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Olimpia Milano

Italy EuroLeague 1-10 · 20/20 Lega A 5-2 · 3/16
Form, last 10 (oldest → newest)
LWLLLLWLWL
Points / game
87.9
allowed 80.5
Over 170.5
43%
game total, 47 games
Game total
168.4
both teams per game
Win rate
72%
34-13
Margin / game
+7.4
points
1st half
45.9
points scored / game
Overtime
2%
games to overtime
Sections
Olimpia Milano

Olimpia Milano in the 2026-27 season sit at 6-11 overall, struggling in the EuroLeague with a 1-9 record to finish 19th of 20 teams, yet holding a respectable 5-2 mark in Lega Basket Serie A to secure third place out of 16. Their recent form shows a 2-3 run in the last five games, highlighted by a narrow 88-86 home win over Trento and a 95-82 away victory against Cantu, while a 73-84 home loss to Valencia dampens the picture. In the Italian league, a net rating of 7.2 places them second in the power-rating list, though their rank has slipped from first a few games earlier. Home and away splits reveal a 4-5 record at home and a 2-6 record on the road, with points for and against hovering around 88 and 84 respectively. Moses Wright leads the squad with 12.6 points and 5.1 rebounds per game, while Devon Hall supplies 4.0 assists. The next outing is an away game against Udine on 15 November 2026, where Pythia projects a 64% win probability.

Written by Pythia from this season's results, ratings and squad.

Olimpia Milano stats, form & predictions – 2026-27

In the Lega Basket Serie A (2025-26 + 2026-27) Olimpia Milano score 87.9 points a game and allow 80.5 across 47 games – 43% of their games go over 170.5 and they clear 85.5 team points in 62%. They win 72% (80% at home, 64% away), by +7.4 points a game on average.

🏀 1. Points & form

Olimpia MilanoLast 20 – points for & against, every competition
Opponent
Position
Result
Score
Points
Margin
🔥 FormMilano
Date
Competition
Venezia
#5
L
97-109
97
109
-12
82avg 82
A16/06
Lega A
Venezia
#5
W
86-72
86
72
+14
82avg 82
A18/06
Lega A
Partizan
#11
L
76-92
76
92
-16
71avg 82
A25/09
Euroleague
Trieste
#7
W
83-79
83
79
+4
80avg 82
H27/09
Lega A
Virtus Bologna
#16
W
87-85
87
85
+2
75avg 82
H29/09
Euroleague
Baskonia
#20
L
76-86
76
86
-10
68avg 82
A02/10
Euroleague
Verona
#10
L
72-75
72
75
-3
66avg 82
A05/10
Lega A
Maccabi Tel Aviv
#17
L
79-97
79
97
-18
79avg 82
A08/10
Euroleague
Treviso
#5
W
106-77
106
77
+29
112avg 82
H11/10
Lega A
Real Madrid
#5
L
89-98
89
98
-9
77avg 82
H13/10
Euroleague
Dubai
#9
L
97-101
97
101
-4
93avg 82
H15/10
Euroleague
Basket Napoli
#2
W
98-82
98
82
+16
93avg 82
A18/10
Lega A
Barcelona
#4
L
81-89
81
89
-8
76avg 82
H22/10
Euroleague
Virtus Bologna
#1
L
94-98 OT
94
98
-4
80avg 82
H25/10
Lega A
Panathinaikos
#1
L
75-80
75
80
-5
66avg 82
A27/10
Euroleague
Olympiacos
#2
L
78-84
78
84
-6
75avg 82
A30/10
Euroleague
Cantu
#16
W
95-82
95
82
+13
no box
A02/11
Lega A
Valencia
#3
L
73-84
73
84
-11
no box
H05/11
Euroleague
Trento
#11
W
88-86
88
86
+2
no box
H08/11
Lega A
Zalgiris Kaunas
#8
L
83-86
83
86
-3
no box
H12/11
Euroleague
Q1
Q2
Q3
Q4
26-25
24-25
19-36
28-23
19-20
26-20
23-16
18-16
16-20
20-22
22-21
18-29
17-19
21-22
19-23
26-15
30-20
17-21
19-26
21-18
16-26
20-18
24-21
16-21
21-21
17-23
15-14
19-17
20-24
25-27
17-23
17-23
27-28
33-11
20-21
26-17
25-21
15-32
27-31
22-14
23-29
26-27
19-27
29-18
18-25
23-13
25-23
32-21
21-23
19-21
24-27
17-18
22-20
30-17
15-22
14-22
19-18
18-22
24-20
14-20
19-25
25-19
17-25
17-15
23-27
28-20
21-17
23-18
15-24
22-16
22-11
14-33
26-28
30-20
19-22
13-16
25-18
16-27
11-18
31-23
172.8Avg total
85.7Scored
87.1Allowed
Points by quarter
Q1
22.1
20.3
+1.8
won 57%
Q2
23.8
20.1
+3.7
won 64%
Q3
20.7
19.9
+0.8
won 53%
Q4
21.1
19.8
+1.3
won 60%
■ scored   ■ allowed, per game. Won the 1st half in 66% of 47 games, the 2nd half in 51%.
Home v away – all metrics
HOME n=25AWAY n=22
89.4
Points / game
86.2
80.9
Allowed / game
80.1
170.3
Game total
166.3
52%
Over 170.5
32%
80%
Win %
64%
+8.6
Margin
+6.1
48.2
1st half scored
43.4
80%
Won the 1st half
50%
48%
Won by 10+
36%
Points scored per game
6%13%19%26%11%70-7411%75-7915%80-8419%85-8926%90-9411%95-994%100-1044%105-109
Share of games.
Points allowed per game
6%12%18%23%9%60-646%65-6917%70-7415%75-7915%80-8423%85-894%90-946%95-994%100-104
Share of games.
Points by opponent strength (last 30)
Scored / allowed per game by opponent tier, then home and away. Green beats the league's per-team average of 85.3 points (scored above it, allowed below it); red is worse. Tier = the opponent's season point differential per game against this team's (±4).
SplitTotal scoredTotal allowedHome scoredHome allowedAway scoredAway allowedWin %
All games (30)86.283.989.484.182.683.750%
vs Stronger (8)81.589.284.691.676.385.30%
vs Similar (6)86.287.888.087.384.388.350%
vs Weaker (16)88.679.892.978.184.481.475%
Over 170.5 (game total)47% of these 30 games

💪 2. Team strengths

Where they rank
Win %
2ndof 2072%
Attack: points scored per game
5thof 2087.9
Defence: points allowed per game
3rdof 2080.5
Game total: both teams' points per game
15thof 20168.4
Ranked against the 20 teams of the league over 2025-26 + 2026-27. Ties share a place (=); defence ranks the fewest points allowed first.
🏀 Attack
Points scored / game
🛡 Defence
Allowed / game · lower is better
📈 Game total
Both teams' points / game
2 Verona179.6
3 Venezia175.1
4 Sassari175.0
5 Treviso173.9
6 Scafati173.6
8 Varese173.2
9 Trieste173.0
11 Tortona171.8
12 Cantu171.5
13 Brescia171.1
14 Cremona168.8
17 Trento166.8
18 Reggiana164.3
19 Udine164.3
20 Trapani156.7
Where they rank · shooting accuracy
Field-goal accuracy
3rdof 2048.2%
2-point accuracy
3rdof 2057.1%
3-point accuracy
6thof 2036.0%
Free-throw accuracy
2ndof 2080.8%
Made / attempted over the same games, every team of the league.
🎯 Field-goal accuracy
Made / attempted, every shot from the field
TeamAcc.
5 Venezia47.0%
6 Trapani46.8%
7 Brescia46.6%
8 Verona46.2%
9 Tortona45.9%
10 Sassari45.8%
11 Trento45.3%
12 Trieste45.1%
13 Varese45.0%
14 Treviso44.5%
15 Cantu44.5%
16 Reggiana44.5%
17 Scafati44.2%
19 Cremona42.9%
20 Udine42.6%
✋ 2-point accuracy
Made / attempted inside the arc
TeamAcc.
2 Verona61.1%
5 Varese56.0%
7 Venezia54.6%
8 Trieste54.4%
9 Trento54.3%
10 Trapani54.3%
11 Tortona53.4%
12 Sassari53.2%
13 Cantu53.2%
14 Treviso52.2%
15 Brescia52.1%
16 Reggiana51.8%
17 Cremona51.7%
18 Udine51.3%
20 Scafati46.7%
🌟 3-point accuracy
Made / attempted from three
TeamAcc.
1 Scafati39.8%
4 Brescia38.1%
8 Venezia35.1%
9 Sassari35.0%
10 Tortona34.9%
11 Trieste34.6%
12 Reggiana34.2%
13 Trento33.8%
14 Trapani33.3%
15 Varese33.2%
16 Cantu32.9%
17 Cremona32.8%
18 Treviso31.9%
19 Udine31.7%
20 Verona27.3%
🏹 Free-throw accuracy
Made / attempted at the line
TeamAcc.
1 Brescia81.4%
6 Trapani77.9%
7 Trento77.7%
8 Venezia77.5%
9 Trieste76.8%
10 Treviso75.9%
11 Tortona75.9%
12 Cremona75.3%
13 Sassari74.7%
14 Udine74.4%
15 Varese73.6%
17 Verona72.3%
18 Cantu70.4%
19 Reggiana68.9%
20 Scafati61.5%
🏀 Shooting accuracy
🎯 Overall field goals
48.2%+2.4pp v the Lega A average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
5 of 10 shots go in · line = the Lega A average
#3 of 20 in Lega A
✋ 2-pointers
57.1%+3.1pp v the Lega A average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
6 of 10 shots go in · line = the Lega A average
#3 of 20 in Lega A
🌟 3-pointers
36.0%+1.5pp v the Lega A average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
4 of 10 shots go in · line = the Lega A average
#6 of 20 in Lega A
🏹 Free throws
80.8%+4.9pp v the Lega A average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
8 of 10 shots go in · line = the Lega A average
#2 of 20 in Lega A

Team v league average

Last 30 games with a box score (every competition); the league from this season's box scores. Ratings are points per 100 possessions. The better figure is green.
Olimpia MilanoLeague average
101.7
Offensive rating
98.0
97.0
Defensive rating
98.0
56.2%
Effective FG%
53.1%
54.2%
Opp. effective FG%
53.1%
14.8%
Turnover %
14.8%
0.32
Free-throw rate
0.37
36.8%
3-point %
34.3%
42.0%
3-point attempt rate
43.0%
61.4%
Assist %
60.9%

Profile

Offence101.7 · 98.0Defence97.0 · 98.0Shooting56.2% · 53.1%3-point %36.8% · 34.3%Ball care14.8% · 14.8%Free throws0.32 · 0.37
■ Olimpia Milano   ■ League average
The red ring is the league average on each axis; outward = better (defence and ball care: fewer points / turnovers is better).

🏆 3. League table

#TeamGPWLWin %PF/gPA/g+/-Over 170.5HomeAwayClose wonForm
1 Virtus Bologna76186%96.486.0+7386%3-13-0100%WWWLW
2 Basket Napoli76186%93.786.6+5086%2-14-0100%WLWWW
3 Olimpia Milano75271%90.982.7+5771%3-12-150%WWLWW
4 Maxima Roma75271%88.183.7+3143%3-12-1100%WWWWW
5 Treviso75271%90.788.6+1571%3-02-2100%LWWWL
6 Venezia74357%87.988.6-557%1-23-1100%LWLLW
7 Udine74357%81.380.3+714%2-12-2100%LLLWW
8 Varese74357%87.787.6+150%2-22-133%WLWWL
9 Trieste74357%94.488.4+4243%3-11-20%LWWWW
10 Verona73443%88.491.1-1986%2-11-3100%WWLLL
11 Trento73443%80.483.6-2243%1-22-250%WWLLL
12 BC Roma72529%100.199.3+6100%2-10-40%LLLWL
13 Reggiana72529%81.783.7-1450%2-20-30%WLWLL
14 Tortona72529%83.791.0-5157%2-20-30%LLLLW
15 Scafati71614%81.692.0-7357%1-30-30%LLWLL
16 Cantu7070%76.990.9-9843%0-30-40%LLLLL
Playoffs Relegation
Click a column header to sort. Over = how often the team's games went over 170.5; Close won = record in games decided by 5 or fewer.

📊 4. Betting markets

Bets by period · pick a period
Olimpia MilanoLast 20 – Full game points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Venezia
#5
L
97-109
97
109
-12
A16/06
Lega A
Venezia
#5
W
86-72
86
72
+14
A18/06
Lega A
Partizan
#11
L
76-92
76
92
-16
A25/09
Euroleague
Trieste
#7
W
83-79
83
79
+4
H27/09
Lega A
Virtus Bologna
#16
W
87-85
87
85
+2
H29/09
Euroleague
Baskonia
#20
L
76-86
76
86
-10
A02/10
Euroleague
Verona
#10
L
72-75
72
75
-3
A05/10
Lega A
Maccabi Tel Aviv
#17
L
79-97
79
97
-18
A08/10
Euroleague
Treviso
#5
W
106-77
106
77
+29
H11/10
Lega A
Real Madrid
#5
L
89-98
89
98
-9
H13/10
Euroleague
Dubai
#9
L
97-101
97
101
-4
H15/10
Euroleague
Basket Napoli
#2
W
98-82
98
82
+16
A18/10
Lega A
Barcelona
#4
L
81-89
81
89
-8
H22/10
Euroleague
Virtus Bologna
#1
L
94-98 OT
94
98
-4
H25/10
Lega A
Panathinaikos
#1
L
75-80
75
80
-5
A27/10
Euroleague
Olympiacos
#2
L
78-84
78
84
-6
A30/10
Euroleague
Cantu
#16
W
95-82
95
82
+13
A02/11
Lega A
Valencia
#3
L
73-84
73
84
-11
H05/11
Euroleague
Trento
#11
W
88-86
88
86
+2
H08/11
Lega A
Zalgiris Kaunas
#8
L
83-86
83
86
-3
H12/11
Euroleague
Q1
Q2
Q3
Q4
26-25
24-25
19-36
28-23
19-20
26-20
23-16
18-16
16-20
20-22
22-21
18-29
17-19
21-22
19-23
26-15
30-20
17-21
19-26
21-18
16-26
20-18
24-21
16-21
21-21
17-23
15-14
19-17
20-24
25-27
17-23
17-23
27-28
33-11
20-21
26-17
25-21
15-32
27-31
22-14
23-29
26-27
19-27
29-18
18-25
23-13
25-23
32-21
21-23
19-21
24-27
17-18
22-20
30-17
15-22
14-22
19-18
18-22
24-20
14-20
19-25
25-19
17-25
17-15
23-27
28-20
21-17
23-18
15-24
22-16
22-11
14-33
26-28
30-20
19-22
13-16
25-18
16-27
11-18
31-23
172.8Avg total
85.7Scored
87.1Allowed
Full gameScoredAllowedTotalMarginWon the gameOver 170.5
Last 30 (30)86.283.9170.1+2.350%47%
Last 30 at home (16)89.484.1173.4+5.362%62%
Last 30 away (14)82.683.7166.4-1.136%29%
Last 10 (10)86.287.2173.4-1.030%50%
Last 5 (5)83.484.4167.8-1.040%40%
Last 30 games by opponent strength
vs Stronger (8)81.589.2170.8-7.80%25%
vs Similar (6)86.287.8174.0-1.750%67%
vs Weaker (16)88.679.8168.4+8.975%50%
Full game hit rates · last 30 games · line 170.5 = the league line
Over 170.547%
n=30
Under 170.553%
n=30
Won the game50%
n=30
Lost the game50%
n=30
Markets by opponent strength, home and away
2025-26 + 2026-27, Lega A games. Per-game averages by the opponent's strength, then the share over the line (game total, team points) or won (margin).
Game total (line 170.5)Team points (line 85.5)Margin (win)
SplitAllHomeAwayAllHomeAwayAllHomeAway
Overall (47)168.4170.3166.387.989.486.2+7.4+8.6+6.1
vs Stronger (0)---------
vs Similar (3)175.7164.5198.087.384.094.0-1.0+3.5-10.0
vs Weaker (44)168.0170.8164.888.089.985.9+8.0+9.0+6.9
% over line / win43%52%32%62%64%59%72%80%64%
% under line / loss57%48%68%38%36%41%28%20%36%
Scoring dials
Points / game87.9
League avg 85.3 · above by 2.6
Allowed / game80.5
League avg 85.3 · below by 4.8
1st half scored45.9
League avg 43.0 · above by 2.9
3-pointers made9.6
League avg 9.5 · above by 0.1
Free throws made16.7
League avg 17.9 · below by 1.2
Over / under hit rate – this team's own points (2025-26 + 2026-27)
Over 80.5 pts74%
🔥 70%+n=47
Under 80.5 pts26%
n=47
Over 85.5 pts62%
n=47
Under 85.5 pts38%
n=47
Over 90.5 pts43%
n=47
Under 90.5 pts57%
n=47
Over / under hit rate – game total (the league's lines)
Over 160.564%
n=47
Under 160.536%
n=47
Over 170.543%
n=47
Under 170.557%
n=47
Over 180.521%
n=47
Under 180.579%
🔥 70%+n=47
Result markets
Win72%
🔥 70%+n=47
Win by 6+ (-5.5)49%
n=47
Cover +5.583%
🔥 70%+n=47
Win by 10+43%
n=47
Win the 1st half66%
n=47
Overtime2%
n=47
Highlighted: 🔥 70%+ = the line landed in at least 70% of the games (10+ games); a thin green edge = 60-69%; everything else is grey. A line priced about 1.90 needs 53% to break even. Past hit rates, not a forecast: Pythia's own probabilities are on the game pages.

🎯 5. Shooting profile

Over:
Scoringtheir own shots, last 10 games

Where their points come from

Olimpia Milano: 86.9 points a game scored
🏀🏀44%
🏀🏀🏀34%
🏀21%
🏀🏀 2-pointers38.6 pts a game · 44% of the points
🏀🏀🏀 3-pointers29.7 pts a game · 34% of the points
🏀 Free throws18.6 pts a game · 21% of the points
League average for comparison: 86.2 points a game
46%
33%
21%

Shooting by shot type

Shot typeAttempts per gameMade per gameAccuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers34.019.3
56.8%
54.3%38.6
🏀🏀🏀 3-pointers27.59.9
36.0%
34.3%29.7
🏀 Free throws22.718.6
81.9%
74.6%18.6
They take 61.5 shots from the field a game (2-pointers + 3-pointers); 27.5 of them are 3-pointers, so 45% of their shots are threes (league average: 43%). Accuracy is green when it beats the league average.
Defencetheir opponents' shots, last 10 games

Where their opponents' points come from

Olimpia Milano: 88.1 points a game allowed
🏀🏀48%
🏀🏀🏀32%
🏀20%
🏀🏀 2-pointers42.2 pts a game · 48% of the points
🏀🏀🏀 3-pointers27.9 pts a game · 32% of the points
🏀 Free throws18.0 pts a game · 20% of the points
League average for comparison: 86.2 points a game
46%
33%
21%

Shooting by shot type

Shot typeOpponents' Attempts per gameOpponents' Made per gameOpponents' Accuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers36.921.1
57.2%
54.3%42.2
🏀🏀🏀 3-pointers26.29.3
35.5%
34.3%27.9
🏀 Free throws25.118.0
71.7%
74.6%18.0
Their opponents take 63.1 shots from the field a game (2-pointers + 3-pointers); 26.2 of them are 3-pointers, so 42% of those shots are threes (league average: 43%). Accuracy is green when they hold opponents below the league average.

👥 6. Squad statistics

PlayerCompGPGSMINPTSREBASTFG%3P%
Devon HallLega A EuroLeague141424.68.02.44.037.2%30.6%
Moses WrightLega A EuroLeague141322.412.65.10.961.3%28.6%
Leandro BolmaroLega A EuroLeague13423.79.13.12.642.9%34.2%
Cole R.J.Lega A EuroLeague13820.811.51.83.250.5%48.5%
Darius ThompsonLega A EuroLeague14518.26.11.42.646.4%30.3%
Jason BurnellLega A EuroLeague13418.48.53.71.447.6%46.8%
Alec PetersLega A EuroLeague10922.18.63.80.844.1%41.4%
Marko GuduricLega A EuroLeague11419.78.41.82.043.7%29.7%
Garrison MathewsLega A EuroLeague10518.29.22.00.537.9%37.5%
Devin BookerEuroLeague9015.66.13.81.136.6%30.0%
Giampaolo RicciLega A EuroLeague10111.83.02.90.335.5%30.8%
Ousmane DiopLega A EuroLeague8112.26.63.40.671.4%-
Stefano TonutLega A4113.53.03.51.030.8%28.6%
Diego FlaccadoriLega A EuroLeague419.12.00.51.030.0%0.0%
Nicola AkeleLega A406.52.81.80.0100.0%100.0%
B. ChauveauLega A101.00.00.00.0--
Per game, this season, every competition together (chips), from box scores; sorted by minutes played.
🔥 Player form
Last 5 games v each player's own last year · 5 = their normal
Team average
3.7
14 rated players
Armoni Brooks14.6 pts10.0
Shavon Shields12.3 pts7.7
Nico Mannion5.4 pts7.3
M. Ceccato0.8 pts6.8
Leonardo Tote4.4 pts6.4
Stefano Tonut2.1 pts6.2
Cole R.J.11.5 pts6.1
Zach LeDay11.8 pts5.9
Darius Thompson6.1 pts5.5
Nicola Akele2.8 pts5.5
Nate Sestina3.1 pts4.1
Devin Booker7.9 pts3.8
Devon Hall8.0 pts3.5
Lorenzo Brown6.6 pts3.5
Leandro Bolmaro10.0 pts3.3
Ousmane Diop5.6 pts3.3
Moses Wright12.6 pts3.1
Josh Nebo9.8 pts2.9
Jason Burnell8.5 pts2.9
Alec Peters8.6 pts1.8
Marko Guduric8.6 pts1.7
Giampaolo Ricci5.7 pts0.6
Player market rates – share of games
10+ points
Games in which the player scored 10 or more
20+ points, rebounds & assists
PRA: points + rebounds + assists
🏀 Shooting accuracy per player
🎯 Field-goal accuracy
Made / attempted, every shot from the field (30+ attempts)
✋ 2-point accuracy
Made / attempted inside the arc (20+ attempts)
🌟 3-point accuracy
Made / attempted from three (15+ attempts)
🏹 Free-throw accuracy
Made / attempted at the line (10+ attempts)
2025-26 + 2026-27, every competition; players with at least 3 games, top 10 per market (scroll each card). Shares of games played, which is how player props settle, not per-minute rates.

🔮 7. Pythia's view

Pythia exclusive
Model result accuracy
68%favourite won, 2025-260%100%
📊 The record behind it
53-25favourite won / lost
Across 78 games of Olimpia Milano, 2025-26: Pythia (Version 5) picked the winner 68% of the time. Walk-forward: every forecast made only from games before it.
📅 Next game
Udine
v
Olimpia Milano
Sun 15 Nov, 17:15 UTC
Pythia: Olimpia Milano 62%
home 38%away 62%
Open the game page →
🔥 Top picks · next game: Udine v Olimpia Milano Sun 15 Nov
Every selection Pythia rates above 70%, ranked by edge (click any column to re-sort). Free readers see five, one market at a time (moneyline, spread, total ...); Pro sees every selection and can filter by Min odds and Edge. The five price columns are the best market prices (highest first); edge is vs the consensus price.
Min odds PRO1.20
Edge PRO
PickProbabilityAvg oddsBest 1Best 2Best 3Best 4Best 5Edge
Udine +1071.4%1.59
Marathon Bet
1.60
Bet365
1.58
---+13.3pp
Udine +1174.4%1.51
Bet365
1.52
Marathon Bet
1.50
---+13.3pp
1st half: Olimpia Milano under 46.574.7%1.36
1xBet
1.36
----+10.3pp
2nd half: Udine over 35.573.4%1.38
1xBet
1.38
----+9.9pp
Q1: Under 45.572.7%1.37
Bet365
1.37
----+5.2pp
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🔒 133 more picks for this game · Unlock all Best Picks & everything else with Pro

📅 8. Season v history

Metric2022-23
n=44
2023-24
n=41
2024-25
n=38
2025-26
n=40
2026-27
n=7
Trend
Points scored / game82.781.887.387.490.9
Points allowed / game73.375.381.880.182.7
Game total156.0157.1169.1167.6173.6
Over 160.541%39%68%60%86%
Over 170.520%20%45%38%71%
Over 180.52%7%24%20%29%
Team points over 85.541%32%53%60%71%
Win %75%76%63%72%71%
Home win %91%86%79%81%75%
Away win %57%65%47%63%67%
Margin / game+9.4+6.5+5.5+7.3+8.1
Won by 10+55%39%37%42%43%
Close games won (5 or fewer)50%85%60%75%50%
Overtime %5%2%0%0%14%
1st half total77.778.387.285.790.0
Won the 1st half61%61%61%65%71%
3-point attempt rate45%42%42%42%39%
Effective FG%55%54%57%56%57%
Pace71.171.871.873.7-
Domestic-league games, every stage; the same lines every season (the league page's). The current season so far.

🗓️ 9. Results & fixtures

Recent results
DateGameScoreRes
12 NovOlimpia Milano v Zalgiris Kaunas Euroleague83-86L
08 NovOlimpia Milano v Trento Lega A88-86W
05 NovOlimpia Milano v Valencia Euroleague73-84L
02 NovCantu v Olimpia Milano Lega A82-95W
30 OctOlympiacos v Olimpia Milano Euroleague84-78L
27 OctPanathinaikos v Olimpia Milano Euroleague80-75L
25 OctOlimpia Milano v Virtus Bologna Lega A94-98 OTL
22 OctOlimpia Milano v Barcelona Euroleague81-89L
18 OctBasket Napoli v Olimpia Milano Lega A82-98W
15 OctOlimpia Milano v Dubai Euroleague97-101L
Upcoming games
Every competition. The bar is Pythia's frozen home-win forecast (green = home team); the figures are the best moneyline per team. Open a game for the full analysis.
Data through 13 Nov 2026.
18+ · BASKETBALL ANALYTICS, NOT BETTING ADVICE

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