PRG — CS2 Stats
US76561197963147849[U:1:2882121]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,540
- Next: 3,000 ELO at 3,000 — 460 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
- 2,500 ELO first seen 2026-08-28
- Level 10 first seen 2026-08-28
Premier CS Rating
- At peak — 25,551
- Next: Gold band at 30,000 — 4,449 to go
- Reached: Red band · Pink band · Purple band · Blue band
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Red band among CSDB-tracked players (n=1,873), 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 | Red band median |
|---|---|---|
| Headshot rate | 54.9% | 49.9% |
| Shot accuracy | 12.4% | 13.4% |
| Kill/death ratio | 1.16 | 1.12 |
| Match win rate | 56.4% | 48.4% |
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 96% playstyle similarity
Most alike: utility contribution, positioning 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 555ms 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 7.8/10 (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 |
|---|---|---|---|---|---|
| S | 32 | 25–7 | 78% | 0.02 | |
| B | 27 | 13–14 | 48% | 0.02 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.04 | |
| S | 8 | 7–1 | 88% | 0.02 | |
| A | 7 | 4–3 | 57% | 0.06 | |
| — | 3 | 3–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (48% over 27). Start with the 6 essential Dust 2 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 resultsLLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 118 | 60% | 1.33 | 18.4 |
| Dust2 | 60 | 60% | 1.30 | 17.9 |
| Inferno | 59 | 69% | 1.53 | 18.9 |
| Ancient | 41 | 54% | 1.24 | 18.6 |
| Anubis | 22 | 68% | 1.39 | 18.6 |
| Nuke | 11 | 45% | 1.26 | 14.9 |
| Cache | 10 | 50% | 1.26 | 18.8 |
| Overpass | 5 | 60% | 1.74 | 23.2 |
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.
48% win rate across 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.06 | 24% | 29 Aug → | ||
| 13–2 | 0.10 | 24% | 29 Aug → | ||
| 13–5 | 0.05 | 26% | 29 Aug → | ||
| 13–3 | 0.09 | 50% | 29 Aug → | ||
| 13–11 | 0.07 | 18% | 27 Aug → | ||
| 10–13 | 0.13 | 20% | 27 Aug → | ||
| 5–13 | 0.03 | 31% | 21 Aug → | ||
| 6–13 | -0.01 | 23% | 21 Aug → | ||
| 13–11 | 0.06 | 23% | 21 Aug → | ||
| 10–13 | 0.01 | 32% | 20 Aug → | ||
| 11–13 | -0.02 | 25% | 20 Aug → | ||
| 13–1 | -0.04 | 28% | 20 Aug → | ||
| 11–13 | 0.09 | 19% | 20 Aug → | ||
| 16–14 | -0.02 | 19% | 19 Aug → | ||
| 13–7 | 0.10 | 28% | 19 Aug → | ||
| 13–16 | -0.05 | 20% | 18 Aug → | ||
| 13–9 | 0.11 | 25% | 18 Aug → | ||
| 8–13 | -0.02 | 19% | 18 Aug → | ||
| 8–13 | 0.07 | 27% | 15 Aug → | ||
| 13–7 | 0.09 | 30% | 9 Aug → | ||
| 13–8 | 0.05 | 14% | 9 Aug → | ||
| 13–10 | 0.00 | 36% | 9 Aug → | ||
| 13–9 | -0.04 | 22% | 24 Jul → | ||
| 0–13 | -0.03 | 33% | 21 Jul → | ||
| 13–4 | 0.07 | 24% | 18 Jul → | ||
| 13–4 | 0.06 | 27% | 14 Jul → | ||
| 10–13 | 0.01 | 19% | 14 Jul → | ||
| 19–17 | 0.01 | 17% | 12 Jul → | ||
| 13–8 | -0.01 | 21% | 12 Jul → | ||
| 4–13 | 0.02 | 19% | 11 Jul → | ||
| 13–9 | 0.14 | 19% | 11 Jul → | ||
| 13–10 | 0.01 | 27% | 10 Jul → | ||
| 8–13 | 0.08 | 20% | 5 Jul → | ||
| 13–9 | 0.05 | 24% | 29 Jun → | ||
| 5–13 | -0.03 | 24% | 22 Jun → | ||
| 7–13 | 0.00 | 12% | 22 Jun → | ||
| 13–8 | 0.03 | 31% | 22 Jun → | ||
| 13–9 | 0.02 | 27% | 18 Jun → | ||
| 13–3 | 0.02 | 23% | 16 Jun → | ||
| 13–10 | 0.03 | 24% | 6 Jun → | ||
| 13–6 | 0.01 | 19% | 4 Jun → | ||
| 13–11 | -0.03 | 23% | 2 Jun → | ||
| 16–14 | 0.04 | 12% | 2 Jun → | ||
| 13–6 | 0.10 | 30% | 1 Jun → | ||
| 13–5 | 0.02 | 18% | 1 Jun → | ||
| 13–6 | 0.06 | 22% | 1 Jun → | ||
| 2–13 | -0.07 | 18% | 1 Jun → | ||
| 13–4 | -0.00 | 28% | 1 Jun → | ||
| 7–1 | -0.03 | 11% | 1 Jun → | ||
| 5–13 | 0.00 | 42% | 27 May → | ||
| 0–13 | -0.07 | 50% | 27 May → | ||
| 13–1 | -0.03 | 23% | 27 May → | ||
| 13–3 | 0.04 | 24% | 27 May → | ||
| 9–13 | 0.07 | 33% | 27 May → | ||
| 16–14 | 0.07 | 24% | 27 May → | ||
| 8–13 | -0.02 | 15% | 27 May → | ||
| 14–16 | 0.03 | 21% | 24 May → | ||
| 16–12 | 0.07 | 27% | 23 May → | ||
| 5–13 | -0.02 | 30% | 23 May → | ||
| 8–13 | 0.01 | 25% | 23 May → | ||
| 13–4 | -0.02 | 22% | 23 May → | ||
| 11–13 | -0.02 | 30% | 23 May → | ||
| 1–13 | -0.05 | 46% | 22 May → | ||
| 8–13 | -0.00 | 33% | 22 May → | ||
| 13–11 | 0.04 | 23% | 22 May → | ||
| 13–2 | 0.05 | 35% | 22 May → | ||
| 13–7 | 0.01 | 29% | 22 May → | ||
| 13–7 | 0.05 | 25% | 20 May → | ||
| 13–10 | -0.01 | 33% | 18 May → | ||
| 16–14 | 0.08 | 22% | 18 May → | ||
| 13–5 | 0.09 | 27% | 17 May → | ||
| 13–10 | -0.03 | 28% | 17 May → | ||
| 13–10 | 0.04 | 36% | 17 May → | ||
| 12–12 | 0.02 | 20% | 16 May → | ||
| 6–13 | -0.03 | 37% | 16 May → | ||
| 13–1 | 0.24 | 35% | 16 May → | ||
| 13–4 | 0.01 | 35% | 16 May → | ||
| 9–13 | -0.02 | 42% | 15 May → | ||
| 14–16 | 0.01 | 34% | 14 May → | ||
| 13–11 | 0.07 | 22% | 14 May → | ||
| 13–9 | 0.03 | 14% | 14 May → | ||
| 13–8 | 0.02 | 23% | 14 May → | ||
| 13–11 | 0.10 | 33% | 14 May → | ||
| 11–13 | 0.08 | 39% | 13 May → | ||
| 7–13 | -0.04 | 23% | 12 May → | ||
| 13–8 | -0.00 | 21% | 10 May → | ||
| 13–10 | 0.02 | 41% | 10 May → | ||
| 16–14 | -0.03 | 16% | 9 May → | ||
| 16–13 | 0.07 | 25% | 9 May → | ||
| 13–9 | 0.02 | 26% | 6 May → | ||
| 3–13 | -0.09 | 40% | 6 May → | ||
| 9–13 | 0.01 | 28% | 4 May → | ||
| 16–14 | -0.00 | 12% | 4 May → | ||
| 13–9 | 0.07 | 17% | 3 May → | ||
| 13–6 | 0.02 | 20% | 2 May → | ||
| 16–13 | 0.05 | 18% | 2 May → | ||
| 10–13 | -0.05 | 21% | 2 May → | ||
| 13–1 | 0.09 | 29% | 2 May → | ||
| 13–5 | 0.05 | 22% | 2 May → | ||
| 13–8 | 0.00 | 31% | 1 May → |
Match data via Leetify.