Nadda — CS2 Stats
76561198112731601[U:1:152465873]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 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 sh1ro 93% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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
Reaction time. 605ms 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 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 cache | C | 37 | 15–22 | 41% | -0.01 |
 mirage | D | 21 | 7–14 | 33% | -0.03 |
 anubis | A | 10 | 6–4 | 60% | 0.01 |
 ancient | A | 9 | 5–4 | 56% | -0.01 |
 overpass | C | 7 | 3–4 | 43% | 0.00 |
 inferno | B | 6 | 3–3 | 50% | 0.00 |
 train | S | 5 | 4–1 | 80% | 0.02 |
 dust2 | — | 3 | 2–1 | 67% | 0.03 |
| office | — | 1 | 0–1 | 0% | -0.04 |
 vertigo | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 2 | 50% | 1.00 | 14.0 |
| Inferno | 2 | 50% | 0.62 | 12.0 |
| Mirage | 2 | 0% | 0.46 | 6.5 |
| Cache | 1 | 0% | 0.62 | 10.0 |
| Anubis | 1 | 0% | 0.81 | 13.0 |
| Overpass | 1 | 100% | 0.92 | 12.0 |
| Nuke | 1 | 0% | 0.76 | 13.0 |
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.
33% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 16–13 | -0.02 | 18% | 20 Aug → | |
| cache | 10–13 | -0.04 | 28% | 20 Aug → | |
| ancient | 16–13 | -0.02 | 21% | 20 Aug → | |
| anubis | 5–13 | -0.05 | 28% | 20 Aug → | |
| inferno | 6–13 | 0.04 | 26% | 17 Aug → | |
| cache | 9–13 | 0.04 | 44% | 15 Aug → | |
| inferno | 13–8 | 0.02 | 5% | 13 Aug → | |
| cache | 6–13 | -0.05 | 27% | 13 Aug → | |
| dust2 | 16–14 | 0.02 | 17% | 13 Aug → | |
| cache | 13–5 | -0.01 | 12% | 12 Aug → | |
| overpass | 12–12 | 0.00 | 16% | 10 Aug → | |
| ancient | 2–13 | -0.01 | 28% | 10 Aug → | |
| cache | 13–10 | -0.00 | 15% | 9 Aug → | |
| dust2 | 13–3 | 0.03 | 24% | 7 Aug → | |
| dust2 | 7–13 | 0.05 | 14% | 7 Aug → | |
| anubis | 16–12 | 0.06 | 15% | 7 Aug → | |
| train | 13–6 | -0.01 | 27% | 5 Aug → | |
| cache | 16–13 | -0.02 | 14% | 2 Aug → | |
| mirage | 7–13 | -0.05 | 25% | 1 Aug → | |
| ancient | 7–13 | -0.08 | 16% | 31 Jul → | |
| mirage | 2–13 | -0.08 | 25% | 22 Jul → | |
| cache | 13–8 | 0.02 | 15% | 22 Jul → | |
| cache | 15–15 | -0.02 | 25% | 18 Jul → | |
| cache | 13–11 | 0.05 | 11% | 18 Jul → | |
| inferno | 13–11 | -0.05 | 19% | 12 Jul → | |
| overpass | 13–1 | 0.01 | 10% | 11 Jul → | |
| ancient | 13–8 | -0.00 | 20% | 7 Jul → | |
| ancient | 10–13 | 0.04 | 19% | 4 Jul → | |
| overpass | 13–2 | 0.05 | 20% | 4 Jul → | |
| anubis | 13–10 | 0.05 | 25% | 4 Jul → | |
| cache | 4–13 | 0.03 | 27% | 4 Jul → | |
| cache | 4–13 | -0.02 | 33% | 27 Jun → | |
| cache | 13–5 | 0.04 | 17% | 23 Jun → | |
| mirage | 15–15 | -0.00 | 13% | 22 Jun → | |
| cache | 6–13 | -0.02 | 8% | 22 Jun → | |
| train | 13–2 | 0.14 | 22% | 22 Jun → | |
| mirage | 5–13 | 0.01 | 19% | 21 Jun → | |
| cache | 13–2 | 0.05 | 7% | 20 Jun → | |
| train | 13–0 | -0.04 | 27% | 19 Jun → | |
| anubis | 13–9 | -0.04 | 35% | 18 Jun → | |
| cache | 7–13 | -0.02 | 19% | 17 Jun → | |
| mirage | 12–12 | 0.02 | 22% | 14 Jun → | |
| cache | 5–13 | -0.05 | 20% | 14 Jun → | |
| train | 10–13 | -0.02 | 20% | 6 Jun → | |
| mirage | 11–13 | -0.03 | 22% | 5 Jun → | |
| office | 9–13 | -0.04 | 3% | 24 May → | |
| mirage | 7–13 | -0.07 | 15% | 24 May → | |
| cache | 13–11 | -0.02 | 13% | 24 May → | |
| cache | 13–7 | 0.00 | 22% | 23 May → | |
| cache | 7–13 | 0.04 | 19% | 21 May → | |
| cache | 3–8 | 0.16 | 4% | 21 May → | |
| cache | 13–0 | 0.04 | 15% | 12 May → | |
| anubis | 13–6 | -0.00 | 15% | 11 May → | |
| cache | 13–5 | 0.05 | 20% | 10 May → | |
| cache | 7–13 | -0.06 | 3% | 10 May → | |
| cache | 13–5 | 0.02 | 14% | 9 May → | |
| cache | 6–13 | -0.02 | 10% | 9 May → | |
| cache | 10–13 | -0.12 | 14% | 6 May → | |
| cache | 13–9 | -0.05 | 16% | 6 May → | |
| cache | 12–12 | 0.02 | 20% | 4 May → | |
| cache | 10–13 | 0.01 | 13% | 3 May → | |
| cache | 5–13 | -0.02 | 50% | 3 May → | |
| cache | 13–9 | 0.00 | 25% | 3 May → | |
| cache | 9–13 | -0.01 | 14% | 2 May → | |
| cache | 13–8 | -0.02 | 29% | 2 May → | |
| cache | 11–13 | -0.03 | 24% | 2 May → | |
| cache | 11–13 | -0.08 | 7% | 2 May → | |
| cache | 12–12 | -0.06 | 8% | 29 Apr → | |
| cache | 4–13 | -0.09 | 17% | 29 Apr → | |
| overpass | 13–3 | 0.03 | 20% | 26 Apr → | |
| mirage | 13–5 | 0.02 | 30% | 26 Apr → | |
| overpass | 8–13 | 0.03 | 16% | 26 Apr → | |
| overpass | 12–12 | -0.02 | 15% | 25 Apr → | |
| mirage | 5–13 | -0.05 | 17% | 25 Apr → | |
| mirage | 9–13 | -0.07 | 12% | 22 Apr → | |
| inferno | 3–13 | 0.02 | 21% | 22 Apr → | |
| mirage | 13–11 | -0.02 | 8% | 22 Apr → | |
| mirage | 13–11 | -0.04 | 9% | 21 Apr → | |
| mirage | 12–12 | 0.00 | 35% | 19 Apr → | |
| train | 13–4 | 0.03 | 31% | 19 Apr → | |
| anubis | 10–13 | -0.05 | 15% | 16 Apr → | |
| anubis | 13–7 | 0.05 | 24% | 16 Apr → | |
| inferno | 8–13 | 0.01 | 17% | 16 Apr → | |
| overpass | 5–13 | -0.07 | 15% | 15 Apr → | |
| mirage | 3–13 | -0.07 | 19% | 15 Apr → | |
| vertigo | 7–13 | 0.02 | 28% | 13 Apr → | |
| inferno | 13–3 | -0.03 | 14% | 4 Apr → | |
| ancient | 13–3 | 0.02 | 10% | 30 Mar → | |
| mirage | 4–13 | -0.13 | 21% | 30 Mar → | |
| anubis | 3–13 | -0.01 | 10% | 26 Mar → | |
| mirage | 11–13 | -0.02 | 16% | 26 Mar → | |
| ancient | 12–12 | -0.02 | 25% | 26 Mar → | |
| mirage | 9–13 | -0.05 | 16% | 22 Mar → | |
| mirage | 13–6 | 0.03 | 38% | 21 Mar → | |
| mirage | 13–9 | -0.04 | 15% | 8 Feb → | |
| anubis | 10–13 | 0.02 | 24% | 8 Feb → | |
| anubis | 13–0 | 0.06 | 21% | 5 Feb → | |
| ancient | 13–6 | -0.01 | 23% | 5 Feb → | |
| mirage | 13–10 | 0.03 | 21% | 28 Jan → | |
| ancient | 13–7 | 0.00 | 27% | 28 Jan → |
Match data via Leetify.
