DELM4ŠZM — CS2 Stats
76561197977841558[U:1:17575830]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 49.7% | 52.8% |
| Shot accuracy | 18.4% | 13.7% |
| Kill/death ratio | 0.73 | 1.08 |
| Match win rate | 50.9% | 49.2% |
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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.
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 b1t 94% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.7° off target when enemies appear — placement, not flicking, is the bigger win available.
Reaction time. 576ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| D | 28 | 8–20 | 29% | 0.02 | |
| A | 23 | 14–9 | 61% | 0.04 | |
| B | 18 | 9–9 | 50% | 0.04 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.06 | |
| S | 6 | 5–1 | 83% | 0.07 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 28). Start with the 6 essential Mirage 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 29 | 62% | 1.80 | 18.7 |
| Mirage | 22 | 41% | 1.22 | 16.6 |
| Anubis | 20 | 40% | 1.30 | 18.6 |
| Ancient | 17 | 65% | 1.57 | 19.2 |
| Nuke | 13 | 85% | 2.23 | 21.8 |
| Dust2 | 11 | 64% | 1.51 | 20.7 |
| Vertigo | 3 | 67% | 1.28 | 20.3 |
| Overpass | 2 | 50% | 1.64 | 25.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.01 | 19% | 27 Aug → | ||
| 13–1 | 0.15 | 23% | 27 Aug → | ||
| 14–16 | -0.02 | 16% | 26 Aug → | ||
| 14–16 | 0.05 | 16% | 17 Aug → | ||
| 12–12 | 0.03 | 15% | 11 Aug → | ||
| 6–3 | -0.01 | 27% | 4 Aug → | ||
| 13–11 | 0.06 | 26% | 4 Aug → | ||
| 13–9 | 0.13 | 24% | 31 Jul → | ||
| 13–10 | -0.00 | 19% | 28 Jul → | ||
| 13–6 | 0.01 | 24% | 28 Jul → | ||
| 13–2 | 0.01 | 13% | 27 Jul → | ||
| 13–4 | 0.01 | 20% | 16 Jul → | ||
| 13–6 | 0.10 | 17% | 16 Jul → | ||
| 14–16 | 0.05 | 25% | 13 Jul → | ||
| 3–13 | 0.01 | 18% | 13 Jul → | ||
| 13–5 | 0.14 | 20% | 2 Jul → | ||
| 6–13 | 0.05 | 35% | 2 Jul → | ||
| 4–13 | -0.02 | 24% | 27 Jun → | ||
| 13–5 | 0.09 | 16% | 26 Jun → | ||
| 8–13 | 0.04 | 31% | 26 Jun → | ||
| 13–5 | 0.03 | 9% | 25 Jun → | ||
| 13–4 | 0.04 | 26% | 25 Jun → | ||
| 13–9 | -0.02 | 24% | 13 Jun → | ||
| 4–13 | 0.02 | 15% | 13 Jun → | ||
| 12–12 | 0.05 | 16% | 6 Jun → | ||
| 13–7 | 0.08 | 22% | 6 Jun → | ||
| 8–13 | 0.03 | 22% | 31 May → | ||
| 5–13 | -0.05 | 22% | 31 May → | ||
| 13–7 | 0.14 | 19% | 31 May → | ||
| 16–14 | 0.04 | 11% | 24 May → | ||
| 11–13 | 0.12 | 11% | 24 May → | ||
| 13–5 | 0.11 | 19% | 23 May → | ||
| 13–4 | 0.10 | 23% | 22 May → | ||
| 13–6 | 0.09 | 20% | 22 May → | ||
| 8–13 | -0.06 | 14% | 22 May → | ||
| 13–4 | 0.03 | 21% | 21 May → | ||
| 13–8 | 0.02 | 19% | 21 May → | ||
| 4–13 | 0.02 | 24% | 21 May → | ||
| 8–13 | -0.01 | 21% | 17 May → | ||
| 13–9 | 0.06 | 27% | 17 May → | ||
| 5–13 | -0.05 | 16% | 17 May → | ||
| 13–10 | 0.00 | 21% | 17 May → | ||
| 13–5 | 0.20 | 16% | 13 May → | ||
| 8–13 | 0.08 | 22% | 13 May → | ||
| 6–13 | -0.06 | 15% | 13 May → | ||
| 10–13 | -0.07 | 21% | 13 May → | ||
| 8–13 | -0.01 | 29% | 10 May → | ||
| 9–13 | 0.12 | 14% | 10 May → | ||
| 10–13 | 0.09 | 20% | 8 May → | ||
| 13–4 | -0.03 | 23% | 7 May → | ||
| 13–11 | 0.01 | 29% | 2 May → | ||
| 13–4 | 0.10 | 14% | 1 May → | ||
| 13–2 | 0.16 | 13% | 1 May → | ||
| 13–5 | 0.08 | 19% | 29 Apr → | ||
| 11–13 | 0.05 | 15% | 24 Apr → | ||
| 12–12 | 0.07 | 18% | 21 Apr → | ||
| 10–13 | 0.07 | 15% | 18 Apr → | ||
| 12–12 | 0.04 | 32% | 16 Apr → | ||
| 12–16 | -0.02 | 7% | 11 Apr → | ||
| 15–15 | 0.05 | 22% | 11 Apr → | ||
| 13–5 | -0.03 | 34% | 11 Apr → | ||
| 13–4 | 0.12 | 21% | 7 Apr → | ||
| 9–13 | 0.05 | 18% | 6 Apr → | ||
| 12–12 | -0.03 | 20% | 6 Apr → | ||
| 12–12 | 0.02 | 22% | 4 Apr → | ||
| 11–13 | -0.01 | 33% | 30 Mar → | ||
| 14–16 | -0.00 | 10% | 29 Mar → | ||
| 8–13 | -0.04 | 31% | 29 Mar → | ||
| 13–4 | 0.06 | 16% | 18 Mar → | ||
| 10–13 | -0.07 | 29% | 18 Mar → | ||
| 12–12 | 0.05 | 22% | 17 Mar → | ||
| 13–6 | 0.02 | 17% | 17 Mar → | ||
| 16–14 | 0.07 | 22% | 16 Mar → | ||
| 7–13 | 0.01 | 18% | 16 Mar → | ||
| 6–13 | -0.04 | 15% | 16 Mar → | ||
| 13–9 | 0.04 | 20% | 15 Mar → | ||
| 13–6 | 0.04 | 13% | 11 Mar → | ||
| 13–11 | 0.02 | 25% | 11 Mar → | ||
| 13–5 | 0.06 | 15% | 11 Mar → | ||
| 1–13 | -0.01 | 22% | 11 Mar → | ||
| 13–10 | -0.01 | 32% | 10 Mar → | ||
| 13–10 | 0.08 | 21% | 10 Mar → | ||
| 9–13 | 0.07 | 22% | 9 Mar → | ||
| 10–13 | 0.02 | 14% | 9 Mar → | ||
| 13–9 | 0.05 | 18% | 6 Mar → | ||
| 14–16 | -0.01 | 22% | 1 Mar → | ||
| 15–15 | -0.03 | 21% | 27 Feb → | ||
| 7–13 | 0.01 | 31% | 27 Feb → | ||
| 13–9 | 0.01 | 20% | 26 Feb → | ||
| 15–15 | 0.03 | 25% | 23 Feb → | ||
| 13–8 | 0.09 | 21% | 23 Feb → | ||
| 7–13 | 0.08 | 21% | 22 Feb → | ||
| 13–8 | 0.06 | 24% | 22 Feb → | ||
| 13–11 | 0.03 | 29% | 22 Feb → | ||
| 14–16 | 0.06 | 21% | 22 Feb → | ||
| 13–3 | 0.12 | 19% | 14 Feb → | ||
| 10–2 | -0.01 | 15% | 14 Feb → | ||
| 13–4 | 0.05 | 21% | 14 Feb → | ||
| 6–13 | -0.04 | 26% | 14 Feb → | ||
| 13–3 | 0.11 | 29% | 13 Feb → |
Match data via Leetify.