  The possible formation of stellar-mass binary black holes through dynamical
interactions in dense stellar environments predicts the existence of binaries
with non-negligible eccentricity in the frequency band of ground-based
gravitational wave detectors; the detection of binary black hole mergers with
measurable orbital eccentricity would validate the existence of this formation
channel. Waveform templates currently used in the matched-filter
gravitational-wave searches of LIGO-Virgo data neglect effects of eccentricity
which is expected to reduce their efficiency to detect eccentric binary black
holes. Meanwhile, the sensitivity of coherent unmodeled gravitational-wave
searches (with minimal assumptions about the signal model) have been shown to
be largely unaffected by the presence of even sizable orbital eccentricity. In
this paper, we compare the performance of two state-of-the-art search
algorithms recently used by LIGO and Virgo to search for binary black holes in
the second Observing Run (O2), quantifying their search sensitivity by
injecting numerical-relativity simulations of inspiral-merger-ringdown
eccentric waveforms into O2 LIGO data. Our results show that the matched-filter
search PyCBC performs better than the unmodeled search cWB for the high chirp
mass ($>20 M_{\odot}$) and low eccentricity region ($e_{30 Hz} < 0.3$) of
parameter space. For moderate eccentricities and low chirp mass, on the other
hand, the unmodeled search is more sensitive than the modeled search.
