☂Nikki — CS2 Stats
76561199003094738[U:1:1042829010]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent counter-strafingStrong CT-side opener
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 92% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower aim profile; lower opening-duel success.
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.
T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 612ms 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 6.5/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 28 | 17–11 | 61% | 0.02 | |
| B | 21 | 11–10 | 52% | 0.00 | |
| A | 20 | 12–8 | 60% | 0.00 | |
| D | 11 | 3–8 | 27% | 0.00 | |
| S | 9 | 6–3 | 67% | -0.00 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 606 | 55% | 1.16 | 17.3 |
| Dust2 | 436 | 44% | 1.10 | 16.7 |
| Anubis | 396 | 52% | 1.10 | 16.9 |
| Inferno | 341 | 52% | 1.21 | 17.8 |
| Mirage | 250 | 45% | 0.95 | 15.2 |
| Overpass | 119 | 55% | 1.15 | 16.8 |
| Vertigo | 70 | 41% | 1.16 | 17.3 |
| Nuke | 57 | 44% | 1.03 | 16.4 |
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.
- 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 0.4937 — 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 31.7592% — 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 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.00 | 20% | 18 Aug → | ||
| 13–4 | 0.03 | 14% | 17 Aug → | ||
| 13–7 | -0.02 | 9% | 16 Aug → | ||
| 6–13 | 0.00 | 15% | 16 Aug → | ||
| 5–13 | -0.04 | 13% | 15 Aug → | ||
| 13–9 | -0.01 | 15% | 14 Aug → | ||
| 14–16 | -0.00 | 32% | 14 Aug → | ||
| 4–13 | -0.06 | 26% | 12 Aug → | ||
| 11–13 | -0.02 | 14% | 9 Aug → | ||
| 12–16 | 0.00 | 13% | 9 Aug → | ||
| 13–7 | -0.06 | 14% | 9 Aug → | ||
| 4–13 | 0.03 | 19% | 8 Aug → | ||
| 13–2 | 0.00 | 33% | 19 May → | ||
| 13–8 | -0.03 | 17% | 19 May → | ||
| 5–13 | 0.05 | 35% | 27 Apr → | ||
| 16–12 | 0.08 | 26% | 27 Apr → | ||
| 8–13 | 0.04 | 21% | 27 Apr → | ||
| 4–13 | -0.02 | 9% | 18 Feb → | ||
| 3–13 | -0.03 | 32% | 18 Feb → | ||
| 2–13 | -0.00 | 16% | 18 Feb → | ||
| 13–6 | 0.07 | 27% | 13 Feb → | ||
| 13–10 | 0.09 | 34% | 13 Feb → | ||
| 13–6 | 0.03 | 28% | 13 Feb → | ||
| 15–15 | 0.05 | 24% | 13 Feb → | ||
| 11–13 | 0.01 | 25% | 13 Feb → | ||
| 13–9 | -0.02 | 17% | 10 Feb → | ||
| 13–11 | -0.07 | 18% | 10 Feb → | ||
| 11–13 | -0.02 | 20% | 10 Feb → | ||
| 10–13 | -0.02 | 20% | 8 Feb → | ||
| 13–10 | -0.02 | 14% | 7 Feb → | ||
| 13–10 | 0.06 | 25% | 2 Feb → | ||
| 13–9 | 0.07 | 25% | 29 Jan → | ||
| 13–8 | -0.03 | 20% | 29 Jan → | ||
| 13–6 | 0.03 | 19% | 29 Jan → | ||
| 13–8 | -0.05 | 10% | 28 Jan → | ||
| 13–11 | -0.02 | 14% | 27 Jan → | ||
| 15–15 | 0.07 | 16% | 27 Jan → | ||
| 10–13 | -0.01 | 18% | 26 Jan → | ||
| 8–13 | 0.08 | 15% | 22 Jan → | ||
| 13–5 | 0.09 | 15% | 22 Jan → | ||
| 7–13 | -0.04 | 13% | 22 Jan → | ||
| 16–13 | 0.03 | 9% | 21 Jan → | ||
| 6–13 | 0.01 | 20% | 19 Jan → | ||
| 13–11 | -0.03 | 19% | 15 Jan → | ||
| 8–13 | 0.05 | 30% | 14 Jan → | ||
| 13–6 | 0.01 | 30% | 14 Jan → | ||
| 13–8 | 0.02 | 29% | 13 Jan → | ||
| 13–7 | -0.03 | 8% | 13 Jan → | ||
| 13–8 | -0.00 | 19% | 13 Jan → | ||
| 16–14 | 0.05 | 20% | 12 Jan → | ||
| 13–9 | 0.02 | 26% | 12 Jan → | ||
| 13–16 | 0.02 | 18% | 10 Jan → | ||
| 9–1 | 0.04 | 31% | 10 Jan → | ||
| 7–13 | -0.02 | 22% | 9 Jan → | ||
| 13–7 | 0.05 | 23% | 8 Jan → | ||
| 13–7 | 0.01 | 9% | 7 Jan → | ||
| 13–10 | 0.07 | 19% | 7 Jan → | ||
| 13–4 | 0.02 | 16% | 3 Jan → | ||
| 11–13 | -0.02 | 10% | 2 Jan → | ||
| 7–13 | -0.05 | 8% | 2 Jan → | ||
| 10–13 | -0.01 | 16% | 30 Dec → | ||
| 13–8 | -0.04 | 24% | 29 Dec → | ||
| 4–13 | -0.05 | 32% | 28 Dec → | ||
| 13–1 | 0.01 | 18% | 27 Dec → | ||
| 6–13 | -0.04 | 42% | 18 Dec → | ||
| 12–10 | 0.11 | 26% | 20 Oct → | ||
| 9–13 | 0.00 | 20% | 2 Oct → | ||
| 13–9 | 0.03 | 23% | 1 Oct → | ||
| 7–13 | 0.05 | 13% | 27 Sept → | ||
| 13–7 | -0.02 | 28% | 6 Sept → | ||
| 8–13 | 0.02 | 10% | 21 Aug → | ||
| 13–16 | 0.01 | 29% | 21 Aug → | ||
| 13–16 | -0.02 | 20% | 17 Aug → | ||
| 17–19 | -0.00 | 20% | 15 Aug → | ||
| 13–5 | 0.06 | 20% | 14 Aug → | ||
| 11–0 | 0.02 | 26% | 13 Aug → | ||
| 16–14 | 0.04 | 34% | 12 Aug → | ||
| 9–13 | -0.01 | 13% | 12 Aug → | ||
| 13–11 | -0.04 | 14% | 12 Aug → | ||
| 13–11 | -0.04 | 15% | 10 Aug → | ||
| 6–13 | -0.04 | 19% | 10 Aug → | ||
| 8–13 | -0.05 | 26% | 6 Aug → | ||
| 2–13 | -0.06 | 21% | 6 Aug → | ||
| 11–13 | -0.00 | 20% | 6 Aug → | ||
| 7–13 | -0.07 | 27% | 5 Aug → | ||
| 13–11 | 0.01 | 19% | 31 Jul → | ||
| 8–13 | 0.00 | 25% | 31 Jul → | ||
| 13–2 | 0.07 | 36% | 31 Jul → | ||
| 9–13 | -0.01 | 13% | 30 Jul → | ||
| 13–8 | 0.08 | 23% | 30 Jul → | ||
| 4–13 | -0.05 | 21% | 26 Jul → | ||
| 16–14 | -0.02 | 15% | 25 Jul → | ||
| 13–8 | 0.03 | 17% | 25 Jul → | ||
| 13–10 | -0.01 | 19% | 22 Jul → | ||
| 13–10 | 0.05 | 25% | 20 Jul → | ||
| 13–5 | 0.02 | 13% | 20 Jul → | ||
| 13–9 | 0.02 | 18% | 18 Jul → | ||
| 13–8 | 0.01 | 16% | 15 Jul → | ||
| 8–13 | -0.03 | 26% | 15 Jul → | ||
| 8–13 | -0.02 | 27% | 4 Jul → |
Match data via Leetify.