Patonki Anneli — CS2 Stats
76561198086103831[U:1:125838103]
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 | 49.4% | 52.8% |
| Shot accuracy | 17.3% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 48.8% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 95% playstyle similarity
Most alike: utility contribution, positioning 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
Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 51% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
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 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 25 | 14–11 | 56% | -0.02 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| B | 15 | 8–7 | 53% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| A | 11 | 6–5 | 55% | -0.01 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| S | 7 | 5–2 | 71% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.07 | |
| poseidon | — | 1 | 0–1 | 0% | -0.15 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 149 | 61% | 1.27 | 16.0 |
| Anubis | 103 | 61% | 1.23 | 16.7 |
| Nuke | 71 | 59% | 1.23 | 16.0 |
| Dust2 | 42 | 52% | 1.10 | 14.8 |
| Inferno | 39 | 54% | 1.24 | 16.2 |
| Overpass | 35 | 63% | 1.16 | 16.9 |
| Train | 25 | 56% | 1.11 | 15.6 |
| Mirage | 18 | 44% | 1.14 | 12.8 |
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
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 26.8027% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.18 | 17% | 29 Mar → | ||
| 7–13 | -0.01 | 21% | 29 Mar → | ||
| 6–13 | 0.00 | 14% | 28 Mar → | ||
| 6–13 | -0.04 | 15% | 19 Mar → | ||
| 11–13 | 0.09 | 12% | 17 Mar → | ||
| 0–3 | -0.11 | 0% | 15 Mar → | ||
| 2–13 | -0.07 | 35% | 15 Mar → | ||
| 0–1 | 0.00 | 0% | 10 Mar → | ||
| 6–13 | -0.04 | 13% | 8 Mar → | ||
| 13–9 | 0.02 | 19% | 7 Mar → | ||
| 13–9 | 0.02 | 19% | 7 Mar → | ||
| 13–8 | 0.03 | 30% | 7 Mar → | ||
| 13–8 | 0.01 | 19% | 7 Mar → | ||
| 13–5 | 0.06 | 17% | 7 Mar → | ||
| 13–10 | -0.01 | 20% | 5 Mar → | ||
| 13–6 | 0.09 | 28% | 2 Mar → | ||
| 13–3 | -0.01 | 20% | 2 Mar → | ||
| poseidon | 2–9 | -0.15 | 8% | 26 Feb → | |
| 1–9 | -0.03 | 0% | 26 Feb → | ||
| 3–9 | -0.20 | 3% | 26 Feb → | ||
| 13–7 | 0.04 | 30% | 25 Feb → | ||
| 11–13 | -0.01 | 18% | 25 Feb → | ||
| 13–2 | 0.06 | 15% | 24 Feb → | ||
| 8–13 | 0.00 | 14% | 22 Feb → | ||
| 13–11 | -0.02 | 30% | 20 Feb → | ||
| 11–13 | 0.00 | 29% | 19 Feb → | ||
| 13–4 | 0.08 | 26% | 18 Feb → | ||
| 9–13 | 0.02 | 10% | 18 Feb → | ||
| 13–11 | -0.04 | 8% | 17 Feb → | ||
| 5–13 | -0.04 | 20% | 17 Feb → | ||
| 16–13 | -0.02 | 23% | 16 Feb → | ||
| 11–13 | 0.04 | 15% | 15 Feb → | ||
| 13–9 | -0.05 | 13% | 15 Feb → | ||
| 11–13 | -0.00 | 19% | 15 Feb → | ||
| 13–8 | 0.05 | 15% | 15 Feb → | ||
| 8–13 | 0.05 | 30% | 15 Feb → | ||
| 12–16 | 0.01 | 17% | 14 Feb → | ||
| 13–16 | 0.01 | 26% | 13 Feb → | ||
| 13–11 | -0.01 | 19% | 13 Feb → | ||
| 6–13 | -0.05 | 6% | 13 Feb → | ||
| 13–9 | 0.12 | 19% | 13 Feb → | ||
| 13–9 | -0.02 | 25% | 13 Feb → | ||
| 13–3 | 0.04 | 21% | 12 Feb → | ||
| 13–2 | 0.07 | 21% | 9 Feb → | ||
| 7–13 | 0.01 | 30% | 8 Feb → | ||
| 13–9 | -0.01 | 17% | 8 Feb → | ||
| 14–16 | -0.02 | 12% | 5 Feb → | ||
| 13–11 | -0.03 | 18% | 4 Feb → | ||
| 10–13 | -0.03 | 21% | 4 Feb → | ||
| 13–11 | -0.01 | 28% | 3 Feb → | ||
| 13–11 | 0.05 | 22% | 3 Feb → | ||
| 9–13 | -0.03 | 23% | 2 Feb → | ||
| 13–4 | 0.05 | 16% | 31 Jan → | ||
| 13–16 | 0.04 | 17% | 31 Jan → | ||
| 13–10 | 0.02 | 19% | 29 Jan → | ||
| 16–12 | -0.02 | 8% | 28 Jan → | ||
| 13–5 | -0.06 | 28% | 28 Jan → | ||
| 11–13 | 0.00 | 9% | 28 Jan → | ||
| 9–13 | -0.02 | 12% | 28 Jan → | ||
| 6–13 | -0.06 | 16% | 28 Jan → | ||
| 13–9 | 0.02 | 19% | 28 Jan → | ||
| 13–2 | 0.00 | 30% | 27 Jan → | ||
| 22–19 | 0.00 | 27% | 27 Jan → | ||
| 16–12 | 0.01 | 25% | 27 Jan → | ||
| 13–7 | -0.00 | 13% | 27 Jan → | ||
| 11–13 | -0.04 | 27% | 26 Jan → | ||
| 13–11 | -0.02 | 24% | 26 Jan → | ||
| 6–13 | -0.05 | 12% | 25 Jan → | ||
| 13–11 | 0.01 | 16% | 25 Jan → | ||
| 13–11 | 0.01 | 18% | 22 Jan → | ||
| 9–1 | 0.08 | 23% | 21 Jan → | ||
| 6–13 | -0.05 | 11% | 19 Jan → | ||
| 9–13 | -0.04 | 17% | 19 Jan → | ||
| 13–10 | 0.00 | 28% | 19 Jan → | ||
| 5–13 | -0.01 | 27% | 19 Jan → | ||
| 13–8 | 0.03 | 15% | 17 Jan → | ||
| 13–11 | -0.01 | 27% | 17 Jan → | ||
| 13–6 | 0.01 | 17% | 16 Jan → | ||
| 4–13 | -0.04 | 39% | 16 Jan → | ||
| 0–8 | -0.12 | 17% | 16 Jan → | ||
| 13–4 | 0.03 | 24% | 16 Jan → | ||
| 13–10 | 0.01 | 28% | 13 Jan → | ||
| 13–6 | 0.05 | 14% | 13 Jan → | ||
| 7–13 | -0.02 | 13% | 12 Jan → | ||
| 11–13 | -0.07 | 8% | 12 Jan → | ||
| 8–13 | -0.04 | 6% | 11 Jan → | ||
| 13–9 | -0.01 | 18% | 10 Jan → | ||
| 13–10 | -0.01 | 14% | 10 Jan → | ||
| 13–5 | 0.08 | 24% | 7 Jan → | ||
| 10–13 | 0.01 | 25% | 7 Jan → | ||
| 13–7 | -0.03 | 23% | 7 Jan → | ||
| 13–5 | 0.04 | 26% | 7 Jan → | ||
| 5–13 | -0.09 | 33% | 3 Jan → | ||
| 7–13 | -0.03 | 14% | 3 Jan → | ||
| 11–13 | 0.07 | 15% | 29 Dec → | ||
| 6–13 | 0.04 | 15% | 28 Dec → | ||
| 13–10 | 0.07 | 16% | 28 Dec → | ||
| 13–8 | 0.01 | 22% | 20 Dec → | ||
| 13–5 | 0.05 | 14% | 19 Dec → | ||
| 3–13 | -0.05 | 13% | 19 Dec → |
Match data via Leetify.
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