State Adjustment Factor

Calculated using KBF catch data January 2015–March 2017

What is SAF?

Bass attain different average lengths in various locals. Forage, fertility, daylight hours, current, cover, dissolved oxygen content, pollutants, competition, climate, water conditions, genetics; these factors combine to determine the size of bass one is apt to catch wherever he fishes.

One would expect to catch bigger bass on Lake Chickamauga or Toledo Bend than on Lake Kabetogama in Minnesota or Hopatcong in New Jersey. How can bass anglers in regions or states where bass run smaller hope to compete with their peers fishing famous big bass factories?

KBF pulled the bass length data from previous tournaments and Challenges and used it to calculate the average size of bass in each of the  states. We then used that to calculate the State Adjustment Factor (SAF) by which one multiplies his catch to see how it stacks up in comparison to other anglers nationwide.

KBF Members Jason Adams and Michael Kroeger improved on KBF’s original SAF methodology. What we have is, admittedly, imperfect, and over time, as more fish are submitted to TourneyX, KBF Member with expertise in this area will attempt to refine this tool.

For national Challenges, KBF takes the raw scores displayed on the TourneyX LOWRANCE Leader Board and multiplies each angler’s total score by the appropriate SAF.

For that reason, where one catches fish is more important that one’s state of residence. If a Tennessean fishes in Mississippi for a weekend Challenge, then his score should be adjusted using the MS-SAF rather than the TN-SAF. Vacationing or roving KBF Members should email KBF Management if they plan to fish an event in a state other than the one listed in their TourneyX profiles.

One more note: Michael Kroeger pointed out that competitors do a disservice to themselves by submitting only their longest bass. By submitting all the fish one catches in competition, so that smaller fish are included, too, the state’s SAF will more accurately reflect the size of fish produced there, and the adjusted scores will better compensate for geographic differences.


State Avg Length # Fish State Adj Factor
AR 14.60 373 1.12
WV 14.63 575 1.11
IN 14.78 93 1.11
LA 15.32 418 1.07
NJ 15.78 56 1.04
KY 15.95 396 1.03
TN 15.97 638 1.03
WA 16.02 24 1.03
NY 16.09 86 1.03
RI 16.18 11 1.02
MO 16.40 122 1.01
AL 16.41 414 1.01
IL 16.44 254 1.00
DE 16.49 19 1.00
ID 16.50 207 1.00
SC 16.56 141 1.00
NE 16.61 62 0.99
CO 16.61 95 0.99
OH 16.66 127 0.99
VA 16.69 344 0.99
MI 16.74 181 0.99
CA 16.76 278 0.99
TX 16.85 715 0.98
PA 16.88 101 0.98
AZ 16.93 64 0.97
UT 16.94 12 0.97
NC 17.00 485 0.97
OK 17.14 35 0.96
WI 17.15 94 0.96
KS 17.16 36 0.96
GA 17.18 566 0.96
MD 17.25 103 0.96
OR 17.37 51 0.95
IA 17.42 85 0.95
MA 17.51 150 0.94
ME 18.16 61 0.90
FL 18.63 363 0.87
MN 18.71 83 0.87
MS 20.13 156 0.78

This data can be normalized and plotted on a bell curve. This data represents verified fish caught from a kayak using KBF rules for measurement. That data doesn’t exist anywhere but here because each and every one of you made it happen.

When sorting the data available through mid-April 2017 (shown above), the Mean was 16.5 and represents the tallest part of the curve. The two extremes are Arkansas (AR) and Mississippie (MS) that represents the tail of the curve. As more fish are submitted the curve moves and a Mean can shift.

So the goal is to find the locations that represent the highest concentration of data points and work out from there. The data shows Idaho as 1.0 modifier. Some states are above a 1.0 modifier and some below. To calculate your SAF-adjusted score, multiply your own score by the factor (modifier) for the state in which you’re competing.

As new data is collected at a quarterly interval through the season the modifiers will adjust accordingly representing normalized modifiers as a comparison per state. The more data you submit the more confidence can be assigned to the local multiplier.