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dataset: publish leakage-safe DGW repair

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Atomic verified export from PascalAI2024/fplbench. Source revision: 3a903fab2ef972800fe30ff38d340f5ba960a92b. Parent: c39a42fa76255863f184ad43e7e38ecf62c43711.

Files changed (5) hide show
  1. README.md +142 -78
  2. features.txt +100 -94
  3. manifest.json +197 -0
  4. train.parquet +2 -2
  5. validation.parquet +2 -2
README.md CHANGED
@@ -1,8 +1,10 @@
1
  ---
2
  language:
3
  - en
4
- pretty_name: fplbench player-gameweek panel
5
  license: other
 
 
6
  task_categories:
7
  - tabular-regression
8
  - tabular-classification
@@ -11,123 +13,185 @@ tags:
11
  - fantasy-premier-league
12
  - sports
13
  - time-series
 
 
 
 
 
14
  size_categories:
15
  - 100K<n<1M
 
 
 
 
 
 
 
16
  ---
17
 
18
- # fplbench — leakage-safe Fantasy Premier League panel
 
 
 
 
19
 
20
- One row per player per Premier League gameweek. Built so you can train a model
21
- without accidentally using the same gameweek's result as a feature.
22
 
23
- ## Live scoreboard (2026/27)
24
 
25
- Updated weekly by the [fplbench post-GW workflow](https://github.com/PascalAI2024/fplbench/blob/main/.github/workflows/fplbench.yml) from official FPL actuals. No invented numbers.
 
26
 
27
- ### Model accuracy — published `e_points_final` MAE vs FPL `ep_next`
 
 
 
 
 
28
 
29
- No finished gameweek scored yet — the first row lands after GW1.
30
 
31
- ### Team — The Leakage-Safe XI (entry 4770634)
 
 
32
 
33
- | GW | pts | GW avg | vs avg | captain | overall rank | total pts |
34
- |---|---|---|---|---|---|---|
35
- | 1 (live) | 51 | 36 | +15 | Haaland | 793,389 | 51 |
36
 
37
- - Code + weekly self-scoring: https://github.com/PascalAI2024/fplbench
38
- - The team, live in the official FPL game: https://fantasy.premierleague.com/entry/4770634/history
 
 
39
 
40
- _Last refreshed: 2026-08-24 19:01 UTC_
41
 
42
- ## Load with `datasets`
 
 
43
 
44
- Path-based load from a clone of this repo (adjust the root if needed):
45
 
46
- ```python
47
- from datasets import load_dataset
 
 
 
 
 
 
48
 
49
- ds = load_dataset(
50
- "parquet",
51
- data_files={
52
- "train": "data/processed/hf/train.parquet",
53
- "validation": "data/processed/hf/validation.parquet",
54
- },
55
- )
56
- # ds["train"], ds["validation"]
57
- ```
58
 
59
- From this directory:
60
 
61
- ```python
62
- from datasets import load_dataset
63
 
64
- ds = load_dataset(
65
- "parquet",
66
- data_files={"train": "train.parquet", "validation": "validation.parquet"},
67
- )
68
- ```
69
 
70
- Feature names used by the bundled LightGBM heads are listed in `features.txt`
71
- (same set as `data/processed/feature_columns.txt`).
72
 
73
- ## Train / validation / live seasons
 
 
74
 
75
- | split | seasons | in this export? | intended use |
76
- |-------|---------|-----------------|--------------|
77
- | train | 2021-22, 2022-23, 2023-24, 2024-25 | yes → `train.parquet` | fit minutes + points heads |
78
- | validation | 2025-26 | yes → `validation.parquet` | held-out season; first full DefCon year |
79
- | live | 2026-27 | **no** | scored weekly from the official FPL API |
80
 
81
- Live season rows are never written here. Use the live predictor / API ingest instead.
 
82
 
83
- ## Leakage rule
84
 
85
- **Do not use unshifted `xP` / `xp_scraped` as a feature.**
 
 
 
86
 
87
- - Every performance statistic used as a **feature** is shifted by one gameweek
88
- inside `(season, player_code)`.
89
- - Columns ending `_l1`, `_r3`, `_r5` (plus a small set of static priors / context
90
- columns) are the only form features.
91
- - `xp_scraped` is the vaastav `xP` column, copied from FPL `ep_this` **after**
92
- the gameweek. Treat it as a contaminated baseline label/comparator only —
93
- never as a model input.
94
 
95
- See [vaastav/Fantasy-Premier-League](https://github.com/vaastav/Fantasy-Premier-League).
96
 
97
- ## Targets
 
 
98
 
99
  - `minutes`
100
  - `total_points`
101
- - `defcon_hit` — 1 if the official 2025/26–2026/27 threshold is met
102
- (DEF: CBIT ≥ 10; MID/FWD: CBIT + recoveries ≥ 12; GK: 0)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
103
 
104
- ## Caveats
 
 
105
 
106
- ### In-sample `pred_defcon` (GW ≤ 28)
107
 
108
- The DefCon classifier is fit on 2025-26 **GW ≤ 28**. When you look at
109
- validation predictions (`outputs/predictions/val_2025-26.csv`), `pred_defcon`
110
- on those early gameweeks is **in-sample** — the model saw those rows during
111
- training. **Holdout DefCon metrics must use GW > 28 only.**
 
 
 
 
112
 
113
- ### Double gameweeks (DGW)
 
 
 
114
 
115
- The live predictor raises `NotImplementedError` when a team has two or more
116
- unfinished fixtures in the same event (double gameweek). DGW is not supported
117
- yet; single-fixture events only.
118
 
119
- ## Sources
 
 
 
 
120
 
121
- - Historical rows: [vaastav/Fantasy-Premier-League](https://github.com/vaastav/Fantasy-Premier-League) (cite if you use this)
122
- - Labels follow official FPL scoring. Underlying player data is owned by the Premier League / its data providers.
123
- - This export is for research and personal modelling. It is not an official Premier League product.
124
 
125
- ## Recommended citation
126
 
127
- Vaastav Anand, FPL Historical Dataset, https://github.com/vaastav/Fantasy-Premier-League
128
 
129
- ## Links
 
130
 
131
- - Code + weekly self-scoring: https://github.com/PascalAI2024/fplbench
132
- - GW1 pitch board: https://huggingface.co/spaces/x0me/fplbench-board
133
- - The model's team in the official FPL game (live from GW1): The Leakage-Safe XI on https://fantasy.premierleague.com
 
1
  ---
2
  language:
3
  - en
4
+ pretty_name: "fplbench — Leakage-Safe Fantasy Premier League Panel"
5
  license: other
6
+ source_datasets:
7
+ - extended
8
  task_categories:
9
  - tabular-regression
10
  - tabular-classification
 
13
  - fantasy-premier-league
14
  - sports
15
  - time-series
16
+ - tabular
17
+ - datasets
18
+ - pandas
19
+ - polars
20
+ - sports-analytics
21
  size_categories:
22
  - 100K<n<1M
23
+ configs:
24
+ - config_name: default
25
+ data_files:
26
+ - split: train
27
+ path: train.parquet
28
+ - split: validation
29
+ path: validation.parquet
30
  ---
31
 
32
+ <p align="center">
33
+ <a href="https://huggingface.co/spaces/x0me/fplbench-board">
34
+ <img src="https://raw.githubusercontent.com/PascalAI2024/fplbench/main/docs/img/social.png" alt="Dated preview of the fplbench Fantasy Premier League benchmark board" width="960">
35
+ </a>
36
+ </p>
37
 
38
+ <p align="center"><sub>Dated board preview. Open the board for current provisional values.</sub></p>
 
39
 
40
+ # fplbench
41
 
42
+ **Leakage-aware Fantasy Premier League player-fixture data, reproducible
43
+ LightGBM forecasts, and a public post-gameweek scoring record.**
44
 
45
+ [Load the dataset](#load-it-in-one-line) ·
46
+ [Open the live board](https://huggingface.co/spaces/x0me/fplbench-board) ·
47
+ [Inspect frozen forecasts](https://github.com/PascalAI2024/fplbench/tree/main/outputs/predictions) ·
48
+ [Read the results](https://github.com/PascalAI2024/fplbench/blob/main/RESULTS.md) ·
49
+ [Inspect the code](https://github.com/PascalAI2024/fplbench) ·
50
+ [View the official team](https://fantasy.premierleague.com/entry/4770634/history)
51
 
52
+ ## Load it in one line
53
 
54
+ ```bash
55
+ pip install -U datasets
56
+ ```
57
 
58
+ ```python
59
+ from datasets import load_dataset
 
60
 
61
+ ds = load_dataset("x0me/fplbench")
62
+ train = ds["train"]
63
+ validation = ds["validation"]
64
+ ```
65
 
66
+ ## Why this dataset exists
67
 
68
+ Fantasy-football models are unusually easy to evaluate badly. A same-gameweek
69
+ statistic can leak the result, a lineup can be revised after the deadline, and
70
+ a single holdout number can quietly become a marketing claim.
71
 
72
+ fplbench publishes a stricter record:
73
 
74
+ - **deadline-safe features** — form statistics are shifted within player and
75
+ season before training;
76
+ - **frozen live forecasts** — the committed pre-deadline file is the artifact
77
+ scored later;
78
+ - **minutes + points + DefCon** — separate heads model whether a player plays,
79
+ expected points, and the current Defensive Contribution rule;
80
+ - **public accountability** — the model's team, weekly score, code, and
81
+ limitations remain linked.
82
 
83
+ <!-- LIVE_SCOREBOARD:START -->
84
+ ## Live record — 2026/27
 
 
 
 
 
 
 
85
 
86
+ Generated by the [fplbench public workflow](https://github.com/PascalAI2024/fplbench/blob/main/.github/workflows/publish-public-surfaces.yml) from the frozen forecast and official FPL actuals. Lower MAE is better.
87
 
88
+ ### Frozen model score — `e_points_final` vs FPL `ep_next`
 
89
 
90
+ No finished gameweek has been scored yet. The workflow publishes the first row only after FPL marks it finished and data-checked.
91
+
92
+ ### Live team — The Leakage-Safe XI
 
 
93
 
94
+ Current captain: **Haaland** · official entry **4770634**
 
95
 
96
+ | GW | points | average | vs average | overall rank |
97
+ | ---: | ---: | ---: | ---: | ---: |
98
+ | 1 (live) | 51 | 36 | +15 | 793,389 |
99
 
100
+ [Open the visual board](https://huggingface.co/spaces/x0me/fplbench-board) · [inspect the committed forecast](https://github.com/PascalAI2024/fplbench/tree/main/outputs/predictions) · [view the official team](https://fantasy.premierleague.com/entry/4770634/history)
 
 
 
 
101
 
102
+ _Last refreshed: 2026-08-24 21:16 UTC_
103
+ <!-- LIVE_SCOREBOARD:END -->
104
 
105
+ The repository contains two Parquet splits:
106
 
107
+ | Split | Rows | Seasons | Intended use |
108
+ | --- | ---: | --- | --- |
109
+ | `train` | 109,282 | 2021-22 through 2024-25 | Fit minutes, points, and supporting heads |
110
+ | `validation` | 29,747 | 2025-26 | Held-out season and first full DefCon season |
111
 
112
+ The export contains **139,029 rows and 165 columns**. Live 2026-27 data is not
113
+ a third split; it is fetched and scored by the public weekly workflow.
 
 
 
 
 
114
 
115
+ ## Row and target contract
116
 
117
+ Each row represents one player-fixture observation within an FPL gameweek.
118
+ Double gameweeks therefore contain two rows for a player. Important targets
119
+ include:
120
 
121
  - `minutes`
122
  - `total_points`
123
+ - `defcon_hit` — whether the official positional threshold was met
124
+
125
+ Model features use lagged or rolling forms such as `_l1`, `_r3`, and `_r5`,
126
+ plus a small set of static priors and fixture context. The exact bundled model
127
+ feature list is published in `features.txt`.
128
+
129
+ ## Leakage contract
130
+
131
+ **Never use unshifted `xP` / `xp_scraped` as a model feature.**
132
+
133
+ The vaastav `xP` column reflects FPL's `ep_this` after the gameweek. It is kept
134
+ only as a contaminated comparator. Every performance feature used for fitting
135
+ is shifted inside `(season, player_code)`. Both fixtures in a double gameweek
136
+ receive the same lag values that were known before the first fixture; fixture
137
+ two cannot observe fixture one's result. `manifest.json` records the fixture
138
+ key, schema, row counts, and file hashes.
139
+
140
+ The live score grades the committed `e_points_final` forecast:
141
+
142
+ ```text
143
+ pred_points_decomposed = pred_points * clip(pred_minutes / 90, 0, 1)
144
+ e_points_final = pred_points_decomposed + 2 * pred_defcon
145
+ ```
146
+
147
+ ## Reproducible benchmark evidence
148
+
149
+ The corrected 2025-26 common-mask comparison contains 29,417 rows. These are
150
+ first-party historical holdout results, not independent validation:
151
+
152
+ | Measure | MAE | Boundary |
153
+ | --- | ---: | --- |
154
+ | Published base-points score (`pred_points_decomposed`) | **0.8764** | Held-out season |
155
+ | Rolling last-five baseline | 1.0534 | Same finite-row mask |
156
+ | Scraped post-match `xP` comparator | 1.0683 | Comparator only; never a feature |
157
 
158
+ DefCon holdout interpretation is restricted to gameweeks after the classifier
159
+ training window. The full evidence, masks, charts, and current caveats are in
160
+ the [GitHub repository](https://github.com/PascalAI2024/fplbench).
161
 
162
+ ## Known limitations
163
 
164
+ - GW1 is a cold start with no current-season form.
165
+ - The DefCon classifier currently has one historical rules season.
166
+ - Historical double-gameweek lags are protected; live double-gameweek
167
+ prediction still fails closed with `NotImplementedError`.
168
+ - TabFM appears only as a research comparison under its non-commercial
169
+ license. The public operating path uses LightGBM.
170
+ - Public live results are first-party experimental evidence, not independent
171
+ validation or betting advice.
172
 
173
+ GW1 provenance is explicit: the current file is byte-identical to the
174
+ [original pre-deadline artifact](https://github.com/PascalAI2024/fplbench/commit/4b970a812deb997d32e48f9e48d9520b6a5ab901).
175
+ Git history also preserves a post-deadline overwrite and the
176
+ [explicit restoration](https://github.com/PascalAI2024/fplbench/commit/2981de109ce7b57f8ccc75ed1c011eb16886fc3a).
177
 
178
+ ## Sources and use
 
 
179
 
180
+ - Historical panel: [vaastav/Fantasy-Premier-League](https://github.com/vaastav/Fantasy-Premier-League)
181
+ - Live fixtures, prices, availability, expected points, and actuals: official
182
+ FPL API
183
+ - Scoring rules and underlying player data remain owned by the Premier League
184
+ and its data providers.
185
 
186
+ This export is for research and personal modelling. It is not an official
187
+ Premier League product.
 
188
 
189
+ ## Citation
190
 
191
+ Please cite the upstream historical source when using the panel:
192
 
193
+ > Vaastav Anand, *FPL Historical Dataset*,
194
+ > https://github.com/vaastav/Fantasy-Premier-League
195
 
196
+ For the benchmark implementation and live record, link
197
+ [`PascalAI2024/fplbench`](https://github.com/PascalAI2024/fplbench).
 
features.txt CHANGED
@@ -1,94 +1,100 @@
1
- assists_l1
2
- assists_r3
3
- assists_r5
4
- bonus_l1
5
- bonus_r3
6
- bonus_r5
7
- bps_l1
8
- bps_r3
9
- bps_r5
10
- clean_sheets_l1
11
- clean_sheets_r3
12
- clean_sheets_r5
13
- clearances_blocks_interceptions_l1
14
- clearances_blocks_interceptions_r3
15
- clearances_blocks_interceptions_r5
16
- creativity_l1
17
- creativity_r3
18
- creativity_r5
19
- defcon_count_l1
20
- defcon_count_r3
21
- defcon_count_r5
22
- defcon_hit_l1
23
- defcon_hit_r3
24
- defcon_hit_r5
25
- defensive_contribution_l1
26
- defensive_contribution_r3
27
- defensive_contribution_r5
28
- expected_assists_l1
29
- expected_assists_r3
30
- expected_assists_r5
31
- expected_goals_conceded_l1
32
- expected_goals_conceded_r3
33
- expected_goals_conceded_r5
34
- expected_goals_l1
35
- expected_goals_r3
36
- expected_goals_r5
37
- fdr
38
- goals_conceded_l1
39
- goals_conceded_r3
40
- goals_conceded_r5
41
- goals_scored_l1
42
- goals_scored_r3
43
- goals_scored_r5
44
- gw_in_season
45
- ict_index_l1
46
- ict_index_r3
47
- ict_index_r5
48
- influence_l1
49
- influence_r3
50
- influence_r5
51
- is_new_to_fpl
52
- minutes_l1
53
- minutes_r3
54
- minutes_r5
55
- prior_defcon_hits
56
- prior_defcon_rate
57
- prior_games
58
- prior_minutes
59
- prior_minutes_pg
60
- prior_points
61
- prior_ppg
62
- prior_starts
63
- prior_xa
64
- prior_xg
65
- prior_xg90
66
- recoveries_l1
67
- recoveries_r3
68
- recoveries_r5
69
- red_cards_l1
70
- red_cards_r3
71
- red_cards_r5
72
- saves_l1
73
- saves_r3
74
- saves_r5
75
- selected_l1
76
- selected_r3
77
- selected_r5
78
- starts_l1
79
- starts_r3
80
- starts_r5
81
- tackles_l1
82
- tackles_r3
83
- tackles_r5
84
- threat_l1
85
- threat_r3
86
- threat_r5
87
- total_points_l1
88
- total_points_r3
89
- total_points_r5
90
- value
91
- was_home
92
- yellow_cards_l1
93
- yellow_cards_r3
94
- yellow_cards_r5
 
 
 
 
 
 
 
1
+ assists_l1
2
+ assists_r3
3
+ assists_r5
4
+ bonus_l1
5
+ bonus_r3
6
+ bonus_r5
7
+ bps_l1
8
+ bps_r3
9
+ bps_r5
10
+ clean_sheets_l1
11
+ clean_sheets_r3
12
+ clean_sheets_r5
13
+ clearances_blocks_interceptions_l1
14
+ clearances_blocks_interceptions_r3
15
+ clearances_blocks_interceptions_r5
16
+ corners_and_indirect_freekicks_order
17
+ creativity_l1
18
+ creativity_r3
19
+ creativity_r5
20
+ defcon_count_l1
21
+ defcon_count_r3
22
+ defcon_count_r5
23
+ defcon_hit_l1
24
+ defcon_hit_r3
25
+ defcon_hit_r5
26
+ defensive_contribution_l1
27
+ defensive_contribution_r3
28
+ defensive_contribution_r5
29
+ direct_freekicks_order
30
+ expected_assists_l1
31
+ expected_assists_r3
32
+ expected_assists_r5
33
+ expected_goals_conceded_l1
34
+ expected_goals_conceded_r3
35
+ expected_goals_conceded_r5
36
+ expected_goals_l1
37
+ expected_goals_r3
38
+ expected_goals_r5
39
+ fdr
40
+ goals_conceded_l1
41
+ goals_conceded_r3
42
+ goals_conceded_r5
43
+ goals_scored_l1
44
+ goals_scored_r3
45
+ goals_scored_r5
46
+ gw_in_season
47
+ ict_index_l1
48
+ ict_index_r3
49
+ ict_index_r5
50
+ influence_l1
51
+ influence_r3
52
+ influence_r5
53
+ is_new_to_fpl
54
+ minutes_l1
55
+ minutes_r3
56
+ minutes_r5
57
+ opp_xgc_r5
58
+ opp_xgc_r5_away
59
+ opp_xgc_r5_home
60
+ penalties_order
61
+ prior_defcon_hits
62
+ prior_defcon_rate
63
+ prior_games
64
+ prior_minutes
65
+ prior_minutes_pg
66
+ prior_points
67
+ prior_ppg
68
+ prior_starts
69
+ prior_xa
70
+ prior_xg
71
+ prior_xg90
72
+ recoveries_l1
73
+ recoveries_r3
74
+ recoveries_r5
75
+ red_cards_l1
76
+ red_cards_r3
77
+ red_cards_r5
78
+ saves_l1
79
+ saves_r3
80
+ saves_r5
81
+ selected_l1
82
+ selected_r3
83
+ selected_r5
84
+ starts_l1
85
+ starts_r3
86
+ starts_r5
87
+ tackles_l1
88
+ tackles_r3
89
+ tackles_r5
90
+ threat_l1
91
+ threat_r3
92
+ threat_r5
93
+ total_points_l1
94
+ total_points_r3
95
+ total_points_r5
96
+ value
97
+ was_home
98
+ yellow_cards_l1
99
+ yellow_cards_r3
100
+ yellow_cards_r5
manifest.json ADDED
@@ -0,0 +1,197 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "column_count": 165,
3
+ "columns": [
4
+ "name",
5
+ "position",
6
+ "team",
7
+ "xP",
8
+ "assists",
9
+ "bonus",
10
+ "bps",
11
+ "clean_sheets",
12
+ "creativity",
13
+ "element",
14
+ "fixture",
15
+ "goals_conceded",
16
+ "goals_scored",
17
+ "ict_index",
18
+ "influence",
19
+ "kickoff_time",
20
+ "minutes",
21
+ "opponent_team",
22
+ "own_goals",
23
+ "penalties_missed",
24
+ "penalties_saved",
25
+ "red_cards",
26
+ "round",
27
+ "saves",
28
+ "selected",
29
+ "team_a_score",
30
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