Football/ Ayush Pawar

Live data · updated weekly

Does the research still hold?

The original analysis is frozen. New seasons are added separately to see whether the patterns continue.

Last updated
5 Oct 2026 · 21:10 IST
Latest match
20 Sep 2026

Frozen

2015/16 — 2024/25

The published research. Never changes.

Live

2025/26 complete · 2026/27 early season

New seasons, estimated the same way and shown beside it.

Partial update

1 2026/27 match not processed in this snapshot (La Liga: raw match file not cached this week).

The weekly run reported 250 2026/27 matches; this snapshot has 249.

2026/27Early season

Season progress · 14% of fixtures played

Matches processed
249
Matches through
20 Sep 2026
Last updated
5 Oct 2026
By league
  • Premier League50/380
  • La Liga68/380
  • Serie A50/380
  • Bundesliga36/306
  • Ligue 145/306

Processed / fixtures · played share from the weekly Understat fetch

Research vs reality

The research made a set of claims. New seasons give us a chance to see whether those claims survive.

Historical baseline · never changesLive season estimate95% intervalComplete Current season Early season

Claim 01 · Home advantage

The research claimedPlaying at home increases attacking output.

+22.0%Early season 2026/27 · xG · home vs away, same player

Historical baseline +26.6% · this season's 95% interval +11 to +34

The 2025/26 home xG effect (+27.1%) is in line with the historical baseline (+26.6%, inside this season's 95% interval). 2026/27 so far (early season): +22.0%, in line with the historical baseline. Provisional — its interval is wide and will narrow as matches are added.

xG home edge · baseline vs live seasons

Historical baseline 2015/16 — 2024/25 (◇) · live seasons with 95% intervals. Live seasons never change the baseline.

All five metrics
Home advantage: baseline and live seasons, five metrics, with 95% intervals
MetricBaseline2025/26Complete2026/27Early season
xG+26.6%+27.1%+23 to +32+22.0%+11 to +34
xA+24.7%+27.0%+22 to +32+17.4%+6 to +30
Shots+21.7%+22.9%+20 to +26+18.1%+11 to +26
Key passes+20.8%+22.3%+19 to +26+14.6%+8 to +22
Goals+23.8%+22.6%+16 to +30+28.7%+9 to +52
Show all historical seasons

The frozen outputs have no season-by-season home estimate — Study 2 split the decade by crowd status instead, so that is what is shown here rather than invented single seasons.

  • With fans, before 2020+27.7%+26 to +30
  • Behind closed doors+11.8%+8 to +16
  • Fans back+24.9%+22 to +28
  • Frozen+26.6%with fans, pooled
  • 2025/26+27.1%complete · +23 to +32
  • 2026/27+22.0%early season · +11 to +34

Study 02 · same player, home ÷ away xG per minute

Claim 02 · Opposition

The research claimedStronger opponents suppress attacking output.

−13.3%Early season 2026/27 · xG · per +1 SD of opponent strength

Historical baseline −13.8% · this season's 95% interval −19 to −7

The 2025/26 opposition effect on xG (−11.4%) is weaker than baseline (−13.8% sits outside this season's 95% interval, −13 to −9). 2026/27 so far (early season): −13.3%, in line with the historical baseline. Provisional — its interval is wide and will narrow as matches are added. Consistency, not proof.

xG opposition effect · baseline vs live seasons

Historical baseline 2015/16 — 2024/25 (◇) · live seasons with 95% intervals. Live seasons never change the baseline.

All five metrics
Opposition: baseline and live seasons, five metrics, with 95% intervals
MetricBaseline2025/26Complete2026/27Early season
xG−13.8%−11.4%−13 to −9−13.3%−19 to −7
xA−15.1%−12.6%−15 to −10−11.3%−17 to −5
Shots−10.4%−10.6%−12 to −9−12.3%−16 to −8
Key passes−11.4%−11.5%−13 to −10−10.3%−14 to −6
Goals−15.8%−13.4%−16 to −10−22.3%−31 to −13
Show all historical seasons

Opposition effect on xG, season by season

Each frozen season (Study 3), the pooled frozen estimate, then the live seasons. 95% intervals.

Single frozen seasons range from −16.1% to −11.8% per SD — the normal year-to-year variation. Live: 2025/26: −11.4%; 2026/27: −13.3%.

Study 03 · per-season models (frozen) · live tracker

Claims 03 – 04 · Player level

Two predictions about individual players

A live season appears here only once the pipeline has re-run the test. The live tests compare a player's frozen-period record with the new season, so the method differs slightly from the frozen test; each row says which.

Claim 03 · Home specialists

Past home edge does not predict future home edge.

  • HistoricalFrozenr = 0.018595 players · raw home ÷ away xG/90 per player, 2015/16–2018/19 vs 2022/23–2024/25 · near zero
  • 2025/26Completer = 0.0111,155 players · frozen-period home edge vs 2025/26 · near zero
  • 2026/27Early seasonNot yet recalculated for the live dataset.Not enough players with a full home and away sample yet.

Study 02 · out-of-sample check (frozen) · live tracker

Claim 04 · Elite opponents

Overall adjusted level predicts elite-opponent output better than past elite-opponent record.

  • HistoricalFrozen0.84 vs 0.752,047 players · odd vs even seasons; elite = top 20% of opponents
  • 2025/26Complete0.76 vs 0.68419 players · frozen-period record vs 2025/26 · overall level higher in 4 of 4 metrics
  • 2026/27Early seasonHistorical result · live validation pendingNot enough elite-opponent minutes yet.

xG correlation with elite-opponent output: overall adjusted level vs past elite record · Study 03 · live tracker

Summary

What's changed?

Historical baseline → 2026/27 (early season)

  • Home xG

    +26.6% to +22.0%

    Early · Broadly stable

    Frozen estimate inside this season's 95% interval

  • Opposition

    −13.8% to −13.3%

    Early · Broadly stable

    Frozen estimate inside this season's 95% interval; inside the range of single frozen seasons (−16.1% to −11.8%)

Labels come from fixed rules, not judgement: broadly stable = the baseline sits inside the season's 95% interval; higher / lower (home) or stronger / weaker (opposition) = it sits outside; insufficient evidence = the interval includes zero; early = the season is in progress.

Frozen research protection

The historical baseline is immutable.

New seasons are evaluated separately and do not change previously published estimates. Every frozen number on this page is read from a fixed manifest; each weekly rebuild recomputes it from the frozen outputs and stops if anything has moved.

Manifest checksum 4dae6a51f310b401 · fixed 6 Oct 2026 · corrections are published in the findings, never applied silently.

Research status

Where each study stands

  • 01Environment
    • Not yet frozen · its own freeze checklist is still open
    • Crowd results final
    • Five-league weather models
    • 1,000-permutation temperature placebo, pooled and per league
    • Final weather conclusion
    • Freeze: git tag, checksum manifest, pinned packages
    Findings updated 6 Oct 2026
  • 02Home advantage
    • Frozen · complete on the frozen 2015/16 — 2024/25 data
    Findings updated 5 Oct 2026
  • 03Opposition
    • Frozen · complete on the frozen 2015/16 — 2024/25 data
    Findings updated 5 Oct 2026
  • 04Similarity
    • Frozen · complete on the frozen 2015/16 — 2024/25 data
    • Known-pairs check pending
    Findings updated 5 Oct 2026
  • 05Transferability
    • Frozen · complete on the frozen 2015/16 — 2024/25 data
    • League-effect improvement planned
    Findings updated 6 Oct 2026

From each study's findings file · open items stay visible until the research closes them

Open questions

What are we investigating next?

  • Temperature

    The small temperature effect survived the placebo check, mostly in Serie A. What does the reviewed final conclusion make of it?

  • Similarity validation

    Do known similar-player pairs behave as expected?

  • Transfer model

    Can a percentage-based league effect improve predictions for low-output central midfielders moving into the Premier League?

From the research's open items · nothing here is a result yet

Update log

This is maintained

  1. Study 1: five-league weather models finished
  2. Study 1: 1,000-permutation temperature placebo, pooled and per league finished
  3. 2026/27 live data updated · matches through 20 Sep 2026
  4. Weekly pipeline run completed
  5. Correction published: Understat's match “forecast” is post-match (never used in any model)
  6. 2025/26 season complete · last match processed

Events recorded by the pipeline (weekly run logs, snapshot timestamp) and dated entries in the findings files

Data provenance

Live data
Updated weekly (Monday pipeline → validation → snapshot → this page)
Frozen baseline
2015/16 — 2024/25
Current seasons
2025/26 · 2026/27
Odds
market-average closing (AvgCH/AvgCD/AvgCA) for live seasons; correlation with the frozen ratings 0.9997 on 10,705 matches
Sources
Understat · football-data.co.uk (pre-match odds) · fixturedownload.com · openfootball

How the research works