Toilet sink — CS2 Stats
76561198116122939[U:1:155857211]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 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 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim profile.
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
T-side openings. Opening success drops from 48% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 16 | 8–8 | 50% | -0.03 | |
| C | 16 | 6–10 | 38% | 0.00 | |
| B | 12 | 6–6 | 50% | -0.04 | |
| S | 11 | 9–2 | 82% | -0.00 | |
| S | 10 | 7–3 | 70% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.04 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| S | 5 | 4–1 | 80% | -0.03 | |
| office | — | 4 | 2–2 | 50% | -0.02 |
| — | 3 | 0–3 | 0% | -0.06 | |
| stronghold | — | 1 | 1–0 | 100% | 0.10 |
| warden | — | 1 | 1–0 | 100% | 0.04 |
| alpine | — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 5 | 80% | 1.10 | 14.8 |
| Anubis | 2 | 50% | 0.95 | 14.0 |
| Inferno | 2 | 100% | 1.18 | 14.0 |
| Vertigo | 1 | 0% | 0.88 | 15.0 |
| Overpass | 1 | 0% | 0.65 | 11.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6053% — below the 15% mark we flag
- 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 0.2625 — 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 23.9184% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.06 | 11% | 25 Aug → | ||
| 5–13 | -0.00 | 13% | 25 Aug → | ||
| 10–4 | 0.01 | 14% | 23 Aug → | ||
| 12–12 | 0.02 | 13% | 30 Jul → | ||
| 11–13 | -0.07 | 12% | 29 Jul → | ||
| 13–11 | -0.04 | 8% | 22 Jul → | ||
| 13–16 | -0.05 | 17% | 19 Jul → | ||
| 8–13 | -0.10 | 8% | 19 Jul → | ||
| 16–13 | 0.01 | 11% | 19 Jul → | ||
| 13–7 | -0.06 | 7% | 18 Jul → | ||
| 13–4 | -0.04 | 16% | 12 Jul → | ||
| 13–5 | -0.02 | 9% | 9 Jul → | ||
| 3–13 | -0.03 | 18% | 9 Jul → | ||
| 13–6 | -0.01 | 9% | 5 Jul → | ||
| 11–13 | 0.00 | 6% | 5 Jul → | ||
| 11–2 | -0.09 | 13% | 3 Jul → | ||
| 13–6 | -0.00 | 22% | 1 Jul → | ||
| 9–13 | 0.05 | 7% | 1 Jul → | ||
| 11–13 | 0.02 | 11% | 1 Jul → | ||
| 11–13 | -0.01 | 15% | 1 Jul → | ||
| 16–13 | -0.02 | 16% | 1 Jul → | ||
| 13–9 | -0.07 | 14% | 29 Jun → | ||
| 9–13 | -0.09 | 8% | 29 Jun → | ||
| 8–13 | 0.03 | 11% | 29 Jun → | ||
| 9–2 | 0.07 | 9% | 29 Jun → | ||
| 10–13 | 0.02 | 30% | 27 Jun → | ||
| 11–13 | -0.03 | 15% | 27 Jun → | ||
| 8–13 | -0.10 | 14% | 27 Jun → | ||
| 13–2 | 0.12 | 14% | 27 Jun → | ||
| 8–13 | -0.05 | 7% | 24 Jun → | ||
| 8–13 | -0.07 | 21% | 24 Jun → | ||
| 13–8 | 0.01 | 9% | 22 Jun → | ||
| 13–7 | 0.01 | 23% | 22 Jun → | ||
| 11–13 | -0.04 | 18% | 9 Jun → | ||
| 13–10 | 0.03 | 12% | 7 Jun → | ||
| 13–9 | -0.01 | 5% | 7 Jun → | ||
| 9–13 | -0.01 | 13% | 3 Jun → | ||
| 13–10 | -0.04 | 6% | 3 Jun → | ||
| 4–13 | -0.08 | 7% | 3 Jun → | ||
| 11–13 | -0.05 | 14% | 30 May → | ||
| 13–8 | 0.03 | 23% | 30 May → | ||
| 13–6 | -0.00 | 17% | 28 May → | ||
| 15–15 | -0.07 | 18% | 27 May → | ||
| 12–16 | -0.03 | 17% | 27 May → | ||
| 16–14 | -0.04 | 18% | 20 May → | ||
| 13–6 | 0.03 | 18% | 19 May → | ||
| office | 13–4 | -0.01 | 20% | 15 May → | |
| office | 7–13 | -0.07 | 4% | 15 May → | |
| 2–10 | -0.11 | 29% | 10 May → | ||
| 13–10 | -0.03 | 6% | 7 May → | ||
| 13–11 | 0.00 | 14% | 7 May → | ||
| 13–9 | -0.03 | 24% | 3 May → | ||
| 11–13 | -0.00 | 12% | 3 May → | ||
| 13–11 | 0.04 | 10% | 3 May → | ||
| 9–13 | -0.03 | 15% | 3 May → | ||
| 13–11 | -0.06 | 15% | 28 Apr → | ||
| 5–0 | 0.01 | 5% | 27 Apr → | ||
| 7–13 | 0.01 | 21% | 23 Apr → | ||
| stronghold | 13–5 | 0.10 | 15% | 19 Apr → | |
| 13–10 | 0.01 | 13% | 19 Apr → | ||
| 13–8 | 0.06 | 15% | 17 Apr → | ||
| 11–13 | 0.01 | 12% | 17 Apr → | ||
| 13–9 | -0.03 | 21% | 17 Apr → | ||
| 13–2 | 0.01 | 23% | 17 Apr → | ||
| 13–7 | 0.00 | 12% | 16 Apr → | ||
| 4–13 | -0.05 | 17% | 16 Apr → | ||
| 13–5 | -0.03 | 21% | 16 Apr → | ||
| 10–13 | -0.06 | 6% | 16 Apr → | ||
| 14–16 | 0.01 | 10% | 12 Apr → | ||
| 13–11 | -0.02 | 15% | 12 Apr → | ||
| 13–4 | 0.04 | 26% | 12 Apr → | ||
| 13–5 | -0.01 | 6% | 12 Apr → | ||
| 5–13 | -0.03 | 24% | 12 Apr → | ||
| 7–13 | 0.01 | 13% | 11 Apr → | ||
| 13–3 | 0.09 | 10% | 11 Apr → | ||
| 13–8 | 0.00 | 17% | 11 Apr → | ||
| 9–13 | -0.01 | 12% | 11 Apr → | ||
| 13–8 | 0.01 | 17% | 10 Apr → | ||
| 12–12 | -0.08 | 14% | 9 Apr → | ||
| 9–13 | -0.02 | 12% | 9 Apr → | ||
| 13–11 | -0.01 | 8% | 4 Apr → | ||
| 13–8 | -0.01 | 16% | 4 Apr → | ||
| 13–6 | 0.00 | 12% | 2 Apr → | ||
| 13–9 | -0.04 | 16% | 2 Apr → | ||
| 13–2 | -0.07 | 9% | 27 Mar → | ||
| warden | 9–3 | 0.04 | 22% | 27 Mar → | |
| 3–13 | -0.01 | 22% | 27 Mar → | ||
| 7–13 | -0.07 | 6% | 27 Mar → | ||
| alpine | 8–13 | -0.04 | 11% | 27 Mar → | |
| 13–7 | -0.05 | 10% | 27 Mar → | ||
| 12–12 | 0.02 | 12% | 26 Mar → | ||
| 2–13 | -0.13 | 4% | 26 Mar → | ||
| 13–8 | 0.01 | 8% | 23 Mar → | ||
| 4–9 | -0.05 | 29% | 22 Mar → | ||
| 4–9 | -0.05 | 2% | 22 Mar → | ||
| 3–9 | -0.11 | 40% | 22 Mar → | ||
| 9–6 | -0.08 | 35% | 21 Mar → | ||
| office | 8–13 | -0.02 | 13% | 20 Mar → | |
| office | 13–9 | 0.00 | 19% | 20 Mar → | |
| 8–13 | 0.02 | 16% | 20 Mar → |
Match data via Leetify.