Datasets:

mvpeav
/

cfb-sims-2025

Tags:

License:

Dataset card Files Files and versions

xet

Community

Dataset Viewer

Duplicate

Split (1)

train

The dataset viewer is not available for this split.

Cannot load the dataset split (in streaming mode) to extract the first rows.

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
convention: string
n_sims: int64
quantile_levels: list<item: int64>
  child 0, item: int64
quantiles: struct<margin: list<item: double>, total: list<item: double>, teamA_pts: list<item: double>, teamB_p (... 23 chars omitted)
  child 0, margin: list<item: double>
      child 0, item: double
  child 1, total: list<item: double>
      child 0, item: double
  child 2, teamA_pts: list<item: double>
      child 0, item: double
  child 3, teamB_pts: list<item: double>
      child 0, item: double
hist: struct<margin: list<item: struct<start: double, end: double, count: int64>>, total: list<item: struc (... 45 chars omitted)
  child 0, margin: list<item: struct<start: double, end: double, count: int64>>
      child 0, item: struct<start: double, end: double, count: int64>
          child 0, start: double
          child 1, end: double
          child 2, count: int64
  child 1, total: list<item: struct<start: double, end: double, count: int64>>
      child 0, item: struct<start: double, end: double, count: int64>
          child 0, start: double
          child 1, end: double
          child 2, count: int64
A_pts: list<item: int64>
  child 0, item: int64
B_pts: list<item: int64>
  child 0, item: int64
totals: list<item: int64>
  child 0, item: int64
spreads: list<item: int64>
  child 0, item: int64
game_id: int64
slug: string
teamA: string
teamB: string
updated: timestamp[s]
weeks: list<item: struct<week: int64, id: string, dir: string, label: string, legacy_key: string, n_games:  (... 64 chars omitted)
  child 0, item: struct<week: int64, id: string, dir: string, label: string, legacy_key: string, n_games: int64, has_ (... 52 chars omitted)
      child 0, week: int64
      child 1, id: string
      child 2, dir: string
      child 3, label: string
      child 4, legacy_key: string
      child 5, n_games: int64
      child 6, has_open: bool
      child 7, bundle_rows: int64
      child 8, bundle_bytes: int64
note: string
season: int64
layout: struct<season_index: string, week_index: string, scores_bundle: string, scores_per_game: string, pla (... 51 chars omitted)
  child 0, season_index: string
  child 1, week_index: string
  child 2, scores_bundle: string
  child 3, scores_per_game: string
  child 4, players_per_game: string
  child 5, games: string
  child 6, open: string
sport: string
to
{'sport': Value('string'), 'season': Value('int64'), 'note': Value('string'), 'layout': {'season_index': Value('string'), 'week_index': Value('string'), 'scores_bundle': Value('string'), 'scores_per_game': Value('string'), 'players_per_game': Value('string'), 'games': Value('string'), 'open': Value('string')}, 'weeks': List({'week': Value('int64'), 'id': Value('string'), 'dir': Value('string'), 'label': Value('string'), 'legacy_key': Value('string'), 'n_games': Value('int64'), 'has_open': Value('bool'), 'bundle_rows': Value('int64'), 'bundle_bytes': Value('int64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              convention: string
              n_sims: int64
              quantile_levels: list<item: int64>
                child 0, item: int64
              quantiles: struct<margin: list<item: double>, total: list<item: double>, teamA_pts: list<item: double>, teamB_p (... 23 chars omitted)
                child 0, margin: list<item: double>
                    child 0, item: double
                child 1, total: list<item: double>
                    child 0, item: double
                child 2, teamA_pts: list<item: double>
                    child 0, item: double
                child 3, teamB_pts: list<item: double>
                    child 0, item: double
              hist: struct<margin: list<item: struct<start: double, end: double, count: int64>>, total: list<item: struc (... 45 chars omitted)
                child 0, margin: list<item: struct<start: double, end: double, count: int64>>
                    child 0, item: struct<start: double, end: double, count: int64>
                        child 0, start: double
                        child 1, end: double
                        child 2, count: int64
                child 1, total: list<item: struct<start: double, end: double, count: int64>>
                    child 0, item: struct<start: double, end: double, count: int64>
                        child 0, start: double
                        child 1, end: double
                        child 2, count: int64
              A_pts: list<item: int64>
                child 0, item: int64
              B_pts: list<item: int64>
                child 0, item: int64
              totals: list<item: int64>
                child 0, item: int64
              spreads: list<item: int64>
                child 0, item: int64
              game_id: int64
              slug: string
              teamA: string
              teamB: string
              updated: timestamp[s]
              weeks: list<item: struct<week: int64, id: string, dir: string, label: string, legacy_key: string, n_games:  (... 64 chars omitted)
                child 0, item: struct<week: int64, id: string, dir: string, label: string, legacy_key: string, n_games: int64, has_ (... 52 chars omitted)
                    child 0, week: int64
                    child 1, id: string
                    child 2, dir: string
                    child 3, label: string
                    child 4, legacy_key: string
                    child 5, n_games: int64
                    child 6, has_open: bool
                    child 7, bundle_rows: int64
                    child 8, bundle_bytes: int64
              note: string
              season: int64
              layout: struct<season_index: string, week_index: string, scores_bundle: string, scores_per_game: string, pla (... 51 chars omitted)
                child 0, season_index: string
                child 1, week_index: string
                child 2, scores_bundle: string
                child 3, scores_per_game: string
                child 4, players_per_game: string
                child 5, games: string
                child 6, open: string
              sport: string
              to
              {'sport': Value('string'), 'season': Value('int64'), 'note': Value('string'), 'layout': {'season_index': Value('string'), 'week_index': Value('string'), 'scores_bundle': Value('string'), 'scores_per_game': Value('string'), 'players_per_game': Value('string'), 'games': Value('string'), 'open': Value('string')}, 'weeks': List({'week': Value('int64'), 'id': Value('string'), 'dir': Value('string'), 'label': Value('string'), 'legacy_key': Value('string'), 'n_games': Value('int64'), 'has_open': Value('bool'), 'bundle_rows': Value('int64'), 'bundle_bytes': Value('int64')})}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

CFB Monte Carlo Sims - 2025 Season Archive

Per-game Monte Carlo simulation output for the 2025 college football season, produced by MVPeav's CFB-Monte model. Archived from the site frontend so the web app can fetch it at runtime instead of bundling it.

Layout

2025/season_index.json              # week list + counts (start here)
2025/weeks/weekNN/index.json        # per-week manifest, games[] with slugs + team names
2025/weeks/weekNN/scores_bundle.csv # all games' score sims for the week (one fetch)
2025/weeks/weekNN/scores/<slug>.csv # single game score sims
2025/weeks/weekNN/players/<slug>.csv# single game player sims
2025/weeks/weekNN/games.csv         # schedule, closing lines, actual results
2025/weeks/weekNN/open.csv          # opening lines (most weeks)

<slug> is <teamA>_<teamB>, lowercased and stripped of non-alphanumerics.

Schemas

scores_bundle.csv: slug,team,opp,pts,opp_pts,plays,opp_plays - one row per simulation.
scores/<slug>.csv: same minus slug.
players/<slug>.csv: sim,start,team,opp,player,role,pass_att,pass_comp,pass_yds,pass_td,INT,sacks,rush_att,rush_yds,rush_td,rec,tgt,rec_yds,rec_td
games.csv: date,time,Team A,Team B,Spread,OU,Team A Score Actual,Team B Score Actual,TeamAML,TeamBML
open.csv: Id,HomeTeam,HomeScore,AwayTeam,AwayScore,FormattedSpread,LineProvider,OverUnder,Spread,OpeningSpread,OpeningOverUnder,HomeMoneyline,AwayMoneyline

Weeks 14-16 cover rivalry week, conference championships, and bowls + Army-Navy.

Downloads last month: 534

Total file size:

1 GB