Nifty♿♡ — CS2 Stats
76561198273782276[U:1:313516548]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingStrong CT-side openerLimited utility dependence
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 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Strengths
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 44% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 693ms 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 5.2/10 (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 | 26 | 12–14 | 46% | -0.01 | |
| D | 15 | 4–11 | 27% | -0.01 | |
| B | 13 | 6–7 | 46% | -0.03 | |
| C | 13 | 5–8 | 38% | -0.02 | |
| palacio | C | 9 | 4–5 | 44% | -0.01 |
| golden | B | 8 | 4–4 | 50% | 0.01 |
| C | 5 | 2–3 | 40% | -0.01 | |
| — | 3 | 3–0 | 100% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| boulder | — | 1 | 0–1 | 0% | 0.02 |
| warden | — | 1 | 1–0 | 100% | -0.05 |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Mirage 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 13.8436% — 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 0.3542 — 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 24.8868% — 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.
27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.04 | 26% | 20 Jul → | ||
| 13–1 | 0.07 | 13% | 20 Jul → | ||
| 4–13 | -0.01 | 12% | 9 Jul → | ||
| 13–11 | -0.01 | 24% | 9 Jul → | ||
| 13–7 | -0.02 | 14% | 9 Jul → | ||
| boulder | 6–13 | 0.02 | 29% | 9 Jul → | |
| 6–13 | -0.11 | 11% | 9 Jul → | ||
| 11–13 | 0.03 | 15% | 23 Mar → | ||
| 7–13 | -0.03 | 12% | 22 Mar → | ||
| 13–4 | 0.07 | 19% | 22 Mar → | ||
| 2–13 | -0.04 | 8% | 21 Mar → | ||
| 13–2 | -0.03 | 3% | 19 Mar → | ||
| warden | 13–5 | -0.05 | 7% | 28 Jan → | |
| 13–8 | 0.03 | 8% | 27 Jan → | ||
| 12–12 | -0.07 | 9% | 27 Jan → | ||
| 2–9 | 0.00 | 19% | 20 Jan → | ||
| 11–13 | 0.02 | 17% | 20 Jan → | ||
| 13–11 | -0.03 | 8% | 28 Oct → | ||
| 13–8 | -0.09 | 9% | 23 Oct → | ||
| palacio | 3–13 | -0.05 | 6% | 20 Oct → | |
| 11–13 | -0.01 | 5% | 20 Oct → | ||
| 12–12 | -0.04 | 15% | 18 Oct → | ||
| 12–12 | -0.04 | 19% | 17 Oct → | ||
| 2–13 | -0.08 | 13% | 16 Oct → | ||
| 3–13 | -0.06 | 17% | 16 Oct → | ||
| palacio | 13–6 | -0.08 | 19% | 16 Oct → | |
| 13–11 | -0.05 | 8% | 14 Oct → | ||
| golden | 12–12 | -0.04 | 21% | 14 Oct → | |
| palacio | 12–12 | -0.03 | 20% | 13 Oct → | |
| 13–10 | -0.08 | 7% | 13 Oct → | ||
| golden | 13–8 | -0.03 | 13% | 11 Oct → | |
| 13–2 | 0.02 | 14% | 7 Oct → | ||
| golden | 13–1 | 0.10 | 15% | 6 Oct → | |
| palacio | 12–12 | -0.01 | 13% | 6 Oct → | |
| 13–3 | 0.00 | 14% | 6 Oct → | ||
| palacio | 13–4 | 0.02 | 14% | 6 Oct → | |
| golden | 7–13 | 0.01 | 11% | 6 Oct → | |
| 13–3 | -0.03 | 23% | 6 Oct → | ||
| palacio | 11–13 | -0.03 | 18% | 6 Oct → | |
| 9–2 | 0.01 | 22% | 5 Oct → | ||
| 3–8 | 0.06 | 18% | 5 Oct → | ||
| 7–13 | -0.04 | 12% | 4 Oct → | ||
| palacio | 13–10 | -0.02 | 12% | 4 Oct → | |
| golden | 13–10 | -0.05 | 13% | 4 Oct → | |
| palacio | 13–3 | 0.02 | 18% | 4 Oct → | |
| golden | 13–8 | 0.01 | 11% | 4 Oct → | |
| 6–13 | 0.00 | 14% | 4 Oct → | ||
| 13–8 | -0.02 | 14% | 2 Oct → | ||
| 13–10 | -0.01 | 19% | 2 Oct → | ||
| golden | 11–13 | 0.01 | 9% | 2 Oct → | |
| palacio | 6–13 | 0.08 | 16% | 2 Oct → | |
| golden | 6–13 | 0.08 | 25% | 2 Oct → | |
| 13–5 | 0.10 | 15% | 30 Sept → | ||
| 13–8 | -0.01 | 12% | 29 Sept → | ||
| 2–13 | -0.02 | 9% | 26 Sept → | ||
| 11–13 | -0.02 | 18% | 26 Sept → | ||
| 1–12 | -0.04 | 8% | 26 Sept → | ||
| 9–13 | 0.01 | 20% | 24 Sept → | ||
| 12–12 | 0.01 | 20% | 24 Sept → | ||
| 13–1 | 0.07 | 3% | 24 Sept → | ||
| 2–13 | -0.05 | 21% | 24 Sept → | ||
| 13–7 | -0.02 | 29% | 24 Sept → | ||
| 7–13 | -0.01 | 25% | 22 Sept → | ||
| 4–13 | -0.03 | 15% | 22 Sept → | ||
| 11–13 | 0.01 | 16% | 22 Sept → | ||
| 12–12 | -0.02 | 20% | 22 Sept → | ||
| 8–13 | -0.01 | 10% | 21 Sept → | ||
| 13–8 | -0.02 | 20% | 21 Sept → | ||
| 4–13 | 0.02 | 28% | 21 Sept → | ||
| 9–13 | -0.03 | 11% | 21 Sept → | ||
| 13–7 | 0.04 | 17% | 21 Sept → | ||
| 6–13 | 0.05 | 20% | 21 Sept → | ||
| 8–13 | -0.07 | 21% | 21 Sept → | ||
| 13–8 | -0.05 | 12% | 21 Sept → | ||
| 13–3 | -0.01 | 21% | 21 Sept → | ||
| 6–8 | 0.02 | 13% | 21 Sept → | ||
| 12–12 | -0.02 | 18% | 20 Sept → | ||
| 1–6 | -0.03 | 25% | 20 Sept → | ||
| 2–13 | -0.02 | 11% | 20 Sept → | ||
| 13–11 | 0.00 | 12% | 20 Sept → | ||
| 8–13 | -0.04 | 19% | 20 Sept → | ||
| 13–7 | 0.01 | 14% | 20 Sept → | ||
| 5–13 | -0.07 | 19% | 20 Sept → | ||
| 9–13 | -0.02 | 13% | 20 Sept → | ||
| 13–9 | -0.07 | 14% | 20 Sept → | ||
| 13–11 | -0.07 | 13% | 20 Sept → | ||
| 10–13 | -0.06 | 16% | 20 Sept → | ||
| 3–13 | -0.03 | 10% | 20 Sept → | ||
| 9–13 | -0.04 | 16% | 20 Sept → | ||
| 7–13 | -0.03 | 16% | 20 Sept → | ||
| 10–13 | 0.04 | 9% | 20 Sept → | ||
| 10–13 | -0.04 | 13% | 19 Sept → | ||
| 13–10 | -0.04 | 17% | 19 Sept → | ||
| 13–0 | -0.02 | 23% | 19 Sept → | ||
| 5–13 | -0.03 | 33% | 19 Sept → | ||
| 10–13 | -0.03 | 12% | 19 Sept → | ||
| 13–5 | -0.04 | 9% | 19 Sept → | ||
| 8–13 | -0.04 | 13% | 19 Sept → | ||
| 10–1 | 0.01 | 8% | 18 Sept → | ||
| 13–5 | 0.07 | 20% | 18 Sept → |
Match data via Leetify.