Home › League stats › Serie C

Brazil

Serie C statistics and predictions

Season to date: 205 matches since 11 Apr 2026, last updated 22 Oct 2026.

Serie C in numbers

205matches
2.26goals / game
46%home wins
29%draws
25%away wins
48%both teams scored
40%over 2.5 goals

Analysis

205 matches have been played in the Serie C (Brazil) since 11 Apr 2026, averaging 2.26 goals a game. That is lower-scoring than the average across our archive (3.06 goals a game).

Home sides won 94 (46%), 60 matches were drawn (29%) and away sides won 51 (25%). Home advantage is about typical. Both teams scored in 48% of matches, 40% went over 2.5 goals, 66% over 1.5, and 19 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Guarani Campinas (1.57), Brusque (1.31), Paysandu (1.25), and the meanest defences as Santa Cruz (0.62), Ferroviária (0.68), Figueirense (0.68). 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 11 Apr 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
1Ferroviária25119531201142
2Maringá2510963631539
3Santa Cruz2410772418637
4Inter De Limeira2491053229337
5Brusque249963631536
6Botafogo PB2410592924535
7Floresta248882325-232
8Paysandu2494113035-531
9Ypiranga-RS188462623328
10Guarani Campinas1876533231027
11Figueirense187651821-327
12Maranhão187561817126
13Caxias186751614225
14Amazonas186572023-323
15Barra185672120121
16Volta Redonda186391324-1121
17Anápolis185491720-319
18Ituano185491621-519
19AO Itabaiana184591426-1217
20Confiança1834111119-813

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.