How-to use the predictions API
We have discussed how our prediction API works in-depth in our tutorial. 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. ​
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:
Request
Response
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https://soccer.sportmonks.com/api/v2.0/fixtures/between/2020-11-03/2020-11-04?api_token={API_TOKEN}&include=localTeam,visitorTeam&leagues=2
Copied!
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"data": [
2
{
3
"id": 17361016,
4
"league_id": 2,
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"season_id": 17299,
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"stage_id": 77448760,
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"round_id": 211704,
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"group_id": 244365,
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"aggregate_id": null,
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"venue_id": 177923,
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"referee_id": 16994,
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"localteam_id": 490,
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"visitorteam_id": 7980,
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"winner_team_id": null,
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"weather_report": {
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"code": "clouds",
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"type": "overcast clouds",
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"icon": "https://cdn.sportmonks.com/images/weather/04n.png",
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"temperature": {
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"temp": 45.77,
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"unit": "fahrenheit"
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},
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"temperature_celcius": {
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"temp": 7.7,
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"unit": "celcius"
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},
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"clouds": "90%",
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"humidity": "100%",
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"pressure": 1026,
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"wind": {
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"speed": "8.95 m/s",
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"degree": 170
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},
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"coordinates": {
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"lat": 55.75,
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"lon": 37.62
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},
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"updated_at": "2020-11-03T19:45:07.664160Z"
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},
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"commentaries": true,
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"attendance": 8147,
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"pitch": null,
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"details": null,
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"neutral_venue": false,
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"winning_odds_calculated": true,
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"formations": {
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"localteam_formation": "4-4-2",
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"visitorteam_formation": "4-3-2-1"
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},
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"scores": {
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"localteam_score": 1,
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"visitorteam_score": 1,
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"localteam_pen_score": null,
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"visitorteam_pen_score": null,
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"ht_score": "1-1",
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"ft_score": "1-1",
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"et_score": null,
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"ps_score": null
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},
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"time": {
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"status": "FT",
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"starting_at": {
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"date_time": "2020-11-03 17:55:00",
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"date": "2020-11-03",
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"time": "17:55:00",
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"timestamp": 1604426100,
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"timezone": "UTC"
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},
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"minute": 94,
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"second": null,
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"added_time": null,
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"extra_minute": null,
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"injury_time": null
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},
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"coaches": {
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"localteam_coach_id": 1068613,
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"visitorteam_coach_id": 452946
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},
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"standings": {
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"localteam_position": 4,
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"visitorteam_position": 2
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},
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"assistants": {
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"first_assistant_id": 12172,
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"second_assistant_id": 12128,
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"fourth_official_id": 15839
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},
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"leg": "1/1",
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"colors": {
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"localteam": {
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"color": "#F0F0F0",
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"kit_colors": "#F0F0F0,#F0F0F0,#F0F0F0,#F0F0F0,#C40010,#0046A8,#F0F0F0"
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},
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"visitorteam": {
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"color": "#002B87",
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"kit_colors": "#002B87,#002B87,#002B87,#002B87,#C40010,#0046A8,#002B87"
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}
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},
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"deleted": false,
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"localTeam": {
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"data": {
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"id": 490,
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"legacy_id": 501,
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"name": "Lokomotiv Moskva",
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"short_code": null,
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"twitter": null,
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"country_id": 227,
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"national_team": false,
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"founded": 1923,
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"logo_path": "https://cdn.sportmonks.com/images//soccer/teams/10/490.png",
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"venue_id": 177923,
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"current_season_id": 17288
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}
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},
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"visitorTeam": {
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"data": {
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"id": 7980,
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"legacy_id": 113,
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"name": "Atlético Madrid",
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"short_code": "ATM",
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"twitter": "@Atleti",
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"country_id": 32,
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"national_team": false,
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"founded": 1903,
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"logo_path": "https://cdn.sportmonks.com/images//soccer/teams/12/7980.png",
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"venue_id": 140808,
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"current_season_id": 17480
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}
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}
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},
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{
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"id": 17361028,
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"league_id": 2,
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"season_id": 17299,
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"stage_id": 77448760,
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"round_id": 211704,
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"group_id": 244366,
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"aggregate_id": null,
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"venue_id": 8829,
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"referee_id": 17308,
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"localteam_id": 621,
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"visitorteam_id": 683,
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"winner_team_id": 683,
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"weather_report": {
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"code": "clouds",
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"type": "overcast clouds",
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"icon": "https://cdn.sportmonks.com/images/weather/04n.png",
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"temperature": {
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"temp": 48.11,
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"unit": "fahrenheit"
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},
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"temperature_celcius": {
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"temp": 9,
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"unit": "celcius"
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},
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"clouds": "90%",
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"humidity": "87%",
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"pressure": 1025,
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"wind": {
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"speed": "6.71 m/s",
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"degree": 80
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},
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"coordinates": {
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"lat": 50,
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"lon": 36.25
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},
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"updated_at": "2020-11-03T19:30:32.966719Z"
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},
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"commentaries": true,
170
"attendance": null,
171
"pitch": null,
172
"details": null,
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"neutral_venue": false,
174
"winning_odds_calculated": true,
175
"formations": {
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"localteam_formation": "4-1-4-1",
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"visitorteam_formation": "4-2-3-1"
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},
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"scores": {
180
"localteam_score": 0,
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"visitorteam_score": 6,
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"localteam_pen_score": null,
183
"visitorteam_pen_score": null,
184
"ht_score": "0-4",
185
"ft_score": "0-6",
186
"et_score": null,
187
"ps_score": null
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},
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"time": {
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"status": "FT",
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"starting_at": {
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"date_time": "2020-11-03 17:55:00",
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"date": "2020-11-03",
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"time": "17:55:00",
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"timestamp": 1604426100,
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"timezone": "UTC"
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},
198
"minute": 93,
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"second": null,
200
"added_time": null,
201
"extra_minute": null,
202
"injury_time": null
203
},
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"coaches": {
205
"localteam_coach_id": 464141,
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"visitorteam_coach_id": 29710
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},
208
"standings": {
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"localteam_position": 1,
210
"visitorteam_position": 2
211
},
212
"assistants": {
213
"first_assistant_id": 11658,
214
"second_assistant_id": 12150,
215
"fourth_official_id": 15834
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},
217
"leg": "1/1",
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"colors": {
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"localteam": {
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"color": "#FC7E00",
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"kit_colors": "#D94B14,#FC7E00,#D94B14,#D94B14,#C40010,#0046A8,#0A0A0A"
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},
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"visitorteam": {
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"color": "#F0F0F0",
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"kit_colors": "#F0F0F0,#F0F0F0,#F0F0F0,#F0F0F0,#0A0A0A,#FFDF1B,#F0F0F0"
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}
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},
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"deleted": false,
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"localTeam": {
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"data": {
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"id": 621,
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"legacy_id": 137,
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"name": "Shakhtar Donetsk",
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"short_code": "SHK",
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"twitter": null,
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"country_id": 86,
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"national_team": false,
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"founded": 1936,
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"logo_path": "https://cdn.sportmonks.com/images//soccer/teams/13/621.png",
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"venue_id": 8829,
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"current_season_id": 17381
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}
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},
244
"visitorTeam": {
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"data": {
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"id": 683,
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"legacy_id": 41,
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"name": "Borussia M'gladbach",
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"short_code": "BMG",
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"twitter": "@borussia",
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"country_id": 11,
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"national_team": false,
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"founded": 1900,
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"logo_path": "https://cdn.sportmonks.com/images//soccer/teams/11/683.png",
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"venue_id": 180,
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"current_season_id": 17361
Copied!
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.
- 2.
See our tutorial again for a refresher, in case you forgot.
You have multiple options. Including the options to either use the probabilities by fixture id endpoint or to use the fixtures between dates endpoint with
probability as include.
We’ll analyze the following match between Real Madrid and Inter with fixture id #17361029. Request 1
Request 2
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https://soccer.sportmonks.com/api/v2.0/predictions/probabilities/fixture/17361029/?api_token={API_TOKEN}
Copied!
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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
Copied!
Step 2: The API response
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"fixture_id": 17361029,
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"predictions": {
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"btts": 63.087,
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"over_2_5": 61.667,
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"under_2_5": 38.33,
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"over_3_5": 39.384,
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"under_3_5": 60.614,
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"HT_over_0_5": 82.125,
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"HT_under_0_5": 17.872,
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"HT_over_1_5": 51.346,
11
"HT_under_1_5": 48.651,
12
"AT_over_0_5": 76.818,
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"AT_under_0_5": 23.18,
14
"AT_over_1_5": 42.932,
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"AT_under_1_5": 57.066,
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"home": 43.903,
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"away": 32.803,
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"draw": 23.29,
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"correct_score": {
20
"0-0": 4.143,
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"0-1": 6.057,
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"0-2": 4.427,
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"0-3": 2.157,
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"0-4": 0.788,
25
"0-5": 0.231,
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"0-6": 0.056,
27
"0-7": 0.012,
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"0-8": 0.002,
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"1-0": 7.134,
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"1-1": 10.42,
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"1-2": 7.623,
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"1-3": 3.715,
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"1-4": 1.358,
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"1-5": 0.397,
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"1-6": 0.097,
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"1-7": 0.02,
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"1-8": 0.004,
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"1-9": 0.001,
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"2-0": 6.141,
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"2-1": 8.978,
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"2-2": 6.563,
42
"2-3": 3.198,
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"2-4": 1.169,
44
"2-5": 0.342,
45
"2-6": 0.083,
46
"2-7": 0.017,
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"2-8": 0.003,
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"2-9": 0.001,
49
"3-0": 3.525,
50
"3-1": 5.153,
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"3-2": 3.767,
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"3-3": 1.836,
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"3-4": 0.671,
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"3-5": 0.196,
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"3-6": 0.048,
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"3-7": 0.01,
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"3-8": 0.002,
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"4-0": 1.517,
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"4-1": 2.218,
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"4-2": 1.621,
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"4-3": 0.79,
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"4-4": 0.289,
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"4-5": 0.084,
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"4-6": 0.021,
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"4-7": 0.004,
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"4-8": 0.001,
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"5-0": 0.523,
68
"5-1": 0.764,
69
"5-2": 0.558,
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"5-3": 0.272,
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"5-4": 0.099,
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"5-5": 0.029,
73
"5-6": 0.007,
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"5-7": 0.001,
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"6-0": 0.15,
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"6-1": 0.219,
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"6-2": 0.16,
78
"6-3": 0.078,
79
"6-4": 0.029,
80
"6-5": 0.008,
81
"6-6": 0.002,
82
"7-0": 0.037,
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"7-1": 0.054,
84
"7-2": 0.039,
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"7-3": 0.019,
86
"7-4": 0.007,
87
"7-5": 0.002,
88
"7-6": 0.001,
89
"8-0": 0.008,
90
"8-1": 0.012,
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"8-2": 0.008,
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"8-3": 0.004,
93
"8-4": 0.002,
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"9-0": 0.002,
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"9-1": 0.002,
96
"9-2": 0.002,
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"9-3": 0.001
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}
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}
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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, 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 or livescores endpoints, you won’t have to.Predictions are updated multiple times a day. Take this into account when you start implementing.
Step 3: Example Page
Need some inspiration? The website below shows how you can display the various market predictions for one specific match.
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.
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