Oct 1, 2026; Cleveland, Ohio, USA; Cleveland Browns quarterback Deshaun Watson (4) reacts in the first half against the Pittsburgh Steelers at Huntington Bank Field. Mandatory Credit: Ken Blaze-Imagn Images
The Cleveland Browns are 3-1 after four games, but their record tells only part of the story. The Browns lost heavily in Jacksonville, then won three games by a combined ten points. They have scored 81 points and allowed 95. The useful scouting question is how much of that narrow winning margin their offense and defense can sustain.
The clearest pressure point: Cleveland converted only 3 of 24 third downs with at least seven yards to gain. Its defense has produced 12 sacks, but opponents have also generated 29 explosive gains under the thresholds used here.
| Game | Result | CLE third downs | Sacks allowed | Sacks made | ||
|---|---|---|---|---|---|---|
| W1 at Jacksonville | L 10-34 | 12.5% (1/8) | 5 | 1 | ||
| W2 at Tampa Bay | W 23-19 | 38.5% (5/13) | 2 | 3 | ||
| W3 vs. Carolina | W 21-18 | 33.3% (5/15) | 2 | 3 | ||
| W4 vs. Pittsburgh | W 27-24 | 40.0% (4/10) | 2 | 5 | ||
The Browns used a drop back on 62.8% (140/223) of their counted offensive plays and lined up in the film-charted shotgun family on 73.5% (164/223). Three receiving options, KC Concepcion, Harold Fannin and Denzel Boston, accounted for 73 of 116 credited throws. That gives an opponent a useful starting point for personnel preparation, even though target volume alone cannot establish route assignments or coverage matchups.
The defense has finished more sacks as the window progressed: one in Week 1, three in each of Weeks 2 and 3, and five against Pittsburgh. That is meaningful production. The explosive plays conceded and limited pressure-onset measurements keep the broader defensive picture less settled.
Cleveland converted 15 of 46 third downs overall (32.6%). Distance changes the picture sharply: 8 of 13 at third and one to three, compared with 3 of 24 at third and seven or more. An opposing defense has a concrete objective: create long-yardage situations before choosing its third-down pressure and coverage answers.
The passing game carried most of the volume, while the run-classified sample produced five gains of at least ten yards on 83 plays. Cleveland also allowed 11 sacks on 140 drop backs (7.9%), with five of those sacks coming in the Jacksonville loss. That uneven distribution argues for checking the situation and opponent before treating the opener as a recurring protection weakness.
Across all 116 credited throws, snap-to-release time averaged 2.47 seconds, with a 2.32-second median. 63 throws (54.3%) came out in 2.5 seconds or less; 31 (26.7%) took more than three seconds. These are descriptive timing bands, rather than universal grades for a good or bad decision.
| Sample | Throws | Mean TTT | Median TTT | Release mean (n) | ||
|---|---|---|---|---|---|---|
| Week 1 | 22 | 2.70 s | 2.83 s | 0.265 s (21) | ||
| Week 2 | 30 | 2.17 s | 2.15 s | 0.246 s (30) | ||
| Week 3 | 31 | 2.92 s | 2.76 s | 0.224 s (28) | ||
| Week 4 | 33 | 2.15 s | 1.96 s | 0.248 s (28) | ||
| Four-game pool | 116 | 2.47 s | 2.32 s | 0.245 s (107) | ||
Watson accounts for 115 throws: his mean TTT was 2.46 seconds and his median was 2.30. Shedeur Sanders has one credited throw, timed at 2.97 seconds. The single Sanders rep cannot establish his usual tempo. The Carolina game had the longest pooled mean at 2.92 seconds; Tampa Bay and Pittsburgh were both near 2.15 seconds.
Release duration measures the throwing motion itself, from deliberate windup onset to ball release. Watson averaged 0.245 seconds on 106 measurable throws; Sanders’ one measurable release was 0.200 seconds. This experimental measure answers a different question from TTT: a compact throwing motion can still follow a long hold in the pocket.
| Receiver | Targets | Share of 116 attempts | ||
|---|---|---|---|---|
| KC Concepcion | 28 | 24.1% | ||
| Harold Fannin | 23 | 19.8% | ||
| Denzel Boston | 22 | 19.0% | ||
Those three players drew 62.9% of credited attempts combined. Their alignments and third-down roles deserve attention in a matchup plan. The Week 4 game book also lists Luke Wypler at center after Elgton Jenkins started there in the first three games; that is a personnel change.
Cleveland ran on 35 of 59 under-center snaps (59.3%), compared with 48 of 164 shotgun-family snaps (29.3%). Under center is a useful run indicator, with 24 drop backs keeping the passing threat live. The alignment chart covers every counted offensive play in the four-game window.
| QB alignment | Plays | Runs | Drop backs | Run frequency | ||
|---|---|---|---|---|---|---|
| Under center | 59 | 35 | 24 | 59.3% (35/59) | ||
| Shotgun family | 164 | 48 | 116 | 29.3% (48/164) | ||
| QB alignment | Runs / yards | Yards / run | EPA / run | Success | Runs 10+ | ||
|---|---|---|---|---|---|---|---|
| Under center | 35 / 63 | 1.80 | -0.518 (n=35) | 22.9% (8/35) | 1/35 | ||
| Shotgun family | 48 / 211 | 4.40 | -0.133 (n=48) | 39.6% (19/48) | 4/48 | ||
| Game | QB alignment | Run frequency | Runs / yards | Yards / run | EPA / run | ||
|---|---|---|---|---|---|---|---|
| W1 at JAX | Under center | 7/16 (43.8%) | 7 / 19 | 2.71 | -0.312 | ||
| W1 at JAX | Shotgun family | 12/33 (36.4%) | 12 / 48 | 4.00 | -0.007 | ||
| W2 at TB | Under center | 12/19 (63.2%) | 12 / 13 | 1.08 | -0.747 | ||
| W2 at TB | Shotgun family | 6/34 (17.6%) | 6 / 19 | 3.17 | -0.214 | ||
| W3 vs. CAR | Under center | 10/16 (62.5%) | 10 / 26 | 2.60 | -0.487 | ||
| W3 vs. CAR | Shotgun family | 13/45 (28.9%) | 13 / 63 | 4.85 | -0.145 | ||
| W4 vs. PIT | Under center | 6/8 (75.0%) | 6 / 5 | 0.83 | -0.352 | ||
| W4 vs. PIT | Shotgun family | 17/52 (32.7%) | 17 / 81 | 4.76 | -0.184 | ||
Cleveland ran more frequently from under center, yet shotgun runs gained more yards per play in each of the four games. Both pooled run groups had negative EPA. Treat this as a scouting tendency: down, distance, field position, opponent and score can change the comparison; these figures do not isolate a causal formation advantage.
The pooled rushing success rates were 22.9% under center and 39.6% from shotgun. Cleveland had one under-center run of at least ten yards and four from shotgun. Pittsburgh supplied the largest shotgun gain, a 28-yard run; productive exceptions matter, while the negative EPA in both groups keeps the efficiency concerns visible.
All 223 ordinary Cleveland offensive plays have independently reviewed native-film QB alignments (0 unknown). The shotgun family includes pistol and other off-center snaps. Runs, yards, and EPA use retained play-by-play classifications; sacks and scrambles count as drop backs. Success means EPA greater than zero. Personnel groupings, receiver distributions and blocking concepts are outside this alignment chart.
Cleveland’s 12 sacks on 159 opposing drop backs produce a 7.5% sack rate. Opponents converted 20 of 53 third downs (37.7%); that fell from 12 of 25 in the first two games to 8 of 28 in the last two. The recent results provide encouraging examples, although opponent and distance differences still matter.
The counterweight is chunk yardage. Opponents gained at least ten yards on 14 of 93 run-classified plays (15.1%) and at least twenty on 15 of 159 drop backs (9.4%). An offense facing Cleveland should respect the sack threat while looking for explosive opportunities. The available chart does not establish a particular front or coverage as the cause.
Ten of the twelve official sacks have bounded time-to-sack estimates: 3.59 seconds on average, a 3.70-second median, and a 2.10-4.30-second range. These values describe completed sack plays. Pressure arrival is measured on only one rep, so there is no representative team TTP estimate or reliable full-sample pressure rate.
| Metric | Cleveland offense | Opponents vs. CLE | ||
|---|---|---|---|---|
| EPA / play | -0.022 (n=223) | +0.020 (n=252) | ||
| EPA / drop back | +0.139 (n=140) | +0.045 (n=159) | ||
| EPA / run | -0.295 (n=83) | -0.023 (n=93) | ||
| Positive-EPA success | 43.0% (n=223) | 44.4% (n=252) | ||
| CPOE | +1.4 pp (n=115) | +1.8 pp (n=135) | ||
| Average target depth | 6.54 yd (n=116) | 10.62 yd (n=144) | ||
EPA estimates how much a play changes the offense’s expected scoring value. Cleveland’s +0.139 EPA per drop back contrasts with -0.295 per run: the passing sample supplied value while the run-classified sample reduced it. The overall offense was slightly negative; opponents were slightly positive. For the defensive column, lower opposing EPA favors Cleveland. These are raw four-game values, with no league ranking or opponent adjustment.
Success rate here means positive EPA, rather than a fixed yardage rule. CPOE compares actual completions with the model’s expected completion probability, reported in percentage points. Target depth is the average air-yard distance of a pass attempt; it helps describe the throwing menu but does not measure receiver separation.
Andre Szmyt made all eight credited field-goal attempts, including the 56-yard winner with 15 seconds left against Pittsburgh. That small sample gives opponents a reason to account for Cleveland’s late-game scoring range. It does not grade the entire protection, snap or hold operation.
Against the Browns offense, the strongest outcome-based objective is to force third and long. Prepare for Concepcion, Fannin and Boston without assuming that their target counts identify a particular route or coverage answer. Combine the play-level timing evidence with down, distance, and route development before assigning a long hold to the quarterback or protection.
Against the Browns defense, build a plan that respects the twelve sack finishes and still tests its explosive-play concessions. The current evidence supports reviewing rush paths, protection and receiver windows on the listed examples. It does not support choosing a protection scheme from a measured team pressure rate.
| Metric | Cleveland offense | Opponents vs. CLE | ||
|---|---|---|---|---|
| Drop back share | 62.8% (140/223) | 63.1% (159/252) | ||
| PBP shotgun share | 73.5% (164/223) | 61.9% (156/252) | ||
| Third-down conversion | 32.6% (15/46) | 37.7% (20/53) | ||
| Third and 7+ conversion | 12.5% (3/24) | 25.9% (7/27) | ||
| Third and 1-3 conversion | 61.5% (8/13) | 64.7% (11/17) | ||
| Sacks / drop backs | 7.9% (11/140) | 7.5% (12/159) | ||
| Explosive runs: 10+ yards | 6.0% (5/83) | 15.1% (14/93) | ||
| Explosive drop backs: 20+ yards | 7.9% (11/140) | 9.4% (15/159) | ||
The window is Jacksonville, Tampa Bay, Carolina and Pittsburgh in 2026 Weeks 1-4. Outcome and model-based statistics use the retained NFLverse play-by-play; scores, selected results and personnel references were cross-checked against official game books. EPA, success, and CPOE are nflfastR-derived measures, rather than official NFL film grades.
Efficiency covers 223 Browns offensive plays and 252 opposing offensive plays. No-play penalties, kneels, spikes, conversions and special teams are excluded. Drop backs include sacks and non-throwing scrambles. Run outcomes come from play-by-play. Offensive QB alignment is independently film-charted on all 223 plays; shotgun family includes pistol. The situation dashboard retains separately labeled PBP shotgun flags for both phases. Explosives use 10+ yards on run-classified plays and 20+ yards on drop backs. Red-zone play counts are not drive scoring rates.
All 125 physical Browns throws have reviewed timing outcomes: 116 credited throws plus nine supplemental throws, including actions outside the credited-attempt sample. Credited means use 116 bounded TTT estimates and 107 measurable releases; nine credited release duration are unmeasurable. TTT excludes sacks and non-throwing scrambles, so it is not an average for every drop back. Both film angles count as one play.
Film review covers 642 of 648 physical events; six remain without a verified interval and none is in the 223-play ordinary offense alignment chart. Pressure is classified on 12 of 159 opposing drop backs, with 21 unclear and 126 unreviewed pressure states. Ten sacks have timed endpoints and two do not. Personnel, receiver distributions, concepts, assignments and defensive formations remain insufficiently charted for full-sample scheme tendencies. These limits matter most when interpreting pressure and coverage causes.
Play IDs and source intervals identify local All-22 evidence; video files are not embedded in this publication edition.