All National League team stats

National League Over/Under Goals Stats 2026/27

National League matches are averaging 3.16 goals this season, with 63% going over 2.5. Southend United matches have been the busiest at 4.06 goals each, Kidderminster Harriers matches the quietest at 2.06.

# Team PAvg goalsOver 1.5Over 2.5Over 3.5Under 2.5
1 Boreham Wood 163.81100%88%50%12%
2 Southend United 164.0694%81%75%19%
3 Harrogate Town 163.5688%81%56%19%
4 Worthing 163.5688%81%50%19%
5 Tamworth 153.8087%80%60%20%
6 Solihull Moors 163.6994%75%50%25%
7 AFC Fylde 163.3894%75%56%25%
8 Altrincham 163.0075%75%31%25%
9 AFC Hornchurch 162.7575%69%19%31%
10 Barrow 153.0087%67%27%33%
11 Forest Green Rovers 143.3693%64%43%36%
12 Carlisle United 163.4488%62%44%38%
13 Yeovil Town 163.4494%62%38%38%
14 Wealdstone 163.2581%62%50%38%
15 Boston United 163.1281%62%38%38%
16 Scunthorpe United 153.2787%60%40%40%
17 Gateshead 152.8773%60%27%40%
18 Halifax Town 163.0081%56%38%44%
19 Woking 163.0669%50%38%50%
20 Hartlepool United 162.8162%50%31%50%
21 Eastleigh 162.7581%44%25%56%
22 Sutton United 162.5688%44%12%56%
23 Aldershot Town 162.3862%38%25%62%
24 Kidderminster Harriers 162.0662%38%19%62%
League average 15.83.1683%63%39%37%

Scroll a table sideways for every column 

National League matches this season only, 16 rounds so far. Sorted by Over 2.5 goals %.

What the over under goals table tells you

Over and under goals tables count how many goals each club's matches produce, with both teams added together. Over 2.5 means three or more goals in the match, under 2.5 means two or fewer.

The 1.5 and 3.5 columns show the extremes. Over 1.5 happens in most matches, so a club well below the pack is involved in unusually few goals. Over 3.5 separates the open, end to end games from the merely lively ones.

Average goals mixes attack and defence: a club can top the list by scoring a lot, conceding a lot, or both. Read it next to the xG and clean sheet tables to see which it is.

Early in the season a couple of high scoring results can move a club's percentages a long way, because each match is a big share of the sample.

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Over/Under Goals Stats in other leagues

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