Sunderland Analytics

beyond results

Most sites stop at results, goals and appearances. Here we go deeper — and we're honest about what the data covers.

Build Your Own

pick a metric & grouping

Choose what to measure and how to group it, then view it as a chart or table. Coverage is shown for each metric.

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Home vs Away — All Time

every result on file

At Home

1.85 PPG

Played 2778 · W1481 D695 L602 · 53% won

5137 scored, 2972 conceded

Away

1.05 PPG

Played 2789 · W755 D677 L1357 · 27% won

3439 scored, 4808 conceded

Home (recent)

1.55 PPG

Played 22 · W9 D7 L6 · 41% won

26 scored, 25 conceded

Away (recent)

1.12 PPG

Played 26 · W7 D8 L11 · 27% won

21 scored, 35 conceded

Manager Efficiency

top 5 by PPG
1Tom Watson1888–1896 · 225 games2 ppg62.2%
2Jack Ross2018–2019 · 76 games1.87 ppg50%0 Elo
3Lee Johnson2020–2022 · 84 games1.81 ppg51.2%+1 Elo
4Alex Mackie1899–1905 · 184 games1.71 ppg50.5%
5Alex Neil2022–2022 · 28 games1.64 ppg42.9%+13 Elo

Full manager analytics →

Expected Goals

modern era

Expected goals data is available from ~2014 onward; earlier seasons are not covered.

Attack +ve = clinical (scored more than chances suggest). Defence +ve = conceded fewer than chances allowed.