YONNNNNJ — CS2 Stats
IL76561198167471219[U:1:207205491]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 55.0% | 52.8% |
| Shot accuracy | 14.2% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 53.1% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 b1t 95% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 60% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 597ms 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 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 26 | 11–15 | 42% | 0.01 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| S | 14 | 11–3 | 79% | 0.02 | |
| A | 11 | 6–5 | 55% | 0.01 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| D | 6 | 1–5 | 17% | 0.05 | |
| poseidon | — | 3 | 3–0 | 100% | 0.13 |
| — | 2 | 0–2 | 0% | 0.01 | |
| debris | — | 2 | 0–2 | 0% | -0.04 |
| office | — | 2 | 2–0 | 100% | 0.03 |
| — | 1 | 0–1 | 0% | -0.04 | |
| italy | — | 1 | 1–0 | 100% | 0.01 |
| — | 1 | 0–1 | 0% | 0.02 | |
| shelter | — | 1 | 0–1 | 0% | -0.10 |
| fachwerk | — | 1 | 1–0 | 100% | -0.07 |
| boulder | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 152 | 59% | 1.15 | 16.3 |
| Nuke | 83 | 64% | 1.14 | 15.6 |
| Anubis | 83 | 63% | 1.15 | 16.6 |
| Inferno | 50 | 68% | 1.25 | 16.6 |
| Ancient | 50 | 52% | 1.30 | 16.2 |
| Dust2 | 48 | 60% | 1.18 | 16.1 |
| Overpass | 29 | 62% | 1.15 | 17.7 |
| Vertigo | 18 | 61% | 1.07 | 15.4 |
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 27.5369% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.08 | 21% | 23 Aug → | ||
| 3–13 | -0.04 | 17% | 22 Aug → | ||
| 1–13 | -0.09 | 47% | 22 Aug → | ||
| 9–13 | 0.05 | 21% | 22 Aug → | ||
| 13–7 | 0.10 | 29% | 22 Aug → | ||
| 13–4 | 0.05 | 23% | 18 Aug → | ||
| 3–4 | 0.01 | 20% | 16 Aug → | ||
| 16–12 | -0.02 | 17% | 16 Aug → | ||
| 13–10 | 0.06 | 26% | 14 Aug → | ||
| 15–15 | 0.02 | 24% | 14 Aug → | ||
| 13–8 | 0.03 | 32% | 14 Aug → | ||
| 13–7 | 0.04 | 20% | 13 Aug → | ||
| 13–5 | 0.11 | 32% | 13 Aug → | ||
| poseidon | 9–5 | 0.09 | 38% | 13 Aug → | |
| debris | 8–8 | -0.07 | 20% | 13 Aug → | |
| poseidon | 9–4 | 0.13 | 81% | 13 Aug → | |
| debris | 8–8 | -0.02 | 41% | 13 Aug → | |
| italy | 13–4 | 0.01 | 30% | 12 Aug → | |
| office | 13–5 | 0.04 | 26% | 12 Aug → | |
| 12–4 | 0.17 | 22% | 12 Aug → | ||
| 13–6 | -0.03 | 26% | 11 Aug → | ||
| 13–11 | 0.00 | 31% | 11 Aug → | ||
| 13–8 | 0.02 | 21% | 11 Aug → | ||
| 13–4 | 0.08 | 30% | 11 Aug → | ||
| 12–12 | 0.12 | 22% | 10 Aug → | ||
| 15–15 | -0.01 | 26% | 10 Aug → | ||
| 5–13 | 0.02 | 37% | 10 Aug → | ||
| 11–13 | -0.02 | 32% | 9 Aug → | ||
| 16–14 | -0.01 | 17% | 9 Aug → | ||
| 13–5 | 0.09 | 24% | 9 Aug → | ||
| 3–13 | 0.06 | 38% | 9 Aug → | ||
| 13–6 | 0.01 | 24% | 8 Aug → | ||
| 5–13 | -0.03 | 18% | 8 Aug → | ||
| 9–13 | 0.02 | 27% | 8 Aug → | ||
| 13–9 | 0.08 | 37% | 8 Aug → | ||
| 2–8 | 0.06 | 53% | 8 Aug → | ||
| 14–16 | 0.00 | 20% | 8 Aug → | ||
| 13–5 | 0.01 | 22% | 7 Aug → | ||
| 0–4 | -0.03 | 0% | 7 Aug → | ||
| 13–16 | 0.03 | 30% | 6 Aug → | ||
| 13–6 | -0.04 | 29% | 6 Aug → | ||
| 2–13 | -0.06 | 29% | 6 Aug → | ||
| 13–11 | 0.06 | 28% | 6 Aug → | ||
| 13–10 | -0.05 | 16% | 5 Aug → | ||
| 0–9 | 0.00 | 0% | 4 Aug → | ||
| 6–13 | -0.08 | 20% | 1 Aug → | ||
| 2–8 | 0.00 | 0% | 1 Aug → | ||
| 13–5 | 0.01 | 31% | 31 Jul → | ||
| 15–15 | 0.01 | 20% | 28 Jul → | ||
| 7–13 | -0.02 | 36% | 28 Jul → | ||
| 10–13 | -0.03 | 19% | 26 Jul → | ||
| 13–8 | -0.06 | 33% | 22 Jul → | ||
| 11–13 | -0.01 | 10% | 22 Jul → | ||
| 1–10 | -0.02 | 19% | 22 Jul → | ||
| 6–7 | -0.01 | 44% | 21 Jul → | ||
| 9–4 | -0.00 | 12% | 21 Jul → | ||
| 15–15 | 0.04 | 29% | 20 Jul → | ||
| 3–0 | 0.27 | 33% | 20 Jul → | ||
| office | 13–11 | 0.03 | 50% | 20 Jul → | |
| 9–13 | -0.05 | 14% | 19 Jul → | ||
| 13–6 | 0.05 | 21% | 18 Jul → | ||
| 9–13 | 0.01 | 27% | 18 Jul → | ||
| 13–1 | 0.01 | 31% | 17 Jul → | ||
| 11–13 | -0.01 | 24% | 17 Jul → | ||
| 13–10 | 0.04 | 26% | 17 Jul → | ||
| 3–13 | -0.02 | 40% | 17 Jul → | ||
| 4–10 | -0.02 | 18% | 17 Jul → | ||
| poseidon | 9–3 | 0.18 | 31% | 17 Jul → | |
| 13–3 | 0.02 | 10% | 14 Jul → | ||
| 10–13 | 0.04 | 29% | 11 Jul → | ||
| 13–4 | 0.10 | 26% | 11 Jul → | ||
| 13–2 | 0.06 | 22% | 11 Jul → | ||
| 8–13 | 0.01 | 23% | 11 Jul → | ||
| 13–4 | 0.04 | 24% | 10 Jul → | ||
| 16–13 | -0.01 | 16% | 10 Jul → | ||
| 13–5 | 0.04 | 16% | 10 Jul → | ||
| 13–1 | 0.11 | 18% | 10 Jul → | ||
| 12–12 | 0.11 | 29% | 10 Jul → | ||
| 13–4 | 0.03 | 38% | 10 Jul → | ||
| 13–4 | 0.07 | 32% | 10 Jul → | ||
| shelter | 2–8 | -0.10 | 17% | 9 Jul → | |
| fachwerk | 13–11 | -0.07 | 17% | 9 Jul → | |
| boulder | 13–6 | -0.00 | 31% | 9 Jul → | |
| 3–8 | -0.06 | 22% | 8 Jul → | ||
| 6–13 | -0.04 | 30% | 7 Jul → | ||
| 13–8 | 0.02 | 15% | 7 Jul → | ||
| 12–12 | -0.03 | 14% | 7 Jul → | ||
| 14–16 | -0.05 | 41% | 2 Jul → | ||
| 14–16 | -0.01 | 31% | 1 Jul → | ||
| 0–6 | -0.02 | 0% | 1 Jul → | ||
| 13–5 | 0.03 | 18% | 28 Jun → | ||
| 1–13 | -0.06 | 7% | 28 Jun → | ||
| 5–13 | 0.06 | 21% | 28 Jun → | ||
| 13–7 | -0.01 | 14% | 27 Jun → | ||
| 13–5 | 0.04 | 18% | 27 Jun → | ||
| 10–13 | -0.07 | 6% | 27 Jun → | ||
| 11–5 | -0.05 | 44% | 27 Jun → | ||
| 13–2 | 0.09 | 26% | 27 Jun → | ||
| 4–7 | -0.08 | 18% | 27 Jun → | ||
| 13–10 | -0.04 | 28% | 26 Jun → |
Match data via Leetify.
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