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Oberliga - Bayern Nord statistics and predictions

Season to date: 135 matches since 15 Jul 2026, last updated 22 Oct 2026.

Oberliga - Bayern Nord in numbers

135matches
3.17goals / game
36%home wins
25%draws
39%away wins
59%both teams scored
61%over 2.5 goals

Analysis

135 matches have been played in the Oberliga - Bayern Nord (Germany) since 15 Jul 2026, averaging 3.17 goals a game. That is close to the average across our archive (3.06 goals a game).

Home sides won 49 (36%), 34 matches were drawn (25%) and away sides won 52 (39%). Home advantage here is weaker than usual. Both teams scored in 59% of matches, 61% went over 2.5 goals, 80% over 1.5, and 6 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Fortuna Regensburg (1.21), Jahn Regensburg II (1.20), Bayern Hof (1.18), and the meanest defences as Cham (0.60), Eintracht Bamberg (0.86), Stadeln (0.89). A rating of 1.00 is an average side in this competition.

Recent and upcoming PunterPick predictions

Results table

Calculated from the final scores in our archive since 15 Jul 2026. This is not the official table — it applies no points deductions or tie-break rules, and for cup competitions it simply totals results across rounds.

#TeamPWDLGFGAGDPts
1Cham1513113492540
2Eintracht Bamberg1584327141328
3Würzburger FV158432819928
4Kornburg1576227141327
5Jahn Regensburg II1575334231126
6Bayern Hof1575334241026
7Gebenbach158252423126
8Fortuna Regensburg156453324922
9Viktoria Aschaffenburg156452721622
10Stadeln155641821-321
11Neudrossenfeld156182125-419
12Großbardorf155191927-816
13Ammerthal154381829-1115
14Weiden153572231-914
15Ingolstadt II153482130-913
16Nordlingen152581532-1711
17DJK Bamberg152581532-1711
18ASV Neumarkt1513111130-196

About these statistics

The figures above are counts over final scores (90 minutes) in the PunterPick results archive. Nothing is estimated: a match only counts once its final score is in. Team links lead to each side's own form, home and away record and the predictions we have published for them. How we build our predictions is explained on the methodology page.