Maccabi Rapyd Tel Aviv vs Real Madrid Prediction · EuroLeague 2026-27 Regular Season · October 22, 2026

Maccabi Rapyd Tel Aviv

Home
61.7%
VS

Real Madrid

Away
38.3%
Regular Season EuroLeague 2026-27

Why the Model Favors Maccabi Rapyd Tel Aviv

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

Home court +14.3 Maccabi Rapyd Tel Aviv
Team strength (Elo & Glicko) +3.0 Real Madrid
Rebounding & paint presence +2.3 Real Madrid
Ballhandling, steals & fouls +1.8 Real Madrid

Starting from an even matchup, these factors move the model to 62% for Maccabi Rapyd Tel Aviv. 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.

HOMEMaccabi Rapyd Tel Aviv

PTS9.6 REB2.3 AST3.5 3PM1.6 PIR10.3
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)
PTS13.1 REB2.4 AST4.2 3PM1.4 PIR14.9
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)
PTS10.5 REB4.2 AST1.9 3PM0.5 PIR11.6
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)
PTS11.1 REB4.1 AST1.3 3PM1.0 PIR11.4
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)
PTS9.3 REB4.8 AST1.2 3PM1.2 PIR12.7
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)

AWAYReal Madrid

PTS15.4 REB3.7 AST5.0 3PM1.1 PIR20.4
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)
PTS7.7 REB2.2 AST0.9 3PM1.1 PIR6.6
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)
PTS4.3 REB1.9 AST0.8 3PM0.8 PIR4.1
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)
PTS8.3 REB2.7 AST1.6 3PM1.7 PIR7.7
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)
PTS9.9 REB6.7 AST0.8 3PM0.0 PIR14.7
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)

Starting Five Matchup

1
Iffe Lundberg Guard
PTS
9.6
PIR
10.3
REB
2.3
VS
Theo Maledon Guard
PTS
15.4
PIR
20.4
REB
3.7
2
Yam Madar Guard
PTS
13.1
PIR
14.9
REB
2.4
VS
Nick Smith Jr Forward
PTS
7.7
PIR
6.6
REB
2.2
3
Jaylen Hoard Forward
PTS
10.5
PIR
11.6
REB
4.2
VS
Gabriele Procida Forward
PTS
4.3
PIR
4.1
REB
1.9
4
Roman Sorkin Forward
PTS
11.1
PIR
11.4
REB
4.1
VS
Chuma Okeke Center
PTS
8.3
PIR
7.7
REB
2.7
5
O'Shae J Brissett Forward
PTS
9.3
PIR
12.7
REB
4.8
VS
Walter Tavares Center
PTS
9.9
PIR
14.7
REB
6.7
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

Maccabi Rapyd Tel Aviv is favored at home, with a 62% win probability. Yam Madar is projected to help organize the hosts’ offense, while Theo Maledon is Real Madrid’s leading projected scorer.

Total Points & Spread Analysis

The projected total is 179 points, with Maccabi favored by 2. That points to a high-scoring, close game, with little separating the teams in the expected margin.

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

Total Points · expected 178.6

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

Spread (Maccabi Rapyd Tel Aviv − Real Madrid) · expected +2.0

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

ELO Rating Trends

Both ratings are rising: Maccabi is up 24 ELO points over its last five games, while Real Madrid is up 57.

Maccabi Rapyd Tel Aviv

-59 -5 over last 5 games

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

Real Madrid

+64 +98 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

Game Analysis

Home court is the clearest reason the projection leans Maccabi, though Madrid has the stronger rating and advantages in rebounding and paint presence. Tavares is projected for 9.9 points and 6.7 rebounds, giving Madrid a substantial interior presence. Maledon is projected for 15.4 points and 5.0 assists, leading the visitors in scoring and playmaking.

Madrid also rates better in ballhandling, steals and fouls, so Maccabi’s perimeter control could matter. Madar is projected for 13.1 points and 4.2 assists, and his creation can help the hosts keep pace. Madrid has won each of its three listed recent games, while Maccabi has split its last three.

Final Prediction

If Tavares controls the glass and paint, Madrid can overcome the home-court lean. Keeping him from dictating inside could help Maccabi’s narrow projected margin hold.

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