PRACTICAL EXPLANATION OF THE EFFECT OF VELOCITY VARIATION IN SHAPED PROJECTILE PAINTBALL MARKERS. Document Authors David Cady & David Williams

Similar documents
An Engineering Approach to Precision Ammunition Development. Justin Pierce Design Engineer Government and International Contracts ATK Sporting Group

1wsSMAM 319 Some Examples of Graphical Display of Data

In addition to reading this assignment, also read Appendices A and B.

Process Dynamics, Operations, and Control Lecture Notes - 20

y ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together

Design Review Agenda

CHAPTER 1 ORGANIZATION OF DATA SETS

Chapter 12 Practice Test

1. A cannon shoots a clown directly upward with a speed of 20 m/s. What height will the clown reach?

Foreword John Anderson ix Acknowledgments xi

(2) An object has an initial speed u and an acceleration a. After time t, its speed is v and it has moved through a distance s.

1. The data below gives the eye colors of 20 students in a Statistics class. Make a frequency table for the data.

Paper 2.2. Operation of Ultrasonic Flow Meters at Conditions Different Than Their Calibration

Section I: Multiple Choice Select the best answer for each problem.

International Journal of Technical Research and Applications e-issn: , Volume 4, Issue 3 (May-June, 2016), PP.

How To Get Started Using Your Kestrel

Legendre et al Appendices and Supplements, p. 1

Hornady 4 Degree of Freedom (4 DOF) Trajectory Program

UNITED STATES MARINE CORPS WEAPONS TRAINING BATTALION MARINE CORPS COMBAT DEVELOPMENT COMMAND QUANTICO, VIRGINIA INSTRUCTOR GUIDE

Practice Test: Vectors and Projectile Motion

Novel empirical correlations for estimation of bubble point pressure, saturated viscosity and gas solubility of crude oils

Calculation of Trail Usage from Counter Data

Equation 1: F spring = kx. Where F is the force of the spring, k is the spring constant and x is the displacement of the spring. Equation 2: F = mg

Projectile Motion (8/24/11) (approx. completion time for just parts A & B: 1.5 h; for entire lab: 2.3 h)

Running head: DATA ANALYSIS AND INTERPRETATION 1

Projectile Motion. Using Pasco Mini-Launcher

23 RD INTERNATIONAL SYMPOSIUM ON BALLISTICS TARRAGONA, SPAIN APRIL 2007

Variable Volume Chamber Cannon ( V²C² )

Robert Jones Bandage Report

Introduction. Physics E-1a Expt 4a: Conservation of Momentum and Fall 2006 The Ballistic Pendulum

The pth percentile of a distribution is the value with p percent of the observations less than it.

Projectile Motion INTRODUCTION. Time-of-flight vs. Initial Velocity. Projectile Motion

Precision Long Range.22LR

Analysis of Variance. Copyright 2014 Pearson Education, Inc.

Reduced Loads Without Reloading

EFFECTS OF BARREL LENGTH ON BORE PRESSURE, PROJECTILE VELOCITY and SOUND MEASUREMENT

THE BALLISTIC PENDULUM

Autodesk Moldflow Communicator Process settings

Varmint Rifle Accuracy Versus Target Size and Distance

The Use of a Process Simulator to Model Aeration Control Valve Position and System Pressure

MILSIG HEAT CORE MAINTENANCE GUIDE

Procedia Engineering Procedia Engineering 2 (2010)

Lab # 03: Visualization of Shock Waves by using Schlieren Technique

The other thing about ranges that are tree lined on both sides like Lodi (above), Oak Ridge (below),

a) List and define all assumptions for multiple OLS regression. These are all listed in section 6.5

Building an NFL performance metric

Richard S. Marken The RAND Corporation

Boyle s Law: Pressure-Volume Relationship in Gases

Statistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007

Chapter 2: Modeling Distributions of Data

Loading Information. By: Derrick Martin. Printed in Precision Shooting Magazine

Predicted Dispense Volume vs. Gravimetric Measurement for the MICROLAB 600. November 2010

Lab 11: Introduction to Linear Regression

Training for High Muzzle Energy (HME) zeroing on MOD Ranges

How to Calculate Point Blank Range Using 7.62X39 Ammo. By Mike Lee mm-industries.com

Stat 139 Homework 3 Solutions, Spring 2015

TABLE OF CONTENT IMPORTANT HPA AIR TANK SAFETY INSTRUCTIONS AND GUIDELINES RYSE ON/OFF ASA GETTING STARTED O-RING LIST SCREW LIST MICRO SQ BOARD

STEEL SHOT: WHAT YOU NEED TO KNOW. Part 2

Gerald D. Anderson. Education Technical Specialist

Practice Test Unit 06B 11A: Probability, Permutations and Combinations. Practice Test Unit 11B: Data Analysis

Physics 11 Unit III Practice Test Projectile Motion. Instructions: Pick the best answer available in Part A and Show all your work for Part B

CORESTA RECOMMENDED METHOD N 6

Boyle s Law: Pressure-Volume. Relationship in Gases

PRESSURE-TEMPERATURE RELATIONSHIP IN GASES

Analysis of Traditional Yaw Measurements

Exponent's Fundamentally Flawed Research

RPM Test; a tale with three twists. Chapter I

3.3 - Measures of Position

Applying Hooke s Law to Multiple Bungee Cords. Introduction

Computing the Probability of Scoring a 2 in Disc Golf Revised November 20, 2014 Steve West Disc Golf, LLC

Lab 1c Isentropic Blow-down Process and Discharge Coefficient

Unit 2 Review: Projectile Motion

Is lung capacity affected by smoking, sport, height or gender. Table of contents

Wade Reynolds 1 Frank Young 1,2 Peter Gibbings 1,2. University of Southern Queensland Toowoomba 4350 AUSTRALIA

Ballistics and Trajectory

Grade: 8. Author(s): Hope Phillips

Vapor Pressure of Liquids

STANDARD FOR CONTROL VALVE SEAT LEAKAGE

Lesson 14: Modeling Relationships with a Line

Variable Face Milling to Normalize Putter Ball Speed and Maximize Forgiveness

Lab 4: Transpiration

Lab #12:Boyle s Law, Dec. 20, 2016 Pressure-Volume Relationship in Gases

MAYHEM MAYHEM OWNERS MANUAL. Paintball Guns International. Manufactured by

Warm-up. Make a bar graph to display these data. What additional information do you need to make a pie chart?

Auto-Zero Calibration Technique for Pressure Sensors

A Nomogram Of Performances In Endurance Running Based On Logarithmic Model Of Péronnet-Thibault

Algebra I: A Fresh Approach. By Christy Walters

Phys 201A. Lab 6 - Motion with Constant acceleration Kinematic Equations

Ozobot Bit Classroom Application: Boyle s Law Simulation

CCI-SPEER Development Engineering Lewiston ID USA

#LZ400 LEAKALYZER. Water Loss Sensor INSTRUCTION MANUAL Country Dr. #190 St. Paul, MN

Practice Test Unit 6B/11A/11B: Probability and Logic

Analysis of Shear Lag in Steel Angle Connectors

nvisti Kestrel Companion Pro For Android

TIPPMANN MODEL 98 f/x

Lab 1. Adiabatic and reversible compression of a gas

Mid Length vs. Carbine Length Gas System on 14.5 Upper Receiver Group Test Andrew J. Zirkelbach NSWC Crane

LOW PRESSURE EFFUSION OF GASES adapted by Luke Hanley and Mike Trenary

JEPonline Journal of Exercise Physiologyonline

Boyle s Law: Pressure-Volume Relationship in Gases

Transcription:

PRACTICAL EXPLANATION OF THE EFFECT OF VELOCITY VARIATION IN SHAPED PROJECTILE PAINTBALL MARKERS Document Authors David Cady & David Williams Marker Evaluations Lou Arthur, Matt Sauvageau, Chris Fisher & David Williams August 14, 2017

TABLE OF CONTENTS: ABSTRACT... 3 INTRODUCTION... 3 Figure 1: Example Statistical Summary Report... 4 Shifting the : Example Statistical Summary Report... 5 Table 1: Measured vs Adjusted Values... 5 Figure 2: Graphical Summary of Measured vs Adjusted Values... 6 Figure 3: Measured and Shifted Values... 6 OBJECTIVE... 7 EQUIPMENT... 7 PROCEDURE... 7 CALCULATING VERTICAL SHOT OFFSET... 8 Figure 4: Derived Non-linear 100 Yard Impact Equation... 8 Table 2: Example Muzzle Velocities and Calculated Vertical Impact Points... 9 Figure 5: Graphical Statistical Summary of Vertical Shot Offset for SAR12 BA... 10 RESULTS/ DATA... 10 Figure 6: Graphical Probability for Individual Markers Tested... 11 Figure 7: SAR12 SASS G2 Shot Number vs Muzzle... 12 Figure 8: MCS/RAP4 DMR Shot Number vs Muzzle... 13 Figure 9: SAR12 SASS G2 Graphical Summary... 14 Figure 10: MCS/RAP4 DMR Graphical Summary... 15 Figure 11: SAR12 SASS G2 Theoretical Impact Points @ 100 yards... 16 Figure 12: MCS/RAP4 DMR Theoretical Impact Points @ 100 Yards... 17 Figure 13: Theoretical Impact Points @ 100 Yards, All Markers Tested... 18 MUZZLE VELOCITY FPS VARIATION PROBABILITY... 19 Table 3: Individual Marker probability of Muzzle and Vertical Spread... 19 CONCLUSION(S)... 20 APPENDIX... 21 Figure A-1: FS Weight Distribution Per Case... 21 Figure A-2: CCM SR1-HPA/ Weight Matched FSR... 22 Figure A-3: CCM SR1-HPA/ Comparison of Weighed FSR... 23 Figure A-4/ A-13: Individual Tested Marker Shot Strings... 24-33 Figure A-14/ A-23: Graphical Summary of Individual Markers... 34-43 Figure A-24/ A-33: Individual Marker Theoretical Impact Points @ 100 Yards... 44-53 PAGE 2

ABSTRACT: In 2009, the game of paintball got a huge technological improvement when shaped paintball projectiles were introduced to the market. Since then, companies have been developing marker platforms that operate and function reliably when using these shaped projectiles. For the most part, almost all these companies have been focusing on modifying existing equipment to reliably feed and fire the rounds. But, what was the effect of these modifications on the performance of those paintball markers? Since the inception of paintball, and leading up to the release of First Strike rounds, the main indicators of paintball marker performance were reliable feeding of round balls, velocity consistency, and air efficiency. Due to the inherent physical limitations of round smooth projectiles, often coupled with manufacturing or packaging imperfections, shot velocity was somewhat irrelevant at variations tighter than +/-5 fps because the markers were designed to shoot many rounds sequentially. With the introduction of shaped projectiles, a new type of play style became more practical the long range sniper role. Using these markers that are designed to fire the shaped projectiles, players can now effectively hit targets previously unreachable. Shot accuracy and repeatability have become much more important. Players are using scopes and they want to know that their round will hit close to where they are aiming. When in this situation, should players be concerned with shot to shot velocity variation? This paper attempts to answer the question: Does shot to shot velocity variation really matter? INTRODUCTION: Initially the purpose of this project was to evaluate the performance of the SAR12 second generation semi auto engine against the known performance of the bolt action engine. Within the group of Carmatech Beta Testers, we wanted to validate, or invalidate the design of the semi auto. In the early stages of this testing, our focus was on continuous improvement on tighter fps swings. Once the testing was completed and results of the semi auto engine were analyzed, curiosity set in as paintball players. We wanted to see what different platforms provided in terms of shot to shot velocity variation. To players, these tests can be valuable, regardless if they are just entering the market, or are already participating in magfed. In the science of statistics, in order to produce accurate normal distribution curves, which can predict future performance of that particular setup, we must use a sample size of 30 units or more. Using fewer units will more than likely tighten up the standard deviation (+/- fps in this case); however, it cannot be assumed to represent the total population. For example, let s look at a three shot string. 279 280 281 PAGE 3

From this given information we can calculate the average to be 280 fps. It would be common of players to say "This marker is performing at +/-1 fps This very small data set limits our "view" of that markers true capability. If we continued on with additional data points, the spread would widen. For example 279 280 281 279 278 277 281 282 285 281 Summary Report for 10 shot string Anderson-Darling Normality Test A-Squared 0.28 P-Value 0.552 280.30 StDev 2.26 Variance 5.12 Skewness 0.68577 Kurtosis 1.06223 N 10 278 280 282 284 Minimum 277.00 1st Quartile 278.75 Median 280.50 3rd Quartile 281.25 Maximum 285.00 95% Confidence Interval for 278.68 281.92 95% Confidence Interval for Median 278.66 281.34 95% Confidence Interval for StDev 1.56 4.13 95% Confidence Intervals Median 279 280 281 282 Figure 1: Summary Report of Above Population Notice how the first three shots that we believed to yield +/-1 fps results, no longer gives us that variation. With 10 shots, our standard deviation is now +- 2.26fps. In statistics, the minimum number of samples needed to ensure the data are normally distributed is 30. Normally distributed data makes analysis much easier and allows us to make assumptions about the population. Because of this, our study used a minimum of 30 samples yielded from each marker. PAGE 4

SHIFTING THE MEAN Another operation that was performed on each data set was to shift the mean of the data to 280 so that each shot graph would line up to the same point on the x-y axis. This was accomplished quite simply by the following method: 1. Determine the mean of the 30 measured velocity values. 2. Determine the difference between this mean and 280.00 3. Add this difference to each measured value. 4. The result has no effect on the statistics or for determining standard deviation as shown in the following example. Shot Number Measured Difference from 280 Shifted velocity 1 278.80 2.19 280.99 2 278.50 2.19 280.69 3 277.60 2.19 279.79 4 278.80 2.19 280.99 5 277.70 2.19 279.89 6 279.00 2.19 281.19 7 280.80 2.19 282.99 8 280.90 2.19 283.09 9 277.10 2.19 279.29 10 278.80 2.19 280.99 11 278.00 2.19 280.19 12 277.70 2.19 279.89 13 274.80 2.19 276.99 14 277.00 2.19 279.19 15 278.10 2.19 280.29 16 276.90 2.19 279.09 17 278.80 2.19 280.99 18 278.80 2.19 280.99 19 278.50 2.19 280.69 20 274.90 2.19 277.09 21 276.70 2.19 278.89 22 276.70 2.19 278.89 23 276.20 2.19 278.39 24 277.90 2.19 280.09 25 277.30 2.19 279.49 26 278.00 2.19 280.19 27 277.50 2.19 279.69 28 276.30 2.19 278.49 29 278.10 2.19 280.29 30 278.20 2.19 280.39 277.81 280.00 Table 1 Measured vs adjusted values for the SAR12 Bolt Action PAGE 5

Summary Report for Measured Vel. - SAR12 Bolt act Anderson-Darling Normality Test A-Squared 0.50 P-Value 0.193 Summary Report for Shifted - SAR12 Bolt A Anderson-Darling Normality Test A-Squared 0.50 P-Value 0.193 277.81 StDev 1.36 Variance 1.84 Skewness -0.01574 Kurtosis 1.01824 N 30 280.00 StDev 1.36 Variance 1.84 Skewness -0.01574 Kurtosis 1.01824 N 30 Minimum 274.80 1st Quartile 276.98 Median 277.95 3rd Quartile 278.80 Maximum 280.90 Minimum 276.99 1st Quartile 279.16 Median 280.14 3rd Quartile 280.99 Maximum 283.09 95% Confidence Interval for 95% Confidence Interval for 277.31 278.32 279.49 280.51 275 276 277 278 279 280 281 95% Confidence Interval for Median 277.35 278.43 277 278 279 280 281 282 283 95% Confidence Interval for Median 279.53 280.62 95% Confidence Interval for StDev 95% Confidence Interval for StDev 1.08 1.82 1.08 1.82 95% Confidence Intervals 95% Confidence Intervals Median Median 277.2 277.4 277.6 277.8 278.0 278.2 278.4 279.50 279.75 280.00 280.25 280.50 280.75 Figure 2 Graphical summary of measured and shifted mean values for velocity SAR12 Bolt Action Boxplot showing no affect of shifting mean SAR 12 Bolt Action 283 282 281 280 Data 279 278 277 276 275 274 Measured Vel. - SAR12 Bolt act Shifted - SAR12 Bolt A Figure 3 Measured and shifted mean values for velocity SAR12 Bolt Action PAGE 6

OBJECTIVE(S): The objectives of these tests are to: 1. Measure and document a 30 shot sample set per marker. 2. Using Minitab, calculate statistical information about each shot string, including standard deviation, mean, and whether the data are normal 3. Graph each sample sets velocity per shot 4. Graph the distribution, 5. Calculate the vertical shot offset of each shot at 100 yards and graph them 6. Note: These graphs will represent the best or ideal case scenario. This assumes that all other variables are ignored, such as wind, temperature, humidity, projectile weight / dimension differences, projectile imperfections, barrel to projectile match, barrel length, barrel characteristics. EQUIPMENT: 1. Xcortech 3200X optical chronograph (>99% accuracy) 2. Xcortech 3500X optical chronograph (>99% accuracy) 3. Shooting Chrony Beta optical chronograph (> 99% accuracy) 4. Hawke Chairgun Pro software 5. Minitab statistical software 6. MS Excel software 7. Carmatech SAR12C G2 Semi Auto rifle - Stock 8. Carmatech SAR12C Bolt action rifle - Stock 9. Dye Dam Semi Auto Rifle Lapco 0.683 barrel 10. Maxtact TGR R1 Semi Auto Rifle - Stock 11. Milsig M17 (Semi Auto Config) Rifle - Stock 12. CCM SSR Bolt Action Rifle, Lapco 0.683 rifled barrel 13. First Strike T15 - Stock 14. Hammer 7 - Stock 15. MCS/RAP4 DMR 0.686 SP Barrel 16. Ninja 800 psi output 13/3000 air system 17. Ninja 500 psi output 13/3000 air system 18. First Strike rounds, right out of the box. PROCEDURE: The procedure was rather simple and repetitive across all markers being tested. 1. Setup the chronograph 2. Air up the marker 3. Shoot through the sensors on the optical chronograph 4. Make needed adjustment to marker to get fps close to 280 5. Once adjusted, take another shot 6. Document velocity as displayed 7. Repeat, being cautious about repeating time interval between shots 8. Marker evaluation completed after 30 consecutive shots PAGE 7

9. Repeat steps two through eight with next marker 10. Calculate the mean of the shot string and shift to 280fps 11. Calculate the vertical shot offset from zero 12. Calculate the probability of velocity ranges for each marker 13. Derive the formula for vertical shot offset for each marker s data set to calculate the vertical offset at any velocity 14. Graph the vertical shot offset for each marker for each velocity range CALCULATING VERTICAL SHOT OFFSET FROM ZERO: In order to calculate the vertical impact point of a shaped projectile at a given velocity, ballistics software Hawke Chairgun Pro was used. First strikes have a known ballistics coefficient that was calculated from experimental data during the impact testing for the ASTM subcommittee. Go here to view the report: http://www.shapedprojectiletesting.com/ Velocities (from 200fps to 350fps) were plugged into the software, along with the ballistics coefficient, and the calculated points of impact were recorded. The resulting scatterplot yielded a 3 rd order quadratic curve, meaning the data relationships are nonlinear. We can then use nonlinear regression, with the velocity and impact points (all other variables ignored) to derive a formula for impact point distance from horizontal at a given velocity. Fitted Line Plot Point of impact @ 100y = - 3802 + 28.96 (FPS) - 0.08101 (FPS)^2 + 0.000079 (FPS)^3 Point of impact @ 100y -200-300 -400-500 -600 Regression 95% CI 95% PI S 1.12824 R-Sq 100.0% R-Sq(adj) 100.0% 200 220 240 260 280 300 (FPS) 320 340 360 PAGE 8

Figure 4: Derived Non-Linear 100 Yard Impact Equation Now that we have the equation for Vertical shot offset from zero at any given velocity, we can calculate the vertical shot offset variation for each 30 velocity shot string for each marker. For example, following are the SAR12 bolt action velocity data and the calculated vertical impact point variation: SHOT VELOCITY DROP FROM THEORETICAL DEVIATION BARREL AT POI @ 280 FPS FROM 100 YARDS @ 100 YRDS CENTER (INCHES) Shot # (FPS) (INCHES) (INCHES) 1 281-283 -286 2 2 281-284 -286 2 3 280-286 -286 1 4 281-283 -286 2 5 280-286 -286 0 6 281-283 -286 3 7 283-279 -286 7 8 283-278 -286 7 9 279-287 -286-2 10 281-283 -286 2 11 280-285 -286 0 12 280-286 -286 0 13 277-293 -286-7 14 279-288 -286-2 15 280-285 -286 1 16 279-288 -286-2 17 281-283 -286 2 18 281-283 -286 2 19 281-284 -286 2 20 277-293 -286-7 21 279-288 -286-3 22 279-288 -286-3 23 278-290 -286-4 24 280-285 -286 0 25 279-287 -286-1 26 280-285 -286 0 27 280-286 -286-1 28 278-289 -286-4 29 280-285 -286 1 30 280-285 -286 1 Table 2: Example Muzzle Velocities and Calculated Vertical Impact Points PAGE 9

Summary Report for SAR Bolt Action Vertical Offset Anderson-Darling Normality Test A-Squared 0.50 P-Value 0.190 0.02458 StDev 3.28872 Variance 10.81569 Skewness 0.07954 Kurtosis 1.00782 N 30-8 -4 0 4 8 Minimum -7.34616 1st Quartile -2.37615 Median -0.33069 3rd Quartile 2.04005 Maximum 7.42519 95% Confidence Interval for -1.20345 1.25261 95% Confidence Interval for Median -1.49133 1.13554 95% Confidence Interval for StDev 2.61916 4.42108 95% Confidence Intervals Median -1.5-1.0-0.5 0.0 0.5 1.0 Figure 5: Graphical statistical summary of vertical shot offset for SAR12 Bolt Action From the above graph, we can say that the vertical impact point variation at 100 yards is +- 3.28, based on the shot to shot velocity variation. DATA AND RESULTS: Graphical data to be shown in the following lists in the appendix: 1. Shot Count vs. Muzzle a. The best and worst markers tested (Figures 7-8) b. All markers tested are in the Appendix in Figures A4-A13 2. Minitab statistical graphical summary of each shot string, showing mean, standard deviation and Anderson Darling normality test. a. The graphs of each shot string for the best and worst marker tested (Figures 9-10). b. The graphs of each shot string for all markers are in the Appendix in Figures A14-A23 3. Theoretical point of vertical impact based on individual shot velocities. a. The graphs of each shot string for the best and worst marker tested (Figures 11-12). b. The graphs of each shot string for all markers tested are in the Appendix in Figures A24-A33 4. Summary of theoretical vertical shot locations, for all markers (Figure 13) 5. Probability Table, based on 30 shot strings (Table 3) PAGE 10

"OUT OF THE BOX" SHOT CONSISTENCY OF DIFFERENT FIRST STRIKE CAPABLE MARKERS (30 CONSECUTIVE SHOT SAMPLE SIZE) TALLER CURVE = GREATER SAR12 G2 SEMI +/- 1.35 FPS SAR12 BOLT ACTION +/- 1.36 FPS SSR-HPA,.683 LAPCO +/- 2.26 FPS DYE DAM +/- 2.80 FPS MAXTACT TGR1 +/- 3.17 FPS MILSIG M17 +/- 3.39 FPS HAMMER 7 +/-3.75 FPS SSR-CO2,.683 BRL +/- 3.85 FPS FIRST STRIKE T15 +/- 7.97 FPS MCS DMR +/-10.88 FPS 250 260 270 280 290 300 310 Figure 6: FPS Probability based on 30 shot sample size for the individual markers tested PAGE 11

300.0 SAR G2 SEMI SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 VELOCIT Y SPREAD (FPS) 290.0 285.0 280.0 275.0 282.6 281.8 282.2 281.6 281.9 280.9 280.4 280.5 280.6 281.0 280.9 281.3 279.4 279.5 279.3 279.9 279.9 280.2 279.9 279.9 279.3 279.4 278.8 279.1 278.5 278.6 278.1 278.6 277.4 277.5 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure 7: Factory SAR G2 Semi, Muzzle velocity per shot (Stock) PAGE 12

305.0 RAP4/MCS DMR SHOT COUNT VS MUZZLE 308.1 VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) VELOCIT Y SPREAD (FPS) 295.0 285.0 275.0 276.4 290.6 289.9 281.9 286.6 286.2 283.2 285.8 281.9 276.9 292.8 291.7 282.9 278.4 278.3 275.7 289.9 289.7 287.6 284.9 276.6 275.5 270.9 269.0 269.0 265.0 266.6 255.0 262.2 260.9 258.6 RAP4/ MCS DMR-.688 16 INCH HH BARREL, 30 SHOT FPS 0 5 10 15 20 25 30 Figure 8: MCS/ RAP4 DMR, Muzzle velocity per shot (0.686 SP barrel) PAGE 13

Summary Report for - SAR12 G2 Semi Anderson-Darling Normality Test A-Squared 0.15 P-Value 0.958 280.00 StDev 1.35 Variance 1.83 Skewness 0.041211 Kurtosis -0.573288 N 30 278 279 280 281 282 Minimum 277.43 1st Quartile 279.06 Median 279.93 3rd Quartile 280.96 Maximum 282.63 95% Confidence Interval for 279.49 280.51 95% Confidence Interval for Median 279.36 280.61 95% Confidence Interval for StDev 1.08 1.82 95% Confidence Intervals Median 279.50 279.75 280.00 280.25 280.50 280.75 Figure 9: Graphical summary of SAR G2 Semi Automatic (Stock) PAGE 14

Summary Report for - RAP4 DMR Anderson-Darling Normality Test A-Squared 0.35 P-Value 0.461 280.00 StDev 10.88 Variance 118.48 Skewness -0.006745 Kurtosis 0.378661 N 30 260 270 280 290 300 310 Minimum 258.31 1st Quartile 274.06 Median 281.61 3rd Quartile 287.83 Maximum 307.81 95% Confidence Interval for 275.94 284.06 95% Confidence Interval for Median 276.16 285.82 95% Confidence Interval for StDev 8.67 14.63 95% Confidence Intervals Median 275.0 277.5 280.0 282.5 285.0 Figure 10: Graphical summary of Rap4 MCS DMR (0.686 SP barrel PAGE 15

8.0 6.0 SASS G2 THEORETICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MARKER MUZZLE VELOCITY) VERTICAL SPREAD (INCH) 4.0 2.0 0.0-2.0-4.0 50% OF ALL 75% OF ALL SHOTS LAND 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -6.0-8.0 Figure 11: Factory SAR G2 Semi, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 16

40.0 30.0 MCS/ RAP4 DMR THEORETICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MARKER MUZZLE VELOCITY) 20.0 VERTICAL SPREAD (INCH) 10.0 0.0-10.0-20.0-30.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -40.0-50.0-60.0 Figure 12: MCS/ RAP4 DMR, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 17

30.0 20.0 THEORETICAL VERTICAL IMPACT POINTS @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MARKER PERFORMANCE) (DERIVED FROM EXTERNAL BALLISTIC FORMULA) VERTICAL SPREAD (INCH) 10.0 0.0-10.0-20.0-30.0-40.0 SAR12 G2 SEMI, 12.6 INCH MAX SPREAD SAR12 BOLT ACTION, 16.0 INCH MAX SPREAD SSR HPA, 24.4 INCH MAX SPREAD DYE DAM, 23.4 INCH MAX SPREAD TGR R1, 28.6 INCH MAX SPREAD MILSIG M17, 33 INCH MAX SPREAD HAMMER 7, 40.9 INCH MAX SPREAD SSR CO2, 45 INCH MAX SPREAD FIRST STRIKE T15, 86.4 INCH MAX SPREAD MCS DMR, 120 INCH MAX SPREAD Figure 13: Vertical Shot Displacement at 100 yards, all markers, ideal conditions. PAGE 18

MUZZLE VELOCITY FPS VARIATION PROBABILITY: Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform SAR 12 G2 Semi 1 68.2% 1.35 280 279 281-3.3 3.3 6.6 Stock 2 95.4% 2.71 280 277 283-6.7 6.5 13.1 3 99.6% 8.12 280 272 288-20.6 18.8 39.4 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform SAR 12 Bolt Action 1 68.2% 1.36 280 279 281-3.3 3.3 6.6 Stock 2 95.4% 2.71 280 277 283-6.7 6.5 13.2 3 99.6% 8.14 280 272 288-20.7 18.9 39.5 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform CCM SSR - HPA 1 68.2% 2.23 280 278 282-5.5 5.3 10.8 Lapco 0.683 2 95.4% 4.46 280 276 284-11.1 10.5 21.6 3 99.6% 13.38 280 267 293-35.1 30.1 65.2 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform Dye Dam 1 68.2% 2.80 280 277 283-6.9 6.7 13.6 Stock 2 95.4% 5.60 280 274 286-14.0 13.1 27.2 3 99.6% 16.81 280 263 297-45.0 37.2 82.2 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform Maxtact TGR R1 1 68.2% 3.18 280 277 283-7.8 7.6 15.4 Stock 2 95.4% 6.35 280 274 286-16.0 14.8 30.8 3 99.6% 19.06 280 261 299-51.7 41.7 93.4 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform Milsig M17 1 68.2% 3.46 280 277 283-8.5 8.2 16.8 2 95.4% 6.92 280 273 287-17.4 16.1 33.6 3 99.6% 20.76 280 259 301-56.9 45.0 102.0 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform Hammer 7 1 68.2% 3.68 280 276 284-9.1 8.7 17.8 Stock 2 95.4% 7.37 280 273 287-18.6 17.1 35.7 3 99.6% 22.10 280 258 302-61.1 47.6 108.8 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform CCM SSR - CO2 1 68.2% 5.09 280 275 285-12.7 12.0 24.7 Lapco 0.683 2 95.4% 10.18 280 270 290-26.2 23.3 49.5 3 99.6% 30.54 280 249 311-89.1 63.4 152.5 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform First Strike T15 1 68.2% 7.84 280 272 288-19.9 18.2 38.1 Lapco 0.683 2 95.4% 15.69 280 264 296-41.7 34.9 76.6 3 99.6% 47.06 280 233 327-152.9 91.8 244.6 Standard Deviations % of data falling into range of StDev Standard Deviation Lower Higher velocity Low Impact point High Impact point Expected shot spread Platform RAP4 DMR 1 68.2% 10.70 280 269 291-27.6 24.4 52.0 2 95.4% 21.40 280 259 301-58.9 46.3 105.2 3 99.6% 64.21 280 216 344-233.6 119.8 353.4 Table 3: Probability of muzzle velocity and impact point PAGE 19

CONCLUSIONS: Upon evaluating the data, we can conclude that 1. variation is important when trying to predict where the round will end up down range. If the target is a mask (10 ), a shooter needs to know where to aim to hit it, especially if the target is partially hidden behind a tree or in a window. Sometimes one or two shots is all a player has to make a hit. If a marker cannot perform with consistent velocity (small variation), the chances are high that the round will miss the target. An important note here is that we also know as paintball players that velocity consistency is not the only indicator of shot accuracy or repeatability on a target. For example, a marker with a 1 barrel could provide a shot string with a tight fps variation, but expected performance downrange 100 yards, would be questionable. The point is, we found that a marker must start with velocity consistency to have a chance of being repeatable on target down range; HOWEVER, there are many other variables come into repeatable flight paths. 2. The design of the G2 semi auto has exceeded expectation for repeatability performance 3. Properly matched systems (reg, valve train, barrel, projectile) give the greatest consistency in terms of absolute velocity deviation. 4. With the high end markers taking many variables out of the equation for the consumer, the projectile itself becomes the limiting factor. Round to round deviations, both dimensionally and in weight, create a significant portion of fps variation. For example, after sorting the rounds by weight, Beta Member Matt was able to reduce the Dye Dam's +/- 2.80 fps down to +/- 1.91 fps! This process if very tedious, and as shown, limits a players quantity of a specific weight. Within one box, the weight can very as shown in Figure 1 in the appendix. Case in point is the CCM SR1. This marker was tested with CO2 and HPA with both out of the box first strike rounds, and Matched weight first strike rounds. The resulting standard deviation was noticeable. The SSR (HPA) with matched weight First strike rounds saw the standard deviation drop from +-2.23fps to +- 1.52 fps. See figures A-2 and A-3 in the Appendix. 5. As players and manufacturers, we must be very cautious of how we perceive and discuss particular equipment and there capabilities. As discussed in the introduction, shooting a three shot string across a radar chrono will not give you either sufficient or accurate data to formulate any conclusion. Radar based chronographs are capable of holding +/- 3% deviation. At 300 fps, 3% equates to a possible deviation up to +/- 9 fps. Optical chronographs; however, typically are accurate to sub 1%. This yields a measuring capability at 300 fps to be +/-3 fps max. 6. As players and manufacturers, there are many other variables that need to be evaluated, along with velocity consistency, to truly understand the real world expectation of a marker s shot to shot performance on a target at 100 yards. As a group, we plan on continuing to scientifically identify, study, and quantify the other variables when shooting fluid filled projectiles at long distances! PAGE 20

APPENDIX: Figure A-1: Weight Distribution of FS rounds PAGE 21

Summary Report for - CSM SSR HPA Matched weight FS rounds Anderson-Darling Normality Test A-Squared 0.44 P-Value 0.276 280.00 StDev 1.52 Variance 2.32 Skewness 0.016607 Kurtosis -0.354265 N 30 277 278 279 280 281 282 283 Minimum 277.01 1st Quartile 278.96 Median 279.61 3rd Quartile 281.23 Maximum 283.41 95% Confidence Interval for 279.43 280.57 95% Confidence Interval for Median 279.25 281.08 95% Confidence Interval for StDev 1.21 2.05 95% Confidence Intervals Median 279.0 279.5 280.0 280.5 281.0 Figure A-2: CCM SSR with HPA and weight matched First Strike rounds PAGE 22

285.0 - SR1 HPA, - CSM SSR HPA matched FSR 282.5 Data 280.0 277.5 275.0 - SR1 HPA - CSM SSR HPA matched FSR Figure A-3: CCM SSR HPA with and without weight matched First Strike rounds PAGE 23

300.0 SAR G2 SEMI SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 VELOCITY SPREAD (FPS) 290.0 285.0 280.0 275.0 282.6 281.8 282.2 281.6 281.9 280.9 280.4 280.5 280.6 281.0 280.9 281.3 279.4 279.5 279.3 279.9 279.9 280.2 279.9 279.9 279.3 279.4 278.8 279.1 278.5 278.6 278.1 278.6 277.4 277.5 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-4: Factory SAR G2 Semi, Muzzle velocity per shot (Stock) PAGE 24

300.0 295.0 SAR12C BOLT ACTION SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 290.0 VELOCITY SPREAD (FPS) 285.0 280.0 275.0 281.0 280.7 279.8 281.0 283.0 279.9 281.2 283.1 281.0 280.2 279.9 279.3 277.0 279.2 281.0 280.3 281.0 279.1 280.7 278.9 278.9 277.1 280.1 280.3 280.2 279.7 280.4 279.5 278.4 278.5 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-5: Factory SAR Bolt Action, Muzzle velocity per shot (Stock) PAGE 25

300.0 CCM SR1-HPA SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 290.0 VELOCITY SPREAD (FPS) 285.0 280.0 275.0 283.9 280.2 284.6 282.0 280.8 280.0 282.4 280.9 281.2 279.4 280.0 280.7 279.8 279.2 279.6 279.8 279.2 274.9 276.8 283.1 282.1 279.4 281.7 281.2 278.6 278.9 278.0 277.3 277.7 275.2 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-6: CCM-HPA, LAPCO.683, Muzzle velocity per shot PAGE 26

300.0 DYE DAM SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 VELOCITY SPREAD (FPS) 290.0 285.0 280.0 275.0 279.5 283.6 279.9 279.1 275.7 283.3 278.1 283.9 283.3 275.2 280.8 279.6 274.5 276.1 280.3 282.6 276.8 284.1 278.4 277.2 279.7 283.3 278.4 281.5 280.8 283.8 277.9 279.5 281.8 281.3 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-7: Factory Dye Dam, Muzzle velocity per shot (Lapco 0.683 Barrel) PAGE 27

300.0 TGR R1 SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 VELOCITY SPREAD (FPS) 290.0 285.0 280.0 275.0 274.2 280.9 278.1 280.5 283.3 281.3 281.9 280.3 281.0 278.1 274.8 278.0 276.8 281.5 278.0 277.8 281.2 281.4 280.3 276.0 275.4 285.5 279.6 278.5 276.7 283.4 286.0 283.8 285.9 280.0 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-8: Factory Maxtact TGR R1, Muzzle velocity per shot (Stock) PAGE 28

300.0 MILSIG M17 SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 VELOCITY SPREAD (FPS) 290.0 285.0 280.0 275.0 279.5 283.6 279.9 279.1 275.7 283.3 278.1 283.9 283.3 275.2 280.8 279.6 274.5 276.1 280.3 282.6 276.8 284.1 278.4 277.2 279.7 283.3 278.4 281.5 280.8 283.8 277.9 279.5 281.8 281.3 270.0 265.0 260.0 0 5 10 15 20 25 30 Figure A-9: Factory Milsig M17, Muzzle velocity per shot (Stock) PAGE 29

300.0 HAMMER 7 SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 290.0 VELOCITY SPREAD (FPS) 285.0 280.0 275.0 283.6 283.1 281.8 281.5 282.1 281.5 281.9 281.1 281.4 279.8 279.0 276.8 281.1 277.1 278.8 283.3 282.6 280.2 282.1 282.0 277.9 276.9 275.1 284.7 283.5 282.5 280.3 280.2 270.0 269.7 268.5 265.0 260.0 0 5 10 15 20 25 30 Figure A-10: Factory Hammer 7, Muzzle velocity per shot (Stock) PAGE 30

300.0 CCM SR1-CO2 SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 295.0 290.0 VELOCITY SPREAD (FPS) 285.0 280.0 275.0 270.0 283.2 282.1 282.4 281.8 282.2 281.4 281.4 280.9 281.0 280.1 280.3 279.8 279.7 279.5 280.3 281.5 279.8 279.4 274.7 271.8 271.3 270.1 288.5 284.1 283.2 282.4 281.2 280.3 278.0 276.4 265.0 260.0 0 5 10 15 20 25 30 Figure A-11: Factory CCM SR1 with CO2, (CARTRIGE REPLACED EVERY 12 SHOTS) (Lapco 0.683 Barrel) PAGE 31

305.0 300.0 TIBERIUS T15 SHOT COUNT VS MUZZLE VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) 299.4 295.0 VELOCITY SPREAD (FPS) 290.0 285.0 280.0 275.0 285.0 283.4 285.5 279.8 287.6 282.3 279.7 276.6 284.5 283.4 286.7 288.9 287.2 284.2 284.0 283.4 283.6 280.1 287.9 274.5 274.0 277.7 270.0 271.2 269.2 271.0 269.8 269.5 267.1 265.0 263.5 260.0 0 5 10 15 20 25 30 Figure A-12: First Strike T15, Muzzle velocity per shot (Lapco 0.683 Barrel) PAGE 32

305.0 RAP4/MCS DMR SHOT COUNT VS MUZZLE 308.1 VELOCITY (30 CONSECUTIVE SHOT SAMPLE SIZE) VELOCITY SPREAD (FPS) 295.0 285.0 275.0 276.4 290.6 289.9 281.9 286.6 286.2 283.2 285.8 281.9 276.9 292.8 291.7 282.9 278.4 278.3 275.7 289.9 289.7 287.6 284.9 276.6 275.5 270.9 269.0 269.0 265.0 266.6 262.2 258.6 260.9 255.0 0 5 10 15 20 25 30 Figure A-13: MCS/ RAP4 DMR, Muzzle velocity per shot (Stock) PAGE 33

Summary Report for - SAR12 G2 Semi Anderson-Darling Normality Test A-Squared 0.15 P-Value 0.958 280.00 StDev 1.35 Variance 1.83 Skewness 0.041211 Kurtosis -0.573288 N 30 278 279 280 281 282 Minimum 277.43 1st Quartile 279.06 Median 279.93 3rd Quartile 280.96 Maximum 282.63 95% Confidence Interval for 279.49 280.51 95% Confidence Interval for Median 279.36 280.61 95% Confidence Interval for StDev 1.08 1.82 95% Confidence Intervals Median 279.50 279.75 280.00 280.25 280.50 280.75 Figure A-14: Graphical summary of SAR G2 Semi-Automatic (Stock) PAGE 34

Summary Report for - SAR12 Bolt Act Anderson-Darling Normality Test A-Squared 0.50 P-Value 0.193 280.00 StDev 1.36 Variance 1.84 Skewness -0.01574 Kurtosis 1.01824 N 30 277 278 279 280 281 282 283 Minimum 276.99 1st Quartile 279.16 Median 280.14 3rd Quartile 280.99 Maximum 283.09 95% Confidence Interval for 279.49 280.51 95% Confidence Interval for Median 279.53 280.62 95% Confidence Interval for StDev 1.08 1.82 95% Confidence Intervals Median 279.50 279.75 280.00 280.25 280.50 280.75 Figure A-15: Graphical summary of SAR Bolt Action (Stock) PAGE 35

Summary Report for - Dye Dam Anderson-Darling Normality Test A-Squared 0.34 P-Value 0.473 280.00 StDev 2.80 Variance 7.85 Skewness -0.223044 Kurtosis -0.892347 N 30 276 278 280 282 284 Minimum 274.50 1st Quartile 278.07 Median 279.82 3rd Quartile 282.78 Maximum 284.10 95% Confidence Interval for 278.95 281.05 95% Confidence Interval for Median 278.55 281.45 95% Confidence Interval for StDev 2.23 3.77 95% Confidence Intervals Median 278.5 279.0 279.5 280.0 280.5 281.0 281.5 Figure A-16: Graphical summary of Dye Dam (Lapco 0.683 Barrel) PAGE 36

Summary Report for - SR1 HPA Anderson-Darling Normality Test A-Squared 0.22 P-Value 0.829 280.00 StDev 2.27 Variance 5.14 Skewness -0.231635 Kurtosis 0.279129 N 30 276 278 280 282 284 Minimum 274.95 1st Quartile 278.87 Median 279.95 3rd Quartile 281.37 Maximum 284.65 95% Confidence Interval for 279.15 280.85 95% Confidence Interval for Median 279.29 280.92 95% Confidence Interval for StDev 1.81 3.05 95% Confidence Intervals Median 279.0 279.5 280.0 280.5 281.0 Figure A-17: Graphical summary of CCM SSR with HPA (Lapco 0.683 Barrel) PAGE 37

Summary Report for - Maxtact TGR R1 Anderson-Darling Normality Test A-Squared 0.26 P-Value 0.696 283.21 StDev 3.18 Variance 10.09 Skewness 0.139803 Kurtosis -0.509493 N 30 278 280 282 284 286 288 290 Minimum 277.40 1st Quartile 281.15 Median 283.50 3rd Quartile 284.80 Maximum 289.20 95% Confidence Interval for 282.02 284.39 95% Confidence Interval for Median 281.30 284.48 95% Confidence Interval for StDev 2.53 4.27 95% Confidence Intervals Median 281.5 282.0 282.5 283.0 283.5 284.0 284.5 Figure A-18: Graphical summary of Maxtact TGR R1 (Stock) PAGE 38

Summary Report for - Milsig M17 Anderson-Darling Normality Test A-Squared 0.19 P-Value 0.888 280.00 StDev 3.46 Variance 11.97 Skewness 0.170941 Kurtosis -0.255931 N 30 276 280 284 288 Minimum 273.64 1st Quartile 277.89 Median 279.84 3rd Quartile 282.16 Maximum 287.34 95% Confidence Interval for 278.71 281.29 95% Confidence Interval for Median 278.71 281.17 95% Confidence Interval for StDev 2.76 4.65 95% Confidence Intervals Median 279.0 279.5 280.0 280.5 281.0 281.5 Figure A-19: Graphical summary of Milsig M17 (Stock) PAGE 39

Summary Report for - Hammer 7 Anderson-Darling Normality Test A-Squared 1.63 P-Value <0.005 280.00 StDev 3.75 Variance 14.04 Skewness -1.74994 Kurtosis 3.30401 N 30 268 272 276 280 284 Minimum 268.50 1st Quartile 278.57 Median 281.25 3rd Quartile 282.20 Maximum 284.70 95% Confidence Interval for 278.60 281.40 95% Confidence Interval for Median 279.89 281.97 95% Confidence Interval for StDev 2.98 5.04 95% Confidence Intervals Median 279 280 281 282 Figure A-20: Graphical summary of Hammer 7 (Stock) PAGE 40

Summary Report for - SR1 CO2 Anderson-Darling Normality Test A-Squared 0.68 P-Value 0.067 280.00 StDev 5.18 Variance 26.80 Skewness -0.963197 Kurtosis 0.808646 N 30 265 270 275 280 285 Minimum 265.72 1st Quartile 276.14 Median 281.02 3rd Quartile 283.44 Maximum 287.02 95% Confidence Interval for 278.07 281.93 95% Confidence Interval for Median 279.25 282.67 95% Confidence Interval for StDev 4.12 6.96 95% Confidence Intervals Median 278 279 280 281 282 283 Figure A-21: Graphical summary of CCM SSR with CO2 (Lapco 0.683 Barrel) PAGE 41

Summary Report for - FS T15 Anderson-Darling Normality Test A-Squared 0.67 P-Value 0.071 280.00 StDev 7.98 Variance 63.65 Skewness -0.129600 Kurtosis -0.023651 N 30 270 280 290 300 Minimum 263.48 1st Quartile 273.28 Median 282.83 3rd Quartile 285.10 Maximum 299.38 95% Confidence Interval for 277.02 282.98 95% Confidence Interval for Median 276.83 284.13 95% Confidence Interval for StDev 6.35 10.72 95% Confidence Intervals Median 276 278 280 282 284 Figure A-22: Graphical summary of First Strike T15 (Lapco 0.683 Barrel) PAGE 42

Summary Report for - RAP4 DMR Anderson-Darling Normality Test A-Squared 0.35 P-Value 0.461 280.00 StDev 10.88 Variance 118.48 Skewness -0.006745 Kurtosis 0.378661 N 30 260 270 280 290 300 310 Minimum 258.31 1st Quartile 274.06 Median 281.61 3rd Quartile 287.83 Maximum 307.81 95% Confidence Interval for 275.94 284.06 95% Confidence Interval for Median 276.16 285.82 95% Confidence Interval for StDev 8.67 14.63 95% Confidence Intervals Median 275.0 277.5 280.0 282.5 285.0 Figure A-23: Graphical summary of MCS/ RAP4 DMR (Stock) PAGE 43

8.0 6.0 SASS G2 THEORETICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MARKER MUZZLE VELOCITY) VERTICAL SPREAD (INCH) 4.0 2.0 0.0-2.0-4.0 50% OF ALL 75% OF ALL SHOTS LAND 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -6.0-8.0 Figure A-24: Factory SAR G2 Semi, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 44

9 7 SAR12C BOLT ACTION VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 5 VERTICAL SPREAD (INCH) 3 1-1 -3-5 50% OF 75% OF ALL 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -7-9 Figure A-25: Factory SAR Bolt Action, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 45

9.0 SR1-HPA VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 7.0 5.0 VERTICAL SPREAD (INCH) 3.0 1.0-1.0-3.0-5.0 50% OF 75% OF ALL 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -7.0-9.0 Figure A-26: Factory CCM SSR with HPA, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 46

16.0 14.0 DYE DAM VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 12.0 10.0 VERTICAL SPREAD (INCH) 8.0 6.0 4.0 2.0 0.0-2.0-4.0-6.0-8.0 50% OF ALL 75% OF ALL SHOTS LAND 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -10.0-12.0-14.0-16.0 Figure A-27: Factory Dye Dam, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 47

18.0 16.0 TGR1 R1 VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 14.0 12.0 10.0 VERTICAL SPREAD (INCH) 8.0 6.0 4.0 2.0 0.0-2.0-4.0-6.0-8.0-10.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -12.0-14.0-16.0 TGR-R1, 29 INCH MAX SPREAD -18.0 Figure A-28: Factory Maxtact TGR R1, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 48

20.0 MILSIG M17 VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 15.0 VERTICAL SPREAD (INCH) 10.0 5.0 0.0-5.0-10.0 50% OF 75% OF ALL SHOTS LAND 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -15.0 MILSIG M17, 33.0 INCH MAX SPREAD -20.0 Figure A-29: Factory Milsig M17, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 49

28.0 HAMMER 7 VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 23.0 18.0 VERTICAL SPREAD (INCH) 13.0 8.0 3.0-2.0-7.0-12.0-17.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -22.0-27.0-32.0 Figure A-30: Factory Hammer 7, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 50

28.0 CCM SR1-CO2 VERTICAL SHOT PLACEMENT 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 23.0 18.0 VERTICAL SPREAD (INCH) 13.0 8.0 3.0-2.0-7.0-12.0-17.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -22.0-27.0-32.0 Figure A-31: Factory CCM SR1 with CO2- Lapco.683, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 51

NOTE: Y AXIS SCALE DIFFERENT FROM FIRST EIGHT (8) TO SHOW ALL DATA POINTS 50.0 40.0 TIB/ FS T15 VERTICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 30.0 VERTICAL SPREAD (INCH) 20.0 10.0 0.0-10.0-20.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -30.0-40.0-50.0 Figure A-32: First Strike T15- Lapco.683, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 52

NOTE: Y AXIS SCALE DIFFERENT FROM FIRST EIGHT (8) TO SHOW ALL DATA POINTS 40.0 30.0 MCS/ RAP4 DMR THEORETICAL SHOT PLACEMENT @ 100 YRDS (30 CONSECUTIVE SHOT SAMPLE SIZE, ALL VARIABLES REMOVED EXCEPT MUZZLE VELOCITY) 20.0 VERTICAL SPREAD (INCH) 10.0 0.0-10.0-20.0-30.0 50% OF ALL 75% OF ALL SHOTS 99.7% OF ALL SHOTS LAND HERE PROBABILITY SPREAD (%) -40.0-50.0-60.0 Figure A-33: MCS/ RAP4 DMR, Ideal conditions Shot Displacement at 100 yards, based on Muzzle PAGE 53