0_0 — CS2 Stats
76561199290962481[U:1:1330696753]Steam profile ↗✓ No bans
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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: 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 sh1ro 92% playstyle similarity
Most alike: opening-fight frequency, 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 87 — the mechanical foundation is a clear strength.
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 69% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 586ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 18 | 4–14 | 22% | 0.04 | |
| D | 16 | 5–11 | 31% | 0.00 | |
| C | 16 | 6–10 | 38% | 0.00 | |
| B | 10 | 5–5 | 50% | 0.05 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| D | 5 | 1–4 | 20% | 0.03 | |
| D | 5 | 1–4 | 20% | 0.05 | |
| office | — | 4 | 2–2 | 50% | 0.06 |
| warden | — | 3 | 2–1 | 67% | 0.09 |
| — | 2 | 2–0 | 100% | 0.01 | |
| shelter | — | 2 | 0–2 | 0% | 0.04 |
| fachwerk | — | 2 | 1–1 | 50% | 0.01 |
| italy | — | 2 | 1–1 | 50% | 0.08 |
| alpine | — | 2 | 0–2 | 0% | -0.02 |
| — | 1 | 0–1 | 0% | 0.08 | |
| boulder | — | 1 | 0–1 | 0% | -0.01 |
| stronghold | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 362 | 55% | 1.12 | 16.7 |
| Dust2 | 239 | 48% | 1.19 | 17.5 |
| Anubis | 194 | 51% | 1.17 | 16.5 |
| Ancient | 189 | 56% | 1.18 | 16.9 |
| Inferno | 148 | 52% | 1.22 | 16.8 |
| Vertigo | 36 | 61% | 1.30 | 16.7 |
| Nuke | 35 | 51% | 1.23 | 17.6 |
| Train | 8 | 25% | 1.04 | 15.5 |
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.
- 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 0.4307 — below the 0.5 mark we flag
- 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 32.9935% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.06 | 21% | 2 Aug → | ||
| 13–4 | 0.03 | 23% | 2 Aug → | ||
| 13–10 | -0.02 | 25% | 1 Aug → | ||
| 9–13 | 0.01 | 28% | 29 Jul → | ||
| 12–12 | 0.08 | 25% | 29 Jul → | ||
| 13–9 | 0.00 | 17% | 28 Jul → | ||
| 7–13 | -0.04 | 38% | 22 Jul → | ||
| 12–16 | -0.06 | 25% | 21 Jul → | ||
| 11–13 | -0.05 | 24% | 20 Jul → | ||
| 10–13 | 0.11 | 26% | 17 Jul → | ||
| 16–14 | 0.05 | 27% | 15 Jul → | ||
| shelter | 12–12 | 0.10 | 52% | 15 Jul → | |
| 13–10 | -0.02 | 46% | 15 Jul → | ||
| 13–4 | 0.11 | 32% | 14 Jul → | ||
| 6–13 | 0.00 | 64% | 13 Jul → | ||
| 7–13 | -0.00 | 39% | 13 Jul → | ||
| office | 8–13 | 0.10 | 44% | 13 Jul → | |
| 8–13 | 0.01 | 30% | 13 Jul → | ||
| fachwerk | 7–13 | -0.02 | 58% | 11 Jul → | |
| 13–8 | 0.06 | 47% | 11 Jul → | ||
| office | 5–13 | -0.02 | 42% | 10 Jul → | |
| 0–5 | -0.05 | 100% | 10 Jul → | ||
| 13–7 | 0.08 | 17% | 10 Jul → | ||
| boulder | 3–13 | -0.01 | 44% | 10 Jul → | |
| shelter | 10–13 | -0.02 | 36% | 10 Jul → | |
| fachwerk | 12–4 | 0.04 | 43% | 10 Jul → | |
| office | 13–7 | 0.17 | 31% | 9 Jul → | |
| 13–3 | 0.14 | 35% | 8 Jul → | ||
| 12–12 | 0.07 | 24% | 8 Jul → | ||
| 11–13 | -0.01 | 32% | 7 Jul → | ||
| 10–13 | -0.01 | 35% | 7 Jul → | ||
| 2–13 | -0.08 | 20% | 7 Jul → | ||
| 9–13 | 0.08 | 43% | 6 Jul → | ||
| 3–13 | -0.10 | 27% | 5 Jul → | ||
| 10–13 | 0.03 | 24% | 27 Jun → | ||
| warden | 13–5 | 0.05 | 31% | 27 Jun → | |
| 2–13 | -0.11 | 25% | 27 Jun → | ||
| 13–5 | 0.01 | 27% | 27 Jun → | ||
| stronghold | 13–8 | 0.05 | 26% | 27 Jun → | |
| office | 13–8 | -0.02 | 37% | 26 Jun → | |
| 6–13 | -0.07 | 25% | 25 Jun → | ||
| italy | 12–12 | -0.00 | 30% | 24 Jun → | |
| 5–13 | 0.01 | 24% | 11 Jun → | ||
| 10–13 | 0.01 | 15% | 11 Jun → | ||
| 7–13 | -0.02 | 19% | 11 Jun → | ||
| 6–12 | 0.02 | 9% | 6 Jun → | ||
| 3–13 | -0.09 | 0% | 6 Jun → | ||
| 5–13 | -0.03 | 30% | 6 Jun → | ||
| 9–13 | -0.09 | 13% | 30 May → | ||
| 8–13 | 0.10 | 21% | 25 May → | ||
| 13–4 | 0.27 | 43% | 25 May → | ||
| 10–13 | 0.07 | 21% | 18 May → | ||
| 13–10 | 0.04 | 42% | 18 May → | ||
| 0–13 | -0.03 | 26% | 17 May → | ||
| italy | 13–1 | 0.16 | 56% | 17 May → | |
| 13–11 | 0.14 | 18% | 12 May → | ||
| 8–13 | 0.06 | 32% | 12 May → | ||
| 7–13 | -0.08 | 24% | 11 May → | ||
| 13–10 | 0.03 | 43% | 10 May → | ||
| 10–13 | -0.01 | 22% | 9 May → | ||
| 10–13 | 0.09 | 51% | 8 May → | ||
| 13–9 | -0.01 | 39% | 8 May → | ||
| 4–13 | 0.02 | 23% | 7 May → | ||
| 8–13 | 0.13 | 38% | 7 May → | ||
| 13–10 | 0.07 | 38% | 7 May → | ||
| 5–13 | 0.09 | 30% | 6 May → | ||
| 2–13 | 0.03 | 36% | 6 May → | ||
| 15–15 | -0.04 | 13% | 5 May → | ||
| 13–10 | 0.02 | 18% | 5 May → | ||
| 13–9 | 0.07 | 21% | 5 May → | ||
| 7–13 | 0.11 | 21% | 2 May → | ||
| 13–11 | 0.00 | 28% | 1 May → | ||
| 6–13 | 0.05 | 26% | 30 Apr → | ||
| 13–11 | 0.00 | 30% | 30 Apr → | ||
| 3–13 | -0.04 | 38% | 30 Apr → | ||
| 11–13 | 0.04 | 34% | 30 Apr → | ||
| 13–4 | 0.06 | 46% | 30 Apr → | ||
| 13–8 | 0.06 | 36% | 30 Apr → | ||
| 13–8 | 0.06 | 21% | 30 Apr → | ||
| 9–13 | 0.07 | 33% | 29 Apr → | ||
| 2–13 | 0.00 | 18% | 28 Apr → | ||
| warden | 13–5 | 0.14 | 22% | 26 Apr → | |
| alpine | 3–10 | -0.07 | 100% | 26 Apr → | |
| 13–10 | -0.02 | 17% | 26 Apr → | ||
| 13–10 | 0.08 | 35% | 26 Apr → | ||
| 13–16 | 0.06 | 24% | 25 Apr → | ||
| 3–10 | 0.06 | 22% | 25 Apr → | ||
| 1–13 | 0.04 | 38% | 24 Apr → | ||
| 16–14 | -0.03 | 24% | 24 Apr → | ||
| 8–13 | 0.05 | 17% | 23 Apr → | ||
| 7–13 | 0.04 | 40% | 23 Apr → | ||
| 12–12 | 0.04 | 33% | 23 Apr → | ||
| 13–7 | 0.05 | 30% | 23 Apr → | ||
| 3–3 | 0.22 | 18% | 23 Apr → | ||
| warden | 8–13 | 0.08 | 45% | 23 Apr → | |
| 2–13 | 0.03 | 31% | 23 Apr → | ||
| alpine | 12–12 | 0.03 | 33% | 22 Apr → | |
| 11–13 | 0.07 | 43% | 21 Apr → | ||
| 11–13 | 0.02 | 40% | 21 Apr → | ||
| 13–16 | 0.03 | 46% | 21 Apr → |
Match data via Leetify.