| Time | Action | Score | Copy |
|---|---|---|---|
| {{ entry.time }} | {{ entry.action }} | {{ entry.score }} |
| Metric | Value | Copy |
|---|---|---|
| {{ row.label }} | {{ row.value }} |
Live scorekeeping is mostly about clarity under pressure. When points change quickly and the clock is moving, a good scoreboard view tells you who leads, how fast the game state is changing, and what the bench needs to care about next. This package turns a simple two-team scoreline into a running game log with timer context and late-game prompts.
The core job is intentionally direct: track two teams, adjust scores by a chosen point step, and keep a timestamped history of every scoring or clock action. On top of that, the package adds a pauseable countdown timer, a configurable late-game clutch window, a stats table, and a bench-planning pane that reframes the same state into coaching-style cues.
That makes it useful for informal games, practices, local table duty, or any situation where one person is manually tracking a two-team contest without a full scoring console. A close match with only a small lead near the final minutes feels different from a wide-margin game, and the tool surfaces that difference immediately in the leader summary, the spread metric, and the bench recommendations.
The exports are practical rather than ceremonial. History can be copied or downloaded as CSV or DOCX, the stats summary has its own CSV and DOCX path, and the JSON tab preserves the current state with team names, scores, timer remainder, and the full action log. That gives you a clean record for handoff, recap, or dispute resolution without rebuilding the timeline later.
The boundary is equally important. This is a generic manual scoreboard, not a sport-specific official scoring system. It does not know fouls, possessions, periods, lineups, or league rules. The bench plan is a package-defined guidance layer built from score spread, timer state, and log volume, so it should be read as operational prompting rather than an official rulebook instruction.
Start with team names and the scoring step before touching the clock. The point step matters because it defines what one button press means. A basketball-style table might use two or three points depending on the moment, while a simpler game may use a fixed single-point step. This package keeps the step global so every score action stays consistent until you deliberately change it.
The timer should be treated as context, not as the only truth on the page. When it is running, the summary line shows the countdown and the bench panel changes tone depending on whether the clock has entered the clutch window. When it is paused, the tool switches the primary advice from late-game urgency to synchronization, which is useful when you need to reconcile the log before play resumes.
The history tab is best for event tracking. It records each score change, timer start, pause, completion, reset, and manual score reset with a local timestamp and the scoreline at that moment. The stats tab is better for the quick questions: who leads, by how much, how many total points have been scored, how many updates have been logged, and what the last action was.
The bench tab should be read as situational prompting. A tie game triggers one set of recommendations, a narrow lead triggers another, and a larger spread softens the urgency. Log volume matters too, because a long update history suggests the scorer should export and lock the timeline at a stoppage rather than keep relying on memory.
If you are sharing the result, export the tab that matches the audience. History exports suit a scorer or event recap. Stats exports suit a coach or organizer who wants the current state without the full log. The JSON payload is best when another tool or person needs the raw state without reinterpretation.
The score model is deliberately small. Team A and Team B each hold a non-negative integer score. Every score button applies the current step as a positive or negative delta, and the package clamps the result at zero so manual decrements cannot drive a score negative. Each scoring change immediately inserts a history row with a unique event identifier, a local timestamp, the action label, and the full scoreline string.
The timer is a countdown measured in milliseconds. It starts from the configured match length, decrements in 100-millisecond slices while running, and snaps its display to whole seconds for readability. Starting, pausing, completing, and resetting the timer all generate history entries, which means the clock narrative is part of the same event log as the score changes rather than a separate hidden state.
The clutch logic is also explicit. A boolean late-game state turns true when the remaining milliseconds are less than or equal to the configured clutch window in minutes. That single condition reshapes the P1 bench recommendation from ordinary logging guidance into final-minutes command guidance. Score spread, tie state, and update count then add the P2 and P3 recommendations layered underneath.
Here PA and PB are the two team scores, S is the score spread, T is the remaining timer value in milliseconds, W is the clutch-window setting in minutes, and C is the late-game state used by the bench planner. The stats pane derives leader text, total points, history update count, timer label, and last action from the same source values, so there is no secondary summary engine to drift out of sync.
The export surfaces follow the active state directly. History CSV and DOCX exports serialize the current event log. Stats CSV and DOCX exports serialize the computed metric rows. The JSON tab packages team names, scores, point step, timer remainder, and the history array into one structured payload. The tool keeps history capped at 200 entries, which is enough for a long manual log but prevents the page from growing without limit.
| Output | How it is derived | Why it matters |
|---|---|---|
| Leader text | Compares Team A and Team B scores and reports either a tie or the leader plus spread | Gives a fast game-state summary without scanning the raw scores |
| Timer label | Formats remaining milliseconds as MM:SS and appends paused state when relevant |
Keeps the clock readable during manual table work |
| Bench recommendations | Combines clutch state, tie or lead state, score spread, and update count into P1 to P3 prompts | Turns raw numbers into actionable table-side cues |
| Stats rows | Summarizes leader, spread, total points, update count, timer status, and last action | Provides the cleanest handoff for coaches and organizers |
| JSON payload | Serializes the live state with team names, scores, timer remainder, and history | Supports archiving or downstream machine-readable reuse |
| Action source | Example log entry | Recorded scoreline |
|---|---|---|
| Score adjustment | Team A +2 or Team B -1 |
Yes |
| Timer start or pause | Timer started or Timer paused |
Yes |
| Timer completion or reset | Timer completed or Timer reset |
Yes |
| Manual score reset | Scores reset |
Yes |
The big scoreline is only the top layer. The leader text tells you whether the game is tied or who leads by how much. The spread metric tells you how fragile that lead is. A one-step margin deserves a different bench response from a wide lead, especially when the timer is inside the final window.
The history log is the truth source when memory and the visible score disagree. If the scoreboard feels wrong, scroll the event rows before making another adjustment. The most recent action, timer state, and scoreline are often enough to explain the current state without redoing the whole sequence.
Bench recommendations should be read as prompts, not commands. A P1 clutch message means the timer and late-game window call for tighter decision discipline. A P2 leverage message means the score context is still volatile. A P3 discipline message is about recordkeeping load, which matters more as the event count grows.
The clock drops into the clutch window while the score is level. The leader text switches to a tie-game summary and the bench planner raises its highest-priority late-game prompt. That combination tells the table crew and bench that every next possession should be logged and managed carefully.
One team leads by only a single scoring step and the history log has already accumulated many updates. The stats tab shows a fragile spread while the bench planner warns that the timeline should be exported at the next stoppage. That is a practical sign that the game state is still volatile and the log is now important operational evidence.
After a short scrimmage segment, the operator resets the scores and timer before the next run. The reset actions are recorded in the history tab, so the state change is visible instead of silent. That makes it easier to explain where one segment ended and the next one began.
No. It tracks a generic two-team score, a countdown clock, and a package-defined guidance layer built from that state.
The countdown runs in 100-millisecond steps for smoother updates, but the visible label is rounded to whole seconds for readability.
The score is clamped at zero, so a manual decrement cannot make a team score negative.
Use JSON when another tool or person needs the full live state, including team names, scores, timer remainder, and the complete action log.