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Ulm

Germany EuroCup 3-4 · 5/9 Group 2 BBL 3-5 · 14/18
Form, last 10 (oldest → newest)
LLWLLWWLLL
Points / game
84.1
allowed 85.4
Over 168.5
56%
game total, 9 games
Game total
169.6
both teams per game
Win rate
44%
4-5
Margin / game
-1.3
points
1st half
42.3
points scored / game
Overtime
11%
games to overtime
Sections
Ulm

Ulm 2026-27 season has settled at 6-9, with a 3-4 record in the EuroCup placing them fifth of nine and a 3-5 record in the BBL sitting 14th of 18. Their last five games yielded two wins and three losses, and the most recent outings were a 78-83 loss to BC Roma in the EuroCup, a 87-97 defeat to Rostock in the BBL and an 82-96 home loss to Bahcesehir Kol. In the BBL the team's net rating is -0.3, ranking 10th of 18 and trending down from 7th a few games ago. Home form is stronger, with a 4-2 record and 86.0 points for versus 84.2 against, while away struggles are evident at 2-7 and 84.1 for versus 88.7 against. M. Rataj leads with 14.8 points per game, O. Shittu averages 6.6 rebounds and I. Watson-Boye discharges 3.7 assists. The next game is an away EuroCup fixture against Balkan on 17 November 2026, where Pythia projects a 76% win probability.

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

Ulm stats, form & predictions – 2026-27

In the BBL (this season) Ulm score 84.1 points a game and allow 85.4 across 9 games – 56% of their games go over 168.5 and they clear 84.5 team points in 56%. They win 44% (75% at home, 20% away), by -1.3 points a game on average.

🏀 1. Points & form

UlmLast 20 – points for & against, every competition
Opponent
Position
Result
Score
Points
Margin
🔥 FormUlm
Date
Competition
Frankfurt
#15
W
103-64
103
64
+39
104avg 74
A10/05
BBL
Bamberg
#2
L
74-80
74
80
-6
69avg 74
A16/05
BBL
Bamberg
#2
L
87-90
87
90
-3
83avg 74
A18/05
BBL
Bamberg
#2
L
87-96
87
96
-9
78avg 74
H23/05
BBL
Ludwigsburg
#7
W
86-77
86
77
+9
81avg 74
H20/09
BBL
Phoenix Hagen
#17
W
93-78
93
78
+15
87avg 74
A25/09
BBL
Wurzburg
#9
L
67-90
67
90
-23
65avg 74
H27/09
BBL
Balkan
#32
W
98-84
98
84
+14
92avg 74
H30/09
Eurocup
Syntainics MBC
#3
L
72-89
72
89
-17
53avg 74
A03/10
BBL
Manresa
#8
L
89-101
89
101
-12
83avg 74
A07/10
Eurocup
Vechta
#13
L
92-97 OT
92
97
-5
84avg 74
A10/10
BBL
KK Bosna
#23
W
102-93
102
93
+9
96avg 74
H14/10
Eurocup
PAOK
#7
L
78-87
78
87
-9
65avg 74
A21/10
Eurocup
Alba Berlin
#8
L
82-98
82
98
-16
76avg 74
A25/10
BBL
Lietkabelis
#21
W
86-68
86
68
+18
84avg 74
A27/10
Eurocup
Oldenburg
#12
W
81-65
81
65
+16
77avg 74
H31/10
BBL
Bahcesehir Kol.
#3
L
82-96
82
96
-14
no box
H03/11
Eurocup
Rostock
#6
L
87-97
87
97
-10
no box
A07/11
BBL
BC Roma
#18
L
78-83
78
83
-5
no box
A11/11
Eurocup
Jena
#18
W
97-78
97
78
+19
no box
H14/11
BBL
Q1
Q2
Q3
Q4
31-24
30-8
19-16
23-16
26-16
15-19
16-18
17-27
18-22
24-19
18-32
27-17
28-27
19-20
19-32
21-17
18-15
17-12
23-30
28-20
27-21
16-16
27-21
23-20
24-16
9-25
22-21
12-28
31-17
23-22
21-20
23-25
24-20
17-18
16-23
15-28
24-31
21-31
24-20
20-19
20-20
27-13
14-26
23-25
26-26
26-23
26-16
24-28
20-19
22-27
13-13
23-28
18-23
25-22
16-23
23-30
22-25
28-17
17-9
19-17
18-20
26-12
16-20
21-13
19-19
17-35
24-14
22-28
21-29
24-29
21-15
21-24
15-11
19-24
16-27
28-21
33-11
17-28
30-16
17-23
171.6Avg total
86.0Scored
85.5Allowed
Points by quarter
Q1
22.6
19.4
+3.1
won 56%
Q2
19.8
19.4
+0.3
won 44%
Q3
20.6
21.7
-1.1
won 44%
Q4
20.3
23.4
-3.1
won 33%
■ scored   ■ allowed, per game. Won the 1st half in 67% of 9 games, the 2nd half in 56%.
Home v away – all metrics
HOME n=4AWAY n=5
82.8
Points / game
85.2
77.5
Allowed / game
91.8
160.2
Game total
177.0
25%
Over 168.5
80%
75%
Win %
20%
+5.2
Margin
-6.6
40.5
1st half scored
43.8
75%
Won the 1st half
60%
50%
Won by 10+
20%
Points scored per game
6%11%17%22%11%65-6911%70-740%75-7922%80-8422%85-8922%90-9411%95-99
Share of games.
Points allowed per game
8%17%25%33%11%65-690%70-7433%75-790%80-8411%85-8911%90-9433%95-99
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 85.8 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)84.184.586.183.682.585.140%
vs Stronger (5)81.694.082.096.081.593.50%
vs Similar (14)82.087.582.387.381.787.729%
vs Weaker (11)87.876.392.276.084.276.573%
Over 168.5 (game total)47% of these 30 games

💪 2. Team strengths

Where they rank
Win %
=10thof 18 · 3 level44%
Attack: points scored per game
13thof 1884.1
Defence: points allowed per game
9thof 1885.4
Game total: both teams' points per game
12thof 18169.6
Ranked against the 18 teams of the league over this season. Ties share a place (=); defence ranks the fewest points allowed first.
🏆 Win %
this season
1 Bayern88%
2 Trier86%
3 Syntainics MBC75%
4 Frankfurt67%
5 Bonn67%
6 Rostock62%
7 Alba Berlin56%
8 Ludwigsburg56%
9 Wurzburg50%
10 Bamberg44%
11 Oldenburg44%
12 Ulm44%
13 Basketball Braunschweig38%
14 Vechta38%
15 Hamburg33%
16 Chemnitz25%
17 Jena22%
18 Phoenix Hagen22%
🏀 Attack
Points scored / game
1 Trier98.4
2 Bayern96.0
3 Rostock89.8
4 Bonn87.7
5 Frankfurt87.3
6 Alba Berlin87.2
7 Chemnitz87.1
8 Syntainics MBC86.6
9 Vechta86.2
10 Ludwigsburg86.1
11 Basketball Braunschweig86.0
12 Bamberg85.1
13 Ulm84.1
14 Phoenix Hagen83.4
15 Hamburg83.3
16 Wurzburg81.8
17 Jena77.9
18 Oldenburg74.7
🛡 Defence
Allowed / game · lower is better
1 Bayern70.1
2 Syntainics MBC80.1
3 Bonn81.2
4 Rostock82.4
5 Wurzburg83.2
6 Frankfurt83.3
7 Oldenburg83.4
8 Ludwigsburg85.2
9 Ulm85.4
10 Bamberg85.7
11 Trier86.1
12 Alba Berlin86.6
13 Jena89.6
14 Chemnitz90.0
15 Vechta90.8
16 Hamburg90.8
17 Phoenix Hagen92.0
18 Basketball Braunschweig96.5
📈 Game total
Both teams' points / game
1 Trier184.6
2 Basketball Braunschweig182.5
3 Chemnitz177.1
4 Vechta177.0
5 Phoenix Hagen175.4
6 Hamburg174.1
7 Alba Berlin173.8
8 Rostock172.1
9 Ludwigsburg171.3
10 Bamberg170.8
11 Frankfurt170.7
12 Ulm169.6
13 Bonn168.9
14 Jena167.4
15 Syntainics MBC166.8
16 Bayern166.1
17 Wurzburg165.0
18 Oldenburg158.1
Where they rank · shooting accuracy
Field-goal accuracy
12thof 1845.3%
2-point accuracy
8thof 1855.5%
3-point accuracy
18thof 1826.2%
Free-throw accuracy
8thof 1873.9%
Made / attempted over the same games, every team of the league.
🎯 Field-goal accuracy
Made / attempted, every shot from the field
TeamAcc.
1 Trier52.3%
2 Bayern50.0%
3 Bonn48.6%
4 Frankfurt48.4%
5 Wurzburg48.3%
6 Chemnitz47.3%
7 Phoenix Hagen47.2%
8 Bamberg46.5%
9 Syntainics MBC46.4%
10 Basketball Braunschweig45.9%
11 Ludwigsburg45.5%
12 Ulm45.3%
13 Jena44.6%
14 Rostock44.0%
15 Oldenburg43.8%
16 Vechta43.7%
17 Alba Berlin43.7%
18 Hamburg40.5%
✋ 2-point accuracy
Made / attempted inside the arc
TeamAcc.
1 Trier61.2%
2 Bayern60.1%
3 Chemnitz59.3%
4 Phoenix Hagen58.1%
5 Basketball Braunschweig57.6%
6 Syntainics MBC56.1%
7 Vechta55.6%
8 Ulm55.5%
9 Frankfurt55.2%
10 Ludwigsburg54.6%
11 Jena54.5%
12 Alba Berlin54.3%
13 Wurzburg54.3%
14 Rostock54.3%
15 Bamberg54.1%
16 Bonn53.5%
17 Oldenburg51.1%
18 Hamburg50.4%
🌟 3-point accuracy
Made / attempted from three
TeamAcc.
1 Bonn41.8%
2 Wurzburg40.6%
3 Trier39.3%
4 Frankfurt38.1%
5 Ludwigsburg35.4%
6 Bamberg35.2%
7 Phoenix Hagen34.4%
8 Rostock34.1%
9 Bayern34.0%
10 Syntainics MBC33.2%
11 Alba Berlin32.0%
12 Jena31.9%
13 Basketball Braunschweig30.7%
14 Oldenburg30.5%
15 Hamburg29.9%
16 Vechta29.4%
17 Chemnitz27.8%
18 Ulm26.2%
🏹 Free-throw accuracy
Made / attempted at the line
TeamAcc.
1 Frankfurt82.6%
2 Alba Berlin82.2%
3 Phoenix Hagen77.4%
4 Basketball Braunschweig77.0%
5 Rostock76.5%
6 Chemnitz76.1%
7 Bayern74.1%
8 Ulm73.9%
9 Ludwigsburg73.4%
10 Wurzburg72.8%
11 Vechta72.5%
12 Jena72.4%
13 Hamburg71.8%
14 Trier71.6%
15 Syntainics MBC69.9%
16 Bonn69.9%
17 Bamberg68.8%
18 Oldenburg63.4%
🏀 Shooting accuracy
🎯 Overall field goals
45.3%-0.7pp v the BBL average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
5 of 10 shots go in · line = the BBL average
#12 of 18 in BBL
✋ 2-pointers
55.5%+0.0pp v the BBL average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
6 of 10 shots go in · line = the BBL average
#8 of 18 in BBL
🌟 3-pointers
26.2%-7.2pp v the BBL average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
3 of 10 shots go in · line = the BBL average
#18 of 18 in BBL
🏹 Free throws
73.9%+0.4pp v the BBL average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
7 of 10 shots go in · line = the BBL average
#8 of 18 in BBL

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.
UlmLeague average
93.4
Offensive rating
95.6
91.9
Defensive rating
95.6
52.2%
Effective FG%
53.4%
51.1%
Opp. effective FG%
53.4%
16.5%
Turnover %
16.0%
0.32
Free-throw rate
0.30
31.7%
3-point %
33.7%
40.0%
3-point attempt rate
43.0%
63.3%
Assist %
59.7%

Profile

Offence93.4 · 95.6Defence91.9 · 95.6Shooting52.2% · 53.4%3-point %31.7% · 33.7%Ball care16.5% · 16.0%Free throws0.32 · 0.30
■ Ulm   ■ 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 168.5HomeAwayClose wonForm
1 Bayern87188%96.070.1+20762%5-02-150%WWLWW
2 Trier76186%98.486.1+86100%4-02-1-WWWWW
3 Syntainics MBC86275%86.680.1+5238%4-02-267%WWWWW
4 Rostock85362%89.882.4+5950%4-01-325%WWLWW
5 Bonn85362%88.082.5+4444%5-00-3100%LWLWW
6 Ludwigsburg95456%86.185.2+856%2-23-250%WWLLW
7 Frankfurt64267%87.383.3+2467%2-02-250%WWWWL
8 Wurzburg74357%81.482.1-525%2-22-1-WLWWL
9 Bamberg84450%86.985.8+956%1-23-2-WLWWL
10 Oldenburg84450%74.482.0-6133%2-22-2100%LLLLW
11 Alba Berlin84450%86.287.8-1289%4-10-3-LLWLW
12 Basketball Braunschweig83538%86.096.5-8462%2-21-3100%LLLLL
13 Vechta83538%86.290.8-3688%2-31-2100%LWLWW
14 Ulm83538%82.586.4-3156%2-11-40%LLLWL
15 Hamburg82625%82.491.6-7467%1-21-467%LLLLW
16 Jena82625%77.988.6-8656%2-20-40%WLLLL
17 Chemnitz82625%87.190.0-2388%2-10-533%LLLWL
18 Phoenix Hagen92722%83.492.0-7778%1-41-30%WWLLL
Playoffs Play-in Relegation
Click a column header to sort. Over = how often the team's games went over 168.5; Close won = record in games decided by 5 or fewer.

📊 4. Betting markets

Bets by period · pick a period
UlmLast 20 – Full game points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Frankfurt
#15
W
103-64
103
64
+39
A10/05
BBL
Bamberg
#2
L
74-80
74
80
-6
A16/05
BBL
Bamberg
#2
L
87-90
87
90
-3
A18/05
BBL
Bamberg
#2
L
87-96
87
96
-9
H23/05
BBL
Ludwigsburg
#7
W
86-77
86
77
+9
H20/09
BBL
Phoenix Hagen
#17
W
93-78
93
78
+15
A25/09
BBL
Wurzburg
#9
L
67-90
67
90
-23
H27/09
BBL
Balkan
#32
W
98-84
98
84
+14
H30/09
Eurocup
Syntainics MBC
#3
L
72-89
72
89
-17
A03/10
BBL
Manresa
#8
L
89-101
89
101
-12
A07/10
Eurocup
Vechta
#13
L
92-97 OT
92
97
-5
A10/10
BBL
KK Bosna
#23
W
102-93
102
93
+9
H14/10
Eurocup
PAOK
#7
L
78-87
78
87
-9
A21/10
Eurocup
Alba Berlin
#8
L
82-98
82
98
-16
A25/10
BBL
Lietkabelis
#21
W
86-68
86
68
+18
A27/10
Eurocup
Oldenburg
#12
W
81-65
81
65
+16
H31/10
BBL
Bahcesehir Kol.
#3
L
82-96
82
96
-14
H03/11
Eurocup
Rostock
#6
L
87-97
87
97
-10
A07/11
BBL
BC Roma
#18
L
78-83
78
83
-5
A11/11
Eurocup
Jena
#18
W
97-78
97
78
+19
H14/11
BBL
Q1
Q2
Q3
Q4
31-24
30-8
19-16
23-16
26-16
15-19
16-18
17-27
18-22
24-19
18-32
27-17
28-27
19-20
19-32
21-17
18-15
17-12
23-30
28-20
27-21
16-16
27-21
23-20
24-16
9-25
22-21
12-28
31-17
23-22
21-20
23-25
24-20
17-18
16-23
15-28
24-31
21-31
24-20
20-19
20-20
27-13
14-26
23-25
26-26
26-23
26-16
24-28
20-19
22-27
13-13
23-28
18-23
25-22
16-23
23-30
22-25
28-17
17-9
19-17
18-20
26-12
16-20
21-13
19-19
17-35
24-14
22-28
21-29
24-29
21-15
21-24
15-11
19-24
16-27
28-21
33-11
17-28
30-16
17-23
171.6Avg total
86.0Scored
85.5Allowed
Full gameScoredAllowedTotalMarginWon the gameOver 168.5
Last 30 (30)84.184.5168.5-0.440%47%
Last 30 at home (13)86.183.6169.7+2.562%46%
Last 30 away (17)82.585.1167.6-2.624%47%
Last 10 (10)86.586.2172.7+0.340%60%
Last 5 (5)85.083.8168.8+1.240%60%
Last 30 games by opponent strength
vs Stronger (5)81.694.0175.6-12.40%60%
vs Similar (14)82.087.5169.5-5.529%43%
vs Weaker (11)87.876.3164.1+11.573%45%
Full game hit rates · last 30 games · line 168.5 = the league line
Over 168.547%
n=30
Under 168.553%
n=30
Won the game40%
n=30
Lost the game60%
n=30
Markets by opponent strength, home and away
this season, BBL 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 168.5)Team points (line 84.5)Margin (win)
SplitAllHomeAwayAllHomeAwayAllHomeAway
Overall (9)169.6160.2177.084.182.885.2-1.3+5.2-6.6
vs Stronger (2)172.5-172.579.5-79.5-13.5--13.5
vs Similar (4)172.2160.0184.581.876.587.0-8.8-7.0-10.5
vs Weaker (3)164.0160.5171.090.389.093.0+16.7+17.5+15.0
% over line / win56%25%80%56%50%60%44%75%20%
% under line / loss44%75%20%44%50%40%56%25%80%
Scoring dials
Points / game84.1
League avg 85.8 · below by 1.7
Allowed / game85.4
League avg 85.8 · below by 0.3
1st half scored42.3
League avg 42.6 · below by 0.3
3-pointers made6.0
League avg 9.6 · below by 3.6
Free throws made16.1
League avg 14.7 · above by 1.5
Over / under hit rate – this team's own points (this season)
Over 79.5 pts78%
n=9
Under 79.5 pts22%
n=9
Over 84.5 pts56%
n=9
Under 84.5 pts44%
n=9
Over 89.5 pts33%
n=9
Under 89.5 pts67%
n=9
Over / under hit rate – game total (the league's lines)
Over 158.578%
n=9
Under 158.522%
n=9
Over 168.556%
n=9
Under 168.544%
n=9
Over 178.533%
n=9
Under 178.567%
n=9
Result markets
Win44%
n=9
Win by 6+ (-5.5)44%
n=9
Cover +5.556%
n=9
Win by 10+33%
n=9
Win the 1st half67%
n=9
Overtime11%
n=9
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

Ulm: 84.7 points a game scored
🏀🏀55%
🏀🏀🏀29%
🏀16%
🏀🏀 2-pointers46.2 pts a game · 55% of the points
🏀🏀🏀 3-pointers24.6 pts a game · 29% of the points
🏀 Free throws13.9 pts a game · 16% of the points
League average for comparison: 85.4 points a game
49%
34%
17%

Shooting by shot type

Shot typeAttempts per gameMade per gameAccuracy
(made ÷ attempts)		League accuracyPoints per game
🏀🏀 2-pointers40.923.1
56.5%
55.6%46.2
🏀🏀🏀 3-pointers23.98.2
34.3%
33.7%24.6
🏀 Free throws19.913.9
69.8%
73.4%13.9
They take 64.8 shots from the field a game (2-pointers + 3-pointers); 23.9 of them are 3-pointers, so 37% 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

Ulm: 87.2 points a game allowed
🏀🏀50%
🏀🏀🏀30%
🏀20%
🏀🏀 2-pointers43.6 pts a game · 50% of the points
🏀🏀🏀 3-pointers25.8 pts a game · 30% of the points
🏀 Free throws17.8 pts a game · 20% of the points
League average for comparison: 85.4 points a game
49%
34%
17%

Shooting by shot type

Shot typeOpponents' Attempts per gameOpponents' Made per gameOpponents' Accuracy
(made ÷ attempts)		League accuracyPoints per game
🏀🏀 2-pointers39.421.8
55.3%
55.6%43.6
🏀🏀🏀 3-pointers26.18.6
33.0%
33.7%25.8
🏀 Free throws25.717.8
69.3%
73.4%17.8
Their opponents take 65.5 shots from the field a game (2-pointers + 3-pointers); 26.1 of them are 3-pointers, so 40% of those shots are threes (league average: 43%). Accuracy is green when they hold opponents below the league average.

👥 6. Squad statistics

PlayerCompGPGSMINPTSREBASTFG%3P%
I. Watson-BoyeEuroCup BBL121229.912.72.43.745.5%36.7%
M. RatajEuroCup BBL121227.214.84.51.658.6%37.5%
J. SimsEuroCup BBL11927.112.84.22.344.8%34.0%
O. ShittuEuroCup BBL12520.910.66.61.051.1%10.0%
A. TraoreEuroCup BBL12720.89.15.01.553.1%26.1%
A. AtamnaEuroCup BBL12620.18.12.23.239.6%29.5%
M. FayeEuroCup BBL12319.57.32.81.546.5%33.3%
Marvin HeckelEuroCup BBL12613.12.50.82.742.9%30.0%
Devin SchmidtEuroCup BBL11012.74.91.21.237.0%40.6%
Lenny LiedtkeEuroCup BBL1007.42.60.90.555.6%12.5%
D. KoromaEuroCup BBL1004.40.81.20.033.3%-
Lucas FischerEuroCup BBL3013.75.71.30.777.8%-
Nil Failenschmid ClaveraBBL101.20.00.00.00.0%0.0%
Z. MilicicBBL100.30.00.00.0--
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
5.6
12 rated players
J. Sims12.8 pts7.5
A. Traore9.1 pts7.2
M. Faye7.3 pts7.2
A. Atamna8.1 pts6.9
Lenny Liedtke2.6 pts6.5
Marvin Heckel2.5 pts6.5
D. Koroma0.8 pts6.0
M. Rataj14.8 pts4.9
Lucas Fischer5.7 pts4.7
O. Shittu10.6 pts4.6
Devin Schmidt4.9 pts3.8
I. Watson-Boye12.7 pts2.0
Player market rates – share of games
10+ points
Games in which the player scored 10 or more
I. Watson-Boye83%
M. Rataj83%
J. Sims82%
O. Shittu58%
A. Atamna50%
A. Traore42%
Lucas Fischer33%
M. Faye17%
Lenny Liedtke10%
Devin Schmidt9%
15+ points
Games with 15 or more points
M. Rataj58%
J. Sims36%
I. Watson-Boye25%
O. Shittu25%
Devin Schmidt9%
A. Traore0%
A. Atamna0%
M. Faye0%
Lucas Fischer0%
Marvin Heckel0%
20+ points
Games with 20 or more points
M. Rataj25%
J. Sims9%
I. Watson-Boye0%
O. Shittu0%
A. Traore0%
A. Atamna0%
M. Faye0%
Lucas Fischer0%
Marvin Heckel0%
Devin Schmidt0%
5+ rebounds
Games with 5 or more rebounds
O. Shittu75%
M. Rataj58%
A. Traore50%
J. Sims45%
Devin Schmidt9%
I. Watson-Boye8%
A. Atamna8%
M. Faye0%
Lucas Fischer0%
Marvin Heckel0%
5+ assists
Games with 5 or more assists
A. Atamna33%
Marvin Heckel33%
I. Watson-Boye25%
J. Sims9%
M. Rataj0%
O. Shittu0%
A. Traore0%
M. Faye0%
Lucas Fischer0%
Devin Schmidt0%
2+ three-pointers
Games with 2 or more threes made
I. Watson-Boye58%
J. Sims45%
A. Atamna42%
Devin Schmidt27%
M. Rataj25%
M. Faye17%
O. Shittu0%
A. Traore0%
Lucas Fischer0%
Marvin Heckel0%
20+ points, rebounds & assists
PRA: points + rebounds + assists
I. Watson-Boye58%
M. Rataj58%
O. Shittu42%
J. Sims36%
A. Traore33%
Devin Schmidt9%
A. Atamna0%
M. Faye0%
Lucas Fischer0%
Marvin Heckel0%
3+ three-pointers
Games with 3 or more threes made
I. Watson-Boye33%
J. Sims18%
Devin Schmidt9%
M. Rataj8%
A. Atamna8%
O. Shittu0%
A. Traore0%
M. Faye0%
Lucas Fischer0%
Marvin Heckel0%
🏀 Shooting accuracy per player
🎯 Field-goal accuracy
Made / attempted, every shot from the field (30+ attempts)
PlayerAcc.
M. Rataj59%
A. Traore53%
O. Shittu51%
M. Faye46%
I. Watson-Boye45%
J. Sims45%
A. Atamna40%
Devin Schmidt37%
✋ 2-point accuracy
Made / attempted inside the arc (20+ attempts)
PlayerAcc.
M. Rataj64%
A. Traore64%
O. Shittu56%
M. Faye55%
I. Watson-Boye54%
J. Sims53%
A. Atamna49%
🌟 3-point accuracy
Made / attempted from three (15+ attempts)
PlayerAcc.
Devin Schmidt41%
M. Rataj38%
I. Watson-Boye37%
J. Sims34%
M. Faye33%
A. Atamna30%
A. Traore26%
🏹 Free-throw accuracy
Made / attempted at the line (10+ attempts)
PlayerAcc.
I. Watson-Boye87%
Marvin Heckel82%
A. Traore77%
O. Shittu77%
M. Rataj73%
A. Atamna71%
J. Sims61%
M. Faye54%
Lenny Liedtke50%
this season, 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
64%favourite won, 2025-260%100%
📊 The record behind it
35-20favourite won / lost
Across 55 games of Ulm, 2025-26: Pythia (Version 5) picked the winner 64% of the time. Walk-forward: every forecast made only from games before it.
📅 Next game
Balkan
v
Ulm
Tue 17 Nov, 17:00 UTC
Pythia: Ulm 76%
home 24%away 76%
Open the game page →
🔥 Top picks · next game: Balkan v Ulm Tue 17 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
Ulm over 79.572.8%1.60
Betano
1.60		----+16.1pp
Over 153.570.9%1.57
Betano
1.57		----+12.0pp
Ulm (regulation)73.7%1.45
Betano
1.45		----+11.5pp
Ulm -1.573.9%1.45
Betano
1.45		----+10.4pp
Ulm win76.0%1.39
Betano
1.39		----+9.4pp
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🔒 24 more picks for this game · Unlock all Best Picks & everything else with Pro

📅 8. Season v history

Metric2022-23
n=45		2023-24
n=38		2024-25
n=45		2025-26
n=37		2026-27
n=9		Trend
Points scored / game88.889.386.382.884.1
Points allowed / game85.282.579.779.285.4
Game total174.0171.7166.0162.1169.6
Over 158.576%79%67%59%78%
Over 168.562%55%44%35%56%
Over 178.536%37%24%22%33%
Team points over 84.553%66%56%41%56%
Win %60%66%69%51%44%
Home win %68%68%91%67%75%
Away win %52%63%45%37%20%
Margin / game+3.5+6.8+6.6+3.6-1.3
Won by 10+38%45%47%27%33%
Close games won (5 or fewer)62%40%56%36%0%
Overtime %11%8%4%3%11%
1st half total86.287.381.580.781.2
Won the 1st half47%68%60%59%67%
3-point attempt rate51%42%45%42%35%
Effective FG%54%55%55%50%50%
Pace75.476.476.676.2-
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
14 NovUlm v Jena BBL97-78W
11 NovBC Roma v Ulm Eurocup83-78L
07 NovRostock v Ulm BBL97-87L
03 NovUlm v Bahcesehir Kol. Eurocup82-96L
31 OctUlm v Oldenburg BBL81-65W
27 OctLietkabelis v Ulm Eurocup68-86W
25 OctAlba Berlin v Ulm BBL98-82L
21 OctPAOK v Ulm Eurocup87-78L
14 OctUlm v KK Bosna Eurocup102-93W
10 OctVechta v Ulm BBL97-92 OTL
Upcoming games
17:00TueR8Balkan v Ulm24%76%BAL2.77ULM1.3914:00SunR10Bonn v Ulm67%33%BON-ULM-19:00MonR11Ulm v Bambergno forecast yetULM-BAM-18:00WedR9Ulm v Manresano forecast yetULM-MAN-
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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