficient 0.94
Tactical fitNot evaluatedRequires event/role data not available from the current free source.
RiskLow
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: €9.0M

Profile vs positional peers

Percentiles among 1163 evaluated MID players with 900+ minutes.

Performance (last season, league)

Minutes
1654 (54% of available)
Goals + assists / 90
0.16
Context-adjusted G+A / 90
0.16
xG, xA, progression
Data unavailable
Defensive actions
Data unavailable
Performance percentile
68 (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
0.94 (rank 3)
Team strength (Elo)
1421
Opponent strength
1489
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)
€1.8M – €4.5M

Trajectory drivers: minutes share down 21 pts; relative output up 112% vs positional peers.

Historical comparables (8): median 2-year value change -46% (IQR -59% to -34%).

Risk profile

Overall: Low

  • ⚠Limited sample: 1654 league minutes last 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.
2025/26FC AugsburgBundesligaDM26165454%210.160.16148914210.94
2024/25FC AugsburgBundesligaDM31230875%010.040.08150414040.94
2023/24FC AugsburgBundesligaDM14105534%210.260.21150813931.01
2023/24Eintracht FrankfurtBundesligaDM41986%000.000.07142414981.01
2022/23Eintracht FrankfurtBundesligaCB24145748%120.190.10150315411.04
2021/22Eintracht FrankfurtBundesligaDM26188362%100.050.05150615941.05

Cups & continental competitions

SeasonCompetitionClubAppsMinGAAvg opp. Elo
2025/26Dfb PokalFC Augsburg218000—
2024/25Dfb PokalFC Augsburg425600—
2023/24Uefa Conference League QualifyingEintracht Frankfurt244001376
2022/23Uefa Champions LeagueEintracht Frankfurt8620001668
2022/23Dfb PokalEintracht Frankfurt419200—
2021/22Uefa Europa LeagueEintracht Frankfurt12940001545
2021/22Uefa Champions League QualifyingGNK Dinamo Zagreb7548111383

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
Luca Cigarini
Serie A · 2016
30€5.0M€1.5Mfell
Pasquale Mazzocchi
Serie A · 2023
28€4.8M€2.5Mfell
Răzvan Marin
Serie A · 2024
28€2.7M€4.0Mrose
Erick Pulgar
Serie A · 2021
27€9.0M€5.0Mfell
Lucas Castro
Serie A · 2018
29€7.0M€3.2Mfell
Maxi Moralez
Serie A · 2015
28€5.0M€3.0Mfell
Luca Rigoni
Serie A · 2016
32€4.0M€1.0Mfell
Luis Milla
Laliga · 2023
29€4.0M€3.5Mflat

Transfer history

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

DateFromToFeeMV at time
1 Jul 2024FrankfurtAugsburg€5.0M€6.5M
30 Jun 2024AugsburgFrankfurtFree / loan€6.5M
19 Jan 2024FrankfurtAugsburgFree / loan€5.5M
1 Jul 2022Dinamo ZagrebFrankfurt€3.5M€9.0M
30 Jun 2022FrankfurtDinamo ZagrebFree / loan€9.0M
30 Aug 2021Dinamo ZagrebFrankfurtFree / loan€4.0M
11 Aug 2020NK LokomotivaDinamo Zagreb€1.2M€1.2M
30 Jun 2018NK IstraNK LokomotivaFree / loan€250k
5 Feb 2018NK LokomotivaNK IstraFree / loan€350k
5 Jul 2017RNK SplitNK Lokomotiva€135k€350k
8 Jan 2016RNK Split U19RNK SplitUnknownData unavailable
1 Jul 2014RNK Split U17RNK Split U19UnknownData unavailable
19 Aug 2013NK Imotski U17RNK Split U17UnknownData unavailable
1 Jul 2012NK Imotski JgdNK Imotski 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.