Raiders Rundown logo

DAL Dallas Cowboys · DL· #91

Otito Ogbonnia

Age
26
Height
6'4"
Weight
320 lbs
College
UCLA
Drafted
2022, No. 160 overall (LAC)
Experience
5th NFL season
Compare with another playerEdge rushers leaderboard

49

Overall grade

74th of 132 edge rushers

Typical

about average; 50 is average

Grades updated Rechecked every few hours on game days

The read

Otito grades about average among edge rushers so far, with no number far from the middle.

Written from his numbers, not from film. 5 games are behind the season figures.

How he stacks up

Every graded stat at a glance, against all the edge rushers in the league.

  • Tackles for loss per 100 snaps1.343rd of 132small sample
  • Missed tackles8%30th of 58small sample
  • Sacks per 100 snaps0.084th of 132small sample
  • Pressures per 100 snaps1.988th of 132

Left is the worst at his job, right is the best, and the line down the middle is average. The bubble is his percentile: 90 means better than nine in ten qualifying edge rushers. Faded bars are still small samples.

How he has progressed

Where he has ranked among edge rushers after each week, and every game behind it.

WorstMiddleBestrecent12345Week 2: 27th percentileWeek 3: 48th percentileWeek 4: 39th percentileWeek 5: 34th percentile34th

Season rank holding near the 34th percentile since Wk 2.

The line is his season-to-date rank among players at his position after each week, from 100 (the best) to 0 (the worst). It rises when he passes other players, not when he has one big game. Early weeks are noisier because fewer plays are behind them. The shaded weeks are the recent stretch.

Pressures per 100 snaps game by game
WeekOpponentThat gamesnapsSeason rank after
1vs NYG0.040–
2vs WAS3.42927th pct
3vs BAL5.04048th pct
4vs HOU0.01739th pct
5vs TB0.03434th pct

One game is a small sample: a single stat over 32 snaps can swing on a handful of plays. Shaded rows are the recent stretch.

The numbers, in context

Each one against every edge rusher with at least 80 snaps. Right on the strip is better.

Pressures per 100 snaps

Below typical

1.9

88th of 132 edge rushers · bottom 35%

Sacks, hits and hurries as Pro Football Reference charts them, for every 100 snaps he plays. A pass rusher is doing his job on plays that never become a sack.

The box score: A sack total misses most of what a rusher does and depends on how many snaps he plays.

Does it show up in winning? Across 233 games league-wide, teams won 60% of the time when their edge rusher was in the best third on pressures per 100 snaps, and 47% when he was in the worst third.

Last 2 games: 0.0 (51) vs 2.8 before−10.0grade points downLeaning that way

Sample still growing · 160 snaps · true level likely 0.1 to 3.7

Sacks per 100 snaps

Below typical

0.0

84th of 132 edge rushers · bottom 38%

Sacks for every 100 snaps he plays. Rare, so it swings fast; pressures are the steadier read.

The box score: A sack total ignores how many snaps he played.

Does it show up in winning? Across 233 games league-wide, a good or bad game on sacks per 100 snaps from a edge rusher has not lined up much with his team winning (47% wins in the best third, 60% in the worst).

Last 2 games: 0.0 (51) vs 0.0 beforeevenWithin the noise

Small sample: could move a lot · 160 snaps · true level likely -1.0 to 1.0

Tackles for loss per 100 snaps

Above typical

1.3

43rd of 132 edge rushers · top 33%

Plays he ends behind the line of scrimmage, for every 100 snaps.

The box score: Tackles for loss are counted, but never against the snaps he played.

Does it show up in winning? Across 233 games league-wide, a good or bad game on tackles for loss per 100 snaps from a edge rusher has not lined up much with his team winning (53% wins in the best third, 55% in the worst).

Last 2 games: 3.9 (51) vs 0.0 before+34.0grade points upLeaning that way

Small sample: could move a lot · 160 snaps · true level likely -0.2 to 2.7

Missed tackles

Typical

8%lower is better

30th of 58 edge rushers · bottom 50%

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

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

Does it show up in winning? Across 96 games league-wide, a good or bad game on missed tackles from a edge rusher has not lined up much with his team winning (50% wins in the best third, 41% in the worst).

Last 2 games: 17% (6) vs 0% before−18.0grade points downWithin the noise

Small sample: could move a lot · 12 tackle chances · true level likely -8% to 25%

Playing time

He has played in 5 of his team's 5 games with snap counts, on the field for about 48% of the team's defensive plays when he plays.

Each column is a game: the share of his team's defensive snaps he played. 80% means about 8 of every 10 plays. “Out” means he did not play; a question mark means snap counts are not posted yet. Shaded games are the recent stretch.

Game by game

Every game this season: how it ended for his team, how much he played, his box score, and the advanced numbers from that one game. One game is a small sample, so read the right-hand columns as a snapshot, not his level.

Otito Ogbonnia game by game
GameResultSnapsTklSoloAstTFLSacksPressPBUIntMissedPressures/100TFL/100Missed
Wk 1 vs NYGL 20–2858%4220000000.00.0–
Wk 2 vs WASW 37–2041%0000010003.40.0–
Wk 3 vs BALL 31–3462%6510020005.00.00%
Wk 4 vs HOUW 34–3031%2110000000.00.0–
Wk 5 vs TBL 16–2447%4222000010.05.917%

The box score

The traditional totals, with where each ranks among edge rushers. A total rewards volume, which is why the advanced numbers above matter.

Otito Ogbonnia box score totals
StatTotalRank
Tackles1617th of 132
Solo tackles1014th of 132
Assisted tackles640th of 132
Tackles for loss240th of 132
Sacks084th of 132
Pressures379th of 132
Passes defended050th of 132
Interceptions010th of 132
Missed tackles128th of 132

Players with a similar profile

The edge rushers whose grades are closest to his across the same stats. Similar means similar numbers, not the same style of play.

Ranks are among players at the same job who have enough plays to be graded. Grades and rankings come from play-by-play, charting and snap-count data, so they cannot see blocking, route running or assignments. See how the grades work.

← All players

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.

More from the Lab

All 9 tools →