- — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.04 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 b1t 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 753ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 mirage | B | 63 | 34–29 | 54% | 0.01 |
 inferno | D | 11 | 2–9 | 18% | -0.02 |
 dust2 | A | 8 | 5–3 | 63% | 0.01 |
 anubis | A | 7 | 4–3 | 57% | -0.01 |
 nuke | D | 6 | 1–5 | 17% | -0.02 |
 ancient | — | 3 | 1–2 | 33% | 0.01 |
 overpass | — | 2 | 0–2 | 0% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 45% | 1.12 | 17.4 |
| Dust2 | 15 | 67% | 0.98 | 15.7 |
| Ancient | 11 | 45% | 1.14 | 21.2 |
| Inferno | 7 | 29% | 0.93 | 17.1 |
| Nuke | 7 | 43% | 1.47 | 24.0 |
| Anubis | 7 | 43% | 1.18 | 17.0 |
| Overpass | 5 | 80% | 1.15 | 17.6 |
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.
- 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 752.9748ms — 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 0.3241 — 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 36.5814% — 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.
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 | |
|---|---|---|---|---|---|
| inferno | 4–13 | -0.07 | 17% | 3 May → | |
| dust2 | 13–10 | 0.02 | 19% | 26 Apr → | |
| nuke | 1–13 | -0.04 | 22% | 26 Apr → | |
| mirage | 13–7 | -0.05 | 30% | 24 Apr → | |
| mirage | 13–11 | 0.12 | 40% | 19 Apr → | |
| inferno | 13–7 | -0.03 | 22% | 13 Apr → | |
| inferno | 2–9 | -0.15 | 70% | 10 Apr → | |
| mirage | 9–13 | 0.06 | 32% | 10 Apr → | |
| mirage | 13–11 | 0.01 | 44% | 10 Apr → | |
| mirage | 13–6 | -0.05 | 23% | 9 Apr → | |
| mirage | 10–13 | 0.07 | 33% | 9 Apr → | |
| mirage | 13–8 | -0.01 | 18% | 9 Apr → | |
| mirage | 8–13 | 0.01 | 17% | 8 Apr → | |
| mirage | 13–7 | 0.02 | 21% | 8 Apr → | |
| mirage | 3–7 | -0.06 | 40% | 8 Apr → | |
| mirage | 13–3 | -0.08 | 19% | 8 Apr → | |
| mirage | 13–8 | 0.03 | 39% | 7 Apr → | |
| mirage | 10–13 | 0.05 | 32% | 7 Apr → | |
| inferno | 9–1 | 0.10 | 20% | 7 Apr → | |
| dust2 | 13–5 | 0.11 | 34% | 7 Apr → | |
| nuke | 7–13 | -0.01 | 30% | 6 Apr → | |
| dust2 | 11–13 | 0.02 | 38% | 6 Apr → | |
| mirage | 10–13 | 0.04 | 20% | 6 Apr → | |
| mirage | 7–13 | -0.05 | 29% | 6 Apr → | |
| mirage | 7–13 | -0.03 | 36% | 6 Apr → | |
| mirage | 6–13 | 0.05 | 41% | 6 Apr → | |
| nuke | 14–16 | -0.06 | 67% | 5 Apr → | |
| inferno | 11–13 | -0.06 | 47% | 5 Apr → | |
| mirage | 9–13 | -0.02 | 36% | 5 Apr → | |
| mirage | 13–2 | -0.01 | 38% | 5 Apr → | |
| mirage | 13–2 | 0.15 | 43% | 5 Apr → | |
| mirage | 6–1 | 0.05 | 50% | 5 Apr → | |
| mirage | 3–13 | 0.03 | 22% | 5 Apr → | |
| mirage | 3–13 | 0.01 | 38% | 4 Apr → | |
| mirage | 6–13 | -0.03 | 27% | 4 Apr → | |
| mirage | 13–6 | -0.04 | 45% | 4 Apr → | |
| mirage | 13–16 | -0.02 | 35% | 4 Apr → | |
| mirage | 6–13 | -0.01 | 25% | 4 Apr → | |
| dust2 | 13–7 | -0.03 | 18% | 4 Apr → | |
| anubis | 1–8 | -0.02 | 20% | 4 Apr → | |
| dust2 | 13–10 | -0.07 | 16% | 4 Apr → | |
| mirage | 13–9 | -0.03 | 31% | 3 Apr → | |
| inferno | 9–13 | 0.04 | 25% | 3 Apr → | |
| dust2 | 6–13 | -0.08 | 23% | 3 Apr → | |
| dust2 | 11–13 | 0.00 | 39% | 3 Apr → | |
| anubis | 8–13 | 0.05 | 33% | 3 Apr → | |
| nuke | 13–10 | 0.01 | 17% | 3 Apr → | |
| mirage | 12–12 | 0.00 | 37% | 3 Apr → | |
| mirage | 13–11 | -0.02 | 29% | 3 Apr → | |
| mirage | 4–13 | -0.04 | 15% | 3 Apr → | |
| mirage | 13–9 | 0.05 | 26% | 3 Apr → | |
| mirage | 13–3 | 0.00 | 25% | 3 Apr → | |
| anubis | 16–14 | 0.00 | 23% | 2 Apr → | |
| anubis | 13–7 | -0.00 | 28% | 1 Apr → | |
| mirage | 13–3 | -0.00 | 19% | 1 Apr → | |
| mirage | 13–11 | -0.07 | 28% | 1 Apr → | |
| mirage | 2–13 | -0.06 | 33% | 1 Apr → | |
| mirage | 13–7 | 0.05 | 32% | 1 Apr → | |
| mirage | 13–7 | -0.01 | 29% | 1 Apr → | |
| mirage | 10–13 | 0.02 | 41% | 31 Mar → | |
| mirage | 13–8 | 0.09 | 27% | 31 Mar → | |
| mirage | 13–7 | -0.04 | 28% | 31 Mar → | |
| mirage | 6–13 | -0.05 | 24% | 31 Mar → | |
| inferno | 4–13 | -0.05 | 24% | 30 Mar → | |
| inferno | 9–13 | -0.04 | 29% | 30 Mar → | |
| ancient | 16–14 | -0.01 | 30% | 30 Mar → | |
| nuke | 1–9 | 0.02 | 0% | 29 Mar → | |
| overpass | 14–16 | -0.05 | 26% | 29 Mar → | |
| dust2 | 13–3 | 0.10 | 33% | 29 Mar → | |
| mirage | 13–16 | -0.04 | 37% | 29 Mar → | |
| inferno | 4–13 | 0.03 | 40% | 29 Mar → | |
| nuke | 11–13 | -0.07 | 25% | 29 Mar → | |
| mirage | 5–13 | -0.01 | 23% | 29 Mar → | |
| mirage | 9–13 | 0.10 | 26% | 29 Mar → | |
| mirage | 4–13 | -0.03 | 30% | 29 Mar → | |
| inferno | 8–13 | 0.01 | 36% | 29 Mar → | |
| mirage | 13–11 | 0.01 | 44% | 29 Mar → | |
| mirage | 0–13 | 0.03 | 21% | 29 Mar → | |
| mirage | 13–5 | -0.04 | 33% | 29 Mar → | |
| mirage | 13–3 | -0.00 | 37% | 29 Mar → | |
| mirage | 7–13 | 0.04 | 29% | 29 Mar → | |
| mirage | 13–10 | -0.05 | 26% | 28 Mar → | |
| mirage | 12–0 | 0.07 | 30% | 28 Mar → | |
| mirage | 13–3 | 0.04 | 25% | 28 Mar → | |
| mirage | 8–13 | 0.01 | 31% | 28 Mar → | |
| mirage | 13–4 | 0.07 | 30% | 28 Mar → | |
| mirage | 13–10 | 0.02 | 15% | 28 Mar → | |
| mirage | 13–10 | -0.01 | 25% | 28 Mar → | |
| mirage | 13–7 | 0.04 | 27% | 28 Mar → | |
| mirage | 12–12 | 0.01 | 40% | 27 Mar → | |
| mirage | 13–6 | -0.01 | 35% | 27 Mar → | |
| ancient | 6–12 | 0.07 | 28% | 26 Mar → | |
| anubis | 13–11 | -0.06 | 27% | 26 Mar → | |
| ancient | 7–13 | -0.03 | 36% | 25 Mar → | |
| anubis | 9–13 | -0.04 | 17% | 25 Mar → | |
| inferno | 9–13 | 0.01 | 31% | 25 Mar → | |
| mirage | 8–13 | 0.04 | 19% | 25 Mar → | |
| mirage | 16–13 | -0.04 | 20% | 24 Mar → | |
| overpass | 5–13 | -0.02 | 20% | 24 Mar → | |
| anubis | 13–10 | 0.02 | 22% | 24 Mar → |
Match data via Leetify.