Analytics surface area in sports sims — rubric + comparison table
Some games ship dashboards, others ship spreadsheets you happen to play. This post is a reusable review rubric with tables you can copy into other write-ups.
Comparison matrix
| Title | Built-in graphs | Export | Mod / API | Learning curve | Honest grade |
|---|---|---|---|---|---|
| Sim A | Season trends only | CSV box | No | Low | B− |
| Sim B | None | Full play log | Lua hooks | High | A− for tinkerers |
| Sim C | Win prob widget | Screenshot era | CSV partial | Medium | C+ |
| Sim D | Deep charts | Parquet | REST (beta) | Medium | A (if docs ship) |
Feature checklist (copy as Markdown)
- [ ] Live filters (position, opponent strength, home/away)
- [ ] Linked views (click bar → film / play list)
- [ ] Reproducibility (same seed → same chart?)
- [ ] Accessibility (colorblind palettes, not only red/green)
- [ ] Mobile (does your blog table scroll? does their app?)
When tables beat charts
- Contract comparisons — readers want exact years and guarantees.
- Patch diffs — version numbers and changelog rows beat a line chart.
- Multiplayer leagues — standings + SOS table tells more than a donut chart.
When charts beat tables
- Time series — injury minutes, fatigue, morale.
- Spatial — shot maps, pass networks, heat on the pitch.
- Distributions — histogram of sim outcomes for the same tactic.
One “general analytical tool” every sim blogger should own
A single normalized CSV schema for matches: date, team, opponent, score, key rates you care about. Every viz flows from that file — charts become cheap, tables stay honest.
Template takeaway: mix one visual, one wide table, and one opinion block per post so the page feels like analysis, not only decoration.