# How-to use the predictions API We have discussed how our prediction API works in-depth in our [**tutorial**](/v2/tutorials/odds-and-predictions.md)**.** In this how-to guide, we’ll show you how to implement the predictions of the Champions League group stage. \ \ Our prediction API is based on the latest machine learning techniques, which will give you the best predictions possible. We’ll only be discussing probabilities per match. For the value bet and player contribution models, you can refer to our [**prediction tutorial.** ](/v2/tutorials/odds-and-predictions.md) ## Step 1: Make our request First some general information about the Champions League: * League id: 2 * Current season id: 17299 * Current stage (Group stage) id: 77448760 * Current round id: 211704 At the time of writing, the Champions League is in its third round of the group stages. The dates are from **2020-11-03 to 2020-11-04** We use the following URL: {% tabs %} {% tab title="Request" %} ```javascript https://soccer.sportmonks.com/api/v2.0/fixtures/between/2020-11-03/2020-11-04?api_token={API_TOKEN}&include=localTeam,visitorTeam&leagues=2 ``` {% endtab %} {% tab title="Response" %} ```javascript "data": [ { "id": 17361016, "league_id": 2, "season_id": 17299, "stage_id": 77448760, "round_id": 211704, "group_id": 244365, "aggregate_id": null, "venue_id": 177923, "referee_id": 16994, "localteam_id": 490, "visitorteam_id": 7980, "winner_team_id": null, "weather_report": { "code": "clouds", "type": "overcast clouds", "icon": "https://cdn.sportmonks.com/images/weather/04n.png", "temperature": { "temp": 45.77, "unit": "fahrenheit" }, "temperature_celcius": { "temp": 7.7, "unit": "celcius" }, "clouds": "90%", "humidity": "100%", "pressure": 1026, "wind": { "speed": "8.95 m/s", "degree": 170 }, "coordinates": { "lat": 55.75, "lon": 37.62 }, "updated_at": "2020-11-03T19:45:07.664160Z" }, "commentaries": true, "attendance": 8147, "pitch": null, "details": null, "neutral_venue": false, "winning_odds_calculated": true, "formations": { "localteam_formation": "4-4-2", "visitorteam_formation": "4-3-2-1" }, "scores": { "localteam_score": 1, "visitorteam_score": 1, "localteam_pen_score": null, "visitorteam_pen_score": null, "ht_score": "1-1", "ft_score": "1-1", "et_score": null, "ps_score": null }, "time": { "status": "FT", "starting_at": { "date_time": "2020-11-03 17:55:00", "date": "2020-11-03", "time": "17:55:00", "timestamp": 1604426100, "timezone": "UTC" }, "minute": 94, "second": null, "added_time": null, "extra_minute": null, "injury_time": null }, "coaches": { "localteam_coach_id": 1068613, "visitorteam_coach_id": 452946 }, "standings": { "localteam_position": 4, "visitorteam_position": 2 }, "assistants": { "first_assistant_id": 12172, "second_assistant_id": 12128, "fourth_official_id": 15839 }, "leg": "1/1", "colors": { "localteam": { "color": "#F0F0F0", "kit_colors": "#F0F0F0,#F0F0F0,#F0F0F0,#F0F0F0,#C40010,#0046A8,#F0F0F0" }, "visitorteam": { "color": "#002B87", "kit_colors": "#002B87,#002B87,#002B87,#002B87,#C40010,#0046A8,#002B87" } }, "deleted": false, "localTeam": { "data": { "id": 490, "legacy_id": 501, "name": "Lokomotiv Moskva", "short_code": null, "twitter": null, "country_id": 227, "national_team": false, "founded": 1923, "logo_path": "https://cdn.sportmonks.com/images//soccer/teams/10/490.png", "venue_id": 177923, "current_season_id": 17288 } }, "visitorTeam": { "data": { "id": 7980, "legacy_id": 113, "name": "Atlético Madrid", "short_code": "ATM", "twitter": "@Atleti", "country_id": 32, "national_team": false, "founded": 1903, "logo_path": "https://cdn.sportmonks.com/images//soccer/teams/12/7980.png", "venue_id": 140808, "current_season_id": 17480 } } }, { "id": 17361028, "league_id": 2, "season_id": 17299, "stage_id": 77448760, "round_id": 211704, "group_id": 244366, "aggregate_id": null, "venue_id": 8829, "referee_id": 17308, "localteam_id": 621, "visitorteam_id": 683, "winner_team_id": 683, "weather_report": { "code": "clouds", "type": "overcast clouds", "icon": "https://cdn.sportmonks.com/images/weather/04n.png", "temperature": { "temp": 48.11, "unit": "fahrenheit" }, "temperature_celcius": { "temp": 9, "unit": "celcius" }, "clouds": "90%", "humidity": "87%", "pressure": 1025, "wind": { "speed": "6.71 m/s", "degree": 80 }, "coordinates": { "lat": 50, "lon": 36.25 }, "updated_at": "2020-11-03T19:30:32.966719Z" }, "commentaries": true, "attendance": null, "pitch": null, "details": null, "neutral_venue": false, "winning_odds_calculated": true, "formations": { "localteam_formation": "4-1-4-1", "visitorteam_formation": "4-2-3-1" }, "scores": { "localteam_score": 0, "visitorteam_score": 6, "localteam_pen_score": null, "visitorteam_pen_score": null, "ht_score": "0-4", "ft_score": "0-6", "et_score": null, "ps_score": null }, "time": { "status": "FT", "starting_at": { "date_time": "2020-11-03 17:55:00", "date": "2020-11-03", "time": "17:55:00", "timestamp": 1604426100, "timezone": "UTC" }, "minute": 93, "second": null, "added_time": null, "extra_minute": null, "injury_time": null }, "coaches": { "localteam_coach_id": 464141, "visitorteam_coach_id": 29710 }, "standings": { "localteam_position": 1, "visitorteam_position": 2 }, "assistants": { "first_assistant_id": 11658, "second_assistant_id": 12150, "fourth_official_id": 15834 }, "leg": "1/1", "colors": { "localteam": { "color": "#FC7E00", "kit_colors": "#D94B14,#FC7E00,#D94B14,#D94B14,#C40010,#0046A8,#0A0A0A" }, "visitorteam": { "color": "#F0F0F0", "kit_colors": "#F0F0F0,#F0F0F0,#F0F0F0,#F0F0F0,#0A0A0A,#FFDF1B,#F0F0F0" } }, "deleted": false, "localTeam": { "data": { "id": 621, "legacy_id": 137, "name": "Shakhtar Donetsk", "short_code": "SHK", "twitter": null, "country_id": 86, "national_team": false, "founded": 1936, "logo_path": "https://cdn.sportmonks.com/images//soccer/teams/13/621.png", "venue_id": 8829, "current_season_id": 17381 } }, "visitorTeam": { "data": { "id": 683, "legacy_id": 41, "name": "Borussia M'gladbach", "short_code": "BMG", "twitter": "@borussia", "country_id": 11, "national_team": false, "founded": 1900, "logo_path": "https://cdn.sportmonks.com/images//soccer/teams/11/683.png", "venue_id": 180, "current_season_id": 17361 ``` {% endtab %} {% endtabs %} This URL requests all the Champion League matches of the third round of the group stages.\ Now that you have an overview of all the Champion League fixture ids, we can start implementing our Prediction API. Remember the two endpoints? 1. [**Get next probabilities**](https://football-postman.sportmonks.com/#375a3b40-6cea-40f2-b69f-e03376f25644) 2. [**Get probabilities by fixture id**](https://football-postman.sportmonks.com/#298f1fbb-ed79-42d6-aa9d-b5aa5b015611) See our[ **tutorial**](/v2/tutorials/odds-and-predictions.md) again for a refresher, in case you forgot.\ \ You have multiple options. Including the options to either use the [**probabilities by fixture id endpoint** ](https://football-postman.sportmonks.com/#298f1fbb-ed79-42d6-aa9d-b5aa5b015611)or to use the[ **fixtures between dates endpoint** ](https://football-postman.sportmonks.com/#6c20f7f9-ee1c-4238-93bc-7c4715cf0cb6)with `probability` as include.\ \ We’ll analyze the following match between Real Madrid and Inter with fixture id #17361029. {% tabs %} {% tab title="Request 1" %} ```javascript https://soccer.sportmonks.com/api/v2.0/predictions/probabilities/fixture/17361029/?api_token={API_TOKEN} ``` {% endtab %} {% tab title="Request 2" %} ```javascript https://soccer.sportmonks.com/api/v2.0/fixtures/between/2020-11-03/2020-11-04?api_token={API_TOKEN}&include=localTeam,visitorTeam,probability&leagues=2 ``` {% endtab %} {% endtabs %} ## Step 2: The API response ```javascript "fixture_id": 17361029, "predictions": { "btts": 63.087, "over_2_5": 61.667, "under_2_5": 38.33, "over_3_5": 39.384, "under_3_5": 60.614, "HT_over_0_5": 82.125, "HT_under_0_5": 17.872, "HT_over_1_5": 51.346, "HT_under_1_5": 48.651, "AT_over_0_5": 76.818, "AT_under_0_5": 23.18, "AT_over_1_5": 42.932, "AT_under_1_5": 57.066, "home": 43.903, "away": 32.803, "draw": 23.29, "correct_score": { "0-0": 4.143, "0-1": 6.057, "0-2": 4.427, "0-3": 2.157, "0-4": 0.788, "0-5": 0.231, "0-6": 0.056, "0-7": 0.012, "0-8": 0.002, "1-0": 7.134, "1-1": 10.42, "1-2": 7.623, "1-3": 3.715, "1-4": 1.358, "1-5": 0.397, "1-6": 0.097, "1-7": 0.02, "1-8": 0.004, "1-9": 0.001, "2-0": 6.141, "2-1": 8.978, "2-2": 6.563, "2-3": 3.198, "2-4": 1.169, "2-5": 0.342, "2-6": 0.083, "2-7": 0.017, "2-8": 0.003, "2-9": 0.001, "3-0": 3.525, "3-1": 5.153, "3-2": 3.767, "3-3": 1.836, "3-4": 0.671, "3-5": 0.196, "3-6": 0.048, "3-7": 0.01, "3-8": 0.002, "4-0": 1.517, "4-1": 2.218, "4-2": 1.621, "4-3": 0.79, "4-4": 0.289, "4-5": 0.084, "4-6": 0.021, "4-7": 0.004, "4-8": 0.001, "5-0": 0.523, "5-1": 0.764, "5-2": 0.558, "5-3": 0.272, "5-4": 0.099, "5-5": 0.029, "5-6": 0.007, "5-7": 0.001, "6-0": 0.15, "6-1": 0.219, "6-2": 0.16, "6-3": 0.078, "6-4": 0.029, "6-5": 0.008, "6-6": 0.002, "7-0": 0.037, "7-1": 0.054, "7-2": 0.039, "7-3": 0.019, "7-4": 0.007, "7-5": 0.002, "7-6": 0.001, "8-0": 0.008, "8-1": 0.012, "8-2": 0.008, "8-3": 0.004, "8-4": 0.002, "9-0": 0.002, "9-1": 0.002, "9-2": 0.002, "9-3": 0.001 } } ``` #### Summary of the data: BTTS (Both teams to score) = 63.01%\ Over 2,5 goals scored = 61.67%\ Under 3,5 goals scored = 60.14%\ Home team (Real Madrid) over 0,5 goals scored = 82,13%\ Away team (Inter) over 0,5 goals scored = 76.82%\ Real Madrid win probability = 43.90%\ Inter win probability = 32.80%\ Draw probability = 23.29%\ A final score of 1-1 has the highest probability = 10.42%\ \ If you used the [**probabilities by fixture id endpoint,** ](https://documenter.getpostman.com/view/11949411/T1LPD6nj?version=latest#298f1fbb-ed79-42d6-aa9d-b5aa5b015611)you will have to repeat this step for all the other Champion League matches. But, if you used the `probability` include on one of our [**fixtures**](https://documenter.getpostman.com/view/11949411/T1LPD6nj?version=latest#b7f79045-eac3-40c5-b114-24c5b438f62c) or [**livescores**](https://documenter.getpostman.com/view/11949411/T1LPD6nj?version=latest#b850a1c2-9775-4828-8cce-3799532e06aa) endpoints, you won’t have to. {% hint style="info" %} Predictions are updated multiple times a day. Take this into account when you start implementing. {% endhint %} ## Step 3: Example Page Need some inspiration? The website below shows how you can display the various market predictions for one specific match. ![](/files/-MPEAwe8nadI-whL6xHa) ## Conclusion Our prediction API uses cutting-edge technology developed by Sportmonks’ very own data scientists and development team. If you’re interested in the technology behind our predictions, you can have a look at our [**prediction API blog.**](https://sportmonks.com/football-api/football-predictions/) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.sportmonks.com/v2/how-to-guides/odds-and-predictions/how-to-use-the-predictions-api.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.