Real Madrid vs Crvena Zvezda Meridianbet Belgrade Prediction · EuroLeague 2026-27 Regular Season · November 12, 2026

Real Madrid

Home
68.5%
VS

Crvena Zvezda Meridianbet Belgrade

Away
31.5%
Regular Season EuroLeague 2026-27

Why the Model Favors Real Madrid

The factors that drove this prediction, measured in win-probability points.

Home court +14.2 Real Madrid
Scoring & shooting +6.5 Real Madrid
Team strength (Elo & Glicko) +2.3 Crvena Zvezda Meridianbet Belgrade
Ballhandling, steals & fouls +1.5 Real Madrid

Starting from an even matchup, these factors move the model to 68% for Real Madrid. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

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Player Projections

Per-player expected lines and full probability distributions, including PIR, EuroLeague's signature box-score metric. Click a player to view their full distributions.

Predixsport model projections, not official data or a report of any club's intended lineup. Not affiliated with Euroleague Basketball. Privacy policy.

HOMEReal Madrid

PTS16.4 REB3.5 AST5.0 3PM1.3 PIR20.6
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS13.5 REB3.0 AST3.7 3PM1.8 PIR15.1
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS5.5 REB2.0 AST0.9 3PM1.0 PIR7.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS7.0 REB3.3 AST1.0 3PM0.7 PIR9.7
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS10.3 REB6.7 AST0.8 3PM0.0 PIR15.7
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)

AWAYCrvena Zvezda Meridianbet Belgrade

PTS10.7 REB2.6 AST5.2 3PM1.4 PIR12.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS9.7 REB2.4 AST2.7 3PM1.9 PIR9.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS15.6 REB5.1 AST2.1 3PM1.7 PIR15.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS10.8 REB4.4 AST1.5 3PM1.4 PIR12.3
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS8.5 REB4.9 AST0.8 3PM0.2 PIR10.5
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)

Starting Five Matchup

1
Theo Maledon Guard
PTS
16.4
PIR
20.6
REB
3.5
VS
Chris Jones Guard
PTS
10.7
PIR
12.4
REB
2.6
2
Andres Feliz Guard
PTS
13.5
PIR
15.1
REB
3.0
VS
Tyson Carter Guard
PTS
9.7
PIR
9.4
REB
2.4
3
Gabriele Procida Forward
PTS
5.5
PIR
7.4
REB
2.0
VS
Jordan Nwora Forward
PTS
15.6
PIR
15.4
REB
5.1
4
Mikael Jantunen Forward
PTS
7.0
PIR
9.7
REB
3.3
VS
Chima Moneke Forward
PTS
10.8
PIR
12.3
REB
4.4
5
Walter Tavares Center
PTS
10.3
PIR
15.7
REB
6.7
VS
Christian Koloko Center
PTS
8.5
PIR
10.5
REB
4.9
1-5 = projected starter slot, the order the model expects the five to be named · PTS = Projected Points · PIR = Performance Index Rating (all-round impact) · REB = Projected Rebounds

Key Prediction Insights

Real Madrid is favored to beat Crvena Zvezda Meridianbet Belgrade, with a 69% win probability. The home side’s advantage comes despite Zvezda’s better season record and slightly higher team-strength ratings.

Total Points & Spread Analysis

The projected total is 172 points, pointing to a relatively high-scoring game. Madrid is forecast to win by eight, a meaningful cushion but not a runaway.

Full probability curves from our Poisson (total) and Negative-Binomial (spread) models: both the distribution (PDF) and the cumulative probability (CDF).

Total Points · expected 171.8

Distribution (PDF)
Cumulative Probability: P(≤ X)

Spread (Real Madrid − Crvena Zvezda Meridianbet Belgrade) · expected +7.9

Distribution (PDF)
Cumulative Probability: P(≤ X)

ELO Rating Trends

Both teams’ ratings are rising, with Madrid up 51 points and Zvezda up 43 over their last five games.

Real Madrid

+108 +44 over last 5 games

Season-relative ELO (0 = league-average team; resets each season).

Crvena Zvezda Meridianbet Belgrade

+66 +33 over last 5 games

Season-relative ELO (0 = league-average team; resets each season).

EuroLeague ELO Power Rankings

See how every team stacks up: full ELO ratings, recent form and the season progression chart.

View Full ELO Ratings

Recent Form: Last 5 Games

Real Madrid

3-1 in last 4
WWWL
OpponentPFPADiff
Maccabi Rapyd Tel Aviv 113 99 +14
Kosner Baskonia Vitoria-Gasteiz 104 86 +18
Fenerbahce Tarfin Istanbul 95 76 +19
Panathinaikos AKTOR Athens 112 115 -3

Crvena Zvezda Meridianbet Belgrade

3-1 in last 4
LWWW
OpponentPFPADiff
Partizan Mozzart Bet Belgrade 82 85 -3
Maccabi Rapyd Tel Aviv 100 78 +22
FC Bayern Munich 103 73 +30
Olympiacos Piraeus 62 57 +5

Game Analysis

Home court is the strongest influence on the forecast, while Madrid’s scoring and shooting projections provide another advantage. The team-strength ratings lean slightly toward Zvezda, but not enough to offset those factors. Madrid also has a smaller projected benefit in ballhandling, steals and fouls, which could help it manage possessions and avoid giving away opportunities.

Theo Maledon is projected for 16 points and five assists, giving Madrid a primary scoring and playmaking option. Jordan Nwora is projected for 16 points and five rebounds for Zvezda, making his scoring a central counter. Zvezda has won its three most recent listed games, while Madrid has won two of its last three, with its latest outing a narrow loss to Panathinaikos.

Final Prediction

If Zvezda can limit Maledon’s scoring while keeping Nwora productive, its slight team-strength advantage could matter more than Madrid’s home-court boost. Otherwise, the forecast points to Madrid turning its home setting and scoring edge into separation.

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