anna — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 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 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower 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
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 553ms 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 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 22 | 9–13 | 41% | -0.03 | |
| A | 19 | 11–8 | 58% | -0.02 | |
| D | 18 | 6–12 | 33% | -0.01 | |
| S | 16 | 11–5 | 69% | 0.01 | |
| D | 13 | 4–9 | 31% | -0.02 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| — | 4 | 1–3 | 25% | 0.00 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 62% | 0.70 | 11.2 |
| Inferno | 7 | 29% | 0.64 | 8.4 |
| Vertigo | 6 | 33% | 0.90 | 13.3 |
| Anubis | 3 | 0% | 0.52 | 8.7 |
| Overpass | 2 | 50% | 1.04 | 13.0 |
| Ancient | 2 | 50% | 0.53 | 5.5 |
| Dust2 | 1 | 100% | 0.80 | 8.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4634 — below the 0.5 mark we flag
- 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 23.1529% — 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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.10 | 24% | 28 Aug → | ||
| 7–13 | 0.02 | 30% | 26 Aug → | ||
| 13–16 | 0.06 | 26% | 26 Aug → | ||
| 13–7 | 0.08 | 32% | 26 Aug → | ||
| 8–13 | 0.12 | 28% | 26 Aug → | ||
| 13–1 | 0.13 | 41% | 26 Aug → | ||
| 9–13 | -0.06 | 8% | 26 Aug → | ||
| 13–7 | -0.02 | 21% | 26 Aug → | ||
| 13–7 | -0.05 | 22% | 26 Aug → | ||
| 13–4 | -0.01 | 15% | 26 Aug → | ||
| 13–2 | -0.06 | 0% | 25 Aug → | ||
| 7–13 | 0.00 | 29% | 25 Aug → | ||
| 13–6 | 0.07 | 41% | 25 Aug → | ||
| 13–3 | 0.06 | 28% | 25 Aug → | ||
| 13–8 | 0.03 | 22% | 25 Aug → | ||
| 9–2 | 0.32 | 24% | 25 Aug → | ||
| 13–1 | 0.09 | 30% | 25 Aug → | ||
| 8–13 | 0.02 | 35% | 25 Aug → | ||
| 13–0 | 0.03 | 37% | 25 Aug → | ||
| 13–8 | 0.13 | 29% | 25 Aug → | ||
| 13–1 | 0.05 | 41% | 25 Aug → | ||
| 15–15 | -0.01 | 20% | 25 Aug → | ||
| 13–6 | -0.03 | 11% | 25 Aug → | ||
| 13–8 | -0.02 | 14% | 24 Aug → | ||
| 13–3 | -0.02 | 11% | 24 Aug → | ||
| 5–13 | -0.07 | 32% | 24 Aug → | ||
| 7–13 | -0.13 | 21% | 24 Aug → | ||
| 8–13 | -0.07 | 7% | 24 Aug → | ||
| 13–8 | -0.02 | 11% | 24 Aug → | ||
| 13–9 | 0.13 | 26% | 24 Aug → | ||
| 13–3 | 0.20 | 25% | 24 Aug → | ||
| 4–7 | -0.12 | 11% | 23 Aug → | ||
| 2–13 | -0.05 | 33% | 23 Aug → | ||
| 9–13 | -0.06 | 20% | 23 Aug → | ||
| 6–13 | -0.10 | 10% | 23 Aug → | ||
| 13–8 | -0.05 | 31% | 23 Aug → | ||
| 8–13 | -0.07 | 18% | 23 Aug → | ||
| 13–16 | -0.07 | 20% | 23 Aug → | ||
| 9–13 | -0.07 | 22% | 23 Aug → | ||
| 13–3 | -0.05 | 18% | 23 Aug → | ||
| 14–16 | -0.05 | 13% | 22 Aug → | ||
| 11–13 | -0.05 | 10% | 22 Aug → | ||
| 9–13 | -0.05 | 31% | 22 Aug → | ||
| 9–5 | 0.11 | 12% | 22 Aug → | ||
| 13–7 | -0.06 | 7% | 21 Aug → | ||
| 13–11 | -0.02 | 14% | 21 Aug → | ||
| 10–13 | -0.06 | 14% | 21 Aug → | ||
| 16–13 | -0.04 | 10% | 20 Aug → | ||
| 10–13 | -0.02 | 12% | 20 Aug → | ||
| 8–13 | -0.02 | 21% | 20 Aug → | ||
| 9–13 | -0.04 | 10% | 19 Aug → | ||
| 13–7 | -0.01 | 25% | 19 Aug → | ||
| 10–13 | -0.05 | 15% | 19 Aug → | ||
| 13–10 | -0.10 | 18% | 18 Aug → | ||
| 10–13 | -0.01 | 21% | 18 Aug → | ||
| 13–7 | 0.01 | 15% | 18 Aug → | ||
| 5–9 | 0.03 | 21% | 18 Aug → | ||
| 13–10 | -0.02 | 15% | 18 Aug → | ||
| 10–13 | -0.04 | 9% | 18 Aug → | ||
| 16–12 | -0.02 | 8% | 17 Aug → | ||
| 13–9 | -0.02 | 20% | 17 Aug → | ||
| 13–6 | -0.00 | 22% | 17 Aug → | ||
| 13–9 | -0.04 | 14% | 17 Aug → | ||
| 11–13 | 0.01 | 21% | 16 Aug → | ||
| 13–10 | 0.04 | 28% | 16 Aug → | ||
| 4–13 | -0.08 | 15% | 16 Aug → | ||
| 1–13 | -0.03 | 20% | 16 Aug → | ||
| 5–13 | -0.05 | 12% | 15 Aug → | ||
| 8–13 | -0.00 | 23% | 15 Aug → | ||
| 8–13 | -0.03 | 18% | 15 Aug → | ||
| 4–9 | -0.14 | 0% | 15 Aug → | ||
| 7–13 | -0.05 | 15% | 15 Aug → | ||
| 5–13 | -0.06 | 11% | 15 Aug → | ||
| 15–15 | -0.07 | 19% | 15 Aug → | ||
| 11–13 | -0.04 | 15% | 15 Aug → | ||
| 13–5 | -0.02 | 11% | 14 Aug → | ||
| 11–13 | -0.08 | 5% | 14 Aug → | ||
| 13–11 | 0.02 | 20% | 14 Aug → | ||
| 13–8 | -0.02 | 31% | 14 Aug → | ||
| 3–13 | 0.04 | 9% | 14 Aug → | ||
| 16–13 | -0.03 | 13% | 14 Aug → | ||
| 13–4 | -0.01 | 5% | 14 Aug → | ||
| 15–15 | -0.02 | 17% | 14 Aug → | ||
| 10–13 | -0.03 | 17% | 13 Aug → | ||
| 9–13 | -0.08 | 16% | 13 Aug → | ||
| 13–10 | -0.05 | 13% | 13 Aug → | ||
| 13–5 | -0.01 | 18% | 13 Aug → | ||
| 4–9 | -0.15 | 17% | 12 Aug → | ||
| 13–11 | -0.04 | 4% | 12 Aug → | ||
| 3–13 | -0.06 | 17% | 12 Aug → | ||
| 9–13 | -0.07 | 16% | 12 Aug → | ||
| 13–11 | -0.05 | 17% | 12 Aug → | ||
| 9–6 | 0.11 | 9% | 11 Aug → | ||
| 9–13 | 0.06 | 13% | 11 Aug → | ||
| 2–13 | -0.01 | 17% | 11 Aug → | ||
| 6–13 | -0.05 | 10% | 11 Aug → | ||
| 2–13 | -0.11 | 8% | 11 Aug → | ||
| 13–9 | 0.03 | 18% | 11 Aug → | ||
| 4–13 | -0.15 | 0% | 11 Aug → | ||
| 7–13 | -0.06 | 20% | 11 Aug → |
Match data via Leetify.