Partizan Mozzart Bet Belgrade vs Kosner Baskonia Vitoria-Gasteiz Prediction · EuroLeague 2026-27 Regular Season · November 11, 2026

Partizan Mozzart Bet Belgrade

Home
81.2%
VS

Kosner Baskonia Vitoria-Gasteiz

Away
18.9%
Regular Season EuroLeague 2026-27

Why the Model Favors Partizan Mozzart Bet Belgrade

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

Home court +14.3 Partizan Mozzart Bet Belgrade
Team strength (Elo & Glicko) +11.9 Partizan Mozzart Bet Belgrade
Ballhandling, steals & fouls +4.5 Partizan Mozzart Bet Belgrade
Scoring & shooting +0.7 Partizan Mozzart Bet Belgrade

Starting from an even matchup, these factors move the model to 81% for Partizan Mozzart Bet Belgrade. 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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HOMEPartizan Mozzart Bet Belgrade

PTS14.3 REB2.7 AST6.0 3PM1.2 PIR15.6
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)
PTS6.2 REB2.4 AST4.2 3PM1.1 PIR8.5
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)
PTS10.3 REB3.5 AST2.1 3PM1.7 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)
PTS9.0 REB4.2 AST1.3 3PM0.1 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)
PTS5.2 REB3.6 AST0.7 3PM0.0 PIR7.3
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)

AWAYKosner Baskonia Vitoria-Gasteiz

PTS10.2 REB2.5 AST3.1 3PM1.2 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)
PTS9.1 REB2.7 AST1.7 3PM1.0 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)
PTS7.7 REB2.4 AST1.9 3PM1.1 PIR6.5
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)
PTS6.9 REB3.7 AST1.1 3PM0.6 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)
PTS9.5 REB6.7 AST1.2 3PM0.1 PIR12.6
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
Carlik Jones Guard
PTS
14.3
PIR
15.6
REB
2.7
VS
Kobi Simmons Guard
PTS
10.2
PIR
8.6
REB
2.5
2
Alessandro Pajola Guard
PTS
6.2
PIR
8.5
REB
2.4
VS
Dj Stewart Forward
PTS
9.1
PIR
8.6
REB
2.7
3
Ethan Thompson Forward
PTS
10.3
PIR
10.1
REB
3.5
VS
Stefan Joksimovic Forward
PTS
7.7
PIR
6.5
REB
2.4
4
Nikola Tanaskovic Center
PTS
9.0
PIR
11.7
REB
4.2
VS
Clement Frisch Forward
PTS
6.9
PIR
7.0
REB
3.7
5
Joffrey Lauvergne Center
PTS
5.2
PIR
7.3
REB
3.6
VS
Kenneth Faried Center
PTS
9.5
PIR
12.6
REB
6.7
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

Partizan Mozzart Bet Belgrade is favored at home, with an 81% win probability. Its team-strength rating and home court support a clear advantage over Kosner Baskonia Vitoria-Gasteiz.

Total Points & Spread Analysis

The expected total is 167 points, with Partizan favored by 10 points. The forecast points to a game in which the hosts are more likely to create separation than face 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 166.6

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

Spread (Partizan Mozzart Bet Belgrade − Kosner Baskonia Vitoria-Gasteiz) · expected +10.2

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

ELO Rating Trends

Both teams’ ELO ratings are falling, with Partizan down four points over its last five games and Baskonia down 50.

Partizan Mozzart Bet Belgrade

-2 -6 over last 5 games

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

Kosner Baskonia Vitoria-Gasteiz

-165 -32 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

Partizan Mozzart Bet Belgrade

2-2 in last 4
WLLW
OpponentPFPADiff
Crvena Zvezda Meridianbet Belgrade 85 82 +3
LDLC ASVEL Villeurbanne 75 82 -7
Zalgiris Kaunas 80 87 -7
Maccabi Rapyd Tel Aviv 88 67 +21

Kosner Baskonia Vitoria-Gasteiz

0-4 in last 4
LLLL
OpponentPFPADiff
Panathinaikos AKTOR Athens 79 85 -6
Real Madrid 86 104 -18
LDLC ASVEL Villeurbanne 79 94 -15
Fenerbahce Tarfin Istanbul 65 84 -19

Game Analysis

Home court and team strength carry most of the forecast, while Partizan also has the projected advantage in ballhandling, steals and fouls. That combination points to the hosts being better placed to protect possessions and disrupt Baskonia’s offense. Partizan is 5-5 and most recently beat Maccabi after two defeats, while Baskonia is 1-9 and has lost all three of its listed recent games.

Carlik Jones is projected for 14 points and six assists, giving Partizan a leading creator. Baskonia’s Kenneth Faried is projected for 10 points and seven rebounds, and has the highest projected PIR among his team’s starters.

Final Prediction

Baskonia could narrow the gap by neutralizing Partizan’s advantage in ballhandling and disrupting Jones’s creation.

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