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I'm seeing a lot of questions in @GameFlowxPG about the #RCTID and #RSL game, so I'll wade into the deep end here.
The @AnalysisEvolved xG model has this game 1.8 to 2.47 for RSL.
@FotMob has it 2.07 to 1.69 in favor of Portland.
The #WGCF model below is barely Portland.
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The @AnalysisEvolved xG model has this game 1.8 to 2.47 for RSL.
@FotMob has it 2.07 to 1.69 in favor of Portland.
The #WGCF model below is barely Portland.
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Think of xG models like judges in a boxing match. One may score a shot one way and another a different way due to their own perspectives (both strengths and blind spots).
Usually they agree on the final winner, but often it's a split or majority decision.
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Usually they agree on the final winner, but often it's a split or majority decision.
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Although one judge may see a shot differently, in aggregate, good xG models will usually agree about a team over a season, and typically even over 5 to 10 games.
Models typically improve over time, if there is acknowledgment about their blind spots and how to improve them.
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Models typically improve over time, if there is acknowledgment about their blind spots and how to improve them.
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