After scoring the first goal, is the team more vulnerable to suffer the equalizer soon after? An analysis of the Brazilian soccer Championship Serie A between 2011 and 2021
Bibliographic record
Abstract
The aim of the present study was to investigate whether, after scoring a goal, the team becomes more vulnerable to conceding a goal soon after. A total of 518 results were collected and integrated the data of the present study. The independent Chi-square test was used to analyze the data. The values of adjusted residue were observed, and all values outside the range of -1.96 to 1.96 were considered. All analyzes were performed using α = 5%. The scoring goal equalizer moment happened in the first-quarter 109 matches (21.0%), second-quarter 156 matches (30.1%), third-quarter 127 matches (24.5%), and fourth-quarter 126 matches (24.3%), totalizing 518 (100%) matches, but no association between season and scoring goal equalizer moment (χ² (30) = 28.196, p>0.05; Cramer’s V test: 0.135). The data collected showed that the equalizing goal can occur at different moments of the game, not only right after the first goal is score.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".