try — CS2 Stats
PRO“飕飕^^”LegacyArgentinaAWPerSettings & gear profile →
AR76561198365118288[U:1:404852560]Steam profile ↗
Rating over time
Faceit ELO
- At peak — 3,406
- Next: 3,500 ELO at 3,500 — 94 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
- 3,000 ELO first seen 2026-08-28
- 2,500 ELO first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 98% playstyle similarity
Most alike: utility contribution, 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
Strengths
Aim. Aim score of 100 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.
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 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
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 8.5/10 (Elite), 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 | 22 | 16–6 | 73% | 0.04 | |
| B | 22 | 10–12 | 45% | 0.02 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| S | 13 | 9–4 | 69% | 0.04 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| C | 8 | 3–5 | 38% | 0.01 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 581 | 57% | 1.58 | 21.6 |
| Dust2 | 176 | 75% | 1.79 | 20.6 |
| Anubis | 162 | 59% | 1.60 | 20.4 |
| Nuke | 107 | 63% | 1.61 | 19.9 |
| Ancient | 81 | 57% | 1.55 | 18.7 |
| Inferno | 54 | 63% | 1.69 | 18.6 |
| Overpass | 22 | 50% | 1.54 | 20.2 |
| Vertigo | 19 | 21% | 1.39 | 21.8 |
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 37.0389% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.09 | 19% | 27 Aug → | ||
| 13–11 | 0.04 | 25% | 27 Aug → | ||
| 13–9 | 0.08 | 35% | 23 Aug → | ||
| 13–9 | 0.03 | 20% | 23 Aug → | ||
| 9–13 | 0.01 | 38% | 23 Aug → | ||
| 7–13 | 0.00 | 32% | 22 Aug → | ||
| 9–13 | 0.08 | 21% | 22 Aug → | ||
| 13–7 | 0.03 | 26% | 21 Aug → | ||
| 13–10 | 0.08 | 48% | 21 Aug → | ||
| 13–2 | 0.00 | 25% | 20 Aug → | ||
| 13–9 | 0.06 | 30% | 20 Aug → | ||
| 13–11 | -0.00 | 23% | 16 Aug → | ||
| 13–8 | 0.10 | 26% | 16 Aug → | ||
| 13–4 | 0.03 | 23% | 14 Aug → | ||
| 8–13 | 0.05 | 35% | 13 Aug → | ||
| 6–13 | 0.01 | 17% | 13 Aug → | ||
| 13–5 | 0.03 | 21% | 12 Aug → | ||
| 13–8 | 0.01 | 17% | 11 Aug → | ||
| 13–10 | 0.13 | 40% | 9 Jul → | ||
| 13–3 | 0.07 | 43% | 9 Jul → | ||
| 16–12 | 0.09 | 24% | 11 Jun → | ||
| 13–5 | 0.09 | 33% | 3 Jun → | ||
| 13–9 | 0.06 | 32% | 3 Jun → | ||
| 13–4 | 0.02 | 19% | 26 May → | ||
| 13–10 | 0.16 | 35% | 22 May → | ||
| 8–3 | 0.03 | 0% | 13 May → | ||
| 8–13 | -0.03 | 21% | 13 May → | ||
| 9–13 | 0.00 | 19% | 13 May → | ||
| 4–6 | -0.04 | 38% | 13 May → | ||
| 4–13 | -0.06 | 25% | 11 May → | ||
| 13–16 | -0.01 | 32% | 11 May → | ||
| 10–13 | 0.06 | 31% | 11 May → | ||
| 9–13 | -0.01 | 23% | 30 Apr → | ||
| 13–9 | 0.10 | 42% | 30 Apr → | ||
| 10–13 | 0.04 | 29% | 30 Apr → | ||
| 13–2 | 0.04 | 17% | 29 Apr → | ||
| 13–2 | 0.09 | 11% | 26 Apr → | ||
| 13–5 | 0.10 | 38% | 26 Apr → | ||
| 8–13 | -0.01 | 22% | 26 Apr → | ||
| 2–13 | -0.03 | 42% | 26 Apr → | ||
| 16–14 | 0.08 | 50% | 26 Apr → | ||
| 13–11 | 0.02 | 23% | 26 Apr → | ||
| 9–13 | -0.03 | 33% | 26 Apr → | ||
| 13–4 | -0.05 | 17% | 26 Apr → | ||
| 13–3 | 0.10 | 25% | 25 Apr → | ||
| 13–0 | 0.09 | 50% | 25 Apr → | ||
| 11–13 | -0.00 | 22% | 25 Apr → | ||
| 10–13 | -0.00 | 17% | 25 Apr → | ||
| 13–11 | 0.00 | 26% | 25 Apr → | ||
| 13–4 | 0.10 | 0% | 25 Apr → | ||
| 9–13 | -0.03 | 19% | 14 Apr → | ||
| 3–13 | 0.02 | 16% | 14 Apr → | ||
| 7–13 | 0.05 | 18% | 13 Apr → | ||
| 3–13 | 0.01 | 8% | 13 Apr → | ||
| 13–11 | 0.00 | 19% | 6 Apr → | ||
| 9–13 | 0.02 | 19% | 5 Apr → | ||
| 9–13 | -0.04 | 22% | 5 Apr → | ||
| 13–11 | 0.01 | 19% | 5 Apr → | ||
| 16–13 | 0.03 | 24% | 5 Apr → | ||
| 13–6 | 0.07 | 15% | 5 Apr → | ||
| 13–3 | 0.09 | 30% | 4 Apr → | ||
| 13–4 | 0.07 | 21% | 4 Apr → | ||
| 25–23 | 0.04 | 10% | 4 Apr → | ||
| 13–10 | 0.05 | 13% | 4 Apr → | ||
| 8–13 | 0.01 | 15% | 4 Apr → | ||
| 13–10 | -0.03 | 31% | 2 Apr → | ||
| 13–3 | 0.03 | 28% | 2 Apr → | ||
| 13–9 | -0.04 | 16% | 1 Apr → | ||
| 16–14 | 0.00 | 30% | 1 Apr → | ||
| 8–13 | -0.03 | 24% | 31 Mar → | ||
| 12–16 | -0.04 | 23% | 31 Mar → | ||
| 13–10 | -0.00 | 6% | 31 Mar → | ||
| 16–14 | 0.04 | 42% | 31 Mar → | ||
| 12–16 | -0.03 | 42% | 31 Mar → | ||
| 13–9 | 0.10 | 40% | 30 Mar → | ||
| 13–8 | 0.06 | 29% | 30 Mar → | ||
| 9–13 | 0.01 | 28% | 30 Mar → | ||
| 3–13 | -0.05 | 26% | 24 Mar → | ||
| 13–6 | -0.01 | 21% | 24 Mar → | ||
| 11–13 | 0.06 | 41% | 24 Mar → | ||
| 11–13 | -0.01 | 18% | 24 Mar → | ||
| 13–7 | 0.19 | 40% | 16 Mar → | ||
| 13–10 | 0.14 | 50% | 16 Mar → | ||
| 5–9 | -0.03 | 21% | 12 Mar → | ||
| 13–8 | 0.01 | 24% | 7 Mar → | ||
| 2–13 | -0.05 | 11% | 5 Mar → | ||
| 8–13 | 0.01 | 24% | 5 Mar → | ||
| 13–7 | 0.06 | 21% | 4 Mar → | ||
| 8–6 | -0.01 | 33% | 4 Mar → | ||
| 5–13 | -0.07 | 20% | 4 Mar → | ||
| 1–6 | -0.01 | 18% | 4 Mar → | ||
| 9–13 | -0.00 | 24% | 3 Mar → | ||
| 7–10 | -0.04 | 25% | 3 Mar → | ||
| 4–2 | 0.07 | 20% | 3 Mar → | ||
| 11–13 | 0.00 | 50% | 2 Mar → | ||
| 7–13 | 0.07 | 18% | 2 Mar → | ||
| 13–10 | -0.05 | 21% | 2 Mar → | ||
| 19–15 | 0.04 | 11% | 1 Mar → | ||
| 6–6 | 0.01 | 50% | 1 Mar → | ||
| 7–2 | 0.04 | 17% | 1 Mar → |
Match data via Leetify.
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