Tarkky — CS2 Stats
FR76561198286405075[U:1:326139347]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.04 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong 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 94% playstyle similarity
Most alike: utility contribution, 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 87 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 49% on CT to 30% 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 6.8/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | 0.00 | |
| D | 22 | 7–15 | 32% | -0.01 | |
| B | 21 | 11–10 | 52% | -0.00 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| — | 4 | 0–4 | 0% | -0.00 | |
| — | 3 | 1–2 | 33% | -0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 505 | 59% | 1.11 | 16.3 |
| Anubis | 406 | 59% | 1.17 | 16.0 |
| Ancient | 385 | 49% | 1.13 | 16.2 |
| Nuke | 228 | 52% | 1.10 | 16.1 |
| Inferno | 226 | 58% | 1.16 | 16.1 |
| Overpass | 124 | 61% | 1.10 | 15.2 |
| Vertigo | 77 | 60% | 1.12 | 16.3 |
| Train | 74 | 65% | 1.09 | 16.1 |
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 29.6982% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.03 | 26% | 27 Aug → | ||
| 7–13 | 0.00 | 22% | 27 Aug → | ||
| 16–13 | 0.00 | 28% | 25 Aug → | ||
| 13–7 | 0.03 | 25% | 25 Aug → | ||
| 13–3 | 0.00 | 0% | 24 Aug → | ||
| 13–3 | 0.16 | 20% | 24 Aug → | ||
| 13–6 | 0.02 | 19% | 24 Aug → | ||
| 9–13 | 0.02 | 29% | 24 Aug → | ||
| 8–13 | -0.03 | 28% | 22 Aug → | ||
| 13–4 | 0.02 | 28% | 22 Aug → | ||
| 16–14 | -0.02 | 15% | 22 Aug → | ||
| 10–13 | 0.01 | 24% | 21 Aug → | ||
| 9–13 | -0.07 | 15% | 21 Aug → | ||
| 13–2 | 0.00 | 24% | 20 Aug → | ||
| 3–13 | -0.04 | 29% | 20 Aug → | ||
| 13–9 | -0.02 | 22% | 20 Aug → | ||
| 13–6 | -0.02 | 40% | 18 Aug → | ||
| 2–13 | -0.10 | 0% | 18 Aug → | ||
| 7–13 | -0.01 | 21% | 18 Aug → | ||
| 13–5 | 0.06 | 15% | 17 Aug → | ||
| 3–13 | -0.02 | 11% | 15 Aug → | ||
| 8–13 | -0.02 | 13% | 15 Aug → | ||
| 13–9 | -0.00 | 13% | 15 Aug → | ||
| 13–3 | 0.00 | 24% | 14 Aug → | ||
| 13–10 | 0.05 | 26% | 14 Aug → | ||
| 9–13 | 0.03 | 24% | 14 Aug → | ||
| 13–1 | 0.08 | 24% | 14 Aug → | ||
| 13–16 | -0.01 | 27% | 14 Aug → | ||
| 8–13 | 0.01 | 32% | 14 Aug → | ||
| 17–19 | 0.01 | 19% | 11 Aug → | ||
| 5–13 | -0.05 | 16% | 11 Aug → | ||
| 7–13 | 0.05 | 33% | 11 Aug → | ||
| 13–8 | 0.07 | 26% | 11 Aug → | ||
| 8–13 | -0.06 | 35% | 4 Aug → | ||
| 7–13 | -0.07 | 29% | 4 Aug → | ||
| 6–13 | -0.09 | 23% | 4 Aug → | ||
| 13–7 | 0.07 | 39% | 4 Aug → | ||
| 1–13 | -0.08 | 37% | 4 Aug → | ||
| 13–9 | -0.01 | 24% | 3 Aug → | ||
| 13–11 | -0.01 | 24% | 3 Aug → | ||
| 4–13 | -0.05 | 7% | 3 Aug → | ||
| 13–6 | 0.07 | 25% | 3 Aug → | ||
| 12–16 | -0.01 | 33% | 3 Aug → | ||
| 13–6 | 0.05 | 34% | 3 Aug → | ||
| 7–13 | -0.06 | 38% | 2 Aug → | ||
| 10–13 | -0.01 | 22% | 2 Aug → | ||
| 13–3 | -0.02 | 18% | 2 Aug → | ||
| 13–6 | 0.05 | 21% | 2 Aug → | ||
| 7–13 | 0.04 | 10% | 19 Jul → | ||
| 13–10 | -0.00 | 37% | 19 Jul → | ||
| 16–13 | 0.09 | 27% | 19 Jul → | ||
| 13–10 | -0.07 | 11% | 2 Jul → | ||
| 8–13 | -0.05 | 29% | 1 Jul → | ||
| 19–16 | 0.00 | 24% | 25 Jun → | ||
| 13–7 | 0.10 | 33% | 22 Jun → | ||
| 10–13 | -0.02 | 19% | 15 Jun → | ||
| 7–13 | 0.01 | 20% | 12 Jun → | ||
| 11–13 | -0.04 | 10% | 12 Jun → | ||
| 16–13 | 0.02 | 16% | 10 Jun → | ||
| 7–13 | 0.02 | 13% | 10 Jun → | ||
| 13–8 | 0.04 | 28% | 10 Jun → | ||
| 2–13 | -0.06 | 29% | 9 Jun → | ||
| 13–5 | -0.00 | 27% | 9 Jun → | ||
| 7–13 | -0.03 | 16% | 9 Jun → | ||
| 7–13 | -0.02 | 39% | 6 Jun → | ||
| 14–16 | -0.01 | 8% | 6 Jun → | ||
| 3–13 | -0.00 | 10% | 6 Jun → | ||
| 3–13 | -0.05 | 8% | 6 Jun → | ||
| 8–13 | -0.04 | 32% | 5 Jun → | ||
| 3–13 | -0.04 | 22% | 5 Jun → | ||
| 7–13 | -0.00 | 20% | 31 May → | ||
| 9–13 | -0.05 | 17% | 30 May → | ||
| 1–13 | -0.07 | 21% | 30 May → | ||
| 13–11 | 0.04 | 23% | 29 May → | ||
| 13–10 | -0.02 | 6% | 29 May → | ||
| 4–13 | -0.03 | 19% | 29 May → | ||
| 3–13 | -0.03 | 19% | 29 May → | ||
| 13–8 | -0.04 | 14% | 28 May → | ||
| 16–19 | 0.02 | 31% | 28 May → | ||
| 6–13 | 0.01 | 17% | 28 May → | ||
| 5–13 | -0.04 | 17% | 25 May → | ||
| 6–13 | -0.06 | 45% | 25 May → | ||
| 8–13 | 0.03 | 35% | 13 May → | ||
| 4–13 | -0.06 | 10% | 13 May → | ||
| 16–19 | 0.02 | 27% | 12 May → | ||
| 8–13 | -0.04 | 24% | 12 May → | ||
| 11–13 | 0.03 | 31% | 4 May → | ||
| 5–13 | -0.06 | 24% | 4 May → | ||
| 5–13 | -0.03 | 24% | 4 May → | ||
| 7–13 | -0.05 | 21% | 4 May → | ||
| 13–16 | 0.00 | 0% | 3 May → | ||
| 4–13 | -0.00 | 22% | 3 May → | ||
| 10–13 | -0.04 | 12% | 3 May → | ||
| 13–3 | 0.10 | 28% | 3 May → | ||
| 13–9 | 0.03 | 26% | 3 May → | ||
| 3–13 | -0.03 | 28% | 30 Apr → | ||
| 1–13 | -0.10 | 32% | 30 Apr → | ||
| 13–4 | 0.06 | 27% | 28 Apr → | ||
| 7–13 | -0.03 | 8% | 28 Apr → | ||
| 10–13 | -0.02 | 25% | 28 Apr → |
Match data via Leetify.