nidaa1 — CS2 Stats
76561198066715425[U:1:106449697]
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.08 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 device 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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. 580ms 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 7.0/10 (Strong), 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 | 37 | 18–19 | 49% | 0.04 | |
| A | 29 | 16–13 | 55% | 0.02 | |
| B | 17 | 9–8 | 53% | 0.04 | |
| A | 10 | 6–4 | 60% | 0.07 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.09 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (49% over 37). Start with the 6 essential Dust 2 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 |
|---|---|---|---|---|
| Dust2 | 44 | 57% | 1.01 | 13.1 |
| Mirage | 37 | 62% | 1.04 | 13.9 |
| Inferno | 15 | 40% | 1.04 | 12.5 |
| Ancient | 10 | 50% | 0.98 | 18.1 |
| Nuke | 8 | 50% | 0.74 | 13.3 |
| Anubis | 6 | 50% | 0.98 | 14.8 |
| Overpass | 4 | 25% | 0.65 | 9.0 |
| Cache | 2 | 0% | 0.93 | 13.5 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
49% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.02 | 21% | 6 Aug → | ||
| 6–13 | -0.05 | 36% | 6 Aug → | ||
| 11–13 | 0.00 | 33% | 6 Aug → | ||
| 13–6 | 0.03 | 30% | 5 Aug → | ||
| 13–3 | 0.04 | 25% | 5 Aug → | ||
| 13–7 | -0.01 | 44% | 5 Aug → | ||
| 13–8 | -0.01 | 31% | 5 Aug → | ||
| 9–13 | 0.00 | 29% | 4 Aug → | ||
| 2–13 | -0.00 | 29% | 3 Aug → | ||
| 4–13 | -0.11 | 14% | 3 Aug → | ||
| 2–13 | 0.00 | 24% | 30 Jul → | ||
| 16–14 | 0.03 | 27% | 28 Jul → | ||
| 4–13 | 0.14 | 35% | 26 Jul → | ||
| 7–13 | 0.01 | 27% | 26 Jul → | ||
| 12–12 | 0.01 | 31% | 25 Jul → | ||
| 3–0 | 0.22 | 83% | 25 Jul → | ||
| 13–7 | 0.03 | 31% | 25 Jul → | ||
| 9–13 | 0.00 | 23% | 23 Jul → | ||
| 13–6 | 0.19 | 42% | 23 Jul → | ||
| 13–9 | 0.08 | 36% | 23 Jul → | ||
| 13–3 | 0.15 | 32% | 21 Jul → | ||
| 6–13 | 0.07 | 26% | 21 Jul → | ||
| 13–4 | 0.00 | 19% | 21 Jul → | ||
| 13–7 | 0.06 | 38% | 21 Jul → | ||
| 10–13 | 0.09 | 29% | 21 Jul → | ||
| 6–13 | -0.00 | 22% | 15 Jul → | ||
| 6–13 | 0.02 | 50% | 15 Jul → | ||
| 13–4 | 0.10 | 28% | 15 Jul → | ||
| 13–8 | -0.01 | 30% | 13 Jul → | ||
| 14–16 | -0.03 | 20% | 13 Jul → | ||
| 13–10 | -0.01 | 23% | 12 Jul → | ||
| 9–13 | 0.05 | 28% | 12 Jul → | ||
| 9–13 | 0.04 | 35% | 12 Jul → | ||
| 13–9 | 0.05 | 37% | 11 Jul → | ||
| 6–13 | -0.09 | 50% | 11 Jul → | ||
| 13–11 | 0.06 | 25% | 9 Jul → | ||
| 6–13 | -0.01 | 39% | 9 Jul → | ||
| 10–13 | 0.15 | 31% | 5 Jul → | ||
| 4–13 | 0.01 | 28% | 5 Jul → | ||
| 13–9 | 0.13 | 28% | 5 Jul → | ||
| 13–9 | 0.06 | 32% | 4 Jul → | ||
| 5–13 | -0.03 | 33% | 28 Jun → | ||
| 7–13 | -0.05 | 42% | 28 Jun → | ||
| 3–13 | -0.04 | 21% | 23 Jun → | ||
| 13–11 | 0.03 | 28% | 16 Jun → | ||
| 5–13 | 0.04 | 26% | 16 Jun → | ||
| 13–5 | 0.06 | 26% | 14 Jun → | ||
| 13–11 | 0.05 | 33% | 14 Jun → | ||
| 10–0 | 0.01 | 21% | 14 Jun → | ||
| 13–4 | 0.04 | 32% | 11 Jun → | ||
| 9–13 | 0.06 | 33% | 10 Jun → | ||
| 13–0 | 0.16 | 26% | 10 Jun → | ||
| 3–13 | -0.00 | 19% | 10 Jun → | ||
| 13–0 | 0.11 | 41% | 9 Jun → | ||
| 12–12 | 0.13 | 44% | 8 Jun → | ||
| 4–13 | 0.01 | 22% | 8 Jun → | ||
| 15–15 | 0.02 | 15% | 7 Jun → | ||
| 16–13 | 0.03 | 19% | 7 Jun → | ||
| 6–13 | -0.01 | 19% | 7 Jun → | ||
| 0–10 | -0.11 | 8% | 7 Jun → | ||
| 13–11 | -0.02 | 32% | 3 Jun → | ||
| 10–13 | 0.03 | 29% | 3 Jun → | ||
| 13–5 | 0.01 | 38% | 2 Jun → | ||
| 13–11 | 0.08 | 25% | 2 Jun → | ||
| 13–7 | 0.13 | 24% | 2 Jun → | ||
| 13–10 | 0.08 | 32% | 2 Jun → | ||
| 13–9 | 0.01 | 21% | 31 May → | ||
| 13–6 | 0.08 | 33% | 30 May → | ||
| 13–4 | 0.08 | 37% | 30 May → | ||
| 8–13 | 0.00 | 29% | 27 May → | ||
| 11–13 | -0.03 | 29% | 27 May → | ||
| 9–13 | -0.04 | 27% | 26 May → | ||
| 13–7 | -0.02 | 29% | 26 May → | ||
| 13–11 | 0.10 | 24% | 25 May → | ||
| 13–6 | 0.10 | 30% | 24 May → | ||
| 9–13 | -0.00 | 22% | 21 May → | ||
| 11–13 | -0.02 | 25% | 20 May → | ||
| 13–6 | 0.07 | 29% | 20 May → | ||
| 7–13 | -0.02 | 32% | 13 May → | ||
| 12–12 | 0.00 | 32% | 13 May → | ||
| 2–13 | -0.01 | 29% | 12 May → | ||
| 13–11 | 0.05 | 20% | 12 May → | ||
| 13–11 | 0.05 | 31% | 12 May → | ||
| 13–11 | 0.02 | 26% | 11 May → | ||
| 13–3 | 0.16 | 31% | 10 May → | ||
| 9–13 | 0.05 | 31% | 7 May → | ||
| 13–5 | 0.23 | 42% | 7 May → | ||
| 13–8 | 0.00 | 24% | 7 May → | ||
| 13–11 | 0.03 | 25% | 6 May → | ||
| 13–6 | 0.05 | 24% | 4 May → | ||
| 13–10 | 0.03 | 26% | 25 Apr → | ||
| 9–13 | 0.00 | 34% | 25 Apr → | ||
| 13–7 | 0.06 | 22% | 25 Apr → | ||
| 7–13 | 0.08 | 29% | 25 Apr → | ||
| 15–15 | -0.01 | 27% | 23 Apr → | ||
| 14–16 | 0.05 | 21% | 22 Apr → | ||
| 8–13 | 0.07 | 29% | 22 Apr → | ||
| 13–3 | 0.09 | 27% | 20 Apr → | ||
| 13–2 | 0.10 | 34% | 20 Apr → | ||
| 12–12 | 0.06 | 37% | 19 Apr → |
Match data via Leetify.