# Includes > **📦 Add-on Required** > > Expected Goals (xG) data requires either the **xG Basic** or **xG Advanced** add-on. > > * **xG Basic Add-on:** Access to all xG statistics immediately after match completion (€19-€99 depending on your base plan) > * **xG Advanced Add-on:** Real-time xG statistics during live matches plus all post-match data (€199-€399 depending on your base plan) > > Available with all base plans (Starter, Growth, Pro, Enterprise).\ > [View pricing and add-ons →](https://www.sportmonks.com/football-api/plans-pricing) The "Includes" parameter allows you to specify additional information to be included in the API response. For xG values, we offer two primary includes: `xGFixture` and the nested include `lineups.xGLineup`. ### Expected by Team (xG by Team) #### Fixtures To retrieve the xG values by team for a fixture, we've introduced an include to use. You can use `xGFixture` on the Fixture entities, to retrieve the xG values for teams participating in a match. You can use this include as follows: {% tabs %} {% tab title="Request" %} ``` https://api.sportmonks.com/v3/football/fixtures/date/2024-03-03??include=xGFixture ``` {% endtab %} {% tab title="Response" %} ``` "expected": [ { "id": 27141258, "fixture_id": 18842545, "type_id": 5304, "participant_id": 9, "data": { "value": 3.6439 }, "location": "home" }, { "id": 27141259, "fixture_id": 18842545, "type_id": 5304, "participant_id": 14, "data": { "value": 0.3841 }, "location": "away" }, { "id": 27141260, "fixture_id": 18842545, "type_id": 5305, "participant_id": 9, "data": { "value": 4.4602 }, "location": "home" }, { "id": 27141261, "fixture_id": 18842545, "type_id": 5305, "participant_id": 14, "data": { "value": 0.2255 }, "location": "away" } ] } ``` {% endtab %} {% endtabs %} #### Seasons To retrieve the xG values by team for a season, we've implemented this to an existing include for you to use. You can use `statistics.details.type` on the [Teams](https://docs.sportmonks.com/v3/endpoints-and-entities/endpoints/teams) endpoints, to retrieve the xG values for teams participating in a season. You can use this include as follows: {% tabs %} {% tab title="Request" %} ``` https://api.sportmonks.com/v3/football/teams/19?include=statistics.details.type&filters=teamStatisticSeasons:23614 ``` {% endtab %} {% tab title="Response" %} ``` { "data": { "id": 19, "sport_id": 1, "country_id": 462, "venue_id": 204, "gender": "male", "name": "Arsenal", "short_code": "ARS", "image_path": "https://cdn.sportmonks.com/images/soccer/teams/19/19.png", "founded": 1886, "type": "domestic", "placeholder": false, "last_played_at": "2024-08-31 11:30:00", "statistics": [ { "id": 346678, "team_id": 19, "season_id": 23614, "has_values": true, "details": [ { "id": 4545753, "team_statistic_id": 346678, "type_id": 211, "value": { "rating": 8.13, "player_id": 16827155, "player_name": "Bukayo Saka" }, "type": { "id": 211, "name": "Highest Rated Player", "code": "highest-rated-player", "developer_name": "HIGHEST_RATED_PLAYER", "model_type": "statistic", "stat_group": null } }, { "id": 4545734, "team_statistic_id": 346678, "type_id": 5304, "value": { "expected": 3.8753, "actual": 5, "difference": 1.125 }, "type": { "id": 5304, "name": "Expected Goals (xG)", "code": "expected-goals", "developer_name": "EXPECTED_GOALS", "model_type": "statistic", "stat_group": "offensive" } }, ``` {% endtab %} {% endtabs %} {% hint style="info" %} Please note that not all season xG types are available yet. At the moment we only offer xG (type ID: 5304). {% endhint %} ### Expected by player (xG by Player) #### Fixtures To retrieve the xG values by player for a fixture, we've introduced a nested include to use. You can use `lineups.xGLineup` on the Fixture entities, to retrieve the xG values for players participating in a match. You can use this include as follows: {% tabs %} {% tab title="Request" %} ``` https://api.sportmonks.com/v3/football/fixtures/date/2024-03-03?include=lineups.xGLineup ``` {% endtab %} {% tab title="Response" %} ``` { "id": 8193384466, "sport_id": 1, "fixture_id": 18842545, "player_id": 154421, "team_id": 9, "position_id": 27, "formation_field": "5:1", "type_id": 11, "formation_position": 11, "player_name": "Erling Haaland", "jersey_number": 9, "expected": [ { "id": 1068406356, "fixture_id": 18842545, "player_id": 154421, "team_id": 9, "lineup_id": 8193384466, "type_id": 5304, "data": { "value": 1.1634 } }, { "id": 1068406358, "fixture_id": 18842545, "player_id": 154421, "team_id": 9, "lineup_id": 8193384466, "type_id": 5305, "data": { "value": 1.1634 } } ] ``` {% endtab %} {% endtabs %} #### Seasons We've added this to an existing include for you to use in order to access the xG values by player for a given season. To obtain the xG values for the teams taking part in a season, use the `statistics.details.type` include on the [Players](https://docs.sportmonks.com/v3/endpoints-and-entities/entities/team-player-squad-coach-and-referee#player) endpoints. This can be put to use for the following: {% tabs %} {% tab title="Request" %} ``` https://api.sportmonks.com/v3/football/players/26823?include=statistics.details.type&filters=teamStatisticSeasons:23614 ``` {% endtab %} {% tab title="Response" %} ``` { "data": { "id": 26823, "sport_id": 1, "country_id": 1578, "nationality_id": 1578, "city_id": null, "position_id": 26, "detailed_position_id": 150, "type_id": 26, "common_name": "M. Ødegaard", "firstname": "Martin", "lastname": "Ødegaard", "name": "Martin Ødegaard", "display_name": "M. Ødegaard", "image_path": "https://cdn.sportmonks.com/images/soccer/players/7/26823.png", "height": 178, "weight": 68, "date_of_birth": "1998-12-17", "gender": "male", "statistics": [ { "id": 1324089238, "player_id": 26823, "team_id": 19, "season_id": 23614, "has_values": true, "position_id": 26, "jersey_number": 8, "details": [ { "id": 37872088, "player_statistic_id": 1324089238, "type_id": 40, "value": { "total": 3 }, "type": { "id": 40, "name": "Captain", "code": "captain", "developer_name": "CAPTAIN", "model_type": "statistic", "stat_group": "overall" } }, { "id": 37872190, "player_statistic_id": 1324089238, "type_id": 5304, "value": { "expected": 0.46190000000000003, "actual": 0, "difference": -0.462 }, "type": { "id": 5304, "name": "Expected Goals (xG)", "code": "expected-goals", "developer_name": "EXPECTED_GOALS", "model_type": "statistic", "stat_group": "offensive" } }, ``` {% endtab %} {% endtabs %} {% hint style="info" %} Please note that not all season xG types are available yet. At the moment we only offer xG (type ID: 5304). {% endhint %} ### Expected Points Table (xPTS Table) To retrieve the xPTS table for a specific league, you can use an include that already exists and is widely used within our API. You can use the `details.type` include on any of the [Standings](https://docs.sportmonks.com/v3/endpoints-and-entities/endpoints/standings) endpoints. There you'll find the type ID 7393 for Expected Points (xPTS). Here's how you use that include: {% tabs %} {% tab title="Request" %} ``` https://api.sportmonks.com/v3/football/standings/seasons/23614?include=details.type ``` {% endtab %} {% tab title="Response" %} ``` { "data": [ { "id": 229327, "participant_id": 9, "sport_id": 1, "league_id": 8, "season_id": 23614, "stage_id": 77471288, "group_id": null, "round_id": 339237, "standing_rule_id": 117804, "position": 1, "result": "equal", "points": 9, "details": [ { "id": 3131200680, "standing_type": "standing", "standing_id": 229327, "type_id": 146, "value": 1, "type": { "id": 146, "name": "Away Goals Conceded", "code": "away-conceded", "developer_name": "AWAY_CONCEDED", "model_type": "standings", "stat_group": "away" } }, { "id": 3131200681, "standing_type": "standing", "standing_id": 229327, "type_id": 179, "value": 7, "type": { "id": 179, "name": "Goal Difference", "code": "goal-difference", "developer_name": "OVERALL_GOAL_DIFFERENCE", "model_type": "standings", "stat_group": null } { "id": 3432092037, "standing_type": "standing", "standing_id": 229327, "type_id": 7939, "value": 6, "type": { "id": 7939, "name": "Expected Points (xPTS)", "code": "expected-points", "developer_name": "EXPECTED_POINTS", "model_type": "statistic", "stat_group": "offensive" } } ] }, ``` {% endtab %} {% endtabs %} {% hint style="info" %} If you've got any questions or comments about using these includes, feel free to reach out to us at . {% endhint %}