Steezy — CS2 Stats
76561199024998675[U:1:1064732947]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,001
- Next: 2,500 ELO at 2,500 — 499 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-30
- Level 9 first seen 2026-08-30
Premier CS Rating
- At peak — 18,232
- Next: Pink band at 20,000 — 1,768 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-30
- Blue band first seen 2026-08-30
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
Share this profile
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 91% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower 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 85 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
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 6.7/10 (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 |
|---|---|---|---|---|---|
| A | 27 | 15–12 | 56% | -0.01 | |
| S | 24 | 18–6 | 75% | 0.01 | |
| A | 12 | 7–5 | 58% | -0.02 | |
| S | 11 | 8–3 | 73% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.03 | |
| S | 6 | 5–1 | 83% | 0.04 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| office | — | 3 | 2–1 | 67% | 0.01 |
| — | 1 | 0–1 | 0% | -0.07 | |
| italy | — | 1 | 0–1 | 0% | 0.01 |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 536 | 52% | 1.08 | 15.6 |
| Dust2 | 338 | 52% | 1.08 | 15.0 |
| Ancient | 271 | 59% | 1.09 | 15.3 |
| Anubis | 151 | 54% | 0.97 | 14.3 |
| Nuke | 109 | 55% | 1.12 | 16.0 |
| Inferno | 75 | 52% | 0.96 | 13.9 |
| Overpass | 47 | 51% | 1.18 | 16.0 |
| Train | 46 | 61% | 1.07 | 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.
- 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 32.18% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.02 | 32% | 20 Aug → | ||
| 16–14 | -0.03 | 24% | 19 Aug → | ||
| 13–5 | 0.10 | 23% | 18 Aug → | ||
| 13–11 | -0.01 | 22% | 18 Aug → | ||
| 13–10 | -0.03 | 34% | 11 Aug → | ||
| 13–11 | 0.03 | 25% | 8 Aug → | ||
| 10–13 | -0.03 | 14% | 8 Aug → | ||
| 13–10 | -0.00 | 30% | 8 Aug → | ||
| 15–19 | -0.02 | 20% | 7 Aug → | ||
| 3–13 | -0.01 | 30% | 6 Aug → | ||
| 13–8 | -0.02 | 22% | 6 Aug → | ||
| 14–16 | -0.04 | 17% | 6 Aug → | ||
| 13–11 | -0.03 | 13% | 6 Aug → | ||
| 14–16 | -0.06 | 27% | 6 Aug → | ||
| 8–13 | -0.06 | 13% | 6 Aug → | ||
| 13–11 | 0.05 | 22% | 5 Aug → | ||
| 13–7 | -0.04 | 25% | 5 Aug → | ||
| 13–9 | -0.04 | 17% | 4 Aug → | ||
| 13–11 | -0.04 | 21% | 4 Aug → | ||
| 6–13 | -0.02 | 25% | 3 Aug → | ||
| 7–13 | -0.05 | 14% | 3 Aug → | ||
| 13–11 | 0.02 | 20% | 30 Jul → | ||
| 11–13 | -0.06 | 25% | 28 Jul → | ||
| 13–7 | 0.04 | 14% | 27 Jul → | ||
| 13–7 | -0.02 | 17% | 27 Jul → | ||
| 5–13 | -0.04 | 31% | 27 Jul → | ||
| 13–10 | -0.02 | 13% | 27 Jul → | ||
| 13–5 | 0.13 | 28% | 23 Jul → | ||
| 13–4 | 0.05 | 31% | 23 Jul → | ||
| 12–16 | -0.01 | 34% | 22 Jul → | ||
| 13–10 | -0.03 | 27% | 21 Jul → | ||
| 13–8 | 0.03 | 18% | 21 Jul → | ||
| 13–8 | 0.06 | 33% | 20 Jul → | ||
| 14–16 | -0.02 | 17% | 20 Jul → | ||
| 13–11 | -0.01 | 26% | 16 Jul → | ||
| 11–13 | 0.03 | 38% | 16 Jul → | ||
| 2–13 | -0.05 | 50% | 13 Jul → | ||
| 13–5 | 0.04 | 35% | 8 Jul → | ||
| 3–13 | -0.06 | 29% | 8 Jul → | ||
| 13–8 | -0.03 | 26% | 8 Jul → | ||
| 13–5 | 0.00 | 23% | 8 Jul → | ||
| 8–13 | -0.02 | 29% | 8 Jul → | ||
| 12–12 | -0.01 | 32% | 7 Jul → | ||
| 12–12 | -0.02 | 22% | 7 Jul → | ||
| 9–3 | 0.17 | 14% | 7 Jul → | ||
| 13–10 | 0.01 | 24% | 4 Jul → | ||
| 13–3 | -0.01 | 23% | 4 Jul → | ||
| 13–7 | -0.01 | 34% | 2 Jul → | ||
| 11–13 | -0.02 | 24% | 30 Jun → | ||
| 13–6 | 0.01 | 26% | 28 Jun → | ||
| 13–2 | -0.06 | 15% | 27 Jun → | ||
| 13–1 | 0.05 | 21% | 27 Jun → | ||
| 13–7 | -0.00 | 36% | 27 Jun → | ||
| 9–3 | 0.04 | 12% | 24 Jun → | ||
| 9–3 | 0.03 | 35% | 24 Jun → | ||
| 9–2 | 0.23 | 31% | 24 Jun → | ||
| 13–8 | 0.07 | 26% | 24 Jun → | ||
| 13–11 | -0.00 | 24% | 23 Jun → | ||
| 10–13 | 0.02 | 19% | 20 Jun → | ||
| 1–13 | -0.07 | 23% | 17 Jun → | ||
| 13–3 | 0.06 | 29% | 16 Jun → | ||
| 13–8 | -0.02 | 22% | 11 Jun → | ||
| 7–13 | -0.01 | 20% | 10 Jun → | ||
| 7–13 | -0.06 | 14% | 6 Jun → | ||
| 13–9 | -0.04 | 25% | 6 Jun → | ||
| 13–9 | 0.05 | 24% | 1 Jun → | ||
| 13–11 | 0.01 | 24% | 30 May → | ||
| 13–11 | -0.01 | 38% | 27 May → | ||
| 13–6 | -0.04 | 44% | 22 May → | ||
| 7–0 | -0.03 | 43% | 20 May → | ||
| 16–14 | -0.02 | 26% | 20 May → | ||
| 13–5 | -0.00 | 22% | 18 May → | ||
| 13–9 | 0.06 | 34% | 15 May → | ||
| 11–13 | 0.01 | 18% | 14 May → | ||
| 9–13 | -0.03 | 20% | 13 May → | ||
| office | 9–13 | 0.01 | 63% | 13 May → | |
| office | 13–11 | 0.02 | 85% | 13 May → | |
| 3–13 | -0.03 | 17% | 11 May → | ||
| 13–5 | 0.07 | 37% | 8 May → | ||
| 9–13 | 0.04 | 17% | 8 May → | ||
| office | 13–10 | -0.00 | 91% | 6 May → | |
| italy | 5–13 | 0.01 | 93% | 6 May → | |
| 13–11 | -0.02 | 95% | 6 May → | ||
| 0–13 | -0.02 | 33% | 6 May → | ||
| 9–13 | -0.05 | 10% | 5 May → | ||
| 13–4 | 0.06 | 34% | 3 May → | ||
| 9–13 | 0.03 | 28% | 2 May → | ||
| 3–13 | -0.04 | 10% | 2 May → | ||
| 13–5 | -0.01 | 32% | 30 Apr → | ||
| 16–14 | -0.03 | 28% | 29 Apr → | ||
| 13–11 | -0.04 | 16% | 26 Apr → | ||
| 10–13 | -0.07 | 19% | 23 Apr → | ||
| 9–13 | -0.05 | 26% | 23 Mar → | ||
| 5–13 | 0.05 | 15% | 22 Mar → | ||
| 13–9 | 0.02 | 26% | 21 Mar → | ||
| 16–14 | 0.05 | 27% | 21 Mar → | ||
| 8–13 | -0.12 | 21% | 19 Mar → | ||
| 13–7 | 0.05 | 29% | 18 Mar → | ||
| 6–13 | -0.04 | 19% | 17 Mar → | ||
| 13–6 | 0.00 | 31% | 15 Mar → |
Match data via Leetify.