Steelnex — CS2 Stats
NO76561197995196395[U:1:34930667]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 14 May 2026 (132 days ago). Ranks are recorded once per day this page is viewed.
No change since then. Play, then come back: the next observation lands here.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 23 days played since 4 Apr 2026. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 2,536
- Next: 3,000 ELO at 3,000 — 464 to go
- Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
Premier CS Rating
- 1,938 below peak (30,527)
- -1,531 over 30 days · declining
- Next: Gold band at 30,000 — 1,411 to go
- Reached: Gold band · Red band · Pink band · Purple band
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
Share this profile
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −5.1pp headshot accuracy · +2ms reaction
Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 3–2 · 60% win rate
- Avg rating 0.05
- Avg headshot accuracy 12%
- Avg reaction 519ms
Last 10
- 5–5 · 50% win rate
- Avg rating 0.02
- Avg headshot accuracy 13%
- Avg reaction 501ms
Last 20
- 8–11–1 · 40% win rate
- Avg rating 0.02
- Avg headshot accuracy 16%
- Avg reaction 500ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like donk 92% playstyle similarity
Most alike: utility contribution, aim profile.
Where you differ: lower positioning profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.5/10 (Solid), 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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 dust2 | B | 41 | 20–21 | 49% | 0.02 |
 anubis | S | 17 | 12–5 | 71% | 0.03 |
 nuke | C | 14 | 6–8 | 43% | 0.04 |
 cache | B | 13 | 7–6 | 54% | 0.05 |
 overpass | S | 11 | 8–3 | 73% | 0.06 |
 ancient | — | 2 | 1–1 | 50% | 0.03 |
 mirage | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 55 | 49% | 1.41 | 19.2 |
| Anubis | 28 | 79% | 1.68 | 19.8 |
| Nuke | 26 | 58% | 1.44 | 18.6 |
| Overpass | 18 | 67% | 1.57 | 19.3 |
| Train | 10 | 80% | 1.44 | 18.7 |
| Cache | 6 | 50% | 1.49 | 20.8 |
| Inferno | 5 | 40% | 1.36 | 15.8 |
| Vertigo | 3 | 67% | 1.45 | 19.3 |
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 0.4804 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 4–13 | -0.05 | 12% | 16 May → | |
| dust2 | 13–11 | 0.08 | 17% | 16 May → | |
| anubis | 13–1 | 0.04 | 11% | 15 May → | |
| cache | 13–1 | 0.13 | 11% | 15 May → | |
| dust2 | 14–16 | 0.03 | 11% | 15 May → | |
| dust2 | 10–13 | -0.03 | 16% | 15 May → | |
| nuke | 13–10 | 0.06 | 14% | 14 May → | |
| anubis | 16–13 | 0.04 | 18% | 14 May → | |
| dust2 | 11–13 | 0.05 | 12% | 14 May → | |
| anubis | 0–5 | -0.13 | 8% | 14 May → | |
| overpass | 13–7 | 0.06 | 16% | 14 May → | |
| cache | 13–10 | 0.07 | 21% | 14 May → | |
| ancient | 15–15 | -0.01 | 15% | 14 May → | |
| mirage | 2–13 | -0.04 | 29% | 13 May → | |
| alpine | 11–13 | 0.05 | 17% | 13 May → | |
| dust2 | 2–13 | -0.03 | 15% | 13 May → | |
| overpass | 13–16 | -0.02 | 25% | 13 May → | |
| cache | 7–13 | 0.00 | 11% | 13 May → | |
| dust2 | 13–11 | 0.06 | 12% | 12 May → | |
| anubis | 11–13 | 0.00 | 21% | 12 May → | |
| anubis | 13–8 | 0.08 | 9% | 3 May → | |
| dust2 | 7–13 | 0.06 | 16% | 3 May → | |
| anubis | 11–13 | 0.01 | 23% | 3 May → | |
| cache | 7–13 | -0.02 | 11% | 3 May → | |
| overpass | 10–13 | 0.05 | 19% | 3 May → | |
| cache | 20–22 | 0.01 | 12% | 2 May → | |
| nuke | 11–13 | -0.01 | 27% | 2 May → | |
| anubis | 10–13 | -0.02 | 19% | 2 May → | |
| cache | 8–13 | 0.04 | 13% | 2 May → | |
| nuke | 9–13 | 0.01 | 18% | 1 May → | |
| dust2 | 13–6 | 0.06 | 38% | 1 May → | |
| anubis | 13–7 | 0.09 | 16% | 1 May → | |
| dust2 | 11–13 | -0.01 | 21% | 1 May → | |
| cache | 13–2 | 0.15 | 17% | 1 May → | |
| nuke | 2–9 | -0.04 | 21% | 1 May → | |
| ancient | 13–5 | 0.07 | 14% | 1 May → | |
| cache | 9–13 | -0.01 | 18% | 1 May → | |
| dust2 | 8–13 | 0.03 | 19% | 1 May → | |
| dust2 | 11–13 | -0.04 | 11% | 1 May → | |
| dust2 | 4–13 | -0.03 | 17% | 30 Apr → | |
| dust2 | 9–13 | -0.03 | 15% | 30 Apr → | |
| cache | 13–10 | 0.11 | 23% | 30 Apr → | |
| overpass | 13–7 | 0.08 | 27% | 30 Apr → | |
| anubis | 13–9 | 0.05 | 18% | 30 Apr → | |
| cache | 13–8 | -0.00 | 16% | 30 Apr → | |
| dust2 | 13–5 | 0.04 | 12% | 29 Apr → | |
| anubis | 13–8 | 0.01 | 14% | 29 Apr → | |
| nuke | 8–13 | 0.04 | 32% | 29 Apr → | |
| cache | 13–1 | 0.17 | 21% | 29 Apr → | |
| overpass | 13–8 | 0.02 | 15% | 28 Apr → | |
| nuke | 13–11 | 0.03 | 18% | 28 Apr → | |
| dust2 | 2–13 | -0.00 | 9% | 28 Apr → | |
| dust2 | 10–13 | -0.02 | 18% | 28 Apr → | |
| anubis | 11–13 | 0.01 | 18% | 27 Apr → | |
| dust2 | 13–9 | -0.00 | 19% | 27 Apr → | |
| overpass | 13–9 | 0.14 | 14% | 26 Apr → | |
| dust2 | 16–14 | -0.01 | 21% | 26 Apr → | |
| nuke | 5–13 | 0.08 | 25% | 26 Apr → | |
| dust2 | 13–8 | 0.09 | 23% | 26 Apr → | |
| cache | 13–11 | 0.09 | 27% | 26 Apr → | |
| dust2 | 11–13 | 0.01 | 15% | 25 Apr → | |
| dust2 | 11–13 | 0.01 | 12% | 25 Apr → | |
| anubis | 13–9 | 0.08 | 14% | 25 Apr → | |
| dust2 | 13–4 | -0.00 | 5% | 25 Apr → | |
| nuke | 6–13 | -0.04 | 20% | 25 Apr → | |
| anubis | 13–6 | 0.07 | 17% | 25 Apr → | |
| dust2 | 9–13 | 0.08 | 16% | 25 Apr → | |
| dust2 | 13–16 | 0.03 | 12% | 25 Apr → | |
| nuke | 13–9 | 0.11 | 16% | 24 Apr → | |
| dust2 | 12–12 | 0.04 | 15% | 22 Apr → | |
| dust2 | 13–8 | 0.06 | 26% | 21 Apr → | |
| dust2 | 13–6 | 0.11 | 22% | 21 Apr → | |
| dust2 | 13–3 | 0.01 | 18% | 20 Apr → | |
| anubis | 13–8 | 0.07 | 29% | 19 Apr → | |
| dust2 | 9–13 | 0.03 | 17% | 19 Apr → | |
| dust2 | 7–13 | -0.06 | 12% | 17 Apr → | |
| anubis | 13–4 | 0.01 | 12% | 17 Apr → | |
| anubis | 13–11 | 0.08 | 13% | 17 Apr → | |
| overpass | 13–10 | 0.10 | 17% | 17 Apr → | |
| nuke | 13–8 | 0.07 | 24% | 17 Apr → | |
| dust2 | 13–9 | -0.04 | 19% | 17 Apr → | |
| dust2 | 13–10 | 0.03 | 12% | 17 Apr → | |
| overpass | 13–2 | 0.01 | 0% | 17 Apr → | |
| dust2 | 13–11 | -0.01 | 16% | 6 Apr → | |
| nuke | 14–16 | 0.01 | 20% | 6 Apr → | |
| dust2 | 13–8 | 0.01 | 18% | 5 Apr → | |
| dust2 | 13–6 | 0.07 | 30% | 5 Apr → | |
| nuke | 13–5 | 0.05 | 12% | 5 Apr → | |
| overpass | 11–13 | 0.06 | 14% | 5 Apr → | |
| dust2 | 0–4 | -0.11 | 0% | 5 Apr → | |
| anubis | 13–7 | 0.09 | 13% | 5 Apr → | |
| overpass | 13–8 | 0.04 | 9% | 5 Apr → | |
| dust2 | 16–14 | 0.05 | 14% | 4 Apr → | |
| overpass | 13–11 | 0.07 | 10% | 4 Apr → | |
| nuke | 13–8 | 0.13 | 18% | 4 Apr → | |
| dust2 | 16–13 | -0.01 | 19% | 4 Apr → | |
| dust2 | 13–4 | 0.09 | 36% | 4 Apr → | |
| dust2 | 8–13 | 0.01 | 19% | 4 Apr → | |
| dust2 | 13–7 | -0.01 | 14% | 4 Apr → | |
| nuke | 10–13 | 0.07 | 17% | 4 Apr → |
Match data via Leetify.
