Virtus Bologna vs Zalgiris Kaunas Prediction · EuroLeague 2026-27 Regular Season · October 28, 2026

Virtus Bologna

Home
63.3%
VS

Zalgiris Kaunas

Away
36.7%
Regular Season EuroLeague 2026-27

Why the Model Favors Virtus Bologna

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

Home court +14.2 Virtus Bologna
Team strength (Elo & Glicko) +3.1 Virtus Bologna
Rebounding & paint presence +1.9 Virtus Bologna
Scoring & shooting +1.3 Zalgiris Kaunas
Ballhandling, steals & fouls +1.0 Zalgiris Kaunas

Starting from an even matchup, these factors move the model to 63% for Virtus Bologna. 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.

HOMEVirtus Bologna

PTS13.8 REB2.5 AST5.3 3PM1.6 PIR13.9
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)
PTS13.3 REB4.7 AST1.6 3PM1.5 PIR12.5
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)
PTS6.1 REB5.0 AST1.2 3PM1.1 PIR8.6
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)
PTS13.4 REB2.8 AST2.2 3PM2.4 PIR10.8
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)
PTS7.1 REB4.8 AST0.7 3PM0.0 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)

AWAYZalgiris Kaunas

PTS15.5 REB2.1 AST3.1 3PM2.8 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)
PTS7.7 REB2.1 AST3.9 3PM0.8 PIR8.7
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)
PTS6.2 REB3.7 AST1.0 3PM1.1 PIR7.8
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)
PTS4.8 REB3.7 AST0.7 3PM0.2 PIR7.0
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)
PTS11.3 REB7.0 AST1.7 3PM0.2 PIR15.0
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
Marcus Carr Guard
PTS
13.8
PIR
13.9
REB
2.5
VS
Carsen Edwards Guard
PTS
15.5
PIR
11.4
REB
2.1
2
Wendell Moore Guard
PTS
13.3
PIR
12.5
REB
4.7
VS
Saben Lee Guard
PTS
7.7
PIR
8.7
REB
2.1
3
Kessler Edwards Forward
PTS
6.1
PIR
8.6
REB
5.0
VS
Dustin Sleva Forward
PTS
6.2
PIR
7.8
REB
3.7
4
Derrick Alston Jr. Forward
PTS
13.4
PIR
10.8
REB
2.8
VS
Arnas Butkevicius Forward
PTS
4.8
PIR
7.0
REB
3.7
5
Mouhamet Diouf Center
PTS
7.1
PIR
9.0
REB
4.8
VS
Jonas Valanciunas Center
PTS
11.3
PIR
15.0
REB
7.0
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

Virtus Bologna is favored to beat Zalgiris Kaunas, with a 63% win probability. The forecast gives the home side the advantage, though it does not point to a runaway result.

Total Points & Spread Analysis

The projected total is 173 points, suggesting a game with plenty of scoring. Virtus is expected to win by 6 points, a margin that leaves room for 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 172.7

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

Spread (Virtus Bologna − Zalgiris Kaunas) · expected +6.2

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

ELO Rating Trends

Virtus’ rating is rising, up 33 points over its last five games, while Zalgiris’ is falling, down 13.

Virtus Bologna

-23 -35 over last 5 games

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

Zalgiris Kaunas

+25 +19 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

Virtus Bologna

0-1 in last 1
L
OpponentPFPADiff
Hapoel IBI Tel Aviv 81 90 -9

Zalgiris Kaunas

1-0 in last 1
W
OpponentPFPADiff
LDLC ASVEL Villeurbanne 105 85 +20

Game Analysis

Home court is the clearest separator, with the rating advantage and Virtus’ rebounding and paint presence adding support. That points to Bologna having chances to win the possession battle and pressure Zalgiris near the basket. Zalgiris has smaller model advantages in shooting and ballhandling, giving it routes to keep pace.

Marcus Carr is projected for 13.8 points and 5.3 assists, offering Virtus both scoring and playmaking from the lead guard spot. Zalgiris’ Jonas Valanciunas is projected for 11.3 points and 7 rebounds, while Carsen Edwards’ 15.5-point projection makes his scoring an important counter. Zalgiris will need those guards to make its shooting and ballhandling advantages count, especially if Virtus controls the glass.

Final Prediction

Zalgiris could change the shape of the game if Valanciunas controls the rebounds and Edwards’ perimeter scoring makes Virtus defend farther from the basket.

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