Friday, April 20, 2018

UFC Fight Night Barboza vs Lee Fight Projections

*Disclaimer: Betting advice is just for fun, I am not responsible for any bets placed*
*All bet amounts are based on percent of bankroll, per the Kelly criterion*

Edson Barboza (33.22%) vs Kevin Lee (66.78%)

 33.22%
Overall
66.78% 
 23.60%
KO
13.92% 
 0.05%
Sub
37.41% 
 9.57%
Decision
15.44% 


Plays:
5.85% on Fight DGTD at -185

Frankie Edgar (56.63%) vs Cub Swanson (43.37%)

56.63% 
Overall
43.37% 
 2.85%
KO
17.32% 
 0.22%
Sub
0.19% 
 53.56%
Decision
25.86% 


Plays:
2.85% on Swanson at +210

Aljamain Sterling (59.86%) vs Brett Johns (40.14%)

 59.86%
Overall
40.14% 
 12.96%
KO
8.87% 
 15.36%
Sub
1.25% 
 31.54%
Decision
30.01% 


Plays:
2.71% on Sterling at -110

Jim Miller (27.71%) vs Dan Hooker (72.29%)

 27.71%
Overall
72.29% 
 10.79%
KO
6.18% 
 2.38%
Sub
3.61% 
 14.55%
Decision
62.50% 


Plays:
4.09% on Fight GTD at -240

Ryan LaFlare (54.04%) vs Alex Garcia (45.96%)

 54.04%
Overall
45.96% 
 5.93%
KO
6.95% 
 1.79%
Sub
2.90% 
 46.31%
Decision
36.11% 


Plays:
1.16% on Garcia at +140

Siyar Bahadurzada (29.74%) vs Luan Chagas (70.26%)

 29.74%
Overall
70.26% 
 12.12%
KO
32.89% 
 6.87%
Sub
20.52% 
 10.75%
Decision
16.85% 


Plays:
7.19% on Chagas at -125

Corey Anderson (68.76%) vs Patrick Cummins (31.24%)

 68.76%
Overall
31.24% 
 8.20%
KO
2.99% 
 3.55%
Sub
0.37% 
 57.01%
Decision
27.89% 


Plays:
5.27% on Anderson at -135

Tony Martin (71.71%) vs Keira Nakamura (28.29%)

 71.71%
Overall
28.29% 
 3.42%
KO
4.31% 
 1.15%
Sub
7.89% 
 67.14%
Decision
16.09% 


Plays:
3.30% on Martin by decision at -148

Sunday, April 15, 2018

Looking at Defensive Line Analytically

Next up in this series, we will flip over to the defensive side of the ball and take a look at the trenches. The first thing I did for constructing these models was to split the players into two groups: interior defensive linemen and edge rushers. Interior defensive linemen include 4-3 defensive tackles, 3-4 defensive ends, and 3-4 nose tackles. Edge rushers include 4-3 defensive ends and 3-4 outside linebackers.

Generally, both models think that the athletic workout numbers are more important for edge rushers, and production metrics are more important for interior lineman. Specifically, both models see weight adjusted 40 times, broad jumps, and three cone drills as important indicators for incoming edge rushers, and both models see run stops, forced fumbles, and passes defended as important indicators for incoming interior lineman. 

Before we look at where the individual prospects landed, let's take a look at the year to year distributions to see if we can gain any insights on the classes as a whole. The data from these draft classes are blind to the model, meaning projections will not be skewed by the success or lack thereof of these players.

Looking at this, we can see pretty drastic differences in the distribution of interior line projections year over year. For example, the 2014 draft class was extremely top heavy (that guy at the top is Aaron Donald), while the 2016 draft class lacked a true elite prospect but was filled with great starting options. The 2018 draft class seems to follow that mold, with underwhelming top options, but plenty of depth options.

Edge rushers on the other hand, have been much more consistent year to year, at least recently. You do see some variability (2016 was a more top end year, 2015 was more of a depth year), but generally things are more even. The 2018 draft class seems comparable to 2016, with great top options and mediocre depth options.

Finally, let's look at the individual prospects. First up are the interior linemen:

Name
Expected Draft Pick
Linear
Random Forest
Average
 Harrison Phillips
 45
 5.29
4.86 
5.07 
 PJ Hall
 120
 4.94
4.63 
4.78 
 Vita Vea*
 15
 5.38
3.68 
4.53 
 Maurice Hurst
 32
 4.59
3.98 
4.29 
 Da'Ron Payne
 20
 4.87
3.59 
4.23 
 Tim Settle*
 100
 3.44
4.07 
3.75 
 Derrick Nnadi
 90
 2.95
3.52 
3.23 
 BJ Hill
 100
 3.26
2.31
2.79
 Bilal Nichols
 150
 2.29
 3.12
2.71 
 Taven Bryan
 30
 2.83
2.56 
2.69 


Generally, the models are down on the first round options in this year's class. Vea, Hurst, and Payne get solid grades, but maybe not what you would be expecting from a first round player. Bryan, on the other hand, the models see as potential bust. Bryan is an amazing athlete, but has very underwhelming production numbers. His profile is exceedingly rare, and it's hard to get a good comp for him. He'll be an interesting case study.

In terms of value, look no further than PJ Hall of Sam Houston State. Hall is an unbelievable athlete with the production to match. To qualify, the models are not equipped to handle FCS players and none of the FCS prospects from the past are including in the data used to build the models. However, a prospects with his profile projected to go in the 4th round is hard to ignore. If I'm a team, I'm looking for a way for my team to come away from the draft with PJ Hall.

Now let's look at the edge rushers:

Name
Expected Draft Pick
Linear
Random Forest
Average
 Bradley Chubb
 3
 7.79
5.67 
6.73 
 Marcus Davenport
 20
 6.36
6.12 
6.24 
 Harold Landry
 14
 5.77
4.76 
5.27 
 Rasheem Green
 50
 4.70
5.75 
5.23 
 Josh Sweat
 70
 5.34
4.27 
4.80 
 Lorenzo Carter
 40
 4.52
4.16 
4.34 
 Uchenna Nwosu
 90 
 4.20
3.63 
3.91 
 Dorance Armstrong Jr
 100
 3.80
3.63 
3.71 
 Tyquan Lewis
 90
 3.37
3.87 
3.62 
 Sam Hubbard
 50
 3.40
3.17 
3.28 

Not many surprises here, with all 3 of the first round prospects landing in the top 3 spots. However, Chubb and Davenport seem to have separated themselves on a tier above the rest, with Landry being basically tied with projected second rounder Rasheem Green. An interesting mid round option is Uchenna Nwosu, who posted up 14 passes defensed last year in addition to notching a good 40 time and fantastic 3 cone drill. 

Friday, April 13, 2018

UFC Fight Night Poirier vs Gaethje Fight Projections

*Disclaimer: Betting advice is just for fun, I am not responsible for any bets placed*
*All bet amounts are based on percent of bankroll, per the Kelly criterion*

Carlos Condit (36.95%) vs Alex Oliveira (63.05%)

 36.95%
Overall
63.05% 
 14.80%
KO
7.99% 
 3.93%
Sub
2.37% 
 18.22%
Decision
52.70% 


Plays:
6.50% on Fight GTD at -155

Michelle Waterson (34.95%) vs Cortney Casey (65.05%)

 34.95%
Overall
65.05% 
 5.11%
KO
3.66% 
 5.51%
Sub
5.41% 
 24.33%
Decision
55.98% 


Plays:
5.07% on Casey at -125

Tim Boetsch (31.59%) vs Antonio Carlos Junior (68.41%)

 31.59%
Overall
68.41% 
 14.14%
KO
15.15% 
 0.96%
Sub
21.01% 
 16.48%
Decision
32.25% 


Plays:
3.74% on Fight GTD at +160

Wilson Reis (56.35%) vs John Moraga (43.65%)

 56.35%
Overall
43.65% 
 2.96%
KO
8.09% 
 4.95%
Sub
1.19% 
 48.44%
Decision
34.36% 


Plays:
13.24% on Fight GTD at -240

Krysztof Jotko (40.67%) vs Brad Tavares (59.33%)

 40.67%
Overall
59.33% 
 11.92%
KO
11.85% 
 1.02%
Sub
9.95% 
 27.73%
Decision
37.54% 


Plays:
2.19% on Tavares at -120

Dhiego Lima (57.57%) vs Yushin Okami (42.43%)

 57.57%
Overall
42.43% 
 19.05%
KO
7.07% 
 5.05%
Sub
3.69% 
 33.47%
Decision
31.66% 


Plays:
3.33% on Lima at +100

Matthew Lopez (51.93%) vs Alejandro Perez (48.07%)

 51.93%
Overall
48.07% 
 7.03%
KO
8.84% 
 9.11%
Sub
4.34% 
 35.79%
Decision
34.90% 


Plays:
2.92% on Fight GTD at -195