Paris Basketball vs Valencia Basket Prediction · EuroLeague 2026-27 Regular Season · October 23, 2026

Paris Basketball

Home
54.8%
VS

Valencia Basket

Away
45.2%
Regular Season EuroLeague 2026-27

Why the Model Favors Paris Basketball

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

Home court +14.2 Paris Basketball
Scoring & shooting +6.2 Valencia Basket
Team strength (Elo & Glicko) +5.2 Valencia Basket
Ballhandling, steals & fouls +4.7 Valencia Basket

Starting from an even matchup, these factors move the model to 55% for Paris Basketball. 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.

HOMEParis Basketball

PTS21.5 REB2.8 AST4.1 3PM2.3 PIR22.1
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
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Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS8.4 REB2.0 AST2.4 3PM2.4 PIR8.0
Distribution (PDF)
Cumulative Probability: P(Points > X)
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Cumulative Probability: P(Rebounds > X)
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Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
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Cumulative Probability: P(PIR > X)
PTS14.9 REB2.4 AST3.8 3PM3.6 PIR14.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
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Cumulative Probability: P(Rebounds > X)
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Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
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Cumulative Probability: P(PIR > X)
PTS13.4 REB3.7 AST1.8 3PM1.7 PIR13.6
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
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Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS6.7 REB5.1 AST0.9 3PM0.0 PIR11.3
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)

AWAYValencia Basket

PTS16.1 REB2.3 AST5.1 3PM0.5 PIR17.6
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)
PTS10.7 REB2.9 AST1.7 3PM2.4 PIR10.2
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)
PTS12.1 REB4.8 AST2.3 3PM1.4 PIR12.9
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
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Cumulative Probability: P(3-Pointers Made > X)
Distribution (PDF)
Cumulative Probability: P(PIR > X)
PTS6.7 REB4.1 AST1.0 3PM1.7 PIR9.2
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 REB4.6 AST0.7 3PM0.0 PIR9.9
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)

Starting Five Matchup

1
Nadir Hifi Guard
PTS
21.5
PIR
22.1
REB
2.8
VS
Tj Shorts Guard
PTS
16.1
PIR
17.6
REB
2.3
2
Sebastian Herrera Guard
PTS
8.4
PIR
8.0
REB
2.0
VS
Armoni Brooks Guard
PTS
10.7
PIR
10.2
REB
2.9
3
Tyson Etienne Guard
PTS
14.9
PIR
14.4
REB
2.4
VS
Kameron Taylor Forward
PTS
12.1
PIR
12.9
REB
4.8
4
Tj Warren Forward
PTS
13.4
PIR
13.6
REB
3.7
VS
Dylan Osetkowski Forward
PTS
6.7
PIR
9.2
REB
4.1
5
Mouhamed Faye Center
PTS
6.7
PIR
11.3
REB
5.1
VS
Neal Sako Center
PTS
5.5
PIR
9.9
REB
4.6
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

Paris Basketball is the narrow model choice, with a 55% win probability despite Valencia's stronger season start. Nadir Hifi's projected scoring gives the hosts an individual route to make up ground.

Total Points & Spread Analysis

The game projects to 180 combined points, pointing to a high-scoring contest. The expected margin rounds to zero, with Valencia ahead by a fraction before rounding, so the forecast is essentially level.

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

Total Points · expected 179.9

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

Spread (Paris Basketball − Valencia Basket) · expected -0.3

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

ELO Rating Trends

Paris' ELO has fallen 22 points over its last five games, while Valencia's has been broadly flat, down three.

Paris Basketball

-98 -46 over last 5 games

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

Valencia Basket

+54 -24 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

The model leans most on Paris' home court, which offsets Valencia's advantages in scoring and shooting, team strength, and ballhandling, steals and fouls. In basketball terms, Valencia has the stronger profile in scoring and winning possessions, while Paris needs to make its home-court advantage count. Paris has also lost its last three games, with two decided by two points.

Nadir Hifi is projected for 22 points and a PIR of 22.1, making his scoring central to Paris' chances. Valencia's Tj Shorts is projected for 16 points and five assists, giving the visitors a leading scorer and playmaker to counter him.

Final Prediction

The result could turn on whether Hifi's scoring can offset Valencia's advantage in the possession battle.

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