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Copa Rio statistics and predictions

Season to date: 48 matches since 17 Jun 2026, last updated 22 Oct 2026.

Copa Rio in numbers

48matches
2.17goals / game
42%home wins
38%draws
21%away wins
35%both teams scored
33%over 2.5 goals

Analysis

48 matches have been played in the Copa Rio (Brazil) since 17 Jun 2026, averaging 2.17 goals a game. That is lower-scoring than the average across our archive (3.06 goals a game).

Home sides won 20 (42%), 18 matches were drawn (38%) and away sides won 10 (21%). Home advantage is about typical. Both teams scored in 35% of matches, 33% went over 2.5 goals, 65% over 1.5, and 9 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as SE Belford Roxo (1.43), Resende (1.31), Boavista SC (1.28), and the meanest defences as Boavista SC (0.47), Americano Campos (0.63), Olaria (0.69). A rating of 1.00 is an average side in this competition.

Results table

Calculated from the final scores in our archive since 17 Jun 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
1Boavista SC85211321117
2Sampaio Corrêa RJ852194517
3Nova Iguaçu833276112
4Olaria632192711
5São Gonçalo EC RJ62315419
6Madureira815269-38
7Pérolas Negras421110467
8América RJ42117257
9CFRJ / Maricá42114317
10Resende420211566
11Bonsucesso41306426
12Americano Campos41213305
13Portuguesa RJ41213305
14São Cristóvão RJ20201102
15CEAC / Araruama402216-52
16Serrano RJ201123-11
17Volta Redonda201112-11
18Macaé201112-11
19Bangu201113-21
20Cabofriense201113-21
21Duque de Caxias200206-60
22Goytacaz200206-60
23SE Belford Roxo2002211-90
24Santa Cruz RJ2002110-90

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.