Armani Olimpia Milan vs Zalgiris Kaunas Prediction · EuroLeague 2026-27 Regular Season · November 12, 2026

Armani Olimpia Milan

Home
46.1%
VS

Zalgiris Kaunas

Away
53.9%
Regular Season EuroLeague 2026-27

Why the Model Favors Zalgiris Kaunas

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

Home court +14.1 Armani Olimpia Milan
Team strength (Elo & Glicko) +12.6 Zalgiris Kaunas
Scoring & shooting +3.0 Zalgiris Kaunas
Ballhandling, steals & fouls +2.3 Zalgiris Kaunas
Rebounding & paint presence +1.2 Zalgiris Kaunas

Starting from an even matchup, these factors move the model to 54% for Zalgiris Kaunas. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.

Set it up

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

PTS9.4 REB2.6 AST3.6 3PM1.1 PIR9.7
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)
PTS9.4 REB2.9 AST3.8 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)
PTS7.3 REB2.2 AST1.3 3PM1.7 PIR6.7
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)
PTS8.1 REB4.1 AST1.2 3PM1.1 PIR9.0
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)
PTS11.7 REB6.0 AST1.1 3PM0.3 PIR13.5
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)

AWAYZalgiris Kaunas

PTS15.1 REB2.0 AST3.0 3PM2.6 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)
PTS8.1 REB2.4 AST4.0 3PM0.6 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)
PTS12.0 REB5.0 AST1.3 3PM0.6 PIR13.4
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 REB4.1 AST1.0 3PM0.6 PIR8.1
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)
PTS13.8 REB6.9 AST1.4 3PM0.1 PIR18.3
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)

Starting Five Matchup

1
Rj Cole Guard
PTS
9.4
PIR
9.7
REB
2.6
VS
Carsen Edwards Guard
PTS
15.1
PIR
12.7
REB
2.0
2
Devon Hall Guard
PTS
9.4
PIR
10.3
REB
2.9
VS
Saben Lee Guard
PTS
8.1
PIR
10.1
REB
2.4
3
Garrison Mathews Guard
PTS
7.3
PIR
6.7
REB
2.2
VS
Azuolas Tubelis Forward
PTS
12.0
PIR
13.4
REB
5.0
4
Alec Peters Forward
PTS
8.1
PIR
9.0
REB
4.1
VS
Arnas Butkevicius Forward
PTS
6.0
PIR
8.1
REB
4.1
5
Moses Wright Center
PTS
11.7
PIR
13.5
REB
6.0
VS
Jonas Valanciunas Center
PTS
13.8
PIR
18.3
REB
6.9
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

Zalgiris Kaunas is favored to win, with a 54% probability, despite playing away from home. Milan’s home-court advantage is the strongest force in its favor, but Zalgiris’ team strength and better season record tilt the forecast toward the visitors.

Total Points & Spread Analysis

The projected total of 173 points suggests a game with plenty of scoring, while the expected margin is Zalgiris by three. That narrow gap points to a competitive finish rather than a comfortable win for either side.

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

Total Points · expected 172.8

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

Spread (Armani Olimpia Milan − Zalgiris Kaunas) · expected -3.3

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

ELO Rating Trends

Across the last five games, Milan’s ELO is falling by 48 points, while Zalgiris’ is rising by 106.

Armani Olimpia Milan

-157 -30 over last 5 games

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

Zalgiris Kaunas

+78 +94 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

0-4 in last 4
LLLL
OpponentPFPADiff
FC Barcelona 81 89 -8
Panathinaikos AKTOR Athens 75 80 -5
Olympiacos Piraeus 78 84 -6
Valencia Basket 73 84 -11

Zalgiris Kaunas

4-0 in last 4
WWWW
OpponentPFPADiff
LDLC ASVEL Villeurbanne 105 85 +20
Virtus Bologna 91 74 +17
Partizan Mozzart Bet Belgrade 87 80 +7
Besiktas Istanbul 83 67 +16

Game Analysis

Home court gives Milan a substantial lift, but Zalgiris rates stronger overall, and the supporting edges in scoring and shooting, ball security, and rebounding all point the same way. In practical terms, Zalgiris has more routes to generate offense and keep possessions productive, while Milan needs its venue advantage to offset that broader profile.

The recent results reinforce the contrast: Milan has lost its three listed games, while Zalgiris has won its three. Jonas Valanciunas is projected for 14 points and seven rebounds, giving Zalgiris an interior focal point, and Carsen Edwards is projected for 15 points as its leading scoring threat. Moses Wright is projected for 12 points and six rebounds for Milan, making his work against Valanciunas important on both ends.

Final Prediction

If Wright can limit Valanciunas’ impact on the boards, Milan could turn its home-court boost into the difference. Otherwise, Zalgiris’ advantage inside may decide a close game.

Get EuroLeague predictions on Telegram

Win probabilities, distributions and player projections before every round, straight to your phone.

Join Telegram Channel