perineum — CS2 Stats
76561199096411981[U:1:1136146253]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp 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 77% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 760ms 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 3.3/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 24 | 9–15 | 38% | -0.02 | |
| C | 24 | 10–14 | 42% | -0.03 | |
| D | 12 | 3–9 | 25% | -0.04 | |
| D | 11 | 3–8 | 27% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| S | 6 | 4–2 | 67% | -0.05 | |
| S | 5 | 4–1 | 80% | -0.04 | |
| — | 4 | 1–3 | 25% | -0.05 | |
| — | 2 | 1–1 | 50% | -0.05 |
Across the last 100 tracked matches.
Vertigo is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 6 | 17% | 0.41 | 6.3 |
| Vertigo | 6 | 67% | 0.54 | 11.2 |
| Mirage | 5 | 40% | 0.49 | 7.6 |
| Ancient | 4 | 25% | 0.75 | 12.5 |
| Dust2 | 3 | 0% | 0.44 | 7.0 |
| Inferno | 3 | 33% | 0.78 | 13.3 |
| Nuke | 1 | 100% | 1.00 | 17.0 |
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 12.8288% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 759.6581ms — above the 700ms 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 25.6794% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.08 | 13% | 9 Jul → | ||
| 11–13 | -0.05 | 9% | 20 Jun → | ||
| 12–12 | -0.04 | 19% | 20 Jun → | ||
| 10–13 | -0.03 | 17% | 20 Jun → | ||
| 7–13 | -0.05 | 20% | 20 Jun → | ||
| 4–13 | -0.10 | 10% | 15 Jun → | ||
| 9–13 | -0.07 | 8% | 13 Jun → | ||
| 13–10 | -0.08 | 11% | 13 Jun → | ||
| 5–13 | -0.08 | 15% | 5 Jun → | ||
| 4–13 | -0.07 | 7% | 5 Jun → | ||
| 8–13 | -0.08 | 0% | 1 Jun → | ||
| 13–5 | -0.08 | 6% | 1 Jun → | ||
| 12–12 | -0.06 | 13% | 31 May → | ||
| 2–13 | -0.14 | 0% | 30 May → | ||
| 5–13 | -0.08 | 17% | 30 May → | ||
| 13–10 | -0.01 | 14% | 30 May → | ||
| 1–8 | -0.08 | 0% | 29 May → | ||
| 13–9 | 0.01 | 8% | 29 May → | ||
| 13–5 | -0.01 | 10% | 29 May → | ||
| 5–13 | 0.02 | 23% | 29 May → | ||
| 11–13 | -0.03 | 12% | 28 May → | ||
| 13–10 | -0.01 | 12% | 28 May → | ||
| 13–3 | -0.05 | 36% | 28 May → | ||
| 6–13 | -0.01 | 14% | 27 May → | ||
| 12–12 | -0.00 | 10% | 27 May → | ||
| 12–12 | 0.01 | 10% | 25 May → | ||
| 5–13 | -0.01 | 26% | 25 May → | ||
| 13–6 | -0.04 | 4% | 25 May → | ||
| 13–10 | -0.07 | 16% | 25 May → | ||
| 10–13 | -0.07 | 13% | 22 May → | ||
| 13–7 | -0.06 | 9% | 18 May → | ||
| 9–13 | -0.07 | 8% | 18 May → | ||
| 8–13 | -0.00 | 5% | 16 May → | ||
| 13–7 | -0.14 | 0% | 16 May → | ||
| 5–13 | -0.04 | 19% | 15 May → | ||
| 10–13 | -0.06 | 13% | 7 May → | ||
| 6–7 | -0.15 | 5% | 6 May → | ||
| 12–12 | -0.02 | 15% | 6 May → | ||
| 11–13 | -0.11 | 15% | 5 May → | ||
| 8–13 | -0.06 | 19% | 27 Apr → | ||
| 3–13 | -0.05 | 13% | 26 Apr → | ||
| 5–13 | -0.05 | 3% | 24 Apr → | ||
| 4–0 | -0.02 | 100% | 24 Apr → | ||
| 13–11 | -0.04 | 16% | 23 Apr → | ||
| 13–10 | -0.05 | 8% | 22 Apr → | ||
| 8–13 | -0.04 | 16% | 22 Apr → | ||
| 7–13 | -0.04 | 12% | 21 Apr → | ||
| 4–13 | -0.03 | 10% | 21 Apr → | ||
| 7–13 | 0.02 | 9% | 21 Apr → | ||
| 4–13 | -0.02 | 9% | 21 Apr → | ||
| 10–13 | -0.01 | 27% | 19 Apr → | ||
| 7–13 | -0.09 | 6% | 19 Apr → | ||
| 13–1 | 0.02 | 25% | 18 Apr → | ||
| 13–4 | -0.02 | 5% | 18 Apr → | ||
| 10–13 | -0.04 | 10% | 18 Apr → | ||
| 13–9 | -0.07 | 9% | 18 Apr → | ||
| 6–13 | -0.05 | 12% | 17 Apr → | ||
| 13–6 | 0.04 | 17% | 17 Apr → | ||
| 13–7 | -0.10 | 9% | 15 Apr → | ||
| 7–13 | -0.07 | 7% | 15 Apr → | ||
| 13–6 | -0.02 | 6% | 14 Apr → | ||
| 10–13 | -0.02 | 8% | 14 Apr → | ||
| 12–12 | -0.02 | 9% | 13 Apr → | ||
| 13–11 | -0.04 | 11% | 12 Apr → | ||
| 13–5 | 0.02 | 14% | 12 Apr → | ||
| 13–6 | -0.03 | 5% | 12 Apr → | ||
| 3–13 | -0.09 | 20% | 9 Apr → | ||
| 7–13 | -0.00 | 15% | 9 Apr → | ||
| 10–13 | 0.00 | 8% | 9 Apr → | ||
| 13–11 | -0.04 | 11% | 9 Apr → | ||
| 5–13 | 0.01 | 19% | 9 Apr → | ||
| 12–12 | -0.02 | 9% | 9 Apr → | ||
| 13–7 | 0.01 | 5% | 8 Apr → | ||
| 9–13 | -0.01 | 12% | 7 Apr → | ||
| 13–10 | -0.01 | 9% | 7 Apr → | ||
| 13–10 | 0.01 | 11% | 7 Apr → | ||
| 10–13 | 0.05 | 9% | 7 Apr → | ||
| 13–11 | -0.03 | 3% | 7 Apr → | ||
| 13–6 | 0.12 | 12% | 7 Apr → | ||
| 13–8 | -0.05 | 12% | 3 Apr → | ||
| 13–10 | -0.09 | 22% | 2 Apr → | ||
| 6–13 | -0.07 | 9% | 2 Apr → | ||
| 13–11 | 0.04 | 8% | 2 Apr → | ||
| 9–13 | 0.02 | 13% | 2 Apr → | ||
| 10–13 | -0.02 | 16% | 1 Apr → | ||
| 4–0 | -0.03 | 17% | 1 Apr → | ||
| 12–12 | -0.07 | 17% | 1 Apr → | ||
| 13–8 | -0.04 | 16% | 1 Apr → | ||
| 9–13 | -0.05 | 17% | 1 Apr → | ||
| 5–13 | -0.01 | 18% | 31 Mar → | ||
| 1–13 | -0.05 | 15% | 31 Mar → | ||
| 13–11 | -0.06 | 7% | 30 Mar → | ||
| 13–5 | 0.09 | 9% | 30 Mar → | ||
| 4–13 | -0.04 | 10% | 30 Mar → | ||
| 13–6 | 0.04 | 14% | 29 Mar → | ||
| 6–13 | -0.05 | 15% | 29 Mar → | ||
| 13–6 | -0.03 | 2% | 29 Mar → | ||
| 3–13 | -0.05 | 20% | 28 Mar → | ||
| 13–7 | -0.01 | 15% | 28 Mar → | ||
| 13–2 | 0.07 | 8% | 28 Mar → |
Match data via Leetify.