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How scoring works: Mathler

Your game score comes from your own puzzle result. Your party rank compares that score with your party's submissions for the same day.

Quick summary

Solve in fewer guesses to improve your Mathler game score. Your party rank compares your game score with other party submissions for the same game/day and can change as new submissions arrive.

How to score well

  • Use each equation guess to eliminate number and operator patterns.
  • Fewer guesses produce a better normalized score.
  • Unsolved puzzles score lower than solved puzzles.

How ranking works in parties

  • Your rank compares your game score to other party submissions for the same game/day.
  • Ranks recalculate when new submissions arrive.
  • Ties use competition ranking (1, 1, 3).

Example

If you solve Mathler in 2 guesses, you usually score well, but your final rank depends on your party's submissions.

Technical scoring data 
{
    "ranking": {
        "tie_algorithm": {
            "key": "competition_ranking",
            "display_name": "Competition ranking"
        }
    },
    "examples": [
        "Review this games examples in PR for readability and correctness."
    ],
    "rule_text": "Lower raw scores produce better normalized scores.",
    "edge_cases": [
        "Review edge-case copy in PR to ensure behavior is understandable."
    ],
    "measurement": {
        "metric_key": "guess_count",
        "metric_label": "Guesses",
        "scoring_type": "lower_better"
    },
    "human_review": {
        "checklist": [
            "Verify rule_text reflects the scoring behavior without ambiguity.",
            "Verify examples are readable and match expected outcomes.",
            "Verify edge_cases are clear and non-conflicting."
        ],
        "machine_verifiable_scope": [
            "measurement.scoring_type",
            "absolute_scoring.method",
            "absolute_scoring.solved_floor",
            "absolute_scoring.unsolved_score",
            "absolute_scoring.range.best",
            "absolute_scoring.range.worst_solved",
            "absolute_scoring.brackets",
            "ranking.tie_algorithm.key",
            "party_ranking.normalization_summary"
        ]
    },
    "party_ranking": {
        "normalization_summary": "Party ranking uses peer min/max normalization so each solved score is compared to that party's best and worst solved results for the day."
    },
    "schema_version": 1,
    "absolute_scoring": {
        "range": {
            "best": 1,
            "worst_solved": 0.2
        },
        "method": "lower_better",
        "scoring_type": "lower_better",
        "solved_floor": 0.2,
        "unsolved_score": 0
    }
}