Kelsen

Football and baseball analytics and analysis. Defense wins championships.

[Kelsen @metricedges]

Watching Kamario Taylor film… Zion Ragins is a super fun player. I don’t think enough people are talking about him this year.

[Kelsen @metricedges]

@MichaelPAguilar @RasterbIath @sfdata9ers @FTNFantasy https://t.co/1Bi3LWBbfU

[Kelsen @metricedges]

@sfdata9ers @FTNFantasy He is 23/39 on the season, so by your data all of his incompletions this year have been uncatchable…

Here are a few incompletions that fall under the catchable/inaccurate category, which is the bucket you are leaving out of your data.

[Kelsen @metricedges]

@sfdata9ers @FTNFantasy He is 23/39 on the season, so by your data all of his incompletions this year have been uncatchable…

Here are a few incompletions that fall under the catchable/inaccurate category, which is the bucket you are leaving out of your data.

[Kelsen @metricedges]

@RasterbIath @sfdata9ers @FTNFantasy Exactly my thoughts here.

By definition an uncatchable pass is an airmail, dirtball, throwaway, or batted. So all 16 of his incompletions have to be “uncatchable”.

I am going to go check the film right now. Will update.

[Kelsen @metricedges]

@sfdata9ers @FTNFantasy So by definition all of his incomplete passes this year have been an airmail, dirtball, throwaway, or batted?

[Kelsen @metricedges]

@MaxPercy37 @sfdata9ers @FTNFantasy If you look at the other QBs though, there are some extremely high implied drop rates that wouldn’t check out then.

I believe they used 1 - catchable rate to get the “uncatchable rate” but with the way catchable rate is charted it wouldn’t make sense to do that.

[Kelsen @metricedges]

@Matt_Hott_66 @sfdata9ers @FTNFantasy My guess is that they used the catchable rate to calculate the “uncatchable” rate, but catchable is charted in a way that it wouldn’t make sense to calculate an “uncatchable” rate based off of it.

[Kelsen @metricedges]

Mookie Betts since August 5th:

.325/.407/.575
9 HR
169 wRC+
1.40 BB/K

#Dodgers

[Kelsen @metricedges]

Tyler Shough EPA/dropback WK2 @ Ravens

First Half:
0.132 (16 dropbacks)

Second Half:
0.420 (21 dropbacks)

[Kelsen @metricedges]

Tyler Shough EPA/dropback WK1 @ Lions

First Half:
-0.480 (23 dropbacks)

Second Half + Overtime:
0.265 (38 dropbacks)

[Kelsen @metricedges]

Weekly Chaos Index:

[Kelsen @metricedges]

NFL YPRR Leaders:
(min. 30 routes)

1. Jaxson Smith-Njigba (5.9)
2. Davante Adams (4.8)
3. Dalton Kincaid (4.7)
4. Parker Washington (4.0)
5. Ceedee Lamb (3.6)

[Kelsen @metricedges]

Top 5 ED Pressure Rates
(min. 50 pass rush snaps)

1. Dallas Turner (27.8%)
2. Greg Rousseau (24.6%)
3. David Bailey (20.8%)
4. Boye Mafe (20.3%)
5. Maxx Crosby (20%)

[Kelsen @metricedges]

Team Offensive vs. Defensive EPA/play

Through NFL Week 2

[Kelsen @metricedges]

Drew Lock is gonna get paid.

[Kelsen @metricedges]

Top 5 ED Pressure Rates - NFL WK1
(min. 25 pass rush snaps)

1. Travon Walker (28%)
2. Dallas Turner (27.3%)
3. Maxx Crosby (27.3%)
4. Nolan Smith (24%)
5. Aidan Hutchinson (20.8%)

[Kelsen @metricedges]

Tyler Shough EPA/dropback WK1 @ Lions

First Half:
-0.480 (23 dropbacks)

Second Half + Overtime:
0.265 (38 dropbacks)

[Kelsen @metricedges]

NFL Week 1 - WR YPRR Leaders
(min. 15 routes)

1. Parker Washington (4.9)
2. Ladd McConkey (4.8)
3. Jaxon Smith-Njigba (4.7)
4. DJ Moore (4.2)
5. Jalen Coker (4.1)

[Kelsen @metricedges]

NFL Week 1 Rush Rate Over Expected by Team

[Kelsen @metricedges]

Team Offensive vs. Defensive EPA/play

NFL Week 1