High-potential students from underresourced rural schools face barriers that reduce options for academic advancement, which widens the excellence gap between them and their more affluent, but similar ability peers. The goal of this study was to investigate the effectiveness of an expanded above-level testing model to identify high-potential rural students for an extracurricular math and science enrichment program. Results from our analyses indicated that a more inclusive talent pool differentiated among high achievers to find greater percentages (13%) of talented students compared with most gifted programs (3% to 5%) or Talent Search programs (5%). Overall, students' math and science scores were related to a 75% and 50%, respectively, greater odds in being identified for the extracurricular program. Regardless of program participation, all talent pool students increased their math and science achievement; however, there were some significant gender differences.