Historical player matchup data

Table Tennis Head-to-Head API for Player Matchup Analysis

Compare two table tennis players using previous meetings, win/loss records, recent matchups, set history, tournament history, current form and ranking context through structured head-to-head data.

Previous Meetings Set History Ranking Comparison Recent Form
Head-to-Head Last 10 Summary
{
  "player_a_id": "player_tt_101",
  "player_b_id": "player_tt_204",
  "meetings": 10,
  "player_a_wins": 6,
  "player_b_wins": 4,
  "sets": {
    "player_a": 24,
    "player_b": 19
  },
  "latest_winner": "player_tt_101"
}
Compare Direct Meetings Wins, losses and set history
Add Current Context Rankings and recent form
Implementation notice: Endpoint paths, response fields, historical depth, ranking data and sample statistics on this page are illustrative until the final production Table Tennis API specification is confirmed.
Direct player comparison

What Is a Table Tennis Head-to-Head API?

A Table Tennis Head-to-Head API retrieves previous matches played between two selected players and summarises their direct competitive history.

A head-to-head record can include previous meetings, wins, losses, individual set scores, total sets won, recent direct matchups, tournament context and ranking information.

This data is useful for match previews, broadcaster graphics, betting analysis, prediction models, player comparison pages and tournament applications.

Head-to-Head Table Tennis Data Available Through the API

Previous Meetings

Retrieve supported historical matches played between two players.

Win/Loss Record

Summarise how many direct meetings each player won.

Recent Meetings

Focus on the most recent direct matchups rather than only all-time history.

Set History

Compare sets won and lost across previous direct matches.

Individual Set Scores

Retrieve supported set-by-set scores from previous meetings.

Tournament History

See where the players met and at which tournament stage.

Ranking Comparison

Compare current or historical ranking context where available.

Recent Form Comparison

Add each player’s latest supported match record beside direct H2H history.

Win Percentage

Calculate each player’s share of supported direct meetings.

Set Win Percentage

Compare direct sets won versus total supported sets played.

Match Duration

Compare direct-match duration where timing data is available.

Historical Trends

Track how the matchup changes over time through supported historical results.

Compare More Than the All-Time Score

A useful H2H comparison should preserve the number of matches, date range, tournaments and current player context.

Comparison What it shows Best use
Application context
All-Time H2H All supported meetings Direct wins, losses and set record Player profile and rivalry pages
Recent H2H Latest selected meetings More recent direct results Match previews and current matchup context
Tournament H2H Selected event Meetings within a specific tournament or event family Tournament previews and event history
Set Comparison Direct set history Sets won, sets lost and set win percentage Deeper matchup analysis
Current Context Ranking and form Latest ranking and recent non-H2H performance Prediction and pre-match analysis
Previous meetings

Retrieve Previous Matches Between Two Players

Each meeting should preserve the tournament, round, date, match status, winner and complete set score where supported.

Date Tournament Round Result Winner
Illustrative date Example International Open Quarterfinal 4–2 Player A
Illustrative date Example World Series Semifinal 3–4 Player B
Illustrative date Example Champions Event Round of 16 4–1 Player A
Replace all illustrative tournaments, dates, scores and player names with live API data in production.
Win/loss record

Summarise Direct Match Wins and Losses

Total Meetings

Number of supported completed direct matches between the players.

Player A Wins

Number and percentage of direct matches won by the first player.

Player B Wins

Number and percentage of direct matches won by the second player.

Latest Winner

Winner of the most recent supported direct meeting.

player_a_h2h_win_percentage =
player_a_wins / completed_h2h_matches × 100

player_b_h2h_win_percentage =
player_b_wins / completed_h2h_matches × 100
Set history

Compare Sets Won and Lost Across Direct Meetings

Set history reveals more about a matchup than the number of matches won alone.

Player A Sets Won

Total direct sets won by Player A.

Player B Sets Won

Total direct sets won by Player B.

Set Differential

Difference between sets won and lost.

Set Win Percentage

Share of all supported direct sets won by each player.

Illustrative Set History

{
  "match_id": "match_tt_48291",
  "winner_id": "player_tt_101",
  "sets": [
    {"set": 1, "player_a": 11, "player_b": 7},
    {"set": 2, "player_a": 9, "player_b": 11},
    {"set": 3, "player_a": 11, "player_b": 6},
    {"set": 4, "player_a": 8, "player_b": 11},
    {"set": 5, "player_a": 11, "player_b": 9},
    {"set": 6, "player_a": 11, "player_b": 5}
  ]
}
Recent meetings

Focus on the Most Recent Head-to-Head Matches

Recent meetings can be more relevant to a current preview than matches played many years earlier.

Use a match-limit or date-range filter to request the latest direct meetings while preserving the full historical record separately.

Example Request

GET /v1/table-tennis/head-to-head
    ?player_a_id=player_tt_101
    &player_b_id=player_tt_204
    &limit=5
    &sort=desc
Tournament history

Compare Where Previous Meetings Took Place

Direct matchups can occur across different tournaments, stages and competition conditions.

Context Useful data
Tournament Event ID and name
Round Round of 64, Round of 32, quarterfinal, semifinal or final
Date Historical match date
Match format Best-of structure where available
Winner Stable player identifier of the winner
Set score Final match set result
Form comparison

Compare Current Form Beside Direct H2H History

Direct history describes previous meetings. Current form describes how each player has performed recently against all opponents.

Last 5 Matches

Compare each player’s recent supported results.

Last 10 Match Win %

Compare recent win rates using the same sample size.

Recent Set Differential

Compare sets won minus sets lost in recent matches.

Current Streak

Show current win or loss streak where supported.

Keep recent overall form separate from direct H2H so users understand which matches contribute to each statistic.
Ranking comparison

Compare Player Rankings Alongside H2H Data

Current Ranking

Latest supported ranking position for each player.

Ranking Points

Ranking points where included by the ranking source.

Ranking Difference

Difference between the players’ current positions.

Historical Ranking at Match Time

Compare ranking context at earlier meetings where historical ranking snapshots are available.

API request

Request Table Tennis Head-to-Head Data

Illustrative Endpoint

GET /v1/table-tennis/head-to-head

Example Query

GET /v1/table-tennis/head-to-head
    ?player_a_id=player_tt_101
    &player_b_id=player_tt_204
    &limit=10
    &sort=desc

Possible Filters

Parameter Example Purpose
player_a_id player_tt_101 First player in the comparison
player_b_id player_tt_204 Second player in the comparison
tournament_id tournament_211 Limit meetings to one tournament
date_from 2022-01-01 Start of the historical period
date_to 2026-08-07 End of the historical period
limit 10 Number of direct meetings returned
sort desc Return newest or oldest meetings first
Example JSON

Example Table Tennis Head-to-Head Response

{
  "data": {
    "player_a": {
      "id": "player_tt_101",
      "name": "Player A",
      "ranking": 8
    },
    "player_b": {
      "id": "player_tt_204",
      "name": "Player B",
      "ranking": 14
    },
    "filters": {
      "limit": 10,
      "tournament_id": null
    },
    "summary": {
      "meetings": 10,
      "player_a_wins": 6,
      "player_b_wins": 4,
      "player_a_sets_won": 24,
      "player_b_sets_won": 19,
      "latest_winner_id": "player_tt_101"
    },
    "recent_form": {
      "player_a": ["W", "W", "L", "W", "W"],
      "player_b": ["W", "L", "W", "L", "W"]
    },
    "meetings": [
      {
        "match_id": "match_tt_48291",
        "tournament_id": "tournament_211",
        "round": "quarterfinal",
        "played_at": "2026-07-21T13:00:00Z",
        "winner_id": "player_tt_101",
        "set_score": {
          "player_a": 4,
          "player_b": 2
        }
      }
    ],
    "updated_at": "2026-08-07T05:40:00Z"
  }
}

The response is illustrative. Production field names and statistics must match the final API documentation.

JavaScript

Retrieve H2H Data With JavaScript

const params = new URLSearchParams({
  player_a_id: 'player_tt_101',
  player_b_id: 'player_tt_204',
  limit: '10'
});

const response = await fetch(
  `/api/table-tennis/head-to-head?${params}`
);

if (!response.ok) {
  throw new Error(
    `H2H request failed: ${response.status}`
  );
}

const payload = await response.json();

console.log(payload.data.summary);
Python

Retrieve H2H Data With Python

import requests

response = requests.get(
    "https://api.example.com/v1/table-tennis/head-to-head",
    params={
        "player_a_id": "player_tt_101",
        "player_b_id": "player_tt_204",
        "limit": 10,
    },
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Accept": "application/json",
    },
    timeout=15,
)

response.raise_for_status()
h2h = response.json()
PHP

Retrieve H2H Data With PHP

<?php

$query = http_build_query([
    'player_a_id' => 'player_tt_101',
    'player_b_id' => 'player_tt_204',
    'limit' => 10,
]);

$url = 'https://api.example.com/v1/table-tennis/head-to-head?' . $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);
Prediction workflows

Use H2H Data as One Prediction Feature

Head-to-head can be useful for prediction models, but it should not be treated as the only signal.

Direct Win Rate

Use recent direct-match results where the sample is large enough.

Set Differential

Compare direct sets won minus sets lost.

Current Ranking

Combine direct history with current player-strength context.

Recent Form

Add performance against all recent opponents.

Tournament Context

Account for event type and stage where relevant.

Historical Ranking

Use rankings known before each historical meeting where available.

Historical H2H results do not guarantee a future outcome. Prediction systems should use leakage-safe features and output probabilities.
Data interpretation

Head-to-Head History Needs Context

A direct record can become misleading when old matches are treated the same as current ones.

Show the Match Count

A 100% record from one meeting is not equivalent to a large sample.

Show the Date Range

Tell users whether the record covers recent seasons or older history.

Show Tournament Context

Preserve where and when the meetings occurred.

Add Current Rankings

Player strength may have changed significantly since earlier meetings.

Add Recent Form

Current results can provide context not visible in direct history.

Preserve Match Status

Handle walkovers and retirements according to a documented policy.

Commercial use cases

What Can You Build With a Table Tennis H2H API?

Match Preview Pages

Show previous meetings, rankings, recent form and set history before a match.

Broadcaster Graphics

Display concise direct matchup records during live coverage.

Prediction Products

Use direct history as one feature alongside rankings and broader statistics.

Betting Analytics

Add historical matchup context beside separately licensed odds.

Player Comparison Tools

Build side-by-side pages combining H2H, rankings and performance.

Tournament Applications

Add historical matchup context to upcoming draw and bracket pages.

Production checklist

Table Tennis Head-to-Head Integration Checklist

  • Use stable player identifiers
  • Preserve tournament and match IDs
  • Show the number of meetings included
  • Show the historical date range
  • Preserve complete set history where available
  • Separate all-time H2H from recent H2H
  • Keep current form separate from direct history
  • Add ranking context where supported
  • Document treatment of walkovers and retirements
  • Confirm historical depth before publishing long-term records
Frequently asked questions

Table Tennis Head-to-Head API FAQs

What does a Table Tennis Head-to-Head API provide?

It can provide previous meetings, direct wins and losses, set history, tournament context, rankings and recent form.

Can I retrieve the latest meetings only?

A match-limit or date-range filter can return recent direct matches where supported.

Does the H2H API include set scores?

Set-by-set history can be included where detailed historical match coverage exists.

Can I filter H2H by tournament?

Tournament filtering may be supported through stable event identifiers.

Can I compare player rankings?

Current and historical ranking data can be added where ranking coverage is available.

Can H2H data be used for predictions?

Yes, as one input alongside rankings, current form and broader statistics.

How are walkovers handled?

Use the documented historical-data policy and avoid inventing unplayed set scores.

How far back does H2H history go?

Historical depth varies by tournament and player. Confirm the required period through the coverage reference.

Build richer player comparisons

Integrate Table Tennis Head-to-Head Data

Combine direct meetings, set history, tournament context, current rankings and recent form in one structured player comparison.

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