Datasets:

illustricious
/

Indonesian-High-School-Basketball-Complete-Stats

match_id int32 1 11.6k ⌀	match_time timestamp[us]date 2019-07-26 14:00:00 2026-06-14 18:00:00 ⌀	venue_id int32 1 58 ⌀	category stringclasses 6 values	school_id_a int32 12 67.3k ⌀	school_id_b int32 12 67.3k ⌀	score_a int16 0 127 ⌀	score_b int16 0 125 ⌀	q1_a int16 0 49 ⌀	q1_b int16 0 51 ⌀	q2_a int16 0 40 ⌀	q2_b int16 0 39 ⌀	q3_a int16 0 39 ⌀	q3_b int16 0 41 ⌀	q4_a int16 0 37 ⌀	q4_b int16 0 42 ⌀	ot_a int16 0 17 ⌀	ot_b int16 0 24 ⌀	fg_made_a int16 0 60 ⌀	fg_made_b int16 0 59 ⌀	fg_att_a int16 0 135 ⌀	fg_att_b int16 0 167 ⌀	fg_pct_a float32 0 100 ⌀	fg_pct_b float32 0 100 ⌀	fg2_made_a int16 0 60 ⌀	fg2_made_b int16 0 57 ⌀	fg2_att_a int16 0 115 ⌀	fg2_att_b int16 0 143 ⌀	fg2_pct_a float32 0 100 ⌀	fg2_pct_b float32 0 100 ⌀	fg3_made_a int16 0 21 ⌀	fg3_made_b int16 0 25 ⌀	fg3_att_a int16 0 50 ⌀	fg3_att_b int16 0 45 ⌀	fg3_pct_a float32 0 100 ⌀	fg3_pct_b float32 0 100 ⌀	ft_made_a int16 0 29 ⌀	ft_made_b int16 0 27 ⌀	ft_att_a int16 0 60 ⌀	ft_att_b int16 0 165 ⌀	ft_pct_a float32 0 100 ⌀	ft_pct_b float32 0 100 ⌀	reb_off_a int16 0 52 ⌀	reb_off_b int16 0 63 ⌀	reb_def_a int16 0 56 ⌀	reb_def_b int16 0 68 ⌀	assists_a int16 0 47 ⌀	assists_b int16 0 50 ⌀	steals_a int16 0 57 ⌀	steals_b int16 0 59 ⌀	blocks_a int16 0 27 ⌀	blocks_b int16 0 19 ⌀	turnovers_a int16 0 78 ⌀	turnovers_b int16 0 85 ⌀	fouls_a int16 0 38 ⌀	fouls_b int16 0 39 ⌀	points_off_turnover_a int16 0 95 ⌀	points_off_turnover_b int16 0 88 ⌀
9,854	2025-09-21T13:20:00	1	3x3 Boys	29,128	67,008	3	5	3	5	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6,621	2024-09-20T16:00:00	2	Boys	10,476	13,141	11	70	6	11	2	17	3	17	0	25	null	null	3	32	36	71	8.3	45.099998	2	27	24	58	8.3	46.599998	1	5	12	13	8.3	38.5	4	1	5	7	80	14.3	8	17	18	20	2	22	6	23	3	4	32	9	1	1	4	33
1,484	2019-10-19T09:40:00	3	Boys	66,972	18,922	27	20	6	6	0	1	4	6	17	7	null	null	12	7	44	26	27.299999	26.9	12	6	42	24	28.6	25	0	1	2	2	0	50	3	5	14	8	21.4	62.5	9	5	7	11	2	1	7	4	0	1	13	11	0	0	3	5
5,765	2024-01-27T13:30:00	4	Boys	16,761	51,110	23	25	6	9	7	5	3	4	7	7	null	null	7	10	32	24	21.9	41.700001	3	10	17	19	17.6	52.599998	4	0	15	5	26.700001	0	5	5	18	20	27.799999	25	8	4	9	19	2	3	11	11	0	0	17	23	12	21	10	10
5,100	2023-10-15T14:30:00	5	3x3 Girls	1,155	1,109	1	13	1	13	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6,947	2024-10-05T10:30:00	6	Boys	1,631	1,585	25	19	8	0	6	7	9	3	2	9	null	null	10	8	41	40	24.4	20	9	8	30	38	30	21.1	1	0	11	2	9.1	0	4	3	17	11	23.5	27.299999	9	13	18	21	8	3	14	10	6	6	19	25	0	0	15	7
7,558	2024-11-04T13:45:00	7	Girls	10,095	10,097	12	41	0	17	1	4	7	8	4	12	null	null	5	18	34	57	14.7	31.6	4	17	28	48	14.3	35.400002	1	1	6	9	16.700001	11.1	1	4	8	8	12.5	50	8	15	20	19	3	12	17	20	0	3	34	22	2	1	4	21
6,253	2024-08-19T15:30:00	8	Boys	66,972	20,010	17	15	6	3	5	3	0	2	6	7	null	null	7	4	21	16	33.299999	25	7	3	19	11	36.799999	27.299999	0	1	2	5	0	20	1	6	15	16	6.7	37.5	11	6	6	4	1	3	9	9	0	0	18	18	2	0	13	13
4,009	2023-02-14T16:00:00	9	Boys	21,910	21,924	77	51	15	9	18	13	16	18	28	11	null	null	27	22	62	63	43.5	34.900002	25	21	46	53	54.299999	39.599998	2	1	16	10	12.5	10	21	6	40	28	52.5	21.4	11	14	26	26	10	9	12	14	0	1	22	30	30	21	25	12
5,138	2023-10-22T15:50:00	10	3x3 Girls	39,605	39,606	4	2	4	2	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2,099	2021-10-23T18:15:00	11	Boys	646	1,615	71	43	27	10	22	8	7	10	15	15	null	null	25	11	54	75	46.299999	14.7	20	9	35	51	57.099998	17.6	5	2	19	24	26.299999	8.3	16	19	25	36	64	52.799999	9	21	40	22	15	4	13	17	2	6	31	19	26	21	26	20
9,102	2025-09-05T14:00:00	11	Boys	43	45	24	23	2	8	9	12	7	0	6	3	null	null	11	10	44	34	25	29.4	10	10	39	29	25.6	34.5	1	0	5	5	20	0	1	3	5	12	20	25	13	11	13	16	7	8	12	9	2	6	19	26	1	0	12	10
6,524	2024-09-18T15:00:00	1	Boys	29,137	67,000	21	63	10	22	2	13	4	8	5	20	null	null	7	26	29	53	24.1	49.099998	5	23	16	43	31.299999	53.5	2	3	13	10	15.4	30	5	8	8	16	62.5	50	3	14	14	13	4	11	4	13	0	3	23	10	0	0	2	25
9,474	2025-09-16T10:00:00	12	3x3 Boys	2,105	64,187	6	3	6	3	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
8,723	2025-08-18T19:00:00	13	Boys	646	647	56	13	18	4	11	4	14	3	13	2	null	null	23	4	37	27	62.200001	14.8	21	3	28	16	75	18.799999	2	1	9	11	22.200001	9.1	8	4	14	6	57.099998	66.699997	4	4	13	9	17	4	12	5	3	1	8	17	0	0	28	2
3,265	2022-09-23T18:30:00	11	Boys	23	66,983	52	75	13	18	9	20	13	19	17	18	null	null	18	32	73	67	24.700001	47.799999	11	31	47	61	23.4	50.799999	7	1	26	6	26.9	16.700001	9	10	13	28	69.199997	35.700001	15	13	28	32	11	27	15	21	6	4	30	22	24	17	10	25
2,817	2022-08-21T10:00:00	8	Boys	20,007	47,328	35	9	5	1	14	2	6	6	10	0	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
4,209	2023-07-28T18:30:00	2	Girls	13,215	67,080	15	22	4	6	4	8	2	2	5	6	null	null	4	6	38	19	10.5	31.6	4	6	37	19	10.8	31.6	0	0	1	0	0	0	7	10	17	25	41.200001	40	16	7	8	18	4	7	13	9	1	3	14	19	17	11	4	13
6,919	2024-10-01T13:30:00	2	Boys	67,027	13,598	73	45	19	13	23	16	14	5	17	11	null	null	30	16	94	59	31.9	27.1	25	15	72	52	34.700001	28.799999	5	1	22	7	22.700001	14.3	8	12	15	27	53.299999	44.400002	21	16	25	36	16	12	21	4	9	7	8	34	0	0	30	4
7,638	2024-11-12T14:00:00	14	Girls	54,003	54,018	32	64	8	18	16	17	4	20	4	9	null	null	14	26	47	78	29.799999	33.299999	14	26	45	74	31.1	35.099998	0	0	2	4	0	0	4	12	12	27	33.299999	44.400002	10	28	20	18	2	11	10	31	2	3	47	30	0	1	11	41
11,400	2026-02-05T11:00:00	15	3x3 Girls	34,648	34,646	5	3	5	3	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6,843	2024-09-29T14:30:00	16	Boys	60,272	60,367	22	33	2	14	6	4	8	8	6	7	null	null	8	14	41	34	19.5	41.200001	6	14	36	32	16.700001	43.799999	2	0	5	2	40	0	4	5	15	11	26.700001	45.5	14	10	10	18	5	8	11	11	2	8	15	19	0	0	12	9
5,320	2023-11-06T19:30:00	7	Girls	10,090	10,126	3	54	1	13	0	5	0	16	2	20	null	null	1	24	14	50	7.1	48	1	23	10	46	10	50	0	1	4	4	0	25	1	5	7	20	14.3	25	1	17	11	6	0	14	8	25	2	1	39	12	16	11	0	33
8,244	2025-02-21T14:15:00	17	3x3 Boys	43,940	44,118	6	5	6	5	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4,874	2023-09-23T14:20:00	16	Boys	60,308	62,373	54	14	15	0	8	3	14	2	17	9	null	null	25	5	61	17	41	29.4	23	5	47	15	48.900002	33.299999	2	0	14	2	14.3	0	2	4	7	13	28.6	30.799999	21	4	10	14	10	2	19	3	4	2	7	29	14	5	36	3
10,155	2025-10-05T09:45:00	2	3x3 Boys	13,215	13,196	3	5	3	5	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11,163	2026-01-28T17:00:00	18	Boys	38,231	38,232	18	13	5	2	4	5	1	3	8	3	null	null	5	3	29	22	17.200001	13.6	3	2	15	15	20	13.3	2	1	14	7	14.3	14.3	6	6	10	18	60	33.299999	8	8	12	15	0	1	3	6	2	2	9	15	0	0	3	0
655	2019-08-25T14:10:00	16	Girls	62,036	62,067	8	51	1	18	0	8	2	10	5	15	null	null	3	23	31	62	9.7	37.099998	3	22	26	56	11.5	39.299999	0	1	5	6	0	16.700001	2	5	9	13	22.200001	38.5	0	13	5	6	0	8	1	11	0	0	23	15	0	0	0	22
10,177	2025-10-09T19:00:00	5	Boys	1,163	1,103	17	21	7	5	5	5	0	10	5	1	null	null	4	8	29	34	13.8	23.5	3	7	22	30	13.6	23.299999	1	1	7	4	14.3	25	8	4	15	12	53.299999	33.299999	6	13	13	16	6	4	8	7	4	7	16	18	0	1	6	8
10,633	2025-10-26T18:45:00	7	Boys	58,986	10,090	63	26	13	3	10	4	23	7	17	12	null	null	29	10	70	36	41.400002	27.799999	29	9	61	23	47.5	39.099998	0	1	9	13	0	7.7	5	5	14	18	35.700001	27.799999	22	4	21	17	11	5	18	10	2	3	15	26	0	1	24	13
6,285	2024-08-21T15:00:00	19	Girls	17,454	17,493	9	49	0	10	1	16	2	9	6	14	null	null	4	24	17	46	23.5	52.200001	4	24	16	43	25	55.799999	0	0	1	3	0	0	1	1	7	10	14.3	10	6	14	9	7	3	7	10	23	0	0	34	14	1	1	4	33
7,920	2025-01-23T11:00:00	20	3x3 Girls	31,322	31,332	2	5	2	5	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
11,052	2026-01-23T15:30:00	21	Boys	23,571	23,573	30	48	7	16	8	7	2	11	13	14	null	null	11	21	32	52	34.400002	40.400002	10	20	29	46	34.5	43.5	1	1	3	6	33.299999	16.700001	7	5	14	16	50	31.299999	16	16	19	7	2	5	6	15	2	1	25	10	1	0	2	29
6,799	2024-09-24T12:00:00	16	3x3 Boys	60,294	60,308	5	7	5	7	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3,600	2022-11-08T16:30:00	7	Girls	10,130	67,004	2	99	0	33	0	30	2	14	0	22	null	null	1	48	15	82	6.7	58.5	1	47	15	68	6.7	69.099998	0	1	0	14	0	7.1	0	2	2	5	0	40	5	20	12	9	0	28	2	52	0	3	58	7	6	3	0	83
2,945	2022-08-27T12:00:00	22	Boys	44,788	44,768	25	30	7	8	4	10	6	4	8	8	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null	null
7,822	2024-12-16T14:30:00	23	Boys	67,060	36,056	35	24	10	5	10	6	6	5	9	8	null	null	14	10	48	30	29.200001	33.299999	14	9	38	22	36.799999	40.900002	0	1	10	8	0	12.5	7	3	10	10	70	30	11	4	15	21	8	5	12	4	0	1	9	19	1	2	19	4
7,178	2024-10-19T14:45:00	24	Boys	48,690	48,696	45	11	8	1	6	4	12	0	19	6	null	null	22	4	46	21	47.799999	19	21	4	41	19	51.200001	21.1	1	0	5	2	20	0	0	3	7	15	0	20	7	5	8	10	5	1	22	10	1	1	16	32	1	0	27	4
1,542	2019-10-26T12:10:00	24	Boys	48,683	48,781	19	12	4	0	2	5	6	3	7	4	null	null	6	3	31	15	19.4	20	6	3	26	14	23.1	21.4	0	0	5	1	0	0	7	6	20	8	35	75	8	6	4	10	0	1	13	5	0	0	20	26	0	0	10	5
1,835	2020-01-26T10:00:00	2	Girls	67,023	67,026	15	27	2	6	4	6	6	6	3	9	null	null	7	12	22	41	31.799999	29.299999	7	12	22	40	31.799999	30	0	0	0	1	0	0	1	3	13	9	7.7	33.299999	8	10	16	7	5	7	9	20	1	1	26	14	0	0	7	18
6,670	2024-09-21T10:00:00	25	3x3 Girls	55,745	11,982	13	1	13	1	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
9,932	2025-09-23T16:15:00	26	Boys	43,601	66,927	22	63	4	18	3	13	2	14	13	18	null	null	9	29	25	51	36	56.900002	8	27	15	39	53.299999	69.199997	1	2	10	12	10	16.700001	3	3	10	4	30	75	3	12	9	15	5	18	6	15	0	2	30	17	0	0	8	38
749	2019-08-27T19:50:00	27	Boys	26,456	26,369	29	19	5	3	5	8	11	3	8	5	null	null	12	8	38	33	31.6	24.200001	12	7	30	19	40	36.799999	0	1	8	14	0	7.1	6	1	13	4	46.200001	25	7	9	13	11	8	5	7	3	1	2	13	20	0	1	14	3
8,769	2025-08-20T15:00:00	19	Boys	17,717	17,455	28	34	12	8	4	3	4	8	8	15	null	null	12	9	20	24	60	37.5	11	9	16	22	68.800003	40.900002	1	0	4	2	25	0	3	16	10	37	30	43.200001	3	13	10	8	4	5	7	6	0	0	15	13	1	0	15	14
1,676	2019-11-05T15:15:00	21	Girls	23,378	23,573	33	2	8	0	10	2	10	0	5	0	null	null	15	1	50	8	30	12.5	14	1	44	5	31.799999	20	1	0	6	3	16.700001	0	2	0	4	2	50	0	18	0	4	6	6	1	11	0	0	0	1	11	0	0	16	0
6,031	2024-08-27T17:00:00	2	Girls	13,215	13,253	50	6	19	0	6	1	12	2	13	3	null	null	24	1	57	22	42.099998	4.5	24	1	55	22	43.599998	4.5	0	0	2	0	0	0	2	4	7	8	28.6	50	18	6	12	13	21	2	31	8	2	1	15	37	2	0	31	3
1,109	2019-09-21T15:30:00	5	Boys	1,236	1,099	16	96	4	21	4	26	2	21	6	28	null	null	8	41	46	82	17.4	50	8	32	35	56	22.9	57.099998	0	9	11	26	0	34.599998	0	5	4	9	0	55.599998	7	24	12	25	1	15	3	14	0	1	26	12	0	0	4	39
9,373	2025-09-20T14:30:00	2	Girls	66,929	10,475	45	7	13	3	7	0	13	0	12	4	null	null	19	2	55	9	34.5	22.200001	16	0	47	3	34	0	3	2	8	6	37.5	33.299999	4	1	8	10	50	10	18	1	7	12	15	2	16	5	1	1	9	31	0	0	30	3
1,566	2019-10-23T16:55:00	3	Boys	20,006	20,007	11	34	1	12	1	7	4	5	5	10	null	null	3	13	16	34	18.799999	38.200001	3	12	13	30	23.1	40	0	1	3	4	0	25	5	7	6	13	83.300003	53.799999	1	5	5	3	0	3	2	4	1	1	7	5	0	0	3	17
838	2019-09-01T18:45:00	28	Boys	59,753	59,752	43	23	15	6	7	5	14	6	7	6	null	null	18	14	54	48	33.299999	29.200001	16	10	45	36	35.599998	27.799999	2	4	9	12	22.200001	33.299999	5	4	12	14	41.700001	28.6	8	8	16	23	4	4	14	1	2	1	7	14	0	1	21	0
7,776	2024-12-13T15:30:00	23	Boys	36,790	32,973	36	34	5	11	10	11	8	7	13	5	null	null	17	15	44	39	38.599998	38.5	17	15	31	34	54.799999	44.099998	0	0	13	5	0	0	2	4	21	14	9.5	28.6	11	11	16	18	5	10	23	22	1	2	26	35	0	2	18	14
6,896	2024-09-29T10:30:00	29	3x3 Girls	59,686	9,722	2	3	2	3	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
2,201	2021-11-13T12:00:00	30	Girls	3,836	7,887	21	48	4	13	4	9	7	16	6	10	null	null	7	20	33	63	21.200001	31.700001	7	17	28	52	25	32.700001	0	3	5	11	0	27.299999	7	5	11	12	63.599998	41.700001	4	18	18	22	2	11	2	19	1	0	26	10	9	10	0	22
5,597	2023-12-09T17:35:00	23	Boys	32,940	66,998	20	35	2	7	2	6	8	2	8	20	null	null	9	13	18	39	50	33.299999	9	10	15	29	60	34.5	0	3	3	10	0	30	2	6	5	23	40	26.1	2	12	16	9	1	3	5	12	1	0	27	11	9	18	6	20
2,602	2022-02-17T17:00:00	4	Girls	51,232	51,192	62	39	19	10	12	9	16	9	15	11	null	null	28	14	74	56	37.799999	25	28	14	62	47	45.200001	29.799999	0	0	12	9	0	0	6	11	18	31	33.299999	35.5	17	12	28	23	11	4	10	19	0	0	27	24	22	18	18	16
10,017	2025-10-04T16:15:00	25	Boys	54,403	11,990	38	8	3	1	11	4	2	1	22	2	null	null	0	2	0	26	0	7.7	0	2	0	18	0	11.1	0	0	0	8	0	0	0	4	0	17	0	23.5	0	5	0	6	0	1	0	11	0	0	0	22	0	0	17	1
9,833	2025-09-21T19:30:00	27	Boys	26,402	26,409	48	19	16	5	11	0	9	12	12	2	null	null	23	9	57	36	40.400002	25	21	9	46	31	45.700001	29	2	0	11	5	18.200001	0	0	1	2	2	0	50	10	9	14	20	11	2	27	4	2	5	13	35	0	0	29	4
5,748	2024-01-23T13:30:00	31	3x3 Boys	44,118	44,061	4	2	4	2	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
3,020	2022-09-05T11:30:00	32	Boys	66,945	14,070	10	64	0	25	3	16	2	10	5	13	null	null	3	29	20	62	15	46.799999	2	26	16	51	12.5	51	1	3	4	11	25	27.299999	3	3	13	9	23.1	33.299999	1	15	17	17	4	25	6	26	1	0	34	8	6	13	0	44
10,949	2025-12-08T15:30:00	23	Boys	36,056	36,059	39	22	5	6	17	0	10	7	7	9	null	null	17	9	44	31	38.599998	29	17	9	40	23	42.5	39.099998	0	0	4	8	0	0	5	4	16	8	31.299999	50	16	3	17	12	7	1	11	7	0	5	18	19	1	1	20	6
4,434	2023-08-06T18:30:00	32	Boys	13,723	13,686	46	26	15	4	11	8	12	11	8	3	null	null	21	11	52	37	40.400002	29.700001	19	10	43	33	44.200001	30.299999	2	1	9	4	22.200001	25	2	3	9	9	22.200001	33.299999	15	6	21	18	13	5	22	14	0	3	22	30	10	6	24	10
8,314	2025-08-11T18:30:00	33	Boys	39,607	27,957	41	20	8	6	10	4	9	6	14	4	null	null	15	7	34	27	44.099998	25.9	14	7	25	20	56	35	1	0	9	7	11.1	0	10	6	20	10	50	60	12	5	11	9	7	6	9	10	1	0	15	15	0	6	13	8
10,444	2025-10-16T14:45:00	7	3x3 Girls	66,982	58,992	1	0	1	0	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
338	2019-08-12T15:30:00	13	Girls	704	615	16	26	2	7	10	5	4	7	0	7	null	null	7	10	28	66	25	15.2	6	9	26	50	23.1	18	1	1	2	16	50	6.3	1	5	4	16	25	31.299999	6	17	25	11	4	3	11	17	4	0	40	20	0	0	12	19
2,676	2022-03-27T18:00:00	18	Boys	38,236	66,950	46	10	19	2	8	4	13	0	6	4	null	null	22	3	43	19	51.200001	15.8	21	2	42	10	50	20	1	1	1	9	100	11.1	1	3	2	9	50	33.299999	11	1	11	7	7	1	9	1	0	0	13	21	5	7	22	0
2,462	2021-12-15T14:30:00	19	Girls	17,493	17,529	46	7	22	0	5	3	9	0	10	4	null	null	19	3	40	10	47.5	30	19	3	40	10	47.5	30	0	0	0	0	0	0	8	1	14	6	57.099998	16.700001	13	3	4	5	8	1	13	6	0	0	14	35	11	12	25	3
6,716	2024-09-25T11:30:00	16	Girls	60,312	8,617	33	16	11	3	14	4	4	4	4	5	null	null	15	5	48	17	31.299999	29.4	15	5	44	16	34.099998	31.299999	0	0	4	1	0	0	3	6	4	13	75	46.200001	16	6	8	16	7	5	23	9	0	5	19	34	1	0	27	4
9,668	2025-09-17T12:15:00	34	3x3 Boys	1,526	1,569	2	4	2	4	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
6,738	2024-09-22T17:15:00	25	Girls	56,068	11,839	34	24	4	2	8	11	5	10	17	1	null	null	16	9	41	29	39	31	16	6	40	22	40	27.299999	0	3	1	7	0	42.900002	2	3	10	12	20	25	11	9	11	10	5	2	9	5	0	0	16	22	0	1	18	8
8,172	2025-02-18T17:30:00	17	Boys	67,154	44,107	25	28	6	5	7	1	8	6	4	16	null	null	6	9	27	27	22.200001	33.299999	4	7	16	20	25	35	2	2	11	7	18.200001	28.6	11	8	11	20	100	40	2	4	12	16	2	4	9	8	2	0	22	18	0	2	7	12
76	2019-08-09T14:40:00	2	Boys	13,212	13,222	31	17	8	4	6	3	11	3	6	7	null	null	12	7	30	19	40	36.799999	12	6	27	13	44.400002	46.200001	0	1	3	6	0	16.700001	7	2	13	16	53.799999	12.5	9	1	10	10	7	5	10	8	0	1	10	11	0	1	16	2
2,021	2021-03-07T11:00:00	8	Girls	47,627	19,221	43	50	6	6	14	10	13	12	10	22	null	null	15	22	46	71	32.599998	31	15	22	44	65	34.099998	33.799999	0	0	2	6	0	0	13	6	33	23	39.400002	26.1	6	17	14	14	3	3	13	10	0	0	29	24	0	0	11	14
288	2019-07-31T18:40:00	17	Boys	44,127	43,941	34	38	8	17	9	5	8	5	9	11	null	null	14	14	41	49	34.099998	28.6	14	11	37	33	37.799999	33.299999	0	3	4	16	0	18.799999	6	7	13	14	46.200001	50	9	11	13	13	2	3	3	9	2	0	13	8	0	1	7	6
1,573	2019-10-26T18:20:00	1	Boys	29,142	29,064	47	27	19	10	9	6	11	4	8	7	null	null	22	10	44	41	50	24.4	22	8	38	23	57.900002	34.799999	0	2	6	18	0	11.1	3	5	9	16	33.299999	31.299999	8	6	20	12	10	4	6	6	3	2	11	10	0	0	14	8
7,369	2024-10-23T12:00:00	35	3x3 Boys	28,038	28,038	8	11	8	11	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
7,198	2024-10-18T15:40:00	36	Girls	67,134	3,783	29	12	8	0	3	2	7	5	11	5	null	null	12	3	34	22	35.299999	13.6	11	3	25	16	44	18.799999	1	0	9	6	11.1	0	4	6	11	25	36.400002	24	13	9	10	8	9	4	11	6	0	0	12	13	1	0	11	5
2,434	2021-12-14T14:30:00	19	Girls	17,525	17,532	10	24	2	8	0	6	0	8	8	2	null	null	4	12	15	28	26.700001	42.900002	4	12	13	27	30.799999	44.400002	0	0	2	1	0	0	2	0	3	2	66.699997	0	4	4	8	4	2	7	4	8	4	0	23	17	4	10	7	16
10,591	2025-10-23T18:15:00	24	Boys	48,685	49,016	84	48	14	12	26	12	19	14	25	10	null	null	36	18	79	70	45.599998	25.700001	34	17	66	56	51.5	30.4	2	1	13	14	15.4	7.1	10	11	20	23	50	47.799999	17	18	35	26	15	12	13	7	7	2	17	19	0	2	29	13
6,579	2024-09-18T11:30:00	2	Boys	67,028	13,522	49	17	18	0	15	0	8	6	8	11	null	null	21	6	39	25	53.799999	24	19	5	31	23	61.299999	21.700001	2	1	8	2	25	50	5	4	10	11	50	36.400002	3	10	9	14	8	3	23	4	2	3	8	31	1	0	36	3
8,201	2025-02-19T10:45:00	17	3x3 Girls	24,504	43,964	3	2	3	2	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
4,256	2023-08-08T11:00:00	2	Boys	13,184	13,182	3	104	0	30	0	26	3	25	0	23	null	null	1	46	22	73	4.5	63	1	40	8	53	12.5	75.5	0	6	14	20	0	30	1	6	3	11	33.299999	54.5	0	21	7	16	1	33	6	30	0	3	38	8	6	3	0	61
8,855	2025-09-10T12:30:00	2	Boys	13,238	10,243	39	18	13	6	8	2	4	9	14	1	null	null	16	8	44	39	36.400002	20.5	15	8	37	32	40.5	25	1	0	7	7	14.3	0	6	2	13	8	46.200001	25	13	11	22	15	11	4	12	7	2	1	15	17	0	1	16	6
3,419	2022-10-09T17:00:00	29	Boys	59,797	66,923	38	20	6	2	10	5	16	5	6	8	null	null	17	7	46	32	37	21.9	15	6	36	22	41.700001	27.299999	2	1	10	10	20	10	2	5	8	11	25	45.5	14	6	12	12	6	2	16	11	4	1	19	26	14	12	20	11
11,407	2026-02-05T19:15:00	15	Boys	31,334	31,335	53	71	13	18	13	15	12	25	15	13	null	null	21	30	67	62	31.299999	48.400002	17	29	46	44	37	65.900002	4	1	21	18	19	5.6	7	10	25	22	28	45.5	16	6	24	28	2	5	2	4	0	1	19	23	5	5	14	13
8,670	2025-08-16T13:30:00	19	Boys	17,740	17,514	32	28	10	6	6	2	6	7	10	13	null	null	12	9	28	28	42.900002	32.099998	8	9	20	26	40	34.599998	4	0	8	2	50	0	4	10	8	26	50	38.5	5	11	15	14	2	3	7	7	0	0	14	12	0	0	16	10
874	2019-09-07T14:30:00	32	Boys	56,572	13,713	16	15	4	3	4	8	4	0	4	4	null	null	5	5	25	34	20	14.7	5	5	20	29	25	17.200001	0	0	5	5	0	0	6	5	15	15	40	33.299999	9	9	18	10	2	3	12	19	3	1	28	14	0	0	6	5
5,699	2024-01-17T18:30:00	18	Boys	38,231	38,236	15	6	2	2	4	0	3	0	6	4	null	null	4	1	26	10	15.4	10	3	1	20	7	15	14.3	1	0	6	3	16.700001	0	6	4	20	10	30	40	9	0	10	18	0	0	19	10	1	0	20	32	17	22	14	3
516	2019-09-10T14:30:00	2	Boys	58,633	10,445	34	36	5	2	8	5	3	9	9	9	9	11	12	12	62	33	19.4	36.400002	9	12	42	32	21.4	37.5	3	0	20	1	15	0	7	12	14	31	50	38.700001	16	10	12	30	10	6	16	8	5	2	17	27	1	0	14	13
10,955	2025-12-09T18:30:00	23	Boys	66,975	66,998	20	13	4	2	9	0	2	2	5	9	null	null	7	4	42	23	16.700001	17.4	5	3	25	16	20	18.799999	2	1	17	7	11.8	14.3	4	4	12	13	33.299999	30.799999	13	7	10	22	4	3	11	8	3	2	12	24	1	1	16	4
3,992	2023-02-12T12:30:00	4	Girls	51,107	51,296	16	42	11	10	3	8	2	9	0	15	null	null	6	19	28	56	21.4	33.900002	3	16	18	49	16.700001	32.700001	3	3	10	7	30	42.900002	1	3	8	11	12.5	27.299999	10	14	19	8	1	2	4	22	1	0	25	10	10	8	5	28
5,841	2024-01-29T18:30:00	9	Boys	21,897	67,156	48	11	6	3	13	3	15	2	14	3	null	null	20	5	45	27	44.400002	18.5	20	3	42	14	47.599998	21.4	0	2	3	13	0	15.4	8	2	19	7	42.099998	28.6	25	9	15	8	8	2	10	6	0	0	20	24	7	15	23	1
7,391	2024-10-27T15:00:00	7	Boys	10,128	59,472	35	17	2	6	7	2	16	4	10	5	null	null	15	6	39	26	38.5	23.1	14	5	34	16	41.200001	31.299999	1	1	5	10	20	10	4	4	21	7	19	57.099998	10	7	9	15	6	2	16	8	1	0	13	24	0	0	20	5
7,502	2024-11-01T13:45:00	5	Girls	650	1,118	11	54	2	10	3	15	5	14	1	15	null	null	4	22	28	52	14.3	42.299999	4	20	25	46	16	43.5	0	2	3	6	0	33.299999	3	8	12	13	25	61.5	4	10	20	18	2	18	12	22	3	2	34	19	1	0	2	26
1,870	2020-02-01T10:00:00	2	Boys	67,023	14,050	30	26	6	6	6	5	8	8	10	7	null	null	12	11	35	37	34.299999	29.700001	11	9	29	32	37.900002	28.1	1	2	6	5	16.700001	40	5	2	7	3	71.400002	66.699997	1	5	17	17	12	8	17	14	5	0	18	21	0	0	14	13
2,227	2021-11-17T15:30:00	37	Boys	13,728	56,826	32	39	7	13	5	10	11	7	9	9	null	null	12	15	43	27	27.9	55.599998	9	13	26	21	34.599998	61.900002	3	2	17	6	17.6	33.299999	5	7	9	15	55.599998	46.700001	10	2	11	21	7	7	9	9	1	2	16	22	17	11	16	12
5,059	2023-09-29T18:00:00	38	Boys	26,430	26,374	63	75	16	17	18	21	15	17	14	20	null	null	20	28	82	57	24.4	49.099998	16	28	57	57	28.1	49.099998	4	0	25	0	16	0	19	19	40	46	47.5	41.299999	16	16	23	50	5	4	16	7	2	6	14	30	29	27	27	7
474	2019-09-05T18:00:00	2	Boys	13,235	66,929	15	29	3	3	2	8	6	3	4	15	null	null	6	13	27	33	22.200001	39.400002	5	13	21	28	23.799999	46.400002	1	0	6	5	16.700001	0	2	3	14	9	14.3	33.299999	9	6	12	12	5	8	10	12	1	2	17	14	0	0	3	14
7,548	2024-11-04T16:30:00	26	Girls	43,146	43,198	10	54	0	14	4	19	2	11	4	10	null	null	5	25	12	47	41.700001	53.200001	5	25	12	46	41.700001	54.299999	0	0	0	1	0	0	0	4	4	10	0	40	3	10	9	5	2	11	2	28	0	0	40	14	0	2	6	39
7,686	2024-11-16T16:15:00	39	3x3 Boys	199	2,072	4	8	4	8	null	null	null	null	null	null	null	null	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
10,080	2025-10-11T16:00:00	2	Boys	13,215	13,249	20	76	6	20	4	16	5	18	5	22	null	null	6	33	25	67	24	49.299999	5	29	18	56	27.799999	51.799999	1	4	7	11	14.3	36.400002	7	6	10	9	70	66.699997	2	17	18	16	6	30	6	25	3	3	32	8	0	0	4	42

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Indonesian High School Basketball Complete Stats

language:

tags:

basketball
sports
sports-analytics
indonesia
high-school
tabular
real-world-data

Demographics told you who they are. This tells you how they play.

A structured, multi-table dataset covering high school basketball competition in Indonesia match results with full team box stats, per-player per-game performance, and multi-season player statistics. Delivered as compressed Parquet files, ready for pandas, polars, DuckDB, or the datasets library.

This is the follow-up to illustricious/indonesian-highschool-basketball-demographics(player height, weight, gender, and school city only). This dataset goes further — actual quarter-by-quarter scores, made/attempted/percentage splits for 2PT/3PT/FT, rebounds (offensive/defensive), assists, steals, blocks, turnovers, fouls, and points off turnovers, at both the match level and the player level, plus season-aggregated player statistics across multiple years.

⚠️ Real data, not synthetic — but please validate

This dataset was collected from real match and player records, not generated or simulated. Unlike some sports datasets circulating on Kaggle/Hugging Face that are partially or fully synthetic (randomly generated stats dressed up as real competition data), everything here traces back to actual games and actual players.

That said: this was compiled independently, not released by an official body, so treat it as community-collected, not authoritative. A few things to keep in mind before you rely on it for anything serious:

Some fields may contain parsing artifacts or NULL values where the original source data was inconsistent or incomplete (see Notes & limitations below).
Cross-check any numbers you plan to publish or cite against another source if possible.
If you spot an error, please open a discussion on this dataset's page — corrections are welcome.

Dataset structure

`matches.parquet`

One row per game. Team-level (_a / _b) box score for both sides.

Column	Type	Description
`match_id`	INT32	Primary key
`match_time`	TIMESTAMP	Game date/time
`venue_id`	INT32	FK → `venues.venue_id`
`category`	VARCHAR	Competition category
`school_id_a` / `school_id_b`	INT32	FK → `schools.school_id`
`score_a` / `score_b`	SMALLINT	Final score
`q1_a` … `q4_a`, `q1_b` … `q4_b`	SMALLINT	Per-quarter score
`ot_a` / `ot_b`	SMALLINT	Overtime score
`fg_made_` / `fg_att_` / `fg_pct_*`	SMALLINT / SMALLINT / FLOAT	Field goal stats
`fg2_`, `fg3_`	SMALLINT / FLOAT	2PT and 3PT splits
`ft_made_` / `ft_att_` / `ft_pct_*`	SMALLINT / SMALLINT / FLOAT	Free throw stats
`reb_off_` / `reb_def_`	SMALLINT	Rebounds
`assists_`, `steals_`, `blocks_`, `turnovers_`, `fouls_*`	SMALLINT	Standard box score stats
`points_off_turnover_*`	SMALLINT	Points off turnovers

`player_boxscores.parquet`

One row per player, per match — the granular fact table.

Column	Type	Description
`id`	INT32	Primary key
`match_id`	INT32	FK → `matches.match_id`
`school_id`	INT32	FK → `schools.school_id`
`jersey_no`	VARCHAR	Jersey number
`player_id`	INT32	FK → `players.player_id`
`position`	VARCHAR	Player position
`seconds_played`	INT16	Time on court, in seconds (parsed from `MM:SS`)
`points`, `assists`, `rebounds`	SMALLINT	Game totals

`player_statistics.parquet`

One row per player, per season — aggregated performance.

Column	Type	Description
`id`	INT32	Primary key
`player_id`	INT32	FK → `players.player_id`
`year`	SMALLINT	Season year
`gp`	SMALLINT	Games played
`mpg`	FLOAT	Minutes per game (decimal minutes, parsed from `MM:SS`)
`pts`	SMALLINT	Points per season total
`fg_pct`, `three_pt_pct`, `ft_pct`	FLOAT	Shooting percentages
`trb`, `ast`, `blk`, `stl`	SMALLINT	Rebounds, assists, blocks, steals

`players.parquet`

Column	Type	Description
`player_id`	INT32	Primary key
`is_male`	BOOLEAN	`TRUE` for male players, `FALSE` for female
`birth_year_estimate`	SMALLINT	Estimated birth year
`height_cm`, `weight_kg`	SMALLINT	Physical attributes
`school_id`	INT32	FK → `schools.school_id`

`schools.parquet`

Column	Type	Description
`school_id`	INT32	Primary key
`name`, `city`, `province`	VARCHAR	School info

`venues.parquet`

Column	Type	Description
`venue_id`	INT32	Primary key
`name`	VARCHAR	Venue name

Notes & limitations

Foreign-key id columns were parsed with TRY_CAST during conversion; a small number of rows may contain NULL where the source value didn't parse cleanly.
seconds_played (per-game, integer seconds) and mpg (per-season average, decimal minutes) use different units by design — one is a raw per-game duration, the other a seasonal average.
This is real, community-collected data — not synthetic — but it is unofficial and has not been independently audited. Please verify accuracy before using it for anything beyond exploratory analysis or modeling practice.

Suggested use cases

Win/loss prediction, player performance modeling, shooting efficiency analysis, team strength rating, season-over-season player development tracking, and general sports analytics practice.

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