Missed tackles: safeties ranked

The share of his tackle chances he missed. Fewer is better.

Why the box score misses it: Tackle totals reward the player who gets the most chances, not the one who finishes them.

Best so far: Avonte Maddox (DET), 0%. A typical safety is 7%. Players need at least 10 targets to qualify, so nobody is ranked on a handful of plays. Lower is better.

Grades updated Rechecked every few hours on game days

50 of 50 safeties

Missed leaders among safeties
Player
1
Avonte MaddoxDB · DETElite
0%10–
1
Camryn BynumDB · INDElite
0%17–
1
Dillon ThienemanDB · CHIElite
0%30even
1
Jeremy ReavesDB · WASElite
0%27even
1
Jessie BatesDB · ATLElite
0%17even
1
Josh MetellusDB · MINElite
0%25even
1
Nick ScottDB · CARElite
0%10–
8
Reed BlankenshipDB · HOUElite
3%33−5.0grade points downWithin the noise
9
Dane BeltonDB · NYJElite
4%28−4.7grade points downWithin the noise
9
Evan WilliamsDB · GBElite
4%28−5.8grade points downWithin the noise
11
Jonas SankerDB · NOWell above typical
4%27−7.5grade points downWithin the noise
12
Tykee SmithDB · TBWell above typical
4%25+7.9grade points upWithin the noise
13
Javon BullardDB · GBWell above typical
4%24−6.5grade points downWithin the noise
14
Christian IzienDB · DETWell above typical
4%23–
15
Antonio JohnsonDB · JAXWell above typical
5%21−9.5grade points downWithin the noise
16
Jaylinn HawkinsDB · BALWell above typical
5%20+14.9grade points upLeaning that way
16
Jevon HollandDB · NYGWell above typical
5%20+10.8grade points upWithin the noise
18
Grant DelpitDB · CLEWell above typical
5%19+13.2grade points upWithin the noise
19
Alohi GilmanDB · KCWell above typical
6%18−10.5grade points downWithin the noise
19
Andre CiscoDB · NYJWell above typical
6%18+9.9grade points upWithin the noise
21
Kyle HamiltonDB · BALWell above typical
6%35even
22
Chuck ClarkDB · DETAbove typical
7%30−13.1grade points downLeaning that way
22
Kam CurlDB · LARAbove typical
7%15+14.9grade points upWithin the noise
24
Ji'Ayir BrownDB · SFAbove typical
7%29+12.5grade points upLeaning that way
25
Michael TaaffeDB · MIAAbove typical
7%28+1.0grade points up
26
Budda BakerDB · ARIAbove typical
7%27−3.5grade points downWithin the noise
27
Rodney ThomasDB · SEAAbove typical
8%13+23.8grade points upLeaning that way
27
Xavier WattsDB · ATLAbove typical
8%26+2.4grade points up
29
Malaki StarksDB · BALAbove typical
8%25+18.3grade points upLeaning that way
30
Calen BullockDB · HOUAbove typical
9%23+10.5grade points upWithin the noise
30
Jalen PitreDB · HOUAbove typical
9%23+2.1grade points up
32
Quentin LakeDB · LARAbove typical
9%32−8.4grade points downWithin the noise
33
Amani HookerDB · TENAbove typical
10%31+18.8grade points upLeaning that way
33
Caleb DownsDB · DALAbove typical
10%31−9.5grade points downWithin the noise
35
Xavier McKinneyDB · GBTypical
11%19+26.5grade points upLeaning that way
36
Cole BishopDB · BUFTypical
11%28−6.5grade points downWithin the noise
37
Ronnie Hickman Jr.DB · CLETypical
11%27+10.8grade points upWithin the noise
38
Jaden HicksDB · KCTypical
12%26−11.2grade points downLeaning that way
39
A.J. HaulcyDB · INDTypical
12%17+21.7grade points upLeaning that way
40
Derwin JamesDB · LACTypical
13%24−8.5grade points downWithin the noise
How to read this table
  • The number on the left is the league rank among safeties, even when the list is filtered to one team.
  • “Against the league” draws each player on the same strip: the ends are the 10th-best and 90th-best player, the shaded stretch is the middle half, and the tick is the median. Right is always better.
  • “Lately” is the change in grade between a player's last 2 games and the games before them. The tag says whether the change is bigger than what a few plays could cause.
  • Tick “Show the box score” to put the traditional totals next to the advanced number and sort by either.

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Data: nflverse play-by-play, CC BY 4.0. Also FTN charting, Pro Football Reference advanced stats, snap counts and injury reports, all through nflverse. Calculations and charts by Raiders Rundown.