condom — CS2 Stats
US76561198230023196[U:1:269757468]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 40.5% | 42.5% | 44.2% | 3.7% short |
| Shot accuracy | 16.5% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.82 | 0.99 | 1.04 | 0.22 short |
| Match win rate | 41.9% | 44.2% | 45.3% | 3.4% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
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 82% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 641ms 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 4.9/10 (Developing), 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 | 28 | 17–11 | 61% | 0.04 | |
| B | 16 | 8–8 | 50% | 0.03 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| S | 12 | 8–4 | 67% | 0.05 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 3 | 0–3 | 0% | 0.02 | |
| — | 3 | 0–3 | 0% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 9). 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 60% | 1.46 | 14.3 |
| Vertigo | 7 | 71% | 1.34 | 13.7 |
| Inferno | 6 | 83% | 1.22 | 14.5 |
| Anubis | 3 | 33% | 0.94 | 13.0 |
| Dust2 | 3 | 33% | 1.44 | 14.7 |
| Ancient | 1 | 100% | 1.29 | 18.0 |
| Nuke | 1 | 0% | 1.14 | 16.0 |
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 33.8897% — 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.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.10 | 18% | 25 Aug → | ||
| 12–12 | 0.07 | 24% | 17 Nov → | ||
| 0–13 | -0.03 | 25% | 17 Nov → | ||
| 2–13 | -0.07 | 19% | 17 Nov → | ||
| 13–1 | 0.06 | 19% | 17 Nov → | ||
| 10–13 | -0.06 | 23% | 11 Nov → | ||
| 3–13 | -0.09 | 20% | 5 Nov → | ||
| 7–13 | -0.05 | 15% | 4 Nov → | ||
| 13–11 | 0.01 | 22% | 3 Nov → | ||
| 2–13 | -0.09 | 22% | 23 Dec → | ||
| 12–16 | -0.06 | 12% | 20 Dec → | ||
| 13–9 | 0.03 | 14% | 20 Dec → | ||
| 5–13 | 0.02 | 24% | 19 Dec → | ||
| 12–12 | -0.03 | 34% | 18 Dec → | ||
| 7–13 | 0.03 | 17% | 18 Dec → | ||
| 13–11 | 0.04 | 14% | 11 Dec → | ||
| 11–2 | -0.03 | 17% | 9 Dec → | ||
| 13–10 | -0.01 | 23% | 8 Dec → | ||
| 9–0 | 0.09 | 57% | 8 Dec → | ||
| 13–9 | -0.02 | 21% | 28 Nov → | ||
| 13–7 | 0.04 | 18% | 28 Nov → | ||
| 13–10 | 0.08 | 20% | 23 Nov → | ||
| 4–13 | -0.05 | 29% | 18 Nov → | ||
| 13–7 | -0.01 | 31% | 18 Nov → | ||
| 7–13 | 0.13 | 12% | 18 Nov → | ||
| 13–6 | 0.06 | 29% | 16 Nov → | ||
| 10–13 | 0.01 | 11% | 16 Nov → | ||
| 6–13 | -0.01 | 18% | 13 Nov → | ||
| 13–9 | 0.15 | 12% | 8 Nov → | ||
| 13–10 | -0.01 | 21% | 5 Nov → | ||
| 13–6 | 0.04 | 20% | 4 Nov → | ||
| 6–13 | 0.05 | 23% | 4 Nov → | ||
| 8–13 | -0.05 | 14% | 4 Nov → | ||
| 9–13 | -0.01 | 26% | 4 Nov → | ||
| 13–9 | -0.05 | 4% | 2 Nov → | ||
| 13–8 | 0.03 | 19% | 1 Nov → | ||
| 13–9 | 0.05 | 17% | 1 Nov → | ||
| 8–13 | 0.00 | 24% | 1 Nov → | ||
| 0–7 | -0.13 | 0% | 30 Oct → | ||
| 8–13 | -0.05 | 24% | 26 Oct → | ||
| 8–13 | -0.02 | 8% | 26 Oct → | ||
| 13–10 | 0.03 | 15% | 26 Oct → | ||
| 6–13 | -0.00 | 15% | 23 Oct → | ||
| 13–7 | 0.03 | 22% | 22 Oct → | ||
| 13–9 | 0.09 | 13% | 22 Oct → | ||
| 13–7 | 0.04 | 30% | 22 Oct → | ||
| 13–6 | 0.01 | 20% | 22 Oct → | ||
| 13–0 | 0.17 | 26% | 22 Oct → | ||
| 13–2 | 0.12 | 25% | 21 Oct → | ||
| 13–4 | 0.18 | 33% | 21 Oct → | ||
| 3–9 | -0.19 | 17% | 21 Oct → | ||
| 12–12 | 0.08 | 19% | 21 Oct → | ||
| 13–3 | 0.11 | 22% | 21 Oct → | ||
| 16–14 | 0.03 | 18% | 20 Oct → | ||
| 6–2 | 0.11 | 10% | 20 Oct → | ||
| 13–4 | 0.03 | 32% | 20 Oct → | ||
| 13–6 | 0.19 | 25% | 20 Oct → | ||
| 12–12 | 0.09 | 23% | 20 Oct → | ||
| 16–14 | 0.00 | 18% | 19 Oct → | ||
| 13–4 | 0.05 | 14% | 19 Oct → | ||
| 13–5 | -0.02 | 11% | 19 Oct → | ||
| 9–13 | -0.00 | 23% | 19 Oct → | ||
| 13–5 | 0.12 | 26% | 19 Oct → | ||
| 13–5 | 0.12 | 20% | 19 Oct → | ||
| 15–15 | 0.03 | 13% | 18 Oct → | ||
| 5–13 | -0.03 | 18% | 18 Oct → | ||
| 13–10 | -0.01 | 13% | 17 Oct → | ||
| 13–2 | 0.17 | 24% | 17 Oct → | ||
| 13–4 | 0.06 | 36% | 17 Oct → | ||
| 9–13 | -0.06 | 20% | 16 Oct → | ||
| 8–13 | -0.02 | 13% | 16 Oct → | ||
| 4–9 | 0.10 | 19% | 16 Oct → | ||
| 13–7 | 0.05 | 24% | 16 Oct → | ||
| 8–13 | -0.05 | 19% | 16 Oct → | ||
| 13–5 | 0.11 | 29% | 16 Oct → | ||
| 13–10 | -0.00 | 26% | 14 Oct → | ||
| 13–8 | 0.13 | 10% | 13 Oct → | ||
| 5–13 | -0.05 | 19% | 13 Oct → | ||
| 13–11 | -0.00 | 19% | 12 Oct → | ||
| 3–13 | -0.01 | 30% | 12 Oct → | ||
| 3–13 | 0.01 | 32% | 12 Oct → | ||
| 13–8 | 0.06 | 22% | 12 Oct → | ||
| 8–13 | 0.08 | 17% | 12 Oct → | ||
| 13–11 | 0.04 | 14% | 12 Oct → | ||
| 13–6 | 0.08 | 29% | 12 Oct → | ||
| 9–13 | -0.01 | 7% | 12 Oct → | ||
| 4–13 | -0.06 | 17% | 12 Oct → | ||
| 7–13 | -0.03 | 13% | 12 Oct → | ||
| 13–6 | 0.13 | 21% | 12 Oct → | ||
| 13–4 | -0.02 | 44% | 12 Oct → | ||
| 10–13 | 0.16 | 13% | 12 Oct → | ||
| 13–7 | 0.04 | 20% | 11 Oct → | ||
| 15–15 | -0.04 | 19% | 10 Oct → | ||
| 7–13 | -0.05 | 10% | 10 Oct → | ||
| 7–13 | -0.07 | 26% | 10 Oct → | ||
| 11–13 | 0.02 | 20% | 10 Oct → | ||
| 9–13 | 0.04 | 22% | 10 Oct → | ||
| 7–13 | -0.06 | 19% | 10 Oct → | ||
| 13–11 | 0.02 | 10% | 10 Oct → | ||
| 11–13 | -0.03 | 22% | 9 Oct → |
Match data via Leetify.