Game Script Profiler
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A close game and a blowout produce completely different fantasy lines, and most players are wildly dependent on game flow without anyone noticing. Pass-catching backs feast when their team is trailing. Workhorse runners disappear in negative script. Quarterbacks pile up garbage-time numbers when they're losing and check out in clock-killing wins. This report breaks every player down by the score margin they played in and shows you exactly who shows up and who hides.
Pick a position (QB, RB, WR, or TE), choose a season range, and the page splits each player's games into Big Win, Close Win, Close Loss, and Big Loss buckets, with average fantasy points and game count in each cell. The Swing column ranks players by the gap between their best and worst scenario, so the most game-script dependent guys float to the top. Drag the Blowout Margin slider (7 to 21 points, default 14) to define your own threshold. Short takeaway labels appear for any bucket with at least two games to back them up.
Cross-reference with spread totals to see which teams actually play in blowouts versus close games. The DFS guide explains how to turn game environment into lineup decisions, the NFL betting guide covers favorites, underdogs, and moneyline value, and the NFL stats guide explains garbage time and neutral game script.
Some players feast when their team is winning big. They get extra carries or easy catches in garbage time. Others disappear when the game gets out of hand. This report splits every player's fantasy production by how their team was doing in the final score, so you can spot who thrives (or fades) in each scenario.
Game Script Splits
| # | Player | G | Avg FP | Big Win | Close Win | Close Loss | Big Loss | Swing |
|---|
| 1 | Thrives in close games | 6 | 14.3 | 15.0(1) | 7.4(2) | 18.7(3) | - | 11.2 |
| 2 | Feasts when team dominates (26.5 avg, 2g) | 7 | 19.9 | 26.5(2) | 21.1(1) | 16.3(4) | - | 10.3 |
| 3 | Thrives in close games | 7 | 19.8 | 24.1(1) | 22.1(2) | 13.0(2) | 21.9(2) | 9.2 |
| 4 | Thrives in close games | 6 | 23.8 | 28.9(1) | 19.3(3) | 28.1(2) | - | 8.9 |
| 5 | Thrives in close games | 6 | 12.4 | - | 10.8(3) | 19.1(2) | 3.5(1) | 8.3 |
| 6 | Thrives in close games | 7 | 16.0 | - | 10.1(2) | 18.4(5) | - | 8.2 |
| 7 | Thrives in close games | 5 | 16.6 | - | 21.4(2) | 13.3(2) | 13.6(1) | 8.2 |
| 8 | Thrives in close games | 7 | 20.4 | 15.8(1) | 21.7(2) | 24.6(2) | 17.1(2) | 7.5 |
| 9 | Thrives in close games | 6 | 17.8 | 17.0(3) | 24.5(2) | - | 7.0(1) | 7.5 |
| 10 | Thrives in close games | 7 | 16.2 | - | 12.2(2) | 19.5(2) | 16.8(3) | 7.3 |
| 11 | Thrives in close games | 7 | 19.7 | - | 24.7(2) | 18.2(4) | 15.9(1) | 6.5 |
| 12 | Thrives in close games | 6 | 22.9 | 22.5(2) | 19.9(2) | 26.1(2) | - | 6.3 |
| 13 | Best in big losss | 8 | 20.6 | 28.3(1) | 17.9(4) | 18.0(1) | 23.5(2) | 5.6 |
| 14 | Thrives in close games | 5 | 17.3 | 13.9(2) | 20.4(1) | 19.3(2) | - | 5.4 |
| 15 | Feasts when team dominates (23.4 avg, 2g) | 6 | 20.7 | 23.4(2) | 19.4(2) | 19.3(2) | - | 4.2 |
| 16 | Feasts when team dominates (25.3 avg, 2g) | 7 | 21.4 | 25.3(2) | 21.4(4) | 14.0(1) | - | 3.9 |
| 17 | Thrives in close games | 7 | 22.1 | 25.7(2) | 26.0(2) | 22.1(2) | 6.8(1) | 3.9 |
| 18 | Steady regardless of score | 6 | 15.6 | - | 26.0(1) | 12.7(2) | 14.1(3) | 1.4 |
| 19 | Steady regardless of score | 7 | 20.3 | 24.7(2) | 14.7(1) | 24.4(3) | 5.1(1) | 0.4 |
| 20 | Steady regardless of score | 7 | 16.9 | - | 17.7(5) | 24.0(1) | 6.0(1) | 0.0 |
| 21 | Steady regardless of score | 7 | 14.4 | 26.2(1) | 13.4(4) | 13.6(1) | 7.4(1) | 0.0 |
| 22 | Steady regardless of score | 7 | 20.1 | 20.9(1) | 27.0(1) | 18.2(4) | 20.0(1) | 0.0 |
| 23 | Steady regardless of score | 7 | 11.3 | - | 7.8(1) | 13.1(5) | 6.0(1) | 0.0 |
| 24 | Steady regardless of score | 7 | 10.7 | 9.9(1) | 10.9(1) | 11.0(4) | 10.0(1) | 0.0 |
| 25 | Steady regardless of score | 7 | 16.4 | - | 17.3(5) | 13.2(1) | 15.0(1) | 0.0 |
| 26 | Steady regardless of score | 5 | 8.0 | -0.3(1) | 13.9(1) | 8.8(3) | - | 0.0 |
| 27 | Steady regardless of score | 6 | 28.7 | - | 30.6(5) | 19.5(1) | - | 0.0 |
| 28 | Steady regardless of score | 6 | 12.1 | - | - | 12.5(5) | 9.8(1) | 0.0 |
| 29 | Steady regardless of score | 5 | 11.1 | 0.6(1) | 13.8(4) | - | - | 0.0 |
How does game script affect fantasy football production?
Game script swings fantasy production heavily: pass-catching backs feast in negative script, workhorse runners disappear in blowout losses, and quarterbacks pile up garbage-time numbers when trailing. League Station's 2026 tool splits every player's games into Big Win, Close Win, Close Loss, and Big Loss buckets and ranks the most script-dependent players by a Swing column.
Want the raw data behind these reports?
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