Arrow Ballistics Study | 2026

May 14, 2026
Tristan Litke
Founder, Precision Cut Archery
Front-of-center is one of the most debated topics in all of archery. This test is our attempt to separate fact from fiction on the topic.
Due to the nature of arrow construction, we cannot change front-of-center while holding every other variable constant. For example, stacking front weight changes front-of-center, total arrow weight, dynamic spine, and arrow speed all at once.
For this test, we built a matrix of 34 arrow builds spanning from roughly 10% to 25% front-of-center by combining four nominal spine values (200, 250, 300, 340), two Easton shaft families (5.0 and FMJ Max), and a range of internal FACT weight behind the same point.
We then ran the same test protocol on each build, and ran a regression model to tease out which variables lead to which performance improvements.
This article is an overview of our findings.
Every build in this article was shot from the same Hoyt AX3 33 (28″ draw, 70# draw weight) out of the Easton Precision Shooting Machine at 70 yards. In the days leading up to the test, each individual arrow was bare shaft nock tuned through paper. On test day, each build was then paper-tuned to a bullet hole at 15ft with the Hoyt XTS system before any groups were shot, off a fixed centershot. The only thing that changed across the 34 arrows was the shaft and the total point weight.
For full details on the test methods, build matrix, and analysis processes, check out the Front-of-Center Testing Overview and Front-of-Center Analysis Overview pages.
These are the primary measures we used to evaluate how a build performed:
This test protocol and analysis method is more complicated than our other tests. One key concept to understand is what a regression does and how we used one here.
Imagine you want to figure out how much a single bedroom adds to the value of a house. You could plot price against number of bedrooms across a bunch of houses and read the slope. The problem is that houses with more bedrooms also tend to be bigger overall, sit in different neighborhoods, and have different square footage. A simple bedrooms-vs-price scatter can't tell you whether price rose because of the bedroom or because of all the other things that came along with it.
A regression is a tool that uses all the data at once to estimate what each input is contributing on its own. The answer it gives is: "holding the other things equal, what does one more bedroom add to the price?"
Same idea here. We can't just plot front-of-center against broadhead group size and call it done, because builds with high front-of-center in our matrix also tended to be heavier, have different static spine, and be slightly slower. The regression lets us ask: "holding the other build details equal, what does each percentage point of front-of-center do to broadhead group size?"
The full math is on the Front-of-Center Analysis Overview page if you want it. For this article, just hang on to the idea that the numbers we report below are "the effect of each input on its own, with the other build details held equal," not what you'd see in a raw scatter.
We ran the regression to isolate two main things.
The chart below shows the isolated front-of-center effect on each of the four measurements. Each row is one measurement. The dot is the predicted change at +5 percentage points of front-of-center (so, going from 13% to 18%, for example), translated to inches at 70 yards. The bar around the dot is how sure we are about that estimate.
Negative numbers (left of zero) are good on every row, because tighter groups, less drift past field point, and less drift from synthetic aim are all what you want. A tight bar clearly to the left of zero is a confident improvement. A wide bar that crosses zero is closer to "the data can't tell."
On the two group-tightness measurements, the isolated front-of-center effect is clearly negative. More front-of-center, tighter groups. +5 percentage points of front-of-center predicts roughly 2 inches tighter mean radius on the tuned bow at 70 yards, and about 1 inch tighter on the torqued bow. On the two drift measurements (forgiveness to shooter error), the bars are wider and cross zero. The reason is discussed below in the "A Note on Forgiveness to Shooter Error" section.
FoC | Isolated Front-of-Center Effect
Predicted change at +5 percentage points of front-of-center, in inches at 70 yards, with total arrow weight and the other build details held equal. Bars are 95% confidence intervals; lower (left of zero) is better. Solid dots are results we're confident about; hollow dots are ones where the bar still crosses zero (the data can't tell).
The chart below shows the isolated effect of the two components of dynamic spine on each of the four measurements: static spine (a stiffer shaft) and total point weight (a lighter front).
Both components moved broadhead groups in the stiffer-dynamic-spine direction. Stepping 100 nominal spine units stiffer (for example, a 300 shaft to a 200) predicts about 0.9 inches tighter mean radius on the tuned bow broadhead group at 70 yards. Dropping 50 grains of total point weight, with front-of-center already in the model, predicts about 0.7 inches tighter on the same measurement. Smaller than the front-of-center effect, but both point the same way: a stiffer dynamic spine helped.
As a sanity check on the spine result, we also ran the regression with a hand-measured static spine instead of the manufacturer label, and the results were the same.
FoC | Isolated Dynamic-Spine Effect
Predicted change for two stiffer-dynamic-spine moves: a static-spine step of +100 nominal spine units stiffer (e.g. a 300 shaft to a 200) and a 50-grain drop in total point weight. Front-of-center is already in the regression, so each row isolates the component on its own. Bars are 95% confidence intervals; lower (left of zero) is better. Solid dots are results we're confident about; hollow dots are ones where the bar still crosses zero (the data can't tell).
The two drift measurements (drift past field point and drift from synthetic aim) are different from the group-tightness measurements in one important way. The answer to "did front-of-center help?" depends on whether we control for total arrow weight and launch speed in the regression.
If we don't control for arrow weight and launch speed, more front-of-center clearly predicted less drift on both measurements. +5 percentage points of front-of-center predicts about 1 inch less broadhead drift past field point, and a bit over 2 inches less broadhead drift from synthetic aim, at 70 yards. The chart below shows those estimates with their confidence intervals.
FoC | Front-of-Center Effect on Drift, Whole-build View
Predicted change at +5 percentage points of front-of-center, in inches at 70 yards, without holding total arrow weight or launch speed equal. This is the "whole-build" view, where higher-FoC arrows were also a little heavier and slower. Bars are 95% confidence intervals; lower (left of zero) is better. Solid dots are results we're confident about; hollow dots are ones where the bar still crosses zero (the data can't tell).
We feel reasonably comfortable treating launch speed as part of the package rather than a variable to control for, because a separate 2026 test of ours compared the same vanes and broadheads at ~290fps and ~325fps and didn't find a meaningful accuracy or forgiveness difference between the two. See Are Fast Arrows Less Forgiving? for the full comparison.
If we hold total arrow weight constant (asking what front-of-center does on its own), the data isn't sure. The bar crosses zero on both drift measurements in the isolated chart above.
In our 34 builds, the high front-of-center arrows tended to be heavier and slightly slower, because the front-of-center came from stacking inserts. The regression can't cleanly separate "more front-of-center" from "more weight" on the drift measurements when those moved together.
This is also a sample-size story. With 34 builds, the regression has limited power to untangle predictors that moved together in our matrix. A larger build matrix, or one that crossed point weight and front-of-center more independently, would give a sharper read on which version of the answer is right.
In our 34 arrows, three things improved performance, and we can't move them independently on a real arrow.
At the same time, we want to:
For example, adding total point weight to raise front-of-center is the obvious move. However, this hurts performance by the other two.
Increasing stiffness usually also means an increase in shaft weight, which hurts front-of-center.
There are also other factors we did not consider here:
The practical reading isn't "always go stiffer" or "always increase point weight." It's to raise front-of-center efficiently. Look for moves that pull the balance point forward without piling more mass behind the same point. A slightly stiffer shaft that stays inside what the bow can be tuned to. A shaft with a lower GPI (mass per inch) so more of the weight budget can sit in front of the balance point.
A few caveats:

Written by
Founder, Precision Cut Archery
Tristan Litke is the founder of Precision Cut Archery, a bowhunter, and a software engineer. For the 2026 Arrow Ballistics Study, he and his team led experiment design, data collection, analysis, and development of the website you're reading right now.