Besiktas Istanbul vs Zalgiris Kaunas Prediction · EuroLeague 2026-27 Regular Season · November 6, 2026

Besiktas Istanbul

Home
54.9%
VS

Zalgiris Kaunas

Away
45.1%
Regular Season EuroLeague 2026-27

Why the Model Favors Besiktas Istanbul

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

Home court +14.2 Besiktas Istanbul
Team strength (Elo & Glicko) +4.0 Zalgiris Kaunas
Rebounding & paint presence +1.8 Zalgiris Kaunas
Scoring & shooting +1.2 Zalgiris Kaunas
Ballhandling, steals & fouls +1.0 Zalgiris Kaunas

Starting from an even matchup, these factors move the model to 55% for Besiktas Istanbul. 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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HOMEBesiktas Istanbul

PTS13.0 REB2.9 AST2.3 3PM1.4 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)
PTS7.6 REB2.8 AST1.6 3PM1.6 PIR9.2
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)
PTS10.0 REB2.8 AST2.5 3PM1.0 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)
PTS6.5 REB4.2 AST0.8 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)
PTS8.3 REB4.7 AST1.1 3PM0.0 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)

AWAYZalgiris Kaunas

PTS15.8 REB2.0 AST2.8 3PM2.7 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)
PTS7.0 REB2.2 AST3.7 3PM0.6 PIR9.5
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)
PTS11.8 REB5.3 AST1.6 3PM0.7 PIR13.1
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)
PTS5.4 REB3.9 AST0.8 3PM0.6 PIR7.2
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)
PTS13.9 REB7.2 AST1.8 3PM0.2 PIR17.9
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)

Starting Five Matchup

1
Jaylen Nowell Guard
PTS
13.0
PIR
11.9
REB
2.9
VS
Carsen Edwards Guard
PTS
15.8
PIR
12.8
REB
2.0
2
Anthony Brown Forward
PTS
7.6
PIR
9.2
REB
2.8
VS
Saben Lee Guard
PTS
7.0
PIR
9.5
REB
2.2
3
Eugene Omoruyi Center
PTS
10.0
PIR
10.5
REB
2.8
VS
Azuolas Tubelis Forward
PTS
11.8
PIR
13.1
REB
5.3
4
Wenyen Gabriel Center
PTS
6.5
PIR
9.0
REB
4.2
VS
Arnas Butkevicius Forward
PTS
5.4
PIR
7.2
REB
3.9
5
Ante Zizic Center
PTS
8.3
PIR
12.2
REB
4.7
VS
Jonas Valanciunas Center
PTS
13.9
PIR
17.9
REB
7.2
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

Besiktas Istanbul is favoured to win at home, with a 55% win probability. The slight lean comes despite Zalgiris’ stronger season record and recent results.

Total Points & Spread Analysis

The projected total is 169 points, pointing to a moderately high-scoring game. Besiktas is forecast to win by 1 point, so the numbers suggest 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 169.0

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

Spread (Besiktas Istanbul − Zalgiris Kaunas) · expected +1.2

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

ELO Rating Trends

Besiktas’ rating is falling, down 10 points over its last five games, while Zalgiris is rising, up 32.

Besiktas Istanbul

-51 -56 over last 5 games

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

Zalgiris Kaunas

+69 +105 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

Besiktas Istanbul

1-2 in last 3
LLW
OpponentPFPADiff
Anadolu Efes Istanbul 80 89 -9
Olympiacos Piraeus 73 81 -8
Virtus Bologna 103 101 +2

Zalgiris Kaunas

3-0 in last 3
WWW
OpponentPFPADiff
LDLC ASVEL Villeurbanne 105 85 +20
Virtus Bologna 91 74 +17
Partizan Mozzart Bet Belgrade 87 80 +7

Game Analysis

Home court is the strongest factor in Besiktas’ favour, countering Zalgiris’ advantage in team strength. Zalgiris also has the model’s lean in rebounding and paint presence, scoring and shooting, and ballhandling, steals and fouls. Its three straight recent wins contrast with Besiktas’ mixed run, which includes two losses in its last three.

Jonas Valanciunas is projected for 13.9 points and 7.2 rebounds, giving Zalgiris a significant presence inside. Carsen Edwards’ projected 15.8 points and 2.7 threes add a perimeter scoring threat. For Besiktas, Jaylen Nowell is projected for 13 points, making his scoring important in a matchup where the home side’s projected margin is narrow.

Final Prediction

If Valanciunas and Zalgiris control the glass and paint, they can overcome Besiktas’ home-court advantage and turn a one-point forecast into an away win.

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