Note
Go to the end to download the full example code.
Rating spread: beeswarm
plot_rating_benchmark() ranks players as
horizontal bars – great for “who’s best,” but it can’t show whether the
squad is one tight cluster around average or has a real standout and a
long tail. plot_rating_beeswarm() plots the
same 0-100 rating as one dot per player instead, spread apart just enough
to stay readable, so the shape of the distribution is visible at a
glance.
As with every other single-match example in this gallery, ratings here
are z-scored against a sample of six players – see
wa_setpieces.core.rating’s module docstring on why a real rating
needs a full season/competition behind it, not one match.
from pathlib import Path
from wa_setpieces import load_matches
from wa_setpieces.core.rating import player_rating
from wa_setpieces.core.xt import XTModel
from wa_setpieces.viz.plots import plot_rating_beeswarm
try:
_here = Path(__file__).resolve().parent
except NameError:
_here = Path.cwd()
DATA = _here.parent / "tests" / "data" / "sample_match.json"
events = load_matches(DATA)
model = XTModel.fit(events, x_bins=8, y_bins=6)
fig, ax = plot_rating_beeswarm(rated, title="Corner rating spread")
