13 yo — CS2 Stats
76561199059884843[U:1:1099619115]Steam profile ↗
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 | 51.4% | 52.8% |
| Shot accuracy | 9.6% | 13.7% |
| Kill/death ratio | 0.95 | 1.08 |
| Match win rate | 52.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 Twistzz 93% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 56% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 565ms 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 6.4/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 35 | 24–11 | 69% | -0.00 | |
| S | 15 | 12–3 | 80% | 0.01 | |
| B | 13 | 6–7 | 46% | 0.00 | |
| S | 12 | 8–4 | 67% | -0.00 | |
| C | 8 | 3–5 | 38% | 0.00 | |
| D | 7 | 2–5 | 29% | -0.02 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 522 | 48% | 1.07 | 15.5 |
| Nuke | 387 | 63% | 1.17 | 16.6 |
| Ancient | 317 | 50% | 1.08 | 16.0 |
| Anubis | 221 | 43% | 1.01 | 15.9 |
| Train | 111 | 66% | 1.11 | 15.7 |
| Dust2 | 108 | 36% | 0.93 | 14.3 |
| Inferno | 54 | 43% | 0.97 | 15.5 |
| Overpass | 35 | 46% | 0.94 | 14.5 |
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 25.6479% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–16 | -0.02 | 31% | 27 Aug → | ||
| 13–9 | 0.06 | 25% | 26 Aug → | ||
| 2–13 | 0.01 | 20% | 19 Aug → | ||
| 13–11 | -0.02 | 12% | 18 Aug → | ||
| 13–5 | 0.05 | 31% | 17 Aug → | ||
| 13–11 | -0.00 | 28% | 16 Aug → | ||
| 19–22 | -0.00 | 17% | 14 Aug → | ||
| 13–6 | 0.16 | 15% | 12 Aug → | ||
| 7–13 | 0.04 | 14% | 10 Aug → | ||
| 13–4 | 0.05 | 19% | 10 Aug → | ||
| 5–13 | 0.00 | 11% | 10 Aug → | ||
| 14–16 | -0.05 | 21% | 8 Aug → | ||
| 13–10 | 0.01 | 11% | 7 Aug → | ||
| 13–8 | 0.01 | 7% | 5 Aug → | ||
| 10–13 | -0.02 | 20% | 4 Aug → | ||
| 16–14 | -0.05 | 23% | 4 Aug → | ||
| 1–13 | -0.02 | 22% | 4 Aug → | ||
| 19–22 | 0.05 | 20% | 3 Aug → | ||
| 19–17 | -0.01 | 13% | 3 Aug → | ||
| 21–25 | -0.02 | 17% | 3 Aug → | ||
| 13–1 | 0.01 | 25% | 31 Jul → | ||
| 16–14 | 0.02 | 21% | 29 Jul → | ||
| 4–13 | -0.05 | 17% | 27 Jul → | ||
| 13–7 | -0.03 | 24% | 27 Jul → | ||
| 7–13 | -0.07 | 18% | 26 Jul → | ||
| 2–9 | -0.08 | 20% | 25 Jul → | ||
| 6–13 | -0.01 | 14% | 23 Jul → | ||
| 8–13 | -0.02 | 25% | 23 Jul → | ||
| 13–2 | 0.02 | 12% | 22 Jul → | ||
| 13–9 | 0.03 | 24% | 22 Jul → | ||
| 8–13 | -0.04 | 23% | 13 Jul → | ||
| 8–13 | -0.02 | 31% | 12 Jul → | ||
| 7–13 | -0.08 | 7% | 10 Jul → | ||
| 13–11 | 0.02 | 18% | 10 Jul → | ||
| 8–13 | 0.08 | 20% | 10 Jul → | ||
| 5–13 | -0.07 | 9% | 7 Jul → | ||
| 10–13 | 0.00 | 20% | 6 Jul → | ||
| 13–9 | -0.03 | 27% | 2 Jul → | ||
| 13–1 | -0.04 | 29% | 1 Jul → | ||
| 13–9 | -0.02 | 15% | 30 Jun → | ||
| 9–13 | 0.00 | 12% | 30 Jun → | ||
| 16–14 | -0.03 | 16% | 29 Jun → | ||
| 16–14 | -0.03 | 17% | 28 Jun → | ||
| 4–13 | -0.11 | 29% | 24 Jun → | ||
| 13–1 | 0.03 | 27% | 17 Jun → | ||
| 13–6 | -0.01 | 28% | 16 Jun → | ||
| 13–11 | -0.07 | 11% | 15 Jun → | ||
| 13–7 | 0.04 | 25% | 14 Jun → | ||
| 14–16 | -0.04 | 22% | 12 Jun → | ||
| 9–13 | -0.05 | 17% | 13 Oct → | ||
| 3–13 | -0.06 | 8% | 30 Sept → | ||
| 13–9 | 0.02 | 21% | 24 Sept → | ||
| 13–7 | -0.01 | 18% | 22 Sept → | ||
| 13–7 | 0.09 | 21% | 22 Sept → | ||
| 5–13 | -0.02 | 18% | 20 Sept → | ||
| 11–13 | -0.03 | 13% | 17 Sept → | ||
| 13–5 | 0.02 | 23% | 17 Sept → | ||
| 13–8 | 0.02 | 17% | 15 Sept → | ||
| 22–25 | -0.00 | 14% | 11 Sept → | ||
| 11–13 | -0.05 | 21% | 7 Sept → | ||
| 13–3 | 0.12 | 29% | 6 Sept → | ||
| 13–8 | -0.05 | 15% | 5 Sept → | ||
| 13–11 | -0.00 | 16% | 5 Sept → | ||
| 14–16 | -0.06 | 23% | 3 Sept → | ||
| 13–2 | -0.02 | 19% | 2 Sept → | ||
| 13–11 | 0.01 | 15% | 2 Sept → | ||
| 3–13 | -0.08 | 16% | 2 Sept → | ||
| 13–10 | 0.03 | 25% | 30 Aug → | ||
| 13–1 | 0.03 | 23% | 27 Aug → | ||
| 7–13 | -0.05 | 24% | 27 Aug → | ||
| 8–13 | 0.07 | 19% | 26 Aug → | ||
| 6–13 | -0.03 | 28% | 24 Aug → | ||
| 13–6 | 0.06 | 15% | 23 Aug → | ||
| 8–13 | -0.03 | 21% | 22 Aug → | ||
| 13–7 | 0.03 | 25% | 19 Aug → | ||
| 16–14 | -0.01 | 16% | 17 Aug → | ||
| 13–8 | 0.02 | 25% | 16 Aug → | ||
| 13–11 | 0.06 | 24% | 14 Aug → | ||
| 13–8 | -0.04 | 12% | 14 Aug → | ||
| 22–20 | 0.04 | 19% | 11 Aug → | ||
| 8–13 | 0.00 | 24% | 10 Aug → | ||
| 5–13 | -0.00 | 35% | 9 Aug → | ||
| 8–13 | 0.02 | 15% | 9 Aug → | ||
| 13–11 | -0.04 | 15% | 6 Aug → | ||
| 13–11 | -0.01 | 13% | 5 Aug → | ||
| 9–13 | -0.03 | 18% | 4 Aug → | ||
| 13–11 | -0.01 | 15% | 4 Aug → | ||
| 13–10 | 0.04 | 14% | 2 Aug → | ||
| 13–3 | 0.01 | 23% | 2 Aug → | ||
| 13–11 | 0.01 | 33% | 2 Aug → | ||
| 13–9 | 0.03 | 18% | 2 Aug → | ||
| 13–1 | 0.03 | 15% | 2 Aug → | ||
| 13–8 | 0.09 | 18% | 31 Jul → | ||
| 14–16 | -0.02 | 20% | 23 Jul → | ||
| 9–13 | -0.04 | 38% | 22 Jul → | ||
| 8–13 | -0.04 | 15% | 22 Jul → | ||
| 8–13 | -0.01 | 23% | 21 Jul → | ||
| 13–8 | 0.03 | 22% | 21 Jul → | ||
| 19–17 | -0.05 | 18% | 21 Jul → | ||
| 10–13 | -0.01 | 20% | 21 Jul → |
Match data via Leetify.
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