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Lakers ML (-105) over Bucks
DraftKings Sportsbook
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- Despite losing their last time out, the Lakers are 22-11 at home on the season.
- Los Angeles has the ability to protect the paint better than most teams, which will make it a tougher night than usual for Giannis Antetokounmpo.
The Milwaukee Bucks visit the Los Angeles Lakers on March 8, 2024 at 10:00 pm EST. The early betting odds from DraftKings Sportsbook have the Milwaukee Bucks as 1.0 point favorites on the road, while the total for the game is set at 232.
The early action has the Milwaukee Bucks taking 89% of the spread bets, while the Los Angeles Lakers are getting 11% of the bets.
The total opening of 235.5 is showing 67% of bets to the under and 33% to the over.
Be sure to check out all our free NBA picks here.
Both teams in tonight’s Bucks vs Lakers matchup have championship aspirations. But only one of them can win at crypto.com Arena on Friday and we expect that team to be the Los Angeles Lakers. The Lakers have won two-thirds of their games at home this season and they should be able to bounce back from a home loss to the Sacramento Kings in their last outing. Expect the Lakers to protect the paint effectively against Giannis Antetokounmpo and for the Lakers to pick up a win at home.
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NBA
Mar 08, 2024 10:00 PM
Milwaukee Bucks
VS
Los Angeles Lakers
Offense/Defense
MIL | Team Stats Per Game | LAL |
---|
0 | Games | 0 |
| FG | |
| FGA | |
| FG% | |
| 3Pt-FG | |
| 3Pt-FGA | |
| 3Pt% | |
| 2Pt-FG | |
| 2Pt-FGA | |
| 2Pt% | |
| FT | |
| FTA | |
| FT% | |
| ORB | |
| DRB | |
| TRB | |
| AST | |
| STL | |
| BLK | |
| TOV | |
| PF | |
| PTS | |
Defense/Offense
MIL | Team Stats Per Game | LAL |
---|
0 | Games | 0 |
| FG | |
| FGA | |
| FG% | |
| 3Pt-FG | |
| 3Pt-FGA | |
| 3Pt% | |
| 2Pt-FG | |
| 2Pt-FGA | |
| 2Pt% | |
| FT | |
| FTA | |
| FT% | |
| ORB | |
| DRB | |
| TRB | |
| AST | |
| STL | |
| BLK | |
| TOV | |
| PF | |
| PTS | |
Offense/Defense
MIL | Team Stats Per 100 Poss | LAL |
---|
0 | Games | 0 |
| FG | |
| FGA | |
| FG% | |
| 3Pt-FG | |
| 3Pt-FGA | |
| 3Pt% | |
| 2Pt-FG | |
| 2Pt-FGA | |
| 2Pt% | |
| FT | |
| FTA | |
| FT% | |
| ORB | |
| DRB | |
| TRB | |
| AST | |
| STL | |
| BLK | |
| TOV | |
| PF | |
| PTS | |
Defense/Offense
MIL | Team Stats Per 100 Poss | LAL |
---|
0 | Games | 0 |
| FG | |
| FGA | |
| FG% | |
| 3Pt-FG | |
| 3Pt-FGA | |
| 3Pt% | |
| 2Pt-FG | |
| 2Pt-FGA | |
| 2Pt% | |
| FT | |
| FTA | |
| FT% | |
| ORB | |
| DRB | |
| TRB | |
| AST | |
| STL | |
| BLK | |
| TOV | |
| PF | |
| PTS | |
Offense/Defense
MIL | Four Factors | LAL |
---|
| eFG% | |
| TOV% | |
| RB% | |
| FT/FGA | |
Defense/Offense
MIL | Four Factors | LAL |
---|
| eFG% | |
| TOV% | |
| RB% | |
| FT/FGA | |
MIL | Analytics | LAL |
---|
| Pythag Wins | |
| Pythag Losses | |
| Margin Of Victory | |
| O Rtg | |
| D Rtg | |
| Pace | |
| FTr | |
| 3PAr | |
| TS% | |
Open
Current
Book
MIL
LAL
MIL
LAL
Open
Current
Book
MIL
LAL
MIL
LAL
Open
Current
Book
Over
Under
Over
Under
MIL | Betting Trends | LAL |
---|
OVERALL | | OVERALL |
2-1-0 | Win/Loss/Tie | 1-2-0 |
2-1-0 | ATS W/L/P | 1-2-0 |
105.33 | Avg Score | 116.67 |
109.33 | Avg Opp Score | 119.33 |
AWAY | | HOME |
2-1-0 | Win/Loss/Tie | 1-2-0 |
2-1-0 | ATS W/L/P | 1-2-0 |
104.67 | Avg Score | 116.67 |
107 | Avg Opp Score | 119.33 |
MIL | Betting Trends | LAL |
---|
OVERALL | | OVERALL |
4-1-0 | Win/Loss/Tie | 3-2-0 |
4-1-0 | ATS W/L/P | 2-3-0 |
110 | Avg Score | 120 |
102.4 | Avg Opp Score | 120.2 |
AWAY | | HOME |
4-1-0 | Win/Loss/Tie | 3-2-0 |
4-1-0 | ATS W/L/P | 1-4-0 |
109 | Avg Score | 121.4 |
105.2 | Avg Opp Score | 121.4 |
MIL | Betting Trends | LAL |
---|
OVERALL | | OVERALL |
7-3-0 | Win/Loss/Tie | 6-4-0 |
7-3-0 | ATS W/L/P | 4-6-0 |
110 | Avg Score | 120.9 |
104.8 | Avg Opp Score | 120.3 |
AWAY | | HOME |
5-5-0 | Win/Loss/Tie | 7-3-0 |
5-5-0 | ATS W/L/P | 5-5-0 |
111.4 | Avg Score | 125.2 |
111.2 | Avg Opp Score | 119.6 |
DATE | TM | LN | ML | 1st | 2nd | 3rd | 4th | OT | SC |
---|
02/09/23
| MIL LAL | 234.5 8.0 | -346 +276 | 26 31 | 24 27 | 38 23 | 27 25 |
| 115 106 |
12/02/22
| LAL MIL | 231.0 -8.0 | +270 -345 | 33 31 | 33 27 | 35 39 | 32 32 |
| 133 129 |
02/08/22
| MIL LAL | 233.5 4.0 | -173 +143 | 38 24 | 40 32 | 31 29 | 22 31 |
| 131 116 |
11/17/21
| LAL MIL | 222.0 -9.0 | +326 -436 | 32 30 | 21 34 | 30 21 | 19 24 |
| 102 109 |
03/31/21
| MIL LAL | 222.0 8.5 | -360 +282 | 24 30 | 33 19 | 32 26 | 23 22 |
| 112 97 |
01/21/21
| LAL MIL | 228.5 -1.5 | +100 -120 | 29 33 | 34 24 | 23 24 | 27 25 |
| 113 106 |
03/06/20
| MIL LAL | 228.0 -1.5 | +101 -120 | 22 19 | 26 29 | 28 39 | 27 26 |
| 103 113 |
12/19/19
| LAL MIL | 226.0 -3.5 | +134 -162 | 17 23 | 29 42 | 35 24 | 23 22 |
| 104 111 |
03/19/19
| LAL MIL | 228.5 -11.0 | +492 -675 | 24 35 | 34 26 | 26 38 | 17 16 |
| 101 115 |
03/01/19
| MIL LAL | 241.0 6.5 | -225 +205 | 27 26 | 32 39 | 34 29 | 38 26 |
| 131 120 |
DATE | TM | LN | ML | 1st | 2nd | 3rd | 4th | OT | SC |
---|
04/19/25
| MIL IND | 100.8 -2.7 | +87 -105 | 11 15 | 4 15 | 15 12 | 4 11 |
| 43 52 |
04/19/25
| MIL IND | 100.8 -2.7 | +87 -105 | 11 15 | 4 15 | 15 12 | 4 11 |
| 43 52 |
04/11/25
| MIL DET | 385.9 -7.5 | +259 -308 | 59 60 | 55 49 | 50 54 | 45 37 |
| 209 199 |
04/10/25
| NO MIL | 198.2 -14.7 | +739 -1247 | 23 19 | 25 37 | 28 34 | 23 32 |
| 99 121 |
04/08/25
| MIN MIL | 378.2 10.2 | -382 +321 | 48 39 | 48 37 | 58 42 | 22 68 |
| 175 187 |
04/06/25
| MIL NO | 117.1 1.7 | -123 +102 | 15 17 | 16 12 | 12 13 | 16 16 |
| 59 57 |
04/03/25
| MIL PHI | 254.3 12.9 | -738 +537 | 28 44 | 40 22 | 39 31 | 34 29 |
| 141 126 |
04/01/25
| PHO MIL | 267.4 -7.7 | +256 -310 | 23 37 | 45 34 | 31 42 | 47 45 |
| 146 158 |
03/30/25
| ATL MIL | 378.9 -6.4 | +240 -286 | 60 71 | 72 50 | 58 27 | 43 51 |
| 233 200 |
03/28/25
| NY MIL | 332.1 -2.3 | -154 -179 | 38 29 | 53 46 | 32 36 | 53 52 |
| 176 163 |
DATE | TM | LN | ML | 1st | 2nd | 3rd | 4th | OT | SC |
---|
04/13/25
| LAL POR | 378.9 -10.5 | +321 -381 | 44 51 | 31 51 | 31 54 | 35 35 |
| 141 190 |
04/11/25
| HOU LAL | 381.7 -23.4 | +996 -1465 | 54 64 | 40 67 | 52 49 | 37 55 |
| 182 234 |
04/09/25
| LAL DAL | 207.5 3.8 | -180 +152 | 24 27 | 31 25 | 21 17 | 27 19 |
| 103 89 |
04/08/25
| LAL OKC | 391.0 -16.2 | +532 -677 | 73 73 | 49 63 | 44 29 | 37 66 |
| 204 231 |
04/06/25
| LAL OKC | 123.5 -5.1 | +161 -203 | 23 17 | 19 13 | 13 11 | 12 12 |
| 68 53 |
04/04/25
| NO LAL | 134.4 -9.4 | +480 -788 | 18 15 | 14 22 | 19 19 | 14 19 |
| 65 75 |
04/03/25
| GS LAL | 257.7 -1.1 | -116 -127 | 29 25 | 38 28 | 31 34 | 39 44 |
| 138 130 |
03/31/25
| HOU LAL | 186.9 -3.7 | +130 -154 | 16 13 | 24 26 | 24 28 | 17 18 |
| 81 86 |
03/29/25
| LAL MEM | 192.6 -1.2 | +85 -101 | 31 23 | 27 27 | 24 31 | 26 23 |
| 108 102 |
03/27/25
| LAL CHI | 110.7 0.9 | -80 +69 | 10 15 | 17 12 | 15 4 | 12 21 |
| 55 56 |
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Jay Sanin is a sports bettor, writer and broadcaster from New York. He is an avid New York Knicks fan and is no longer ashamed to admit it. He is also an avid New York Giants fan, and is very ashamed to admit it. His top sports to handicap are the NBA, WNBA and men’s tennis for some reason. He has watched more UAlbany Great Danes basketball than anyone should consume.