Video summary

MAX Vs MIN Hidden Attributes - FM26 Experiment

Main summary

Key takeaways

Gaming

Storyline / Experiment Setup (FM26)

This video is an experiment comparing two regen strikers who show very similar visible outcomes at the start, but have radically different hidden attributes.

Taylor Bridgeford Stanfield (Max side)

  • Labeled as having very poor hidden/mental traits (most hidden attributes are set low).
  • Determination is set to 1, with other hidden traits largely suppressed.
  • Despite the weak hidden traits, he begins as an elite-looking talent, with about:
    • CA ~170 / PA ~185

Chisy Just Ham (Min side)

  • Starts with low “hidden” failure-type settings:
    • Determination set very high
    • Key hidden attributes are largely around 20, representing the “good hidden attributes” case.
  • His raw output begins worse: the narrator notes he’s effectively ~70 attribute points behind Taylor at the start.
  • However, his hidden attributes are positioned to support growth.

Management/Long-term Setup

  • The narrator keeps both players on a shortlist while running a non-league club to prevent them being snapped up by other employers.
  • Lower-tier signings/loans are used mainly to avoid getting sacked.

Gameplay / Career Progression Highlights

1) First season after moving (base-level outcome check)

  • Taylor

    • Signs for Newcastle.
    • Gets substantial playing time (Premier League caps/subs, Champions League starts).
    • Produces goals (not disastrous for a debut season), but:
      • his CA barely improves, staying around ~170
    • Newcastle finishes 6th.
  • Chisy

    • Ends up at Nottingham Forest.
    • Dominates youth/low competitive levels first, with extremely strong youth stats.
    • CA rises much faster, jumping substantially.
    • By the next seasons, he becomes closer to “real-world usable quality.”
    • The narrator emphasizes game time + competitive environment as crucial.

2) Loan strategy and “league competitiveness caps”

The narrator explains a key development mechanic:

  • League strength affects improvement.
    • If a player is too good for a weak league, they may hit a ceiling in current ability growth (a “competitiveness/ability cap” effect).
  • Better development often happens when a loan provides:
    • enough quality opponents, and
    • enough minutes to avoid stagnation.

Chisy’s development follows this pattern:

  • Example: after a Championship loan stint (e.g., Bristol City),
    • he returns with higher CA
    • and attributes such as pace, finishing, and on-the-ball moving toward “Premier League capable” levels.
  • His performances include “clutch” moments that translate into attribute gains and better match ratings.

3) Multiple seasons of outcomes: the gap widens

Over time, the experiment repeatedly shows a divergence:

  • Taylor (poor hidden attributes)

    • CA stagnates for long stretches (stays ~170 for a while despite being good enough to play).
    • increasing dissatisfaction: he loses trust, becomes unhappy, and faces personality friction.
    • Produces inconsistent performances that never fully match his displayed ability.
  • Chisy (good hidden attributes)

    • faster CA growth (toward mid/high-160s, then 170+).
    • improved consistency and eventual star-level output.
    • a career trajectory leading to elite trophies and peak performances.

4) Big club transfers and the “pecking order” effect

  • Chisy

    • Transfers to Man City and plays behind Erling Haaland.
    • Progress continues, though early starts are reduced.
    • Later moves to Spurs, becoming a dominant figure:
      • contributes heavily in domestic titles and continental runs
      • continues chasing top-level honors and personal awards.
  • Taylor

    • Also transfers (e.g., to Liverpool), but his hidden-trait problems remain visible through:
      • ongoing happiness/trust issues
      • output below potential/CA
      • and a later decline

Key Tips / Strategies Mentioned

  • Personality/hidden attributes affect:

    • improvement speed,
    • ability retention over time,
    • how consistently a player performs,
    • and manager/player harmony (which influences playing time).
  • Game time matters (especially after youth), but fit matters more:

    • train first before youth is fully complete,
    • then ensure adequate match exposure once ready.
  • Loan strategy rule of thumb

    • Don’t loan a future star into a league that’s too easy—development can stall due to competitiveness limits.
    • Sometimes a Championship role with the right minutes beats a League One / low-tier “starter” role with insufficient challenge.
  • Monitor loan “will he play?” signals

    • Watch manager/player satisfaction cues (e.g., inbox messages, squad selection trust).
    • If they won’t play regularly, the loan may not produce growth.

Core idea: the “right” environment amplifies growth; the wrong one can stall it even for talented players.


Conclusion of the Experiment

In the long run, the narrator’s takeaway is that hidden attributes (largely personality-linked traits) are decisive:

  • The better hidden attribute case results in:

    • a far stronger career trajectory,
    • higher peak CA,
    • better consistency,
    • and a better trophy haul.
  • The worse hidden attribute case tends to:

    • stagnate,
    • underperform relative to ability,
    • and decline earlier.

Gamers / Sources Featured (as stated)

  • No specific external sources are credited.
  • Featured creator/identity:
    • the video creator narrating and playing
    • including mention of streaming on Twitch, and a Bolton save (promo).
  • No other named gamer channels/creators are explicitly credited beyond the narrator himself.

Original video