? — CS2 Stats
76561199252260657[U:1:1291994929]
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 50.3% | 42.2% | 42.7% | above |
| Shot accuracy | 1.7% | 11.9% | 10.8% | 9.1% short |
| Kill/death ratio | 0.90 | 0.98 | 1.00 | 0.10 short |
| Match win rate | 49.3% | 43.6% | 44.1% | above |
This profile matches the typical Level 4 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 4 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.
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 87% 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
Areas to improve
Reaction time. 607ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
| C | 24 | 10–14 | 42% | -0.03 | |
| D | 21 | 7–14 | 33% | -0.03 | |
| S | 20 | 13–7 | 65% | -0.02 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.06 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 21). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 202 | 49% | 1.07 | 15.7 |
| Inferno | 109 | 50% | 0.94 | 14.8 |
| Dust2 | 99 | 55% | 1.01 | 14.9 |
| Ancient | 59 | 59% | 1.00 | 16.9 |
| Anubis | 46 | 41% | 0.92 | 14.8 |
| Nuke | 44 | 36% | 0.99 | 16.7 |
| Vertigo | 41 | 37% | 0.99 | 16.2 |
| Train | 20 | 30% | 1.06 | 18.8 |
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.
33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.09 | 28% | 27 Aug → | ||
| 13–6 | -0.01 | 28% | 27 Aug → | ||
| 9–13 | -0.02 | 33% | 27 Aug → | ||
| 14–16 | -0.07 | 24% | 26 Aug → | ||
| 13–10 | -0.06 | 33% | 26 Aug → | ||
| 11–13 | -0.01 | 31% | 22 Aug → | ||
| 5–13 | 0.00 | 29% | 22 Aug → | ||
| 13–6 | -0.01 | 30% | 21 Aug → | ||
| 9–13 | 0.00 | 20% | 21 Aug → | ||
| 14–16 | -0.07 | 25% | 20 Aug → | ||
| 7–13 | 0.01 | 18% | 20 Aug → | ||
| 10–13 | -0.02 | 19% | 20 Aug → | ||
| 13–11 | -0.03 | 19% | 20 Aug → | ||
| 15–15 | 0.03 | 21% | 19 Aug → | ||
| 13–3 | -0.11 | 23% | 19 Aug → | ||
| 2–13 | -0.04 | 18% | 19 Aug → | ||
| 13–5 | 0.01 | 36% | 19 Aug → | ||
| 12–16 | -0.04 | 29% | 15 Aug → | ||
| 13–6 | 0.01 | 34% | 15 Aug → | ||
| 13–11 | -0.03 | 29% | 15 Aug → | ||
| 13–10 | 0.03 | 23% | 15 Aug → | ||
| 5–13 | -0.05 | 31% | 15 Aug → | ||
| 15–15 | -0.03 | 17% | 14 Aug → | ||
| 9–13 | 0.04 | 29% | 14 Aug → | ||
| 13–5 | -0.03 | 29% | 14 Aug → | ||
| 10–13 | 0.00 | 16% | 13 Aug → | ||
| 13–8 | -0.05 | 26% | 13 Aug → | ||
| 13–1 | 0.04 | 53% | 13 Aug → | ||
| 6–13 | -0.04 | 31% | 13 Aug → | ||
| 15–15 | -0.01 | 15% | 12 Aug → | ||
| 13–9 | 0.01 | 36% | 12 Aug → | ||
| 3–13 | -0.05 | 24% | 11 Aug → | ||
| 2–13 | -0.07 | 13% | 11 Aug → | ||
| 13–8 | 0.01 | 20% | 10 Aug → | ||
| 6–13 | -0.08 | 9% | 10 Aug → | ||
| 15–15 | -0.03 | 31% | 9 Aug → | ||
| 13–9 | 0.00 | 24% | 8 Aug → | ||
| 13–0 | 0.03 | 25% | 8 Aug → | ||
| 6–13 | -0.00 | 31% | 8 Aug → | ||
| 15–15 | 0.00 | 15% | 7 Aug → | ||
| 13–6 | -0.00 | 19% | 7 Aug → | ||
| 7–13 | -0.05 | 19% | 6 Aug → | ||
| 5–13 | -0.13 | 11% | 6 Aug → | ||
| 3–13 | -0.02 | 27% | 5 Aug → | ||
| 7–13 | -0.09 | 21% | 5 Aug → | ||
| 13–11 | -0.03 | 14% | 5 Aug → | ||
| 11–13 | -0.04 | 26% | 4 Aug → | ||
| 9–13 | -0.01 | 26% | 4 Aug → | ||
| 13–4 | 0.06 | 24% | 4 Aug → | ||
| 10–13 | -0.08 | 22% | 1 Aug → | ||
| 13–8 | -0.07 | 25% | 1 Aug → | ||
| 13–9 | -0.03 | 42% | 31 Jul → | ||
| 8–13 | -0.05 | 24% | 31 Jul → | ||
| 7–13 | -0.06 | 32% | 31 Jul → | ||
| 7–13 | -0.06 | 30% | 30 Jul → | ||
| 2–13 | -0.09 | 21% | 30 Jul → | ||
| 16–14 | -0.07 | 24% | 29 Jul → | ||
| 13–5 | 0.01 | 20% | 29 Jul → | ||
| 13–8 | -0.06 | 18% | 28 Jul → | ||
| 5–13 | -0.04 | 29% | 28 Jul → | ||
| 13–7 | -0.08 | 35% | 20 Jul → | ||
| 13–11 | -0.05 | 4% | 20 Jul → | ||
| 13–5 | 0.06 | 27% | 20 Jul → | ||
| 15–15 | -0.03 | 33% | 20 Jul → | ||
| 13–11 | 0.02 | 23% | 19 Jul → | ||
| 13–10 | -0.03 | 22% | 18 Jul → | ||
| 13–9 | -0.01 | 29% | 18 Jul → | ||
| 13–11 | -0.05 | 26% | 18 Jul → | ||
| 13–7 | -0.05 | 25% | 17 Jul → | ||
| 9–13 | -0.03 | 15% | 15 Jul → | ||
| 13–7 | -0.05 | 33% | 15 Jul → | ||
| 13–11 | -0.01 | 12% | 15 Jul → | ||
| 3–13 | -0.03 | 28% | 14 Jul → | ||
| 13–10 | -0.01 | 22% | 13 Jul → | ||
| 13–4 | 0.03 | 18% | 13 Jul → | ||
| 13–11 | -0.02 | 24% | 12 Jul → | ||
| 13–8 | -0.05 | 21% | 12 Jul → | ||
| 9–13 | 0.00 | 34% | 12 Jul → | ||
| 13–11 | -0.06 | 16% | 11 Jul → | ||
| 16–14 | 0.02 | 21% | 11 Jul → | ||
| 9–13 | 0.01 | 16% | 11 Jul → | ||
| 11–13 | 0.00 | 21% | 10 Jul → | ||
| 7–13 | -0.01 | 22% | 10 Jul → | ||
| 6–13 | -0.07 | 13% | 10 Jul → | ||
| 13–6 | 0.00 | 18% | 10 Jul → | ||
| 16–13 | -0.03 | 22% | 9 Jul → | ||
| 10–13 | -0.06 | 18% | 9 Jul → | ||
| 10–13 | -0.05 | 26% | 9 Jul → | ||
| 13–9 | 0.01 | 31% | 9 Jul → | ||
| 13–8 | 0.01 | 13% | 9 Jul → | ||
| 7–13 | -0.03 | 27% | 9 Jul → | ||
| 13–11 | 0.01 | 31% | 9 Jul → | ||
| 11–13 | -0.09 | 14% | 9 Jul → | ||
| 13–6 | -0.06 | 7% | 9 Jul → | ||
| 13–2 | -0.01 | 24% | 9 Jul → | ||
| 10–13 | -0.04 | 5% | 8 Jul → | ||
| 10–13 | -0.05 | 30% | 8 Jul → | ||
| 12–12 | -0.02 | 27% | 8 Jul → | ||
| 7–13 | 0.01 | 27% | 3 Jul → | ||
| 13–16 | -0.04 | 18% | 2 Jul → |
Match data via Leetify.