Hapoel IBI Tel Aviv vs Virtus Bologna Prediction · EuroLeague 2026-27 Regular Season · October 21, 2026

Hapoel IBI Tel Aviv

Home
74.6%
VS

Virtus Bologna

Away
25.4%
Regular Season EuroLeague 2026-27

Why the Model Favors Hapoel IBI Tel Aviv

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

Home court +14.3 Hapoel IBI Tel Aviv
Ballhandling, steals & fouls +5.6 Hapoel IBI Tel Aviv
Team strength (Elo & Glicko) +1.3 Hapoel IBI Tel Aviv
Scoring & shooting +0.8 Hapoel IBI Tel Aviv

Starting from an even matchup, these factors move the model to 75% for Hapoel IBI Tel Aviv. 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.

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HOMEHapoel IBI Tel Aviv

PTS17.3 REB6.1 AST3.8 3PM1.3 PIR23.8
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)
PTS6.5 REB2.9 AST3.9 3PM0.8 PIR10.5
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)
PTS13.5 REB2.8 AST4.0 3PM2.3 PIR14.3
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)
PTS13.0 REB4.7 AST0.9 3PM1.1 PIR16.2
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)
PTS10.2 REB6.5 AST0.8 3PM0.0 PIR15.4
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)

AWAYVirtus Bologna

PTS13.5 REB2.3 AST4.7 3PM1.5 PIR11.8
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)
PTS12.9 REB5.1 AST1.2 3PM1.3 PIR11.2
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)
PTS5.9 REB4.9 AST1.0 3PM0.9 PIR7.5
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)
PTS13.2 REB2.5 AST1.9 3PM2.1 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)
PTS6.9 REB4.6 AST0.7 3PM0.0 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)

Starting Five Matchup

1
Elijah Bryant Guard
PTS
17.3
PIR
23.8
REB
6.1
VS
Marcus Carr Guard
PTS
13.5
PIR
11.8
REB
2.3
2
Tomas Satoransky Guard
PTS
6.5
PIR
10.5
REB
2.9
VS
Wendell Moore Guard
PTS
12.9
PIR
11.2
REB
5.1
3
Vasilije Micic Guard
PTS
13.5
PIR
14.3
REB
2.8
VS
Kessler Edwards Forward
PTS
5.9
PIR
7.5
REB
4.9
4
Zach Leday Forward
PTS
13.0
PIR
16.2
REB
4.7
VS
Derrick Alston Jr. Forward
PTS
13.2
PIR
9.6
REB
2.5
5
Dan Oturu Center
PTS
10.2
PIR
15.4
REB
6.5
VS
Mouhamet Diouf Center
PTS
6.9
PIR
7.4
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

Hapoel IBI Tel Aviv is favored at home, with a 75% win probability. The forecast points to an advantage built chiefly on its home setting and the possession-related matchup, rather than a large gap in team rating.

Total Points & Spread Analysis

The expected total is 181 points, a high-scoring outlook for the matchup. Hapoel is projected to win by 7, making the hosts clear favorites while leaving room for a competitive game if Virtus keeps pace offensively.

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

Total Points · expected 180.9

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

Spread (Hapoel IBI Tel Aviv − Virtus Bologna) · expected +7.0

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

ELO Rating Trends

Both teams’ ratings are rising sharply over the last five games, up 59 points for Hapoel and 58 for Virtus.

Hapoel IBI Tel Aviv

+69 +75 over last 5 games

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

Virtus Bologna

+18 +43 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

Home court is the clearest separator in the projection, with Hapoel also receiving support from the ballhandling, steals and fouls matchup. In practical terms, the forecast expects the hosts to manage possessions more cleanly and gain chances through pressure while avoiding costly fouls. Their season ratings are close enough that these game-level advantages matter more than a broad strength gap.

Elijah Bryant is projected for 17 points and a 23.8 PIR, giving Hapoel its strongest all-around scoring profile. Vasilije Micic is projected for 14 points and 4 assists as another creator. Virtus can answer with Marcus Carr, projected for 14 points and 5 assists, and Derrick Alston Jr., projected for 13 points and 2 threes. Both teams are 4-2, but Hapoel has two wins in its last three, while Virtus has won three straight.

Final Prediction

Virtus can swing the game by protecting the ball and forcing turnovers of its own. If Carr controls the possession battle, Hapoel’s main matchup advantage shrinks.

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