Game Analysis
Lean – Oakland (+7/+6.5) over HOUSTON
The Raiders executed the rare trade-player-to-opponent-right-before-you-face-them this week by sending former first-round cornerback Gareon Conley to Houston. Conley underwhelmed in Oakland but was not given the opportunity to play man defense that he excelled at while playing at Ohio State. The Texans play man at the 4th-highest rate in the league and Conley should live up his draft position with his new team – and we’re upgrading the Texans defense by about a half-point.
Houston’s offense has seen a drastic improvement recently with Deshaun Watson getting more protection. Watson was pressured on 47% of his dropbacks in the first 4 weeks and averaged 5.8 yards per pass play. In the last 3 games, Watson is throwing for 8.9 yards per pass play because he was pressured on only 28% of dropbacks. The Raiders have a 36% pass rush win rate (30th) and I expect Watson to continue performing at a high level. WR Kenny Stills is gaining 2.84 yards per route run and he is set to return this week. Stills has an advantageous matchup on the inside across from Lamarcus Joyner, who is surrendering 1.53 yards per cover snap in the slot (3rd-worst), and All-Pro wide receiver DeAndre Hopkins figures to thrive as well. The Texans have the 4th-rated ground game but Carlos Hyde will likely be limited versus Oakland’s 6th-ranked rush defense that is led by Johnathan Hankins, whose 10.8% run stop rate ranks 4th among interior defenders.
Raiders’ rookie running back Josh Jacobs has been excellent, averaging 0.28 avoided tackles per rush (2nd), and I expect Jacobs to be the focal point of this offense against Houston’s mediocre rush defense. Darren Waller is gaining 2.90 yards per route run (1st), but he has a tough matchup versus a Texans defense allowing only 6.7 yards per target to opposing tight ends (9th). Right tackle Kolton Miller is much improved this season, ranking 15 in pass block efficiency after finishing 2nd-worst in 2018. However, Miller will likely struggle this week to contain JJ Watt, who leads the NFL with 51 pressures. Derek Carr will be pleased by the return of left tackle Trent Brown, whose 95% pass block win rate is the best in the league after backup David Sharpe conceded 4 pressures last week.
Deshaun Watson will have another productive game because the Raiders are unlikely to get any pressure and Josh Jacobs should carry the load for Oakland offensively. Our model favors Houston 7.9 points, with a predicted total of 48.2 points. We won’t be playing the under because of matchups that favor the over but I am going to lean with the Raiders based on my most reliable NFL situation, which now has a record of 206-107-8 ATS over 40 years and is still working well.
Pass
-
Pass Plays
33.3
35.5
-
Succ Pass Plays
54.8%
51.3%
-
Sack Rate
3.5%
4.7%
-
Int Rate
1.9%
1.5%
-
Deep Pass Rate
17.9%
22.6%
-
Big Pass Yards
28.8%
56.4%
-
NYPP
7.3
8.3
Rush
-
Rush Plays
28.2
24.3
-
RB YPR
5.0
3.3
-
Stuff Rate
16.5%
27.0%
-
Succ Rush Plays
49.0%
44.6%
-
Big Rush Yards
42.2%
25.9%
-
Yards Per Rush
5.0
3.3
Game
-
All Snaps
61.5
59.8
-
Early Down Succ
52.5%
49.7%
-
Succ Rate
51.9%
49.0%
-
Big Yards Rate
35.4%
52.9%
-
Yards Per Play
6.0
6.3
-
Fumble Lost Rate
1.0%
0.5%
-
Time Per Play (sec)
30.5
29.2
-
Run Ratio
45.5%
40.9%
-
Starting Field Pos
26.9
25.6
-
Game Control
-1.6
1.6
Pass
-
Pass Plays
36.7
42.0
-
Succ Pass Plays
51.4%
46.4%
-
Sack Rate
8.2%
5.8%
-
Int Rate
2.4%
1.1%
-
Deep Pass Rate
19.9%
18.6%
-
Big Pass Yards
40.0%
35.3%
-
NYPP
7.2
6.5
Rush
-
Rush Plays
27.6
20.7
-
RB YPR
4.5
4.0
-
Stuff Rate
21.3%
22.4%
-
Succ Rush Plays
53.4%
38.9%
-
Big Rush Yards
52.9%
44.1%
-
Yards Per Rush
4.9
4.2
Game
-
All Snaps
64.3
62.7
-
Early Down Succ
53.2%
42.9%
-
Succ Rate
52.2%
43.6%
-
Big Yards Rate
45.8%
38.4%
-
Yards Per Play
6.2
5.8
-
Fumble Lost Rate
0.9%
1.6%
-
Time Per Play (sec)
28.8
27.9
-
Run Ratio
42.3%
32.8%
-
Starting Field Pos
27.0
27.4
-
Game Control
-0.3
0.3
* game log stats denoted as Off/Def
2019 Game Log |
PASS |
RUSH |
GAMES |
Wk |
Opp |
Score |
Game Control |
Succ Pass Plays |
Sack Rate |
Int Rate |
NYPP |
Succ Rush Plays |
Stuff Rate |
Yds per Rush |
All Snaps |
Early Down Succ |
Succ Rate |
Big Yards Rate |
Yds per Play |
Fum Lost Rate |
Run Ratio |
Starting Field Pos |
1 |
DEN |
24 – 16 W |
9.5 |
65.4% / 50.0% |
0.0% / 8.8% |
0.0% / 0.0% |
10.0 / 7.3 |
46.4% / 52.2% |
14.3% / 26.1% |
3.5 / 4.1 |
54 / 57 |
51.3% / 52.3% |
55.6% / 50.9% |
40.3% / 58.1% |
6.6 / 6.0 |
0.0% / 0.0% |
51.9% / 40.4% |
29.0 / 21.8 |
2 |
KC |
10 – 28 L |
-8.3 |
46.3% / 56.5% |
7.3% / 4.3% |
5.3% / 0.0% |
4.3 / 9.4 |
52.6% / 36.4% |
26.3% / 36.4% |
6.8 / 1.4 |
60 / 68 |
48.9% / 49.1% |
48.3% / 50.0% |
38.4% / 62.3% |
5.1 / 6.8 |
0.0% / 1.5% |
31.7% / 32.4% |
25.3 / 26.2 |
3 |
@MIN |
14 – 34 L |
-15.9 |
52.6% / 47.6% |
10.5% / 0.0% |
2.9% / 0.0% |
5.6 / 8.3 |
45.0% / 55.3% |
15.0% / 7.9% |
4.4 / 5.6 |
58 / 59 |
54.5% / 54.2% |
50.0% / 52.5% |
29.1% / 55.8% |
5.2 / 6.5 |
0.0% / 0.0% |
34.5% / 64.4% |
22.3 / 28.4 |
4 |
@IND |
31 – 24 W |
10.8 |
43.8% / 34.8% |
3.1% / 0.0% |
0.0% / 2.2% |
5.9 / 5.8 |
46.9% / 47.8% |
21.9% / 34.8% |
5.9 / 3.5 |
64 / 69 |
46.0% / 36.7% |
45.3% / 39.1% |
38.5% / 45.7% |
5.9 / 5.0 |
1.6% / 1.4% |
50.0% / 33.3% |
23.5 / 28.7 |
5 |
CHI |
24 – 21 W |
4.6 |
53.1% / 50.0% |
0.0% / 11.8% |
0.0% / 6.7% |
7.2 / 5.7 |
64.1% / 41.2% |
5.1% / 35.3% |
4.3 / 2.5 |
71 / 51 |
61.4% / 50.0% |
59.2% / 47.1% |
28.1% / 27.1% |
5.6 / 4.6 |
2.8% / 0.0% |
54.9% / 33.3% |
32.0 / 31.7 |
7 |
@GB |
24 – 42 L |
-10.0 |
67.7% / 68.8% |
0.0% / 3.1% |
3.2% / 0.0% |
10.6 / 13.2 |
38.7% / 34.8% |
16.1% / 21.7% |
5.0 / 2.6 |
62 / 55 |
53.1% / 55.8% |
53.2% / 54.5% |
38.0% / 68.4% |
7.8 / 8.7 |
1.6% / 0.0% |
50.0% / 41.8% |
29.3 / 16.6 |
* game log stats denoted as Off/Def
2019 Game Log |
PASS |
RUSH |
GAMES |
Wk |
Opp |
Score |
Game Control |
Succ Pass Plays |
Sack Rate |
Int Rate |
NYPP |
Succ Rush Plays |
Stuff Rate |
Yds per Rush |
All Snaps |
Early Down Succ |
Succ Rate |
Big Yards Rate |
Yds per Play |
Fum Lost Rate |
Run Ratio |
Starting Field Pos |
1 |
@NO |
28 – 30 L |
2.7 |
38.9% / 59.1% |
16.7% / 2.3% |
3.3% / 2.3% |
6.5 / 8.2 |
60.9% / 52.4% |
30.4% / 9.5% |
7.8 / 7.0 |
59 / 65 |
44.4% / 57.7% |
47.5% / 56.9% |
68.4% / 45.5% |
7.0 / 7.8 |
0.0% / 0.0% |
39.0% / 32.3% |
17.9 / 26.4 |
2 |
JAC |
13 – 12 W |
3.3 |
36.4% / 40.5% |
12.1% / 10.8% |
0.0% / 0.0% |
4.2 / 4.8 |
56.7% / 42.9% |
16.7% / 14.3% |
4.2 / 4.9 |
63 / 58 |
46.8% / 44.2% |
46.0% / 41.4% |
35.0% / 40.6% |
4.2 / 4.8 |
0.0% / 1.7% |
47.6% / 36.2% |
26.8 / 26.0 |
3 |
@LAC |
27 – 20 W |
-2.4 |
58.3% / 41.2% |
5.6% / 9.8% |
0.0% / 0.0% |
9.4 / 5.7 |
26.3% / 38.9% |
26.3% / 16.7% |
2.1 / 4.1 |
55 / 69 |
45.5% / 41.2% |
47.3% / 40.6% |
57.7% / 42.6% |
6.8 / 5.3 |
1.8% / 1.4% |
34.5% / 26.1% |
24.2 / 27.7 |
4 |
CAR |
10 – 16 L |
-2.3 |
40.0% / 51.4% |
15.0% / 8.1% |
2.9% / 0.0% |
3.2 / 5.5 |
68.2% / 35.7% |
18.2% / 25.0% |
6.2 / 3.4 |
62 / 65 |
54.0% / 43.1% |
50.0% / 44.6% |
36.0% / 28.3% |
4.3 / 4.6 |
1.6% / 4.6% |
35.5% / 43.1% |
29.6 / 29.9 |
5 |
ATL |
53 – 32 W |
5.3 |
72.7% / 41.7% |
0.0% / 4.2% |
0.0% / 2.2% |
12.9 / 6.6 |
55.9% / 30.0% |
11.8% / 35.0% |
4.9 / 2.9 |
67 / 68 |
61.1% / 32.0% |
64.2% / 38.2% |
58.1% / 27.6% |
8.8 / 5.5 |
1.5% / 0.0% |
50.7% / 29.4% |
26.5 / 28.7 |
6 |
@KC |
31 – 24 W |
-2.6 |
59.5% / 44.4% |
0.0% / 2.8% |
4.8% / 2.9% |
6.7 / 7.1 |
56.1% / 45.5% |
12.2% / 18.2% |
4.7 / 4.8 |
83 / 47 |
62.1% / 44.7% |
57.8% / 44.7% |
25.2% / 42.1% |
5.7 / 6.6 |
1.2% / 2.1% |
49.4% / 23.4% |
32.4 / 27.2 |
7 |
@IND |
23 – 30 L |
-6.0 |
54.1% / 46.3% |
8.1% / 2.4% |
5.9% / 0.0% |
7.9 / 7.8 |
50.0% / 26.9% |
33.3% / 38.5% |
4.2 / 2.4 |
61 / 67 |
58.7% / 37.5% |
52.5% / 38.8% |
40.4% / 42.0% |
6.4 / 5.7 |
0.0% / 1.5% |
39.3% / 38.8% |
31.7 / 25.9 |