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

MBA Moscow W vs Botas W Result & Analysis

Date: Thu 03 Jan 2019
Tip-off: 13:00
Final 77-76
24-12 16-27 21-20 16-17
Position#17
Record3-3
FormLWWLW
Points / game76.5
Allowed / game73.3
vs
Position#18
Record4-2
FormWLWWL
Points / game80.8
Allowed / game71.8
EuropeEuroCup Women
Women2018-19
Sections

🎯 1. Model Analysis

MBA Moscow W winWon
-no forecast
Best oddsnone
Implied-
Edge-
Botas W winLost
-no forecast
Best oddsnone
Implied-
Edge-
No frozen forecast was made for this game before tip-off.

🏀 2. Points Analysis

MBA Moscow WLast 10 – points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Inventa Kursk W
#4
W
73-67
73
67
+6
H04/11
Premier League W
Galatasaray W
#10
L
67-89
67
89
-22
H08/11
EuroCup Women
Ekaterinburg W
#1
L
74-99
74
99
-25
H11/11
Russian Cup W
Ekaterinburg W
#1
L
39-115
39
115
-76
A25/11
Premier League W
Torun W
#11
L
86-95
86
95
-9
A29/11
EuroCup Women
Nadezhda W
#3
L
69-77
69
77
-8
A02/12
Premier League W
Lefkadas W
#40
W
93-59
93
59
+34
H06/12
EuroCup Women
Noginsk W
#9
W
70-60
70
60
+10
H09/12
Premier League W
Galatasaray W
#10
L
45-59
45
59
-14
A12/12
EuroCup Women
Novosibirsk W
#8
W
82-61
82
61
+21
A16/12
Premier League W
Q1
Q2
Q3
Q4
18-16
18-15
26-10
11-26
22-20
20-26
11-21
14-22
23-23
10-29
22-21
19-26
15-33
10-22
11-23
3-37
24-23
13-25
21-25
28-22
18-22
19-17
23-22
9-16
29-14
25-15
15-13
24-17
24-15
12-21
16-13
18-11
12-16
14-18
10-11
9-14
23-16
21-18
12-13
26-14
147.9Avg total
69.8Scored
78.1Allowed
SplitScoredAllowedTotalMarginWin %
Season (6)76.573.3149.8+3.250%
Season at home (3)82.076.7158.7+5.367%
Season away (3)71.070.0141.0+1.033%
Last 10 (10)69.878.1147.9-8.340%
Last 5 (5)71.863.2135.0+8.660%
Last 30 games by opponent strength
vs Stronger ◀ (11)66.588.6155.1-22.218%
vs Similar (13)71.572.4143.8-0.954%
vs Weaker (5)81.660.6142.2+21.0100%
This opponent (Botas W) is Stronger. The matching 'vs' row is the one to weigh.
Botas WLast 10 – points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Besiktas W
#7
W
70-69
70
69
+1
H25/11
KBSL W
Umea W
#44
W
89-67
89
67
+22
H29/11
EuroCup Women
Izmit Bld. W
#9
W
84-71
84
71
+13
A02/12
KBSL W
Cukurova W
#1
L
63-84
63
84
-21
A06/12
EuroCup Women
Fenerbahce W
#1
L
46-62
46
62
-16
H09/12
KBSL W
Beroe W
#33
W
90-79
90
79
+11
H13/12
EuroCup Women
Cukurova W
#2
L
56-78
56
78
-22
A16/12
KBSL W
Ormanspor W
#8
W
71-64
71
64
+7
H22/12
KBSL W
Adana BK W
#11
W
79-53
79
53
+26
A26/12
KBSL W
Galatasaray W
#6
L
60-68
60
68
-8
H29/12
KBSL W
Q1
Q2
Q3
Q4
18-21
22-23
19-15
11-10
16-20
20-16
20-14
33-17
21-24
21-14
16-23
26-10
22-16
16-20
11-25
14-23
11-12
13-15
11-23
11-12
26-25
18-16
27-19
19-19
10-20
12-12
12-27
22-19
16-14
19-14
17-23
19-13
22-17
19-11
17-17
21-8
11-18
17-20
20-17
12-13
140.3Avg total
70.8Scored
69.5Allowed
SplitScoredAllowedTotalMarginWin %
Season (6)80.871.8152.7+9.067%
Season at home (3)80.777.0157.7+3.767%
Season away (3)81.066.7147.7+14.367%
Last 10 (10)70.869.5140.3+1.360%
Last 5 (5)71.268.4139.6+2.860%
Last 30 games by opponent strength
vs Stronger (7)61.977.1139.0-15.314%
vs Similar (8)65.266.4131.6-1.150%
vs Weaker ◀ (14)79.662.7142.3+16.993%
This opponent (MBA Moscow W) is Weaker. 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

-6-3+0+3+6Q1Q1: +1.0+1.0Q1: -1.4-1.4Q2Q2: -4.4-4.4Q2: +1.6+1.6Q3Q3: -0.5-0.5Q3: -3.3-3.3Q4Q4: -4.4-4.4Q4: +4.4+4.4
MBA Moscow WBotas W
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
MBA Moscow WLast 10 – 1st half points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Inventa Kursk W
#4
W
36-31
36
31
+5
H04/11
Premier League W
Galatasaray W
#10
L
42-46
42
46
-4
H08/11
EuroCup Women
Ekaterinburg W
#1
L
33-52
33
52
-19
H11/11
Russian Cup W
Ekaterinburg W
#1
L
25-55
25
55
-30
A25/11
Premier League W
Torun W
#11
L
37-48
37
48
-11
A29/11
EuroCup Women
Nadezhda W
#3
L
37-39
37
39
-2
A02/12
Premier League W
Lefkadas W
#40
W
54-29
54
29
+25
H06/12
EuroCup Women
Noginsk W
#9
D
36-36
36
36
+0
H09/12
Premier League W
Galatasaray W
#10
L
26-34
26
34
-8
A12/12
EuroCup Women
Novosibirsk W
#8
W
44-34
44
34
+10
A16/12
Premier League W
77.4Avg total
37.0Scored
40.4Allowed
1st halfScoredAllowedTotalMarginWon the halfOver main line
Last 30 (30)38.438.276.6+0.247%-
Last 30 at home (13)39.438.778.1+0.746%-
Last 30 away (17)37.637.875.5-0.247%-
Last 10 (10)37.040.477.4-3.430%-
Last 5 (5)39.434.473.8+5.040%-
Last 30 games by opponent strength
vs Stronger ◀ (11)34.544.178.6-9.518%-
vs Similar (13)38.336.674.9+1.754%-
vs Weaker (5)43.831.074.8+12.880%-
This opponent (Botas W) is Stronger. The matching 'vs' row is the one to weigh.
Botas WLast 10 – 1st half points for & against
Opponent
Position
Result
Score
Points
Margin
Date
Competition
Besiktas W
#7
L
40-44
40
44
-4
H25/11
KBSL W
Umea W
#44
D
36-36
36
36
+0
H29/11
EuroCup Women
Izmit Bld. W
#9
W
42-38
42
38
+4
A02/12
KBSL W
Cukurova W
#1
W
38-36
38
36
+2
A06/12
EuroCup Women
Fenerbahce W
#1
L
24-27
24
27
-3
H09/12
KBSL W
Beroe W
#33
W
44-41
44
41
+3
H13/12
EuroCup Women
Cukurova W
#2
L
22-32
22
32
-10
A16/12
KBSL W
Ormanspor W
#8
W
35-28
35
28
+7
H22/12
KBSL W
Adana BK W
#11
W
41-28
41
28
+13
A26/12
KBSL W
Galatasaray W
#6
L
28-38
28
38
-10
H29/12
KBSL W
69.8Avg total
35.0Scored
34.8Allowed
1st halfScoredAllowedTotalMarginWon the halfOver main line
Last 30 (30)36.134.770.8+1.450%-
Last 30 at home (16)36.233.669.8+2.650%-
Last 30 away (14)35.936.071.9-0.150%-
Last 10 (10)35.034.869.8+0.250%-
Last 5 (5)34.033.467.4+0.660%-
Last 30 games by opponent strength
vs Stronger (7)31.638.770.3-7.129%-
vs Similar (8)32.634.567.1-1.938%-
vs Weaker ◀ (14)40.332.672.9+7.771%-
This opponent (MBA Moscow W) is Weaker. 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.

🎯 8. Shooting Profile

No box scores for these teams yet: the shooting profile appears once the data provider has them.

💪 9. Team Strengths

Side by side

Not enough box scores for both teams yet (the data provider has box scores for the NBA and Europe's top competitions, not every game).

🤝 10. Games History

Head-to-head record
0
MBA Moscow W wins
0
Botas W wins
No previous meetings.
DateH/AOpponentScore
16/12/18ANovosibirsk W82-61
12/12/18AGalatasaray W45-59
09/12/18HNoginsk W70-60
06/12/18HLefkadas W93-59
02/12/18ANadezhda W69-77
29/11/18ATorun W86-95
25/11/18AEkaterinburg W39-115
11/11/18HEkaterinburg W74-99
08/11/18HGalatasaray W67-89
04/11/18HInventa Kursk W73-67
Botas Wlast 10
DateH/AOpponentScore
29/12/18HGalatasaray W60-68
26/12/18AAdana BK W79-53
22/12/18HOrmanspor W71-64
16/12/18ACukurova W56-78
13/12/18HBeroe W90-79
09/12/18HFenerbahce W46-62
06/12/18ACukurova W63-84
02/12/18AIzmit Bld. W84-71
29/11/18HUmea W89-67
25/11/18HBesiktas W70-69

📊 11. Overall Statistics

MBA Moscow W
EuroCup Women 2018-19
Recent: 4 Wins / 6 Losses (last 10)
FormLast 5Win %
OverallWLLWL50%
HomeWLW67%
AwayWLL33%
StatsOverallHomeAway
Games633
Win %50%67%33%
Points / game76.582.071.0
Allowed / game73.376.770.0
Point differential+3.2+5.3+1.0
Avg total149.8158.7141.0
Over main line---
Win by 10+33%33%33%
Close games (≤5 pts) won100% (1)100% (1)-
Overtime %0%0%0%
Botas W
EuroCup Women 2018-19
Recent: 6 Wins / 4 Losses (last 10)
FormLast 5Win %
OverallLWWLW67%
HomeLWW67%
AwayWWL67%
StatsOverallHomeAway
Games633
Win %67%67%67%
Points / game80.880.781.0
Allowed / game71.877.066.7
Point differential+9.0+3.7+14.3
Avg total152.7157.7147.7
Over main line---
Win by 10+67%67%67%
Close games (≤5 pts) won---
Overtime %0%0%0%
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 Lattes Montpellier W660100%85.357.5+27.8
2 Cukurova W660100%88.364.7+23.7
3 Uni Girona W660100%76.556.7+19.8
4 Tarbes GB W660100%71.562.0+9.5
5 Gorzow W65183%87.271.3+15.8
6 Atomeromu Szekszard W65183%75.762.5+13.2
7 Wisla Can-Pack W65183%73.264.5+8.7
8 Galatasaray W65183%68.260.7+7.5
9 Torun W64267%78.862.5+16.3
10 Artego Bydgoszcz W64267%75.761.8+13.8
11 Lyon W64267%80.768.8+11.8
12 Botas W64267%80.871.8+9.0
13 Enisey Krasnoyarsk W64267%81.772.7+9.0
14 Gernika Bizkaia W85362%69.965.9+4.0
15 Nantes W85362%74.972.4+2.5
16 Ormanspor W85362%70.467.9+2.5
17 Venezia W63350%73.063.3+9.7
18 Landes W63350%75.568.0+7.5
19 Besiktas W63350%74.569.2+5.3
20 MBA Moscow W63350%76.573.3+3.2
21 Ruzomberok W63350%72.571.7+0.8
22 Spartak Moscow W63350%69.769.5+0.2
23 Mersin W63350%74.776.0-1.3
24 Noginsk W21150%62.564.0-1.5
25 Nymburk W63350%68.271.2-3.0
26 VBW Gdynia W21150%67.070.5-3.5
27 Sint-Katelijne-Waver W63350%63.770.8-7.2
28 Cegledi W125742%73.879.0-5.2
29 Minsk W62433%62.865.5-2.7
30 UNI Gyor W62433%66.571.5-5.0
31 Inventa Kursk W62433%60.571.8-11.3
32 Beroe W62433%70.885.5-14.7
33 Keltern W62433%66.587.5-21.0
34 Uniao Sportiva W61517%62.572.2-9.7
35 Sepsi SIC W61517%63.873.7-9.8
36 Cinkarna Celje W61517%65.276.2-11.0
37 KP Brno W61517%65.079.5-14.5
38 Lefkadas W81712%57.577.4-19.9
39 Fribourg W6060%64.374.2-9.8
40 Umea W6060%63.881.8-18.0
41 Liege W2020%58.078.0-20.0
42 Sodertalje W6060%57.787.5-29.8
43 Namur W2020%51.583.0-31.5
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
MBA Moscow W2416211677
Botas W1227201776
← 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.