ATI — CS2 Stats
SK76561198132317573[U:1:172051845]Steam profile ↗
How this compares with the same rank
Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median | vs Level 2 |
|---|---|---|---|
| Headshot rate | 32.5% | 42.1% | 9.6% short |
| Shot accuracy | 12.8% | 12.9% | meets |
| Kill/death ratio | 1.04 | 1.00 | above |
| Match win rate | 45.3% | 42.9% | above |
This profile matches the typical Level 2 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp 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 sh1ro 74% playstyle similarity
Most alike: positioning profile, 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 60% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 67% 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 4.1/10 (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 | 84 | 43–41 | 51% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (51% over 84). Start with the 6 essential Nuke 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 resultsWLLLL
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 10.2414% — 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 0.1398 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.02 | 7% | 26 Aug → | ||
| 13–7 | 0.02 | 8% | 26 Aug → | ||
| 7–13 | -0.05 | 8% | 17 Aug → | ||
| 13–8 | 0.02 | 13% | 14 Aug → | ||
| 13–5 | 0.12 | 15% | 14 Aug → | ||
| 6–13 | -0.07 | 5% | 11 Aug → | ||
| 8–13 | 0.02 | 7% | 11 Aug → | ||
| 7–13 | -0.02 | 9% | 11 Aug → | ||
| 11–13 | -0.02 | 7% | 10 Aug → | ||
| 11–13 | -0.01 | 13% | 10 Aug → | ||
| 13–6 | 0.07 | 11% | 9 Aug → | ||
| 4–13 | -0.01 | 13% | 9 Aug → | ||
| 3–13 | -0.03 | 10% | 9 Aug → | ||
| 10–13 | 0.04 | 7% | 8 Aug → | ||
| 11–13 | -0.03 | 8% | 8 Aug → | ||
| 13–1 | 0.00 | 6% | 8 Aug → | ||
| 9–13 | -0.04 | 11% | 8 Aug → | ||
| 13–7 | 0.00 | 6% | 7 Aug → | ||
| 13–8 | 0.05 | 10% | 7 Aug → | ||
| 12–12 | 0.04 | 12% | 7 Aug → | ||
| 13–10 | -0.04 | 14% | 6 Aug → | ||
| 13–6 | 0.09 | 20% | 6 Aug → | ||
| 13–5 | 0.07 | 11% | 6 Aug → | ||
| 13–8 | 0.01 | 8% | 6 Aug → | ||
| 13–3 | 0.04 | 5% | 6 Aug → | ||
| 13–4 | 0.09 | 15% | 6 Aug → | ||
| 10–13 | 0.04 | 17% | 5 Aug → | ||
| 13–10 | 0.02 | 13% | 5 Aug → | ||
| 9–13 | 0.09 | 5% | 5 Aug → | ||
| 3–13 | -0.03 | 14% | 5 Aug → | ||
| 13–4 | 0.02 | 17% | 5 Aug → | ||
| 13–7 | 0.06 | 6% | 5 Aug → | ||
| 13–3 | 0.10 | 7% | 5 Aug → | ||
| 10–13 | -0.05 | 9% | 5 Aug → | ||
| 12–12 | 0.06 | 12% | 5 Aug → | ||
| 13–6 | 0.07 | 14% | 4 Aug → | ||
| 13–8 | 0.01 | 8% | 4 Aug → | ||
| 12–12 | -0.05 | 8% | 4 Aug → | ||
| 13–4 | 0.10 | 10% | 3 Aug → | ||
| 13–4 | 0.14 | 17% | 3 Aug → | ||
| 13–9 | -0.01 | 18% | 3 Aug → | ||
| 13–8 | 0.04 | 10% | 3 Aug → | ||
| 2–13 | -0.11 | 0% | 31 Jul → | ||
| 12–12 | 0.03 | 8% | 30 Jul → | ||
| 13–8 | 0.14 | 12% | 30 Jul → | ||
| 13–5 | 0.05 | 8% | 30 Jul → | ||
| 11–13 | 0.00 | 13% | 30 Jul → | ||
| 12–12 | 0.05 | 5% | 30 Jul → | ||
| 10–13 | 0.06 | 6% | 29 Jul → | ||
| 5–13 | 0.06 | 3% | 29 Jul → | ||
| 5–13 | 0.03 | 9% | 29 Jul → | ||
| 11–13 | -0.01 | 15% | 29 Jul → | ||
| 5–13 | -0.05 | 13% | 29 Jul → | ||
| 13–10 | 0.05 | 3% | 29 Jul → | ||
| 9–13 | -0.01 | 6% | 28 Jul → | ||
| 12–12 | 0.05 | 13% | 28 Jul → | ||
| 11–13 | 0.02 | 8% | 28 Jul → | ||
| 12–12 | 0.00 | 4% | 28 Jul → | ||
| 13–11 | 0.08 | 11% | 28 Jul → | ||
| 13–2 | 0.01 | 5% | 28 Jul → | ||
| 13–5 | 0.01 | 5% | 28 Jul → | ||
| 13–7 | -0.01 | 4% | 28 Jul → | ||
| 13–7 | 0.00 | 13% | 27 Jul → | ||
| 12–12 | 0.02 | 9% | 27 Jul → | ||
| 12–12 | 0.08 | 11% | 27 Jul → | ||
| 13–6 | 0.05 | 6% | 26 Jul → | ||
| 6–13 | -0.02 | 11% | 26 Jul → | ||
| 11–13 | -0.01 | 16% | 26 Jul → | ||
| 9–13 | -0.03 | 13% | 26 Jul → | ||
| 12–12 | 0.06 | 16% | 26 Jul → | ||
| 13–9 | -0.03 | 9% | 26 Jul → | ||
| 13–2 | 0.03 | 5% | 26 Jul → | ||
| 1–7 | -0.08 | 7% | 25 Jul → | ||
| 6–13 | -0.00 | 4% | 25 Jul → | ||
| 13–9 | -0.02 | 13% | 25 Jul → | ||
| 13–4 | -0.03 | 10% | 25 Jul → | ||
| 13–10 | 0.01 | 16% | 25 Jul → | ||
| 9–13 | 0.01 | 9% | 25 Jul → | ||
| 6–13 | 0.02 | 6% | 24 Jul → | ||
| 4–13 | -0.03 | 8% | 24 Jul → | ||
| 13–7 | -0.04 | 10% | 24 Jul → | ||
| 13–10 | -0.02 | 4% | 24 Jul → | ||
| 11–13 | 0.03 | 10% | 24 Jul → | ||
| 13–6 | -0.01 | 13% | 23 Jul → | ||
| 7–13 | 0.00 | 9% | 23 Jul → | ||
| 13–6 | -0.03 | 8% | 23 Jul → | ||
| 13–2 | 0.09 | 12% | 23 Jul → | ||
| 13–6 | 0.02 | 9% | 23 Jul → | ||
| 13–5 | 0.08 | 12% | 23 Jul → | ||
| 7–13 | -0.03 | 2% | 23 Jul → | ||
| 11–13 | -0.03 | 8% | 22 Jul → | ||
| 13–3 | 0.02 | 16% | 22 Jul → | ||
| 8–13 | 0.00 | 24% | 22 Jul → | ||
| 13–3 | 0.09 | 21% | 22 Jul → | ||
| 13–4 | 0.02 | 8% | 22 Jul → | ||
| 13–9 | -0.02 | 25% | 21 Jul → | ||
| 13–7 | 0.11 | 12% | 21 Jul → | ||
| 13–2 | 0.07 | 6% | 21 Jul → | ||
| 13–0 | 0.05 | 16% | 21 Jul → | ||
| 13–3 | 0.08 | 8% | 21 Jul → |
Match data via Leetify.