Get historical NCAA tournament performance from barttorvik.com, by team, coach, conference or seed.
Returns raw and adjusted NCAA tournament results, including PASE (performance above seed expectation) and PAKE (performance above KenPom expectation) plus round-by-round appearance counts. No API key is required. Data runs from 2000 to present.
Value
A hoopR_data tibble with one row per team/coach/conference/seed:
| col_name | types | description |
| rk | integer | Rank within the queried split. |
| team | character | Team / coach / conference / seed (per type). |
| pake | numeric | Performance above KenPom expectation (wins). |
| pase | numeric | Performance above seed expectation (wins). |
| wins | integer | Total tournament wins. |
| loss | integer | Total tournament losses. |
| w_percent | numeric | Tournament win percentage. |
| r64 | integer | Round of 64 appearances. |
| r32 | integer | Round of 32 appearances. |
| s16 | integer | Sweet 16 appearances. |
| e8 | integer | Elite 8 appearances. |
| f4 | integer | Final 4 appearances. |
| f2 | integer | Championship-game appearances. |
| champ | integer | National championships. |
| top2 | integer | Top-2 (runner-up or champion) finishes. |
| f4_percent | numeric | Final 4 rate. |
| champ_percent | numeric | Championship rate. |
| min_year | integer | Minimum year queried (echoes min_year). |
| max_year | integer | Maximum year queried (echoes max_year). |
| type | character | Aggregation level queried (echoes type). |
See also
Other Torvik Functions:
torvik_game_schedule(),
torvik_game_stats(),
torvik_player_stats(),
torvik_ratings(),
torvik_team_factors()
Examples
# \donttest{
try(torvik_ncaa_results(min_year = 2010, max_year = 2024, type = "conf"))
#> ── Bart Torvik NCAA tournament results from barttorvik.com ────── hoopR 3.1.0 ──
#> ℹ Data updated: 2026-06-30 20:02:18 UTC
#> # A tibble: 33 × 20
#> rk conf pake pase wins loss w_percent r64 r32 s16 e8 f4
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 1 ACC 18.9 15.3 142 80 0.640 84 59 40 23 10
#> 2 2 P12 7.8 8.0 69 51 0.575 51 36 23 8 2
#> 3 3 Horz 6.6 7.8 11 14 0.440 14 3 2 2 2
#> 4 4 SEC 3.7 6.8 106 73 0.592 74 47 29 19 8
#> 5 5 CUSA 3.6 3.5 10 16 0.385 16 7 1 1 1
#> 6 6 Ivy 3.4 4.2 8 13 0.381 13 6 2 0 0
#> 7 7 MVC 3.3 5.8 21 19 0.525 19 12 5 2 2
#> 8 8 B10 1.2 2.0 132 93 0.587 93 69 35 15 9
#> 9 9 CAA 1.1 1.4 7 16 0.304 16 4 1 1 1
#> 10 10 MAC 1.0 1.9 6 14 0.300 14 5 1 0 0
#> # ℹ 23 more rows
#> # ℹ 8 more variables: f2 <chr>, champ <chr>, top2 <chr>, f4_percent <chr>,
#> # champ_percent <chr>, min_year <int>, max_year <int>, type <chr>
# }