aquagrand — CS2 Stats
76561198386944185[U:1:426678457]✓ No bans
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=1,660), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 37.1% | 44.0% | 44.7% | 7.6% short |
| Shot accuracy | 13.0% | 11.6% | 11.9% | above |
| Kill/death ratio | 0.13 | 1.03 | 1.04 | 0.91 short |
| Match win rate | 47.0% | 45.1% | 45.2% | above |
This profile matches the typical Level 6 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashesLimited utility dependence
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 b1t 92% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Flashes. 0.87 enemies blinded per flash — utility that consistently lands.
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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| office | C | 34 | 15–19 | 44% | -0.01 |
 nuke | D | 16 | 5–11 | 31% | -0.01 |
 ancient | A | 14 | 8–6 | 57% | 0.00 |
 anubis | A | 9 | 5–4 | 56% | -0.01 |
 dust2 | D | 8 | 2–6 | 25% | -0.04 |
 train | S | 7 | 5–2 | 71% | -0.02 |
 mirage | — | 4 | 2–2 | 50% | -0.03 |
 overpass | — | 3 | 2–1 | 67% | -0.02 |
 inferno | — | 3 | 1–2 | 33% | -0.04 |
 vertigo | — | 2 | 1–1 | 50% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 90% | 0.87 | 15.8 |
| Ancient | 7 | 57% | 0.80 | 12.7 |
| Dust2 | 6 | 50% | 0.66 | 9.2 |
| Vertigo | 3 | 100% | 1.26 | 15.7 |
| Anubis | 3 | 67% | 0.83 | 11.7 |
| Inferno | 3 | 67% | 0.92 | 15.3 |
| Nuke | 1 | 0% | 0.53 | 9.0 |
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
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 14.5739% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1433 — below the 4 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 39.6075% — 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.
25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 5–13 | -0.03 | 11% | 16 Jul → | |
| office | 13–4 | 0.05 | 11% | 3 Jul → | |
| office | 13–7 | -0.01 | 5% | 30 Jun → | |
| office | 13–1 | 0.11 | 23% | 19 Jun → | |
| office | 10–13 | 0.00 | 14% | 19 Jun → | |
| office | 6–13 | -0.05 | 12% | 31 May → | |
| office | 13–5 | 0.04 | 18% | 31 May → | |
| office | 12–12 | -0.08 | 11% | 31 May → | |
| office | 13–6 | -0.02 | 13% | 30 May → | |
| office | 8–13 | -0.06 | 18% | 12 May → | |
| office | 2–10 | -0.00 | 16% | 12 May → | |
| office | 2–13 | -0.04 | 14% | 6 May → | |
| office | 5–13 | -0.02 | 8% | 6 May → | |
| office | 13–3 | -0.00 | 9% | 6 May → | |
| office | 2–13 | -0.01 | 15% | 5 May → | |
| office | 12–12 | 0.03 | 14% | 3 May → | |
| office | 3–13 | 0.09 | 14% | 3 May → | |
| dust2 | 4–13 | -0.09 | 13% | 3 May → | |
| office | 12–12 | -0.04 | 21% | 27 Mar → | |
| office | 13–8 | -0.01 | 21% | 19 Mar → | |
| office | 13–11 | 0.02 | 15% | 19 Mar → | |
| nuke | 4–13 | -0.03 | 21% | 14 Mar → | |
| dust2 | 10–13 | 0.02 | 20% | 14 Mar → | |
| overpass | 13–6 | -0.03 | 26% | 13 Mar → | |
| overpass | 9–13 | 0.01 | 14% | 13 Mar → | |
| office | 11–13 | -0.08 | 6% | 9 Mar → | |
| office | 8–13 | 0.01 | 29% | 9 Mar → | |
| train | 11–13 | -0.13 | 9% | 26 Feb → | |
| train | 13–11 | 0.00 | 11% | 23 Feb → | |
| anubis | 13–4 | -0.04 | 11% | 23 Feb → | |
| vertigo | 13–9 | -0.01 | 14% | 12 Feb → | |
| train | 9–13 | -0.05 | 5% | 11 Feb → | |
| vertigo | 3–13 | -0.05 | 25% | 11 Feb → | |
| overpass | 13–8 | -0.03 | 15% | 10 Feb → | |
| nuke | 11–13 | 0.00 | 18% | 1 Feb → | |
| dust2 | 9–13 | -0.06 | 13% | 1 Feb → | |
| anubis | 13–10 | 0.02 | 20% | 1 Feb → | |
| anubis | 8–13 | 0.07 | 13% | 1 Feb → | |
| office | 13–11 | -0.03 | 9% | 1 Feb → | |
| ancient | 13–4 | -0.07 | 26% | 1 Feb → | |
| inferno | 12–12 | -0.05 | 3% | 1 Feb → | |
| anubis | 9–13 | -0.03 | 18% | 26 Jan → | |
| nuke | 10–13 | -0.08 | 11% | 18 Jan → | |
| dust2 | 2–13 | -0.06 | 21% | 18 Jan → | |
| mirage | 13–10 | 0.01 | 16% | 18 Jan → | |
| ancient | 8–1 | 0.01 | 21% | 15 Jan → | |
| office | 1–13 | -0.04 | 13% | 12 Jan → | |
| office | 13–11 | -0.03 | 14% | 12 Jan → | |
| office | 13–7 | 0.05 | 13% | 12 Jan → | |
| nuke | 11–13 | 0.04 | 12% | 8 Jan → | |
| dust2 | 13–11 | -0.06 | 26% | 8 Jan → | |
| anubis | 13–9 | 0.04 | 15% | 31 Dec → | |
| office | 5–13 | -0.03 | 17% | 28 Dec → | |
| office | 12–12 | 0.00 | 19% | 28 Dec → | |
| office | 0–5 | -0.05 | 0% | 28 Dec → | |
| office | 13–11 | -0.02 | 10% | 20 Dec → | |
| train | 13–8 | -0.02 | 22% | 20 Dec → | |
| nuke | 2–13 | -0.04 | 11% | 20 Dec → | |
| anubis | 6–13 | -0.03 | 5% | 20 Dec → | |
| nuke | 13–6 | -0.03 | 21% | 11 Dec → | |
| inferno | 12–12 | -0.03 | 13% | 8 Dec → | |
| dust2 | 11–13 | -0.03 | 28% | 8 Dec → | |
| nuke | 10–13 | 0.00 | 9% | 4 Dec → | |
| nuke | 12–12 | 0.03 | 11% | 1 Dec → | |
| office | 9–13 | 0.02 | 15% | 23 Nov → | |
| office | 13–7 | 0.01 | 13% | 23 Nov → | |
| train | 13–8 | 0.01 | 16% | 17 Nov → | |
| nuke | 12–12 | -0.01 | 10% | 7 Nov → | |
| nuke | 11–13 | 0.01 | 14% | 7 Nov → | |
| mirage | 3–9 | -0.01 | 10% | 7 Nov → | |
| nuke | 12–12 | -0.01 | 11% | 3 Nov → | |
| dust2 | 12–12 | 0.01 | 19% | 27 Oct → | |
| nuke | 13–8 | 0.06 | 18% | 27 Oct → | |
| anubis | 13–8 | -0.08 | 24% | 25 Oct → | |
| ancient | 13–10 | -0.00 | 18% | 24 Oct → | |
| ancient | 12–12 | 0.04 | 10% | 23 Oct → | |
| train | 13–1 | 0.05 | 17% | 21 Oct → | |
| nuke | 13–11 | -0.02 | 21% | 21 Oct → | |
| mirage | 13–9 | -0.04 | 14% | 21 Oct → | |
| dust2 | 13–10 | -0.04 | 26% | 21 Oct → | |
| anubis | 13–3 | -0.04 | 5% | 16 Oct → | |
| nuke | 13–3 | 0.07 | 14% | 11 Oct → | |
| mirage | 9–13 | -0.09 | 21% | 11 Oct → | |
| ancient | 7–13 | 0.02 | 13% | 4 Oct → | |
| ancient | 13–8 | -0.03 | 12% | 4 Oct → | |
| office | 8–13 | 0.00 | 13% | 4 Oct → | |
| ancient | 4–13 | -0.01 | 24% | 26 Sept → | |
| office | 13–9 | 0.05 | 17% | 20 Sept → | |
| office | 13–10 | -0.03 | 15% | 20 Sept → | |
| nuke | 8–13 | -0.05 | 21% | 20 Sept → | |
| nuke | 13–8 | -0.04 | 16% | 20 Sept → | |
| inferno | 13–8 | -0.03 | 8% | 20 Sept → | |
| train | 13–11 | 0.01 | 15% | 20 Sept → | |
| ancient | 3–12 | 0.02 | 8% | 20 Sept → | |
| ancient | 13–4 | 0.05 | 24% | 17 Sept → | |
| ancient | 8–13 | 0.09 | 25% | 16 Sept → | |
| ancient | 13–4 | -0.00 | 10% | 16 Sept → | |
| ancient | 13–6 | 0.02 | 7% | 16 Sept → | |
| ancient | 3–13 | -0.06 | 9% | 16 Sept → | |
| ancient | 13–9 | -0.02 | 15% | 16 Sept → |
Match data via Leetify.