Aura monster — CS2 Stats
US76561198883617729[U:1:923352001]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
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 76% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 639ms 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 4.0/10 (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 | 5–10 | 33% | 0.00 | |
| A | 12 | 7–5 | 58% | 0.00 | |
| B | 11 | 5–6 | 45% | -0.03 | |
| D | 6 | 1–5 | 17% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.01 | |
| D | 5 | 1–4 | 20% | 0.01 | |
| — | 4 | 4–0 | 100% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.01 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| shelter | — | 3 | 2–1 | 67% | -0.02 |
| office | — | 2 | 1–1 | 50% | -0.03 |
| agency | — | 2 | 2–0 | 100% | 0.06 |
| jura | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
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 10.7128% — 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 0.3558 — 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 29.5723% — 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.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | -0.03 | 7% | 27 Aug → | ||
| 13–1 | 0.10 | 6% | 27 Aug → | ||
| 13–8 | 0.02 | 18% | 27 Aug → | ||
| 10–13 | -0.06 | 17% | 26 Aug → | ||
| 12–12 | -0.01 | 8% | 26 Aug → | ||
| 8–13 | 0.00 | 22% | 25 Aug → | ||
| 10–13 | -0.05 | 22% | 25 Aug → | ||
| 7–13 | 0.02 | 0% | 23 Aug → | ||
| 5–13 | -0.13 | 4% | 22 Aug → | ||
| 13–9 | -0.04 | 14% | 22 Aug → | ||
| 13–5 | -0.04 | 11% | 22 Aug → | ||
| 9–10 | -0.07 | 9% | 21 Aug → | ||
| shelter | 13–11 | 0.01 | 9% | 20 Aug → | |
| 13–7 | -0.01 | 6% | 20 Aug → | ||
| 6–13 | -0.04 | 12% | 19 Aug → | ||
| 13–11 | -0.01 | 13% | 16 Aug → | ||
| 12–12 | -0.06 | 16% | 9 Aug → | ||
| 8–6 | 0.06 | 0% | 3 Aug → | ||
| 6–10 | 0.02 | 0% | 3 Aug → | ||
| office | 13–5 | -0.02 | 12% | 27 Jul → | |
| 9–13 | 0.02 | 10% | 27 Jul → | ||
| 7–13 | -0.06 | 3% | 27 Jul → | ||
| 3–13 | -0.08 | 11% | 27 Jul → | ||
| 13–11 | 0.02 | 11% | 23 Jul → | ||
| 5–13 | -0.01 | 13% | 23 Jul → | ||
| shelter | 11–13 | -0.04 | 8% | 10 Jul → | |
| shelter | 13–4 | -0.03 | 6% | 10 Jul → | |
| 13–6 | 0.00 | 11% | 8 Jul → | ||
| 1–13 | -0.01 | 25% | 16 Jun → | ||
| 5–13 | 0.09 | 5% | 14 Jun → | ||
| 13–9 | 0.01 | 7% | 23 May → | ||
| 0–13 | -0.11 | 11% | 22 May → | ||
| 3–6 | -0.16 | 0% | 21 May → | ||
| 10–13 | -0.01 | 18% | 21 May → | ||
| 0–12 | -0.05 | 9% | 19 May → | ||
| 13–8 | -0.00 | 20% | 19 May → | ||
| 3–11 | -0.06 | 0% | 14 May → | ||
| 2–13 | -0.09 | 9% | 14 May → | ||
| 13–9 | -0.03 | 4% | 12 May → | ||
| 13–7 | -0.06 | 13% | 12 May → | ||
| 6–13 | -0.01 | 17% | 9 May → | ||
| 13–9 | 0.02 | 12% | 28 Feb → | ||
| 13–10 | 0.14 | 15% | 11 Jan → | ||
| 13–6 | -0.03 | 19% | 7 Jan → | ||
| 13–2 | 0.06 | 10% | 7 Jan → | ||
| 13–7 | 0.10 | 0% | 7 Jan → | ||
| 4–13 | -0.01 | 8% | 6 Jan → | ||
| 13–11 | 0.03 | 8% | 5 Jan → | ||
| 13–4 | 0.05 | 13% | 3 Jan → | ||
| 0–13 | -0.09 | 25% | 3 Jan → | ||
| 13–8 | -0.08 | 20% | 3 Jan → | ||
| 8–13 | -0.02 | 5% | 3 Jan → | ||
| 12–12 | 0.02 | 14% | 3 Jan → | ||
| 3–13 | -0.04 | 11% | 1 Jan → | ||
| 6–13 | -0.05 | 15% | 30 Dec → | ||
| office | 8–13 | -0.05 | 11% | 30 Dec → | |
| 8–13 | -0.05 | 17% | 27 Dec → | ||
| 13–6 | 0.08 | 18% | 18 Dec → | ||
| 8–13 | -0.05 | 6% | 17 Dec → | ||
| 6–13 | -0.02 | 10% | 17 Dec → | ||
| 3–13 | -0.10 | 0% | 17 Dec → | ||
| 4–13 | -0.01 | 20% | 16 Dec → | ||
| 8–13 | -0.03 | 22% | 16 Dec → | ||
| 4–1 | 0.05 | 22% | 16 Dec → | ||
| 9–7 | 0.06 | 19% | 16 Dec → | ||
| 13–6 | 0.05 | 7% | 16 Dec → | ||
| 8–13 | -0.05 | 19% | 16 Dec → | ||
| 1–13 | -0.09 | 0% | 15 Dec → | ||
| 13–5 | 0.02 | 27% | 15 Dec → | ||
| 9–5 | 0.07 | 10% | 25 Nov → | ||
| 13–3 | 0.07 | 13% | 7 Sept → | ||
| 3–13 | 0.02 | 16% | 7 Sept → | ||
| 13–0 | 0.09 | 15% | 13 Aug → | ||
| 4–13 | -0.05 | 0% | 9 Aug → | ||
| 12–12 | 0.02 | 6% | 8 Aug → | ||
| 6–13 | 0.03 | 9% | 8 Aug → | ||
| 13–11 | 0.05 | 20% | 7 Aug → | ||
| 10–13 | -0.02 | 14% | 6 Aug → | ||
| 10–13 | -0.08 | 14% | 6 Aug → | ||
| 6–13 | 0.08 | 19% | 6 Aug → | ||
| agency | 13–5 | 0.12 | 11% | 6 Aug → | |
| agency | 13–5 | 0.01 | 13% | 6 Aug → | |
| 10–13 | -0.05 | 10% | 31 Jul → | ||
| 13–2 | 0.11 | 13% | 31 Jul → | ||
| jura | 9–13 | -0.07 | 12% | 30 Jul → | |
| 5–13 | -0.05 | 14% | 29 Jul → | ||
| 8–13 | 0.05 | 14% | 29 Jul → | ||
| 13–7 | -0.05 | 0% | 28 Jul → | ||
| 13–9 | 0.01 | 12% | 28 Jul → | ||
| 5–13 | -0.06 | 7% | 27 Jul → | ||
| 13–7 | 0.02 | 4% | 27 Jul → | ||
| 12–12 | 0.08 | 20% | 27 Jul → | ||
| 13–11 | 0.17 | 12% | 27 Jul → | ||
| 13–2 | 0.04 | 12% | 27 Jul → | ||
| 6–13 | -0.04 | 14% | 26 Jul → | ||
| 13–6 | 0.01 | 14% | 25 Jul → | ||
| 10–13 | 0.04 | 9% | 25 Jul → | ||
| 13–2 | 0.13 | 5% | 25 Jul → | ||
| 8–13 | 0.11 | 14% | 24 Jul → | ||
| 6–13 | -0.04 | 9% | 23 Jul → |
Match data via Leetify.