# How we review basketball manager games

> Our review framework for basketball management games — nine weighted criteria built for basketball, a structured feature sheet and a reproducible test protocol.

Source: https://basketballmanagers.com/about/

Basketball Managers is the reference for one specific obsession: **basketball management games**. A general sports-game review asks whether a game is fun. We ask a sharper question: **does it make you think like a general manager and a head coach — and does basketball behave like basketball?**

## The nine criteria

Every review scores each criterion from 0 to 10. Weights reflect how much each area matters in a basketball manager game. For single player games the multiplayer criterion does not apply and the other weights are scaled to 100%.

| Criterion | Weight | The question we answer |
| --- | --- | --- |
| Match engine | 22% | Does the simulation produce believable basketball? |
| Players & development | 18% | Are players worth studying, scouting and developing? |
| Front office & salary cap | 14% | Are contracts, cap and trades a real puzzle? |
| Coaching & tactics | 12% | Do my coaching decisions change results? |
| League & world | 10% | Is the league alive, credible and varied? |
| Interface & UX | 10% | Can I find and use information quickly? |
| Longevity | 7% | Will it still work — and matter — in season 30? |
| Business model | 7% | Is the price fair, and is winning ever for sale? |
| Multiplayer ecosystem | +10% | Online only: is the competition fair and alive? |

### 1. Match engine

- **Statistical realism:** league-wide pace, shooting splits, three-point rate, rebounds, turnovers and free throws close to the real game (or to the era/ruleset being simulated); believable stat lines for stars, role players and bench.
- **Granularity:** possession-by-possession simulation versus a statistical result model; play-by-play, box score, shot data.
- **Ratings that matter:** how many attributes, and whether they translate into performance (a shooter shoots, a rim protector protects).
- **Game flow:** fatigue, foul trouble, bonus, overtime, clutch time, momentum, garbage time, injuries.
- **Variance:** upsets are possible but talent wins over a season; no "random number" seasons.
- **Ruleset:** NBA (48 minutes) and FIBA (40 minutes) rules where relevant.

### 2. Coaching & tactics

- Rotations, minutes distribution, starters and closing lineups.
- Offensive systems (pace, pick-and-roll, motion, isolation, post-up, three-point volume) and defensive schemes (man, switch, drop, zone, pressure).
- Whether tactics produce measurable effects and readable trade-offs — not decorative sliders.
- Practice, focus and in-game adjustments, if present.

### 3. Players & development

- Depth and clarity of ratings; positions and archetypes in a positionless era.
- Progression, peak age and aging curves; potential as uncertainty, not a fixed number.
- Scouting: hidden or fuzzy ratings that make evaluation a skill.
- Draft: class quality and variance, lottery, pick value over time.
- Morale, roles, playing-time demands and team chemistry.
- Injuries and recovery.

### 4. Front office & salary cap

- Contract rules: lengths, options, rookie scale, minimums and maximums, re-signings.
- Cap model: none, club budget (European style), salary cap, or full cap with luxury tax and exceptions.
- **Trade AI:** fair valuation of age, contract and picks; resistance to exploits; multi-team trades and future picks.
- Free agency and player preferences; or the transfer market in European-style games.
- Club finances: ticket prices, attendance, revenue, staff and facilities; owner or board expectations.

### 5. League & world

- League structures: NBA-style (draft, conferences, playoffs), European (promotion and relegation, cups), international, college, historical seasons.
- Data: fictional, real but unlicensed, or officially licensed; editors and custom leagues.
- **AI teams:** do the other franchises rebuild, contend and manage the cap sensibly?
- History, awards, records and Hall of Fame: the stories a league tells over time.

### 6. Interface & UX

- Information architecture: how many clicks to answer a GM question.
- Sortable tables, player comparison, filters and search.
- Simulation speed, onboarding and learning curve.
- Mobile and touch support, accessibility, languages, stability and saves.

### 7. Longevity

- League stability over decades: no talent inflation, no cap collapse, no dynasties that are impossible to stop.
- Goals, challenges and reasons to start a new save.
- Developer support and update cadence.

### 8. Business model

- Price versus content; ads; in-app purchases; subscriptions; timers and energy systems.
- **Pay-to-win** is the hardest penalty: if money buys results, the competition is broken.

### 9. Multiplayer ecosystem (online games only)

- Competitive fairness and anti-cheat (multi-accounts, collusion).
- Health of the shared market and economy.
- Activity of leagues and community; time commitment and schedule (real-time, daily, weekly).

## The feature sheet

Every review includes a structured feature sheet — match engine type, match view, real or fictional data, league structures, salary rules, trades, draft, scouting, training, staff, finances, youth, chemistry, injuries, promotion and relegation, editor, offline play, cross-platform saves and monetization. We only list what we have verified.

## How we test

1. **Play for real:** multiple full seasons as a normal player, plus long simulations.
2. **Stress test the league:** simulate at least 20 seasons (where the game allows) and check stat drift, talent inflation, cap health and competitive balance.
3. **Test the trade AI:** try classic exploits — consolidation trades, salary dumps, overvalued picks.
4. **Check the numbers:** compare league-wide stats with real basketball averages.
5. **Test the business model:** play without paying; note every ad, timer and purchase prompt.
6. **Document it:** hours played, seasons simulated, platform, version and test date appear in the review.

## The score

| Score | Meaning |
| --- | --- |
| 9.0 – 10 | Hall of Fame. A reference for the genre. |
| 8.0 – 8.9 | All-Star. Easy recommendation. |
| 6.5 – 7.9 | Starter. Good, with caveats. |
| < 6.5 | Bench. Only for specific needs. |

The overall score is an editorial judgment anchored to the weighted average of the criteria; when it differs, the review explains why. Reviews are updated when a game changes significantly, and the update date is always shown.

## Independence

Developers never pay for reviews and never see them before publication. Any conflict of interest is disclosed at the top of the review.

## FAQ

### How does Basketball Managers score a game?

Every game is scored from 0 to 10 on eight criteria built for basketball management games — match engine, coaching and tactics, players and development, front office and salary cap, league and world, interface, longevity and business model — plus a multiplayer ecosystem criterion for online games. Criteria are weighted; the overall score is an editorial judgment anchored to the weighted average.

### What is the most important criterion?

The match engine (22%), because every decision in a manager game is only as meaningful as the simulation that turns it into results. Players and development (18%) and front office and salary cap (14%) follow.

### Do developers pay for reviews?

No. Developers never pay for reviews and never see a review before publication. Any conflict of interest is disclosed at the top of the review.