r0mBlex — CS2 Stats
76561198165606605[U:1:205340877]✓ No bans
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 | 30.5% | 49.9% |
| Shot accuracy | 13.2% | 13.4% |
| Kill/death ratio | 1.25 | 1.12 |
| Match win rate | 72.6% | 48.4% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
High utility contribution
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 80% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: lower opening-fight frequency; lower 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
Utility. Utility score of 81 — grenade impact well above the norm.
Areas to improve
Reaction time. 562ms 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 6.2/10 (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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 inferno | B | 28 | 15–13 | 54% | 0.02 |
 dust2 | B | 19 | 9–10 | 47% | 0.00 |
 nuke | B | 16 | 8–8 | 50% | 0.03 |
 anubis | C | 10 | 4–6 | 40% | 0.02 |
 train | S | 9 | 6–3 | 67% | 0.03 |
 cache | S | 6 | 4–2 | 67% | -0.01 |
 mirage | A | 5 | 3–2 | 60% | 0.02 |
 overpass | — | 4 | 2–2 | 50% | 0.01 |
 ancient | — | 3 | 1–2 | 33% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 116 | 55% | 1.37 | 16.2 |
| Anubis | 107 | 58% | 1.41 | 17.1 |
| Dust2 | 64 | 50% | 1.16 | 16.1 |
| Nuke | 60 | 57% | 1.36 | 17.1 |
| Ancient | 56 | 45% | 1.27 | 17.8 |
| Vertigo | 54 | 63% | 1.44 | 17.6 |
| Mirage | 43 | 49% | 1.14 | 15.5 |
| Train | 37 | 54% | 1.18 | 15.1 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.1093% — below the 15% 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 23.6469% — 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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–16 | 0.06 | 18% | 17 Aug → | |
| cache | 13–10 | 0.01 | 9% | 17 Aug → | |
| dust2 | 9–13 | -0.04 | 13% | 16 Aug → | |
| anubis | 7–13 | -0.04 | 17% | 16 Aug → | |
| inferno | 2–13 | -0.06 | 10% | 15 Aug → | |
| nuke | 13–11 | 0.09 | 10% | 15 Aug → | |
| dust2 | 11–13 | 0.03 | 12% | 15 Aug → | |
| cache | 13–6 | 0.01 | 19% | 7 Aug → | |
| inferno | 13–8 | -0.03 | 13% | 26 Jun → | |
| dust2 | 13–10 | -0.01 | 13% | 26 Jun → | |
| nuke | 14–16 | -0.00 | 4% | 26 Jun → | |
| mirage | 13–11 | 0.07 | 9% | 26 Jun → | |
| anubis | 13–6 | 0.02 | 9% | 26 Jun → | |
| dust2 | 11–13 | -0.00 | 10% | 13 Jun → | |
| inferno | 13–4 | 0.05 | 22% | 13 Jun → | |
| anubis | 6–13 | -0.05 | 8% | 13 Jun → | |
| inferno | 11–13 | 0.02 | 20% | 12 Jun → | |
| nuke | 13–10 | -0.02 | 6% | 8 Jun → | |
| inferno | 16–12 | 0.07 | 15% | 8 May → | |
| cache | 13–4 | -0.01 | 36% | 8 May → | |
| inferno | 13–4 | 0.05 | 10% | 8 May → | |
| anubis | 13–10 | 0.03 | 10% | 3 May → | |
| cache | 10–13 | -0.05 | 16% | 3 May → | |
| cache | 14–16 | 0.01 | 15% | 2 May → | |
| cache | 13–11 | -0.04 | 18% | 2 May → | |
| nuke | 7–13 | -0.00 | 8% | 26 Apr → | |
| inferno | 13–3 | 0.03 | 9% | 26 Apr → | |
| nuke | 13–5 | 0.05 | 12% | 26 Apr → | |
| anubis | 10–13 | 0.05 | 10% | 26 Apr → | |
| inferno | 13–7 | 0.03 | 17% | 26 Apr → | |
| nuke | 13–10 | 0.08 | 13% | 25 Apr → | |
| anubis | 13–3 | 0.02 | 17% | 13 Apr → | |
| inferno | 15–19 | -0.02 | 9% | 12 Apr → | |
| inferno | 13–2 | 0.10 | 9% | 11 Apr → | |
| inferno | 13–2 | 0.04 | 14% | 11 Apr → | |
| dust2 | 13–10 | -0.03 | 11% | 11 Apr → | |
| dust2 | 13–5 | 0.04 | 10% | 11 Apr → | |
| nuke | 13–8 | 0.10 | 20% | 4 Apr → | |
| dust2 | 9–13 | 0.03 | 18% | 4 Apr → | |
| nuke | 11–13 | -0.02 | 12% | 28 Mar → | |
| anubis | 4–13 | -0.01 | 18% | 15 Mar → | |
| inferno | 13–10 | 0.01 | 11% | 15 Mar → | |
| dust2 | 13–10 | 0.04 | 15% | 14 Mar → | |
| nuke | 15–15 | -0.04 | 20% | 14 Mar → | |
| mirage | 13–2 | 0.09 | 10% | 14 Mar → | |
| overpass | 14–16 | 0.02 | 21% | 8 Mar → | |
| ancient | 16–13 | -0.02 | 13% | 8 Mar → | |
| anubis | 13–3 | 0.11 | 9% | 24 Jan → | |
| anubis | 11–13 | 0.00 | 14% | 24 Jan → | |
| inferno | 8–8 | -0.03 | 12% | 30 Dec → | |
| inferno | 9–1 | 0.24 | 8% | 30 Dec → | |
| inferno | 9–7 | -0.13 | 3% | 29 Dec → | |
| inferno | 11–13 | -0.03 | 8% | 29 Dec → | |
| ancient | 11–13 | 0.00 | 12% | 20 Dec → | |
| dust2 | 10–13 | -0.00 | 12% | 20 Dec → | |
| nuke | 9–13 | 0.02 | 30% | 20 Dec → | |
| inferno | 10–13 | 0.04 | 10% | 19 Dec → | |
| dust2 | 13–4 | -0.02 | 8% | 19 Dec → | |
| train | 9–13 | -0.00 | 12% | 19 Dec → | |
| nuke | 13–11 | 0.06 | 5% | 19 Dec → | |
| mirage | 4–13 | -0.04 | 8% | 19 Dec → | |
| inferno | 5–13 | 0.02 | 17% | 19 Dec → | |
| inferno | 17–19 | -0.00 | 9% | 19 Dec → | |
| mirage | 11–13 | -0.05 | 7% | 16 Dec → | |
| inferno | 13–9 | 0.02 | 10% | 16 Dec → | |
| nuke | 13–9 | 0.07 | 6% | 16 Dec → | |
| train | 6–13 | 0.04 | 18% | 16 Dec → | |
| dust2 | 13–11 | 0.05 | 17% | 15 Dec → | |
| train | 13–9 | 0.04 | 11% | 15 Dec → | |
| inferno | 13–16 | -0.02 | 22% | 15 Dec → | |
| dust2 | 13–6 | -0.03 | 11% | 15 Dec → | |
| overpass | 11–13 | -0.01 | 11% | 12 Dec → | |
| nuke | 8–13 | 0.01 | 8% | 12 Dec → | |
| dust2 | 7–13 | -0.06 | 29% | 12 Dec → | |
| dust2 | 2–13 | -0.11 | 4% | 11 Dec → | |
| inferno | 10–13 | 0.02 | 11% | 11 Dec → | |
| inferno | 13–6 | -0.00 | 14% | 11 Dec → | |
| inferno | 11–13 | 0.03 | 13% | 11 Dec → | |
| train | 16–13 | -0.01 | 20% | 11 Dec → | |
| inferno | 11–13 | -0.01 | 9% | 10 Dec → | |
| train | 13–4 | -0.00 | 21% | 10 Dec → | |
| inferno | 13–7 | 0.02 | 13% | 10 Dec → | |
| mirage | 13–8 | 0.04 | 14% | 10 Dec → | |
| train | 13–1 | 0.04 | 4% | 10 Dec → | |
| dust2 | 11–13 | -0.04 | 8% | 10 Dec → | |
| dust2 | 13–2 | 0.17 | 15% | 10 Dec → | |
| ancient | 10–13 | 0.03 | 11% | 8 Dec → | |
| dust2 | 13–2 | -0.00 | 5% | 8 Dec → | |
| inferno | 13–6 | -0.01 | 22% | 8 Dec → | |
| nuke | 8–13 | 0.04 | 7% | 8 Dec → | |
| train | 13–3 | 0.09 | 12% | 7 Dec → | |
| nuke | 8–13 | -0.04 | 20% | 7 Dec → | |
| nuke | 13–3 | 0.08 | 18% | 6 Dec → | |
| overpass | 13–11 | 0.05 | 15% | 6 Dec → | |
| dust2 | 4–13 | -0.00 | 15% | 6 Dec → | |
| overpass | 13–8 | -0.01 | 13% | 6 Dec → | |
| inferno | 15–15 | 0.01 | 11% | 5 Dec → | |
| train | 10–13 | 0.05 | 11% | 5 Dec → | |
| dust2 | 13–16 | 0.02 | 10% | 5 Dec → | |
| train | 13–8 | 0.03 | 15% | 5 Dec → |
Match data via Leetify.