Game Finder

Filters over every box score. The answer comes back at the least aggregated level the filters allow, so a question about one player is answered per player and a question about a team is answered per team.

Source: league game log
2018-19 to 2026-27 · 11,842 games

Player game

Points≥40

Assists≥10

Turnovers≤2

Team game

ResultisLoss

Overtimes=0

Context

Seasonfrom2018-19

Venueany

Opponentany

+ Add filter

Run query

Aggregation resolved

Player game

One row per player, per game

Selected

Team game

Player rows summed per game and team

Available

Game

Both teams, one row

Available

Three of the five active filters are player level, so the query resolves to the player game. The two team filters still apply: each candidate player row is joined to its own team’s row for that game, which is how Result is Loss and Overtimes = 0 narrow a per-player result without changing what a row means.

Rows surviving each filter

Player games in range484,102

Points ≥ 401,742

Assists ≥ 1094

Turnovers ≤ 216

Team result is a loss8

No overtime6

The turnover filter is the expensive one: 94 down to 16. A 40 and 10 night with two turnovers or fewer is the rare part, not the 40 and not the 10.

Results

40 points, 10 assists, 2 or fewer turnovers, in regulation, in a loss 6 rows · 214 ms

Player	Date	Matchup	Min	Pts	Reb	Ast	TO	Team	Result
Luka Dončić	14 Jan 2027	LAL at DEN	39	44	9	12	2	118	L 118-124
Shai Gilgeous-Alexander	2 Mar 2026	OKC at BOS	38	41	5	10	1	115	L 115-119
Cade Cunningham	28 Nov 2025	DET vs NYK	41	40	7	11	2	109	L 109-113
Tyrese Haliburton	19 Feb 2025	IND at MIL	37	40	4	13	0	126	L 126-131
Nikola Jokić	6 Apr 2024	DEN at MIN	40	42	14	10	2	102	L 102-108
Trae Young	11 Jan 2022	ATL at CHA	36	43	3	10	1	121	L 121-124

Not filtered on yet Play by play Ejections EPM Shown so the query builder never implies a filter it cannot honour.

Every row, date, score and timing figure on this screen is invented. NBA player and team names are public fact.