Hi Guys, I’m interest in your paid API though have some questions regarding the data.
Can you post a link in your reply, or add to your RapidAPI profile, a CVS or XLS of sample data that you get with your API?
Before spending $ into having my Development team implement the API to see ‘what’s under the hood’, it would help alot to see the sample data so I can analyze if your data is a ‘fit’ for my needs, and other use-cases for your data.
Thank you,
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Hi guys, I took your advise and produced the following sample output.
I could not determine what field defines the prediction selection? (see below) Please advise
Secondly, is different bet types covered too, or is this all straight up?
rray
(
[0] => Array
(
[match_id] => 2532416
[match_dat] => 1639721100
[league_name] => Australia Women W-League
[country_name] => Australia
[home_team_name] => WS Wanderers (W)
[away_team_name] => Newcastle Jets (W)
[rank_htw_ft] => 0.314
[rank_drw_ft] => 0.218
[rank_atw_ft] => 0.468
[rank_hhc_p15_ft] => 0.733
[rank_ahc_p15_ft] => 0.844
[rank_to_05_ft] => 0.952
[rank_to_15_ft] => 0.814
[rank_to_25_ft] => 0.619
[rank_to_35_ft] => 0.416
[rank_btts_ft] => 0.604
[rank_ho_05_ft] => 0.738
[rank_ho_15_ft] => 0.398
[rank_ao_05_ft] => 0.818
[rank_ao_15_ft] => 0.527
[rank_htw_ht] => 0.277
[rank_drw_ht] => 0.391
[rank_atw_ht] => 0.333
[rank_to_05_ht] => 0.734
[rank_to_15_ht] => 0.388
[rank_to_25_ht] => 0.163
[rank_btts_ht] => 0.233
[rank_ho_05_ht] => 0.46
[rank_ho_15_ht] => 0.133
[rank_ao_05_ht] => 0.508
[rank_ao_15_ht] => 0.166
Hi @Kael21!
You can subscribe our free plan and hit our “/sample” endpoint to get a sample. It will return a limited list of the predictions from previous day.
Let us know if that suits your needs or what can we do to help
Thanks