Yawn — CS2 Stats
CA76561198844886751[U:1:884621023]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.04 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 87% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower opening-duel success; 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
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 611ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 29 | 14–15 | 48% | -0.02 | |
| B | 29 | 14–15 | 48% | 0.00 | |
| D | 10 | 3–7 | 30% | -0.02 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| — | 4 | 3–1 | 75% | -0.03 | |
| — | 3 | 2–1 | 67% | 0.02 | |
| poseidon | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 53 | 57% | 0.93 | 15.0 |
| Dust2 | 30 | 60% | 0.85 | 12.8 |
| Inferno | 22 | 45% | 0.96 | 14.8 |
| Ancient | 11 | 36% | 0.93 | 15.1 |
| Anubis | 9 | 56% | 1.08 | 16.9 |
| Cache | 9 | 56% | 0.73 | 13.0 |
| Vertigo | 9 | 33% | 0.87 | 13.4 |
| Nuke | 7 | 57% | 0.95 | 16.6 |
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.
- 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 30.1582% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.00 | 21% | 16 Aug → | ||
| 13–16 | 0.05 | 34% | 16 Aug → | ||
| 3–12 | -0.03 | 35% | 31 Jul → | ||
| 12–12 | -0.00 | 29% | 14 Jul → | ||
| 13–11 | -0.05 | 20% | 13 Jul → | ||
| 1–13 | -0.09 | 50% | 13 Jul → | ||
| 13–8 | 0.02 | 23% | 9 Jul → | ||
| 12–12 | -0.02 | 31% | 7 Jul → | ||
| 6–13 | 0.03 | 34% | 6 Jul → | ||
| 12–12 | 0.03 | 23% | 6 Jul → | ||
| 8–13 | -0.08 | 12% | 5 Jul → | ||
| 3–13 | -0.05 | 25% | 25 Jun → | ||
| 13–5 | -0.01 | 17% | 25 Jun → | ||
| 13–9 | -0.02 | 24% | 25 Jun → | ||
| 5–13 | -0.06 | 28% | 24 Jun → | ||
| 13–6 | -0.07 | 14% | 24 Jun → | ||
| 12–12 | -0.02 | 30% | 24 Jun → | ||
| 15–15 | -0.08 | 31% | 23 Jun → | ||
| 13–10 | -0.08 | 17% | 23 Jun → | ||
| 9–13 | 0.05 | 33% | 23 Jun → | ||
| 4–5 | -0.03 | 24% | 23 Jun → | ||
| 13–2 | 0.00 | 17% | 23 Jun → | ||
| 13–10 | -0.04 | 21% | 19 Jun → | ||
| 13–3 | -0.04 | 32% | 17 Jun → | ||
| 11–13 | -0.03 | 25% | 3 Jun → | ||
| 13–5 | 0.03 | 32% | 2 Jun → | ||
| 2–13 | -0.07 | 9% | 29 May → | ||
| 12–16 | -0.01 | 25% | 29 May → | ||
| 3–13 | -0.03 | 0% | 29 May → | ||
| 13–7 | 0.01 | 32% | 28 May → | ||
| 3–13 | 0.02 | 28% | 28 May → | ||
| 13–2 | -0.05 | 22% | 27 May → | ||
| 13–8 | 0.06 | 29% | 27 May → | ||
| 5–13 | -0.02 | 45% | 27 May → | ||
| 13–2 | 0.03 | 31% | 22 May → | ||
| 4–13 | 0.01 | 30% | 21 May → | ||
| 16–14 | -0.01 | 19% | 21 May → | ||
| 13–11 | -0.01 | 41% | 20 May → | ||
| 4–13 | -0.04 | 29% | 20 May → | ||
| 13–11 | -0.02 | 26% | 18 May → | ||
| 25–22 | -0.04 | 24% | 15 May → | ||
| 11–13 | 0.02 | 27% | 10 May → | ||
| 13–6 | 0.03 | 41% | 10 May → | ||
| 3–13 | -0.04 | 39% | 10 May → | ||
| 12–12 | -0.01 | 38% | 10 May → | ||
| 11–13 | -0.04 | 27% | 1 May → | ||
| 3–13 | -0.07 | 39% | 28 Apr → | ||
| 11–13 | -0.03 | 29% | 15 Apr → | ||
| 13–7 | -0.03 | 33% | 15 Apr → | ||
| 6–13 | 0.02 | 19% | 14 Apr → | ||
| 13–9 | -0.04 | 14% | 14 Apr → | ||
| 12–12 | 0.00 | 33% | 14 Apr → | ||
| 7–13 | 0.04 | 23% | 13 Apr → | ||
| 13–7 | 0.12 | 11% | 12 Apr → | ||
| 13–11 | -0.05 | 21% | 12 Apr → | ||
| 5–13 | 0.03 | 36% | 8 Apr → | ||
| 10–13 | 0.01 | 12% | 8 Apr → | ||
| 13–8 | 0.00 | 20% | 8 Apr → | ||
| 13–10 | 0.00 | 25% | 8 Apr → | ||
| 8–13 | -0.03 | 39% | 4 Apr → | ||
| 13–5 | 0.06 | 17% | 4 Apr → | ||
| 13–2 | -0.00 | 33% | 4 Apr → | ||
| poseidon | 3–9 | 0.05 | 27% | 3 Apr → | |
| 9–13 | -0.03 | 26% | 3 Apr → | ||
| 16–14 | 0.03 | 24% | 2 Apr → | ||
| 15–15 | -0.02 | 24% | 2 Apr → | ||
| 13–4 | 0.13 | 28% | 2 Apr → | ||
| 13–6 | 0.04 | 36% | 2 Apr → | ||
| 13–11 | -0.07 | 30% | 1 Apr → | ||
| 10–13 | -0.01 | 34% | 1 Apr → | ||
| 11–13 | -0.04 | 27% | 1 Apr → | ||
| 8–13 | -0.06 | 56% | 30 Mar → | ||
| 13–5 | 0.10 | 21% | 30 Mar → | ||
| 15–15 | -0.07 | 31% | 30 Mar → | ||
| 6–13 | -0.07 | 17% | 30 Mar → | ||
| 12–12 | 0.07 | 42% | 29 Mar → | ||
| 13–8 | 0.01 | 27% | 28 Mar → | ||
| 4–13 | -0.04 | 60% | 28 Mar → | ||
| 12–12 | -0.04 | 38% | 13 Mar → | ||
| 13–10 | 0.05 | 28% | 12 Mar → | ||
| 13–7 | 0.02 | 27% | 4 Mar → | ||
| 12–12 | -0.01 | 33% | 3 Mar → | ||
| 12–12 | -0.05 | 40% | 3 Mar → | ||
| 13–9 | -0.05 | 37% | 3 Mar → | ||
| 5–13 | 0.03 | 37% | 3 Mar → | ||
| 10–3 | -0.12 | 9% | 3 Mar → | ||
| 10–13 | -0.02 | 21% | 2 Mar → | ||
| 3–9 | -0.04 | 34% | 1 Mar → | ||
| 13–9 | 0.08 | 22% | 1 Mar → | ||
| 13–9 | 0.10 | 25% | 28 Feb → | ||
| 13–9 | -0.00 | 31% | 28 Feb → | ||
| 13–3 | 0.04 | 50% | 28 Feb → | ||
| 13–8 | 0.05 | 39% | 27 Feb → | ||
| 10–13 | 0.04 | 18% | 24 Feb → | ||
| 6–13 | -0.03 | 37% | 24 Feb → | ||
| 13–9 | 0.05 | 26% | 24 Feb → | ||
| 13–8 | -0.02 | 24% | 24 Feb → | ||
| 13–5 | -0.01 | 38% | 24 Feb → | ||
| 7–13 | -0.04 | 41% | 23 Feb → | ||
| 6–13 | -0.03 | 29% | 18 Feb → |
Match data via Leetify.