The SIMGOT EW100 ranks #113 out of 1253 total In-Ear Headphones for sound quality. See all Headphones rankings for every top pick.
Brand: Simgot
Prices on this page were last checked October 16, 2026 at 5:46 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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#113 SIMGOT EW100: $19.99 Discontinued eBay
Pros: A broadly balanced tuning with a preference score of 80 against the Harman target.
Cons: The rating reflects sound quality only; comfort, build and noise isolation are not part of the score. Discontinued.
Is the SIMGOT EW100 right for you?
Buy it if
- you want the tuning most listeners prefer in blind tests out of the box (Harman score 80).
- your taste runs warm: it scores 86 for that sound.
- you want sub-bass rumble that reaches down to 20 Hz.
Skip it if
- you want to buy it new: it is discontinued.
| Back | Closed |
|---|---|
| Connection | Wired |
| Deviation From Target | 1.49 dB standard deviation |
| Driver Type | Dynamic |
| Drivers | 1 x 10mm dynamic |
| Form Factor | In-ear |
| Harman Preference Score | 80 (median of 5 squig.link measurements, calibrated to AutoEQ) |
| Sub-bass Extension | Within 6 dB of target down to 20 Hz (-1.8 dB at 30 Hz) |
| Tonal Tilt | -0.26 (negative is warmer, positive brighter) |
EQ Presets
Harman target
Set a preamp of -2.6 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Harman match with this EQ: 90 out of 100, up from 80.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +0.9 dB | 0.70 |
| High shelf | 10,000 Hz | -4.7 dB | 0.70 |
| Peak | 23 Hz | +1.8 dB | 1.76 |
| Peak | 124 Hz | -2.8 dB | 0.80 |
| Peak | 303 Hz | -0.8 dB | 2.69 |
| Peak | 1,354 Hz | -0.9 dB | 4.14 |
| Peak | 6,693 Hz | +2.0 dB | 0.48 |
Neutral target
Set a preamp of -1.7 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Neutral match with this EQ: 92 out of 100, up from 46.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.6 dB | 0.70 |
| High shelf | 10,000 Hz | -4.7 dB | 0.70 |
| Peak | 23 Hz | +1.4 dB | 2.68 |
| Peak | 124 Hz | -2.9 dB | 0.69 |
| Peak | 1,363 Hz | -0.9 dB | 4.34 |
| Peak | 6,702 Hz | +2.0 dB | 0.47 |
Studio flat target
Set a preamp of -4.1 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Studio flat match with this EQ: 90 out of 100, up from 26.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -10.2 dB | 0.70 |
| High shelf | 10,000 Hz | +0.6 dB | 0.70 |
| Peak | 153 Hz | -4.4 dB | 0.68 |
| Peak | 2,661 Hz | +4.0 dB | 1.78 |
| Peak | 7,314 Hz | +2.0 dB | 3.98 |
Warm target
Set a preamp of -2.9 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Warm match with this EQ: 92 out of 100, up from 86.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +1.1 dB | 0.70 |
| High shelf | 10,000 Hz | -6.0 dB | 0.70 |
| Peak | 23 Hz | +1.8 dB | 1.89 |
| Peak | 124 Hz | -2.6 dB | 0.86 |
Bass 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 the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bass match with this EQ: 92 out of 100, up from 73.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +4.6 dB | 0.70 |
| High shelf | 10,000 Hz | -4.7 dB | 0.70 |
| Peak | 23 Hz | +1.6 dB | 1.21 |
| Peak | 124 Hz | -2.7 dB | 0.87 |
| Peak | 297 Hz | -0.9 dB | 2.14 |
| Peak | 1,358 Hz | -0.9 dB | 4.36 |
| Peak | 6,692 Hz | +2.0 dB | 0.49 |
Bright target
Set a preamp of -4.4 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted Bright match with this EQ: 86 out of 100, up from 34.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | -7.7 dB | 0.70 |
| High shelf | 10,000 Hz | -1.7 dB | 0.70 |
| Peak | 124 Hz | -2.9 dB | 0.67 |
| Peak | 5,345 Hz | +4.4 dB | 0.97 |
V-shaped target
Set a preamp of -6.3 dB, then add these filters in any parametric equalizer (Wavelet, Equalizer APO, Peace, or a player with parametric EQ). Calculated by Speaker Ranking from the median of 5 squig.link measurements, in the filter layout AutoEQ uses. Predicted V-shaped match with this EQ: 82 out of 100, up from 69.
| Filter | Frequency | Gain | Q |
|---|---|---|---|
| Low shelf | 105 Hz | +5.1 dB | 0.70 |
| High shelf | 10,000 Hz | -0.6 dB | 0.70 |
| Peak | 28 Hz | +1.2 dB | 1.59 |
| Peak | 117 Hz | -1.8 dB | 1.30 |
| Peak | 1,234 Hz | -1.2 dB | 3.57 |
| Peak | 2,424 Hz | +1.1 dB | 2.66 |
| Peak | 5,345 Hz | +4.8 dB | 0.86 |
| Peak | 6,916 Hz | -2.0 dB | 6.00 |
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Frequency Response
How the SIMGOT EW100 measures across the audible range, against the Harman in-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 the median of 5 independent measurements, so one odd sample or rig cannot skew it, and both lines are shifted so their 500 Hz to 2 kHz average sits at 0 dB.
Measurement data: median of 5 measurements from the squig.link databases of gadgetrytech, hbb, hu-fi, ianfann and kazi. Thanks to each of them for publishing their work.