Central SC form, results and statistics

Central SC at a glance

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Form and goals analysis

Central SC have played 12 matches in our results archive between 12 Apr 2026 and 18 Oct 2026, most of them in the Serie D (Brazil). They won 4, drew 4 and lost 4, scoring 9 goals and conceding 9 — 0.75 scored and 0.75 conceded per game.

At home they won 3 of 7 (43%) and averaged 0.86 goals a game; on the road it was 1 wins from 5 (20%) with 0.60 goals a game. Their results hold up broadly the same at home and away.

Both teams scored in 4 of their 12 matches (33%), and 2 (17%) finished with three or more goals. They kept 4 clean sheets (33%) and failed to score in 6 (50%). Their games are usually tight and low-scoring.

Over their most recent 10 matches the record is 3 won, 4 drawn and 3 lost, with 7 goals for and 7 against (1.30 points per game). That is in line with their longer-run average of 1.33 points per game.

Our team-strength model rates Central SC's attack at 0.74 and their defence at 0.69, where 1.00 is an average side in their competition and a lower defence number is better. The attack is below average. The defence concedes clearly less than an average side. Against an average opponent the model expects them to score about 1.01 and concede about 0.65 goals in a home match. The ratings are refitted every night from the last 180 days of results, with recent matches weighted more heavily.

Home and away

Previous PunterPick predictions for Central SC

Each prediction is shown exactly as it was published before kick-off, with the final score once the match was played.

• Porto vs Central SC · 22 Oct 2026, 23:00 UTC · Pernambucano - 1
  Published pick: Double Chance X2

Latest results

How these numbers are calculated

Every figure on this page comes from final scores (90 minutes, extra time excluded) stored in the PunterPick results archive, which covers every competition our data provider reports. Percentages are simple counts over the matches listed; nothing is estimated or filled in. The attack and defence ratings come from our own team-strength model, explained on the methodology page.