NAJA1337 — CS2 Stats
76561197999841077[U:1:39575349]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 48.6% | 52.0% |
| Shot accuracy | 14.7% | 13.7% |
| Kill/death ratio | 1.50 | 1.08 |
| Match win rate | 43.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerStrong CT-side openerEffective 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 s1mple 96% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.76 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 72% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 7.6/10 (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 |
|---|---|---|---|---|---|
| A | 26 | 15–11 | 58% | 0.04 | |
| B | 22 | 10–12 | 45% | 0.02 | |
| D | 16 | 5–11 | 31% | 0.02 | |
| C | 16 | 7–9 | 44% | 0.03 | |
| D | 10 | 3–7 | 30% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 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 resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 23 | 48% | 1.59 | 20.4 |
| Ancient | 23 | 57% | 1.13 | 15.5 |
| Anubis | 14 | 43% | 1.21 | 17.9 |
| Dust2 | 13 | 62% | 1.32 | 17.5 |
| Overpass | 12 | 92% | 1.89 | 21.8 |
| Mirage | 11 | 45% | 1.06 | 16.4 |
| Nuke | 11 | 82% | 1.28 | 14.8 |
| Cache | 3 | 33% | 1.00 | 14.3 |
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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | -0.03 | 18% | 16 Aug → | ||
| 10–13 | 0.00 | 14% | 16 Aug → | ||
| 13–11 | 0.06 | 24% | 16 Aug → | ||
| 13–6 | 0.08 | 24% | 16 Aug → | ||
| 13–7 | 0.12 | 25% | 16 Aug → | ||
| 13–6 | 0.15 | 21% | 16 Aug → | ||
| 9–13 | 0.09 | 19% | 16 Aug → | ||
| 9–13 | 0.04 | 28% | 16 Aug → | ||
| 8–13 | 0.07 | 34% | 14 Aug → | ||
| 10–13 | 0.05 | 18% | 14 Aug → | ||
| 13–4 | 0.09 | 22% | 14 Aug → | ||
| 6–13 | 0.02 | 17% | 13 Aug → | ||
| 7–13 | -0.02 | 18% | 13 Aug → | ||
| 3–13 | 0.00 | 31% | 13 Aug → | ||
| 8–13 | 0.04 | 28% | 12 Aug → | ||
| 13–11 | 0.14 | 23% | 12 Aug → | ||
| 13–7 | 0.09 | 23% | 12 Aug → | ||
| 13–7 | 0.01 | 17% | 12 Aug → | ||
| 8–13 | -0.01 | 27% | 11 Aug → | ||
| 13–4 | 0.06 | 11% | 11 Aug → | ||
| 10–13 | 0.09 | 25% | 11 Aug → | ||
| 13–11 | 0.12 | 15% | 11 Aug → | ||
| 13–5 | 0.09 | 30% | 11 Aug → | ||
| 9–13 | -0.04 | 32% | 11 Aug → | ||
| 14–16 | 0.04 | 18% | 10 Aug → | ||
| 13–2 | 0.08 | 18% | 10 Aug → | ||
| 11–13 | 0.07 | 27% | 9 Aug → | ||
| 15–15 | 0.01 | 22% | 9 Aug → | ||
| 4–13 | -0.03 | 39% | 8 Aug → | ||
| 13–0 | -0.04 | 23% | 8 Aug → | ||
| 13–9 | 0.05 | 27% | 7 Aug → | ||
| 3–13 | -0.09 | 15% | 5 Aug → | ||
| 7–13 | -0.04 | 18% | 3 Aug → | ||
| 7–13 | -0.04 | 26% | 3 Aug → | ||
| 16–12 | 0.05 | 10% | 3 Aug → | ||
| 13–9 | 0.02 | 19% | 3 Aug → | ||
| 13–11 | 0.01 | 16% | 3 Aug → | ||
| 14–16 | -0.02 | 15% | 3 Aug → | ||
| 13–1 | 0.11 | 13% | 3 Aug → | ||
| 13–5 | 0.00 | 12% | 3 Aug → | ||
| 13–9 | -0.00 | 26% | 3 Aug → | ||
| 10–13 | -0.03 | 30% | 1 Aug → | ||
| 13–9 | 0.04 | 29% | 1 Aug → | ||
| 8–13 | 0.02 | 24% | 1 Aug → | ||
| 5–13 | 0.04 | 22% | 31 Jul → | ||
| 5–13 | -0.06 | 14% | 31 Jul → | ||
| 13–3 | 0.04 | 18% | 31 Jul → | ||
| 13–5 | 0.04 | 33% | 28 Jul → | ||
| 1–13 | -0.05 | 27% | 28 Jul → | ||
| 10–13 | 0.03 | 32% | 28 Jul → | ||
| 13–3 | 0.01 | 35% | 28 Jul → | ||
| 11–13 | -0.01 | 21% | 28 Jul → | ||
| 11–13 | 0.05 | 19% | 25 Jul → | ||
| 13–16 | 0.00 | 13% | 24 Jul → | ||
| 13–10 | 0.05 | 12% | 24 Jul → | ||
| 6–13 | 0.03 | 28% | 24 Jul → | ||
| 13–5 | 0.07 | 27% | 24 Jul → | ||
| 9–13 | -0.06 | 21% | 24 Jul → | ||
| 13–16 | 0.03 | 32% | 24 Jul → | ||
| 8–13 | -0.01 | 17% | 23 Jul → | ||
| 13–10 | 0.15 | 32% | 23 Jul → | ||
| 14–16 | 0.01 | 21% | 20 Jul → | ||
| 13–10 | 0.01 | 24% | 20 Jul → | ||
| 13–7 | 0.08 | 17% | 20 Jul → | ||
| 13–8 | 0.09 | 24% | 20 Jul → | ||
| 6–13 | -0.04 | 21% | 20 Jul → | ||
| 9–13 | 0.06 | 34% | 20 Jul → | ||
| 13–8 | 0.10 | 19% | 20 Jul → | ||
| 7–13 | -0.00 | 13% | 13 Jul → | ||
| 11–13 | -0.07 | 21% | 13 Jul → | ||
| 13–2 | 0.07 | 31% | 12 Jul → | ||
| 13–10 | 0.01 | 22% | 12 Jul → | ||
| 13–11 | -0.02 | 14% | 12 Jul → | ||
| 13–7 | 0.02 | 8% | 12 Jul → | ||
| 11–13 | 0.08 | 18% | 12 Jul → | ||
| 10–13 | -0.01 | 15% | 12 Jul → | ||
| 9–13 | 0.02 | 22% | 12 Jul → | ||
| 10–13 | 0.06 | 13% | 12 Jul → | ||
| 9–13 | 0.02 | 21% | 12 Jul → | ||
| 13–7 | 0.04 | 23% | 11 Jul → | ||
| 2–13 | -0.06 | 5% | 11 Jul → | ||
| 13–5 | 0.09 | 10% | 11 Jul → | ||
| 6–13 | -0.04 | 24% | 11 Jul → | ||
| 4–13 | -0.05 | 24% | 11 Jul → | ||
| 9–13 | 0.04 | 17% | 11 Jul → | ||
| 13–10 | -0.03 | 19% | 11 Jul → | ||
| 5–13 | -0.05 | 17% | 11 Jul → | ||
| 13–8 | 0.09 | 15% | 11 Jul → | ||
| 1–10 | 0.02 | 23% | 11 Jul → | ||
| 14–16 | -0.01 | 22% | 11 Jul → | ||
| 13–10 | 0.01 | 11% | 10 Jul → | ||
| 15–15 | 0.06 | 25% | 10 Jul → | ||
| 10–13 | 0.02 | 9% | 10 Jul → | ||
| 15–15 | 0.06 | 30% | 10 Jul → | ||
| 5–13 | 0.03 | 23% | 10 Jul → | ||
| 13–6 | 0.13 | 20% | 9 Jul → | ||
| 11–13 | 0.03 | 23% | 9 Jul → | ||
| 13–10 | 0.05 | 30% | 9 Jul → | ||
| 13–10 | 0.04 | 15% | 9 Jul → | ||
| 13–10 | 0.05 | 23% | 9 Jul → |
Match data via Leetify.
Recent teammates
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