adm — CS2 Stats
76561198327869689[U:1:367603961]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 58.9% | 48.1% |
| Shot accuracy | 13.7% | 12.9% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 49.3% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 donk 93% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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
CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 63% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms 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 (×1.02 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 |
|---|---|---|---|---|---|
| B | 28 | 14–14 | 50% | 0.03 | |
| A | 27 | 16–11 | 59% | 0.02 | |
| B | 17 | 8–9 | 47% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| D | 6 | 0–6 | 0% | 0.03 | |
| office | — | 3 | 1–2 | 33% | -0.01 |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Ancient 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 resultsLWWWL
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 32.8466% — 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.
0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.03 | 30% | 28 Aug → | ||
| 13–11 | 0.08 | 22% | 28 Aug → | ||
| 13–9 | -0.01 | 12% | 28 Aug → | ||
| 13–8 | 0.10 | 26% | 28 Aug → | ||
| 13–11 | -0.04 | 14% | 27 Aug → | ||
| 13–10 | 0.01 | 27% | 27 Aug → | ||
| 7–13 | 0.01 | 16% | 27 Aug → | ||
| 7–13 | 0.02 | 26% | 27 Aug → | ||
| 12–16 | 0.03 | 24% | 27 Aug → | ||
| 7–13 | -0.01 | 14% | 27 Aug → | ||
| 8–13 | 0.07 | 27% | 27 Aug → | ||
| 13–8 | 0.20 | 20% | 27 Aug → | ||
| office | 4–13 | -0.06 | 15% | 26 Aug → | |
| 16–13 | 0.05 | 24% | 26 Aug → | ||
| 5–13 | 0.00 | 15% | 26 Aug → | ||
| 13–9 | 0.01 | 21% | 26 Aug → | ||
| 13–10 | 0.04 | 7% | 26 Aug → | ||
| 13–9 | 0.08 | 20% | 26 Aug → | ||
| 13–5 | 0.07 | 21% | 25 Aug → | ||
| 13–8 | 0.08 | 11% | 25 Aug → | ||
| 15–15 | -0.02 | 22% | 25 Aug → | ||
| 14–16 | -0.01 | 25% | 24 Aug → | ||
| 9–13 | 0.04 | 25% | 24 Aug → | ||
| 15–15 | 0.03 | 17% | 24 Aug → | ||
| 13–4 | 0.08 | 22% | 24 Aug → | ||
| 11–13 | 0.00 | 13% | 24 Aug → | ||
| 13–9 | 0.05 | 15% | 23 Aug → | ||
| 11–13 | -0.05 | 21% | 23 Aug → | ||
| 13–5 | 0.03 | 16% | 23 Aug → | ||
| 10–13 | 0.02 | 20% | 22 Aug → | ||
| 6–13 | -0.02 | 20% | 21 Aug → | ||
| 13–6 | 0.15 | 24% | 21 Aug → | ||
| 16–13 | -0.01 | 17% | 20 Aug → | ||
| 13–7 | -0.05 | 25% | 20 Aug → | ||
| 10–13 | -0.05 | 13% | 20 Aug → | ||
| 10–13 | -0.03 | 24% | 20 Aug → | ||
| 8–13 | 0.07 | 18% | 20 Aug → | ||
| 13–9 | 0.00 | 17% | 19 Aug → | ||
| 13–10 | -0.02 | 23% | 19 Aug → | ||
| 11–13 | -0.03 | 19% | 19 Aug → | ||
| 3–13 | -0.00 | 17% | 19 Aug → | ||
| 13–8 | 0.05 | 15% | 19 Aug → | ||
| 7–13 | -0.02 | 21% | 19 Aug → | ||
| 10–13 | 0.07 | 24% | 19 Aug → | ||
| 13–4 | 0.06 | 16% | 19 Aug → | ||
| 13–5 | 0.02 | 17% | 19 Aug → | ||
| 13–4 | 0.06 | 22% | 19 Aug → | ||
| 3–13 | -0.07 | 24% | 19 Aug → | ||
| 4–13 | -0.03 | 20% | 19 Aug → | ||
| 13–4 | -0.05 | 9% | 19 Aug → | ||
| 10–13 | -0.06 | 20% | 19 Aug → | ||
| 13–6 | 0.04 | 8% | 19 Aug → | ||
| 13–7 | 0.04 | 17% | 18 Aug → | ||
| 13–3 | 0.01 | 37% | 18 Aug → | ||
| 13–10 | 0.09 | 16% | 17 Aug → | ||
| 5–13 | 0.01 | 25% | 17 Aug → | ||
| 10–13 | 0.03 | 20% | 17 Aug → | ||
| 13–10 | 0.15 | 25% | 17 Aug → | ||
| 11–13 | 0.03 | 13% | 17 Aug → | ||
| 5–9 | -0.05 | 19% | 17 Aug → | ||
| 11–13 | -0.01 | 17% | 17 Aug → | ||
| 7–13 | 0.01 | 16% | 17 Aug → | ||
| 16–13 | -0.01 | 17% | 17 Aug → | ||
| 13–11 | 0.06 | 21% | 17 Aug → | ||
| 6–13 | -0.04 | 17% | 16 Aug → | ||
| 13–8 | 0.04 | 18% | 16 Aug → | ||
| 13–9 | 0.09 | 16% | 16 Aug → | ||
| 7–13 | -0.04 | 17% | 15 Aug → | ||
| 15–15 | -0.05 | 19% | 15 Aug → | ||
| 7–13 | -0.06 | 19% | 15 Aug → | ||
| 11–13 | 0.04 | 19% | 15 Aug → | ||
| 8–13 | 0.01 | 34% | 15 Aug → | ||
| 13–11 | 0.04 | 32% | 14 Aug → | ||
| 14–16 | 0.02 | 12% | 13 Aug → | ||
| 4–13 | 0.02 | 17% | 13 Aug → | ||
| 13–11 | -0.01 | 22% | 12 Aug → | ||
| 13–6 | 0.02 | 22% | 12 Aug → | ||
| 5–13 | 0.04 | 20% | 12 Aug → | ||
| 7–13 | -0.00 | 29% | 12 Aug → | ||
| 16–12 | 0.06 | 18% | 11 Aug → | ||
| 9–13 | -0.01 | 28% | 11 Aug → | ||
| 13–11 | 0.03 | 22% | 11 Aug → | ||
| 11–13 | -0.02 | 25% | 10 Aug → | ||
| office | 3–13 | -0.01 | 24% | 10 Aug → | |
| 16–14 | 0.03 | 20% | 10 Aug → | ||
| 2–13 | -0.04 | 31% | 9 Aug → | ||
| 9–13 | 0.03 | 26% | 9 Aug → | ||
| 13–11 | -0.01 | 28% | 9 Aug → | ||
| 13–5 | 0.04 | 19% | 9 Aug → | ||
| 13–2 | -0.02 | 16% | 8 Aug → | ||
| 13–5 | 0.07 | 23% | 8 Aug → | ||
| 11–13 | 0.01 | 17% | 8 Aug → | ||
| 13–7 | 0.02 | 16% | 7 Aug → | ||
| office | 13–11 | 0.04 | 16% | 7 Aug → | |
| 15–15 | -0.01 | 23% | 6 Aug → | ||
| 13–3 | 0.07 | 12% | 6 Aug → | ||
| 13–6 | 0.06 | 28% | 6 Aug → | ||
| 11–13 | -0.03 | 19% | 6 Aug → | ||
| 13–6 | 0.01 | 8% | 6 Aug → | ||
| 12–12 | -0.01 | 14% | 5 Aug → |
Match data via Leetify.
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