Match intelligence

SC Corinthians SP — Fluminense FC RJ: Win probabilities, 20.09.2026

League: Brasileiro Serie A (Brazil) · Kick-off:

Full time

Final result

× Prediction missed
SC Corinthians SP1
:
3Fluminense FC RJ
Locked signal 1X Probability 75.4% Verdict Miss
Mathematical model

Win probabilities

Outcome probabilities after removing the bookmaker margin

Odds updated
W1 45.9% Home win SC Corinthians SP
X 29.5% Draw
W2 24.6% Away win Fluminense FC RJ
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Market matrix

Markets

Double chance
1X76.6%
Both teams to score
No52.3%
Totals 2.5
Under57.8%

All calculated markets

MarketSelectionProbability
Double chance1X76.6%
1270.5%
X252.9%
Both teams to scoreYes/No47.7% / 52.3%
Totals 0.5 Over/Under 89.3% / 10.7%
Totals 1.5 Over/Under 69.8% / 30.2%
Totals 2.5 Over/Under 42.2% / 57.8%
Totals 3.5 Over/Under 21.5% / 78.5%
Totals 4.5 Over/Under 9.2% / 90.8%
Totals 5.5 Over/Under 3.4% / 96.6%
Goal distribution model

Score probability heatmap

Home goals run vertically; away goals run horizontally

SC Corinthians SP × Fluminense FC RJ
Home↘Away
0
1
2
3
4
5
0
0:0 10.7%
0:1 7.4%
0:2 4.1%
0:3 1.3%
0:4 0.3%
0:5 0.1%
1
1:0 12.0%
1:1 13.9%
1:2 5.9%
1:3 1.8%
1:4 0.4%
1:5 0.1%
2
2:0 9.6%
2:1 9.0%
2:2 4.2%
2:3 1.3%
2:4 0.3%
2:5 0.1%
3
3:0 4.6%
3:1 4.3%
3:2 2.0%
3:3 0.6%
3:4 0.1%
3:5 0.0%
4
4:0 1.6%
4:1 1.5%
4:2 0.7%
4:3 0.2%
4:4 0.1%
4:5 0.0%
5
5:0 0.5%
5:1 0.4%
5:2 0.2%
5:3 0.1%
5:4 0.0%
5:5 0.0%
Most likely scores
1:113.9%
1:012.0%
0:010.7%
2:09.6%
2:19.0%

Odds movement

W1 was 2.20 → now 2.05
X was 3.10 → now 3.20
W2 was 3.70 → now 4.00
✦
AI analysis

Match preview

Model · GPT 5.6 Luna

SC Corinthians SP meet Fluminense FC RJ in Brasileiro Serie A on 20 September 2026, with kickoff scheduled for 19:00 UTC. The available assessment gives SC Corinthians SP a slight edge, and the confidence in that reading is high. It is not a dominant advantage, however, so Fluminense FC RJ remain a credible threat to take something from the match. The 1X signal supports a home win or draw as the main outcome range.

The expected scoring pattern is medium-scoring, although the possibility of a low-event contest is also reflected in the suggested scorelines. Both teams scoring is considered a coin flip, which leaves several plausible scenarios rather than one clear attacking script. The most prominent possibilities are a 1:1 draw, a narrow 1:0 victory for SC Corinthians SP, or a goalless draw. Overall, the balance leans toward the hosts, but the match profile suggests limited separation and a potentially close contest.

Current context

What matters before kick-off

Updated
Team news

Corinthians Team News

Corinthians face Fluminense with several absences: defender Gabriel Paulista has reported pubic discomfort, while Yuri Alberto, Kayke, and Zakaria Labyad remain sidelined due to injuries.

Availability

Fluminense Squad News

Fluminense welcome back midfielder Nonato following his suspension, but Germán Cano and John Kennedy remain unavailable due to injuries, while Guga is rested following a discomfort.

Schedule

Form and Recent Schedule

Corinthians enter the clash seeking to snap a five-match losing streak in Série A following their Copa Libertadores exit, while Fluminense arrive having recently secured progress to the Libertadores semi-finals.

AI collected this context from public sources; it does not change the mathematical probabilities.

Other matches

→ Brasileiro Serie A

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About the method

Prediction questions

We remove the bookmaker margin from market odds, estimate each team’s expected goals and build one matrix of possible scores. Outcomes, totals, both teams to score and likely scores all come from that matrix.

Fair odds are one divided by the probability of the main signal. They are a mathematical reference without bookmaker margin, not an offer from a particular bookmaker.

The official prediction is locked before kick-off and is never rewritten after publication. After the final whistle it is checked against the result and added to the public record.

AI does not calculate or change probabilities. It explains the mathematical output in plain language, and the model used is shown next to the analysis.

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