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Segunda División RFEF - Group 1 statistics and predictions

Season to date: 63 matches since 5 Sep 2026, last updated 23 Oct 2026.

Segunda División RFEF - Group 1 in numbers

63matches
2.83goals / game
38%home wins
22%draws
40%away wins
54%both teams scored
57%over 2.5 goals

Analysis

63 matches have been played in the Segunda División RFEF - Group 1 (Spain) since 5 Sep 2026, averaging 2.83 goals a game. That is close to the average across our archive (3.06 goals a game).

Home sides won 24 (38%), 14 matches were drawn (22%) and away sides won 25 (40%). Home advantage here is weaker than usual. Both teams scored in 54% of matches, 57% went over 2.5 goals, 78% over 1.5, and 4 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Bergantiños (1.77), Deportivo Alavés II (1.66), Arosa (1.41), and the meanest defences as Sestao River (0.50), Eibar II (0.57), Amorebieta (0.62). 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 5 Sep 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
1Bergantiños75201771017
2Deportivo Alavés II75111881016
3Sestao River751183516
4Eibar II7421114714
5Portugalete732277011
6Compostela731387110
7Amorebieta731387110
8Ourense CF731358-310
9Real Oviedo II73131014-410
10Gernika723214869
11Basconia72321112-19
12Coruxo722378-18
13Arosa71421216-47
14Llanera72141016-67
15Atlético Astorga72051011-16
16Marino de Luanco7205813-56
17Gimnástica Torrelavega7124715-85
18Racing Santander II7115714-74

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.