BestLegendary — CS2 Stats
76561198372749810[U:1:412484082]Steam profile ↗
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 NiKo 57% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 818ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 57% 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 1.4/10 (Learning), 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 | 36 | 17–19 | 47% | -0.08 | |
| C | 30 | 12–18 | 40% | -0.08 | |
| B | 25 | 12–13 | 48% | -0.07 | |
| — | 4 | 0–4 | 0% | -0.04 | |
| — | 2 | 1–1 | 50% | -0.08 | |
| — | 2 | 1–1 | 50% | -0.07 | |
| — | 1 | 0–1 | 0% | -0.12 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (40% over 30). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.2063% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 818.0393ms — above the 700ms mark we flag
- 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 0.1072 — below the 0.5 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 30 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.08 | 13% | 26 Nov → | ||
| 13–11 | -0.09 | 12% | 11 Oct → | ||
| 13–7 | -0.08 | 7% | 19 May → | ||
| 4–13 | -0.06 | 6% | 6 May → | ||
| 3–13 | -0.11 | 13% | 10 Apr → | ||
| 13–4 | -0.05 | 9% | 18 Dec → | ||
| 7–13 | 0.04 | 10% | 16 Nov → | ||
| 7–13 | -0.07 | 15% | 20 Oct → | ||
| 13–10 | -0.06 | 6% | 14 Sept → | ||
| 11–13 | -0.06 | 9% | 22 Aug → | ||
| 1–13 | -0.14 | 20% | 22 Aug → | ||
| 12–9 | -0.02 | 11% | 13 Aug → | ||
| 1–13 | -0.12 | 8% | 13 Aug → | ||
| 7–13 | -0.09 | 25% | 6 Aug → | ||
| 6–13 | -0.06 | 16% | 6 Aug → | ||
| 9–13 | -0.07 | 14% | 6 Aug → | ||
| 3–13 | -0.12 | 22% | 6 Aug → | ||
| 13–11 | -0.12 | 0% | 6 Aug → | ||
| 9–13 | -0.09 | 12% | 2 Aug → | ||
| 13–8 | -0.09 | 11% | 2 Aug → | ||
| 11–13 | -0.04 | 9% | 26 Jul → | ||
| 13–10 | -0.13 | 5% | 26 Jul → | ||
| 8–13 | -0.09 | 7% | 19 Jul → | ||
| 7–13 | -0.10 | 10% | 19 Jul → | ||
| 6–13 | -0.09 | 19% | 19 Jul → | ||
| 13–11 | -0.10 | 11% | 14 Jun → | ||
| 13–9 | -0.08 | 15% | 2 Jun → | ||
| 13–7 | -0.09 | 18% | 2 Jun → | ||
| 13–9 | -0.11 | 20% | 29 May → | ||
| 9–13 | -0.07 | 18% | 28 May → | ||
| 9–13 | -0.08 | 17% | 26 May → | ||
| 2–13 | -0.11 | 10% | 15 May → | ||
| 4–13 | -0.13 | 10% | 15 May → | ||
| 1–13 | -0.11 | 8% | 14 May → | ||
| 3–13 | -0.07 | 0% | 14 May → | ||
| 8–13 | -0.06 | 12% | 14 May → | ||
| 13–7 | -0.03 | 12% | 14 May → | ||
| 0–13 | -0.04 | 20% | 14 May → | ||
| 0–13 | -0.07 | 0% | 14 May → | ||
| 13–7 | 0.03 | 18% | 9 May → | ||
| 5–13 | -0.09 | 9% | 9 May → | ||
| 13–10 | -0.00 | 20% | 9 May → | ||
| 8–13 | -0.10 | 10% | 7 May → | ||
| 13–7 | -0.10 | 8% | 7 May → | ||
| 13–7 | -0.10 | 21% | 30 Apr → | ||
| 13–1 | -0.03 | 4% | 30 Apr → | ||
| 13–8 | -0.04 | 7% | 30 Apr → | ||
| 13–11 | -0.07 | 13% | 29 Apr → | ||
| 13–10 | -0.05 | 10% | 27 Apr → | ||
| 4–13 | -0.12 | 12% | 16 Apr → | ||
| 1–13 | -0.18 | 13% | 11 Apr → | ||
| 12–1 | -0.05 | 16% | 11 Apr → | ||
| 13–10 | -0.10 | 12% | 10 Apr → | ||
| 13–9 | -0.04 | 7% | 10 Apr → | ||
| 6–13 | -0.11 | 9% | 10 Apr → | ||
| 3–13 | -0.13 | 9% | 10 Apr → | ||
| 1–10 | -0.05 | 14% | 10 Apr → | ||
| 13–6 | -0.08 | 14% | 10 Apr → | ||
| 10–2 | 0.04 | 7% | 10 Apr → | ||
| 13–2 | -0.00 | 15% | 9 Apr → | ||
| 3–13 | -0.15 | 14% | 9 Apr → | ||
| 12–12 | -0.03 | 8% | 9 Apr → | ||
| 13–11 | -0.04 | 9% | 9 Apr → | ||
| 13–6 | -0.12 | 8% | 9 Apr → | ||
| 11–13 | -0.06 | 10% | 9 Apr → | ||
| 10–13 | -0.07 | 22% | 9 Apr → | ||
| 7–13 | -0.05 | 9% | 9 Apr → | ||
| 13–7 | -0.01 | 9% | 2 Apr → | ||
| 12–12 | -0.07 | 4% | 2 Apr → | ||
| 13–8 | -0.09 | 23% | 2 Apr → | ||
| 13–9 | -0.07 | 10% | 28 Mar → | ||
| 13–8 | -0.08 | 9% | 28 Mar → | ||
| 13–9 | -0.08 | 5% | 28 Mar → | ||
| 10–13 | -0.06 | 5% | 28 Mar → | ||
| 8–13 | -0.09 | 10% | 26 Mar → | ||
| 6–13 | -0.05 | 18% | 26 Mar → | ||
| 13–7 | -0.01 | 12% | 26 Mar → | ||
| 13–4 | -0.00 | 9% | 26 Mar → | ||
| 13–6 | -0.04 | 8% | 26 Mar → | ||
| 2–13 | -0.16 | 9% | 25 Mar → | ||
| 9–13 | -0.10 | 3% | 25 Mar → | ||
| 13–9 | -0.13 | 7% | 22 Mar → | ||
| 13–7 | -0.10 | 10% | 8 Mar → | ||
| 1–13 | -0.09 | 12% | 8 Mar → | ||
| 12–12 | -0.07 | 8% | 7 Mar → | ||
| 2–13 | -0.10 | 17% | 7 Mar → | ||
| 7–13 | -0.07 | 8% | 7 Mar → | ||
| 7–13 | -0.12 | 20% | 7 Mar → | ||
| 13–11 | -0.07 | 10% | 28 Feb → | ||
| 13–8 | -0.09 | 12% | 28 Feb → | ||
| 11–13 | -0.04 | 15% | 10 Feb → | ||
| 9–4 | -0.02 | 23% | 11 Jan → | ||
| 13–4 | -0.02 | 9% | 14 Nov → | ||
| 12–12 | -0.06 | 9% | 14 Nov → | ||
| 7–13 | -0.02 | 15% | 14 Nov → | ||
| 1–13 | -0.11 | 8% | 14 Nov → | ||
| 4–13 | -0.11 | 23% | 14 Nov → | ||
| 9–13 | -0.09 | 17% | 12 Nov → | ||
| 8–13 | -0.13 | 3% | 12 Nov → | ||
| 9–13 | -0.08 | 0% | 12 Nov → |
Match data via Leetify.