Private — CS2 Stats
76561198097445104[U:1:137179376]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 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 62% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
T-side openings. Opening success drops from 36% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 673ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 68% 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 2.4/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 11–15 | 42% | -0.03 | |
| D | 24 | 8–16 | 33% | -0.02 | |
| B | 21 | 10–11 | 48% | -0.02 | |
| D | 13 | 3–10 | 23% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| D | 5 | 1–4 | 20% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.07 | |
| — | 1 | 1–0 | 100% | -0.09 | |
| — | 1 | 0–1 | 0% | -0.08 | |
| — | 1 | 1–0 | 100% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis 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 10.7045% — below the 15% 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 0.3066 — 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 17.2317% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.09 | 4% | 10 Feb → | ||
| 13–7 | -0.09 | 17% | 10 Feb → | ||
| 13–8 | -0.04 | 13% | 17 Jul → | ||
| 7–13 | 0.01 | 20% | 17 Jul → | ||
| 6–13 | -0.08 | 5% | 7 Jun → | ||
| 9–2 | -0.02 | 0% | 7 Jun → | ||
| 7–13 | -0.06 | 9% | 7 Jun → | ||
| 13–5 | -0.02 | 3% | 7 Jun → | ||
| 4–13 | -0.12 | 29% | 14 Jul → | ||
| 12–12 | -0.08 | 8% | 14 Jul → | ||
| 11–13 | -0.02 | 15% | 3 Jul → | ||
| 13–10 | -0.02 | 6% | 14 Apr → | ||
| 6–13 | -0.03 | 14% | 30 Nov → | ||
| 16–9 | -0.00 | 7% | 2 Sept → | ||
| 0–3 | -0.10 | 0% | 2 Sept → | ||
| 4–16 | -0.11 | 18% | 13 Aug → | ||
| 16–8 | 0.00 | 18% | 27 May → | ||
| 3–16 | -0.05 | 5% | 22 May → | ||
| 16–7 | -0.00 | 8% | 20 May → | ||
| 9–16 | -0.07 | 19% | 20 May → | ||
| 14–16 | -0.06 | 8% | 10 Feb → | ||
| 16–7 | -0.02 | 3% | 9 Feb → | ||
| 15–15 | -0.08 | 7% | 22 Jan → | ||
| 15–15 | 0.02 | 11% | 17 Jan → | ||
| 2–16 | -0.09 | 12% | 17 Jan → | ||
| 16–3 | 0.04 | 13% | 15 Jan → | ||
| 1–16 | -0.07 | 15% | 15 Jan → | ||
| 15–15 | -0.07 | 8% | 12 Jan → | ||
| 11–16 | -0.04 | 5% | 7 Jan → | ||
| 16–12 | -0.04 | 14% | 2 Jan → | ||
| 15–15 | -0.06 | 11% | 3 Dec → | ||
| 6–16 | -0.07 | 8% | 26 Nov → | ||
| 5–16 | -0.09 | 15% | 26 Nov → | ||
| 6–16 | -0.04 | 12% | 24 Nov → | ||
| 16–2 | -0.02 | 9% | 24 Nov → | ||
| 13–0 | 0.07 | 15% | 24 Nov → | ||
| 16–11 | -0.06 | 10% | 23 Nov → | ||
| 4–9 | 0.01 | 15% | 22 Nov → | ||
| 12–16 | -0.06 | 18% | 22 Nov → | ||
| 15–15 | -0.04 | 5% | 20 Nov → | ||
| 11–16 | 0.06 | 10% | 20 Nov → | ||
| 7–16 | -0.04 | 9% | 18 Nov → | ||
| 7–9 | -0.06 | 19% | 16 Nov → | ||
| 7–9 | -0.06 | 10% | 16 Nov → | ||
| 16–3 | -0.06 | 15% | 15 Nov → | ||
| 6–16 | -0.06 | 14% | 15 Nov → | ||
| 5–9 | -0.10 | 0% | 12 Nov → | ||
| 16–5 | 0.03 | 8% | 12 Nov → | ||
| 16–10 | 0.00 | 5% | 12 Nov → | ||
| 9–5 | -0.03 | 6% | 11 Nov → | ||
| 6–16 | 0.04 | 13% | 11 Nov → | ||
| 15–15 | -0.02 | 9% | 11 Nov → | ||
| 8–8 | -0.01 | 16% | 10 Nov → | ||
| 9–5 | -0.04 | 3% | 10 Nov → | ||
| 7–9 | -0.04 | 5% | 9 Nov → | ||
| 11–16 | -0.04 | 14% | 9 Nov → | ||
| 1–9 | -0.07 | 18% | 8 Nov → | ||
| 11–16 | -0.05 | 6% | 8 Nov → | ||
| 8–8 | -0.03 | 7% | 6 Nov → | ||
| 7–16 | -0.11 | 8% | 6 Nov → | ||
| 15–15 | -0.00 | 11% | 5 Nov → | ||
| 15–15 | 0.01 | 12% | 4 Nov → | ||
| 7–16 | -0.04 | 22% | 4 Nov → | ||
| 16–14 | 0.01 | 21% | 3 Nov → | ||
| 15–15 | 0.01 | 11% | 2 Nov → | ||
| 9–16 | -0.02 | 9% | 2 Nov → | ||
| 16–13 | -0.07 | 22% | 2 Nov → | ||
| 16–4 | 0.05 | 23% | 2 Nov → | ||
| 9–16 | -0.01 | 13% | 30 Oct → | ||
| 3–16 | -0.09 | 16% | 30 Oct → | ||
| 15–15 | 0.02 | 16% | 29 Oct → | ||
| 13–16 | 0.00 | 9% | 29 Oct → | ||
| 16–12 | -0.06 | 13% | 28 Oct → | ||
| 16–5 | -0.00 | 16% | 28 Oct → | ||
| 15–15 | -0.00 | 19% | 25 Oct → | ||
| 16–13 | -0.03 | 6% | 25 Oct → | ||
| 9–16 | -0.08 | 5% | 25 Oct → | ||
| 16–5 | -0.00 | 13% | 23 Oct → | ||
| 16–4 | 0.09 | 10% | 23 Oct → | ||
| 13–16 | -0.07 | 6% | 23 Oct → | ||
| 16–7 | 0.03 | 9% | 23 Oct → | ||
| 16–11 | -0.03 | 13% | 22 Oct → | ||
| 16–10 | 0.02 | 17% | 22 Oct → | ||
| 5–9 | -0.02 | 6% | 21 Oct → | ||
| 16–11 | -0.01 | 11% | 21 Oct → | ||
| 15–15 | -0.02 | 14% | 16 Oct → | ||
| 16–10 | -0.00 | 13% | 16 Oct → | ||
| 4–9 | -0.04 | 0% | 13 Oct → | ||
| 16–4 | 0.04 | 10% | 13 Oct → | ||
| 6–16 | -0.01 | 11% | 13 Oct → | ||
| 16–8 | 0.07 | 18% | 8 Oct → | ||
| 16–9 | -0.02 | 9% | 8 Oct → | ||
| 6–16 | -0.02 | 10% | 7 Oct → | ||
| 11–16 | -0.06 | 10% | 7 Oct → | ||
| 15–15 | 0.03 | 12% | 2 Oct → | ||
| 15–15 | 0.03 | 12% | 2 Oct → | ||
| 10–16 | 0.01 | 16% | 1 Oct → | ||
| 16–12 | -0.05 | 8% | 1 Oct → | ||
| 16–8 | 0.02 | 14% | 30 Sept → | ||
| 16–11 | 0.05 | 9% | 30 Sept → |
Match data via Leetify.