Olympiacos Piraeus vs Armani Olimpia Milan Prediction · EuroLeague 2026-27 Regular Season · October 30, 2026

Olympiacos Piraeus

Home
86.4%
VS

Armani Olimpia Milan

Away
13.6%
Regular Season EuroLeague 2026-27

Why the Model Favors Olympiacos Piraeus

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

Team strength (Elo & Glicko) +16.2 Olympiacos Piraeus
Home court +14.2 Olympiacos Piraeus
Scoring & shooting +7.7 Olympiacos Piraeus
Rebounding & paint presence +2.9 Olympiacos Piraeus

Starting from an even matchup, these factors move the model to 86% for Olympiacos Piraeus. 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.

HOMEOlympiacos Piraeus

PTS9.7 REB2.8 AST5.2 3PM1.6 PIR11.7
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)
PTS10.4 REB4.1 AST2.0 3PM1.3 PIR12.2
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)
PTS17.4 REB5.5 AST1.4 3PM1.5 PIR19.4
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)
PTS6.0 REB3.0 AST1.3 3PM0.9 PIR8.0
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)
PTS13.7 REB3.0 AST2.9 3PM2.2 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)

AWAYArmani Olimpia Milan

PTS8.5 REB2.5 AST3.0 3PM0.8 PIR8.3
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)
PTS10.4 REB2.7 AST3.7 3PM1.7 PIR10.4
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)
PTS9.1 REB2.5 AST1.4 3PM1.7 PIR7.4
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)
PTS9.0 REB4.1 AST1.1 3PM1.2 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)
PTS11.0 REB5.4 AST0.9 3PM0.3 PIR13.6
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
Codi Miller-Mcintyre Guard
PTS
9.7
PIR
11.7
REB
2.8
VS
Rj Cole Guard
PTS
8.5
PIR
8.3
REB
2.5
2
Tyson Ward Forward
PTS
10.4
PIR
12.2
REB
4.1
VS
Devon Hall Guard
PTS
10.4
PIR
10.4
REB
2.7
3
Sasha Vezenkov Forward
PTS
17.4
PIR
19.4
REB
5.5
VS
Garrison Mathews Guard
PTS
9.1
PIR
7.4
REB
2.5
4
Kostas Papanikolaou Forward
PTS
6.0
PIR
8.0
REB
3.0
VS
Alec Peters Forward
PTS
9.0
PIR
9.6
REB
4.1
5
Evan Fournier Forward
PTS
13.7
PIR
12.8
REB
3.0
VS
Moses Wright Center
PTS
11.0
PIR
13.6
REB
5.4
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

Olympiacos Piraeus is favored to beat Armani Olimpia Milan, with an 86% win probability. Its stronger rating profile and home court underpin a clear advantage, while Milan enters with a 1-7 record.

Total Points & Spread Analysis

The projection is 187 combined points, suggesting a high-scoring game. Olympiacos is expected to win by 13, a margin that points to a comfortable home victory rather than 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 187.1

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

Spread (Olympiacos Piraeus − Armani Olimpia Milan) · expected +12.7

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

ELO Rating Trends

Over the last five games, Olympiacos’ ELO is rising by 45 points, while Milan’s is falling by 70.

Olympiacos Piraeus

+109 +6 over last 5 games

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

Armani Olimpia Milan

-131 -31 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

Olympiacos Piraeus

1-1 in last 2
LW
OpponentPFPADiff
Fenerbahce Tarfin Istanbul 61 64 -3
Besiktas Istanbul 81 73 +8

Armani Olimpia Milan

0-2 in last 2
LL
OpponentPFPADiff
FC Barcelona 81 89 -8
Panathinaikos AKTOR Athens 75 80 -5

Game Analysis

Team strength and home court are the main separators in the forecast. Olympiacos has won two of its last three, including a 105-100 result against Barcelona, while Milan has lost its last three. The scoring and shooting factor also favors the hosts, with rebounding and paint presence a smaller advantage.

Vezenkov is projected for 17.4 points, the highest scoring figure among the listed Olympiacos starters. Fournier adds a perimeter threat, projected for 13.7 points and 2.2 made threes. For Milan, Wright is projected for 11 points and 5.4 rebounds, giving the visitors a potential inside counter, while Hall is projected for 3.7 assists to help organize the offense.

Final Prediction

Milan’s best route to changing the outlook is for Wright to limit Olympiacos’ advantage on the glass and around the rim. If he cannot, the hosts have the scoring and shooting edge to build the projected separation.

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