luxury-lakehouse/obso-pausa-method
Other • Updated
event_id stringlengths 14 14 | frame_id int32 10k 70.5k | alignment_confidence float64 0.1 1 | alignment_error_seconds float64 0 1.02 |
|---|---|---|---|
18226500000848 | 65,088 | 0.6066 | 0.591 |
18226500000849 | 65,926 | 0.6 | 0.5 |
18226500000850 | 66,033 | 0.6107 | 0.773 |
18226500000851 | 66,033 | 0.6069 | 0.85 |
18226500000853 | 66,222 | 0.6 | 0.699 |
18226500000855 | 66,287 | 0.6 | 0.63 |
18226500000862 | 70,275 | 0.6078 | 0.703 |
18226500000863 | 70,275 | 0.6095 | 0.152 |
18226500000864 | 70,315 | 0.6115 | 0.494 |
18226500000865 | 70,386 | 0.6557 | 0.94 |
18226500000866 | 70,364 | 0.6306 | 0.454 |
18226500000867 | 70,437 | 0.6143 | 0.669 |
18226500000868 | 70,500 | 0.6178 | 0.368 |
18226500000869 | 70,500 | 0.6118 | 0.19 |
18226500000871 | 70,500 | 0.6356 | 0.57 |
18226500000873 | 60,460 | 0.6172 | 0.45 |
18226500000159 | 10,001 | 0.6402 | 0.454 |
18226500000161 | 10,046 | 0.6105 | 0.727 |
18226500000162 | 10,126 | 0.6067 | 0.495 |
18226500000168 | 10,487 | 0.6196 | 0.956 |
18226500000169 | 10,581 | 0.6174 | 0.032 |
18226500000170 | 10,706 | 0.6089 | 0.623 |
18226500000171 | 10,916 | 0.9532 | 0.658 |
18226500000174 | 10,963 | 0.6266 | 0.435 |
18226500000176 | 11,072 | 0.6186 | 0.887 |
18226500000177 | 11,023 | 0.6118 | 0.5 |
18226500000178 | 11,072 | 0.6755 | 0.275 |
18226500000179 | 11,142 | 0.6259 | 0.151 |
18226500000180 | 11,142 | 0.6122 | 0.572 |
18226500000181 | 11,303 | 0.6102 | 0.259 |
18226500000182 | 11,277 | 0.6092 | 0.875 |
18226500000183 | 11,388 | 0.9573 | 0.433 |
18226500000184 | 11,450 | 0.7785 | 0.063 |
18226500000185 | 11,481 | 0.6219 | 0.4 |
18226500000186 | 11,615 | 0.6072 | 0.164 |
18226500000187 | 11,719 | 0.6077 | 1.01 |
18226500000189 | 13,001 | 0.6683 | 0.07 |
18226500000190 | 13,124 | 0.6435 | 0.258 |
18226500000191 | 13,124 | 0.6159 | 0.566 |
18226500000194 | 13,251 | 0.6135 | 0.871 |
18226500000195 | 13,246 | 0.613 | 0.587 |
18226500000196 | 13,315 | 0.6103 | 0.227 |
18226500000197 | 13,324 | 0.6208 | 0.856 |
18226500000199 | 13,449 | 0.6108 | 0.023 |
18226500000202 | 13,974 | 0.6085 | 0.503 |
18226500000203 | 14,015 | 0.6077 | 0.768 |
18226500000204 | 14,047 | 0.615 | 0.187 |
18226500000205 | 14,168 | 0.6101 | 0.449 |
18226500000206 | 14,105 | 0.6089 | 0.625 |
18226500000207 | 14,168 | 0.6104 | 0.953 |
18226500000208 | 14,259 | 0.6266 | 0.178 |
18226500000211 | 14,333 | 0.6076 | 0.996 |
18226500000213 | 14,333 | 0.6126 | 0.174 |
18226500000214 | 14,333 | 0.6126 | 0.36 |
18226500000215 | 14,379 | 0.9956 | 0.923 |
18226500000216 | 14,496 | 0.6273 | 0.674 |
18226500000217 | 14,514 | 0.8412 | 0.733 |
18226500000218 | 14,616 | 0.6113 | 0.116 |
18226500000219 | 14,659 | 0.61 | 0.573 |
18226500000220 | 14,722 | 0.6214 | 0.03 |
18226500000221 | 14,806 | 0.6713 | 0.317 |
18226500000222 | 14,864 | 0.6119 | 0.351 |
18226500000223 | 14,970 | 0.7415 | 0.628 |
18226500000224 | 15,075 | 0.6141 | 1.001 |
18226500000225 | 15,234 | 0.9049 | 0.432 |
18226500000226 | 15,246 | 0.6156 | 0.456 |
18226500000227 | 15,424 | 0.6078 | 0.721 |
18226500000228 | 15,539 | 0.6256 | 0.333 |
18226500000229 | 15,652 | 0.6082 | 0.164 |
18226500000230 | 15,695 | 0.6585 | 0.173 |
18226500000232 | 15,745 | 0.6109 | 0.823 |
18226500000233 | 15,781 | 0.6108 | 0.403 |
18226500000234 | 15,800 | 0.6198 | 0.421 |
18226500000235 | 15,862 | 0.6465 | 0.539 |
18226500000243 | 16,228 | 0.6348 | 0.226 |
18226500000244 | 16,302 | 0.6082 | 0.904 |
18226500000245 | 16,302 | 0.611 | 0.306 |
18226500000246 | 16,446 | 0.6094 | 0.82 |
18226500000247 | 16,375 | 0.6178 | 0.446 |
18226500000248 | 16,446 | 0.6147 | 0.439 |
18226500000249 | 16,496 | 0.611 | 0.34 |
18226500000250 | 16,514 | 0.6071 | 0.122 |
18226500000251 | 16,574 | 0.609 | 0.544 |
18226500000252 | 13,142 | 0.6141 | 0.85 |
18226500000255 | 13,164 | 0.6182 | 0.21 |
18226500000258 | 16,805 | 0.6186 | 0.21 |
18226500000259 | 16,880 | 0.619 | 0.194 |
18226500000260 | 16,916 | 0.7917 | 0.72 |
18226500000263 | 17,289 | 0.6209 | 0.749 |
18226500000264 | 13,220 | 0.6215 | 0.59 |
18226500000267 | 17,542 | 0.6119 | 0.017 |
18226500000268 | 17,597 | 0.6135 | 0.223 |
18226500000270 | 17,660 | 0.6096 | 0.725 |
18226500000271 | 13,317 | 0.6246 | 1.01 |
18226500000272 | 17,768 | 0.6136 | 0.068 |
18226500000273 | 13,324 | 0.6105 | 0.93 |
18226500000274 | 17,820 | 0.6211 | 0.581 |
18226500000275 | 17,910 | 0.6146 | 0.106 |
18226500000276 | 13,373 | 0.6084 | 0.87 |
18226500000277 | 17,985 | 0.609 | 0.508 |
Prerequisite datasets for computing OBSO value surfaces and PAUSA pass timing scores. Contains IDSSE Bundesliga event data and ELASTIC event-tracking synchronization results for 7 matches.
Part of the (Right! Luxury!) Lakehouse soccer analytics platform.
data/events/)
DFL event data from 7 IDSSE Bundesliga matches. One row per event with position data. Coordinates are in DFL pitch-origin meters (x: 0-105, y: 0-68).
| Column | Type | Description |
|---|---|---|
match_id |
string | Match identifier (idsse_J03...) |
event_id |
string | Unique event identifier within match |
event_type |
string | DFL event type (Play, KickOff, TacklingGame, etc.) |
timestamp_seconds |
double | Seconds from period start |
period |
int | Match half (1 or 2) |
player_id |
string | DFL PersonId of acting player |
team |
string | Team affiliation (home or away) |
x |
double | Event x-coordinate (DFL pitch-origin meters, 0-105) |
y |
double | Event y-coordinate (DFL pitch-origin meters, 0-68) |
data/elastic_sync/)
Event-to-frame alignments produced by the ELASTIC algorithm (Kim et al. 2025). Maps each event to its best-matching tracking frame via ball acceleration and player-ball proximity features.
| Column | Type | Description |
|---|---|---|
match_id |
string | Match identifier (idsse_J03...) |
event_id |
string | Event identifier (joins to events) |
frame_id |
int | Best-matching tracking frame number |
alignment_confidence |
double | Confidence score (0 to 1) |
alignment_error_seconds |
double | Time error between event and aligned frame |
x_sb = x / 105.0 * 120.0, y_sb = y / 68.0 * 80.0.luxury-lakehouse/pitch-control-tracking (IDSSE partition).elastic_sync.frame_id maps to tracking frame column.from datasets import load_dataset
events = load_dataset("luxury-lakehouse/obso-pausa-inputs", "events")["train"]
sync = load_dataset("luxury-lakehouse/obso-pausa-inputs", "elastic_sync")["train"]
tracking = load_dataset("luxury-lakehouse/pitch-control-tracking",
data_files="data/source_provider=idsse/**/*.parquet")["train"]
MIT — computed from IDSSE open data (CC-BY 4.0).