Table Tennis Statistics API for Player and Match Analytics

What Is a Table Tennis Statistics API?

A Table Tennis Statistics API gives applications structured access to player, match, tournament and historical performance data. Instead of calculating every metric from raw score pages, developers can request consistent records linked through stable player, match and tournament identifiers.

Statistics can support media graphics, player profile pages, ranking analysis, prediction models, scouting tools, betting products, research dashboards and internal business intelligence.

Every statistic should be displayed with its competition, date range, season and sample size so users understand what the number represents.

Table Tennis Statistics Available Through the API

Career Wins, Losses and Match Win Percentage

Career records should be based only on matches included in the supported historical dataset. Display the sample period so users do not assume unsupported matches are included.

match_win_percentage =
wins / completed_matches × 100

Analyse Sets Won, Sets Lost and Set Win Percentage

Set-level statistics add more detail than match results alone. A player can win a high percentage of matches while regularly dropping sets, or lose several close matches while maintaining a strong set record.

set_win_percentage =
sets_won / (sets_won + sets_lost) × 100

Measure Current Table Tennis Form

Current form should use a clearly defined recent sample rather than an undefined label such as “hot” or “cold.”

Connect Statistics With Ranking History

Ranking context helps explain how a player’s competitive position changes alongside results.

Analyse Results by Tournament

Tournament-level statistics help developers compare how a player performs across different events and stages.

Combine Statistics With Player Head-to-Head Records

Head-to-head records are particularly useful when comparing two players before a tournament match.

Retrieve Table Tennis Player Statistics

Illustrative Endpoint

GET /v1/table-tennis/players/{player_id}/statistics

Example Query

GET /v1/table-tennis/players/player_tt_101/statistics
    ?season=2026
    &tournament_id=tournament_211
    &recent_matches=10

Possible Filters

Example Table Tennis Statistics Response

{
  "data": {
    "player": {
      "id": "player_tt_101",
      "name": "Player A",
      "nationality": "EX"
    },
    "filters": {
      "season": "2026",
      "tournament_id": null
    },
    "ranking": {
      "current": 8,
      "previous": 10,
      "movement": 2
    },
    "matches": {
      "played": 42,
      "won": 31,
      "lost": 11,
      "win_percentage": 73.8
    },
    "sets": {
      "won": 112,
      "lost": 66,
      "win_percentage": 62.9
    },
    "form": {
      "last_10": [
        "W", "W", "L", "W", "W",
        "W", "L", "W", "W", "W"
      ],
      "current_win_streak": 5
    },
    "tournaments": {
      "played": 9,
      "best_finish": "semifinal"
    },
    "average_match_duration_seconds": 2280,
    "updated_at": "2026-08-07T05:30:00Z"
  }
}

All values are illustrative. Final statistics and field names must match the production data model.

Retrieve Player Statistics With JavaScript

const playerId = 'player_tt_101';

const params = new URLSearchParams({
  season: '2026',
  recent_matches: '10'
});

const response = await fetch(
  `/api/table-tennis/players/${encodeURIComponent(playerId)}/statistics?${params}`
);

if (!response.ok) {
  throw new Error(
    `Statistics request failed: ${response.status}`
  );
}

const payload = await response.json();

console.log(payload.data.matches.win_percentage);
console.log(payload.data.sets.win_percentage);

Retrieve Player Statistics With Python

import requests

player_id = "player_tt_101"

response = requests.get(
    (
        "https://api.example.com/v1/table-tennis/"
        f"players/{player_id}/statistics"
    ),
    params={
        "season": "2026",
        "recent_matches": 10,
    },
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Accept": "application/json",
    },
    timeout=15,
)

response.raise_for_status()
stats = response.json()

Retrieve Player Statistics With PHP

<?php

$playerId = 'player_tt_101';

$query = http_build_query([
    'season' => '2026',
    'recent_matches' => 10,
]);

$url = sprintf(
    'https://api.example.com/v1/table-tennis/players/%s/statistics?%s',
    rawurlencode($playerId),
    $query
);

$ch = curl_init($url);

curl_setopt_array($ch, [
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer YOUR_API_KEY',
        'Accept: application/json',
    ],
    CURLOPT_TIMEOUT => 15,
]);

$body = curl_exec($ch);
$status = curl_getinfo($ch, CURLINFO_HTTP_CODE);

curl_close($ch);

Build Historical Table Tennis Performance Trends

Historical statistics can power ranking charts, season comparisons, long-term player profiles and model features.

Useful Historical Series

• Ranking position by date
• Ranking points by release
• Match win percentage by season
• Set win percentage by season
• Win streaks over time
• Tournament finishes by year
• Head-to-head record by date
• Average match duration by period

Use Statistics as Inputs for Table Tennis Prediction Models

Table tennis statistics can become model features when they are built only from information available before the predicted match.

Handle Missing and Partial Statistics Correctly

Not every tournament will contain the same historical or event-level detail.

Cache Statistics According to How Often They Change

What Can You Build With a Table Tennis Statistics API?

Table Tennis Statistics Integration Checklist

• Use stable player, match and tournament identifiers
• Display the selected season or date range
• Show sample size with percentages
• Distinguish zero from unavailable data
• Document walkover and retirement treatment
• Use only pre-match information for prediction features
• Confirm historical depth before publishing career claims
• Refresh recent form after completed matches
• Cache slower-changing historical statistics
• Confirm storage and commercial-use rights

Table Tennis Statistics API FAQs