PythiaBasketballBETA Best Picks Games Leagues Teams Players Pro Picks PRO Validation Research Pricing Log in
Teams › ABA › Cluj-Napoca← All teams

Cluj-Napoca

Romania EuroCup 2-5 · 8/8 Group 4 ABA 2-4 · 7/10 Group 2
Form, last 10 (oldest → newest)
LWLLWLLLLL
Points / game
88.9
allowed 89.3
Over 168.5
74%
game total, 34 games
Game total
178.2
both teams per game
Win rate
50%
17-17
Margin / game
-0.4
points
1st half
45.1
points scored / game
Overtime
6%
games to overtime
Sections
Cluj-Napoca

Cluj-Napoca in the 2026-27 season have posted a 4-9 record, struggling in both the EuroCup and ABA League where they finished 8th of 8 and 7th of 10 respectively, with 2-5 and 2-4 records. Their last five games have been winless, and recent losses include a 81-89 home defeat to Turk Telekom (EuroCup) and a 91-93 home loss to KK Bosna (ABA), as well as a 73-113 away loss to Tenerife (EuroCup). In the ABA League the team sits 12th out of 20 with a net rating of -3.8, down from 10th a few games ago. Home play has yielded a 2-4 record with 87.8 points for and 88.8 against, while away games are 2-5 with 80.7 for and 94.3 against. Javonte Smart leads in scoring at 16.1 per game, Uros Plavsic pulls down 7.6 rebounds, and Otis Livingston discharges 5.0 assists. Their next outing is a home EuroCup match against Maxima Roma on 18 November, where the Pythia model projects a 43% chance of victory.

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

Cluj-Napoca stats, form & predictions – 2026

In the ABA League (2025 + 2026) Cluj-Napoca score 88.9 points a game and allow 89.3 across 34 games – 74% of their games go over 168.5 and they clear 84.5 team points in 68%. They win 50% (59% at home, 41% away), by -0.4 points a game on average.

🏀 1. Points & form

Cluj-NapocaLast 20 – points for & against, every competition
Opponent
Position
Result
Score
Points
Margin
🔥 FormCluj-Napoca
Date
Competition
SCM Craiova
#7
W
85-74
85
74
+11
88avg 86
A16/05
Divizia A
SCM Craiova
#7
W
103-83
103
83
+20
105avg 86
H20/05
Divizia A
CSM Oradea
#2
L
84-87
84
87
-3
69avg 86
A26/05
Divizia A
CSM Oradea
#2
W
88-83
88
83
+5
80avg 86
A28/05
Divizia A
CSM Oradea
#2
W
103-78
103
78
+25
104avg 86
H01/06
Divizia A
CSM Oradea
#2
W
74-72
74
72
+2
68avg 86
H03/06
Divizia A
Maxima Roma
#11
L
55-89
55
89
-34
40avg 86
A30/09
Eurocup
Vienna Basket
#15
W
95-84
95
84
+11
98avg 86
A03/10
ABA League
Venezia
#14
W
98-92
98
92
+6
93avg 86
H07/10
Eurocup
Dubai
#1
L
85-92
85
92
-7
76avg 86
H11/10
ABA League
Siauliai
#19
W
93-75
93
75
+18
97avg 86
A14/10
Eurocup
Spartak Subotica
#6
L
75-89
75
89
-14
65avg 86
A18/10
ABA League
London Lions
#9
L
72-89
72
89
-17
72avg 86
H21/10
Eurocup
Studentski Centar
#20
W
100-78
100
78
+22
98avg 86
H23/10
ABA League
Frankfurt
#22
L
97-113
97
113
-16
94avg 86
A27/10
Eurocup
Partizan
#2
L
77-97
77
97
-20
no box
A02/11
ABA League
Tenerife
#5
L
73-113
73
113
-40
no box
A05/11
Eurocup
KK Bosna
#7
L
91-93
91
93
-2
no box
H08/11
ABA League
Turk Telekom
#16
L
81-89
81
89
-8
no box
H10/11
Eurocup
Perspektiva Ilirija
#18
W
77-71
77
71
+6
no box
H14/11
ABA League
Q1
Q2
Q3
Q4
27-18
24-17
17-19
17-20
29-18
30-15
19-27
25-23
28-22
14-27
29-22
13-16
24-28
21-11
22-22
21-22
28-19
27-22
25-26
23-11
15-20
18-16
27-16
14-20
18-34
12-21
10-27
15-7
25-19
20-22
21-15
29-28
21-27
19-23
29-19
29-23
20-20
25-16
14-32
26-24
16-26
25-14
25-20
27-15
17-27
17-24
20-16
21-22
22-21
15-19
18-24
17-25
24-16
29-30
27-15
20-17
29-30
22-32
22-28
24-23
18-34
31-23
17-19
11-21
19-36
22-23
11-28
21-26
23-25
29-17
21-23
18-28
19-21
14-31
30-21
18-16
16-13
23-15
14-21
24-22
172.3Avg total
85.3Scored
87.0Allowed
Points by quarter
Q1
22.7
22.9
-0.1
won 53%
Q2
22.4
20.9
+1.4
won 53%
Q3
22.8
21.4
+1.4
won 56%
Q4
20.6
23.6
-3.0
won 44%
■ scored   ■ allowed, per game. Won the 1st half in 62% of 34 games, the 2nd half in 50%.
Home v away – all metrics
HOME n=17AWAY n=17
91.7
Points / game
86.1
88.5
Allowed / game
90.1
180.2
Game total
176.2
88%
Over 168.5
59%
59%
Win %
41%
+3.2
Margin
-4.0
46.6
1st half scored
43.5
76%
Won the 1st half
47%
41%
Won by 10+
18%
Points scored per game
6%12%18%24%6%70-7418%75-799%80-8415%85-8924%90-9415%95-996%100-1049%105-109
Share of games.
Points allowed per game
5%10%15%21%3%65-696%70-746%75-7918%80-8421%85-8921%90-9415%95-990%100-1040%105-10912%110-114
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 84.4 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)85.188.087.685.782.890.150%
vs Stronger (15)80.194.883.793.777.895.620%
vs Similar (7)87.481.186.278.589.084.771%
vs Weaker (8)92.281.495.081.089.581.888%
Over 168.5 (game total)63% of these 30 games

💪 2. Team strengths

Where they rank
Win %
=8thof 22 · 2 level50%
Attack: points scored per game
5thof 2288.9
Defence: points allowed per game
19thof 2289.3
Game total: both teams' points per game
1stof 22178.2
Ranked against the 22 teams of the league over 2025 + 2026. Ties share a place (=); defence ranks the fewest points allowed first.
📈 Game total
Both teams' points / game
Where they rank · shooting accuracy
Field-goal accuracy
6thof 2249.7%
2-point accuracy
6thof 2258.4%
3-point accuracy
7thof 2236.9%
Free-throw accuracy
8thof 2275.9%
Made / attempted over the same games, every team of the league.
🎯 Field-goal accuracy
Made / attempted, every shot from the field
✋ 2-point accuracy
Made / attempted inside the arc
🌟 3-point accuracy
Made / attempted from three
🏹 Free-throw accuracy
Made / attempted at the line
🏀 Shooting accuracy
🎯 Overall field goals
49.7%+2.9pp v the ABA average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
5 of 10 shots go in · line = the ABA average
#6 of 22 in ABA
✋ 2-pointers
58.4%+3.3pp v the ABA average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
6 of 10 shots go in · line = the ABA average
#6 of 22 in ABA
🌟 3-pointers
36.9%+2.1pp v the ABA average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
4 of 10 shots go in · line = the ABA average
#7 of 22 in ABA
🏹 Free throws
75.9%+1.0pp v the ABA average
🏀🏀🏀🏀🏀🏀🏀🏀🏀🏀
8 of 10 shots go in · line = the ABA average
#8 of 22 in ABA

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.
Cluj-NapocaLeague average
97.3
Offensive rating
99.3
97.7
Defensive rating
99.3
55.3%
Effective FG%
54.4%
53.7%
Opp. effective FG%
54.4%
15.3%
Turnover %
14.8%
0.32
Free-throw rate
0.35
34.0%
3-point %
33.1%
41.3%
3-point attempt rate
39.0%
65.2%
Assist %
60.1%

Profile

Offence97.3 · 99.3Defence97.7 · 99.3Shooting55.3% · 54.4%3-point %34.0% · 33.1%Ball care15.3% · 14.8%Free throws0.32 · 0.35
■ Cluj-Napoca   ■ 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

Group 1

#TeamGPWLWin %PF/gPA/g+/-Over 168.5HomeAwayClose wonForm
1 Crvena zvezda65183%93.283.5+5883%3-02-150%WWWWW
2 Buducnost65183%87.778.2+5757%2-03-167%LWWWW
3 Cedevita Olimpija64267%85.580.0+3350%2-12-10%LWLWW
4 Siroki Brijeg74357%85.985.0+657%1-23-1100%WLLLW
5 Slovan Bratislava63350%82.284.5-1467%1-02-3100%WLWWL
6 Borac Mozzart63350%84.790.2-3367%1-22-1100%WWWLL
7 Cibona73443%86.088.1-1557%2-31-150%LWLWW
8 Igokea62433%82.883.2-257%1-31-150%LLLWL
9 FMP Beograd72529%79.983.1-2343%1-21-333%LLLLL
10 KK Krka Novo mesto71614%74.083.6-6743%1-40-20%LLLWL

Group 2

#TeamGPWLWin %PF/gPA/g+/-Over 168.5HomeAwayClose wonForm
1 Partizan660100%90.376.3+8457%4-02-0100%WWWWW
2 Dubai660100%94.281.7+7567%2-04-0-WWWWW
3 KK Bosna64267%90.587.3+19100%0-24-050%WLLWW
4 Spartak Subotica64267%84.380.5+2333%2-22-050%WWLWW
5 Vienna Basket62433%80.583.2-1667%1-31-1-LWLLW
6 Mega Basket62433%82.392.7-6267%1-21-20%WLWLL
7 Cluj-Napoca62433%87.288.8-1071%1-21-20%LLWLL
8 Zadar62433%74.276.2-1214%2-00-4-LLWLL
9 Perspektiva Ilirija62433%76.080.0-240%1-31-1100%LWLWL
10 Studentski Centar6060%81.093.8-7767%0-20-40%LLLLL
Winners stage
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
Cluj-NapocaLast 20 – Full game points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
SCM Craiova
#7
W
85-74
85
74
+11
A16/05
Divizia A
SCM Craiova
#7
W
103-83
103
83
+20
H20/05
Divizia A
CSM Oradea
#2
L
84-87
84
87
-3
A26/05
Divizia A
CSM Oradea
#2
W
88-83
88
83
+5
A28/05
Divizia A
CSM Oradea
#2
W
103-78
103
78
+25
H01/06
Divizia A
CSM Oradea
#2
W
74-72
74
72
+2
H03/06
Divizia A
Maxima Roma
#11
L
55-89
55
89
-34
A30/09
Eurocup
Vienna Basket
#15
W
95-84
95
84
+11
A03/10
ABA League
Venezia
#14
W
98-92
98
92
+6
H07/10
Eurocup
Dubai
#1
L
85-92
85
92
-7
H11/10
ABA League
Siauliai
#19
W
93-75
93
75
+18
A14/10
Eurocup
Spartak Subotica
#6
L
75-89
75
89
-14
A18/10
ABA League
London Lions
#9
L
72-89
72
89
-17
H21/10
Eurocup
Studentski Centar
#20
W
100-78
100
78
+22
H23/10
ABA League
Frankfurt
#22
L
97-113
97
113
-16
A27/10
Eurocup
Partizan
#2
L
77-97
77
97
-20
A02/11
ABA League
Tenerife
#5
L
73-113
73
113
-40
A05/11
Eurocup
KK Bosna
#7
L
91-93
91
93
-2
H08/11
ABA League
Turk Telekom
#16
L
81-89
81
89
-8
H10/11
Eurocup
Perspektiva Ilirija
#18
W
77-71
77
71
+6
H14/11
ABA League
Q1
Q2
Q3
Q4
27-18
24-17
17-19
17-20
29-18
30-15
19-27
25-23
28-22
14-27
29-22
13-16
24-28
21-11
22-22
21-22
28-19
27-22
25-26
23-11
15-20
18-16
27-16
14-20
18-34
12-21
10-27
15-7
25-19
20-22
21-15
29-28
21-27
19-23
29-19
29-23
20-20
25-16
14-32
26-24
16-26
25-14
25-20
27-15
17-27
17-24
20-16
21-22
22-21
15-19
18-24
17-25
24-16
29-30
27-15
20-17
29-30
22-32
22-28
24-23
18-34
31-23
17-19
11-21
19-36
22-23
11-28
21-26
23-25
29-17
21-23
18-28
19-21
14-31
30-21
18-16
16-13
23-15
14-21
24-22
172.3Avg total
85.3Scored
87.0Allowed
Full gameScoredAllowedTotalMarginWon the gameOver 168.5
Last 30 (30)85.188.0173.1-3.050%63%
Last 30 at home (14)87.685.7173.4+1.957%71%
Last 30 away (16)82.890.1172.9-7.244%56%
Last 10 (10)83.690.7174.3-7.130%60%
Last 5 (5)79.892.6172.4-12.820%80%
Last 30 games by opponent strength
vs Stronger (15)80.194.8174.9-14.720%60%
vs Similar (7)87.481.1168.6+6.371%71%
vs Weaker (8)92.281.4173.6+10.988%62%
Full game hit rates · last 30 games · line 168.5 = the league line
Over 168.563%
n=30
Under 168.537%
n=30
Won the game50%
n=30
Lost the game50%
n=30
Markets by opponent strength, home and away
2025 + 2026, ABA 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 (34)178.2180.2176.288.991.786.1-0.4+3.2-4.0
vs Stronger (15)176.8185.4169.283.287.479.5-10.4-10.6-10.2
vs Similar (11)174.7170.8179.490.090.090.0+5.3+9.2+0.6
vs Weaker (8)185.8185.2186.298.1101.894.5+10.5+18.2+2.8
% over line / win74%88%59%68%88%47%50%59%41%
% under line / loss26%12%41%32%12%53%50%41%59%
Scoring dials
Points / game88.9
League avg 84.4 · above by 4.5
Allowed / game89.3
League avg 84.4 · above by 4.9
1st half scored45.1
League avg 42.5 · above by 2.5
3-pointers made9.7
League avg 7.9 · above by 1.8
Free throws made14.9
League avg 15.9 · below by 1.0
Over / under hit rate – this team's own points (2025 + 2026)
Over 79.5 pts76%
🔥 70%+n=34
Under 79.5 pts24%
n=34
Over 84.5 pts68%
n=34
Under 84.5 pts32%
n=34
Over 89.5 pts53%
n=34
Under 89.5 pts47%
n=34
Over / under hit rate – game total (the league's lines)
Over 158.588%
🔥 70%+n=34
Under 158.512%
n=34
Over 168.574%
🔥 70%+n=34
Under 168.526%
n=34
Over 178.550%
n=34
Under 178.550%
n=34
Result markets
Win50%
n=34
Win by 6+ (-5.5)38%
n=34
Cover +5.559%
n=34
Win by 10+29%
n=34
Win the 1st half62%
n=34
Overtime6%
n=34
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

Cluj-Napoca: 84.2 points a game scored
🏀🏀53%
🏀🏀🏀31%
🏀16%
🏀🏀 2-pointers45.0 pts a game · 53% of the points
🏀🏀🏀 3-pointers26.1 pts a game · 31% of the points
🏀 Free throws13.1 pts a game · 16% of the points
League average for comparison: 82.7 points a game
52%
29%
19%

Shooting by shot type

Shot typeAttempts per gameMade per gameAccuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers37.722.5
59.7%
57.4%45.0
🏀🏀🏀 3-pointers25.88.7
33.7%
33.1%26.1
🏀 Free throws18.113.1
72.4%
73.2%13.1
They take 63.5 shots from the field a game (2-pointers + 3-pointers); 25.8 of them are 3-pointers, so 41% of their shots are threes (league average: 39%). Accuracy is green when it beats the league average.
Defencetheir opponents' shots, last 10 games

Where their opponents' points come from

Cluj-Napoca: 87.1 points a game allowed
🏀🏀54%
🏀🏀🏀25%
🏀21%
🏀🏀 2-pointers47.0 pts a game · 54% of the points
🏀🏀🏀 3-pointers22.2 pts a game · 25% of the points
🏀 Free throws17.9 pts a game · 21% of the points
League average for comparison: 82.7 points a game
52%
29%
19%

Shooting by shot type

Shot typeOpponents' Attempts per gameOpponents' Made per gameOpponents' Accuracy
(made ÷ attempts)
League accuracyPoints per game
🏀🏀 2-pointers42.223.5
55.7%
57.4%47.0
🏀🏀🏀 3-pointers22.87.4
32.5%
33.1%22.2
🏀 Free throws24.717.9
72.5%
73.2%17.9
Their opponents take 65.0 shots from the field a game (2-pointers + 3-pointers); 22.8 of them are 3-pointers, so 35% of those shots are threes (league average: 39%). Accuracy is green when they hold opponents below the league average.

👥 6. Squad statistics

PlayerCompGPGSMINPTSREBASTFG%3P%
Javonte SmartEuroCup ABA9828.016.14.14.345.9%40.6%
J. McCrearyEuroCup ABA9924.312.44.01.159.7%35.7%
Kristian KullamaeEuroCup ABA9623.211.23.32.945.1%31.7%
Uros PlavsicEuroCup ABA8723.811.57.62.663.6%0.0%
Javon BessEuroCup ABA9620.05.13.11.153.3%40.0%
Otis LivingstonEuroCup ABA8222.27.90.85.036.2%42.4%
C. BishopEuroCup ABA9218.510.03.91.663.8%0.0%
Bogdan NicolescuEuroCup ABA9116.23.31.40.344.0%36.8%
Malcolm HillEuroCup ABA9414.97.21.71.245.2%33.3%
II Patrick Neal RichardEuroCup ABA807.11.10.90.860.0%66.7%
L. IllesEuroCup ABA507.41.01.40.822.2%0.0%
Dusan BeslacEuroCup1024.310.07.00.040.0%0.0%
R. A. CepoiEuroCup ABA201.90.00.00.0--
T. BernatEuroCup101.30.01.00.0--
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
4.3
12 rated players
Jeff Taylor3.3 pts10.0
C. Bishop10.0 pts9.0
Uros Plavsic11.5 pts6.5
R. A. Cepoi0.4 pts5.6
N. Ceaser8.6 pts5.4
I. Molinar13.2 pts5.1
Karel Guzman9.9 pts5.0
Malcolm Hill7.2 pts5.0
Trey Woodbury8.4 pts4.6
Otis Livingston7.9 pts4.4
Javon Bess5.1 pts3.9
Javonte Smart16.1 pts3.3
J. McCreary12.4 pts3.2
L. Illes1.0 pts1.1
Dusan Miletic12.7 pts0.9
Daron Russell17.8 pts0.0
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 + 2026, 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
79%favourite won, 2025-260%100%
📊 The record behind it
37-10favourite won / lost
Across 47 games of Cluj-Napoca, 2025-26: Pythia (Version 5) picked the winner 79% of the time. Walk-forward: every forecast made only from games before it.
📅 Next game
Cluj-Napoca
v
Maxima Roma
Wed 18 Nov, 17:00 UTC
Pythia: Maxima Roma 57%
home 43%away 57%
Open the game page →
🔥 Top picks · next game: Cluj-Napoca v Maxima Roma Wed 18 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
1st half: Under 92.570.8%1.53
Betano
1.53
----+9.7pp
Cluj-Napoca under 91.570.7%1.38
Betano
1.39
1xBet
1.36
---+6.1pp
Under 184.575.2%1.33
Betano
1.33
----+5.9pp
Maxima Roma under 95.577.2%1.24
Betano
1.24
----+4.0pp
Maxima Roma +7.577.5%1.24
Betano
1.24
----+3.2pp
■■■■■■ ■■■■■%■■%■■%■■%■■%■■%■■%■■%
■■■■■■ ■■■■■%■■%■■%■■%■■%■■%■■%■■%
■■■■■■ ■■■■■%■■%■■%■■%■■%■■%■■%■■%
■■■■■■ ■■■■■%■■%■■%■■%■■%■■%■■%■■%
🔒 19 more picks for this game · Unlock all Best Picks & everything else with Pro

📅 8. Season v history

Metric2025
n=27
2026
n=7
Trend
Points scored / game89.785.7
Points allowed / game90.186.3
Game total179.9172.0
Over 158.589%86%
Over 168.574%71%
Over 178.556%29%
Team points over 84.570%57%
Win %52%43%
Home win %62%50%
Away win %43%33%
Margin / game-0.4-0.6
Won by 10+30%29%
Close games won (5 or fewer)67%0%
Overtime %7%0%
1st half total89.088.3
Won the 1st half59%71%
3-point attempt rate41%42%
Effective FG%57%59%
Pace80.6-–
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 NovCluj-Napoca v Perspektiva Ilirija ABA League77-71W
10 NovCluj-Napoca v Turk Telekom Eurocup81-89L
08 NovCluj-Napoca v KK Bosna ABA League91-93L
05 NovTenerife v Cluj-Napoca Eurocup113-73L
02 NovPartizan v Cluj-Napoca ABA League97-77L
27 OctFrankfurt v Cluj-Napoca Eurocup113-97L
23 OctCluj-Napoca v Studentski Centar ABA League100-78W
21 OctCluj-Napoca v London Lions Eurocup72-89L
18 OctSpartak Subotica v Cluj-Napoca ABA League89-75L
14 OctSiauliai v Cluj-Napoca Eurocup75-93W
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

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.