devyatyy — CS2 Stats
76561199152859331[U:1:1192593603]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 45.0% | 44.2% | 44.9% | meets |
| Shot accuracy | 9.7% | 11.2% | 11.8% | 2.2% short |
| Kill/death ratio | 0.94 | 1.04 | 1.04 | 0.10 short |
| Match win rate | 41.7% | 45.3% | 45.3% | 3.6% short |
This profile matches the typical Level 6 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 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 · -0.03 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 89% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: 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
Reaction time. 588ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
| A | 34 | 19–15 | 56% | 0.00 | |
| C | 29 | 11–18 | 38% | 0.00 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| D | 8 | 2–6 | 25% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| — | 1 | 1–0 | 100% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 8). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 414 | 49% | 1.14 | 16.0 |
| Dust2 | 330 | 50% | 1.10 | 15.6 |
| Inferno | 127 | 49% | 1.13 | 15.3 |
| Ancient | 104 | 47% | 0.98 | 14.7 |
| Nuke | 90 | 40% | 0.93 | 14.3 |
| Anubis | 85 | 52% | 1.13 | 16.2 |
| Overpass | 52 | 48% | 1.02 | 15.3 |
| Train | 16 | 38% | 1.22 | 16.7 |
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
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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 14% | 26 Aug → | ||
| 6–13 | -0.01 | 20% | 20 Aug → | ||
| 3–9 | -0.12 | 33% | 16 Aug → | ||
| 1–9 | -0.24 | 25% | 16 Aug → | ||
| 13–5 | -0.04 | 41% | 16 Aug → | ||
| 13–3 | 0.13 | 19% | 16 Aug → | ||
| 6–13 | -0.01 | 20% | 6 Aug → | ||
| 14–16 | -0.02 | 29% | 4 Aug → | ||
| 11–13 | -0.01 | 21% | 4 Aug → | ||
| 5–13 | -0.05 | 19% | 3 Aug → | ||
| 4–13 | 0.01 | 23% | 2 Aug → | ||
| 10–13 | 0.03 | 20% | 1 Aug → | ||
| 8–13 | -0.01 | 17% | 31 Jul → | ||
| 15–19 | -0.03 | 15% | 30 Jul → | ||
| 13–8 | 0.03 | 14% | 30 Jul → | ||
| 3–13 | -0.01 | 18% | 29 Jul → | ||
| 7–13 | -0.01 | 7% | 29 Jul → | ||
| 13–11 | 0.03 | 6% | 29 Jul → | ||
| 4–13 | -0.11 | 23% | 29 Jul → | ||
| 9–13 | -0.03 | 15% | 29 Jul → | ||
| 4–13 | -0.10 | 8% | 28 Jul → | ||
| 13–11 | -0.01 | 15% | 27 Jul → | ||
| 5–13 | -0.03 | 8% | 27 Jul → | ||
| 6–13 | -0.02 | 8% | 27 Jul → | ||
| 7–13 | -0.07 | 13% | 27 Jul → | ||
| 13–9 | -0.04 | 8% | 27 Jul → | ||
| 13–7 | -0.04 | 13% | 27 Jul → | ||
| 13–16 | -0.04 | 13% | 27 Jul → | ||
| 13–10 | -0.01 | 23% | 26 Jul → | ||
| 13–9 | 0.05 | 14% | 24 Jul → | ||
| 13–8 | 0.05 | 31% | 24 Jul → | ||
| 13–9 | 0.04 | 19% | 24 Jul → | ||
| 13–7 | -0.04 | 14% | 24 Jul → | ||
| 13–6 | 0.01 | 23% | 24 Jul → | ||
| 13–11 | -0.02 | 11% | 21 Jul → | ||
| 10–13 | 0.06 | 17% | 16 Jul → | ||
| 13–11 | 0.13 | 17% | 16 Jul → | ||
| 10–13 | 0.07 | 13% | 16 Jul → | ||
| 13–4 | 0.05 | 15% | 16 Jul → | ||
| 6–13 | -0.04 | 12% | 15 Jul → | ||
| 15–15 | 0.01 | 8% | 12 Jul → | ||
| 11–13 | 0.01 | 17% | 11 Jul → | ||
| 13–9 | -0.09 | 24% | 8 Jul → | ||
| 19–17 | 0.00 | 17% | 7 Jul → | ||
| 7–13 | -0.01 | 21% | 7 Jul → | ||
| 10–13 | 0.03 | 26% | 6 Jul → | ||
| 3–13 | -0.03 | 17% | 6 Jul → | ||
| 13–11 | -0.05 | 14% | 5 Jul → | ||
| 3–13 | -0.01 | 15% | 26 Jun → | ||
| 13–11 | -0.05 | 7% | 23 Jun → | ||
| 9–13 | -0.04 | 13% | 20 Jun → | ||
| 13–5 | 0.02 | 16% | 20 Jun → | ||
| 4–13 | -0.04 | 25% | 20 Jun → | ||
| 13–9 | 0.05 | 20% | 20 Jun → | ||
| 5–13 | -0.01 | 14% | 17 Jun → | ||
| 13–4 | -0.02 | 21% | 14 Jun → | ||
| 3–13 | -0.06 | 14% | 13 Jun → | ||
| 13–7 | -0.03 | 17% | 13 Jun → | ||
| 7–13 | -0.08 | 22% | 12 Jun → | ||
| 10–13 | 0.01 | 33% | 10 Jun → | ||
| 6–13 | -0.02 | 21% | 10 Jun → | ||
| 10–13 | -0.05 | 23% | 9 Jun → | ||
| 13–9 | -0.02 | 12% | 8 Jun → | ||
| 9–13 | -0.03 | 24% | 4 Jun → | ||
| 9–7 | 0.09 | 31% | 4 Jun → | ||
| 9–13 | 0.00 | 26% | 4 Jun → | ||
| 13–9 | -0.00 | 15% | 4 Jun → | ||
| 5–13 | -0.02 | 20% | 4 Jun → | ||
| 13–9 | 0.01 | 23% | 4 Jun → | ||
| 13–7 | -0.00 | 18% | 2 Jun → | ||
| 15–15 | 0.04 | 14% | 29 May → | ||
| 13–3 | 0.12 | 16% | 29 May → | ||
| 5–9 | -0.11 | 4% | 26 May → | ||
| 10–13 | -0.01 | 13% | 25 May → | ||
| 13–8 | 0.10 | 28% | 22 May → | ||
| 13–9 | 0.00 | 13% | 21 May → | ||
| 7–13 | -0.04 | 7% | 21 May → | ||
| 13–11 | 0.02 | 9% | 21 May → | ||
| 6–13 | 0.09 | 14% | 21 May → | ||
| 13–10 | 0.09 | 18% | 15 May → | ||
| 4–13 | 0.00 | 0% | 15 May → | ||
| 13–4 | 0.00 | 25% | 15 May → | ||
| 10–13 | 0.02 | 13% | 15 May → | ||
| 13–2 | 0.12 | 24% | 15 May → | ||
| 20–22 | -0.03 | 20% | 13 May → | ||
| 13–8 | 0.04 | 22% | 12 May → | ||
| 9–0 | 0.23 | 14% | 8 May → | ||
| 8–13 | -0.01 | 21% | 8 May → | ||
| 13–7 | 0.06 | 18% | 8 May → | ||
| 8–13 | -0.02 | 22% | 8 May → | ||
| 13–2 | 0.05 | 11% | 7 May → | ||
| 13–5 | 0.06 | 11% | 6 May → | ||
| 8–13 | 0.02 | 6% | 5 May → | ||
| 13–4 | 0.09 | 29% | 3 May → | ||
| 6–13 | -0.08 | 22% | 1 May → | ||
| 15–15 | 0.01 | 17% | 29 Apr → | ||
| 13–10 | 0.02 | 13% | 29 Apr → | ||
| 19–17 | 0.00 | 14% | 28 Apr → | ||
| 9–13 | 0.06 | 9% | 26 Apr → | ||
| 13–5 | -0.02 | 22% | 23 Apr → |
Match data via Leetify.