Tarkanmarkanmies — CS2 Stats
76561198435303595[U:1:475037867]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.03 avg rating
Player DNA
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 ropz 85% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: higher opening-fight frequency; 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. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.3/10 (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 |
|---|---|---|---|---|---|
| B | 28 | 13–15 | 46% | 0.01 | |
| B | 23 | 11–12 | 48% | 0.01 | |
| B | 17 | 8–9 | 47% | -0.01 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 50% | 1.20 | 19.4 |
| Inferno | 7 | 57% | 1.05 | 20.7 |
| Ancient | 6 | 67% | 1.16 | 22.0 |
| Nuke | 6 | 83% | 1.86 | 19.0 |
| Dust2 | 4 | 50% | 0.95 | 14.8 |
| Vertigo | 3 | 67% | 1.23 | 18.0 |
| Anubis | 2 | 0% | 1.05 | 18.5 |
| Overpass | 1 | 0% | 0.47 | 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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4852° — above the 12° 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 | |
|---|---|---|---|---|---|
| 10–13 | -0.04 | 21% | 29 Aug → | ||
| 11–13 | 0.01 | 17% | 29 Aug → | ||
| 4–13 | -0.07 | 14% | 29 Aug → | ||
| 6–13 | 0.07 | 20% | 29 Aug → | ||
| 6–13 | -0.06 | 25% | 29 Aug → | ||
| 5–13 | -0.03 | 26% | 28 Aug → | ||
| 13–11 | 0.00 | 19% | 28 Aug → | ||
| 13–9 | -0.02 | 21% | 28 Aug → | ||
| 13–8 | -0.05 | 19% | 28 Aug → | ||
| 10–13 | -0.05 | 15% | 27 Aug → | ||
| 13–16 | -0.02 | 24% | 27 Aug → | ||
| 14–16 | 0.01 | 21% | 27 Aug → | ||
| 13–5 | 0.08 | 23% | 27 Aug → | ||
| 13–6 | 0.05 | 28% | 27 Aug → | ||
| 13–9 | 0.00 | 19% | 24 Aug → | ||
| 7–13 | -0.04 | 15% | 24 Aug → | ||
| 11–13 | 0.01 | 17% | 24 Aug → | ||
| 7–13 | -0.05 | 20% | 24 Aug → | ||
| 4–13 | -0.05 | 11% | 24 Aug → | ||
| 16–14 | 0.02 | 29% | 24 Aug → | ||
| 8–13 | 0.13 | 9% | 23 Aug → | ||
| 13–7 | 0.02 | 14% | 23 Aug → | ||
| 13–10 | 0.17 | 17% | 23 Aug → | ||
| 5–13 | -0.04 | 19% | 23 Aug → | ||
| 9–13 | -0.05 | 19% | 23 Aug → | ||
| 9–11 | 0.04 | 18% | 22 Aug → | ||
| 13–5 | 0.04 | 31% | 22 Aug → | ||
| 5–13 | -0.06 | 10% | 14 Aug → | ||
| 13–10 | 0.03 | 29% | 14 Aug → | ||
| 7–13 | -0.00 | 38% | 12 Aug → | ||
| 2–13 | -0.11 | 6% | 12 Aug → | ||
| 13–4 | 0.05 | 34% | 12 Aug → | ||
| 11–13 | -0.03 | 18% | 12 Aug → | ||
| 10–13 | 0.05 | 21% | 12 Aug → | ||
| 3–13 | -0.04 | 16% | 12 Aug → | ||
| 13–5 | 0.01 | 48% | 12 Aug → | ||
| 13–4 | 0.09 | 26% | 11 Aug → | ||
| 13–11 | 0.04 | 21% | 11 Aug → | ||
| 16–12 | 0.14 | 17% | 11 Aug → | ||
| 6–9 | -0.10 | 5% | 11 Aug → | ||
| 8–10 | 0.02 | 11% | 10 Aug → | ||
| 6–13 | -0.04 | 22% | 10 Aug → | ||
| 13–7 | 0.04 | 26% | 10 Aug → | ||
| 9–13 | -0.02 | 18% | 10 Aug → | ||
| 9–13 | -0.03 | 13% | 10 Aug → | ||
| 13–10 | 0.04 | 13% | 10 Aug → | ||
| 11–13 | 0.08 | 21% | 7 Aug → | ||
| 13–2 | -0.04 | 19% | 6 Aug → | ||
| 1–13 | -0.03 | 21% | 6 Aug → | ||
| 13–11 | 0.02 | 17% | 6 Aug → | ||
| 7–13 | 0.09 | 38% | 6 Aug → | ||
| 13–5 | -0.02 | 16% | 20 Jul → | ||
| 8–13 | -0.02 | 35% | 6 Jul → | ||
| 6–13 | 0.05 | 17% | 28 Jun → | ||
| 13–8 | 0.04 | 15% | 28 Jun → | ||
| 13–10 | -0.03 | 16% | 8 Jun → | ||
| 13–11 | -0.02 | 14% | 8 Jun → | ||
| 13–6 | -0.00 | 19% | 8 Jun → | ||
| 13–9 | 0.01 | 18% | 7 Jun → | ||
| 13–3 | -0.03 | 17% | 7 Jun → | ||
| 13–8 | 0.04 | 23% | 7 Jun → | ||
| 13–5 | 0.01 | 19% | 7 Jun → | ||
| 9–13 | -0.05 | 23% | 25 May → | ||
| 8–13 | 0.01 | 27% | 18 May → | ||
| 13–5 | -0.00 | 13% | 18 May → | ||
| 5–13 | 0.04 | 17% | 10 May → | ||
| 4–13 | -0.10 | 26% | 20 Apr → | ||
| 8–3 | 0.02 | 10% | 20 Apr → | ||
| 11–13 | 0.01 | 19% | 20 Apr → | ||
| 13–11 | 0.04 | 26% | 20 Apr → | ||
| 13–11 | -0.01 | 17% | 11 Apr → | ||
| 10–13 | 0.04 | 21% | 28 Mar → | ||
| 2–13 | -0.06 | 33% | 28 Mar → | ||
| 13–8 | 0.04 | 30% | 27 Mar → | ||
| 3–13 | -0.07 | 26% | 26 Mar → | ||
| 9–13 | 0.03 | 9% | 26 Mar → | ||
| 9–13 | -0.07 | 33% | 26 Mar → | ||
| 3–13 | -0.01 | 11% | 26 Mar → | ||
| 15–15 | 0.10 | 20% | 26 Mar → | ||
| 9–13 | -0.07 | 19% | 25 Mar → | ||
| 16–14 | 0.05 | 33% | 25 Mar → | ||
| 13–16 | -0.02 | 20% | 24 Mar → | ||
| 13–3 | -0.02 | 29% | 23 Mar → | ||
| 11–13 | -0.04 | 10% | 8 Mar → | ||
| 13–10 | -0.02 | 19% | 8 Mar → | ||
| 10–13 | -0.08 | 15% | 8 Mar → | ||
| 10–13 | -0.01 | 28% | 8 Mar → | ||
| 13–11 | -0.02 | 18% | 8 Mar → | ||
| 11–13 | -0.04 | 4% | 7 Mar → | ||
| 10–13 | 0.00 | 17% | 7 Mar → | ||
| 13–6 | -0.10 | 22% | 7 Mar → | ||
| 9–13 | 0.03 | 10% | 7 Mar → | ||
| 6–1 | 0.13 | 19% | 7 Mar → | ||
| 13–6 | 0.09 | 17% | 7 Mar → | ||
| 7–13 | 0.02 | 9% | 1 Mar → | ||
| 13–9 | 0.02 | 14% | 1 Mar → | ||
| 13–7 | 0.03 | 19% | 1 Mar → | ||
| 13–7 | 0.08 | 25% | 1 Mar → | ||
| 7–13 | 0.06 | 29% | 1 Mar → | ||
| 10–13 | 0.03 | 14% | 1 Mar → |
Match data via Leetify.