Fostex x Massdrop TR-X00 Mahogany Review: Ranked #55 of 523

Last updated: October 20, 2026

The Fostex x Massdrop TR-X00 Mahogany ranks #55 out of 523 total Over-Ear Headphones for sound quality. See all Headphones rankings for every top pick.

Brand: Fostex

Prices on this page were last checked October 20, 2026 at 10:35 PM UTC. Product prices and availability are accurate as of that date/time and are subject to change; the price and availability shown on Amazon at the time of purchase will apply to the purchase of this product.

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Fostex x Massdrop TR-X00 Mahogany - ranked #55 of 523 Over-Ear Headphones · Editor's rating 4.3/5

#55 Fostex x Massdrop TR-X00 Mahogany: $400 eBay

Pros: A closed back over-ear with mahogany cups and a high preference score of 87. Bass reaches 20 Hz close to target, and the midrange stays within about 0.6 dB of target.

Cons: Treble is uneven, with a deep 9.9 dB dip near 8.4 kHz beside peaks near 5.6 kHz and 10.6 kHz, and presence sits 2.3 dB low. It is sold out after listing at $400, impedance and weight are not published, and the score rests on a single measurement.

Is the Fostex x Massdrop TR-X00 Mahogany right for you?

Buy it if

  • you want the tuning most listeners prefer in blind tests out of the box (Harman score 87).
  • you are sensitive to bright or sharp treble (treble sits 2.3 dB below target).
Released2018 (8 years ago)
BackClosed
ConnectionWired
Deviation From Target1.98 dB standard deviation
Driver TypeDynamic
Drivers1 x 50mm dynamic
Form FactorOver-ear
Harman Preference Score87 (1 squig.link measurement, calibrated to AutoEQ)
Sub-bass ExtensionWithin 6 dB of target down to 20 Hz (-1.1 dB at 30 Hz)
Tonal Tilt-0.24 (negative is warmer, positive brighter)

EQ Presets

Harman target

Set a preamp of -4.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 94 out of 100, up from 87.

FilterFrequencyGainQ
Low shelf105 Hz+1.6 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak371 Hz+1.7 dB2.24
Peak726 Hz-1.8 dB6.00
Peak2,726 Hz+2.4 dB6.00
Peak3,654 Hz+4.8 dB1.70
Peak5,480 Hz-4.5 dB6.00
Peak7,514 Hz+2.0 dB2.83

Neutral target

Set a preamp of -4.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 92 out of 100, up from 66.

FilterFrequencyGainQ
Low shelf105 Hz-4.1 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak371 Hz+1.8 dB2.28
Peak726 Hz-1.8 dB6.00
Peak2,726 Hz+2.4 dB6.00
Peak3,654 Hz+4.8 dB1.70
Peak5,480 Hz-4.5 dB6.00
Peak7,514 Hz+2.0 dB2.83

Studio flat target

Set a preamp of -6.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 88 out of 100, up from 35.

FilterFrequencyGainQ
Low shelf105 Hz-6.0 dB0.70
High shelf10,000 Hz+0.9 dB0.70
Peak26 Hz-0.9 dB2.11
Peak157 Hz-1.6 dB1.60
Peak660 Hz-1.2 dB0.40
Peak1,932 Hz+2.1 dB3.19
Peak2,843 Hz+6.0 dB1.30
Peak4,016 Hz+3.5 dB6.00
Peak5,559 Hz-4.6 dB6.00
Peak7,357 Hz+1.9 dB5.61

Warm target

Set a preamp of -3.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 97 out of 100, up from 85.

FilterFrequencyGainQ
Low shelf105 Hz+1.8 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak3,148 Hz+3.1 dB1.47
Peak5,595 Hz-5.3 dB6.00
Peak7,662 Hz+2.0 dB6.00

Bass target

Set a preamp of -5.5 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 94 out of 100, up from 81.

FilterFrequencyGainQ
Low shelf105 Hz+5.4 dB0.70
High shelf10,000 Hz-6.0 dB0.70
Peak371 Hz+1.7 dB2.21
Peak726 Hz-1.9 dB6.00
Peak2,726 Hz+2.4 dB6.00
Peak3,654 Hz+4.8 dB1.70
Peak5,481 Hz-4.5 dB6.00
Peak7,514 Hz+2.0 dB2.84

Bright target

Set a preamp of -5.8 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 84 out of 100, up from 48.

FilterFrequencyGainQ
Low shelf105 Hz-4.2 dB0.70
High shelf10,000 Hz-2.3 dB0.70
Peak371 Hz+1.7 dB2.43
Peak727 Hz-2.1 dB6.00
Peak1,036 Hz-1.2 dB4.63
Peak2,760 Hz+2.2 dB6.00
Peak3,893 Hz+5.7 dB1.20
Peak5,451 Hz-3.2 dB6.00
Peak8,000 Hz+1.6 dB2.91

V-shaped target

Set a preamp of -6.2 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from a single measurement from squig.link, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 75 out of 100, up from 73.

FilterFrequencyGainQ
Low shelf105 Hz+6.0 dB0.70
High shelf10,000 Hz-0.8 dB0.70
Peak101 Hz+1.0 dB0.89
Peak329 Hz+2.6 dB1.46
Peak831 Hz-1.8 dB1.94
Peak2,684 Hz+1.8 dB3.22
Peak3,893 Hz+5.9 dB1.07
Peak5,454 Hz-2.9 dB6.00

Frequency Response

How the Fostex x Massdrop TR-X00 Mahogany measures across the audible range, against the Harman over-ear target that most listeners prefer in blind tests. Where the line sits above the target that range sounds louder (more bass, brighter treble), below it quieter. The curve is a single measurement, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.

Fostex x Massdrop TR-X00 MahoganyHarman target
Measured frequency response of the Fostex x Massdrop TR-X00 Mahogany-24-18-12-60+6+12+18dB20501002005001k2k5k10k20k

Measurement data: a single measurement from the squig.link database of sai. Thanks to them for publishing their work.

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