{| border=0 class="toccolours float-right" align="right" style="margin:0 0 0.5em 1em; font-size: 85%;" ! bgcolor=#b0c4de colspan=2 align="center" | Saslong |- | align="center" colspan=2 | 220px |- |Place: || Val Gardena/Gröden |- |Mountain: || Langkofel, Dolomites |- |Member: || Club5+ |- |Opened: || 1969 |- | Level: || 13px expert |- ! bgcolor=#b0c4de colspan=2 align="center" | Downhill |- | Start: || (AA) |- | Finish: || |- | Vertical drop: || |- | Length: || |- | Max. incline: || 29.6 degrees (56.9%) |- | Avg. incline: || 13.8 degrees (24.5%) |- | Min. incline: || 6.4 degrees (11.2%) |-
{| border=0 class="toccolours float-right" align="right" style="margin:0 0 0.5em 1em; font-size: 85%;" ! bgcolor=#b0c4de colspan=2 align="center" | Saslong |- | align="center" colspan=2 | 220px |- |Place: || Val Gardena/Gröden |- |Mountain: || Langkofel, Dolomites |- |Member: || Club5+ |- |Opened: || 1969 |- | Level: || 13px expert |- ! bgcolor=#b0c4de colspan=2 align="center" | Downhill |- | Start: || (AA) |- | Finish: || |- | Vertical drop: || |- | Length: || |- | Max. incline: || 29.6 degrees (56.9%) |- | Avg. incline: || 13.8 degrees (24.5%) |- | Min. incline: || 6.4 degrees (11.2%) |- | Most wins (M): || Franz Klammer (4x) Kristian Ghedina (4x) |- | Most wins (L): || Ilka Štuhec (1x) |- ! bgcolor=#b0c4de colspan=2 align="center" | Super-G |- | Start: || (AA) |- | Finish: || |- | Vertical drop: || |- | Length: || |- | Max. incline: || 29.6 degrees (56.9%) |- | Avg. incline: || 14.0 degrees (24.9%) |- | Min. incline: || 6.5 degrees (11.4%) |- | Most wins (M): || Aksel Lund Svindal (5x) |- | Most wins (L): || Ilka Štuhec (1x) |} Saslong is a World Cup downhill ski course in northern Italy, just above Val Gardena/Gröden in the South Tyrol. Located on the Langkofel in the Dolomites, the race course made its World Cup debut in February 1969. The ski course is named after the mountain Saslonch (, ) with an adapted spelling.
Franz Klammer and Kristian Ghedina won record 4 downhills and Aksel Lund Svindal record 5 super-G's.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).