Crvena Zvezda Meridianbet Belgrade vs FC Bayern Munich Prediction · EuroLeague 2026-27 Regular Season · October 29, 2026

Crvena Zvezda Meridianbet Belgrade

Home
71.0%
VS

FC Bayern Munich

Away
29.0%
Regular Season EuroLeague 2026-27

Why the Model Favors Crvena Zvezda Meridianbet Belgrade

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

Home court +14.2 Crvena Zvezda Meridianbet Belgrade
Team strength (Elo & Glicko) +9.4 Crvena Zvezda Meridianbet Belgrade
Scoring & shooting +4.7 FC Bayern Munich
Rebounding & paint presence +3.4 Crvena Zvezda Meridianbet Belgrade
Ballhandling, steals & fouls +3.1 Crvena Zvezda Meridianbet Belgrade

Starting from an even matchup, these factors move the model to 71% for Crvena Zvezda Meridianbet Belgrade. 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.

HOMECrvena Zvezda Meridianbet Belgrade

PTS11.9 REB2.4 AST5.9 3PM1.2 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)
PTS12.3 REB2.3 AST2.7 3PM2.0 PIR11.0
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)
PTS6.2 REB2.9 AST1.0 3PM0.3 PIR6.7
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)
PTS11.3 REB4.2 AST1.6 3PM1.0 PIR14.0
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)
PTS11.3 REB4.2 AST1.4 3PM1.3 PIR12.8
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)

AWAYFC Bayern Munich

PTS9.6 REB2.0 AST2.8 3PM2.0 PIR8.7
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)
PTS6.9 REB2.1 AST2.0 3PM0.8 PIR7.1
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)
PTS8.1 REB3.3 AST2.2 3PM0.9 PIR8.1
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)
PTS9.1 REB4.5 AST1.4 3PM0.6 PIR10.6
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)
PTS7.9 REB5.5 AST0.8 3PM0.0 PIR9.6
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)

Starting Five Matchup

1
Chris Jones Guard
PTS
11.9
PIR
15.1
REB
2.4
VS
Andreas Obst Guard
PTS
9.6
PIR
8.7
REB
2.0
2
Jared Butler Guard
PTS
12.3
PIR
11.0
REB
2.3
VS
Kamar Baldwin Guard
PTS
6.9
PIR
7.1
REB
2.1
3
Nikola Djurisic Guard
PTS
6.2
PIR
6.7
REB
2.9
VS
Marjon Beauchamp Forward
PTS
8.1
PIR
8.1
REB
3.3
4
Semi Ojeleye Forward
PTS
11.3
PIR
14.0
REB
4.2
VS
Johannes Thiemann Center
PTS
9.1
PIR
10.6
REB
4.5
5
Chima Moneke Forward
PTS
11.3
PIR
12.8
REB
4.2
VS
Austin Wiley Center
PTS
7.9
PIR
9.6
REB
5.5
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

Crvena Zvezda Meridianbet Belgrade is favored to win, with a 71% probability. Home court and stronger team ratings support the hosts, while Chris Jones is projected to lead their creation.

Total Points & Spread Analysis

The expected total of 168 points points to a game with plenty of scoring. A projected nine-point margin favors Crvena Zvezda, suggesting the home side could build a meaningful cushion.

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

Total Points · expected 167.8

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

Spread (Crvena Zvezda Meridianbet Belgrade − FC Bayern Munich) · expected +8.7

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

ELO Rating Trends

Crvena Zvezda’s rating is rising, up 26 over its last five games, while Bayern’s is falling, down 34.

Crvena Zvezda Meridianbet Belgrade

+62 +27 over last 5 games

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

FC Bayern Munich

-95 -48 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

Crvena Zvezda Meridianbet Belgrade

1-1 in last 2
LW
OpponentPFPADiff
Partizan Mozzart Bet Belgrade 82 85 -3
Maccabi Rapyd Tel Aviv 100 78 +22

FC Bayern Munich

0-2 in last 2
LL
OpponentPFPADiff
Dubai Basketball 91 107 -16
FC Barcelona 84 88 -4

Game Analysis

Home court and stronger Elo and Glicko ratings are the biggest sources of separation for Crvena Zvezda. Its rebounding and paint presence, along with steadier ballhandling, offer further support. Bayern’s advantage in scoring and shooting is the counterweight, giving it a route to make the home side’s task harder.

Crvena Zvezda has won two of its last three, including a 100-78 result against Maccabi, while Bayern have lost all three of their listed recent games. Jones is projected for 12 points and 6 assists, with Chima Moneke projected for 11 points. For Bayern, Andreas Obst is projected for 10 points and 2 threes, while Austin Wiley is projected for 8 points and 6 rebounds.

Final Prediction

Bayern’s shooting will need to make the difference, particularly if Obst’s perimeter scoring can counter Crvena Zvezda’s rebounding and ball control.

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