NOVASMC

GAME DECISION MAP

Uma Musume Pretty Derby

Raising Simulation · Cross-platform · 2021

Current analysisBaseline 2026-07-01Open Decision Analysis →

Choose a trainee, two legacy parents, and a six-card Support deck → run an approximately three-year Career by choosing training, rest, outings, races, and skills → build stats, skills, mood, relationships, and meet race goals → finish the scenario and create a trained Uma with inheritance factors → enter Team Trials, seasonal competition, collection, and inheritance → reinvest rewards and assets into the next Career.

Recurring Structures

Detailed Repeating Structures

What repeats and keeps the system moving?

CORE CLASSIFICATION

Compounding Growth

Choose a trainee, two legacy parents, and a six-card Support deck → run an approximately three-year Career by choosing training, rest, outings, races, and skills → build stats, skills, mood, relationships, and meet race goals → finish the scenario and create a trained Uma with inheritance factors → enter Team Trials, seasonal competition, collection, and inheritance → reinvest rewards and assets into the next Career.

Outputs strengthen assets, capabilities, or access and open a stronger next cycle.

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  1. Core

    Short Reprocessing Loop Need

    This source-declared core loop connects the game's actual repeat sequence.

  2. Acquisition

    Economy-Gacha-Growth Loop

    This source-declared loop connects the game's actual repeat sequence.

Bottlenecks

Bottleneck Patterns

Where do decisions and flow break?

CORE CLASSIFICATION

Decision and Planning Calculability Breakdown

The affected flow runs through Support depth → Career result contribution; its limiting point is the training growth planning handoff.

Multiple goals, resources, states, rules, and paths cannot be compared on one decision surface, forcing repeated reprioritization.

View pattern definition →
  1. Core

    Decision and Planning Calculability Breakdown · Training Growth

    The affected flow runs through Support depth → Career result contribution; its limiting point is the training growth planning handoff.

  2. Supporting

    Action Feedback and Failure Attribution Break · Training Mastery

    The affected flow runs through setup → result attribution; its limiting point is the training mastery result handoff.

  3. Supporting

    Obligation and Volition Erosion · Routine Training

    The affected flow runs through Career demand aggregation; its limiting point is the routine training return handoff.

  4. Supporting

    Obligation and Volition Erosion · Liveops Event

    The affected flow runs through calendar → required action; its limiting point is the liveops event return handoff.

  5. Supporting

    Rights and Lifecycle Discontinuity ·

    The affected flow runs through expiry → residual conversion; its limiting point is the result handoff.

  6. Supporting

    Resource and Value Conversion Failure · Character Collection

    The affected flow runs through completion → Career use; its limiting point is the character collection handoff.

Contradictions

Contradiction Patterns

What must improve, and what must remain protected?

CORE CLASSIFICATION

Outcome and Failure Attribution vs System Depth and Rule Integrity

Across asset-depth/result mediation quality; Support asset-depth in-run choice, improve Freedom Vs Control while preserving Revenue Vs Trust.

Causes and retry conditions for outcomes, failures, and fairness must become attributable while strategic, combat, and competitive depth and rule integrity remain protected.

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  1. Core

    Core Contradiction

    Across asset-depth/result mediation quality; Support asset-depth in-run choice, improve Freedom Vs Control while preserving Revenue Vs Trust.

  2. Supporting

    Complexity Vs Convenience / None

    Across choice/result attribution quality; setup revision → healthy retry, improve Complexity Vs Convenience while preserving None.

  3. Supporting

    Performance Vs Load / Complexity Vs Convenience

    Across time/demand exchange quality; completion → claim → return, improve Performance Vs Load while preserving Complexity Vs Convenience.

  4. Supporting

    Performance Vs Load / Freedom Vs Control

    Across calendar/action compatibility; reward → participation window, improve Performance Vs Load while preserving Freedom Vs Control.

  5. Supporting

    Revenue Vs Trust / Freedom Vs Control

    Across exchange residual/choice safety; point-expiry value continuity → next-choice predictability, improve Revenue Vs Trust while preserving Freedom Vs Control.

  6. Supporting

    Popularity Vs Scarcity / Complexity Vs Convenience

    Across acquisition → completion → Career use coherence; affection/use choice, improve Popularity Vs Scarcity while preserving Complexity Vs Convenience.

Solution Mechanisms

Solution Mechanisms

Which intervention mechanism changes the condition?

CORE CLASSIFICATION

Context Asset and Authority Isolation

Apply Context Asset and Authority Isolation across asset-depth/result mediation quality; Support asset-depth in-run choice while preserving the protected value.

Isolate truth and responsibility by surface, asset, currency, role, and authority so rules do not bleed across contexts.

View pattern definition →
  1. Core

    Context Asset and Authority Isolation · Core

    Apply Context Asset and Authority Isolation across asset-depth/result mediation quality; Support asset-depth in-run choice while preserving the protected value.

  2. Supporting

    Context Asset and Authority Isolation · Attachment

    Apply Context Asset and Authority Isolation across choice/result attribution quality; setup revision → healthy retry while preserving the protected value.

  3. Supporting

    State and Rule Visibility Encoding · Attachment

    Apply State and Rule Visibility Encoding across Career while preserving the protected value.

  4. Supporting

    State and Rule Visibility Encoding · Attachment

    Apply State and Rule Visibility Encoding across calendar/action compatibility; reward → participation window while preserving the protected value.

  5. Supporting

    Loss Trust and Entitlement Buffer · Attachment

    Apply Loss Trust and Entitlement Buffer across exchange residual/choice safety; point-expiry value continuity → next-choice predictability while preserving the protected value.

  6. Supporting

    State and Rule Visibility Encoding · Attachment

    Apply State and Rule Visibility Encoding across acquisition → completion → Career use coherence; affection/use choice while preserving the protected value.

Solution Compositions

Solution Compositions

How should interventions be combined and sequenced?

CORE CLASSIFICATION

Single-Track Localized Bundle

Connect 1 source-declared mechanism across asset-depth/result mediation quality; Support asset-depth in-run choice as Single-Track Localized Bundle.

Combine a core intervention with stabilizing or accelerating support within one problem track and keep its impact localized.

View pattern definition →
  1. Core

    Context Asset and Authority Isolation · Core Composition

    Connect 1 source-declared mechanism across asset-depth/result mediation quality; Support asset-depth in-run choice as Single-Track Localized Bundle.

  2. Supporting

    Context Asset and Authority Isolation · Attachment Composition

    Connect 1 source-declared mechanism across choice/result attribution quality; setup revision → healthy retry as Single-Track Localized Bundle.

  3. Supporting

    State and Rule Visibility Encoding · Attachment Composition

    Connect 1 source-declared mechanism across Career as Single-Track Localized Bundle.

  4. Supporting

    State and Rule Visibility Encoding · Attachment Composition

    Connect 1 source-declared mechanism across calendar/action compatibility; reward → participation window as Single-Track Localized Bundle.

  5. Supporting

    Loss Trust and Entitlement Buffer · Attachment Composition

    Connect 1 source-declared mechanism across exchange residual/choice safety; point-expiry value continuity → next-choice predictability as Single-Track Localized Bundle.

  6. Supporting

    State and Rule Visibility Encoding · Attachment Composition

    Connect 1 source-declared mechanism across acquisition → completion → Career use coherence; affection/use choice as Single-Track Localized Bundle.

  7. Supporting

    Parallel Solution-Mechanism Composition

    Connect 6 source-declared mechanisms across asset-depth/result mediation quality; Support asset-depth in-run choice as Core-First Branch-Sequential Portfolio.

  8. Supporting

    Parallel Solution-Mechanism Composition

    Connect 6 source-declared mechanisms across asset-depth/result mediation quality; Support asset-depth in-run choice as Parallel Local Contracts with Independent Rollback.