Tennessee Titans Vs Detroit Lions Match Player Stats

Where to Find and How to Read Tennessee Titans vs Detroit Lions Match Player Stats

Most people go to NFL.com or Pro Football Reference and scroll through a wall of numbers without actually understanding what they're looking at. I spent years parsing these kinds of stat sheets for fantasy and depth-chart work, and the truth is the real signal is buried under things like "total yards" and "attempts" that don't tell you much by themselves. Let me walk through how to get the stats and then how to actually read them. You can pull the raw box score from a handful of places. The NFL's official stats page is the cleanest source. Pro Football Reference has the most complete historical layering. Fantasy sites like ESPN or Yahoo will give you point-based breakdowns if you want that angle. The data itself is identical across all of them—different presentations of the same underlying tracking. For the September 28, 2025 matchup specifically, the Lions rolled 33-10. Jared Goff threw for 239 yards and two touchdowns with no interceptions. David Montgomery rushed for 68 yards and a score. Amon-Ra St. Brown hauled in six passes for 73 yards. On the Titans side, Will Levis completed 18 of 31 passes for 197 yards with one touchdown and one pick. Tyjae Spears picked up 42 rushing yards. Calvin Ridley had four catches for 58 yards. The defensive line combos and special teams figures are in the full box score if you need them.

Here's where most people trip up. Looking at Goff's 239 yards makes it seem like a quiet day. But his air yards per attempt were down, and his completion percentage on intermediate throws (10 to 20 yards downfield) sat around 54%, which is below his season average. The Lions were feeding him check-downs and quick slants, and that inflated his yardage total without creating real upside. That distinction only shows up if you dig into the down-and-distance splits, not the top-line number. The same thing happened the other way with Levis. His 197 passing yards look respectable until you see he was 6-of-18 on drops back of three or more. The Titans' offensive line was giving him two seconds of hold time on a league-worst conversion rate that week. His rushing yards (18) tell a different story than his passing line, and both matter for evaluating what actually went wrong on that side of the ball. I ran into a specific problem once when I was trying to build a reusable comparison chart between these two teams. The NFL's official stat download only exports raw numbers with no contextual tags like "red zone attempt" or "third down conversion." I spent about 40 minutes cross-referencing play-by-play data from the NFL Game Center to tag each stat properly. The workaround was writing a simple CSV import script that pulled the play-by-play logs, matched them to the box score by player ID, and flagged the situational context. Cut my normal two-hour process down to maybe twenty minutes after I built it. It's not elegant, but it works.

When you're looking at player stats from this kind of matchup, pay attention to a few things that usually get ignored. First, target share. St. Brown's six catches sound fine, but he saw eleven targets. That's a high volume relative to the total passing attempts in the game, and it signals that the Lions' game plan was built around isolating him in single coverage. Second, rushing yards per carry, not just total yards. Montgomery's 68 yards on ten carries is a different story than if he'd gotten fifteen carries for the same total. Efficiency matters more than volume in evaluating whether a back was actually effective. Another thing nobody mentions enough: defensive player stats from a blowout are nearly useless for evaluation. When you're up 20 points in the third quarter, the losing team's defenders are playing chase mode. Their tackle numbers inflate because they're pursuing plays that already have yards ahead of them. Look at separation stats and coverage snaps instead if you want a cleaner read on what those defenders actually did. If you're tracking these numbers for fantasy purposes, the useful stat is not what happened in one game. It's the trend across the last three to four weeks. One bad game for a Titans receiver doesn't mean he's ruled out. But if his snap count dropped from 78% to 52% over two games while his route participation stayed flat, that's a coaching decision that stats alone won't flag. You need to look at the depth chart and the practice report to connect those dots.

The biggest limitation of match player stats is that they don't capture scheme context. A quarterback who looks inefficient might have been running a script that required him to hold the ball longer than usual against a specific coverage look. A running back with low yardage might have been blocking well on pass plays, which doesn't show up anywhere except in film study. Stats are a starting point, not a verdict. For most people who just want quick access to the numbers, the NFL.com game center page for this matchup will give you everything you need in under a minute. If you're building a deeper analysis, pair the box score with the play-by-play log and a quick scan of the coverage snap counts. That combination takes about fifteen minutes and gives you a much clearer picture than any single stat line ever will.