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Comparison · Infra & APIs

ggfootball vs plssem

A side-by-side editorial comparison of ggfootball and plssem — release velocity, themes, recent moves, and the top alternatives to consider.

ggfootball vs plssem: at a glance

Featureggfootballplssem
SectorInfra & APIsInfra & APIs
Velocity score0.00.0
Sparks · 30d00
Top themessports-analytics, r-package, data-scraping, expected-goalsstructural-equation-modeling, partial-least-squares, multilevel-models, standard-errors
Last editorial update48m ago2h ago
WebsiteVisit →Visit →

What is ggfootball?

A football-viz package just swapped scraping for an API and broke its own output to do it.

ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.

Read the full ggfootball trajectory →

What is plssem?

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

Read the full plssem trajectory →

ggfootball vs plssem: editorial side-by-side

G
ggfootball
INFRA · APIS
0.0

A football-viz package just swapped scraping for an API and broke its own output to do it.

◆ Current state

ggfootball is a small R package for plotting expected-goals and shot data, sourced from Understat. Four releases are visible. The 0.2.x line was argument tidying and dependency pruning; 0.3.0 replaced the data-acquisition layer wholesale, moving get_match_shots() from HTML parsing onto Understat's AJAX endpoints and changing the returned column names in the process.

◆ Where it's heading

The direction is away from scraped HTML and toward a thinner, more defensible package: four dependencies dropped in 0.3.0 on top of qdapRegex in 0.2.1, input validation added, error messages rewritten. Both breaking changes so far were accepted rather than deferred, which reads as a maintainer treating pre-1.0 as the window to get the shape right. The package is willing to break callers for structural reasons, not cosmetic ones.

◆ Prediction

With the scraper rebuilt and the dependency surface trimmed, the next releases are likely to stabilise the new column names and extend the plotting side, which has seen nothing since 0.2.0. A 1.0 would be the signal that the data structure is now considered fixed.

P
plssem
INFRA · APIS
0.0

plssem took PLS-SEM into multilevel data, then spent two releases making the estimates trustworthy.

◆ Current state

plssem is a young R implementation of partial least squares structural equation modelling, three CRAN releases old and shipping monthly. Its distinguishing work is the MC-PLS family — consistent PLS estimators the maintainer extended to mixed-effects designs in June — and the releases since have been about getting standard errors, admissibility and fit measures onto the same footing as the point estimates.

◆ Where it's heading

The pattern is capability first, inference second. Multilevel MC-PLSc and MC-OrdPLSc arrived in 0.1.2 together with Monte-Carlo delta-method standard errors and a Polyak-Juditsky extrapolation step; 0.1.3 then extended delta-method errors to redundant parameters and thresholds, optimized their computation, added a loglikelihood-based fit measure and generated dynamic bounds to keep MC-PLS solutions admissible. Admissibility recurs throughout — penalized inadmissible solutions in 0.1.1, variance lower bounds and negative residual variance handling in 0.1.3, and an option to drop inadmissible bootstraps rather than silently include them. The release notes are pull-request lists, so the reasoning behind each change stays in the repository.

◆ Prediction

The MIMIC mode and GLS estimator both landed in the most recent release without the standard-error and fit-measure work that followed earlier additions, so extending inference to cover them is the natural next step. Bootstrap defaults moving to 500 replications suggests runtime is a live constraint and further optimization is likely.

Alternatives to ggfootball and plssem

Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either ggfootball or plssem.

See all ggfootball alternatives → · See all plssem alternatives →

Recent activity from ggfootball and plssem

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoplssemMIMIC mode, a GLS structural estimator and delta-method thresholds
  2. 2mo agoplssemMC-PLSc and MC-OrdPLSc extend to multilevel and mixed-effects models
  3. 3mo agoplssemParallel bootstrapping, kNN and mean imputation, higher-order constructs
  4. 6mo agoggfootballggfootball 0.3.0
  5. 6mo agoggfootballggfootball 0.2.2
  6. 1y agoggfootballggfootball 0.2.1
  7. 1y agoggfootballggfootball 0.2.0

Frequently asked questions

What is the difference between ggfootball and plssem?

They serve adjacent needs but don't currently overlap on shipped themes. ggfootball and plssem are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is ggfootball better than plssem?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. ggfootball and plssem are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.

What are the best alternatives to ggfootball?

Top ggfootball alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "ggfootball alternatives" section above for the current picks, or visit /alternatives/ggfootball for the full list with editorial commentary on each.

What are the best alternatives to plssem?

Top plssem alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "plssem alternatives" section above for the current picks, or visit /alternatives/plssem for the full list with editorial commentary on each.