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Team splits · 2026 regular season · nflverse play-by-play and snap counts

With / Without

119starter splits
with a real sample
Texans logo
AFC South

Houston Texans

Team hub →

How the Texans have played in games with each starter on the field and in games without him, over 8 games. A game counts as "with" when he took at least 25% of his unit's snaps, "without" when he took none; games in between are left out. Offense players are measured on the Texans offense, defenders on what the defense allowed. Every number is an observed difference, with the sample, the opponents and the other absences on each card.

Nico Collins
Wide receiverNico Collins71% of snapsSmall sample
+0.33Observed difference
EPA/play, better with
EPA / play+0.146-0.185
Success45.3%36.2%
Points / game31.011.5
With 6 games · 362 playsWithout 2 games · 127 plays (Wks 2, 3)
Opponents avg rating
WithBills logoBUFCowboys logoDALTitans logoTENJaguars logoJAXGiants logoNYGChargers logoLAC+0.5
WithoutBengals logoCINColts logoIND-0.7

Opponents in the games with him were 1.2 pts stronger on average

Other starters out

With games:Azeez Al-Shaair LB · 1/6

Team trend EPA/play, up to 4 games each side of his first absence

Before (Wk 1)+0.069From Wk 2 on (Wks 2-5)-0.015

An observed difference between games, not a measure of his impact: opponents, other absences and form change too.
Azeez Al-Shaair
LinebackerAzeez Al-Shaair94% of snapsSmall sample
+0.16Observed difference
EPA allowed, better with
EPA allowed-0.021+0.144
Success allowed40.1%43.8%
Points allowed22.634.0
With 7 games · 439 playsWithout 1 game · 73 plays (Wk 4)
Opponents avg rating
WithBills logoBUFBengals logoCINColts logoINDTitans logoTENJaguars logoJAXGiants logoNYGChargers logoLAC+0.1
WithoutCowboys logoDAL+0.6

Opponents of similar strength in both groups

Other starters out

With games:Nico Collins WR · 2/7

Team trend EPA/play allowed, up to 4 games each side of his first absence

Before (Wks 1-3)-0.008From Wk 4 on (Wks 4-7)+0.058

An observed difference between games, not a measure of his impact: opponents, other absences and form change too.
No "without" sample yet

Never missed a game

Key Texans starters who have taken the field in every game so far. A split appears here once one of them sits out a full game.

Bar = average share of his unit's snaps

Observed differences between groups of games, not the player's causal effect. Why sample size matters · What EPA is

How it is counted

Each split compares whole games. A game counts as "with" when the player took at least 25% of his unit's snaps and "without" when he took none (injured, inactive or not yet in the lineup) and did not play for another club that week. Games where he left early or played a reduced role are left out of both. Key players are each team's snap leaders by position (quarterback, lead back, top three receivers, tight end, two tackles, two edge rushers, an interior lineman, a linebacker, two corners and a safety) who average a starter's share of the snaps. A split appears only with at least two games with him and one without. EPA per play and success rate count pass and run plays from the nflverse play-by-play; points come from the final score. Offense players are measured on the offense, defenders on what the defense allowed, so a positive number always means the team's results were better in the games with him.

Sample size. Every card prints the games and plays in each group. It carries a "small sample" badge when either group has fewer than 3 games or fewer than 100 plays: read those as a signal, not a verdict. More on sample size.

Context. Each card lists the opponents in both groups with their average current team rating (points above or below an average team on a neutral field, the same rating behind the playoff odds), the other key starters who were out in those same games, and the team's EPA per play in up to 4 games before the player's first absence against up to 4 games from it on, to show whether the team was already trending before he went out.

What it is not. These are observed differences between two groups of games, not the player's causal effect: opponents, other absences, weather, game script and form all change between the two groups.