Real Madrid vs Fenerbahce Tarfin Istanbul Prediction · EuroLeague 2026-27 Regular Season · October 29, 2026

Real Madrid

Home
64.6%
VS

Fenerbahce Tarfin Istanbul

Away
35.4%
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
Team strength (Elo & Glicko) +3.6 Fenerbahce Tarfin Istanbul
Scoring & shooting +1.7 Real Madrid

Starting from an even matchup, these factors move the model to 65% 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

PTS15.1 REB3.5 AST4.7 3PM1.2 PIR18.5
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)
PTS11.7 REB3.9 AST3.2 3PM1.6 PIR13.1
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)
PTS4.2 REB1.8 AST0.7 3PM0.7 PIR4.6
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)
PTS7.4 REB3.5 AST0.8 3PM0.7 PIR8.4
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)
PTS9.6 REB7.0 AST0.7 3PM0.0 PIR14.8
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)

AWAYFenerbahce Tarfin Istanbul

PTS13.1 REB3.1 AST3.0 3PM1.6 PIR10.9
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)
PTS4.9 REB2.4 AST2.3 3PM0.4 PIR5.7
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)
PTS9.1 REB4.6 AST1.1 3PM0.8 PIR8.8
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)
PTS13.9 REB4.9 AST1.6 3PM1.6 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)
PTS4.5 REB2.5 AST0.7 3PM0.8 PIR4.4
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)

Starting Five Matchup

1
Theo Maledon Guard
PTS
15.1
PIR
18.5
REB
3.5
VS
Talen Horton Tucker Guard
PTS
13.1
PIR
10.9
REB
3.1
2
Andres Feliz Guard
PTS
11.7
PIR
13.1
REB
3.9
VS
Trent Forrest Guard
PTS
4.9
PIR
5.7
REB
2.4
3
Gabriele Procida Forward
PTS
4.2
PIR
4.6
REB
1.8
VS
Braxton Key Forward
PTS
9.1
PIR
8.8
REB
4.6
4
Mikael Jantunen Forward
PTS
7.4
PIR
8.4
REB
3.5
VS
Shavon Shields Forward
PTS
13.9
PIR
12.8
REB
4.9
5
Walter Tavares Center
PTS
9.6
PIR
14.8
REB
7.0
VS
Sertac Sanli Center
PTS
4.5
PIR
4.4
REB
2.5
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

Real Madrid is favored to beat Fenerbahce Tarfin Istanbul, with a 65% chance of winning. Fenerbahce has the better season record at 6-2, but Madrid has won its last three listed games.

Total Points & Spread Analysis

The projected total is 173 points, pointing to a high-scoring game. Madrid is forecast to win by 4 points, a margin that leaves room for a close finish.

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

Total Points · expected 173.2

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

Spread (Real Madrid − Fenerbahce Tarfin Istanbul) · expected +4.3

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

ELO Rating Trends

Both teams’ ratings are rising, with Madrid up 95 points over its last five games and Fenerbahce up 36.

Real Madrid

+106 +89 over last 5 games

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

Fenerbahce Tarfin Istanbul

+51 -5 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

2-0 in last 2
WW
OpponentPFPADiff
Maccabi Rapyd Tel Aviv 113 99 +14
Kosner Baskonia Vitoria-Gasteiz 104 86 +18

Fenerbahce Tarfin Istanbul

1-1 in last 2
WL
OpponentPFPADiff
Olympiacos Piraeus 64 61 +3
Valencia Basket 78 86 -8

Game Analysis

Home court is the strongest influence behind Madrid’s forecast, while Fenerbahce’s stronger team ratings pull the other way. Madrid’s scoring and shooting provide a smaller lift, so efficient offense at home matters against a team the model rates well.

Theo Maledon is projected for 15 points and 4.7 assists, while Walter Tavares is projected for 7 rebounds and a PIR of 14.8. For Fenerbahce, Shavon Shields is projected for 14 points and 4.9 rebounds, and Talen Horton-Tucker for 13 points and 3 assists. Madrid has scored at least 104 in each of its last three listed wins. Fenerbahce’s recent wins were lower-scoring, including a 64-61 result against Olympiacos.

Final Prediction

If Fenerbahce can limit Madrid’s scoring at home, its stronger team ratings could be enough to swing the result.

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