PythiaBasketballBETA Best Picks Games Leagues Teams Players Pro Picks PRO Validation Research Pricing Log in

Olimpia Milano vs Barcelona Result & Analysis

Date: Wed 09 Jan 2019
Tip-off: 19:45
Final 85-90
16-17 21-19 20-29 28-25
Position#11
Record8-8
FormWLLWW
Points / game87.5
Allowed / game86.2
vs
Position#5
Record9-7
FormWWWWW
Points / game77.5
Allowed / game76.1
EuropeEuroleagueRound 17
European cup2018
Meetings · Olimpia Milano v Barcelona
22 Oct 2026
MIL81
BAR89
05 Mar 2026
MIL87
BAR84
27 Mar 2025
MIL88
BAR98
26 Jan 2024
MIL74
BAR70
07 Apr 2023
MIL84
BAR76
04 Nov 2021
MIL75
BAR70
19 Mar 2021
MIL56
BAR72
09 Jan 2019
MIL85
BAR90
26 Oct 2017
MIL78
BAR74
23 Feb 2017
MIL78
BAR83
23 Oct 2014
MIL63
BAR78
02 Apr 2014
MIL91
BAR63
Sections

🎯 1. Model Analysis

Olimpia Milano winLost
-no forecast
Best oddsnone
Implied-
Edge-
Barcelona winWon
-no forecast
Best oddsnone
Implied-
Edge-
No frozen forecast was made for this game before tip-off.

🏀 2. Points Analysis

Olimpia MilanoLast 10 – points for & against
Opponent
Position
Result
Score
Points
Margin
🔥 FormMilano
Date
Competition
Fenerbahce
#2
L
85-92
85
92
-7
112avg 117
A13/12
Euroleague
Sassari
#4
W
107-106 OT
107
106
+1
no box
A16/12
Lega A
Bayern
#12
L
78-80
78
80
-2
103avg 117
H19/12
Euroleague
Panathinaikos
#7
W
86-83
86
83
+3
114avg 117
A21/12
Euroleague
Varese
#7
W
72-67
72
67
+5
94avg 117
H23/12
Lega A
Brescia
#12
W
87-75
87
75
+12
no box
H25/12
Lega A
Maccabi Tel Aviv
#10
L
92-94
92
94
-2
118avg 117
A27/12
Euroleague
Avellino
#9
L
81-85
81
85
-4
109avg 117
A30/12
Lega A
Buducnost
#15
W
111-94
111
94
+17
141avg 117
H03/01
Euroleague
Trento
#6
W
86-78
86
78
+8
no box
H06/01
Lega A
Q1
Q2
Q3
Q4
21-15
19-25
18-27
27-25
21-18
24-23
23-22
23-28
16-15
24-26
17-17
21-22
21-23
26-17
17-16
22-27
17-12
20-16
14-21
21-18
28-22
18-18
17-16
24-19
24-21
24-25
27-29
17-19
20-24
21-18
17-21
23-22
36-22
20-23
26-21
29-28
18-18
21-22
25-11
22-27
173.9Avg total
88.5Scored
85.4Allowed
SplitScoredAllowedTotalMarginWin %
Season (16)87.586.2173.7+1.350%
Season at home (8)87.587.4174.9+0.150%
Season away (8)87.585.0172.5+2.550%
Last 10 (10)88.585.4173.9+3.160%
Last 5 (5)91.485.2176.6+6.260%
Last 30 games by opponent strength
vs Stronger (4)84.088.2172.2-4.225%
vs Similar ◀ (12)85.583.7169.2+1.867%
vs Weaker (14)94.381.8176.1+12.586%
This opponent (Barcelona) is Similar. The matching 'vs' row is the one to weigh.
BarcelonaLast 10 – points for & against
Opponent
Position
Result
Score
Points
Margin
🔥 FormBarcelona
Date
Competition
Tenerife
#7
W
77-73
77
73
+4
101avg 112
H09/12
ACB
Real Madrid
#3
L
65-92
65
92
-27
86avg 112
A13/12
Euroleague
Unicaja
#5
L
73-78
73
78
-5
103avg 112
A16/12
ACB
Olympiacos
#6
L
60-69
60
69
-9
79avg 112
H18/12
Euroleague
Baskonia
#8
W
77-70
77
70
+7
106avg 112
A20/12
Euroleague
Gipuzkoa
#17
W
104-71
104
71
+33
138avg 112
A22/12
ACB
Anadolu Efes
#4
W
80-65
80
65
+15
no box
H27/12
Euroleague
Obradoiro CAB
#15
W
79-73
79
73
+6
100avg 112
H29/12
ACB
Darussafaka
#16
W
97-65
97
65
+32
132avg 112
H04/01
Euroleague
San Pablo Burgos
#12
W
85-80
85
80
+5
111avg 112
A06/01
ACB
Q1
Q2
Q3
Q4
17-21
19-20
20-7
21-25
17-22
13-31
20-16
15-23
16-16
18-21
19-25
20-16
14-17
16-15
18-23
12-14
19-16
23-23
7-16
28-15
28-21
20-26
34-7
22-17
23-29
16-21
20-7
21-8
19-20
18-12
15-17
27-24
29-16
25-11
19-18
24-20
23-17
17-21
26-19
19-23
153.3Avg total
79.7Scored
73.6Allowed
SplitScoredAllowedTotalMarginWin %
Season (16)77.576.1153.6+1.456%
Season at home (7)78.470.6149.0+7.971%
Season away (9)76.880.3157.1-3.644%
Last 10 (10)79.773.6153.3+6.170%
Last 5 (5)89.070.8159.8+18.2100%
Last 30 games by opponent strength
vs Stronger (4)71.284.0155.2-12.825%
vs Similar ◀ (8)78.572.5151.0+6.075%
vs Weaker (18)85.875.2161.0+10.678%
This opponent (Olimpia Milano) is Similar. The matching 'vs' row is the one to weigh.

📊 3. Team Totals

No team totals priced for this game yet.

⚖️ 4. Spread

No spread forecast for this game yet.

⏱️ 5. Quarters & Halves

Quarter by quarter

-5-3+0+3+5Q1Q1: +3.2+3.2Q1: +1.0+1.0Q2Q2: +0.4+0.4Q2: -1.6-1.6Q3Q3: +0.0+0.0Q3: +4.3+4.3Q4Q4: -0.6-0.6Q4: +2.4+2.4
-5-3+0+3+5Q1Q1: +3.2+3.2Q1: +1.0+1.0Q2Q2: +0.4+0.4Q2: -1.6-1.6Q3Q3: +0.0+0.0Q3: +4.3+4.3Q4Q4: -0.6-0.6Q4: +2.4+2.4
Olimpia MilanoBarcelona
Each team's average quarter over its last 10 games. Net is the quarter margin (above zero = the team wins that quarter on average: who starts fast, who closes); Pythia projection = the quarter means of tonight's simulation. Hover a bar for its value.
Bets by quarter and half · pick a period
Olimpia MilanoLast 10 – 1st half points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Fenerbahce
#2
D
40-40
40
40
+0
A13/12
Euroleague
Sassari
#4
W
45-41
45
41
+4
A16/12
Lega A
Bayern
#12
L
40-41
40
41
-1
H19/12
Euroleague
Panathinaikos
#7
W
47-40
47
40
+7
A21/12
Euroleague
Varese
#7
W
37-28
37
28
+9
H23/12
Lega A
Brescia
#12
W
46-40
46
40
+6
H25/12
Lega A
Maccabi Tel Aviv
#10
W
48-46
48
46
+2
A27/12
Euroleague
Avellino
#9
L
41-42
41
42
-1
A30/12
Lega A
Buducnost
#15
W
56-45
56
45
+11
H03/01
Euroleague
Trento
#6
L
39-40
39
40
-1
H06/01
Lega A
84.2Avg total
43.9Scored
40.3Allowed
1st halfScoredAllowedTotalMarginWon the halfOver main line
Last 30 (30)43.540.884.3+2.763%-
Last 30 at home (15)43.441.384.7+2.160%-
Last 30 away (15)43.640.283.8+3.467%-
Last 10 (10)43.940.384.2+3.660%-
Last 5 (5)46.042.688.6+3.460%-
Last 30 games by opponent strength
vs Stronger (4)43.539.082.5+4.575%-
vs Similar ◀ (12)41.140.681.7+0.558%-
vs Weaker (14)45.641.487.0+4.164%-
This opponent (Barcelona) is Similar. The matching 'vs' row is the one to weigh.
BarcelonaLast 10 – 1st half points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Tenerife
#7
L
36-41
36
41
-5
H09/12
ACB
Real Madrid
#3
L
30-53
30
53
-23
A13/12
Euroleague
Unicaja
#5
L
34-37
34
37
-3
A16/12
ACB
Olympiacos
#6
L
30-32
30
32
-2
H18/12
Euroleague
Baskonia
#8
W
42-39
42
39
+3
A20/12
Euroleague
Gipuzkoa
#17
W
48-47
48
47
+1
A22/12
ACB
Anadolu Efes
#4
L
39-50
39
50
-11
H27/12
Euroleague
Obradoiro CAB
#15
W
37-32
37
32
+5
H29/12
ACB
Darussafaka
#16
W
54-27
54
27
+27
H04/01
Euroleague
San Pablo Burgos
#12
W
40-38
40
38
+2
A06/01
ACB
78.6Avg total
39.0Scored
39.6Allowed
1st halfScoredAllowedTotalMarginWon the halfOver main line
Last 30 (30)39.837.577.3+2.363%-
Last 30 at home (14)40.835.976.6+4.971%-
Last 30 away (16)39.038.977.9+0.156%-
Last 10 (10)39.039.678.6-0.650%-
Last 5 (5)43.638.882.4+4.880%-
Last 30 games by opponent strength
vs Stronger (4)33.549.883.2-16.20%-
vs Similar ◀ (8)38.235.874.0+2.575%-
vs Weaker (18)41.935.677.5+6.472%-
This opponent (Olimpia Milano) is Similar. The matching 'vs' row is the one to weigh.
1st half bets · Pythia's probability, the best price and the edge
No 1st half markets priced for this game yet.

⭐ 6. Specials 🔒 Pro

No special markets priced for this game yet.

🔥 7. Top picks for this game

No priced selection above 70% for this game yet.
Free daily update

Get it on Telegram

Yesterday's results in full, today's games and market moves worth watching. One post a day, no signup.

Join the channel

🎯 8. Shooting Profile

Show:Over:
Olimpia Milanotheir own shots, last 10 games

Where their points come from

Olimpia Milano: 86.9 points a game scored
🏀🏀47%
🏀🏀🏀33%
🏀20%
🏀🏀 2-pointers40.6 pts a game · 47% of the points
🏀🏀🏀 3-pointers28.8 pts a game · 33% of the points
🏀 Free throws17.5 pts a game · 20% of the points
League average for comparison: 79.4 points a game
51%
32%
17%

Shooting by shot type

Shot typeAttempts per gameMade per gameAccuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers36.920.3
55.0%
52.7%40.6
🏀🏀🏀 3-pointers26.19.6
36.8%
37.0%28.8
🏀 Free throws21.717.5
80.6%
76.7%17.5
They take 63.0 shots from the field a game (2-pointers + 3-pointers); 26.1 of them are 3-pointers, so 41% of their shots are threes (league average: 38%). Accuracy is green when it beats the league average.
Barcelonatheir own shots, last 10 games

Where their points come from

Barcelona: 78.7 points a game scored
🏀🏀54%
🏀🏀🏀31%
🏀14%
🏀🏀 2-pointers42.8 pts a game · 54% of the points
🏀🏀🏀 3-pointers24.6 pts a game · 31% of the points
🏀 Free throws11.3 pts a game · 14% of the points
League average for comparison: 79.4 points a game
51%
32%
17%

Shooting by shot type

Shot typeAttempts per gameMade per gameAccuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers40.221.4
53.2%
52.7%42.8
🏀🏀🏀 3-pointers22.98.2
35.8%
37.0%24.6
🏀 Free throws14.711.3
76.9%
76.7%11.3
They take 63.1 shots from the field a game (2-pointers + 3-pointers); 22.9 of them are 3-pointers, so 36% of their shots are threes (league average: 38%). Accuracy is green when it beats the league average.

💪 9. Team Strengths

Side by side

Last 10/10 games with a box score before 09 Jan 2019 (all competitions); ratings are points per 100 possessions. The better figure is green.
Olimpia Milano
WWLLWWWLWL
Barcelona
WWWWWWLLLW
#11
League position
#5
+7.7
Net rating
+8.4
117.4
Offensive rating
111.9
109.7
Defensive rating
103.5
55.1%
Effective FG%
53.4%
52.0%
Opp. effective FG%
53.2%
16.3%
Turnover %
16.6%
30.1%
Off. rebound %
33.2%
0.34
Free-throw rate
0.23
36.8%
3-point %
35.8%
60.2%
Assist %
53.0%
60%
Form (last 10/10)
70%

Profile

Offence117.4 · 111.9Defence109.7 · 103.5Shooting55.1% · 53.4%3-point %36.8% · 35.8%Ball care16.3% · 16.6%Off. rebounds30.1% · 33.2%Free throws0.34 · 0.23Form (last 10/10)60% · 70%
■ Olimpia Milano   ■ Barcelona
The middle ring is the league average on each axis; outward = better than the league (defence and ball care: fewer points / turnovers is better). Form: share of the last 10 won. The figures are each team's own, the better one bold.

🤝 10. Games History

Head-to-head record
3
Olimpia Milano wins
6
Barcelona wins
DateH/AOpponentScore
06/01/19HTrento86-78
03/01/19HBuducnost111-94
30/12/18AAvellino81-85
27/12/18AMaccabi Tel Aviv92-94
25/12/18HBrescia87-75
23/12/18HVarese72-67
21/12/18APanathinaikos86-83
19/12/18HBayern78-80
16/12/18ASassari107-106 OT
13/12/18AFenerbahce85-92
Barcelonalast 10
DateH/AOpponentScore
06/01/19ASan Pablo Burgos85-80
04/01/19HDarussafaka97-65
29/12/18HObradoiro CAB79-73
27/12/18HAnadolu Efes80-65
22/12/18AGipuzkoa104-71
20/12/18ABaskonia77-70
18/12/18HOlympiacos60-69
16/12/18AUnicaja73-78
13/12/18AReal Madrid65-92
09/12/18HTenerife77-73

📊 11. Overall Statistics

Olimpia Milano
Euroleague 2018
Recent: 6 Wins / 4 Losses (last 10)
FormLast 5Win %
OverallLLWLW50%
HomeLWLLW50%
AwayLLLWL50%
StatsOverallHomeAway
Games1688
Win %50%50%50%
Points / game87.587.587.5
Allowed / game86.287.485.0
Point differential+1.3+0.1+2.5
Avg total173.7174.9172.5
Over main line---
Win by 10+19%12%25%
Close games (≤5 pts) won50% (8)60% (5)33% (3)
Overtime %0%0%0%
Barcelona
Euroleague 2018
Recent: 7 Wins / 3 Losses (last 10)
FormLast 5Win %
OverallLLWWW56%
HomeWLLWW71%
AwayWLLLW44%
StatsOverallHomeAway
Games1679
Win %56%71%44%
Points / game77.578.476.8
Allowed / game76.170.680.3
Point differential+1.4+7.9-3.6
Avg total153.6149.0157.1
Over main line---
Win by 10+31%71%0%
Close games (≤5 pts) won33% (3)-33% (3)
Overtime %6%0%11%
This competition's season before tip-off. Green = better than tonight's opponent on the same split; win-% badge green from 60%, red below 40%.

🏆 12. League Table

#TeamGPWLWin %PF/gPA/gDiff
1 Fenerbahce1715288%84.075.9+8.1
2 Real Madrid1714382%86.975.6+11.3
3 CSKA Moscow1713476%87.781.6+6.1
4 Anadolu Efes1711665%86.180.6+5.4
5 Olympiacos1711665%81.176.9+4.2
6 Barcelona169756%77.576.1+1.4
7 Olimpia Milano168850%87.586.2+1.3
8 Panathinaikos178947%78.579.3-0.8
9 Bayern178947%79.581.2-1.8
10 Baskonia1771041%81.582.2-0.6
11 Khimki M.1771041%79.380.0-0.7
12 Zalgiris Kaunas1771041%79.980.8-0.9
13 Maccabi Tel Aviv1761135%78.280.5-2.2
14 Gran Canaria1761135%79.787.8-8.1
15 Buducnost1731418%74.085.6-11.6
16 Darussafaka1721512%74.685.5-10.9
Built from this season's results before tip-off (all phases of the competition). Click a column to sort. Bars: win %, points scored and allowed per game across the league, and the point differential (green +, red -).

📋 13. Box Score

TeamQ1Q2Q3Q4Final
Olimpia Milano1621202885
Barcelona1719292590
← all games of the day
18+ · BASKETBALL ANALYTICS, NOT BETTING ADVICE

PythiaBasketball uses cookies

We use cookies to keep the site working, to remember your settings, to understand which predictions people read, and to improve what we show you. For more information, see our Cookie Policy.