NULAQUA — CS2 Stats
MN76561198132329526[U:1:172063798]Steam profile ↗
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective 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 NiKo 87% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; 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 45% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 647ms 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 4.9/10 (Developing), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | -0.02 | |
| C | 21 | 8–13 | 38% | -0.02 | |
| C | 19 | 8–11 | 42% | -0.01 | |
| S | 10 | 7–3 | 70% | -0.01 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| A | 5 | 3–2 | 60% | -0.04 | |
| — | 4 | 0–4 | 0% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 205 | 52% | 0.99 | 15.5 |
| Dust2 | 146 | 49% | 1.00 | 15.2 |
| Ancient | 109 | 47% | 0.97 | 15.1 |
| Inferno | 100 | 56% | 0.99 | 15.0 |
| Nuke | 37 | 49% | 1.03 | 16.4 |
| Anubis | 29 | 31% | 0.87 | 13.5 |
| Overpass | 22 | 59% | 0.97 | 15.9 |
| Train | 19 | 68% | 0.93 | 16.8 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.515° — above the 12° mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.03 | 15% | 22 Aug → | ||
| 7–13 | -0.08 | 23% | 21 Aug → | ||
| 10–13 | -0.03 | 21% | 17 Aug → | ||
| 7–13 | -0.02 | 14% | 16 Aug → | ||
| 13–7 | 0.01 | 13% | 16 Aug → | ||
| 13–9 | -0.03 | 37% | 16 Aug → | ||
| 13–7 | -0.05 | 10% | 16 Aug → | ||
| 4–13 | 0.03 | 28% | 15 Aug → | ||
| 8–13 | -0.04 | 22% | 15 Aug → | ||
| 13–10 | 0.01 | 13% | 13 Jul → | ||
| 19–22 | 0.01 | 24% | 12 Jul → | ||
| 13–7 | 0.03 | 24% | 7 Jul → | ||
| 13–6 | 0.07 | 28% | 6 Jul → | ||
| 11–13 | 0.06 | 13% | 6 Jul → | ||
| 4–13 | -0.04 | 35% | 7 Jun → | ||
| 4–13 | -0.01 | 28% | 6 Apr → | ||
| 13–8 | 0.01 | 16% | 6 Apr → | ||
| 5–13 | -0.02 | 36% | 8 Feb → | ||
| 13–6 | -0.02 | 23% | 8 Feb → | ||
| 13–10 | 0.08 | 10% | 8 Feb → | ||
| 12–16 | -0.07 | 8% | 26 Jan → | ||
| 9–13 | -0.03 | 14% | 25 Jan → | ||
| 11–13 | -0.01 | 11% | 25 Jan → | ||
| 13–10 | 0.04 | 10% | 25 Jan → | ||
| 5–13 | -0.04 | 12% | 21 Jan → | ||
| 13–11 | -0.05 | 19% | 17 Jan → | ||
| 6–13 | -0.03 | 12% | 17 Jan → | ||
| 13–7 | 0.05 | 10% | 17 Jan → | ||
| 17–19 | -0.03 | 17% | 15 Jan → | ||
| 8–13 | -0.01 | 16% | 11 Jan → | ||
| 10–13 | -0.02 | 19% | 11 Jan → | ||
| 11–13 | -0.10 | 22% | 10 Jan → | ||
| 12–16 | -0.04 | 16% | 10 Jan → | ||
| 13–8 | -0.10 | 18% | 10 Jan → | ||
| 13–4 | -0.01 | 13% | 10 Jan → | ||
| 13–11 | 0.05 | 23% | 10 Jan → | ||
| 9–13 | -0.10 | 17% | 9 Jan → | ||
| 13–7 | -0.03 | 13% | 6 Jan → | ||
| 13–11 | -0.04 | 19% | 6 Jan → | ||
| 13–11 | -0.02 | 32% | 5 Jan → | ||
| 7–13 | -0.02 | 29% | 5 Jan → | ||
| 5–13 | -0.04 | 39% | 5 Jan → | ||
| 8–13 | -0.01 | 16% | 5 Jan → | ||
| 13–16 | -0.02 | 36% | 4 Jan → | ||
| 7–13 | -0.08 | 14% | 4 Jan → | ||
| 13–11 | 0.00 | 33% | 4 Jan → | ||
| 13–9 | 0.05 | 22% | 4 Jan → | ||
| 13–7 | -0.04 | 21% | 4 Jan → | ||
| 16–14 | -0.01 | 18% | 3 Jan → | ||
| 14–16 | -0.04 | 14% | 3 Jan → | ||
| 13–11 | 0.02 | 32% | 2 Jan → | ||
| 13–11 | 0.01 | 19% | 2 Jan → | ||
| 9–13 | -0.01 | 29% | 2 Jan → | ||
| 13–9 | -0.02 | 34% | 1 Jan → | ||
| 13–3 | -0.03 | 10% | 1 Jan → | ||
| 19–15 | -0.02 | 13% | 1 Jan → | ||
| 9–13 | 0.01 | 16% | 1 Jan → | ||
| 16–19 | -0.02 | 19% | 1 Jan → | ||
| 9–13 | -0.02 | 18% | 1 Jan → | ||
| 11–13 | -0.07 | 0% | 31 Dec → | ||
| 20–22 | -0.06 | 24% | 31 Dec → | ||
| 13–16 | -0.01 | 25% | 30 Dec → | ||
| 8–13 | -0.08 | 13% | 30 Dec → | ||
| 13–10 | 0.00 | 20% | 30 Dec → | ||
| 13–9 | 0.03 | 27% | 29 Dec → | ||
| 13–10 | 0.08 | 26% | 28 Dec → | ||
| 10–13 | -0.07 | 23% | 28 Dec → | ||
| 13–16 | 0.03 | 21% | 27 Dec → | ||
| 7–13 | -0.00 | 29% | 27 Dec → | ||
| 9–13 | -0.01 | 22% | 26 Dec → | ||
| 13–11 | -0.06 | 11% | 25 Dec → | ||
| 13–11 | -0.01 | 22% | 25 Dec → | ||
| 13–11 | -0.04 | 16% | 24 Dec → | ||
| 5–13 | -0.01 | 33% | 24 Dec → | ||
| 9–13 | 0.01 | 22% | 24 Dec → | ||
| 13–10 | 0.02 | 26% | 24 Dec → | ||
| 5–13 | -0.03 | 17% | 22 Dec → | ||
| 11–13 | -0.13 | 25% | 20 Dec → | ||
| 13–2 | 0.07 | 30% | 20 Dec → | ||
| 13–11 | 0.05 | 25% | 19 Dec → | ||
| 13–6 | 0.01 | 40% | 15 Dec → | ||
| 9–13 | -0.01 | 21% | 14 Dec → | ||
| 22–19 | -0.03 | 31% | 14 Dec → | ||
| 4–13 | -0.05 | 10% | 14 Dec → | ||
| 13–2 | 0.10 | 21% | 14 Dec → | ||
| 13–7 | -0.01 | 20% | 13 Dec → | ||
| 1–13 | -0.04 | 29% | 12 Dec → | ||
| 10–13 | -0.05 | 22% | 12 Dec → | ||
| 9–13 | -0.03 | 26% | 7 Dec → | ||
| 7–13 | -0.09 | 12% | 7 Dec → | ||
| 13–8 | 0.04 | 19% | 6 Dec → | ||
| 22–20 | -0.03 | 30% | 6 Dec → | ||
| 13–10 | -0.02 | 18% | 6 Dec → | ||
| 13–10 | -0.06 | 18% | 6 Dec → | ||
| 5–13 | -0.05 | 27% | 3 Dec → | ||
| 13–6 | 0.04 | 22% | 1 Dec → | ||
| 13–10 | 0.03 | 36% | 1 Dec → | ||
| 13–9 | 0.04 | 31% | 1 Dec → | ||
| 13–5 | -0.03 | 12% | 1 Dec → | ||
| 8–13 | -0.01 | 16% | 1 Dec → |
Match data via Leetify.