Big Tiddied Goth Moth — CS2 Stats
76561198246954340[U:1:286688612]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 69% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile; lower opening-fight frequency.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 18 | 10–8 | 56% | -0.02 | |
| D | 15 | 5–10 | 33% | -0.01 | |
| B | 15 | 8–7 | 53% | -0.02 | |
| C | 13 | 5–8 | 38% | -0.04 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| office | D | 6 | 2–4 | 33% | -0.02 |
| S | 5 | 4–1 | 80% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.03 | |
| debris | — | 2 | 0–2 | 0% | -0.02 |
| — | 2 | 1–1 | 50% | -0.07 | |
| warden | — | 2 | 0–2 | 0% | -0.02 |
| shelter | — | 1 | 0–1 | 0% | -0.04 |
| poseidon | — | 1 | 0–1 | 0% | -0.23 |
| palacio | — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 57% | 0.71 | 10.6 |
| Ancient | 3 | 33% | 0.81 | 13.3 |
| Nuke | 2 | 0% | 0.69 | 11.0 |
| Dust2 | 2 | 0% | 0.38 | 7.0 |
| Inferno | 2 | 50% | 0.66 | 12.5 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4268 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 23.0819% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.07 | 14% | 15 Aug → | ||
| 3–13 | -0.03 | 10% | 15 Aug → | ||
| 13–5 | 0.00 | 15% | 4 Aug → | ||
| 13–16 | -0.00 | 16% | 4 Aug → | ||
| debris | 8–8 | -0.03 | 12% | 29 Jul → | |
| 8–8 | -0.09 | 13% | 29 Jul → | ||
| 13–3 | 0.00 | 18% | 29 Jul → | ||
| 13–6 | 0.01 | 4% | 29 Jul → | ||
| 13–8 | -0.05 | 17% | 24 Jul → | ||
| shelter | 8–13 | -0.04 | 14% | 14 Jul → | |
| debris | 8–8 | -0.02 | 18% | 14 Jul → | |
| office | 6–13 | -0.09 | 0% | 14 Jul → | |
| 14–16 | -0.01 | 16% | 2 Jul → | ||
| 10–13 | -0.08 | 16% | 1 Jul → | ||
| 13–10 | -0.01 | 10% | 1 Jul → | ||
| 13–11 | -0.04 | 15% | 23 Jun → | ||
| 15–15 | -0.03 | 28% | 22 Jun → | ||
| 7–13 | -0.04 | 17% | 22 Jun → | ||
| 13–8 | -0.03 | 14% | 22 Jun → | ||
| 9–5 | 0.13 | 24% | 19 Jun → | ||
| 15–15 | -0.06 | 15% | 19 Jun → | ||
| 5–13 | -0.05 | 13% | 19 Jun → | ||
| 5–13 | -0.07 | 16% | 10 Jun → | ||
| 7–13 | 0.04 | 22% | 10 Jun → | ||
| warden | 3–13 | -0.04 | 36% | 10 Jun → | |
| 13–10 | -0.09 | 17% | 10 Jun → | ||
| 6–13 | -0.06 | 22% | 10 Jun → | ||
| 13–4 | 0.03 | 39% | 4 Jun → | ||
| 13–9 | -0.01 | 35% | 4 Jun → | ||
| 13–8 | -0.06 | 11% | 3 Jun → | ||
| 13–8 | 0.00 | 10% | 3 Jun → | ||
| 13–3 | -0.01 | 11% | 3 Jun → | ||
| 2–11 | -0.05 | 6% | 3 Jun → | ||
| 13–6 | 0.03 | 18% | 3 Jun → | ||
| 11–13 | -0.06 | 17% | 3 Jun → | ||
| poseidon | 2–9 | -0.23 | 0% | 8 May → | |
| 7–9 | -0.05 | 18% | 7 May → | ||
| 11–13 | -0.03 | 15% | 7 May → | ||
| 11–13 | -0.05 | 20% | 7 May → | ||
| 5–9 | -0.10 | 14% | 5 May → | ||
| 13–3 | 0.02 | 10% | 4 May → | ||
| 8–13 | -0.07 | 24% | 1 Feb → | ||
| office | 5–13 | -0.07 | 31% | 31 Jan → | |
| 7–13 | -0.00 | 11% | 31 Jan → | ||
| 13–10 | 0.02 | 19% | 31 Jan → | ||
| 12–16 | -0.09 | 0% | 30 Jan → | ||
| 2–2 | 0.03 | 0% | 29 Jan → | ||
| 10–13 | -0.06 | 4% | 27 Jan → | ||
| 3–6 | -0.07 | 0% | 27 Jan → | ||
| 13–10 | 0.06 | 8% | 26 Jan → | ||
| 13–9 | 0.03 | 7% | 26 Jan → | ||
| office | 13–11 | 0.01 | 11% | 26 Jan → | |
| 5–13 | -0.09 | 0% | 26 Jan → | ||
| 10–13 | -0.04 | 9% | 25 Jan → | ||
| 13–8 | -0.07 | 12% | 25 Jan → | ||
| warden | 9–13 | 0.01 | 5% | 25 Jan → | |
| office | 12–12 | -0.00 | 16% | 25 Jan → | |
| 3–13 | -0.11 | 5% | 25 Jan → | ||
| 13–10 | -0.03 | 12% | 25 Jan → | ||
| 5–13 | 0.06 | 14% | 25 Jan → | ||
| 7–2 | -0.09 | 22% | 24 Jan → | ||
| 13–5 | 0.03 | 17% | 24 Jan → | ||
| 5–13 | -0.06 | 8% | 24 Jan → | ||
| 8–13 | -0.01 | 13% | 24 Jan → | ||
| 7–13 | -0.02 | 7% | 24 Jan → | ||
| 13–9 | -0.08 | 22% | 24 Jan → | ||
| 13–11 | -0.09 | 0% | 24 Jan → | ||
| 13–11 | -0.08 | 15% | 24 Jan → | ||
| 13–8 | -0.05 | 10% | 23 Jan → | ||
| 15–15 | 0.01 | 10% | 23 Jan → | ||
| 7–13 | -0.04 | 14% | 23 Jan → | ||
| 9–13 | -0.06 | 6% | 23 Jan → | ||
| 13–2 | 0.05 | 15% | 23 Jan → | ||
| 13–5 | 0.06 | 12% | 23 Jan → | ||
| 9–13 | -0.06 | 9% | 21 Jan → | ||
| 13–8 | 0.04 | 11% | 21 Jan → | ||
| 12–2 | 0.06 | 25% | 20 Jan → | ||
| 9–0 | 0.09 | 6% | 20 Jan → | ||
| 13–3 | 0.07 | 16% | 20 Jan → | ||
| palacio | 3–13 | -0.06 | 16% | 20 Jan → | |
| 13–5 | -0.02 | 14% | 20 Jan → | ||
| 6–13 | -0.04 | 7% | 20 Jan → | ||
| 13–7 | 0.03 | 17% | 16 Jan → | ||
| 13–16 | -0.01 | 14% | 11 Jan → | ||
| 13–10 | -0.00 | 17% | 11 Jan → | ||
| 13–8 | -0.04 | 13% | 11 Jan → | ||
| 13–11 | -0.01 | 10% | 11 Jan → | ||
| 13–11 | 0.02 | 12% | 11 Jan → | ||
| 5–13 | -0.00 | 12% | 11 Jan → | ||
| 8–13 | -0.04 | 17% | 11 Jan → | ||
| 4–13 | -0.04 | 10% | 9 Jan → | ||
| 11–13 | -0.03 | 16% | 8 Jan → | ||
| 9–13 | -0.10 | 5% | 8 Jan → | ||
| 13–6 | 0.06 | 12% | 7 Jan → | ||
| 9–13 | -0.05 | 16% | 7 Jan → | ||
| 13–10 | 0.02 | 14% | 6 Jan → | ||
| office | 10–13 | 0.00 | 16% | 6 Jan → | |
| office | 13–3 | 0.04 | 27% | 6 Jan → | |
| 13–7 | -0.00 | 6% | 6 Jan → | ||
| 12–16 | -0.02 | 9% | 6 Jan → |
Match data via Leetify.