阿強 — CS2 Stats
76561197984354462[U:1:24088734]
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 45.5% | 46.1% | 47.0% | 1.5% short |
| Shot accuracy | 11.8% | 12.6% | 12.7% | 0.9% short |
| Kill/death ratio | 0.98 | 1.05 | 1.07 | 0.09 short |
| Match win rate | 59.2% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 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: +20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim 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
Strengths
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 21 | 14–7 | 67% | -0.00 | |
| A | 16 | 10–6 | 63% | -0.02 | |
| A | 16 | 9–7 | 56% | 0.00 | |
| S | 14 | 10–4 | 71% | -0.01 | |
| S | 10 | 8–2 | 80% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| S | 7 | 6–1 | 86% | 0.01 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (56% over 16). Start with the 6 essential Inferno 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 resultsLWLLL
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 24.0038% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.03 | 21% | 30 Aug → | ||
| 13–2 | 0.07 | 31% | 30 Aug → | ||
| 13–6 | -0.07 | 14% | 30 Aug → | ||
| 1–13 | -0.07 | 25% | 29 Aug → | ||
| 5–2 | 0.10 | 38% | 28 Aug → | ||
| 13–3 | 0.13 | 56% | 28 Aug → | ||
| 13–5 | 0.05 | 60% | 28 Aug → | ||
| 13–4 | 0.03 | 67% | 28 Aug → | ||
| 4–13 | -0.04 | 44% | 26 Aug → | ||
| 5–13 | -0.08 | 38% | 26 Aug → | ||
| 7–5 | -0.02 | 22% | 26 Aug → | ||
| 11–13 | 0.02 | 9% | 26 Aug → | ||
| 2–13 | -0.04 | 80% | 26 Aug → | ||
| 3–13 | -0.03 | 29% | 26 Aug → | ||
| 13–9 | 0.05 | 61% | 26 Aug → | ||
| 13–6 | -0.01 | 0% | 26 Aug → | ||
| 5–13 | -0.04 | 0% | 26 Aug → | ||
| 0–13 | -0.02 | 100% | 25 Aug → | ||
| 13–2 | 0.09 | 11% | 25 Aug → | ||
| 13–8 | 0.04 | 13% | 25 Aug → | ||
| 0–13 | -0.03 | 0% | 25 Aug → | ||
| 13–2 | 0.02 | 20% | 25 Aug → | ||
| 13–2 | 0.06 | 16% | 25 Aug → | ||
| 16–12 | 0.06 | 17% | 24 Aug → | ||
| 10–13 | -0.05 | 24% | 24 Aug → | ||
| 6–13 | -0.05 | 25% | 24 Aug → | ||
| 13–8 | 0.00 | 13% | 24 Aug → | ||
| 13–5 | 0.01 | 100% | 24 Aug → | ||
| 13–6 | -0.03 | 0% | 24 Aug → | ||
| 13–5 | -0.05 | 0% | 24 Aug → | ||
| 8–13 | -0.03 | 15% | 24 Aug → | ||
| 9–13 | -0.02 | 18% | 23 Aug → | ||
| 9–13 | -0.09 | 14% | 23 Aug → | ||
| 0–2 | -0.22 | 0% | 23 Aug → | ||
| 5–13 | -0.14 | 10% | 23 Aug → | ||
| 13–8 | 0.09 | 20% | 23 Aug → | ||
| 13–6 | -0.06 | 50% | 23 Aug → | ||
| 13–4 | 0.05 | 75% | 23 Aug → | ||
| 13–3 | 0.03 | 13% | 23 Aug → | ||
| 12–12 | -0.04 | 15% | 23 Aug → | ||
| 13–0 | 0.11 | 70% | 23 Aug → | ||
| 5–13 | 0.00 | 0% | 23 Aug → | ||
| 13–5 | 0.03 | 33% | 21 Aug → | ||
| 10–13 | -0.08 | 11% | 21 Aug → | ||
| 13–10 | 0.07 | 11% | 21 Aug → | ||
| 13–1 | 0.06 | 100% | 19 Aug → | ||
| 13–2 | 0.05 | 25% | 19 Aug → | ||
| 13–4 | 0.00 | 50% | 19 Aug → | ||
| 1–4 | -0.16 | 50% | 19 Aug → | ||
| 9–13 | -0.03 | 29% | 19 Aug → | ||
| 13–4 | -0.01 | 22% | 19 Aug → | ||
| 13–2 | 0.10 | 38% | 19 Aug → | ||
| 5–13 | 0.02 | 56% | 17 Aug → | ||
| 11–13 | -0.03 | 0% | 17 Aug → | ||
| 12–12 | -0.02 | 15% | 17 Aug → | ||
| 13–5 | -0.05 | 20% | 17 Aug → | ||
| 13–3 | 0.05 | 50% | 17 Aug → | ||
| 13–5 | 0.03 | 17% | 17 Aug → | ||
| 1–13 | -0.13 | 0% | 17 Aug → | ||
| 13–6 | 0.05 | 50% | 14 Aug → | ||
| 13–6 | -0.06 | 13% | 14 Aug → | ||
| 9–13 | -0.02 | 20% | 14 Aug → | ||
| 6–13 | -0.07 | 33% | 14 Aug → | ||
| 13–2 | 0.06 | 43% | 7 Aug → | ||
| 0–13 | -0.06 | 20% | 7 Aug → | ||
| 13–4 | -0.02 | 40% | 6 Aug → | ||
| 13–7 | 0.00 | 75% | 6 Aug → | ||
| 1–13 | -0.10 | 0% | 6 Aug → | ||
| 7–2 | -0.03 | 17% | 3 Aug → | ||
| 13–4 | -0.00 | 44% | 2 Aug → | ||
| 13–5 | -0.06 | 0% | 31 Jul → | ||
| 13–11 | 0.03 | 56% | 31 Jul → | ||
| 5–13 | -0.06 | 60% | 31 Jul → | ||
| 7–13 | -0.02 | 45% | 31 Jul → | ||
| 13–10 | -0.02 | 50% | 31 Jul → | ||
| 13–3 | -0.02 | 50% | 31 Jul → | ||
| 13–7 | -0.00 | 11% | 30 Jul → | ||
| 13–8 | 0.03 | 25% | 30 Jul → | ||
| 13–6 | -0.02 | 50% | 30 Jul → | ||
| 13–8 | 0.01 | 100% | 30 Jul → | ||
| 13–3 | 0.02 | 50% | 30 Jul → | ||
| 13–1 | 0.04 | 0% | 30 Jul → | ||
| 13–7 | -0.05 | 20% | 30 Jul → | ||
| 13–10 | -0.02 | 14% | 29 Jul → | ||
| 13–6 | -0.04 | 11% | 29 Jul → | ||
| 13–5 | 0.02 | 0% | 29 Jul → | ||
| 13–8 | -0.00 | 50% | 29 Jul → | ||
| 13–5 | -0.06 | 17% | 29 Jul → | ||
| 13–10 | -0.05 | 16% | 28 Jul → | ||
| 13–1 | -0.04 | 50% | 28 Jul → | ||
| 13–5 | -0.03 | 67% | 27 Jul → | ||
| 13–4 | 0.04 | 100% | 27 Jul → | ||
| 13–8 | -0.02 | 50% | 27 Jul → | ||
| 13–1 | 0.08 | 100% | 27 Jul → | ||
| 8–13 | -0.02 | 16% | 27 Jul → | ||
| 13–7 | 0.04 | 36% | 26 Jul → | ||
| 13–7 | -0.04 | 29% | 26 Jul → | ||
| 13–0 | 0.10 | 50% | 26 Jul → | ||
| 13–6 | -0.05 | 25% | 26 Jul → | ||
| 5–1 | -0.07 | 0% | 26 Jul → |
Match data via Leetify.