Armani Olimpia Milan vs Valencia Basket Prediction · EuroLeague 2026-27 Regular Season · November 5, 2026

Armani Olimpia Milan

Home
47.5%
VS

Valencia Basket

Away
52.5%
Regular Season EuroLeague 2026-27

Why the Model Favors Valencia Basket

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

Home court +14.2 Armani Olimpia Milan
Team strength (Elo & Glicko) +11.7 Valencia Basket
Scoring & shooting +4.0 Valencia Basket
Ballhandling, steals & fouls +3.4 Valencia Basket

Starting from an even matchup, these factors move the model to 52% for Valencia Basket. 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.

HOMEArmani Olimpia Milan

PTS10.1 REB2.5 AST3.6 3PM1.2 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)
PTS10.3 REB3.6 AST3.1 3PM1.2 PIR10.1
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)
PTS11.5 REB2.8 AST3.9 3PM1.8 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)
PTS9.4 REB4.0 AST1.2 3PM1.3 PIR10.0
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)
PTS12.9 REB6.1 AST1.3 3PM0.3 PIR14.6
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)

AWAYValencia Basket

PTS16.8 REB2.6 AST4.9 3PM0.7 PIR18.4
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)
PTS13.9 REB3.8 AST1.6 3PM2.8 PIR11.9
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)
PTS11.5 REB4.3 AST2.0 3PM1.4 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)
PTS6.7 REB3.5 AST1.4 3PM1.7 PIR7.9
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)
PTS7.4 REB5.1 AST0.8 3PM0.0 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)

Starting Five Matchup

1
Rj Cole Guard
PTS
10.1
PIR
10.3
REB
2.5
VS
Tj Shorts Guard
PTS
16.8
PIR
18.4
REB
2.6
2
Leandro Bolmaro Guard
PTS
10.3
PIR
10.1
REB
3.6
VS
Armoni Brooks Guard
PTS
13.9
PIR
11.9
REB
3.8
3
Devon Hall Guard
PTS
11.5
PIR
11.6
REB
2.8
VS
Kameron Taylor Forward
PTS
11.5
PIR
11.4
REB
4.3
4
Alec Peters Forward
PTS
9.4
PIR
10.0
REB
4.0
VS
Dylan Osetkowski Forward
PTS
6.7
PIR
7.9
REB
3.5
5
Moses Wright Center
PTS
12.9
PIR
14.6
REB
6.1
VS
Neal Sako Center
PTS
7.4
PIR
11.0
REB
5.1
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

Valencia Basket is favored to win, with a 53% probability, though Armani Olimpia Milan’s home court keeps the call close. The visitors’ stronger season record and rating trend support the narrow preference.

Total Points & Spread Analysis

The projected total is 182 points, suggesting a high-scoring game. Valencia is expected to win by 2 points, so the numbers point to 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 182.1

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

Spread (Armani Olimpia Milan − Valencia Basket) · expected -2.4

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

ELO Rating Trends

Milan’s ELO is falling, down 48 points over its last five games, while Valencia’s is rising, up 5.

Armani Olimpia Milan

-148 -48 over last 5 games

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

Valencia Basket

+76 +46 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

Armani Olimpia Milan

0-3 in last 3
LLL
OpponentPFPADiff
FC Barcelona 81 89 -8
Panathinaikos AKTOR Athens 75 80 -5
Olympiacos Piraeus 78 84 -6

Valencia Basket

2-1 in last 3
WWL
OpponentPFPADiff
Paris Basketball 104 93 +11
Fenerbahce Tarfin Istanbul 86 78 +8
FC Barcelona 94 98 -4

Game Analysis

Home court is Milan’s strongest counterweight, but Valencia’s advantage in team ratings is larger. The model also favors Valencia in scoring and shooting, as well as ballhandling, steals and fouls, pointing to an edge in creating and protecting possessions.

Milan has lost each of its three listed recent games, while Valencia has won two of its last three. T.J. Shorts is projected for 17 points and 5 assists, making him a central scorer and creator for Valencia. Armoni Brooks is projected for 14 points and 3 three-pointers. For Milan, Moses Wright is projected for 13 points and 6 rebounds, while Devon Hall is projected for 12 points and 4 assists.

Final Prediction

If Milan can limit Shorts’ scoring and playmaking, its home-court advantage could be enough to turn a narrow projected deficit into a win.

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